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Habitat assessments at Member State level

Choose a period, a group and then a country. Optionally, further refine your query by selecting one of the available biogeographical regions for that country.

Note: Rows in italic shows data not taken into account when performing the assessments (marginal presence, occasional, extinct prior HD, information, etc)

Legend
FV
Favourable
XX
Unknown
U1
Unfavourable-Inadequate
U2
Unfavourable-Bad
Current selection: 2013-2018, Forests, None, None.
Member States reports
Habitat MS Region Range (km2) Area (km2) Structure and functions (km2) Future prospects Overall assessment Distribution area(km2)
Surface Status
(% MS)		 Trend FRR Min Max Best value Type est. Method Status
(% MS)		 Trend FRA
Area in good condition (km2)
Good
(adjusted mean value)		 Not good
(adjusted mean value)		 Not Known
(adjusted mean value)
10115 2090 N/A
1703 943 11354
461.14 162.03 N/A
N/A N/A 571.85
118 40 7242
918.50 77 N/A
451 249 N/A
7 7 16
11 12 36
59 12 N/A
38.45 89.73 N/A
N/A N/A 163.03
4.70 3.30 N/A
5 3 2
81 7 82
40 140 N/A
721 2590 N/A
731 N/A 14269
N/A N/A 1280
51 22 16
345 6 299
211 140 398
N/A N/A 300.98
34.52 80.55 N/A
4.59 N/A 4.41
83 N/A 2450
N/A N/A 8
20 7 5
0.81 15.45 N/A
110 N/A 6945
28 32 N/A
325 325 N/A
N/A N/A 4.38
N/A N/A 2.02
16.50 16.50 N/A
11 7 12
32.50 32.50 N/A
9 2 23
24 22 14
N/A N/A 519.93
125.40 61.52 49.69
N/A N/A N/A
22 37 171
200 150 25
1208.07 N/A 134.23
163.50 126.50 N/A
53.83 40.09 12.07
N/A 175.56 N/A
N/A N/A 645.11
1172 96 N/A
7.25 0.60 N/A
124.48 49.11 233.41
6508.82 342.57 N/A
474 445 N/A
145.50 145.50 145.50
N/A N/A 465.50
N/A N/A 1
448 2717 5
9 1 1
N/A 1.50 N/A
64.34 N/A N/A
14.08 N/A N/A
447 46 N/A
53.35 0.26 20.93
839 171 N/A
5962 255 N/A
0.19 0.19 1.61
10.56 4.99 404.45
168 33 N/A
587.50 122.50 N/A
73.22 N/A N/A
136.50 N/A N/A
21 21 8
11 3 6
227.47 28.20 0.68
769.01 107.58 278.40
2.15 2.75 N/A
3 550 550
307.17 84.07 37.53
N/A N/A 59.15
43.50 130.50 66
1.20 31.21 N/A
1288 8517 472
379.90 145.53 894.58
0.07 2.48 N/A
8.16 10.81 126.11
150 2350 N/A
24.34 17.80 38.86
5.08 1.27 1.59
N/A N/A N/A
44.50 N/A N/A
63 60 N/A
0.53 N/A 0.81
3 1 6
764.59 87.43 238.87
673.73 N/A N/A
690.93 N/A 76.77
1675 4550 N/A
196.83 32.83 0.34
0.33 377.45 N/A
22.17 21.04 4526.79
2838 176 N/A
544.07 N/A N/A
N/A N/A 326.50
206.28 58.73 9.86
5.65 27.45 66
753.50 646.50 N/A
832.50 367.50 N/A
12.59 N/A N/A
408.50 175 129
16 14 10
450 45 105
882 39 N/A
5175 127 N/A
13.29 6.16 103.55
3094 19614 468
N/A N/A N/A
585 35 N/A
185.62 0.53 17.30
2004.62 N/A N/A
2.33 0.56 37.11
N/A N/A 750
N/A 2.42 N/A
21.46 24.20 100
5951.67 280.44 N/A
79.87 36.97 91.89
3.70 0.37 2.46
6.91 0.88 64.21
N/A N/A 83
0.37 0.09 N/A
8.50 0.40 0.10
2.09 0.70 N/A
13.59 N/A 21.80
112.50 12.50 N/A
N/A N/A 39.23
N/A N/A N/A
N/A N/A N/A
N/A N/A N/A
N/A 35.98 143.92
0.40 0.04 N/A
218.65 14.07 2.85
N/A N/A N/A
12.50 5 2
N/A 59.28 237.12
0.67 0.86 2.48
N/A N/A 2
N/A N/A 99
3.38 2.62 N/A
7.51 4.12 N/A
0.24 N/A 0.09
13.24 3.52 563.24
577.15 N/A N/A
0.01 N/A N/A
477.76 N/A N/A
59.92 107.40 127.62
55.44 16.52 78.55
7.23 9.58 146.33
245 50 N/A
209.50 50.50 130
77.50 969.50 61.50
22.50 142.50 75
3 550 550
8.09 0.43 1.27
0.18 6.47 N/A
N/A N/A 22.50
176 7 N/A
144 16 N/A
8.50 0.60 1
99.37 14.12 22.35
22.29 0.25 2.24
7.15 6.45 N/A
28.04 7.91 N/A
8.21 0.11 0.84
3.30 0.06 6.64
55.73 4.17 0.12
6.20 26.40 16.90
N/A N/A 277.50
2.09 N/A 0.19
N/A N/A 147.39
445 2491 91
7 13 10
19 31 70
50 250 135
5.30 1.75 22.95
308.54 90.76 N/A
170.81 48.20 61.24
1325.27 N/A N/A
43.50 31.50 N/A
N/A N/A N/A
N/A N/A N/A
N/A 9.90 N/A
0.76 89.54 N/A
7.51 N/A N/A
N/A 28.03 N/A
19.66 6.78 57.87
122 328 N/A
1123.08 N/A N/A
54.50 30.50 N/A
8177 909 N/A
N/A 0.75 N/A
N/A N/A 235
1212.20 1737.80 N/A
1.50 13.50 N/A
4.32 1.12 1.55
916.72 166.70 231.20
622 20 N/A
N/A N/A 125
N/A N/A 0.04
1824.38 0.01 N/A
0.57 N/A N/A
0.18 1.16 5.67
521.28 87.44 56.33
3.51 4.84 1.12
N/A N/A 8.70
223 N/A N/A
15.55 2.95 N/A
N/A N/A 85.70
90.79 0.09 2.71
17.60 0.35 0.07
85.57 13.78 0.91
12.60 29.74 196.42
55.69 4.84 N/A
0.01 N/A 36.38
5.68 2.27 6.56
10.40 6.26 14.01
18.73 N/A N/A
0.03 N/A N/A
54.38 N/A N/A
31.50 4.50 6
4.80 N/A N/A
9.65 3.35 N/A
6.55 0.85 N/A
1.48 0.01 0.63
N/A N/A 14.70
N/A N/A N/A
8.25 0.95 2.30
0.11 N/A 0.24
N/A N/A 0.13
186.86 36.66 N/A
N/A N/A 18.35
N/A N/A 15.75
1.54 0.30 0.23
113.66 9.33 53.74
9.52 1.32 259.16
0.71 0.29 8
104.04 N/A 11.56
0.75 N/A N/A
7 6 7
0.40 0.80 0.20
45.50 50 75
2.50 52.50 55
222 9 350
7.50 N/A N/A
N/A N/A 4.40
4.80 N/A 0.20
3.90 34.50 5.55
7.30 13.70 24
0.40 0.76 2.84
N/A N/A 60
7 6 6
16 8 16
41.54 13.27 15.76
100.30 85.53 2.94
59.72 60.56 16.99
N/A 13.34 N/A
N/A 30.57 N/A
132 528 N/A
11 18 N/A
0.33 0.24 N/A
95.05 5.15 3.90
257.50 234.50 225.50
N/A N/A 2.70
2.36 3.60 0.02
64.06 227.88 624.34
1 N/A N/A
41.94 18.14 N/A
478.61 81.47 61.59
17.64 N/A N/A
736.46 0.04 N/A
4.80 1.50 N/A
N/A N/A 122.50
9.27 N/A N/A
36.71 N/A N/A
80.43 16.24 0
N/A 0.01 0
N/A N/A N/A
N/A N/A 0.15
3.30 0.02 0.05
35.31 49.33 241.96
1.08 N/A 0.12
238.09 N/A N/A
6.35 N/A N/A
94.75 34.34 673.85
337.73 0.01 N/A
164.52 N/A 18.28
1918.98 0.04 N/A
63 13 74
7.33 3.67 N/A
289.65 280.35 N/A
350 90 30
N/A 44.84 N/A
N/A 8.10 N/A
7880 6055 5065
0.07 N/A N/A
170 N/A N/A
61.50 71.50 N/A
114.86 96.67 N/A
35.06 57.50 45.52
5.18 0.57 N/A
0.01 N/A N/A
93.86 9.43 22.81
N/A N/A 40
N/A N/A 4.10
6 0.20 1993
1601 1241 17159
2.04 0.09 N/A
1 1 28
10 7.80 12.50
N/A N/A 24
9 3 N/A
2.69 2.92 N/A
N/A N/A 500.60
0.01 N/A N/A
0.04 N/A N/A
8.54 0.55 0
N/A N/A 9
N/A 0.06 N/A
3.54 2.54 17.91
1.91 3.55 0.41
4.12 0.95 1.50
0.42 N/A N/A
833.62 67.58 N/A
N/A N/A 0.03
N/A N/A 8.10
N/A N/A 287.10
20.05 23 N/A
457.92 103.54 52.32
44.21 N/A N/A
0.36 N/A N/A
0.10 N/A N/A
3.15 0.20 0.94
3.44 11.01 94.64
7.10 2.20 1.29
14 1.50 2.50
64.86 31.68 N/A
40.34 4.94 9.06
116.27 11.54 0.28
16.89 14.57 0.67
37.50 70 N/A
572.13 193.98 N/A
N/A N/A N/A
N/A N/A N/A
N/A N/A N/A
0.35 N/A 1.15
144 282.50 73.50
422.05 602.95 N/A
N/A 7.81 N/A
1.18 184.10 N/A
37 1 N/A
N/A N/A 48.50
3.20 109.05 19.15
3.30 1.80 114.90
234.32 N/A N/A
2.57 N/A N/A
3.23 2.34 36.43
29 39 N/A
N/A N/A 10
7 7 26
3 5 2
16.66 2.98 N/A
1.39 0.37 13.30
N/A N/A 64.70
N/A N/A 3
41.26 27.39 332.16
76.41 N/A 8.49
80.55 24.05 N/A
200 200 200
637.50 468 610
849 1040 1040
N/A N/A 40
1.58 1.03 5.39
15.50 10.50 N/A
55 50 N/A
27.99 92.88 125.40
3.80 4.63 N/A
0.58 0.02 1499.40
6.70 1.70 91.60
N/A 0.01 N/A
N/A N/A 0.53
23.90 N/A N/A
39.59 N/A N/A
85.17 17.19 8.46
61.83 13.06 2.38
110.69 56.56 10.81
6 1 N/A
N/A N/A N/A
323.50 275.50 225.50
218.50 306.50 306.50
5 5 5
N/A 28.92 67.48
0.78 N/A N/A
1082.63 200 N/A
N/A N/A 4.89
84 104.50 26.50
0.25 4.72 0.36
55.95 6.84 0.16
29.69 1.19 0.19
N/A N/A 2.91
4.19 1.04 N/A
0.45 0.45 N/A
63.60 236.40 N/A
N/A N/A N/A
452 61 N/A
146 41 N/A
82 N/A 46
0.20 0.80 7
0.10 0.20 0.03
53 44 N/A
1.24 0.41 N/A
1.57 5.03 60.39
223.23 N/A N/A
31.01 12.17 2.77
35.19 2.67 0.70
120 25 N/A
4.71 2.89 38.40
0.74 0.18 N/A
112.90 0.15 N/A
4.07 3.97 70.96
462.50 435 102.50
1547.03 N/A N/A
N/A N/A N/A
0.52 0.46 0.01
379.15 0.68 N/A
4.66 N/A N/A
24.11 N/A N/A
6.42 3.93 52.65
2.85 2.74 15.41
0.42 N/A N/A
195 72.50 42.50
N/A N/A 3.75
0.64 0.01 N/A
16.99 N/A N/A
3.20 0.30 0.35
6.26 0.38 0.88
50.35 43.65 N/A
4.07 3.62 24.31
1 1.33 7.67
17 29 7
648 100 N/A
46 5 N/A
559 59 N/A
8.69 0.41 N/A
28 2.92 6.20
19.99 3.64 0.41
6.11 N/A N/A
1159.71 N/A N/A
89.90 N/A N/A
0.29 0.54 N/A
4.90 7.37 0.23
N/A N/A N/A
2050 603 N/A
242 3 N/A
2257.45 N/A N/A
3525.95 N/A N/A
3304.85 N/A N/A
573.40 15.75 0.88
162.50 65 42.50
N/A N/A 435
1678.50 598.50 N/A
1117 65 N/A
N/A N/A 2.07
596 53 N/A
24 7 N/A
515 131 N/A
1589.57 N/A N/A
3 1.40 28.10
76.13 6.78 0.96
125.64 14 N/A
155 120 77.50
50.20 3.69 0.39
N/A N/A 0.15
38.38 1.30 1.78
68.78 5.30 0.14
5397.42 0.08 N/A
440 612.50 180
1456.53 N/A N/A
106.83 0.04 N/A
9695.70 N/A 1077.30
66 5 N/A
4755 261 N/A
0.26 N/A N/A
0.14 N/A N/A
746.24 28.23 10.50
3.92 2.78 8.30
2.31 6.10 61.59
116.50 8.50 N/A
N/A N/A 15
N/A 0.36 0.39
18.50 34.50 5
123 62 N/A
0.16 0.02 N/A
4.85 1.21 13.93
N/A N/A 5.30
38.49 N/A N/A
20 2 N/A
23.50 1.50 N/A
47.63 N/A N/A
220.39 N/A N/A
0.16 0.08 N/A
0.62 0.03 1.98
N/A N/A 71.86
N/A N/A 4
22.86 2.54 N/A
2.42 2.08 1.94
67.20 98.85 N/A
2.68 3.24 0.14
1.91 0.16 0.86
1628 49 N/A
13208 579 N/A
1018.72 0.04 N/A
1105.16 N/A N/A
N/A N/A 0.80
4779 153 N/A
750 31 N/A
7.78 N/A N/A
5.99 N/A N/A
375.37 N/A N/A
231.35 10.92 0.73
1237.84 28.66 16.81
389.20 N/A N/A
34.92 2.67 0.41
35.38 N/A N/A
204.90 0.83 0.68
278.06 318.40 977.30
3635.80 2028.13 861.98
5031.50 5031.50 5031.50
N/A N/A N/A
N/A N/A N/A
N/A N/A 102.70
N/A N/A N/A
20.05 42.27 154.69
367.74 465.86 1984.74
401.13 0.69 N/A
170.64 N/A 18.96
30 125 N/A
16.30 1.45 189.01
N/A 1.72 0.23
N/A N/A 16
N/A N/A 14.70
N/A N/A 3.20
0.88 N/A N/A
N/A N/A 0.05
435.78 N/A 48.42
11.16 N/A N/A
12.50 N/A N/A
108.43 N/A N/A
164.22 19.77 3.71
226.52 46.50 4.25
787.14 119.05 531
N/A N/A N/A
163.16 197.95 137.17
5.91 N/A N/A
0.01 N/A N/A
507.81 N/A 56.42
896.40 N/A 99.60
390.60 N/A 43.40
3.38 0.68 N/A
0.56 0.46 0.70
N/A N/A N/A
0.71 0.79 0.50
90 30 80
0 0.04 N/A
166.23 87.08 612.83
N/A N/A 1.43
N/A N/A N/A
174.71 40.49 1.54
80.55 14.95 0.49
14.55 0.88 N/A
240.57 N/A 26.73
17 1 N/A
351 78 N/A
N/A N/A 5
607 25 N/A
0.07 0.43 N/A
14.68 N/A N/A
1.94 N/A N/A
N/A N/A N/A
N/A N/A N/A
0.13 0.20 4.48
4.60 N/A N/A
8.90 12.62 N/A
0.20 N/A N/A
19.22 2.32 0.10
495.99 N/A 55.11
0.01 N/A N/A
1.94 N/A N/A
2.43 3.51 N/A
123.84 N/A 13.76
N/A N/A N/A
2 N/A 2.50
N/A N/A N/A
0.17 0.08 N/A
37.69 10.90 12.27
14.68 N/A N/A
1.98 0.61 3.48
219.15 74.22 917.98
N/A N/A 5.20
N/A N/A 20.10
N/A 0.69 2.78
200 N/A N/A
345.48 N/A 38.39
69.52 46.35 N/A
17 17 17
490.60 156.91 91.02
N/A N/A N/A
3 N/A N/A
25.74 N/A 33.23
131.08 10.04 11.15
N/A N/A N/A
0.17 0.14 N/A
1.22 0.53 2.22
N/A N/A N/A
293.36 18.90 34.05
125.50 125.50 125.50
107.50 107.50 107.50
1012.83 1217.74 361.28
N/A N/A 75
2250 50 150
N/A N/A 19
2581.62 3973.29 11266.90
95.80 84.73 256.52
8.28 157.39 93.07
1653.30 N/A 183.70
776.66 N/A N/A
0.40 N/A N/A
N/A N/A N/A
0.02 0.01 N/A
16.02 1.98 0.92
N/A N/A 97.86
2217.99 127.64 50.48
0.30 N/A N/A
266.67 N/A 29.63
95.83 N/A 7.10
216 156 95
9.95 N/A 13.90
N/A 0.26 1.02
14.12 7.17 13.01
9.74 12.66 33.99
19 N/A N/A
N/A N/A N/A
N/A N/A N/A
22.34 2.90 1.95
55.26 6.14 N/A
2.97 3.47 N/A
10.21 N/A N/A
97.50 7.50 N/A
N/A N/A 18
N/A N/A 125
N/A N/A 0.81
833.24 98.65 0.82
45 35 N/A
52.50 17.50 N/A
305.75 N/A N/A
5 4 34.64
4683 567 N/A
7.35 4.18 370.47
4892 16 N/A
1134.06 N/A N/A
488 52.46 37.06
91.83 3.70 N/A
67.50 15 N/A
280.41 70.10 N/A
72.18 N/A 8.02
N/A N/A 18.60
1000 N/A N/A
1.30 N/A N/A
12.82 1.43 N/A
100 100 100
4.11 0.63 1.75
N/A N/A 2784.52
0.44 N/A N/A
78 78 78
0.24 N/A N/A
55 545 550
21.09 N/A 0.06
0.74 N/A 16.26
62.85 464.13 105.06
N/A N/A N/A
9.70 N/A N/A
6.56 N/A N/A
36.80 0.76 N/A
30.23 0.76 N/A
7.84 3.24 2.17
76.63 0.01 N/A
18.50 N/A 14.20
N/A N/A 1.18
32.89 N/A N/A
16.50 1.50 N/A
1.07 20.24 8.14
255.26 686.69 3101.17
N/A N/A N/A
33.80 N/A N/A
29.23 N/A N/A
106 0.31 9.49
0.78 N/A N/A
68.81 N/A 0.01
125 30 60
2324.34 N/A 258.26
13.34 N/A N/A
231.27 0.01 N/A
225 200 90
187.72 N/A N/A
0.27 0.05 N/A
1116.17 159.45 N/A
6193.98 N/A 688.22
3.19 3.14 N/A
2079.80 3161.67 7291.40
N/A N/A 399.52
626.12 N/A 110.86
N/A 22.39 89.56
N/A N/A 14
7.50 1 1
N/A N/A 0.04
18.23 N/A N/A
33.22 N/A 11.18
516.97 149.49 1091.85
N/A N/A 1.21
2.47 N/A N/A
1.84 0.26 N/A
80.50 105 1
N/A N/A N/A
0.17 N/A N/A
0.01 0 N/A
0.64 0.18 0.12
2.98 0.61 2.63
N/A N/A N/A
N/A N/A N/A
N/A N/A 0.03
0.56 0.07 1.28
7.66 N/A 0.04
N/A N/A 1
2.91 N/A N/A
5.33 N/A 0
179.40 N/A N/A
N/A 85.93 200.50
0.31 N/A N/A
Good
Not good Not known Status Trend Range
prosp.		 Area
prosp.		 S & f
prosp.		 Status Curr. CS Curr. CS
trend		 Prev. CS Prev. CS
trend		 Status
Nat.
of ch.		 CS trend
Nat. of ch.		 Distrib. Method % MS
9010 - Western Taiga FI BOR 348100 38.05 = ≈ N/A N/A 12000 estimate b 43.02 - > 9230 - 11000 980 - 3200 N/A - N/A U1 - good poor poor U1 U1 - U1 = noChange genuine 262800 b 34.32
9010 - Western Taiga SE BOR 384000 41.98 = 384000 14000 14000 14000 estimate b 50.19 - 35000 1703 - 1703 943 - 943 11354 - 11354 U1 - good bad poor U2 U2 - U2 - noChange noChange 348200 b 45.47
9010 - Western Taiga LV BOR 64505 7.05 = x 496.33 750 N/A estimate b 2.23 x x 367.28 - 555 129.05 - 195 N/A - N/A U2 u good unk unk XX U2 x U2 - knowledge knowledge 64200 b 8.38
9010 - Western Taiga LT BOR 64787 7.08 = 64787 N/A N/A 571.85 estimate a 2.05 - > N/A - N/A N/A - N/A 571.85 - 571.85 U1 u good poor poor U1 U1 x U2 - knowledge knowledge 48800 a 6.37
9010 - Western Taiga SE ALP 72000 81.91 = 72000 7400 7400 7400 estimate b 88.20 - 7900 118 - 118 40 - 40 7242 - 7242 U1 - good poor poor U1 U1 - U1 - noChange noChange 49200 b 85.12
9010 - Western Taiga FI ALP 15900 18.09 = ≈ N/A N/A 990 estimate c 11.80 = ≈ 917 - 920 74 - 80 N/A - N/A FV = good good good FV FV = FV N/A noChange noChange 8600 b 14.88
9010 - Western Taiga EE BOR 53400 5.84 = ≈ N/A N/A 700 estimate a 2.51 - ≈ 451 - 451 249 - 249 N/A - N/A U2 + good good poor U1 U2 x U2 + method method 41800 a 5.46
9010 - Western Taiga SE CON 18000 100 = 18000 30 30 30 estimate b 100 x 80 7 - 7 7 - 7 16 - 16 U1 x good bad poor U2 U2 x U2 x noChange noChange 8500 b 100
9020 - Fennoscandian hemiboreal natural old braod-leaved deciduous forests (Quercus, Tilia, Acer, Fraxinus or Ulmus) rich in epiphytes SE BOR 138000 42.23 = 138000 60 60 60 estimate b 13.95 + 100 11 - 11 12 - 12 36 - 36 U1 x good bad poor U2 U2 = U2 + noChange noChange 59800 b 30.43
9020 - Fennoscandian hemiboreal natural old braod-leaved deciduous forests (Quercus, Tilia, Acer, Fraxinus or Ulmus) rich in epiphytes EE BOR 43400 13.28 = ≈ N/A N/A 71 estimate a 16.50 - ≈ 59 - 59 12 - 12 N/A - N/A U1 = good good poor U1 U1 - U1 + knowledge knowledge 20800 a 10.59
9020 - Fennoscandian hemiboreal natural old braod-leaved deciduous forests (Quercus, Tilia, Acer, Fraxinus or Ulmus) rich in epiphytes LV BOR 11927 3.65 = x 111.37 145 N/A estimate b 29.80 x x 33.41 - 43.50 77.96 - 101.50 N/A - N/A U2 = good unk poor U1 U2 = U2 - knowledge knowledge 43600 b 22.19
9020 - Fennoscandian hemiboreal natural old braod-leaved deciduous forests (Quercus, Tilia, Acer, Fraxinus or Ulmus) rich in epiphytes LT BOR 64787 19.82 = 64787 N/A N/A 163.03 estimate a 37.90 - > N/A - N/A N/A - N/A 163.03 - 163.03 U2 - good bad poor U2 U2 - U2 - knowledge knowledge 47100 a 23.97
9020 - Fennoscandian hemiboreal natural old braod-leaved deciduous forests (Quercus, Tilia, Acer, Fraxinus or Ulmus) rich in epiphytes FI BOR 68700 21.02 = ≈ N/A N/A 8 estimate b 1.86 = > 2.40 - 7 1 - 5.60 N/A - N/A U1 = good poor poor U1 U1 = U1 = noChange noChange 25200 b 12.82
9020 - Fennoscandian hemiboreal natural old braod-leaved deciduous forests (Quercus, Tilia, Acer, Fraxinus or Ulmus) rich in epiphytes SE CON 20000 100 = 20000 10 10 10 estimate b 100 + 50 5 - 5 3 - 3 2 - 2 U2 x good bad bad U2 U2 = U2 x noChange noChange 10300 b 100
9030 - Natural forests of primary succession stages of landupheaval coast SE BOR 22000 44.18 = 22000 170 170 170 estimate b 48.57 - 170 81 - 81 7 - 7 82 - 82 U1 x good poor poor U1 U1 x U1 x noChange noChange 14500 b 43.81
9030 - Natural forests of primary succession stages of landupheaval coast FI BOR 27800 55.82 = ≈ N/A N/A 180 estimate a 51.43 - > 10 - 70 110 - 170 N/A - N/A U2 u good poor poor U1 U2 x U1 - noChange noChange 18600 a 56.19
9040 - Nordic subalpine/subarctic forests with Betula pubescens ssp. czerepavonii FI ALP 21200 18.40 = ≈ N/A N/A 3320 estimate a 18.12 - > 42 - 1400 1900 - 3280 N/A - N/A U2 - good poor bad U2 U2 - U1 - genuine noChange 19000 a 21.23
9040 - Nordic subalpine/subarctic forests with Betula pubescens ssp. czerepavonii SE ALP 94000 81.60 = 94000 15000 15000 15000 estimate b 81.88 = 15000 731 - 731 N/A - N/A 14269 - 14269 XX = good good Unk FV FV = FV N/A noChange noChange 70500 b 78.77
9040 - Nordic subalpine/subarctic forests with Betula pubescens ssp. czerepavonii FI BOR 41300 100 = ≈ N/A N/A 1280 estimate a 100 = ≈ N/A - N/A N/A - N/A 1280 - 1280 XX - poor poor poor U1 U1 - U1 = noChange knowledge 16000 a 100
9050 - Fennoscandian herb-rich forests with Picea abies EE BOR 44000 5.13 = ≈ N/A N/A 89 estimate a 2.34 - ≈ 51 - 51 22 - 22 16 - 16 U1 = good poor poor U1 U1 - U1 - genuine noChange 29100 a 5.59
9050 - Fennoscandian herb-rich forests with Picea abies SE ALP 55000 79.83 = 55000 650 650 650 estimate b 98.63 - 700 345 - 345 6 - 6 299 - 299 U1 x good poor poor U1 U1 x U1 - noChange knowledge 17600 b 75.86
9050 - Fennoscandian herb-rich forests with Picea abies SE BOR 344000 40.14 = 344000 750 750 750 estimate b 19.71 - 3000 211 - 211 140 - 140 398 - 398 U1 x good bad poor U2 U2 x U2 - noChange knowledge 141100 b 27.10
9050 - Fennoscandian herb-rich forests with Picea abies LT BOR 64787 7.56 = 64787 N/A N/A 300.98 estimate a 7.91 u > N/A - N/A N/A - N/A 300.98 - 300.98 U1 u good poor poor U1 U1 x U1 = knowledge knowledge 59300 a 11.39
9050 - Fennoscandian herb-rich forests with Picea abies LV BOR 61690 7.20 x x 114.15 116 N/A estimate b 3.02 x x 34.25 - 34.80 79.90 - 81.20 N/A - N/A U2 x good poor poor U1 U2 x N/A N/A knowledge knowledge 45200 b 8.68
9050 - Fennoscandian herb-rich forests with Picea abies FI ALP 13900 20.17 = ≈ N/A N/A 9 estimate a 1.37 = ≈ 4.59 - 4.59 N/A - N/A 4.41 - 4.41 U1 - good good poor U1 U1 = FV N/A genuine noChange 5600 a 24.14
9050 - Fennoscandian herb-rich forests with Picea abies FI BOR 342600 39.97 = ≈ 1500 3600 N/A estimate b 67.02 = ≈ 83 - N/A N/A - N/A 1400 - 3500 U1 = good good poor U1 U1 = U1 = noChange noChange 245900 a 47.23
9060 - Coniferous forests on, or connected to, glaciofluvial eskers LT BOR 64787 13.12 = 64787 N/A N/A 8 estimate a 0.11 u > N/A - N/A N/A - N/A 8 - 8 U2 - good bad bad U2 U2 x U1 = knowledge knowledge 8400 a 3.02
9060 - Coniferous forests on, or connected to, glaciofluvial eskers EE BOR 12800 2.59 = ≈ N/A N/A 32 estimate a 0.45 - ≈ 20 - 20 7 - 7 5 - 5 U1 = good good poor U1 U1 - U1 = noChange noChange 7100 a 2.55
9060 - Coniferous forests on, or connected to, glaciofluvial eskers LV BOR 11927 2.41 = ≈ N/A N/A 16.26 estimate b 0.23 u x 0.81 - 0.81 15.45 - 15.45 N/A - N/A U2 - good good bad U2 U2 x U2 - knowledge knowledge 6000 b 2.15
9060 - Coniferous forests on, or connected to, glaciofluvial eskers FI BOR 329400 66.69 = ≈ N/A N/A 7000 estimate b 98.37 = ≈ 110 - N/A N/A - N/A 6890 - 7000 U2 - good good bad U2 U2 - U2 - noChange noChange 242000 a 86.86
9060 - Coniferous forests on, or connected to, glaciofluvial eskers SE BOR 75000 15.18 = 75000 60 60 60 estimate b 0.84 - 300 28 - 28 32 - 32 N/A - N/A U2 - good bad bad U2 U2 - U2 - noChange noChange 15100 b 5.42
9070 - Fennoscandian wooded pastures SE BOR 255000 41.96 = >> N/A N/A 650 estimate b 90.23 = >> 325 - 325 325 - 325 N/A - N/A U2 = bad bad bad U2 U2 = U2 - noChange genuine 134100 b 50.49
9070 - Fennoscandian wooded pastures LT BOR 64787 10.66 = 64787 N/A N/A 4.38 estimate a 0.61 - > N/A - N/A N/A - N/A 4.38 - 4.38 U2 - good bad bad U2 U2 - U2 - knowledge knowledge 7900 a 2.97
9070 - Fennoscandian wooded pastures LV BOR 5514 0.91 x x 1.75 2.28 N/A estimate b 0.28 x x N/A - N/A N/A - N/A 1.75 - 2.28 XX x unk unk unk XX XX N/A N/A knowledge knowledge N/A a 0
9070 - Fennoscandian wooded pastures SE ALP 37000 100 = ≈ N/A N/A 33 estimate b 100 = >> 16.50 - 16.50 16.50 - 16.50 N/A - N/A U2 = good bad bad U2 U2 = U2 - N/A genuine 8000 b 100
9070 - Fennoscandian wooded pastures EE BOR 26500 4.36 = ≈ N/A N/A 30 estimate a 4.16 = ≈ 11 - 11 7 - 7 12 - 12 U1 = good good poor U1 U1 = U1 = noChange noChange 16300 a 6.14
9070 - Fennoscandian wooded pastures SE CON 21900 100 = ≈ N/A N/A 65 estimate b 100 + >> 32.50 - 32.50 32.50 - 32.50 N/A - N/A U2 + good bad bad U2 U2 + U2 - noChange genuine 14100 b 100
9070 - Fennoscandian wooded pastures FI BOR 255900 42.11 = ≈ N/A N/A 34 estimate b 4.72 = > 9 - 9 2 - 2 23 - 23 U2 = good poor bad U2 U2 = U2 - noChange knowledge 107300 a 40.40
9080 - Fennoscandian deciduous swamp woods SE CON 20000 100 = 20000 60 60 60 estimate b 100 - 50 24 - 24 22 - 22 14 - 14 U2 x good poor bad U2 U2 x U2 x noChange noChange 13600 b 100
9080 - Fennoscandian deciduous swamp woods LT BOR 64787 8.59 = 64787 N/A N/A 519.93 estimate a 38.19 u ≈ N/A - N/A N/A - N/A 519.93 - 519.93 U1 u good poor unk U1 U1 x FV N/A knowledge knowledge 66100 a 16.37
9080 - Fennoscandian deciduous swamp woods LV BOR 64566 8.56 = x 223.22 250 N/A estimate b 17.38 - x 118.30 - 132.50 58.03 - 65 46.88 - 52.50 U2 = good poor poor U1 U2 - U2 - knowledge knowledge 68300 b 16.91
9080 - Fennoscandian deciduous swamp woods FI BOR 250600 33.22 = ≈ N/A N/A N/A d 0 x > N/A - N/A N/A - N/A N/A - N/A U2 - good unk bad U2 U2 x U2 - noChange method 79500 b 19.68
9080 - Fennoscandian deciduous swamp woods SE BOR 322000 42.69 = 322000 230 230 230 estimate b 16.89 - 400 22 - 22 37 - 37 171 - 171 U1 x good bad poor U2 U2 x U2 x noChange noChange 152200 b 37.68
9080 - Fennoscandian deciduous swamp woods EE BOR 52300 6.93 = ≈ 350 400 N/A estimate a 27.54 = ≈ 200 - 200 150 - 150 N/A - 50 U2 = good good poor U1 U2 = U2 = noChange noChange 37800 a 9.36
9110 - Luzulo-Fagetum beech forests GR MED 1971 16.33 = ≈ N/A N/A 1342.30 estimate b 86.75 = ≈ 1208.07 - 1208.07 N/A - N/A 134.23 - 134.23 FV = good good good FV FV = FV N/A noChange noChange 12000 b 68.97
9110 - Luzulo-Fagetum beech forests PL ALP 15000 6.60 = ≈ N/A N/A 290 estimate b 2.79 = ≈ 74 - 253 37 - 216 N/A - N/A U1 = good good good FV U1 = FV N/A knowledge noChange 10100 b 6.80
9110 - Luzulo-Fagetum beech forests IT MED 10100 83.67 + ≈ 194.54 215.67 N/A estimate b 13.25 u ≈ 53.83 - 53.83 40.09 - 40.09 12.07 - 12.07 U1 u unk unk unk XX U1 x XX N/A method method 5400 b 31.03
9110 - Luzulo-Fagetum beech forests DK CON 22623 3.17 = ≈ N/A N/A 175.56 estimate b 1.09 x ≈ N/A - N/A 175.56 - 175.56 N/A - N/A U2 - good good bad U2 U2 - U2 = N/A N/A 10700 b 2.16
9110 - Luzulo-Fagetum beech forests IT CON 22200 3.11 + ≈ 429.01 861.21 N/A estimate b 4 - > N/A - N/A N/A - N/A 429.01 - 861.21 XX = good poor good FV U1 = FV N/A knowledge knowledge 7500 b 1.51
9110 - Luzulo-Fagetum beech forests RO CON 58900 8.24 = ≈ N/A N/A 1268 estimate a 7.87 = ≈ 1172 - 1172 96 - 96 N/A - N/A FV = good good good FV FV = FV N/A N/A N/A 23500 a 4.74
9110 - Luzulo-Fagetum beech forests DE ALP 2096 0.92 = 2096 8 8 8 estimate b 0.08 = 8 7 - 7.50 0.50 - 0.70 N/A - N/A FV = good good good FV FV = FV N/A noChange noChange 2200 b 1.48
9110 - Luzulo-Fagetum beech forests DE ATL 61285 91.59 = 61285 403.49 410.53 407.01 estimate b 98.21 + ≈ 124.48 - 124.48 49.11 - 49.11 233.41 - 233.41 U1 = good good poor U1 U1 + U1 = noChange genuine 45300 b 95.97
9110 - Luzulo-Fagetum beech forests DE CON 232983 32.60 = ≈ 6744.35 6958.44 6851.39 estimate b 42.52 + ≈ 6406.05 - 6611.59 239.80 - 445.34 N/A - N/A FV = good good good FV FV + FV N/A noChange method 199900 b 40.31
9110 - Luzulo-Fagetum beech forests PL CON 171200 23.95 = ≈ N/A N/A 920 estimate b 5.71 = ≈ 227 - 721 198 - 692 N/A - N/A U1 = good good good FV U1 = U1 + noChange knowledge 110100 b 22.20
9110 - Luzulo-Fagetum beech forests FR ALP 15300 6.73 = ≈ 291 291 N/A estimate c 2.80 = ≈ N/A - 291 N/A - 291 N/A - 291 XX x good good unk FV FV = FV N/A noChange noChange 9300 a 6.26
9110 - Luzulo-Fagetum beech forests BE CON 14100 1.97 = ≈ 454 477 465 interval a 2.89 = ≈ N/A - N/A N/A - N/A 454 - 477 U2 = good good bad U2 U2 = U2 - noChange knowledge 10900 a 2.20
9110 - Luzulo-Fagetum beech forests FR ATL 400 0.60 = x N/A N/A 1 estimate b 0.24 = x N/A - N/A N/A - N/A 1 - 1 XX = poor poor unk U1 U1 = U1 = noChange noChange 300 a 0.64
9110 - Luzulo-Fagetum beech forests FR CON 25000 3.50 = ≈ N/A N/A 3165 estimate c 19.64 = < 443 - 453 2712 - 2722 N/A - 10 U1 x good good poor U1 U1 = U1 = noChange noChange 21300 a 4.30
9110 - Luzulo-Fagetum beech forests HU PAN 4616 66.89 = ≈ 11 11 N/A estimate b 84.62 = ≈ 9 - 9 1 - 1 1 - 1 FV = good good good FV FV = FV N/A noChange knowledge 4700 b 64.38
9110 - Luzulo-Fagetum beech forests DK ATL 4827 7.21 = ≈ N/A N/A 1.50 estimate b 0.36 x ≈ N/A - N/A 1.50 - 1.50 N/A - N/A U2 - good good bad U2 U2 - U2 = N/A N/A 1400 b 2.97
9110 - Luzulo-Fagetum beech forests BG ALP 23100 10.16 = 23100 N/A N/A 64.34 estimate a 0.62 = 64.34 64.34 - 64.34 N/A - N/A N/A - N/A FV = poor poor poor U1 U1 + U1 = noChange method 11400 a 7.68
9110 - Luzulo-Fagetum beech forests BG CON 27400 3.83 = 27400 N/A N/A 14.08 estimate a 0.09 = 14.08 14.08 - 14.08 N/A - N/A N/A - N/A FV = poor poor poor U1 U1 + U1 = noChange knowledge 7700 a 1.55
9110 - Luzulo-Fagetum beech forests AT CON 22000 3.08 = > N/A N/A 493 interval a 3.06 + ≈ 447 - 447 46 - 46 N/A - N/A U1 + poor good poor U1 U1 + U2 = genuine genuine 10300 a 2.08
9110 - Luzulo-Fagetum beech forests LU CON 3200 0.45 = ≈ 53.63 74.56 N/A estimate b 0.40 = ≈ 53.35 - 53.35 0.26 - 0.26 20.93 - 20.93 FV = good good good FV FV = FV N/A noChange noChange 2200 a 0.44
9110 - Luzulo-Fagetum beech forests AT ALP 35500 15.62 = ≈ N/A N/A 1010 estimate a 9.72 + ≈ 839 - 839 171 - 171 N/A - N/A U1 + good good poor U1 U1 + U2 = genuine genuine 17700 a 11.92
9110 - Luzulo-Fagetum beech forests RO ALP 59900 26.36 = ≈ N/A N/A 6217 estimate a 59.86 = ≈ 5962 - 5962 255 - 255 N/A - N/A FV = good good good FV FV = FV N/A N/A N/A 37100 a 24.98
9110 - Luzulo-Fagetum beech forests SK PAN 2284.39 33.11 = ≈ N/A N/A 2 estimate b 15.38 = > 0.19 - 0.19 0.19 - 0.19 1.61 - 1.61 U1 u good poor poor U1 U1 = U1 = N/A N/A 2600 b 35.62
9110 - Luzulo-Fagetum beech forests SK ALP 29484.36 12.97 = ≈ N/A N/A 420 estimate b 4.04 + ≈ 10.56 - 10.56 4.99 - 4.99 404.45 - 404.45 FV u good good good FV FV = FV N/A N/A N/A 29800 b 20.07
9110 - Luzulo-Fagetum beech forests SI ALP 2690 1.18 = ≈ N/A N/A 201 estimate b 1.94 = ≈ 151 - 185 16 - 50 N/A - N/A U1 = good good poor U1 U1 = U1 + noChange genuine 2800 b 1.89
9110 - Luzulo-Fagetum beech forests SI CON 8314 1.16 = ≈ N/A N/A 710 estimate b 4.41 = ≈ 535 - 640 70 - 175 N/A - N/A U1 = good good poor U1 U1 = U1 + noChange genuine 9100 b 1.84
9110 - Luzulo-Fagetum beech forests HR ALP 1600 0.70 = ≈ N/A N/A 73.22 estimate a 0.70 = ≈ 73.22 - 73.22 N/A - N/A N/A - N/A FV = good good good FV FV = N/A N/A noChange noChange 1500 a 1.01
9110 - Luzulo-Fagetum beech forests HR CON 6300 0.88 = ≈ N/A N/A 136.50 estimate a 0.85 = ≈ 136.50 - 136.50 N/A - N/A N/A - N/A FV = good good good FV FV = N/A N/A noChange noChange 6000 a 1.21
9110 - Luzulo-Fagetum beech forests SE CON 18000 2.52 = 18000 50 50 50 estimate b 0.31 + 200 21 - 21 21 - 21 8 - 8 U2 x good bad bad U2 U2 = U2 x noChange noChange 10300 b 2.08
9110 - Luzulo-Fagetum beech forests SE BOR 37000 100 = 37000 20 20 20 estimate b 100 + 20 11 - 11 3 - 3 6 - 6 U1 x good good poor U1 U1 = U2 + knowledge noChange 15200 b 100
9110 - Luzulo-Fagetum beech forests IT ALP 42600 18.74 + ≈ 1590.69 2033.18 N/A estimate b 17.45 - > 227.47 - 227.47 28.20 - 28.20 0.68 - 0.68 U1 - good poor poor U1 U1 - U1 - noChange noChange 26600 b 17.91
9110 - Luzulo-Fagetum beech forests CZ CON 82500 11.54 = ≈ N/A N/A 1155 estimate a 7.17 - ≈ 769.01 - 769.01 107.58 - 107.58 278.40 - 278.40 U2 u good poor poor U1 U2 x U2 = noChange genuine 66400 a 13.39
9110 - Luzulo-Fagetum beech forests NL ATL 400 0.60 = ≈ N/A N/A 4.90 estimate a 1.18 = ≈ 0.70 - 3.60 1.30 - 4.20 N/A - N/A U1 x good good poor U1 U1 = U1 = noChange noChange 200 a 0.42
9120 - Atlantic acidophilous beech forests with Ilex and sometimes also Taxus in the schrublayer (Quercion robori-petraeae or Ilici-Fagenion) FR ALP 13000 53.94 = ≈ 100 1000 N/A estimate d 79.13 = ≈ 1 - 5 100 - 1000 100 - 1000 U1 u good good poor U1 U1 = U1 = noChange noChange 7100 a 70.30
9120 - Atlantic acidophilous beech forests with Ilex and sometimes also Taxus in the schrublayer (Quercion robori-petraeae or Ilici-Fagenion) ES MED 28600 63.84 = ≈ N/A N/A 432.46 estimate b 86.92 + > 307.17 - 307.17 84.07 - 84.07 33.84 - 41.22 U1 = unk good good FV U1 + U2 = method method 10600 b 64.24
9120 - Atlantic acidophilous beech forests with Ilex and sometimes also Taxus in the schrublayer (Quercion robori-petraeae or Ilici-Fagenion) BE CON 4100 4.75 = ≈ 55 63.30 59.10 interval a 0.60 = ≈ N/A - N/A N/A - N/A 55 - 63.30 U1 + good good poor U1 U1 + U1 = noChange genuine 2300 a 3.10
9120 - Atlantic acidophilous beech forests with Ilex and sometimes also Taxus in the schrublayer (Quercion robori-petraeae or Ilici-Fagenion) BE ATL 21100 8.79 = ≈ 228 268 241 estimate b 5.51 = >> 34 - 53 121 - 140 62 - 70 U2 = good poor poor U1 U2 = U2 + noChange genuine 18100 a 13.28
9120 - Atlantic acidophilous beech forests with Ilex and sometimes also Taxus in the schrublayer (Quercion robori-petraeae or Ilici-Fagenion) DK CON 7180 8.32 = ≈ N/A N/A 32.41 estimate b 0.33 x ≈ N/A - 2.40 30.01 - 32.41 N/A - N/A U2 u good good bad U2 U2 x U2 = N/A N/A 3400 b 4.58
9120 - Atlantic acidophilous beech forests with Ilex and sometimes also Taxus in the schrublayer (Quercion robori-petraeae or Ilici-Fagenion) FR CON 75000 86.93 = ≈ N/A N/A 9805 estimate c 99.08 u < 816 - 1760 8045 - 8989 N/A - 944 U2 u good good bad U2 U2 x FV N/A method noChange 68600 a 92.33
9120 - Atlantic acidophilous beech forests with Ilex and sometimes also Taxus in the schrublayer (Quercion robori-petraeae or Ilici-Fagenion) ES ATL 28100 11.71 = ≈ N/A N/A 1420 estimate b 32.45 = ≈ 329.37 - 430.43 145.53 - 145.53 844.05 - 945.10 U1 = good good unk FV U1 = U1 + noChange method 19000 b 13.94
9120 - Atlantic acidophilous beech forests with Ilex and sometimes also Taxus in the schrublayer (Quercion robori-petraeae or Ilici-Fagenion) DK ATL 2430 1.01 = ≈ N/A N/A 2.55 estimate b 0.06 x ≈ N/A - 0.13 2.42 - 2.55 N/A - N/A U2 u good good bad U2 U2 x U2 = N/A N/A 700 b 0.51
9120 - Atlantic acidophilous beech forests with Ilex and sometimes also Taxus in the schrublayer (Quercion robori-petraeae or Ilici-Fagenion) ES ALP 11100 46.06 = ≈ N/A N/A 145.07 estimate b 20.87 + ≈ 8.16 - 8.16 10.81 - 10.81 126.11 - 126.11 XX = good good unk FV FV + U1 + knowledge noChange 3000 b 29.70
9120 - Atlantic acidophilous beech forests with Ilex and sometimes also Taxus in the schrublayer (Quercion robori-petraeae or Ilici-Fagenion) FR ATL 134000 55.82 = ≈ 2300 2800 2500 estimate c 57.14 u ≈ 100 - 200 2300 - 2400 N/A - N/A U1 x good good poor U1 U1 x U1 + noChange noChange 69500 a 50.99
9120 - Atlantic acidophilous beech forests with Ilex and sometimes also Taxus in the schrublayer (Quercion robori-petraeae or Ilici-Fagenion) UK ATL 26267.72 10.94 = 26267.72 N/A N/A 81 estimate c 1.85 = 89.10 24.34 - 24.34 17.80 - 17.80 38.86 - 38.86 U2 = good poor bad U2 U2 = U2 = noChange noChange 8000 b 5.87
9120 - Atlantic acidophilous beech forests with Ilex and sometimes also Taxus in the schrublayer (Quercion robori-petraeae or Ilici-Fagenion) DE ATL 13346 5.56 = 13346 7.76 8.15 7.95 estimate b 0.18 = 7.95 4.70 - 5.47 0.89 - 1.65 1.59 - 1.59 U1 = good good poor U1 U1 = U1 = noChange noChange 9000 a 6.60
9120 - Atlantic acidophilous beech forests with Ilex and sometimes also Taxus in the schrublayer (Quercion robori-petraeae or Ilici-Fagenion) DE CON 2659 0 N/A N/ 2.45 2.50 2.48 estimate b 0 N N/ N/A - N/A N/A - N/A N/A - N/A N/A N/A N/A N/A N/A N/A N/A N N/A N/A noChange noChange N/A a 0
9120 - Atlantic acidophilous beech forests with Ilex and sometimes also Taxus in the schrublayer (Quercion robori-petraeae or Ilici-Fagenion) FR MED 15900 35.49 = x 25 64 N/A estimate c 8.94 = x 25 - 64 N/A - N/A N/A - N/A FV u good good poor U1 U1 = U1 = noChange knowledge 5600 a 33.94
9120 - Atlantic acidophilous beech forests with Ilex and sometimes also Taxus in the schrublayer (Quercion robori-petraeae or Ilici-Fagenion) NL ATL 14800 6.17 = ≈ N/A N/A 123 estimate b 2.81 = > 30 - 96 27 - 93 N/A - N/A U1 + good poor poor U1 U1 + U1 = noChange method 12000 a 8.80
9120 - Atlantic acidophilous beech forests with Ilex and sometimes also Taxus in the schrublayer (Quercion robori-petraeae or Ilici-Fagenion) IT MED 300 0.67 - ≈ 4.17 36.94 N/A estimate b 4.13 u > 0.53 - 0.53 N/A - N/A 0.81 - 0.81 XX u unk unk unk XX XX XX N/A noChange noChange 300 b 1.82
9130 - Asperulo-Fagetum beech forests SE BOR 36000 100 = 36000 10 10 10 estimate b 100 + 20 3 - 3 1 - 1 6 - 6 U1 x good bad poor U2 U2 = U2 + noChange noChange 13500 b 100
9130 - Asperulo-Fagetum beech forests CZ CON 81900 9.39 = ≈ N/A N/A 1090.89 estimate a 2.76 = ≈ 764.59 - 764.59 87.43 - 87.43 238.87 - 238.87 U1 u good poor poor U1 U1 = U1 = noChange noChange 62700 a 10.33
9130 - Asperulo-Fagetum beech forests BG CON 31700 3.63 = 31700 N/A N/A 673.73 estimate a 1.70 = 673.73 673.73 - 673.73 N/A - N/A N/A - N/A FV = poor poor poor U1 U1 + U1 = noChange method 15100 a 2.49
9130 - Asperulo-Fagetum beech forests GR MED 2744 100 = ≈ N/A N/A 767.70 estimate b 100 = ≈ 690.93 - 690.93 N/A - N/A 76.77 - 76.77 FV = good good good FV FV = FV N/A noChange noChange 10000 b 100
9130 - Asperulo-Fagetum beech forests FR ATL 134100 64.40 = ≈ 5100 5800 5450 estimate c 92.64 = ≈ 1350 - 2000 4100 - 5000 N/A - N/A U1 x good good poor U1 U1 = U1 = noChange noChange 86200 a 67.55
9130 - Asperulo-Fagetum beech forests IT CON 15800 1.81 + ≈ 78.89 282.16 N/A estimate b 0.46 + ≈ 196.83 - 196.83 32.83 - 32.83 0.34 - 0.34 U1 - good good poor U1 U1 = U1 - noChange knowledge 7200 b 1.19
9130 - Asperulo-Fagetum beech forests DK CON 26521 3.04 = ≈ N/A N/A 377.77 estimate b 0.95 x ≈ N/A - 0.66 377.12 - 377.78 N/A - N/A U2 - good good bad U2 U2 - U2 = N/A N/A 22200 b 3.66
9130 - Asperulo-Fagetum beech forests SK ALP 32530.71 14.91 = ≈ N/A N/A 4570 estimate b 29.90 + ≈ 22.17 - 22.17 21.04 - 21.04 4526.79 - 4526.79 U1 u good poor poor U1 U1 = FV N/A knowledge N/A 32700 b 22.74
9130 - Asperulo-Fagetum beech forests AT ALP 38100 17.46 = ≈ N/A N/A 3014 estimate a 19.72 = ≈ 2838 - 2838 176 - 176 N/A - N/A U1 + good good poor U1 U1 = U1 = noChange noChange 23200 a 16.13
9130 - Asperulo-Fagetum beech forests HR CON 5400 0.62 = ≈ N/A N/A 544.07 estimate a 1.38 = ≈ 544.07 - 544.07 N/A - N/A N/A - N/A FV = good good good FV FV = N/A N/A noChange noChange 5400 a 0.89
9130 - Asperulo-Fagetum beech forests BE CON 14000 1.60 = ≈ 317 336 326 interval a 0.82 = ≈ N/A - N/A N/A - N/A 317 - 336 U1 + good good poor U1 U1 + U1 + noChange noChange 9600 a 1.58
9130 - Asperulo-Fagetum beech forests IT ALP 36000 16.50 + ≈ 1067.87 1567.82 N/A estimate b 8.62 - > 206.28 - 206.28 58.73 - 58.73 9.86 - 9.86 U1 - good poor poor U1 U1 - U1 - noChange noChange 25200 b 17.52
9130 - Asperulo-Fagetum beech forests BE ATL 11400 5.47 = ≈ 93 106 99 estimate a 1.68 + >> 2.40 - 8.90 24.20 - 30.70 66 - 66 U2 = good poor bad U2 U2 + U2 - noChange genuine 9200 a 7.21
9130 - Asperulo-Fagetum beech forests PL CON 146500 16.79 = ≈ N/A N/A 1400 estimate b 3.54 = ≈ 441 - 1066 334 - 959 N/A - N/A U1 = good good good FV U1 = U1 + noChange knowledge 85100 b 14.02
9130 - Asperulo-Fagetum beech forests PL ALP 15000 6.87 = ≈ N/A N/A 1200 estimate b 7.85 = ≈ 563 - 1102 98 - 637 N/A - N/A U1 = good good good FV U1 = FV N/A knowledge noChange 10100 b 7.02
9130 - Asperulo-Fagetum beech forests HR ALP 300 0.14 = ≈ N/A N/A 12.59 estimate a 0.08 = ≈ 12.59 - 12.59 N/A - N/A N/A - N/A FV = good good good FV FV = N/A N/A noChange noChange 300 a 0.21
9130 - Asperulo-Fagetum beech forests HU PAN 14359 81.69 = ≈ 570 855 N/A estimate b 94.68 = ≈ 324 - 493 140 - 210 106 - 152 U1 u good good poor U1 U1 = FV N/A knowledge knowledge 15500 b 81.58
9130 - Asperulo-Fagetum beech forests SE CON 20000 2.29 = 20000 40 40 40 estimate b 0.10 + 200 16 - 16 14 - 14 10 - 10 U2 x good bad bad U2 U2 = U2 x noChange noChange 11500 b 1.90
9130 - Asperulo-Fagetum beech forests DE ALP 4101 1.88 = 4101 600 600 600 estimate c 3.93 + 600 330 - 570 30 - 60 10 - 200 FV = good good good FV FV + FV N/A noChange noChange 5100 b 3.55
9130 - Asperulo-Fagetum beech forests RO ALP 44200 20.25 = ≈ N/A N/A 921 estimate a 6.03 = ≈ 882 - 882 39 - 39 N/A - N/A FV = good good good FV FV = FV N/A N/A N/A 15300 a 10.64
9130 - Asperulo-Fagetum beech forests RO CON 98600 11.30 = ≈ N/A N/A 5175 estimate a 13.08 = ≈ 5175 - 5175 127 - 127 N/A - N/A FV = good good good FV FV = FV N/A N/A N/A 60900 a 10.04
9130 - Asperulo-Fagetum beech forests UK ATL 26508.69 12.73 = 26508.69 N/A N/A 123 estimate c 2.09 = 135.30 13.29 - 13.29 6.16 - 6.16 103.55 - 103.55 U2 = good poor bad U2 U2 = U2 = noChange noChange 8000 b 6.27
9130 - Asperulo-Fagetum beech forests FR CON 177100 20.30 = ≈ N/A N/A 22708 estimate c 57.40 = < 2626 - 3562 19146 - 20082 N/A - 936 FV u good good poor U1 U1 = U1 = noChange noChange 119500 a 19.69
9130 - Asperulo-Fagetum beech forests FR MED N/A 0 N/A N/ N/A N/A N/A N/A 0 N N/ N/A - N/A N/A - N/A N/A - N/A N/A N/A N/A N/A N/A N/A N/A N N/A N/A noChange noChange N/A a 0
9130 - Asperulo-Fagetum beech forests AT CON 25800 2.96 = ≈ N/A N/A 620 estimate a 1.57 + ≈ 585 - 585 35 - 35 N/A - N/A U1 + good good poor U1 U1 + U1 = noChange genuine 12000 a 1.98
9130 - Asperulo-Fagetum beech forests LU CON 3700 0.42 = ≈ 186.15 203.45 N/A estimate b 0.49 = ≈ 185.62 - 185.62 0.53 - 0.53 17.30 - 17.30 FV = good good good FV FV = FV N/A noChange noChange 2300 a 0.38
9130 - Asperulo-Fagetum beech forests BG ALP 25400 11.64 = 25400 N/A N/A 2004.62 estimate a 13.11 = 2004.62 2004.62 - 2004.62 N/A - N/A N/A - N/A FV = poor poor poor U1 U1 + U1 = noChange method 17000 a 11.82
9130 - Asperulo-Fagetum beech forests SK PAN 3218.16 18.31 = ≈ N/A N/A 40 estimate b 5.32 = ≈ 2.33 - 2.33 0.56 - 0.56 37.11 - 37.11 FV u good good good FV FV = FV N/A N/A N/A 3500 b 18.42
9130 - Asperulo-Fagetum beech forests FR ALP 15200 6.97 = x 1500 1500 N/A estimate c 9.81 = x N/A - N/A N/A - N/A N/A - 1500 U1 - good poor poor U1 U1 - U1 = noChange noChange 10000 a 6.95
9130 - Asperulo-Fagetum beech forests DK ATL 2433 1.17 = ≈ N/A N/A 2.42 estimate b 0.04 x ≈ N/A - N/A 2.42 - 2.42 N/A - N/A U2 - good good bad U2 U2 - U2 = N/A N/A 1100 b 0.86
9130 - Asperulo-Fagetum beech forests ES ALP 7400 3.39 = ≈ N/A N/A 145.66 estimate c 0.95 = ≈ 21.46 - 21.46 24.20 - 24.20 100 - 100 U1 = good good unk FV U1 = U1 + noChange knowledge 4900 b 3.41
9130 - Asperulo-Fagetum beech forests DE CON 225354 25.83 = ≈ 6152.08 6312.15 6232.11 estimate b 15.75 + ≈ 5867.53 - 6035.80 196.31 - 364.58 N/A - N/A FV + good good good FV FV + FV N/A noChange method 193300 b 31.86
9130 - Asperulo-Fagetum beech forests DE ATL 33791 16.23 = ≈ 204.69 212.78 208.74 estimate b 3.55 + 208.74 79.87 - 79.87 36.97 - 36.97 91.89 - 91.89 U1 = good good poor U1 U1 + U1 = noChange genuine 23100 b 18.10
9140 - Medio-European subalpine beech woods with Acer and Rumex arifolius CZ CON 4700 18.35 = ≈ N/A N/A 6.53 estimate a 13.45 = ≈ 3.70 - 3.70 0.37 - 0.37 2.46 - 2.46 XX u unk unk unk XX XX XX N/A noChange noChange 3800 a 29.46
9140 - Medio-European subalpine beech woods with Acer and Rumex arifolius SK ALP 10417.32 18.39 = ≈ N/A N/A 72 estimate b 18.76 + ≈ 6.91 - 6.91 0.88 - 0.88 64.21 - 64.21 FV u good good good FV FV = FV N/A N/A N/A 11300 b 29.27
9140 - Medio-European subalpine beech woods with Acer and Rumex arifolius FR ALP 11400 20.13 = ≈ 50 116 N/A estimate c 21.62 - x N/A - N/A N/A - N/A 50 - 116 XX x poor poor unk U1 U1 x FV N/A noChange noChange 6100 a 15.80
9140 - Medio-European subalpine beech woods with Acer and Rumex arifolius PL ALP 2800 4.94 = ≈ N/A N/A 0.46 estimate b 0.12 = ≈ 0.31 - 0.43 0.03 - 0.15 N/A - N/A FV = good good good FV FV = FV N/A noChange noChange 1500 b 3.89
9140 - Medio-European subalpine beech woods with Acer and Rumex arifolius DE ALP 3828 6.76 = 3828 9 9 9 estimate c 2.34 = 9 8 - 9 N/A - 0.80 N/A - 0.20 FV = good good good FV FV = FV N/A noChange noChange 4000 b 10.36
9140 - Medio-European subalpine beech woods with Acer and Rumex arifolius DE CON 3411 13.32 = 3411 2.77 2.81 2.79 interval a 5.74 = 2.79 1.88 - 2.30 0.49 - 0.91 N/A - N/A U1 - good good poor U1 U1 - U1 = noChange method 2800 b 21.71
9140 - Medio-European subalpine beech woods with Acer and Rumex arifolius IT ALP 9700 17.12 = ≈ 51.84 137.01 N/A estimate b 24.60 - > 13.59 - 13.59 N/A - N/A 21.80 - 21.80 U1 - good poor poor U1 U1 - U1 - noChange noChange 7000 b 18.13
9140 - Medio-European subalpine beech woods with Acer and Rumex arifolius AT ALP 18500 32.66 = ≈ 100 150 N/A estimate b 32.56 x ≈ 90 - 135 10 - 15 N/A - N/A U1 x good good poor U1 U1 x U1 = noChange noChange 8700 b 22.54
9140 - Medio-European subalpine beech woods with Acer and Rumex arifolius FR CON 17500 68.33 = ≈ 38.46 40 N/A estimate c 80.81 = > N/A - N/A N/A - N/A 38.46 - 40 XX u poor poor poor U1 U1 = U1 = noChange noChange 6300 a 48.84
9140 - Medio-European subalpine beech woods with Acer and Rumex arifolius FR MED N/A 0 N/A N/ N/A N/A N/A N/A 0 N N/ N/A - N/A N/A - N/A N/A - N/A N/A N/A N/A N/A N/A N/A N/A N N/A N/A noChange noChange N/A a 0
9140 - Medio-European subalpine beech woods with Acer and Rumex arifolius PL CON 600 0 = ≈ N/A N/A 0.07 interval c 0 x x N/A - N/A N/A - N/A 0.07 - 0.07 XX x unk unk unk XX XX U1 x noInfo noInfo N/A b 0
9140 - Medio-European subalpine beech woods with Acer and Rumex arifolius AT CON 100 0 x N/ N/A N/A 0.03 estimate a 0 N N/ N/A - N/A N/A - N/A N/A - N/A N/A N/A N/A N/A N/A N/A N/A N U1 x N/A N/A N/A b 0
9140 - Medio-European subalpine beech woods with Acer and Rumex arifolius GR MED 976 100 = ≈ N/A N/A 179.90 estimate b 100 = ≈ N/A - N/A 35.98 - 35.98 143.92 - 143.92 U1 + good good poor U1 U1 + FV N/A knowledge knowledge 7800 b 100
9150 - Medio-European limestone beech forests of the Cephalanthero-Fagion DE ATL 3101 12.55 = ≈ 0.44 0.44 0.44 estimate b 0.15 = ≈ 0.39 - 0.41 0.03 - 0.06 N/A - N/A FV x good good good FV FV = U1 = knowledge noChange 1700 b 13.39
9150 - Medio-European limestone beech forests of the Cephalanthero-Fagion IT ALP 16800 11.60 = ≈ 436.35 831.56 N/A estimate b 21.31 - >> 218.65 - 218.65 14.07 - 14.07 2.85 - 2.85 U1 - good poor poor U1 U2 - U1 - knowledge noChange 12600 b 14.63
9150 - Medio-European limestone beech forests of the Cephalanthero-Fagion IT MED 1900 0 x > N/A N/A 2.85 estimate b 0 x x N/A - N/A N/A - N/A 1.63 - 1.63 XX x unk unk unk XX U2 x N/A N/A knowledge knowledge N/A b 0
9150 - Medio-European limestone beech forests of the Cephalanthero-Fagion HU PAN 4674 90.88 = ≈ 18 21 N/A estimate b 82.98 = ≈ 12 - 13 4 - 6 2 - 2 U1 = good good poor U1 U1 = FV N/A knowledge noChange 4700 b 92.16
9150 - Medio-European limestone beech forests of the Cephalanthero-Fagion GR MED 990 1.56 = ≈ N/A N/A 296.40 estimate b 33.22 = ≈ N/A - N/A 59.28 - 59.28 237.12 - 237.12 U1 + good good poor U1 U1 + FV N/A knowledge knowledge 6400 b 18.03
9150 - Medio-European limestone beech forests of the Cephalanthero-Fagion SK PAN 469.25 9.12 = ≈ N/A N/A 4 estimate b 17.02 = ≈ 0.67 - 0.67 0.86 - 0.86 2.48 - 2.48 U1 u good poor poor U1 U1 = FV N/A knowledge N/A 400 b 7.84
9150 - Medio-European limestone beech forests of the Cephalanthero-Fagion BE ATL 2800 11.34 = ≈ 1.50 2.50 2 estimate b 0.66 = ≈ N/A - N/A N/A - N/A 1.50 - 2.50 U1 x good good poor U1 U1 x U1 x noChange noChange 1000 a 7.87
9150 - Medio-European limestone beech forests of the Cephalanthero-Fagion BE CON 7500 3.81 = ≈ 93 105 99 interval a 4.97 = ≈ N/A - N/A N/A - N/A 93 - 105 U1 = good good poor U1 U1 = U1 + noChange knowledge 5500 a 4.48
9150 - Medio-European limestone beech forests of the Cephalanthero-Fagion PL ALP 1300 0.90 = ≈ N/A N/A 6 estimate a 0.20 = ≈ 2.25 - 4.50 1.50 - 3.75 N/A - N/A U1 = good good good FV U1 = U1 + noChange knowledge 500 b 0.58
9150 - Medio-European limestone beech forests of the Cephalanthero-Fagion PL CON 8400 4.26 = ≈ N/A N/A 11.63 estimate b 0.58 = ≈ 4.60 - 10.42 1.21 - 7.03 N/A - N/A U1 = good good good FV U1 = U1 + noChange knowledge 5700 b 4.65
9150 - Medio-European limestone beech forests of the Cephalanthero-Fagion LU CON 600 0.30 = ≈ 0.16 0.34 N/A estimate b 0.01 = ≈ 0.16 - 0.33 N/A - N/A N/A - 0.17 FV = good good good FV FV = FV N/A noChange knowledge 300 a 0.24
9150 - Medio-European limestone beech forests of the Cephalanthero-Fagion SK ALP 18050.16 12.47 = ≈ N/A N/A 580 estimate b 19.49 + ≈ 13.24 - 13.24 3.52 - 3.52 563.24 - 563.24 FV u good good good FV FV = FV N/A N/A N/A 18200 b 21.14
9150 - Medio-European limestone beech forests of the Cephalanthero-Fagion BG ALP 22100 15.27 = 22100 N/A N/A 577.15 estimate a 19.40 = 577.15 577.15 - 577.15 N/A - N/A N/A - N/A FV = poor poor poor U1 U1 + U1 = noChange method 9000 a 10.45
9150 - Medio-European limestone beech forests of the Cephalanthero-Fagion BG BLS 100 100 = 100 N/A N/A 0.01 estimate a 100 = 0.01 0.01 - 0.01 N/A - N/A N/A - N/A FV = poor poor poor U1 U1 + U1 = noChange method 100 a 100
9150 - Medio-European limestone beech forests of the Cephalanthero-Fagion BG CON 41200 20.91 = 41200 N/A N/A 477.76 estimate a 23.97 = 477.76 477.76 - 477.76 N/A - N/A N/A - N/A FV = poor poor poor U1 U1 + U1 = noChange knowledge 19000 a 15.48
9150 - Medio-European limestone beech forests of the Cephalanthero-Fagion ES MED 34000 53.72 = ≈ N/A N/A 335.89 estimate c 37.64 u > 59.92 - 59.92 107.40 - 107.40 86.67 - 168.57 U2 = unk unk bad U2 U2 = U2 = noChange noChange 14600 b 41.13
9150 - Medio-European limestone beech forests of the Cephalanthero-Fagion ES ATL 12900 52.22 = ≈ N/A N/A 150.52 estimate b 49.68 = ≈ 55.44 - 55.44 10.54 - 22.50 72.57 - 84.53 U1 = unk good unk XX U1 = U1 = noChange noChange 6100 b 48.03
9150 - Medio-European limestone beech forests of the Cephalanthero-Fagion ES ALP 10600 7.32 x > N/A N/A 163.14 estimate b 5.48 x ≈ 7.23 - 7.23 9.58 - 9.58 146.33 - 146.33 XX x unk unk unk XX U1 x U1 = noChange noInfo 4200 b 4.88
9150 - Medio-European limestone beech forests of the Cephalanthero-Fagion AT ALP 28800 19.89 = ≈ N/A N/A 295 estimate a 9.91 - ≈ 245 - 245 50 - 50 N/A - N/A U1 - good poor poor U1 U1 - U1 = N/A N/A 15000 b 17.42
9150 - Medio-European limestone beech forests of the Cephalanthero-Fagion FR MED 28300 44.71 = x 260 260 N/A estimate c 29.14 = x 167 - 252 8 - 93 94 - 166 U1 x good good poor XX U1 = U1 = noChange noChange 14500 a 40.85
9150 - Medio-European limestone beech forests of the Cephalanthero-Fagion FR CON 35000 17.77 = ≈ N/A N/A 1047 estimate c 52.52 = < 16 - 139 908 - 1031 N/A - 123 U1 u poor good poor U1 U1 = U1 x noChange noChange 25500 a 20.78
9150 - Medio-European limestone beech forests of the Cephalanthero-Fagion FR ATL 5900 23.89 = ≈ 50 300 150 interval c 49.51 = ≈ 15 - 30 135 - 150 N/A - 150 U2 x poor good poor U1 U2 = U1 = knowledge noChange 3900 a 30.71
9150 - Medio-European limestone beech forests of the Cephalanthero-Fagion FR ALP 34000 23.49 = ≈ 100 1000 N/A estimate d 18.49 x ≈ 1 - 5 100 - 1000 100 - 1000 U2 - good unk bad U2 U2 x U1 = genuine noChange 18100 a 21.02
9150 - Medio-European limestone beech forests of the Cephalanthero-Fagion CZ CON 11700 5.94 = ≈ N/A N/A 9.79 estimate a 0.49 = ≈ 8.09 - 8.09 0.43 - 0.43 1.27 - 1.27 U1 = good poor poor U1 U1 = U1 = noChange noChange 6000 a 4.89
9150 - Medio-European limestone beech forests of the Cephalanthero-Fagion DK CON 2895 1.47 = ≈ N/A N/A 6.66 estimate b 0.33 x ≈ N/A - 0.37 6.29 - 6.66 N/A - N/A U2 - good unk bad U2 U2 - U2 = N/A N/A 1900 b 1.55
9150 - Medio-European limestone beech forests of the Cephalanthero-Fagion AT CON 12700 6.45 = ≈ 8 37 N/A estimate b 1.13 x x N/A - N/A N/A - N/A 8 - 37 XX x good unk unk XX XX U2 = noInfo noInfo 3300 b 2.69
9150 - Medio-European limestone beech forests of the Cephalanthero-Fagion RO CON 8900 4.52 = ≈ N/A N/A 183 estimate a 9.18 = ≈ 176 - 176 7 - 7 N/A - N/A FV = good good good FV FV = FV N/A N/A N/A 4000 a 3.26
9150 - Medio-European limestone beech forests of the Cephalanthero-Fagion RO ALP 9300 6.42 = ≈ N/A N/A 160 estimate a 5.38 = ≈ 144 - 144 16 - 16 N/A - N/A FV = good good good FV FV = FV N/A N/A N/A 4700 a 5.46
9150 - Medio-European limestone beech forests of the Cephalanthero-Fagion DE ALP 3819 2.64 = 3819 9.77 10.44 10.11 estimate b 0.34 = 10.11 8 - 9 0.40 - 0.80 0.30 - 1.70 FV = good good good FV FV = FV N/A noChange noChange 3800 b 4.41
9150 - Medio-European limestone beech forests of the Cephalanthero-Fagion DE CON 68119 34.58 = ≈ 135.73 136.16 135.94 estimate b 6.82 = ≈ 94.59 - 104.15 12.52 - 15.72 18.09 - 26.61 FV = good good good FV FV = FV N/A noChange noChange 51500 b 41.97
9160 - Sub-Atlantic and medio-European oak or oak-hornbeam forests of the Carpinion betuli LU CON 2800 0.57 = ≈ 22.54 24.78 N/A estimate b 0.41 - > 22.29 - 22.29 0.25 - 0.25 2.24 - 2.24 U1 - good poor poor U1 U1 - U1 - genuine genuine 2200 a 0.61
9160 - Sub-Atlantic and medio-European oak or oak-hornbeam forests of the Carpinion betuli NL ATL 5800 3.64 = ≈ N/A N/A 14 estimate b 1.67 = > 3.20 - 11.10 2.50 - 10.40 N/A - N/A U2 + poor bad bad U2 U2 + U2 - noChange method 4200 a 4.15
9160 - Sub-Atlantic and medio-European oak or oak-hornbeam forests of the Carpinion betuli LV BOR 60561 30.34 = x 20.02 51.87 N/A estimate b 11.85 - x 15.62 - 40.46 4.40 - 11.41 N/A - N/A U1 x good unk poor U1 U1 x U2 - knowledge knowledge 46700 b 38.79
9160 - Sub-Atlantic and medio-European oak or oak-hornbeam forests of the Carpinion betuli IT ALP 10500 64.42 + >> 50.18 68.07 N/A estimate b 50.47 - >> 8.21 - 8.21 0.11 - 0.11 0.84 - 0.84 U2 - poor bad bad U2 U2 - U2 - noChange noChange 5100 b 73.91
9160 - Sub-Atlantic and medio-European oak or oak-hornbeam forests of the Carpinion betuli UK ATL 26008.94 16.32 = 26008.94 N/A N/A 10 estimate c 1.20 = 10 3.30 - 3.30 0.06 - 0.06 6.64 - 6.64 FV = good good bad U2 U2 = U2 - noChange method 13100 b 12.93
9160 - Sub-Atlantic and medio-European oak or oak-hornbeam forests of the Carpinion betuli IT CON 21300 4.30 = ≈ 314.57 323.80 N/A estimate b 5.49 = ≈ 55.73 - 55.73 4.17 - 4.17 0.12 - 0.12 U1 - good good poor U1 U1 - XX N/A knowledge knowledge 13500 b 3.76
9160 - Sub-Atlantic and medio-European oak or oak-hornbeam forests of the Carpinion betuli BE ATL 12800 8.03 = ≈ 44 55 49 estimate a 5.86 + >> 2.70 - 9.70 22.90 - 29.90 14.60 - 19.20 U2 + good poor poor U1 U2 + U2 x noChange genuine 9700 a 9.58
9160 - Sub-Atlantic and medio-European oak or oak-hornbeam forests of the Carpinion betuli BE CON 14700 2.97 = ≈ 269 286 277 interval a 4.77 = ≈ N/A - N/A N/A - N/A 269 - 286 U1 = good good poor U1 U1 = U1 + noChange knowledge 12300 a 3.43
9160 - Sub-Atlantic and medio-European oak or oak-hornbeam forests of the Carpinion betuli IT MED 4300 67.19 + ≈ 12.31 55.63 N/A estimate b 81.90 u > 2.09 - 2.09 N/A - N/A 0.19 - 0.19 XX u unk unk unk XX XX XX N/A noChange noChange 2300 b 69.70
9160 - Sub-Atlantic and medio-European oak or oak-hornbeam forests of the Carpinion betuli LT BOR 26020.44 13.04 = 26020.44 N/A N/A 147.39 estimate a 48.59 - ≈ N/A - N/A N/A - N/A 147.39 - 147.39 U1 u good poor poor U1 U1 x U1 = knowledge knowledge 22100 a 18.36
9160 - Sub-Atlantic and medio-European oak or oak-hornbeam forests of the Carpinion betuli FR CON 126300 25.51 = ≈ N/A N/A 2941 estimate c 50.61 = < 354 - 536 2405 - 2577 N/A - 182 U1 x good good poor U1 U1 = U1 = noChange noChange 89000 a 24.80
9160 - Sub-Atlantic and medio-European oak or oak-hornbeam forests of the Carpinion betuli SE CON 21000 4.24 = 21000 30 30 30 estimate b 0.52 x 150 7 - 7 13 - 13 10 - 10 U2 x good bad bad U2 U2 x U2 x noChange noChange 12200 b 3.40
9160 - Sub-Atlantic and medio-European oak or oak-hornbeam forests of the Carpinion betuli SE BOR 113000 56.62 = 113000 120 120 120 estimate b 39.56 x 300 19 - 19 31 - 31 70 - 70 U2 x good bad bad U2 U2 x U2 + noChange noChange 51600 b 42.86
9160 - Sub-Atlantic and medio-European oak or oak-hornbeam forests of the Carpinion betuli FR ATL 30600 19.20 + ≈ 180 400 270 interval c 32.28 = ≈ 40 - 60 230 - 270 N/A - 270 U1 x good good poor U1 U1 = U1 = noChange noChange 22000 a 21.72
9160 - Sub-Atlantic and medio-European oak or oak-hornbeam forests of the Carpinion betuli AT ALP 3900 23.93 x > 25 35 N/A estimate b 25.61 x > 4.40 - 6.20 1.50 - 2 19.10 - 26.80 U2 x poor poor bad U2 U2 x U2 = noChange noInfo 700 b 10.14
9160 - Sub-Atlantic and medio-European oak or oak-hornbeam forests of the Carpinion betuli DE ATL 53839 33.77 = ≈ 390.13 408.48 399.31 estimate b 47.73 - > 281.31 - 335.77 63.53 - 117.99 N/A - N/A U1 = good poor unk U1 U1 - U1 - noChange noChange 37400 b 36.92
9160 - Sub-Atlantic and medio-European oak or oak-hornbeam forests of the Carpinion betuli DE CON 188842 38.14 = ≈ 275.27 284.75 280.01 estimate a 4.82 - > 166.05 - 175.57 46.67 - 49.72 55.91 - 66.57 U1 - good poor poor U1 U1 - U1 - noChange noChange 133800 b 37.28
9160 - Sub-Atlantic and medio-European oak or oak-hornbeam forests of the Carpinion betuli HR CON 24400 4.93 = ≈ N/A N/A 1325.27 estimate a 22.80 = ≈ 1325.27 - 1325.27 N/A - N/A N/A - N/A U1 = good good poor U2 U2 = N/A N/A N/A 24400 a 6.80
9160 - Sub-Atlantic and medio-European oak or oak-hornbeam forests of the Carpinion betuli AT CON 13300 2.69 x ≈ 62 88 N/A estimate b 1.29 x ≈ 36 - 51 26 - 37 N/A - N/A U2 x poor poor bad U2 U2 x U2 = noChange noInfo 4100 b 1.14
9160 - Sub-Atlantic and medio-European oak or oak-hornbeam forests of the Carpinion betuli PT MED 1800 28.13 = x N/A N/A N/A d 0 = > N/A - N/A N/A - N/A N/A - N/A U1 = good good poor U1 U1 = U1 x noChange knowledge 700 c 21.21
9160 - Sub-Atlantic and medio-European oak or oak-hornbeam forests of the Carpinion betuli PT ATL 2200 1.38 x x N/A N/A N/A d 0 + > N/A - N/A N/A - N/A N/A - N/A U1 + good good poor U1 U1 + U1 x noChange knowledge 800 c 0.79
9160 - Sub-Atlantic and medio-European oak or oak-hornbeam forests of the Carpinion betuli DK ATL 4661 2.92 = ≈ N/A N/A 9.90 estimate b 1.18 x ≈ N/A - N/A 9.90 - 9.90 N/A - N/A U2 - good good bad U2 U2 - U2 = N/A N/A 1900 b 1.88
9160 - Sub-Atlantic and medio-European oak or oak-hornbeam forests of the Carpinion betuli DK CON 25704 5.19 = ≈ N/A N/A 90.30 estimate b 1.55 x ≈ N/A - 1.52 88.78 - 90.30 N/A - N/A U2 - good good bad U2 U2 - U2 = N/A N/A 18000 b 5.02
9160 - Sub-Atlantic and medio-European oak or oak-hornbeam forests of the Carpinion betuli HR MED 300 4.69 = ≈ N/A N/A 7.51 estimate a 18.10 = ≈ 7.51 - 7.51 N/A - N/A N/A - N/A FV = good good good FV FV = N/A N/A noChange noChange 300 a 9.09
9160 - Sub-Atlantic and medio-European oak or oak-hornbeam forests of the Carpinion betuli ES ALP 1900 11.66 = ≈ N/A N/A 28.03 estimate a 23.92 u ≈ N/A - N/A 28.03 - 28.03 N/A - N/A U2 = good good good FV U2 = U2 x noChange knowledge 1100 c 15.94
9160 - Sub-Atlantic and medio-European oak or oak-hornbeam forests of the Carpinion betuli ES ATL 23500 14.74 - ≈ N/A N/A 84.30 estimate c 10.08 - > 6.02 - 33.29 6.78 - 6.78 44.23 - 71.50 XX - unk unk unk XX U1 - U2 x knowledge knowledge 12200 c 12.04
9160 - Sub-Atlantic and medio-European oak or oak-hornbeam forests of the Carpinion betuli PL CON 56800 11.47 = ≈ N/A N/A 450 estimate b 7.74 = ≈ 70.50 - 173.50 276.50 - 379.50 N/A - N/A U2 - good good poor U1 U2 - U1 + method method 49400 b 13.76
9170 - Galio-Carpinetum oak-hornbeam forests BG ALP 25900 27.94 = 25900 N/A N/A 1123.08 estimate a 59.99 = 1123.08 1123.08 - 1123.08 N/A - N/A N/A - N/A FV = poor poor poor U1 U1 + U1 = noChange method 15600 a 38.14
9170 - Galio-Carpinetum oak-hornbeam forests AT ALP 6300 6.80 = ≈ 78 92 N/A estimate b 4.54 = ≈ 50 - 59 28 - 33 N/A - N/A U2 x good good bad U2 U2 = U2 = noChange noChange 4800 b 11.74
9170 - Galio-Carpinetum oak-hornbeam forests RO CON 117300 17.07 = ≈ N/A N/A 9086 estimate a 56.13 = ≈ 8177 - 8177 909 - 909 N/A - N/A FV = good good good FV FV = FV N/A N/A N/A 83600 a 15.35
9170 - Galio-Carpinetum oak-hornbeam forests DK CON 225 0.03 = > N/A N/A 0.75 estimate b 0 x >> N/A - N/A 0.75 - 0.75 N/A - N/A U2 u unk bad bad U2 U2 x U2 = N/A N/A 300 b 0.06
9170 - Galio-Carpinetum oak-hornbeam forests FR CON 1000 0.15 = ≈ 170 300 240 estimate d 1.48 u x N/A - N/A N/A - N/A 170 - 300 XX x good poor poor U1 U1 x U1 = N/A noChange 2700 a 0.50
9170 - Galio-Carpinetum oak-hornbeam forests PL CON 283200 41.22 = ≈ N/A N/A 2950 estimate b 18.23 = ≈ 559.50 - 1864.90 1085.10 - 2390.50 N/A - N/A U2 = good good poor U1 U2 = U1 + knowledge knowledge 240100 b 44.08
9170 - Galio-Carpinetum oak-hornbeam forests PL ALP 10900 11.76 = ≈ N/A N/A 15 estimate b 0.80 = ≈ 1 - 2 13 - 14 N/A - N/A U2 = good good poor U1 U2 = U1 + knowledge knowledge 5700 b 13.94
9170 - Galio-Carpinetum oak-hornbeam forests CZ PAN 3900 100 = ≈ N/A N/A 6.99 estimate a 100 = ≈ 4.32 - 4.32 1.12 - 1.12 1.55 - 1.55 U1 = good poor poor U1 U1 = U2 = knowledge noChange 1400 a 100
9170 - Galio-Carpinetum oak-hornbeam forests CZ CON 76600 11.15 = ≈ N/A N/A 1314.63 estimate a 8.12 = ≈ 916.72 - 916.72 166.70 - 166.70 231.20 - 231.20 U1 = good poor poor U1 U1 = U1 = noChange noChange 65200 a 11.97
9170 - Galio-Carpinetum oak-hornbeam forests RO ALP 49100 52.97 = ≈ N/A N/A 642 estimate a 34.29 = ≈ 622 - 622 20 - 20 N/A - N/A FV = good good good FV FV = FV N/A N/A N/A 14300 a 34.96
9170 - Galio-Carpinetum oak-hornbeam forests AT CON 15100 2.20 = > 100 150 N/A estimate b 0.77 u ≈ N/A - N/A N/A - N/A 100 - 150 XX x poor good unk U1 U1 x U1 = noChange noInfo 11400 b 2.09
9170 - Galio-Carpinetum oak-hornbeam forests IT ALP 100 0.11 = >> 0.04 0.08 N/A estimate b 0 - >> N/A - N/A N/A - N/A 0.04 - 0.04 U2 = bad bad bad U2 U2 - U2 x noChange knowledge 100 b 0.24
9170 - Galio-Carpinetum oak-hornbeam forests BG CON 50100 7.29 = 50100 N/A N/A 1824.39 estimate a 11.27 = 1824.39 1824.38 - 1824.38 0.01 - 0.01 N/A - N/A FV = good good good FV FV + U1 = method method 32000 a 5.87
9170 - Galio-Carpinetum oak-hornbeam forests BG BLS 500 100 = 500 N/A N/A 0.57 estimate a 100 = 0.57 0.57 - 0.57 N/A - N/A N/A - N/A FV = poor poor poor U1 U1 + FV N/A method method 300 a 100
9170 - Galio-Carpinetum oak-hornbeam forests SK ALP 400 0.43 - > N/A N/A 7 estimate b 0.37 - > 0.18 - 0.18 1.16 - 1.16 5.67 - 5.67 U2 u poor poor poor U1 U2 - U2 - N/A N/A 400 b 0.98
9170 - Galio-Carpinetum oak-hornbeam forests DE CON 143455 20.88 = > 628.73 661.79 645.26 estimate b 3.99 - > 498.15 - 544.42 79.24 - 95.65 40.22 - 72.43 U1 - poor poor poor U1 U1 - U1 - noChange noChange 109400 a 20.08
9170 - Galio-Carpinetum oak-hornbeam forests DE ATL 3653 100 = ≈ 9.15 9.82 9.48 estimate b 100 - x 3.51 - 3.51 4.84 - 4.84 1.12 - 1.12 U2 x good poor bad U2 U2 - U2 = noChange genuine 2600 a 100
9180 - Tilio-Acerion forest of slopes, screes and ravines SI CON 3215 0.58 = ≈ N/A N/A 8.70 estimate c 0.94 - ≈ N/A - N/A N/A - N/A 8.70 - 8.70 U1 - good poor poor U1 U1 - U1 - noChange noChange 3300 b 1.03
9180 - Tilio-Acerion forest of slopes, screes and ravines AT ALP 36100 15.81 = ≈ N/A N/A 223 estimate a 21.55 - ≈ 223 - 223 N/A - N/A N/A - N/A U1 - good poor unk U1 U1 - U1 = noChange genuine 27600 b 20.41
9180 - Tilio-Acerion forest of slopes, screes and ravines AT CON 18100 3.27 = ≈ 18 36 N/A interval a 2.92 - > 14.70 - 16.40 2.80 - 3.10 N/A - N/A U1 x good poor poor U1 U1 x U1 = noChange noInfo 12400 b 3.88
9180 - Tilio-Acerion forest of slopes, screes and ravines LT BOR 64787 27.20 = 64787 N/A N/A 85.71 estimate a 49.97 = ≈ N/A - N/A N/A - N/A 85.70 - 85.70 XX u good good unk FV FV = FV N/A knowledge knowledge 30800 a 25.02
9180 - Tilio-Acerion forest of slopes, screes and ravines IT MED 33400 34.84 = > 37.59 227.09 N/A estimate b 46.25 u > 90.79 - 90.79 0.09 - 0.09 2.71 - 2.71 FV u unk unk unk XX U1 x U1 - noChange noChange 12400 b 25.89
9180 - Tilio-Acerion forest of slopes, screes and ravines IT CON 32100 5.80 = ≈ 52.02 54.21 N/A estimate b 5.74 = > 17.60 - 17.60 0.35 - 0.35 0.07 - 0.07 U1 u unk unk unk XX U1 = U1 - noChange noChange 11300 b 3.54
9180 - Tilio-Acerion forest of slopes, screes and ravines IT ALP 45500 19.93 = > 318.40 351.35 N/A estimate b 32.36 + > 85.57 - 85.57 13.78 - 13.78 0.91 - 0.91 U1 = poor poor poor U1 U1 = U2 - knowledge knowledge 27700 b 20.49
9180 - Tilio-Acerion forest of slopes, screes and ravines UK ATL 171436.64 62.83 = 171436.64 N/A N/A 238.76 estimate b 77.47 = 262.64 12.60 - 12.60 29.74 - 29.74 196.42 - 196.42 U2 = good poor bad U2 U2 = U2 - noChange genuine 107900 a 72.81
9180 - Tilio-Acerion forest of slopes, screes and ravines LV BOR 61679 25.90 = x 56.05 65 N/A estimate b 35.28 x x 51.57 - 59.80 4.48 - 5.20 N/A - N/A U1 x good good poor U1 U1 x U2 x knowledge knowledge 47000 b 38.18
9180 - Tilio-Acerion forest of slopes, screes and ravines ES ALP 12500 5.47 x ≈ N/A N/A 36.40 estimate b 3.52 x ≈ 0.01 - 0.01 N/A - N/A 36.38 - 36.38 XX x unk unk unk XX XX FV N/A noInfo noChange 4300 b 3.18
9180 - Tilio-Acerion forest of slopes, screes and ravines ES ATL 24600 9.02 = ≈ N/A N/A 14.29 estimate b 4.64 = ≈ 5.46 - 5.90 1.83 - 2.71 6.12 - 7 U1 x unk poor unk XX U1 = N/A N/A knowledge knowledge 10500 b 7.09
9180 - Tilio-Acerion forest of slopes, screes and ravines ES MED 38100 39.74 = ≈ N/A N/A 30.71 estimate b 10.73 = ≈ 10.40 - 10.40 6.04 - 6.48 13.76 - 14.26 U1 = good good poor U1 U1 = XX N/A knowledge noChange 14800 b 30.90
9180 - Tilio-Acerion forest of slopes, screes and ravines BG CON 47600 8.60 = 47600 N/A N/A 18.73 estimate a 2.03 = 18.73 18.73 - 18.73 N/A - N/A N/A - N/A FV u poor poor poor U1 U1 = U1 = noChange noChange 17900 a 5.60
9180 - Tilio-Acerion forest of slopes, screes and ravines BG BLS 2300 100 u 2300 N/A N/A 0.03 estimate a 100 u 0.03 0.03 - 0.03 N/A - N/A N/A - N/A FV = poor poor poor U1 U1 x U1 = noChange method 900 a 100
9180 - Tilio-Acerion forest of slopes, screes and ravines BG ALP 24100 10.55 = 24100 N/A N/A 54.38 estimate a 5.25 = 54.38 54.38 - 54.38 N/A - N/A N/A - N/A FV = poor poor poor U1 U1 + U1 = noChange method 9500 a 7.03
9180 - Tilio-Acerion forest of slopes, screes and ravines HU PAN 10372 66.27 = ≈ 39 45 N/A estimate b 79.13 = ≈ 29 - 34 4 - 5 6 - 6 U1 = good good poor U1 U1 = U1 = noChange noChange 10500 b 78.36
9180 - Tilio-Acerion forest of slopes, screes and ravines HR CON 1000 0.18 = ≈ N/A N/A 4.78 estimate b 0.52 = x 4.80 - 4.80 N/A - N/A N/A - N/A U2 = good poor bad U2 U2 - N/A N/A noChange noChange 1000 a 0.31
9180 - Tilio-Acerion forest of slopes, screes and ravines PL CON 21000 3.79 = ≈ N/A N/A 13 estimate b 1.41 = ≈ 7 - 12.30 0.70 - 6 N/A - N/A FV = good good good FV FV = FV N/A noChange noChange 10100 b 3.16
9180 - Tilio-Acerion forest of slopes, screes and ravines PL ALP 12900 5.65 = ≈ 7.10 7.77 7.43 estimate b 0.72 = ≈ 6.10 - 7 0.40 - 1.30 N/A - N/A FV = good good good FV FV = FV N/A noChange noChange 5600 b 4.14
9180 - Tilio-Acerion forest of slopes, screes and ravines LU CON 2600 0.47 = ≈ 1.49 2.12 N/A estimate b 0.20 = > 1.47 - 1.48 N/A - 0.01 0.63 - 0.63 FV = good poor good U1 U1 = U1 + noChange method 1400 a 0.44
9180 - Tilio-Acerion forest of slopes, screes and ravines BE CON 12900 2.33 = ≈ 12.60 16.80 14.70 interval a 1.59 = > N/A - N/A N/A - N/A 12.60 - 16.80 U2 = good poor bad U2 U2 = U1 x method knowledge 9000 a 2.82
9180 - Tilio-Acerion forest of slopes, screes and ravines DE ATL 2850 0 N/A N/ 0.03 0.03 0.03 estimate a 0 N N/ N/A - N/A N/A - N/A N/A - N/A N/A N/A N/A N/A N/A N/A N/A N N/A N/A noChange noChange N/A b 0
9180 - Tilio-Acerion forest of slopes, screes and ravines DE ALP 3988 1.75 = 3988 12 12 12 estimate c 1.16 = 12 6.50 - 10 0.50 - 1.40 1.60 - 3 FV = good good good FV FV = FV N/A noChange noChange 4400 b 3.25
9180 - Tilio-Acerion forest of slopes, screes and ravines FI BOR 9800 4.11 = ≈ N/A N/A 0.30 estimate b 0.17 = > 0.11 - N/A N/A - N/A 0.19 - 0.30 U1 = good poor poor U1 U1 = U1 = noChange noChange 3400 b 2.76
9180 - Tilio-Acerion forest of slopes, screes and ravines BE ATL 2400 0.88 = ≈ 0.10 0.16 0.13 estimate b 0.04 = ≈ N/A - N/A N/A - N/A 0.10 - 0.16 U2 x good good bad U2 U2 x U1 x method noChange 800 a 0.54
9180 - Tilio-Acerion forest of slopes, screes and ravines DE CON 172843 31.22 = ≈ 222.15 224.89 223.52 estimate b 24.16 = ≈ 130.80 - 242.92 25.66 - 47.65 N/A - N/A FV + good good good FV FV + FV N/A noChange genuine 135700 b 42.47
9180 - Tilio-Acerion forest of slopes, screes and ravines RO ALP 37100 16.25 = ≈ N/A N/A 36.70 estimate b 3.55 = ≈ N/A - N/A N/A - N/A N/A - 36.70 XX x good good unk FV FV = FV N/A N/A N/A 14900 a 11.02
9180 - Tilio-Acerion forest of slopes, screes and ravines RO CON 38000 6.86 = ≈ N/A N/A 31.50 estimate b 3.41 = ≈ N/A - N/A N/A - N/A N/A - 31.50 XX x good good unk FV FV = FV N/A N/A N/A 13800 a 4.32
9180 - Tilio-Acerion forest of slopes, screes and ravines CZ PAN 3200 20.44 = ≈ N/A N/A 2.08 estimate a 3.91 = ≈ 1.54 - 1.54 0.30 - 0.30 0.23 - 0.23 U1 = good good good FV U1 = U2 + knowledge method 600 a 4.48
9180 - Tilio-Acerion forest of slopes, screes and ravines CZ CON 79000 14.27 = ≈ N/A N/A 176.72 estimate a 19.11 = ≈ 113.66 - 113.66 9.33 - 9.33 53.74 - 53.74 U1 = good good good FV U1 = U1 = noChange noChange 58800 a 18.40
9180 - Tilio-Acerion forest of slopes, screes and ravines SK ALP 27148.01 11.89 = ≈ N/A N/A 270 estimate b 26.09 + ≈ 9.52 - 9.52 1.32 - 1.32 259.16 - 259.16 FV u good good good FV FV = U1 = knowledge N/A 27700 b 20.49
9180 - Tilio-Acerion forest of slopes, screes and ravines SK PAN 2080.04 13.29 = ≈ N/A N/A 9 estimate b 16.96 = ≈ 0.71 - 0.71 0.29 - 0.29 8 - 8 FV u good good good FV FV = U1 = knowledge N/A 2300 b 17.16
9180 - Tilio-Acerion forest of slopes, screes and ravines GR MED 569 0.59 = ≈ N/A N/A 115.60 estimate b 40.40 = ≈ 104.04 - 104.04 N/A - N/A 11.56 - 11.56 FV = good good good FV FV = FV N/A noChange noChange 12700 b 26.51
9180 - Tilio-Acerion forest of slopes, screes and ravines HR ALP 100 0.04 = ≈ N/A N/A 0.75 interval b 0.07 = > 0.75 - 0.75 N/A - N/A N/A - N/A U1 = good poor poor U1 U1 = N/A N/A N/A 100 a 0.07
9180 - Tilio-Acerion forest of slopes, screes and ravines SE BOR 97000 40.73 = 97000 20 20 20 estimate b 11.66 x 30 7 - 7 6 - 6 7 - 7 U2 x good bad bad U2 U2 x U2 x noChange noChange 38600 b 31.36
9180 - Tilio-Acerion forest of slopes, screes and ravines SE CON 19000 3.43 = 19000 1.40 1.40 1.40 estimate b 0.15 x 20 0.40 - 0.40 0.80 - 0.80 0.20 - 0.20 U2 x good bad bad U2 U2 x U2 x noChange noChange 9700 b 3.04
9180 - Tilio-Acerion forest of slopes, screes and ravines FR ALP 26700 11.69 = ≈ 10 100 N/A estimate d 5.31 u ≈ 1 - 90 10 - 90 50 - 100 U1 - good unk unk XX U1 x FV N/A noChange noChange 10900 a 8.06
9180 - Tilio-Acerion forest of slopes, screes and ravines FR ATL 74400 27.27 = ≈ 10 100 N/A estimate d 17.85 x > N/A - 5 5 - 100 10 - 100 U2 x good poor bad U2 U2 x U2 x noChange noChange 29000 a 19.57
9180 - Tilio-Acerion forest of slopes, screes and ravines FR CON 106300 19.20 = ≈ 250 450 350 estimate c 37.84 = ≈ 3 - 441 9 - 9 250 - 450 FV = unk unk unk XX FV = U1 = noChange noChange 35100 a 10.99
9180 - Tilio-Acerion forest of slopes, screes and ravines FR MED 23800 24.83 = x 6 9 N/A estimate c 2.62 - x 6 - 9 N/A - N/A N/A - N/A FV u good poor good U1 U2 - U1 x method knowledge 8000 a 16.70
9180 - Tilio-Acerion forest of slopes, screes and ravines SI ALP 2197 0.96 = ≈ N/A N/A 4.40 estimate c 0.43 - ≈ N/A - N/A N/A - N/A 4.40 - 4.40 U1 = good poor poor U1 U1 - U1 - noChange noChange 2500 b 1.85
9180 - Tilio-Acerion forest of slopes, screes and ravines EE BOR 4900 2.06 = ≈ N/A N/A 5 estimate a 2.91 = ≈ 4.80 - 4.80 N/A - N/A 0.20 - 0.20 FV = good good good FV FV = FV N/A noChange noChange 3300 a 2.68
9190 - Old acidophilous oak woods with Quercus robur on sandy plains BE ATL 12100 7.36 = ≈ 39 51.40 43.20 estimate b 10.23 = >> 1 - 6.80 31.60 - 37.40 4.30 - 6.80 U2 u good good poor U1 U2 x U2 = noChange method 7400 a 6.50
9190 - Old acidophilous oak woods with Quercus robur on sandy plains UK ATL 31651.01 19.24 = 31651.01 N/A N/A 45 estimate c 10.66 = 45 7.30 - 7.30 13.70 - 13.70 24 - 24 U2 = good good bad U2 U2 = U2 = noChange noChange 13500 b 11.86
9190 - Old acidophilous oak woods with Quercus robur on sandy plains SK PAN 964.12 100 = > N/A N/A 3.32 estimate b 100 - ≈ 0.40 - 0.40 0.76 - 0.76 2.84 - 2.84 U1 u good poor poor U1 U2 x U1 = genuine genuine 1500 b 100
9190 - Old acidophilous oak woods with Quercus robur on sandy plains BE CON 13200 3.62 = ≈ 55 65 60 interval a 4.41 + >> N/A - N/A N/A - N/A 55 - 65 U2 - good poor bad U2 U2 + U2 + noChange noChange 8000 a 3.14
9190 - Old acidophilous oak woods with Quercus robur on sandy plains SE CON 19000 5.21 = 19000 20 20 20 estimate b 1.47 x 20 7 - 7 6 - 6 6 - 6 U2 x good unk bad U2 U2 x U2 x noChange noChange 8900 b 3.50
9190 - Old acidophilous oak woods with Quercus robur on sandy plains SE BOR 80000 93.52 = 80000 40 40 40 estimate b 92.44 x 40 16 - 16 8 - 8 16 - 16 U1 x good unk poor U1 U1 x U2 x knowledge noChange 31600 b 87.05
9190 - Old acidophilous oak woods with Quercus robur on sandy plains CZ CON 53700 14.73 = ≈ N/A N/A 70.57 estimate a 5.18 - ≈ 41.54 - 41.54 13.27 - 13.27 15.76 - 15.76 U2 - poor poor poor U1 U2 - U2 - noChange noChange 31600 a 12.41
9190 - Old acidophilous oak woods with Quercus robur on sandy plains DE ATL 55927 34.01 = ≈ 182.47 195.09 188.78 estimate b 44.72 = > 73.75 - 126.84 59.87 - 111.20 2.06 - 3.83 U2 x good poor bad U2 U2 = U2 = noChange noChange 45200 b 39.72
9190 - Old acidophilous oak woods with Quercus robur on sandy plains DE CON 68628 18.82 + 68628 144.12 152.75 148.44 estimate a 10.90 - > 55.84 - 63.60 56.15 - 64.98 15.60 - 18.38 U2 - poor poor bad U2 U2 - U2 - noChange noChange 51300 b 20.15
9190 - Old acidophilous oak woods with Quercus robur on sandy plains DK ATL 11186 6.80 = ≈ N/A N/A 13.34 estimate b 3.16 x ≈ N/A - N/A 13.34 - 13.34 N/A - N/A U2 - good good bad U2 U2 - U2 = N/A N/A 4300 b 3.78
9190 - Old acidophilous oak woods with Quercus robur on sandy plains DK CON 13864 3.80 = ≈ N/A N/A 30.57 estimate b 2.25 x ≈ N/A - N/A 30.57 - 30.57 N/A - N/A U2 - good good bad U2 U2 - U2 = N/A N/A 7300 b 2.87
9190 - Old acidophilous oak woods with Quercus robur on sandy plains PL CON 171800 47.12 = ≈ N/A N/A 660 estimate b 48.48 = ≈ 46.20 - 217.80 442.20 - 613.80 N/A - N/A U2 - good good poor U1 U2 - U2 = noChange knowledge 128400 b 50.43
9190 - Old acidophilous oak woods with Quercus robur on sandy plains NL ATL 7700 4.68 = ≈ N/A N/A 29 estimate b 6.87 = > 1.40 - 20.60 8.40 - 27.60 N/A - N/A U2 - poor poor bad U2 U2 - U1 - knowledge noChange 6400 a 5.62
9190 - Old acidophilous oak woods with Quercus robur on sandy plains FI BOR 4200 4.91 = ≈ N/A N/A 0.57 estimate b 1.32 = > 0.13 - 0.52 0.05 - 0.44 N/A - N/A U1 = good poor poor U1 U1 = U1 - noChange method 2000 b 5.51
9190 - Old acidophilous oak woods with Quercus robur on sandy plains FR ATL 45900 27.91 = 36218 52.60 153 N/A estimate b 24.35 = x 49.10 - 141 2.60 - 7.70 1.50 - 6.30 U2 x good unk unk XX U2 = U1 x noChange noChange 37000 a 32.51
9190 - Old acidophilous oak woods with Quercus robur on sandy plains FR CON 22000 6.03 = ≈ 252 451 352 estimate d 25.86 x > 158 - 357 94 - 375 N/A - 451 U2 x bad bad bad U2 U2 x U1 = knowledge knowledge 17300 a 6.79
9190 - Old acidophilous oak woods with Quercus robur on sandy plains LT BOR 1341.94 1.57 = ≈ N/A N/A 2.70 estimate a 6.24 - > N/A - N/A N/A - N/A 2.70 - 2.70 U2 - good bad bad U2 U2 - U1 = knowledge knowledge 2700 a 7.44
9190 - Old acidophilous oak woods with Quercus robur on sandy plains IT CON 2400 0.66 - >> 17.45 22.06 N/A estimate b 1.45 - >> 2.36 - 2.36 3.60 - 3.60 0.02 - 0.02 U2 - bad bad bad U2 U2 - U2 - noChange noChange 1800 b 0.71
91A0 - Old sessile oak woods with Ilex and Blechnum in the British Isles UK ATL 151759.57 78.85 = 151759.57 N/A N/A 915.91 estimate b 93.75 = 1007.50 64.05 - 64.06 227.88 - 227.88 624.34 - 624.34 U2 x good poor bad U2 U2 = U2 - noChange noInfo 110400 b 81.72
91A0 - Old sessile oak woods with Ilex and Blechnum in the British Isles FR ATL 400 0.21 = ≈ N/A N/A 1 minimum c 0.10 = ≈ 1 - 1 N/A - N/A N/A - N/A FV = good good good XX XX x XX N/A N/A noChange 500 b 0.37
91A0 - Old sessile oak woods with Ilex and Blechnum in the British Isles IE ATL 40300 20.94 = ≈ 60.08 N/A N/A minimum a 6.15 - 399 41.94 - 41.94 18.14 - 18.14 N/A - N/A U2 = good bad bad U2 U2 - U2 + noChange knowledge 24200 a 17.91
91AA - Eastern white oak woods IT MED 140300 100 = > 914.03 6367.65 N/A estimate b 100 u > 478.61 - 478.61 81.47 - 81.47 61.59 - 61.59 U2 u poor poor poor U1 U2 = U2 x noChange noChange 96100 b 100
91AA - Eastern white oak woods BG BLS 4300 100 = 4300 N/A N/A 17.64 estimate a 100 = 17.64 17.64 - 17.64 N/A - N/A N/A - N/A FV = poor poor poor U1 U1 + U1 = noChange method 1700 a 100
91AA - Eastern white oak woods BG CON 38300 46.42 = 38300 N/A N/A 736.49 estimate a 32.59 = 736.49 736.46 - 736.46 0.04 - 0.04 N/A - N/A FV = poor poor poor U1 U1 + U1 = noChange method 28100 a 48.53
91AA - Eastern white oak woods RO CON 2800 3.39 + ≈ N/A N/A 6.30 estimate c 0.28 = ≈ 4.80 - 4.80 1.50 - 1.50 N/A - N/A XX x good good poor U1 U1 = U2 = N/A N/A 1600 a 2.76
91AA - Eastern white oak woods RO STE 10800 100 = ≈ N/A N/A 245 estimate a 100 = > N/A - N/A N/A - N/A N/A - 245 U1 x good good poor U1 U1 = U1 = N/A N/A 5700 a 100
91AA - Eastern white oak woods BG ALP 10600 62.72 = 10600 N/A N/A 9.27 estimate a 9.80 = 9.27 9.27 - 9.27 N/A - N/A N/A - N/A FV = poor poor poor U1 U1 + U1 = noChange method 3000 a 55.56
91AA - Eastern white oak woods IT ALP 6300 37.28 - ≈ 36.71 134.03 N/A estimate b 90.20 - > 36.71 - 36.71 N/A - N/A N/A - N/A FV = poor poor good U1 U1 - XX N/A knowledge knowledge 2400 b 44.44
91AA - Eastern white oak woods IT CON 41400 50.18 = ≈ 466.72 2567.80 N/A estimate b 67.13 - >> 80.43 - 80.43 16.24 - 16.24 0 - 0 U2 - good bad bad U2 U2 - U2 x noChange knowledge 28200 b 48.70
91B0 - Thermophilous Fraxinus angustifolia woods IT CON 2000 100 = >> 0.08 1.14 N/A estimate b 100 - >> N/A - N/A 0.01 - 0.01 0 - 0 U2 - bad bad bad U2 U2 - U2 x noChange knowledge 600 b 100
91B0 - Thermophilous Fraxinus angustifolia woods PT MED 27200 13.47 = x N/A N/A N/A d 0 + > N/A - N/A N/A - N/A N/A - N/A U2 + good good bad U2 U2 - U1 = knowledge knowledge 13500 c 12.36
91B0 - Thermophilous Fraxinus angustifolia woods FR MED 1800 0.89 = > 0.10 0.20 N/A estimate c 0.05 = > N/A - N/A N/A - N/A 0.10 - 0.20 XX u unk bad bad U2 U2 = U2 - N/A noChange 900 b 0.82
91B0 - Thermophilous Fraxinus angustifolia woods IT MED 10800 5.35 + > 4.94 6.55 N/A estimate b 1.73 u >> 3.30 - 3.30 0.02 - 0.02 0.05 - 0.05 U2 u unk unk unk XX U2 = U2 x noChange noChange 4900 b 4.49
91B0 - Thermophilous Fraxinus angustifolia woods ES MED 162100 80.29 x ≈ N/A N/A 326.60 estimate b 98.23 - ≈ 35.31 - 35.31 49.33 - 49.33 241.96 - 241.96 U1 u unk unk unk XX U1 x U1 = noChange noInfo 89900 b 82.33
91BA - Moesian silver fir forests GR MED 35 100 = ≈ N/A N/A 1.20 estimate b 100 = ≈ 1.08 - 1.08 N/A - N/A 0.12 - 0.12 FV x good good good FV FV = FV N/A noChange noChange 200 b 100
91BA - Moesian silver fir forests BG ALP 14300 100 = 14300 N/A N/A 238.09 estimate a 100 = 238.09 238.09 - 238.09 N/A - N/A N/A - N/A FV = poor poor poor U1 U1 + U1 = noChange method 10000 a 100
91BA - Moesian silver fir forests BG CON 8200 100 = 8200 N/A N/A 6 estimate a 100 = 6 6.35 - 6.35 N/A - N/A N/A - N/A FV = poor poor poor U1 U1 + U1 = noChange method 1700 a 100
91C0 - Caledonian forest UK ATL 36127.01 100 = 36127.01 N/A N/A 802.94 interval a 100 = 883.23 94.75 - 94.75 34.34 - 34.34 673.85 - 673.85 U2 x good poor bad U2 U2 = U2 - noChange genuine 32100 a 100
91CA - Rhodopide and Balkan Range Scots pine forests BG CON 43400 100 = 43400 N/A N/A 337.74 estimate a 100 = 337.74 337.73 - 337.73 0.01 - 0.01 N/A - N/A FV = poor poor poor U1 U1 + U1 = noChange method 25300 a 100
91CA - Rhodopide and Balkan Range Scots pine forests GR MED 722 100 = ≈ N/A N/A 182.80 estimate b 100 = ≈ 164.52 - 164.52 N/A - N/A 18.28 - 18.28 FV = good good poor U1 U1 = FV N/A knowledge method 3200 b 100
91CA - Rhodopide and Balkan Range Scots pine forests BG ALP 26000 100 = 26000 N/A N/A 1919.02 estimate a 100 = 1919.02 1918.98 - 1918.98 0.04 - 0.04 N/A - N/A XX x poor poor poor U1 U1 x U1 = noChange method 16400 a 100
91D0 - Bog woodland SE CON 16000 3.88 = 16000 150 150 150 estimate b 13.05 = 150 63 - 63 13 - 13 74 - 74 U1 x good good poor U1 U1 = U1 x noChange noChange 6200 b 2.40
91D0 - Bog woodland PL ALP 6800 4.21 = ≈ N/A N/A 11 estimate b 0.47 = ≈ 3.67 - 11 N/A - 7.33 N/A - N/A U1 = good good poor U1 U1 = U1 = noChange noChange 2900 b 3.12
91D0 - Bog woodland PL CON 202700 49.11 = ≈ N/A N/A 570 estimate b 49.60 = ≈ 142.50 - 436.80 133.20 - 427.50 N/A - N/A U1 - good good poor U1 U1 - U1 = noChange genuine 125100 b 48.36
91D0 - Bog woodland EE BOR 47200 5.18 = ≈ 440 500 N/A estimate a 1.15 = ≈ 350 - 350 90 - 90 N/A - 60 U1 = good good poor U1 U1 = U1 - noChange noChange 32600 a 4.19
91D0 - Bog woodland DK CON 29544 7.16 = ≈ N/A N/A 44.84 estimate b 3.90 x ≈ N/A - N/A 44.84 - 44.84 N/A - N/A U2 - good good bad U2 U2 - U2 = N/A N/A 11200 b 4.33
91D0 - Bog woodland DK ATL 13473 11.41 = ≈ N/A N/A 8.10 estimate b 4.55 x ≈ N/A - N/A 8.10 - 8.10 N/A - N/A U2 - good good bad U2 U2 - U2 = N/A N/A 4700 b 6.63
91D0 - Bog woodland FI BOR 355700 39 = ≈ N/A N/A 19000 estimate a 46.49 = > 7880 - N/A 6055 - N/A 5065 - 5065 U1 - good poor poor U1 U1 - U1 - noChange noChange 348700 b 44.85
91D0 - Bog woodland HR ALP 100 0.06 u > N/A N/A 0.07 minimum c 0 u < 0.07 - 0.07 N/A - N/A N/A - N/A U1 u poor poor poor U1 U1 x N/A N/A noChange noChange 100 a 0.11
91D0 - Bog woodland FI ALP 21200 13.12 = ≈ N/A N/A 170 estimate b 7.24 = ≈ 170 - 170 N/A - N/A N/A - N/A FV = good good good FV FV = FV N/A noChange noChange 17900 b 19.25
91D0 - Bog woodland PT MAC 3100 100 - > 120 140 132 estimate a 100 - > 55 - 68 68 - 75 N/A - N/A U1 - good poor poor U1 U2 - U1 = noChange genuine 1900 a 100
91D0 - Bog woodland DE CON 98474 23.86 = > 209.82 213.23 211.52 estimate b 18.41 - > 85.86 - 143.86 67.67 - 125.67 N/A - N/A U2 = poor poor poor U2 U2 - U2 = noChange method 72900 b 28.18
91D0 - Bog woodland DE ATL 45468 38.49 = ≈ 137.72 138.43 138.08 estimate a 77.57 - x 35.06 - 35.06 57.50 - 57.50 45.52 - 45.52 U2 x good poor unk U1 U2 - U2 = noChange knowledge 33600 b 47.39
91D0 - Bog woodland DE ALP 3968 2.46 = 3968 5.24 5.60 5.42 estimate c 0.23 = 5.42 5.02 - 5.34 0.40 - 0.75 N/A - N/A FV = good good good FV FV = FV N/A noChange noChange 4300 b 4.62
91D0 - Bog woodland CZ PAN 100 100 = ≈ N/A N/A 0.01 estimate a 100 = ≈ 0.01 - 0.01 N/A - N/A N/A - N/A U1 = good good good FV U1 = U1 - noChange noChange 100 a 100
91D0 - Bog woodland CZ CON 31700 7.68 = ≈ N/A N/A 126.10 estimate a 10.97 = ≈ 93.86 - 93.86 9.43 - 9.43 22.81 - 22.81 U1 = poor poor poor U1 U1 = U1 + noChange noChange 18500 a 7.15
91D0 - Bog woodland RO ALP 10200 6.31 = ≈ N/A N/A 80 estimate a 3.41 = > N/A - N/A N/A - N/A N/A - 80 XX x good good good FV U1 = U1 = N/A N/A 6300 a 6.77
91D0 - Bog woodland RO CON 2000 0.48 + x N/A N/A 8.20 estimate a 0.71 = > N/A - N/A N/A - N/A N/A - 8.20 XX x good good good FV U1 = U2 x N/A method 400 a 0.15
91D0 - Bog woodland SE ALP 71000 43.95 = 71000 2000 2000 2000 estimate b 85.17 = 2000 6 - 6 0.20 - 0.20 1993 - 1993 XX = good good good FV FV = FV N/A noChange noChange 35600 b 38.28
91D0 - Bog woodland SE BOR 380000 41.67 = 380000 20000 20000 20000 estimate b 48.93 = 20000 1601 - 1601 1241 - 1241 17159 - 17159 U1 = good good poor U1 U1 = FV N/A knowledge noChange 277600 b 35.71
91D0 - Bog woodland IE ATL 9000 7.62 = 9000 2.13 N/A N/A minimum a 1.20 = 2.13 2.04 - 2.04 0.09 - 0.09 N/A - N/A FV = good good good FV FV = FV N/A noChange noChange 4400 a 6.21
91D0 - Bog woodland FR ALP 3500 2.17 = ≈ 30 30 N/A estimate c 1.28 - > 1 - 1 1 - 1 28 - 28 XX - good poor poor U1 U1 - U1 = noChange noChange 2800 b 3.01
91D0 - Bog woodland FR ATL 15300 12.95 = ≈ 6 30 15 estimate c 8.43 = ≈ 5 - 15 0.60 - 15 10 - 15 U1 = good good good FV U1 = U1 x noChange noChange 13400 b 18.90
91D0 - Bog woodland FR CON 18700 4.53 = ≈ 18 30 N/A estimate c 2.09 = > N/A - N/A N/A - N/A 18 - 30 XX u poor unk poor U1 U1 = U1 = noChange noChange 15600 b 6.03
91D0 - Bog woodland SI ALP 723 0.45 = ≈ N/A N/A 12 estimate b 0.51 = ≈ 8 - 10 2 - 4 N/A - N/A U1 - good poor poor U1 U1 - U1 - noChange noChange 800 b 0.86
91D0 - Bog woodland AT ALP 23700 14.67 = ≈ N/A N/A 5.60 estimate a 0.24 = ≈ 2.36 - 3.03 2.58 - 3.25 N/A - N/A U2 u good good bad U2 U2 = U1 x knowledge knowledge 10600 a 11.40
91D0 - Bog woodland LT BOR 64787 7.10 = 64787 N/A N/A 500.60 estimate a 1.22 u ≈ N/A - N/A N/A - N/A 500.60 - 500.60 U1 u good unk poor U1 U1 x FV N/A knowledge knowledge 50500 a 6.50
91D0 - Bog woodland BG CON 100 0.02 = 100 N/A N/A 0.01 estimate a 0 = 0.01 0.01 - 0.01 N/A - N/A N/A - N/A FV = poor poor poor U1 U1 + U1 = noChange method 100 a 0.04
91D0 - Bog woodland BG ALP 2300 1.42 = 2300 N/A N/A 0.04 estimate a 0 = 0.04 0.04 - 0.04 N/A - N/A N/A - N/A FV = poor poor poor U1 U1 + U1 = noChange method 500 a 0.54
91D0 - Bog woodland IT ALP 13200 8.17 = > 9.10 11.34 N/A estimate b 0.44 - > 8.54 - 8.54 0.55 - 0.55 0 - 0 U1 - poor poor poor U1 U1 - U1 = noChange knowledge 6000 b 6.45
91D0 - Bog woodland BE CON 7700 1.87 = ≈ 7 11 9 estimate b 0.78 + >> N/A - N/A N/A - N/A 7 - 11 U2 u good poor bad U2 U2 + U2 + noChange noChange 5000 a 1.93
91D0 - Bog woodland BE ATL 200 0.17 = >> 0.02 0.10 0.02 estimate c 0.01 = >> N/A - N/A 0.02 - 0.10 N/A - N/A U2 x bad bad bad U2 U2 x U2 x noChange noChange 200 a 0.28
91D0 - Bog woodland SK ALP 4874.30 3.02 = ≈ N/A N/A 24 estimate b 1.02 - > 3.54 - 3.54 2.54 - 2.54 17.91 - 17.91 U1 u good poor poor U1 U1 x U1 - N/A N/A 5200 b 5.59
91D0 - Bog woodland AT CON 4300 1.04 = > 4.80 5.30 N/A estimate a 0.44 + > 1.52 - 2.29 3.21 - 3.89 0.05 - 0.77 U2 - poor good bad U2 U2 = U2 x noChange knowledge 3200 a 1.24
91D0 - Bog woodland UK ATL 26375.32 22.33 = 26375.32 N/A N/A 6.57 estimate b 3.69 = 7.23 4.12 - 4.12 0.95 - 0.95 1.50 - 1.50 U1 + good poor poor U1 U1 + U1 = noChange method 8000 b 11.28
91D0 - Bog woodland HR CON 100 0.02 = ≈ N/A N/A 0.42 estimate a 0.04 = ≈ 0.42 - 0.42 N/A - N/A N/A - N/A U1 = good poor poor U1 U1 = N/A N/A noChange noChange 100 a 0.04
91D0 - Bog woodland LV BOR 64254 7.05 = x 602.40 1200 N/A estimate b 2.20 x x 557.25 - 1110 45.15 - 90 N/A - N/A U1 = good unk poor U1 U1 = U2 - knowledge knowledge 68000 b 8.75
91D0 - Bog woodland LU CON 1400 0.34 - >> 0.04 0.04 N/A estimate b 0 - >> N/A - N/A N/A - N/A 0.03 - 0.03 U2 - bad bad bad U2 U2 - U2 x noChange method 400 a 0.15
91D0 - Bog woodland NL ATL 8300 7.03 = ≈ N/A N/A 8.10 estimate a 4.55 = > N/A - N/A N/A - N/A 8.10 - 8.10 U2 x poor poor bad U2 U2 = U2 = noChange noChange 6600 a 9.31
91E0 - Alluvial forests with Alnus glutinosa and Fraxinus excelsior (Alno-Padion, Alnion incanae, Salicion albae) LT BOR 64787 14.40 = 64787 N/A N/A 287.10 estimate a 59.85 u ≈ N/A - N/A N/A - N/A 287.10 - 287.10 U1 u good good poor U1 U1 x U1 = knowledge knowledge 56200 a 28
91E0 - Alluvial forests with Alnus glutinosa and Fraxinus excelsior (Alno-Padion, Alnion incanae, Salicion albae) PL ALP 15200 5.23 = ≈ 30 56 43 estimate b 6.81 = ≈ 7.80 - 32.30 10.80 - 35.20 N/A - N/A U1 = good good poor U1 U1 = U2 = knowledge noChange 10500 b 6.06
91E0 - Alluvial forests with Alnus glutinosa and Fraxinus excelsior (Alno-Padion, Alnion incanae, Salicion albae) CZ CON 85900 7.59 = ≈ N/A N/A 613.77 estimate a 13.29 = ≈ 457.92 - 457.92 103.54 - 103.54 52.32 - 52.32 U2 - good good poor U1 U2 - U2 - noChange noChange 76900 a 8.42
91E0 - Alluvial forests with Alnus glutinosa and Fraxinus excelsior (Alno-Padion, Alnion incanae, Salicion albae) BG CON 61100 5.40 = 61100 N/A N/A 44.21 estimate a 0.96 = 44.21 44.21 - 44.21 N/A - N/A N/A - N/A FV = poor poor poor U1 U1 + U1 = noChange method 33900 a 3.71
91E0 - Alluvial forests with Alnus glutinosa and Fraxinus excelsior (Alno-Padion, Alnion incanae, Salicion albae) BG BLS 3600 100 = 3600 N/A N/A 0.36 estimate a 100 = 0.36 0.36 - 0.36 N/A - N/A N/A - N/A FV = poor poor poor U1 U1 + U1 = noChange method 2900 a 100
91E0 - Alluvial forests with Alnus glutinosa and Fraxinus excelsior (Alno-Padion, Alnion incanae, Salicion albae) BG ALP 15500 5.34 = 15500 N/A N/A 0.10 estimate a 0.02 u 0.10 0.10 - 0.10 N/A - N/A N/A - N/A FV = poor poor poor U1 U1 = U1 = noChange noChange 6800 a 3.93
91E0 - Alluvial forests with Alnus glutinosa and Fraxinus excelsior (Alno-Padion, Alnion incanae, Salicion albae) LU CON 3800 0.34 + ≈ 3.36 4.30 N/A estimate b 0.08 + 6.10 3.15 - 3.15 0.20 - 0.20 0.94 - 0.94 FV + good poor good U1 U2 + U2 + noChange genuine 2600 a 0.28
91E0 - Alluvial forests with Alnus glutinosa and Fraxinus excelsior (Alno-Padion, Alnion incanae, Salicion albae) UK ATL 194652.73 29.20 = 194652.73 N/A N/A 109.08 estimate b 5.64 = 119.99 3.44 - 3.44 11.01 - 11.01 94.64 - 94.64 U2 x good poor bad U2 U2 = U2 = noChange noChange 114000 b 30.58
91E0 - Alluvial forests with Alnus glutinosa and Fraxinus excelsior (Alno-Padion, Alnion incanae, Salicion albae) CZ PAN 5800 7.04 = ≈ N/A N/A 10.60 estimate a 2.04 = ≈ 7.10 - 7.10 2.20 - 2.20 1.29 - 1.29 U1 = good good poor U1 U1 = U1 - noChange noChange 3100 a 3.75
91E0 - Alluvial forests with Alnus glutinosa and Fraxinus excelsior (Alno-Padion, Alnion incanae, Salicion albae) DE ALP 3977 1.37 = 3977 13 21 17 estimate c 2.69 = ≈ 13 - 15 1 - 2 2 - 3 FV = good good good FV FV = FV N/A noChange noChange 4700 b 2.71
91E0 - Alluvial forests with Alnus glutinosa and Fraxinus excelsior (Alno-Padion, Alnion incanae, Salicion albae) DE ATL 62095 9.31 = ≈ 93.70 99.37 96.54 estimate b 4.99 = > 55.36 - 74.37 22.17 - 41.18 N/A - N/A U2 x good poor bad U2 U2 = U2 = noChange noChange 50600 b 13.57
91E0 - Alluvial forests with Alnus glutinosa and Fraxinus excelsior (Alno-Padion, Alnion incanae, Salicion albae) IT MED 50900 17.77 + ≈ 49.84 54.96 N/A estimate b 12.37 = ≈ 40.34 - 40.34 4.94 - 4.94 9.06 - 9.06 U1 u poor poor poor U1 U1 = U1 = noChange noChange 23600 b 14.81
91E0 - Alluvial forests with Alnus glutinosa and Fraxinus excelsior (Alno-Padion, Alnion incanae, Salicion albae) IT CON 84900 7.50 + ≈ 271.33 330.97 N/A estimate b 6.52 - >> 116.27 - 116.27 11.54 - 11.54 0.28 - 0.28 U1 - good bad bad U2 U2 - U2 - noChange noChange 49300 b 5.40
91E0 - Alluvial forests with Alnus glutinosa and Fraxinus excelsior (Alno-Padion, Alnion incanae, Salicion albae) IT ALP 57500 19.80 + > 97 198.62 N/A estimate b 23.42 - >> 16.89 - 16.89 14.57 - 14.57 0.67 - 0.67 U2 - poor bad bad U2 U2 - U2 - noChange noChange 35700 b 20.61
91E0 - Alluvial forests with Alnus glutinosa and Fraxinus excelsior (Alno-Padion, Alnion incanae, Salicion albae) AT CON 28800 2.54 = > 100 115 110 estimate a 2.38 x >> 35 - 40 65 - 75 N/A - N/A U2 x poor bad bad U2 U2 x U1 = genuine noInfo 20500 a 2.24
91E0 - Alluvial forests with Alnus glutinosa and Fraxinus excelsior (Alno-Padion, Alnion incanae, Salicion albae) DE CON 279902 24.73 = ≈ 762.28 769.94 766.11 estimate b 16.59 = > 400.49 - 743.77 135.79 - 252.17 N/A - N/A U2 + good poor bad U2 U2 + U2 = noChange genuine 269600 b 29.52
91E0 - Alluvial forests with Alnus glutinosa and Fraxinus excelsior (Alno-Padion, Alnion incanae, Salicion albae) PT MED 62700 21.89 = ≈ N/A N/A N/A d 0 = ≈ N/A - N/A N/A - N/A N/A - N/A U1 - good poor poor U1 U1 - FV N/A knowledge knowledge 37400 c 23.46
91E0 - Alluvial forests with Alnus glutinosa and Fraxinus excelsior (Alno-Padion, Alnion incanae, Salicion albae) PT ATL 6400 0.96 = ≈ N/A N/A N/A d 0 = ≈ N/A - N/A N/A - N/A N/A - N/A U1 - good poor poor U1 U1 - FV N/A knowledge knowledge 4800 c 1.29
91E0 - Alluvial forests with Alnus glutinosa and Fraxinus excelsior (Alno-Padion, Alnion incanae, Salicion albae) FI BOR 91600 20.36 = > N/A N/A 10 minimum c 2.08 - >> N/A - N/A N/A - N/A N/A - N/A XX - bad bad bad U2 U2 - U2 - noChange noChange 24100 b 12.01
91E0 - Alluvial forests with Alnus glutinosa and Fraxinus excelsior (Alno-Padion, Alnion incanae, Salicion albae) FI ALP 7200 2.48 = ≈ N/A N/A 1.50 estimate b 0.24 = ≈ 0.35 - 0.35 N/A - N/A 1.15 - 1.15 XX = good good poor U1 U1 = FV N/A genuine noChange 2200 b 1.27
91E0 - Alluvial forests with Alnus glutinosa and Fraxinus excelsior (Alno-Padion, Alnion incanae, Salicion albae) HU PAN 68709 83.36 = ≈ 450 550 N/A estimate b 96.41 = > 115 - 173 273 - 292 62 - 85 U2 - good poor bad U2 U2 - U1 - method noChange 71100 b 86.08
91E0 - Alluvial forests with Alnus glutinosa and Fraxinus excelsior (Alno-Padion, Alnion incanae, Salicion albae) PL CON 316600 27.98 = ≈ N/A N/A 1025 estimate b 22.20 = ≈ 167.50 - 676.60 348.40 - 857.50 N/A - N/A U2 - good good poor U1 U2 - U2 = noChange knowledge 267000 b 29.23
91E0 - Alluvial forests with Alnus glutinosa and Fraxinus excelsior (Alno-Padion, Alnion incanae, Salicion albae) DK ATL 13473 2.02 = ≈ N/A N/A 7.81 estimate b 0.40 x ≈ N/A - N/A 7.81 - 7.81 N/A - N/A U2 u good good bad U2 U2 x U2 = N/A N/A 3100 b 0.83
91E0 - Alluvial forests with Alnus glutinosa and Fraxinus excelsior (Alno-Padion, Alnion incanae, Salicion albae) DK CON 29544 2.61 = ≈ N/A N/A 185.28 estimate b 4.01 x ≈ N/A - 2.35 182.93 - 185.28 N/A - N/A U2 u good good bad U2 U2 x U2 = N/A N/A 19900 b 2.18
91E0 - Alluvial forests with Alnus glutinosa and Fraxinus excelsior (Alno-Padion, Alnion incanae, Salicion albae) EE BOR 11000 2.45 = ≈ N/A N/A 38 estimate a 7.92 = ≈ 37 - 37 1 - 1 N/A - N/A FV + good good good FV FV + U1 + knowledge knowledge 4400 a 2.19
91E0 - Alluvial forests with Alnus glutinosa and Fraxinus excelsior (Alno-Padion, Alnion incanae, Salicion albae) BE CON 15400 1.36 = ≈ 44 53 48.70 interval a 1.05 + >> N/A - N/A N/A - N/A 44 - 53 U1 = good poor bad U2 U2 + U2 x noChange genuine 12500 a 1.37
91E0 - Alluvial forests with Alnus glutinosa and Fraxinus excelsior (Alno-Padion, Alnion incanae, Salicion albae) BE ATL 22000 3.30 = ≈ 119 146 131 estimate b 6.78 - >> 1.50 - 4.90 107.40 - 110.70 16.70 - 21.60 U2 - good poor poor U1 U2 - U2 + noChange genuine 18600 a 4.99
91E0 - Alluvial forests with Alnus glutinosa and Fraxinus excelsior (Alno-Padion, Alnion incanae, Salicion albae) AT ALP 43000 14.81 x > 80 160 N/A minimum b 19.02 x >> 3.30 - 3.30 1.80 - 1.80 74.90 - 154.90 U2 x poor bad bad U2 U2 x U1 - genuine noInfo 33500 a 19.34
91E0 - Alluvial forests with Alnus glutinosa and Fraxinus excelsior (Alno-Padion, Alnion incanae, Salicion albae) HR CON 21100 1.86 = ≈ N/A N/A 234.32 estimate a 5.08 = ≈ 234.32 - 234.32 N/A - N/A N/A - N/A FV = good good good FV FV = N/A N/A noChange noChange 19800 a 2.17
91E0 - Alluvial forests with Alnus glutinosa and Fraxinus excelsior (Alno-Padion, Alnion incanae, Salicion albae) HR ALP 900 0.31 = ≈ N/A N/A 2.57 estimate a 0.41 = ≈ 2.57 - 2.57 N/A - N/A N/A - N/A FV = good good good FV FV = N/A N/A noChange noChange 800 a 0.46
91E0 - Alluvial forests with Alnus glutinosa and Fraxinus excelsior (Alno-Padion, Alnion incanae, Salicion albae) SK ALP 28720.70 9.89 = > N/A N/A 42 estimate b 6.66 + > 3.23 - 3.23 2.34 - 2.34 36.43 - 36.43 U1 u poor poor poor U1 U1 = U1 = N/A N/A 29000 b 16.74
91E0 - Alluvial forests with Alnus glutinosa and Fraxinus excelsior (Alno-Padion, Alnion incanae, Salicion albae) NL ATL 16100 2.41 = ≈ N/A N/A 68 estimate b 3.52 - > 12 - 46 22 - 56 N/A - N/A U1 x good poor poor U1 U1 x U1 - noChange method 12200 a 3.27
91E0 - Alluvial forests with Alnus glutinosa and Fraxinus excelsior (Alno-Padion, Alnion incanae, Salicion albae) SE ALP 26000 8.95 = 26000 10 10 10 estimate b 1.58 = 10 N/A - N/A N/A - N/A 10 - 10 U1 x good good poor U1 U1 = FV N/A knowledge noChange 7900 b 4.56
91E0 - Alluvial forests with Alnus glutinosa and Fraxinus excelsior (Alno-Padion, Alnion incanae, Salicion albae) SE BOR 218000 48.46 = 218000 40 40 40 estimate b 8.34 - 150 7 - 7 7 - 7 26 - 26 U1 x good bad bad U2 U2 x U1 x knowledge noChange 52200 b 26.01
91E0 - Alluvial forests with Alnus glutinosa and Fraxinus excelsior (Alno-Padion, Alnion incanae, Salicion albae) SE CON 17000 1.50 = 17000 10 10 10 estimate b 0.22 - 10 3 - 3 5 - 5 2 - 2 U2 x good poor bad U2 U2 x U2 x noChange noChange 8200 b 0.90
91E0 - Alluvial forests with Alnus glutinosa and Fraxinus excelsior (Alno-Padion, Alnion incanae, Salicion albae) IE ATL 61000 9.15 = ≈ N/A N/A 19.64 minimum a 1.02 - 151.25 16.66 - 16.66 2.98 - 2.98 N/A - N/A U1 - good bad bad U2 U2 - U2 + noChange knowledge 19800 a 5.31
91E0 - Alluvial forests with Alnus glutinosa and Fraxinus excelsior (Alno-Padion, Alnion incanae, Salicion albae) ES ALP 9800 3.37 = ≈ N/A N/A 15.07 estimate b 2.39 u > 1.39 - 1.39 0.37 - 0.37 13.30 - 13.30 XX x good good good FV U1 x U1 x noChange noChange 4000 b 2.31
91E0 - Alluvial forests with Alnus glutinosa and Fraxinus excelsior (Alno-Padion, Alnion incanae, Salicion albae) RO CON 75900 6.71 = > N/A N/A 129.40 estimate a 2.80 = > N/A - N/A N/A - N/A N/A - 129.40 U1 x poor poor poor U1 U1 = U1 = N/A N/A 27500 a 3.01
91E0 - Alluvial forests with Alnus glutinosa and Fraxinus excelsior (Alno-Padion, Alnion incanae, Salicion albae) RO ALP 46300 15.94 = ≈ N/A N/A 6 estimate a 0.95 = > N/A - N/A N/A - N/A N/A - 6 XX x good good unk FV U1 = U1 = N/A method 16900 a 9.76
91E0 - Alluvial forests with Alnus glutinosa and Fraxinus excelsior (Alno-Padion, Alnion incanae, Salicion albae) ES ATL 70000 10.50 = ≈ N/A N/A 400.82 estimate b 20.74 = x 41.14 - 41.38 26.55 - 28.22 331.21 - 333.11 U1 x good poor unk U1 U1 = U1 x noChange knowledge 57900 b 15.53
91E0 - Alluvial forests with Alnus glutinosa and Fraxinus excelsior (Alno-Padion, Alnion incanae, Salicion albae) GR MED 694 0.24 = ≈ N/A N/A 84.90 estimate b 20.04 = ≈ 76.41 - 76.41 N/A - N/A 8.49 - 8.49 FV = good good poor U1 U1 = FV N/A knowledge method 11500 b 7.21
91E0 - Alluvial forests with Alnus glutinosa and Fraxinus excelsior (Alno-Padion, Alnion incanae, Salicion albae) LV BOR 64482 14.33 = x 87.31 121.89 N/A estimate b 21.81 x x 67.23 - 93.86 20.08 - 28.03 N/A - N/A U1 x good poor poor U1 U1 x U2 - knowledge knowledge 63800 b 31.79
91E0 - Alluvial forests with Alnus glutinosa and Fraxinus excelsior (Alno-Padion, Alnion incanae, Salicion albae) FR ALP 34600 11.91 - > N/A 400 N/A estimate c 31.69 - > N/A - 400 N/A - 400 N/A - 400 XX x bad bad bad U2 U2 - U2 = noChange noChange 19500 b 11.26
91E0 - Alluvial forests with Alnus glutinosa and Fraxinus excelsior (Alno-Padion, Alnion incanae, Salicion albae) FR ATL 221000 33.15 = 97004 700 1500 N/A minimum c 56.91 - > 215 - 1060 86 - 850 30 - 1190 U2 - good poor bad U2 U2 - U2 - noChange noChange 91800 b 24.62
91E0 - Alluvial forests with Alnus glutinosa and Fraxinus excelsior (Alno-Padion, Alnion incanae, Salicion albae) FR CON 106700 9.43 = ≈ 864 1216 1040 estimate c 22.53 - > 673 - 1025 864 - 1216 864 - 1216 U2 - poor bad bad U2 U2 - U2 = noChange noChange 100100 b 10.96
91E0 - Alluvial forests with Alnus glutinosa and Fraxinus excelsior (Alno-Padion, Alnion incanae, Salicion albae) FR MED 45700 15.95 = x 34 46 N/A estimate c 9.44 - x N/A - N/A N/A - N/A 34 - 46 U1 u good poor poor U2 U2 - U2 = noChange noInfo 21400 b 13.43
91E0 - Alluvial forests with Alnus glutinosa and Fraxinus excelsior (Alno-Padion, Alnion incanae, Salicion albae) SK PAN 7917.05 9.61 - > N/A N/A 8 estimate b 1.54 - > 1.58 - 1.58 1.03 - 1.03 5.39 - 5.39 FV u poor poor poor U1 U2 - U2 - N/A N/A 8400 b 10.17
91E0 - Alluvial forests with Alnus glutinosa and Fraxinus excelsior (Alno-Padion, Alnion incanae, Salicion albae) SI ALP 1722 0.59 - > N/A N/A 26 estimate b 4.12 - > 10 - 21 5 - 16 N/A - N/A U1 - poor poor poor U1 U1 - U1 - noChange noChange 1700 b 0.98
91E0 - Alluvial forests with Alnus glutinosa and Fraxinus excelsior (Alno-Padion, Alnion incanae, Salicion albae) SI CON 5072 0.45 = > N/A N/A 105 estimate b 2.27 - > 45 - 65 40 - 60 N/A - N/A U2 - good bad bad U2 U2 - U2 - noChange noChange 5500 b 0.60
91E0 - Alluvial forests with Alnus glutinosa and Fraxinus excelsior (Alno-Padion, Alnion incanae, Salicion albae) ES MED 126500 44.15 = x N/A N/A 246.28 estimate b 58.14 = > 27.99 - 27.99 92.05 - 93.72 124.57 - 126.24 U2 - unk poor unk XX U2 - U1 x knowledge knowledge 65500 b 41.09
91F0 - Riparian mixed forest of Quercus robur, Ulmus laevis and Ulmus minor, Fraxinus excelsior or Fraxinus angustifolia along the great rivers (Ulmenion minoris) DE ATL 13272 13.30 = > 8.33 8.53 8.43 estimate b 1.66 = >> 2.66 - 4.94 3.49 - 5.77 N/A - N/A U2 x poor bad unk U2 U2 = U2 = noChange noChange 9300 a 23.97
91F0 - Riparian mixed forest of Quercus robur, Ulmus laevis and Ulmus minor, Fraxinus excelsior or Fraxinus angustifolia along the great rivers (Ulmenion minoris) AT ALP 2400 30.33 x x 10 20 N/A estimate b 42.52 - >> 0.58 - 0.58 0.02 - 0.02 999.40 - 1999.40 U2 x bad bad bad U2 U2 x U2 = noChange noInfo 2600 b 44.83
91F0 - Riparian mixed forest of Quercus robur, Ulmus laevis and Ulmus minor, Fraxinus excelsior or Fraxinus angustifolia along the great rivers (Ulmenion minoris) AT CON 8900 1.96 x > 70 130 100 estimate b 3.26 - >> 6.70 - 6.70 1.70 - 1.70 61.60 - 121.60 U2 x bad bad bad U2 U2 x U2 = noChange noInfo 6300 b 2.34
91F0 - Riparian mixed forest of Quercus robur, Ulmus laevis and Ulmus minor, Fraxinus excelsior or Fraxinus angustifolia along the great rivers (Ulmenion minoris) BE ATL 300 0.30 = >> 0.01 0.01 0.01 estimate a 0 = >> N/A - N/A 0.01 - 0.01 N/A - N/A U2 = poor poor good U1 U2 = U2 = method noChange 100 a 0.26
91F0 - Riparian mixed forest of Quercus robur, Ulmus laevis and Ulmus minor, Fraxinus excelsior or Fraxinus angustifolia along the great rivers (Ulmenion minoris) BE CON 1000 0.22 = ≈ 0.50 0.56 0.53 estimate a 0.02 - >> N/A - N/A N/A - N/A 0.50 - 0.56 U2 x good bad bad U2 U2 - U2 x noChange genuine 700 a 0.26
91F0 - Riparian mixed forest of Quercus robur, Ulmus laevis and Ulmus minor, Fraxinus excelsior or Fraxinus angustifolia along the great rivers (Ulmenion minoris) BG BLS 5200 100 = 5200 N/A N/A 23.90 estimate a 100 = 23.90 23.90 - 23.90 N/A - N/A N/A - N/A FV = poor poor poor U1 U1 + U1 = noChange method 1800 a 100
91F0 - Riparian mixed forest of Quercus robur, Ulmus laevis and Ulmus minor, Fraxinus excelsior or Fraxinus angustifolia along the great rivers (Ulmenion minoris) BG CON 38400 8.47 = 38400 N/A N/A 39.59 estimate a 1.29 = 39.59 39.59 - 39.59 N/A - N/A N/A - N/A FV = poor poor poor U1 U1 + U1 = noChange method 14800 a 5.50
91F0 - Riparian mixed forest of Quercus robur, Ulmus laevis and Ulmus minor, Fraxinus excelsior or Fraxinus angustifolia along the great rivers (Ulmenion minoris) CZ CON 25500 5.62 = ≈ N/A N/A 110.82 estimate a 3.61 = ≈ 85.17 - 85.17 17.19 - 17.19 8.46 - 8.46 U1 - good poor poor U1 U1 - U1 - noChange noChange 14500 a 5.39
91F0 - Riparian mixed forest of Quercus robur, Ulmus laevis and Ulmus minor, Fraxinus excelsior or Fraxinus angustifolia along the great rivers (Ulmenion minoris) CZ PAN 5000 8 = ≈ N/A N/A 77.27 estimate a 14.14 - ≈ 61.83 - 61.83 13.06 - 13.06 2.38 - 2.38 U1 - good poor poor U1 U1 - U1 - noChange noChange 2500 a 4.30
91F0 - Riparian mixed forest of Quercus robur, Ulmus laevis and Ulmus minor, Fraxinus excelsior or Fraxinus angustifolia along the great rivers (Ulmenion minoris) DE CON 35586 7.85 = > 147.98 179.72 163.85 estimate b 5.34 = > 102.63 - 118.75 45.82 - 67.30 10.76 - 10.87 U2 - poor poor bad U2 U2 - U2 = noChange genuine 26600 a 9.89
91F0 - Riparian mixed forest of Quercus robur, Ulmus laevis and Ulmus minor, Fraxinus excelsior or Fraxinus angustifolia along the great rivers (Ulmenion minoris) EE BOR 3900 4.01 = ≈ N/A N/A 7 estimate a 30.24 - ≈ 6 - 6 1 - 1 N/A - N/A U1 + good good good FV U1 x U1 + noChange noChange 2100 a 12.65
91F0 - Riparian mixed forest of Quercus robur, Ulmus laevis and Ulmus minor, Fraxinus excelsior or Fraxinus angustifolia along the great rivers (Ulmenion minoris) FR ALP N/A 0 N/A N/ N/A N/A N/A N/A 0 N N/ N/A - N/A N/A - N/A N/A - N/A N/A N/A N/A N/A N/A N/A N/A N N/A N/A noChange noChange N/A a 0
91F0 - Riparian mixed forest of Quercus robur, Ulmus laevis and Ulmus minor, Fraxinus excelsior or Fraxinus angustifolia along the great rivers (Ulmenion minoris) FR ATL 84500 84.69 = 28938 400 600 500 interval b 98.17 = x 99 - 548 51 - 500 1 - 450 U2 x good unk bad U2 U2 = U1 = noChange noChange 27800 a 71.65
91F0 - Riparian mixed forest of Quercus robur, Ulmus laevis and Ulmus minor, Fraxinus excelsior or Fraxinus angustifolia along the great rivers (Ulmenion minoris) FR CON 20352 4.49 x >> 137 476 372 interval c 12.13 - >> 137 - 300 137 - 476 137 - 476 U2 - poor bad bad U2 U2 - U2 - noChange noChange 21400 a 7.96
91F0 - Riparian mixed forest of Quercus robur, Ulmus laevis and Ulmus minor, Fraxinus excelsior or Fraxinus angustifolia along the great rivers (Ulmenion minoris) FR MED 1570 6.22 = x N/A 10 N/A estimate c 3.52 = x N/A - 10 N/A - 10 N/A - 10 U2 u poor poor poor U2 U2 = U2 = noChange noInfo 1500 a 5.91
91F0 - Riparian mixed forest of Quercus robur, Ulmus laevis and Ulmus minor, Fraxinus excelsior or Fraxinus angustifolia along the great rivers (Ulmenion minoris) GR MED 567 2.25 = ≈ N/A N/A 96.40 estimate b 67.90 - ≈ N/A - N/A 28.92 - 28.92 67.48 - 67.48 U2 + good poor bad U2 U2 = U1 = knowledge noChange 8600 b 33.86
91F0 - Riparian mixed forest of Quercus robur, Ulmus laevis and Ulmus minor, Fraxinus excelsior or Fraxinus angustifolia along the great rivers (Ulmenion minoris) HR ALP 200 2.53 = ≈ N/A N/A 0.78 estimate a 2.21 = ≈ 0.78 - 0.78 N/A - N/A N/A - N/A FV = good good good FV FV = N/A N/A noChange noChange 200 a 3.45
91F0 - Riparian mixed forest of Quercus robur, Ulmus laevis and Ulmus minor, Fraxinus excelsior or Fraxinus angustifolia along the great rivers (Ulmenion minoris) HR CON 19000 4.19 = ≈ N/A N/A 1282.63 estimate a 41.83 = ≈ 982.63 - 1182.63 100 - 300 N/A - N/A U1 - good poor bad U2 U2 - N/A N/A N/A 18500 a 6.88
91F0 - Riparian mixed forest of Quercus robur, Ulmus laevis and Ulmus minor, Fraxinus excelsior or Fraxinus angustifolia along the great rivers (Ulmenion minoris) HR MED 800 3.17 = ≈ N/A N/A 4.89 estimate a 3.45 = ≈ N/A - N/A N/A - N/A 4.89 - 4.89 FV x good good good FV FV = N/A N/A N/A 800 a 3.15
91F0 - Riparian mixed forest of Quercus robur, Ulmus laevis and Ulmus minor, Fraxinus excelsior or Fraxinus angustifolia along the great rivers (Ulmenion minoris) HU PAN 38013 60.84 = > 180 250 N/A estimate b 39.36 - >> 65 - 103 92 - 117 23 - 30 U2 - good bad bad U2 U2 - U1 - knowledge noChange 39700 b 68.33
91F0 - Riparian mixed forest of Quercus robur, Ulmus laevis and Ulmus minor, Fraxinus excelsior or Fraxinus angustifolia along the great rivers (Ulmenion minoris) IT ALP 3200 40.44 - >> 4.36 31.33 N/A estimate b 50.58 - >> 0.25 - 0.25 4.72 - 4.72 0.36 - 0.36 U2 - bad bad bad U2 U2 - U2 - noChange noChange 1100 b 18.97
91F0 - Riparian mixed forest of Quercus robur, Ulmus laevis and Ulmus minor, Fraxinus excelsior or Fraxinus angustifolia along the great rivers (Ulmenion minoris) IT CON 29900 6.60 - >> 71.57 101.18 N/A estimate b 2.82 - >> 55.95 - 55.95 6.84 - 6.84 0.16 - 0.16 U2 - bad bad bad U2 U2 - U2 - noChange noChange 17800 b 6.62
91F0 - Riparian mixed forest of Quercus robur, Ulmus laevis and Ulmus minor, Fraxinus excelsior or Fraxinus angustifolia along the great rivers (Ulmenion minoris) IT MED 20000 79.25 + > 30.02 41.34 N/A estimate b 25.13 u >> 29.69 - 29.69 1.19 - 1.19 0.19 - 0.19 U2 x poor bad bad U2 U2 = U2 - noChange noChange 13600 b 53.54
91F0 - Riparian mixed forest of Quercus robur, Ulmus laevis and Ulmus minor, Fraxinus excelsior or Fraxinus angustifolia along the great rivers (Ulmenion minoris) LT BOR 64787 66.67 = 64787 N/A N/A 2.91 estimate a 12.57 u > N/A - N/A N/A - N/A 2.91 - 2.91 U2 - good poor poor U2 U2 x U2 - knowledge knowledge 4700 a 28.31
91F0 - Riparian mixed forest of Quercus robur, Ulmus laevis and Ulmus minor, Fraxinus excelsior or Fraxinus angustifolia along the great rivers (Ulmenion minoris) LV BOR 8493 8.74 x x 4.47 6 N/A estimate b 22.62 x x 3.58 - 4.80 0.89 - 1.20 N/A - N/A U1 = good poor poor U1 U1 x U2 - knowledge knowledge 4500 b 27.11
91F0 - Riparian mixed forest of Quercus robur, Ulmus laevis and Ulmus minor, Fraxinus excelsior or Fraxinus angustifolia along the great rivers (Ulmenion minoris) NL ATL 1700 1.70 = > N/A N/A 0.90 estimate a 0.18 = >> 0.20 - 0.70 0.20 - 0.70 N/A - N/A U2 - poor bad bad U2 U2 - U2 = noChange method 1600 a 4.12
91F0 - Riparian mixed forest of Quercus robur, Ulmus laevis and Ulmus minor, Fraxinus excelsior or Fraxinus angustifolia along the great rivers (Ulmenion minoris) PL CON 220500 48.64 = ≈ N/A N/A 300 estimate b 9.78 = ≈ 16.30 - 110.90 189.10 - 283.70 N/A - N/A U2 - good good poor U1 U2 - U2 - noChange noChange 117700 b 43.77
91F0 - Riparian mixed forest of Quercus robur, Ulmus laevis and Ulmus minor, Fraxinus excelsior or Fraxinus angustifolia along the great rivers (Ulmenion minoris) PT MED 2300 9.11 - ≈ N/A N/A N/A d 0 = ≈ N/A - N/A N/A - N/A N/A - N/A U1 - good good poor U1 U1 - U1 = knowledge knowledge 900 c 3.54
91F0 - Riparian mixed forest of Quercus robur, Ulmus laevis and Ulmus minor, Fraxinus excelsior or Fraxinus angustifolia along the great rivers (Ulmenion minoris) RO CON 41800 9.22 = > N/A N/A 513 estimate b 16.73 = > 452 - 452 61 - 61 N/A - N/A U1 = poor poor poor U1 U1 = U1 = N/A N/A 25900 a 9.63
91F0 - Riparian mixed forest of Quercus robur, Ulmus laevis and Ulmus minor, Fraxinus excelsior or Fraxinus angustifolia along the great rivers (Ulmenion minoris) RO PAN 10700 17.13 = > N/A N/A 187 estimate b 34.23 = > 146 - 146 41 - 41 N/A - N/A U1 = poor poor poor U1 U1 = U1 = N/A N/A 6300 a 10.84
91F0 - Riparian mixed forest of Quercus robur, Ulmus laevis and Ulmus minor, Fraxinus excelsior or Fraxinus angustifolia along the great rivers (Ulmenion minoris) RO STE 8000 100 = ≈ N/A N/A 128 estimate a 100 = > 82 - 82 N/A - N/A 46 - 46 U1 = good good poor U1 U1 = U1 = N/A N/A 5200 a 100
91F0 - Riparian mixed forest of Quercus robur, Ulmus laevis and Ulmus minor, Fraxinus excelsior or Fraxinus angustifolia along the great rivers (Ulmenion minoris) SE BOR 20000 20.58 = 20000 8 8 8 estimate b 34.56 x 5 0.20 - 0.20 0.80 - 0.80 7 - 7 U1 x good unk poor U1 U1 x U2 x knowledge noChange 5300 b 31.93
91F0 - Riparian mixed forest of Quercus robur, Ulmus laevis and Ulmus minor, Fraxinus excelsior or Fraxinus angustifolia along the great rivers (Ulmenion minoris) SE CON 10000 2.21 = 10000 0.40 0.40 0.40 estimate b 0.01 x 1 0.10 - 0.10 0.20 - 0.20 0.03 - 0.03 U2 x good bad bad U2 U2 x U2 x noChange noChange 1800 b 0.67
91F0 - Riparian mixed forest of Quercus robur, Ulmus laevis and Ulmus minor, Fraxinus excelsior or Fraxinus angustifolia along the great rivers (Ulmenion minoris) SI CON 2400 0.53 = > N/A N/A 97 estimate b 3.16 = > 48 - 58 39 - 49 N/A - N/A U2 - poor bad bad U2 U2 - U2 - noChange noChange 2900 b 1.08
91F0 - Riparian mixed forest of Quercus robur, Ulmus laevis and Ulmus minor, Fraxinus excelsior or Fraxinus angustifolia along the great rivers (Ulmenion minoris) SK ALP 2112.03 26.69 = ≈ N/A N/A 1.66 estimate b 4.69 = ≈ 1.24 - 1.24 0.41 - 0.41 N/A - N/A U1 u good poor poor U1 U1 = FV N/A knowledge N/A 1900 b 32.76
91F0 - Riparian mixed forest of Quercus robur, Ulmus laevis and Ulmus minor, Fraxinus excelsior or Fraxinus angustifolia along the great rivers (Ulmenion minoris) SK PAN 8767.71 14.03 = ≈ N/A N/A 67 estimate b 12.27 - > 1.57 - 1.57 5.03 - 5.03 60.39 - 60.39 U1 u good poor poor U1 U2 x U2 = N/A N/A 9600 b 16.52
91G0 - Pannonic woods with Quercus petraea and Carpinus betulus BG BLS 9200 100 = 9200 N/A N/A 223.23 estimate a 100 = 223.23 223.23 - 223.23 N/A - N/A N/A - N/A FV = good good good FV FV + U1 = knowledge knowledge 5400 a 100
91G0 - Pannonic woods with Quercus petraea and Carpinus betulus CZ PAN 5100 11.87 = ≈ N/A N/A 45.94 estimate a 4.08 = ≈ 31.01 - 31.01 12.17 - 12.17 2.77 - 2.77 U2 = good poor poor U1 U2 = U1 - method knowledge 2800 a 6.51
91G0 - Pannonic woods with Quercus petraea and Carpinus betulus CZ CON 5200 5.29 = ≈ N/A N/A 38.56 estimate a 2.23 = ≈ 35.19 - 35.19 2.67 - 2.67 0.70 - 0.70 U1 = good poor poor U1 U1 = U1 - noChange knowledge 2800 a 4.73
91G0 - Pannonic woods with Quercus petraea and Carpinus betulus AT CON 9900 10.08 = ≈ 120 170 N/A estimate a 8.37 + ≈ 100 - 140 20 - 30 N/A - N/A U1 x good good poor U1 U1 = U1 = noChange noChange 4300 b 7.26
91G0 - Pannonic woods with Quercus petraea and Carpinus betulus SK ALP 9459.71 34.32 = ≈ N/A N/A 46 estimate b 28.92 = ≈ 4.71 - 4.71 2.89 - 2.89 38.40 - 38.40 FV u good good good FV FV = FV N/A N/A N/A 9500 b 56.21
91G0 - Pannonic woods with Quercus petraea and Carpinus betulus DE CON 1331 1.35 = ≈ 0.92 0.93 0.93 estimate b 0.05 - > 0.68 - 0.80 0.13 - 0.24 N/A - N/A U1 = unk poor poor U1 U1 - U1 x noChange method 1200 c 2.03
91G0 - Pannonic woods with Quercus petraea and Carpinus betulus BG ALP 18100 65.68 = 18100 N/A N/A 113.05 estimate a 71.08 = 113.05 112.90 - 112.90 0.15 - 0.15 N/A - N/A FV = good good good FV FV + U1 = method method 7400 a 43.79
91G0 - Pannonic woods with Quercus petraea and Carpinus betulus SK PAN 9427.71 21.94 = ≈ N/A N/A 79 estimate b 7.02 + > 4.07 - 4.07 3.97 - 3.97 70.96 - 70.96 U1 u good poor poor U1 U1 = U1 = N/A N/A 9900 b 23.02
91G0 - Pannonic woods with Quercus petraea and Carpinus betulus HU PAN 28448 66.20 = ≈ 900 1100 N/A estimate b 88.89 = ≈ 400 - 525 415 - 455 85 - 120 U2 u good poor poor U1 U2 = U1 = method noChange 30300 b 70.47
91G0 - Pannonic woods with Quercus petraea and Carpinus betulus BG CON 81800 83.27 = 81800 N/A N/A 1547.03 estimate a 89.35 = 1547.03 1547.03 - 1547.03 N/A - N/A N/A - N/A FV = good good good FV FV + U1 = method method 50900 a 85.98
91G0 - Pannonic woods with Quercus petraea and Carpinus betulus AT ALP 700 0 = ≈ 1 10 N/A minimum b 0 x N/ N/A - N/A N/A - N/A N/A - N/A N/A N/A N/A N/A N/A N/A N/A N U1 = N/A N/A N/A b 0
91H0 - Pannonian woods with Quercus pubescens CZ PAN 3200 12.71 = ≈ N/A N/A 0.99 estimate a 0.30 = ≈ 0.52 - 0.52 0.46 - 0.46 0.01 - 0.01 U2 - good poor poor U2 U2 - U2 - genuine genuine 700 a 3
91H0 - Pannonian woods with Quercus pubescens BG CON 53500 70.58 = 53500 N/A N/A 379.84 estimate a 92.08 = 379.84 379.15 - 379.15 0.68 - 0.68 N/A - N/A FV = poor poor poor U1 U1 + U1 = noChange method 30900 a 76.49
91H0 - Pannonian woods with Quercus pubescens BG BLS 3800 100 = 3800 N/A N/A 4.66 estimate a 100 = 4.66 4.66 - 4.66 N/A - N/A N/A - N/A FV = poor poor poor U1 U1 + U1 = noChange method 1300 a 100
91H0 - Pannonian woods with Quercus pubescens BG ALP 9700 23.83 = 9700 N/A N/A 24.11 estimate a 12.26 = 24.11 24.11 - 24.11 N/A - N/A N/A - N/A FV = poor poor poor U1 U1 + U1 = noChange method 2400 a 9.96
91H0 - Pannonian woods with Quercus pubescens SK ALP 9505.19 23.35 = ≈ N/A N/A 63 estimate b 32.03 + ≈ 6.42 - 6.42 3.93 - 3.93 52.65 - 52.65 FV u good good good FV FV = U1 = knowledge N/A 9600 b 39.83
91H0 - Pannonian woods with Quercus pubescens SK PAN 2988.73 11.87 = ≈ N/A N/A 21 estimate b 6.33 + ≈ 2.85 - 2.85 2.74 - 2.74 15.41 - 15.41 U1 u good poor poor U1 U1 = FV N/A knowledge N/A 3100 b 13.30
91H0 - Pannonian woods with Quercus pubescens AT ALP 1900 4.67 = ≈ N/A N/A 0.42 estimate a 0.21 = > 0.42 - 0.42 N/A - N/A N/A - N/A FV = good poor good U1 U1 = U1 - noChange knowledge 1000 a 4.15
91H0 - Pannonian woods with Quercus pubescens HU PAN 18986 75.42 = ≈ 300 320 N/A estimate a 93.38 = ≈ 190 - 200 70 - 75 40 - 45 U1 u good good poor U1 U1 = U1 = noChange noChange 19500 b 83.69
91H0 - Pannonian woods with Quercus pubescens RO CON 1600 2.11 = ≈ N/A N/A 7.50 estimate a 1.82 = > N/A - N/A N/A - N/A N/A - 7.50 XX x good good good FV U1 = U1 = N/A N/A 1500 a 3.71
91H0 - Pannonian woods with Quercus pubescens AT CON 7300 9.63 = ≈ N/A N/A 0.65 estimate a 0.16 = > 0.64 - 0.64 0.01 - 0.01 N/A - N/A FV = good poor good U1 U1 = U1 = noChange noChange 2400 a 5.94
91H0 - Pannonian woods with Quercus pubescens HR CON 2200 2.90 = ≈ N/A N/A 16.99 interval b 4.12 = ≈ 16.99 - 16.99 N/A - N/A N/A - N/A FV = good good good FV FV = N/A N/A noChange noChange N/A a 0
91H0 - Pannonian woods with Quercus pubescens IT ALP 19600 48.15 + > 68.77 149.60 N/A estimate b 55.50 - >> 3.20 - 3.20 0.30 - 0.30 0.35 - 0.35 U2 - poor bad bad U2 U2 - U2 - noChange noChange 11100 b 46.06
91H0 - Pannonian woods with Quercus pubescens CZ CON 11200 14.78 = ≈ N/A N/A 7.52 estimate a 1.82 = ≈ 6.26 - 6.26 0.38 - 0.38 0.88 - 0.88 U1 - good poor poor U1 U2 - U2 - genuine genuine 5600 a 13.86
91I0 - Euro-Siberian steppic woods with Quercus spp. PL CON 63400 32.48 = ≈ N/A N/A 94 estimate b 4.90 = ≈ 24.20 - 76.50 17.50 - 69.80 N/A - N/A U1 - good good poor U1 U1 - U2 = knowledge knowledge 26500 b 25.70
91I0 - Euro-Siberian steppic woods with Quercus spp. SK ALP 10438.05 70.82 = ≈ N/A N/A 32 estimate b 83.96 = ≈ 4.07 - 4.07 3.62 - 3.62 24.31 - 24.31 U1 u good poor poor U1 U1 = FV N/A knowledge N/A 10400 b 87.39
91I0 - Euro-Siberian steppic woods with Quercus spp. SK PAN 7241.58 18.12 = ≈ N/A N/A 10 estimate b 7.19 = ≈ 1 - 1 1.33 - 1.33 7.67 - 7.67 U1 u good poor poor U1 U1 = U2 = knowledge N/A 8700 b 25.74
91I0 - Euro-Siberian steppic woods with Quercus spp. HU PAN 21014 52.59 = > 50 56 N/A estimate b 38.12 = >> 16 - 18 28 - 30 6 - 8 U2 - poor bad bad U2 U2 - U2 - noChange noChange 21500 b 63.61
91I0 - Euro-Siberian steppic woods with Quercus spp. RO STE 35300 100 = ≈ N/A N/A 748 estimate a 100 = ≈ 648 - 648 100 - 100 N/A - N/A U1 = good good poor U1 U2 = U2 = N/A N/A 13800 a 100
91I0 - Euro-Siberian steppic woods with Quercus spp. RO PAN 6300 15.77 = ≈ N/A N/A 52 estimate b 37.40 = > 46 - 46 5 - 5 N/A - N/A FV = good good good FV U1 = U1 = N/A N/A 1500 a 4.44
91I0 - Euro-Siberian steppic woods with Quercus spp. RO CON 55600 28.48 = ≈ N/A N/A 619 estimate a 32.26 = ≈ 559 - 559 59 - 59 N/A - N/A FV = good good good FV FV = U2 = N/A N/A 22000 a 21.34
91I0 - Euro-Siberian steppic woods with Quercus spp. AT CON 3800 1.95 = > N/A N/A 9.10 estimate a 0.47 = >> 8.69 - 8.69 0.41 - 0.41 N/A - N/A FV = poor bad good U2 U2 = U2 = noChange noChange 2800 a 2.72
91I0 - Euro-Siberian steppic woods with Quercus spp. CZ CON 29100 14.91 = ≈ N/A N/A 37.13 estimate a 1.93 = ≈ 28 - 28 2.92 - 2.92 6.20 - 6.20 U1 - good poor poor U1 U2 - U2 - genuine genuine 16400 a 15.91
91I0 - Euro-Siberian steppic woods with Quercus spp. CZ PAN 5400 13.52 = ≈ N/A N/A 24.05 estimate a 17.30 = ≈ 19.99 - 19.99 3.64 - 3.64 0.41 - 0.41 U1 - good poor poor U1 U2 - U2 - genuine genuine 2100 a 6.21
91I0 - Euro-Siberian steppic woods with Quercus spp. BG ALP 4300 29.18 = 4300 N/A N/A 6.11 estimate a 16.04 = 6.11 6.11 - 6.11 N/A - N/A N/A - N/A FV = poor poor poor U1 U1 + U1 = noChange method 1500 a 12.61
91I0 - Euro-Siberian steppic woods with Quercus spp. BG CON 43300 22.18 = 43300 N/A N/A 1159.71 estimate a 60.44 = 1159.71 1159.71 - 1159.71 N/A - N/A N/A - N/A FV = poor poor poor U1 U1 + U1 = noChange method 35400 a 34.34
91I0 - Euro-Siberian steppic woods with Quercus spp. BG BLS 3400 100 = 3400 N/A N/A 89.90 estimate a 100 = 89.90 89.90 - 89.90 N/A - N/A N/A - N/A FV = poor poor poor U1 U1 + U1 = noChange method 2300 a 100
91J0 - Taxus baccata woods of the British Isles IE ATL 700 5.99 = 1200 N/A N/A 0.83 estimate a 6.23 = 1.32 0.29 - 0.29 0.54 - 0.54 N/A - N/A U2 = bad bad bad U2 U2 = U2 + noChange knowledge 700 a 15.22
91J0 - Taxus baccata woods of the British Isles UK ATL 10982.45 94.01 = 10982.45 N/A N/A 12.50 estimate c 93.77 = 12.50 4.90 - 4.90 7.37 - 7.37 0.23 - 0.23 U2 = good good bad U2 U2 = U2 = noChange noChange 3900 b 84.78
91K0 - Illyrian Fagus sylvatica forests (Aremonio-Fagion) AT CON 200 0 = N/ 0.03 1 N/A estimate b 0 N N/ N/A - N/A N/A - N/A N/A - N/A N/A N/A N/A N/A N/A N/A N/A N N/A N/A N/A N/A N/A b 0
91K0 - Illyrian Fagus sylvatica forests (Aremonio-Fagion) SI CON 9050 24.30 = ≈ N/A N/A 2653 estimate b 37.16 = ≈ 1900 - 2200 453 - 753 N/A - N/A FV = good good good FV FV = FV N/A noChange noChange 9000 b 27.86
91K0 - Illyrian Fagus sylvatica forests (Aremonio-Fagion) RO ALP 2600 5.34 = ≈ N/A N/A 255 estimate a 3.15 = ≈ 242 - 242 3 - 3 N/A - N/A FV = good good good FV FV = FV N/A N/A N/A 1300 a 3.44
91K0 - Illyrian Fagus sylvatica forests (Aremonio-Fagion) HR MED 3500 100 = ≈ N/A N/A 2257.45 estimate a 100 = ≈ 2257.45 - 2257.45 N/A - N/A N/A - N/A FV = good good good FV FV = N/A N/A noChange noChange 2200 a 100
91K0 - Illyrian Fagus sylvatica forests (Aremonio-Fagion) HR ALP 11500 23.61 = ≈ N/A N/A 3525.95 estimate a 43.49 = ≈ 3525.95 - 3525.95 N/A - N/A N/A - N/A FV = good good good FV FV = N/A N/A noChange noChange 8900 a 23.54
91K0 - Illyrian Fagus sylvatica forests (Aremonio-Fagion) HR CON 16600 44.56 = ≈ N/A N/A 3304.85 estimate a 46.29 = ≈ 3304.85 - 3304.85 N/A - N/A N/A - N/A FV = good good good FV FV = N/A N/A noChange noChange 15200 a 47.06
91K0 - Illyrian Fagus sylvatica forests (Aremonio-Fagion) IT ALP 22000 45.16 + ≈ 1515.87 1713.73 N/A estimate b 19.92 + ≈ 573.40 - 573.40 15.75 - 15.75 0.88 - 0.88 U1 - good good good FV U1 = U1 - noChange knowledge 17900 b 47.35
91K0 - Illyrian Fagus sylvatica forests (Aremonio-Fagion) HU PAN 8300 100 = ≈ 240 300 N/A estimate b 100 = ≈ 155 - 170 55 - 75 30 - 55 U1 u good poor poor U1 U1 = U1 = noChange noChange 8600 b 100
91K0 - Illyrian Fagus sylvatica forests (Aremonio-Fagion) AT ALP 6500 13.34 = ≈ 386 484 N/A estimate a 5.37 + ≈ N/A - N/A N/A - N/A 386 - 484 U1 x good good poor U1 U1 + U2 + method genuine 3500 b 9.26
91K0 - Illyrian Fagus sylvatica forests (Aremonio-Fagion) SI ALP 6116 12.55 = ≈ N/A N/A 2277 estimate b 28.08 = ≈ 1500 - 1857 420 - 777 N/A - N/A U1 = good good unk FV U1 = FV N/A genuine noChange 6200 b 16.40
91K0 - Illyrian Fagus sylvatica forests (Aremonio-Fagion) RO CON 11600 31.14 = ≈ N/A N/A 1182 estimate a 16.55 = ≈ 1117 - 1117 65 - 65 N/A - N/A FV = good good good FV FV = FV N/A N/A N/A 8100 a 25.08
91L0 - Illyrian oak-hornbeam forests (Erythronio-carpinion) AT ALP 1000 3.54 = > N/A N/A 2.07 estimate a 0.71 x >> N/A - N/A N/A - N/A 2.07 - 2.07 XX x poor bad unk U2 U2 x U2 x noChange noChange 900 a 5.77
91L0 - Illyrian oak-hornbeam forests (Erythronio-carpinion) RO CON 30600 27.65 = ≈ N/A N/A 649 estimate a 20.75 = ≈ 596 - 596 53 - 53 N/A - N/A FV = good good good FV FV = FV N/A N/A N/A 18800 a 28.06
91L0 - Illyrian oak-hornbeam forests (Erythronio-carpinion) SI ALP 1426 5.05 = ≈ N/A N/A 31 estimate b 10.59 = > 22 - 26 5 - 9 N/A - N/A U1 = good poor poor U1 U1 = U1 = noChange noChange 1300 b 8.33
91L0 - Illyrian oak-hornbeam forests (Erythronio-carpinion) SI CON 8587 7.76 = ≈ N/A N/A 646 estimate c 20.65 = ≈ 480 - 550 96 - 166 N/A - N/A U1 = good poor poor U1 U1 = U1 = noChange noChange 9100 b 13.58
91L0 - Illyrian oak-hornbeam forests (Erythronio-carpinion) HR CON 19800 17.89 = ≈ N/A N/A 1589.57 estimate a 50.81 = ≈ 1589.57 - 1589.57 N/A - N/A N/A - N/A FV = good good good FV FV = N/A N/A noChange knowledge 19200 a 28.66
91L0 - Illyrian oak-hornbeam forests (Erythronio-carpinion) AT CON 3500 3.16 = > 15 50 N/A estimate c 1.04 x >> 3 - 3 1.40 - 1.40 10.60 - 45.60 U2 x poor bad bad U2 U2 x U2 x noChange noChange 1400 a 2.09
91L0 - Illyrian oak-hornbeam forests (Erythronio-carpinion) IT CON 48200 43.55 + ≈ 155.57 266.67 N/A estimate b 6.75 - > 76.13 - 76.13 6.78 - 6.78 0.96 - 0.96 U1 - good poor poor U1 U1 - U1 = noChange knowledge 18500 b 27.61
91L0 - Illyrian oak-hornbeam forests (Erythronio-carpinion) HR ALP 4200 14.88 = ≈ N/A N/A 139.64 estimate a 47.72 = ≈ 125.64 - 125.64 14 - 14 N/A - N/A FV = good good good FV FV = N/A N/A noChange noChange 3900 a 25
91L0 - Illyrian oak-hornbeam forests (Erythronio-carpinion) HU PAN 15517 100 = ≈ 245 460 N/A estimate b 100 = ≈ 120 - 190 85 - 155 40 - 115 U2 u good poor poor U1 U2 = U1 = method noChange 16500 b 100
91L0 - Illyrian oak-hornbeam forests (Erythronio-carpinion) IT MED 37300 100 + ≈ 162.63 443.52 N/A estimate b 100 u > 50.20 - 50.20 3.69 - 3.69 0.39 - 0.39 U1 x good poor poor U1 U1 = U1 x noChange noChange 17100 b 100
91L0 - Illyrian oak-hornbeam forests (Erythronio-carpinion) RO ALP 3500 12.40 x x N/A N/A 0.30 minimum c 0.10 x x N/A - N/A N/A - N/A N/A - 0.30 XX x unk unk unk XX XX N/A N/A N/A N/A 600 a 3.85
91L0 - Illyrian oak-hornbeam forests (Erythronio-carpinion) IT ALP 18100 64.13 + ≈ 89.95 149.29 N/A estimate b 40.88 - >> 38.38 - 38.38 1.30 - 1.30 1.78 - 1.78 U1 - good bad poor U2 U2 - U2 - noChange noChange 8900 b 57.05
91M0 - Pannonian-Balkanic turkey oak-sessile oak forests IT CON 12500 6.86 + ≈ 74.23 792.19 N/A estimate b 3.95 u ≈ 68.78 - 68.78 5.30 - 5.30 0.14 - 0.14 FV u unk unk unk XX FV = U1 x noChange knowledge 6100 b 4.31
91M0 - Pannonian-Balkanic turkey oak-sessile oak forests BG CON 93400 51.23 + 93400 N/A N/A 5397.50 estimate a 49.19 + 5397.50 5397.42 - 5397.42 0.08 - 0.08 N/A - N/A FV = good good good FV FV + U1 = method method 74600 a 52.72
91M0 - Pannonian-Balkanic turkey oak-sessile oak forests HU PAN 37366 87.19 = ≈ 1165 1300 N/A estimate b 94.63 = ≈ 430 - 450 585 - 640 150 - 210 U2 u good good poor U1 U2 = U1 - method method 38800 b 87.78
91M0 - Pannonian-Balkanic turkey oak-sessile oak forests BG BLS 9300 100 = 9300 N/A N/A 1456.53 estimate a 100 = 1456.53 1456.53 - 1456.53 N/A - N/A N/A - N/A FV = good good good FV FV + U1 = method method 7000 a 100
91M0 - Pannonian-Balkanic turkey oak-sessile oak forests BG ALP 23300 84.27 = 23300 N/A N/A 106.86 estimate a 78 = 106.86 106.83 - 106.83 0.04 - 0.04 N/A - N/A FV = good good good FV FV + U1 = method method 8200 a 65.08
91M0 - Pannonian-Balkanic turkey oak-sessile oak forests GR MED 30330 27.39 = ≈ N/A N/A 10773 estimate b 76.22 = ≈ 9695.70 - 9695.70 N/A - N/A 1077.30 - 1077.30 FV = good good good FV FV = FV N/A noChange noChange 64400 b 53.58
91M0 - Pannonian-Balkanic turkey oak-sessile oak forests RO STE 4800 100 = ≈ N/A N/A 71 estimate a 100 = ≈ 66 - 66 5 - 5 N/A - N/A FV = good good good FV FV = U1 N/A N/A N/A 1700 a 100
91M0 - Pannonian-Balkanic turkey oak-sessile oak forests RO CON 72800 39.93 = ≈ N/A N/A 5016 estimate a 45.72 = ≈ 4755 - 4755 261 - 261 N/A - N/A FV = good good good FV FV = FV N/A N/A N/A 57500 a 40.64
91M0 - Pannonian-Balkanic turkey oak-sessile oak forests HR CON 100 0.05 = ≈ N/A N/A 0.26 estimate a 0 = ≈ 0.26 - 0.26 N/A - N/A N/A - N/A FV = good good good FV FV = N/A N/A noChange noChange 100 a 0.07
91M0 - Pannonian-Balkanic turkey oak-sessile oak forests HR ALP 100 0.36 = ≈ N/A N/A 0.14 estimate c 0.10 = ≈ 0.14 - 0.14 N/A - N/A N/A - N/A FV = good good good FV FV = N/A N/A noChange noChange 100 a 0.79
91M0 - Pannonian-Balkanic turkey oak-sessile oak forests IT MED 80400 72.61 + ≈ 1416.90 5304.56 N/A estimate b 23.78 u > 746.24 - 746.24 28.23 - 28.23 10.50 - 10.50 U1 x good poor poor U1 U1 = U1 x noChange noChange 55800 b 46.42
91M0 - Pannonian-Balkanic turkey oak-sessile oak forests SK ALP 3550.40 12.84 = > N/A N/A 15 estimate b 10.95 + ≈ 3.92 - 3.92 2.78 - 2.78 8.30 - 8.30 U1 u good poor poor U1 U1 = U1 = N/A N/A 3700 b 29.37
91M0 - Pannonian-Balkanic turkey oak-sessile oak forests SK PAN 5489.35 12.81 = ≈ N/A N/A 70 estimate b 5.37 - > 2.31 - 2.31 6.10 - 6.10 61.59 - 61.59 U1 u good poor poor U1 U1 x U1 = N/A N/A 5400 b 12.22
91M0 - Pannonian-Balkanic turkey oak-sessile oak forests AT CON 3500 1.92 = > 100 150 N/A estimate b 1.14 x > 93 - 140 7 - 10 N/A - N/A U1 x poor poor poor U1 U1 x U1 x noChange noChange 3200 a 2.26
91M0 - Pannonian-Balkanic turkey oak-sessile oak forests AT ALP 700 2.53 = ≈ 10 20 N/A minimum b 10.95 x > N/A - N/A N/A - N/A 10 - 20 XX x good poor poor U1 U1 x U1 x noChange noChange 600 a 4.76
91N0 - Pannonic inland sand dune thicket (Junipero-Populetum albae) SK PAN 91.23 1.35 = > N/A N/A 0.75 estimate b 1.40 - > N/A - N/A 0.36 - 0.36 0.39 - 0.39 U2 u good poor poor U1 U2 x U2 - N/A N/A 200 b 2.86
91N0 - Pannonic inland sand dune thicket (Junipero-Populetum albae) HU PAN 6686 98.65 = ≈ 50 56 N/A estimate b 98.60 - > 15 - 22 32 - 37 3 - 7 U2 - poor poor bad U2 U2 - U2 - noChange noChange 6800 b 97.14
91P0 - Holy Cross fir forests (Abietetum polonicum) PL CON 36100 100 = ≈ N/A N/A 185 estimate b 100 = ≈ 84 - 162 23 - 101 N/A - N/A U1 = good good good FV U1 = U1 = noChange noChange 20200 b 100
91Q0 - Western Carpathian calcicolous Pinus sylvestris forests PL ALP 1200 10.44 = ≈ N/A N/A 0.18 estimate a 0.58 = ≈ 0.13 - 0.18 N/A - 0.04 N/A - N/A FV = good good good FV FV = FV N/A noChange noChange 800 b 8
91Q0 - Western Carpathian calcicolous Pinus sylvestris forests SK ALP 7089.29 61.70 = ≈ N/A N/A 20 estimate b 64.98 + ≈ 4.85 - 4.85 1.21 - 1.21 13.93 - 13.93 FV u good good good FV FV = FV N/A N/A N/A 7100 b 71
91Q0 - Western Carpathian calcicolous Pinus sylvestris forests RO ALP 3200 27.85 = ≈ N/A N/A 10.60 estimate a 34.44 = ≈ N/A - N/A N/A - N/A N/A - 10.60 XX x good good good FV FV = FV N/A N/A N/A 2100 a 21
91R0 - Dinaric dolomite Scots pine forests (Genisto januensis-Pinetum) HR ALP 800 35.56 = ≈ N/A N/A 38.49 estimate a 60.63 = ≈ 38.49 - 38.49 N/A - N/A N/A - N/A FV = good good good FV FV = N/A N/A noChange noChange 800 a 33.33
91R0 - Dinaric dolomite Scots pine forests (Genisto januensis-Pinetum) SI CON 1631 100 = ≈ N/A N/A 22 estimate b 100 = ≈ 18 - 22 N/A - 4 N/A - N/A FV = good good good FV FV = FV N/A noChange noChange 1600 b 100
91R0 - Dinaric dolomite Scots pine forests (Genisto januensis-Pinetum) SI ALP 1450 64.44 = ≈ N/A N/A 25 estimate b 39.37 = ≈ 22 - 25 N/A - 3 N/A - N/A FV = good good good FV FV = FV N/A noChange noChange 1600 b 66.67
91S0 - Western Pontic beech forests BG CON 4600 100 = 4600 N/A N/A 47.63 estimate a 100 = 47.63 47.63 - 47.63 N/A - N/A N/A - N/A FV = good good good FV FV + U1 = method method 2400 a 100
91S0 - Western Pontic beech forests BG BLS 5500 100 = 5500 N/A N/A 220.39 estimate a 100 = 220.39 220.39 - 220.39 N/A - N/A N/A - N/A FV = good good good FV FV + U1 = method method 4100 a 100
91T0 - Central European lichen Scots pine forests DE ATL 388 100 = >> 0.15 0.32 0.24 estimate b 100 - >> 0.16 - 0.16 0.08 - 0.08 N/A - N/A U2 x bad bad bad U2 U2 - U2 - noChange noChange 200 b 100
91T0 - Central European lichen Scots pine forests CZ CON 6200 4.47 = ≈ N/A N/A 2.63 estimate a 1.50 = ≈ 0.62 - 0.62 0.03 - 0.03 1.98 - 1.98 U1 - poor poor poor U2 U2 - U2 = noChange noChange 4300 a 5.99
91T0 - Central European lichen Scots pine forests LT BOR 7563.83 48.85 = 7563.83 N/A N/A 71.86 estimate a 73.88 u > N/A - N/A N/A - N/A 71.86 - 71.86 U1 - good bad poor U2 U2 x U1 - knowledge knowledge 9200 a 63.89
91T0 - Central European lichen Scots pine forests SK PAN 302.08 100 - > N/A N/A 4 estimate b 100 - > N/A - N/A N/A - N/A 4 - 4 U1 u poor unk unk XX U2 - U2 - N/A N/A 400 b 100
91T0 - Central European lichen Scots pine forests LV BOR 7919 51.15 x x 24.81 26 N/A estimate b 26.12 x x 22.33 - 23.40 2.48 - 2.60 N/A - N/A U1 x good poor poor U1 U1 x N/A N/A knowledge knowledge 5200 a 36.11
91T0 - Central European lichen Scots pine forests DE CON 11616 8.38 - 12750 6.41 6.89 6.65 estimate a 3.79 - >> 2.30 - 2.55 1.75 - 2.40 1.92 - 1.95 U2 - poor bad bad U2 U2 - U2 - noChange noChange 8300 b 11.56
91T0 - Central European lichen Scots pine forests PL CON 120800 87.15 = ≈ N/A N/A 166 estimate b 94.71 - ≈ 36.90 - 97.50 68.50 - 129.20 N/A - N/A U2 - good poor bad U2 U2 - U2 - noChange noChange 59200 b 82.45
91U0 - Sarmatic steppe pine forest DE CON 11463 74.61 = > 6.09 6.38 6.24 estimate b 68.11 - >> 2.54 - 2.82 3.07 - 3.41 0.13 - 0.15 U2 - unk bad bad U2 U2 - U2 - noChange noChange 8200 a 75.23
91U0 - Sarmatic steppe pine forest CZ CON 3900 25.39 = ≈ N/A N/A 2.92 estimate a 31.89 = ≈ 1.91 - 1.91 0.16 - 0.16 0.86 - 0.86 U1 = good good poor U1 U1 = U1 = genuine genuine 2700 a 24.77
91V0 - Dacian Beech forests (Symphyto-Fagion) RO CON 40000 100 = ≈ N/A N/A 1677 estimate a 100 = ≈ 1628 - 1628 49 - 49 N/A - N/A FV = good good good FV FV = FV N/A N/A N/A 16800 a 100
91V0 - Dacian Beech forests (Symphyto-Fagion) RO ALP 62100 100 = ≈ N/A N/A 13787 estimate a 100 = ≈ 13208 - 13208 579 - 579 N/A - N/A FV = good good good FV FV = FV N/A N/A N/A 45100 a 100
91W0 - Moesian beech forests BG ALP 25500 100 = 25500 N/A N/A 1018.76 estimate a 100 = 1018.76 1018.72 - 1018.72 0.04 - 0.04 N/A - N/A FV = good good good FV FV = U1 = method method 13600 a 100
91W0 - Moesian beech forests BG CON 49500 100 = 49500 N/A N/A 1105.16 estimate a 100 = 1105.16 1105.16 - 1105.16 N/A - N/A N/A - N/A FV = good good good FV FV = U1 = method method 29100 a 100
91X0 - Dobrogean beech forests RO STE 2 100 = > N/A N/A 1.60 estimate a 100 = > N/A - N/A N/A - N/A N/A - 1.60 XX x poor poor poor U1 U1 = U1 = N/A N/A 100 a 100
91Y0 - Dacian oak & hornbeam forests RO CON 130100 100 = ≈ N/A N/A 4932 estimate a 100 = > 4779 - 4779 153 - 153 N/A - N/A FV = good good good FV U1 = U1 = N/A N/A 92200 a 100
91Y0 - Dacian oak & hornbeam forests RO STE 11800 100 = ≈ N/A N/A 782 estimate a 100 = > 750 - 750 31 - 31 N/A - N/A FV = good good good FV U1 = U1 = N/A N/A 6700 a 100
91Z0 - Moesian silver lime woods BG BLS 5400 100 = 5400 N/A N/A 7.78 estimate a 100 = 7.78 7.78 - 7.78 N/A - N/A N/A - N/A FV = unk good good FV FV + U1 = method method 2400 a 100
91Z0 - Moesian silver lime woods BG ALP 13000 100 = 13000 N/A N/A 5.99 estimate a 100 = 5.99 5.99 - 5.99 N/A - N/A N/A - N/A FV = good good good FV FV + U1 = method method 2400 a 100
91Z0 - Moesian silver lime woods BG CON 81400 100 = 81400 N/A N/A 375.37 estimate a 100 = 375.37 375.37 - 375.37 N/A - N/A N/A - N/A FV = unk good good FV FV + U1 = method method 41200 a 100
9210 - Apennine beech forests with Taxus and Ilex IT CON 21100 100 + ≈ 546.20 2134.27 N/A estimate b 100 - >> 231.35 - 231.35 10.92 - 10.92 0.73 - 0.73 U1 - good poor poor U1 U2 - U1 = knowledge knowledge 10800 b 100
9210 - Apennine beech forests with Taxus and Ilex IT MED 64000 100 + ≈ 1313.11 1454.12 N/A estimate b 100 = ≈ 1237.84 - 1237.84 28.66 - 28.66 16.81 - 16.81 FV u unk unk unk XX FV = FV N/A noChange noChange 37700 b 100
9210 - Apennine beech forests with Taxus and Ilex IT ALP 5100 100 = ≈ 389.20 705.84 N/A estimate b 100 - > 389.20 - 389.20 N/A - N/A N/A - N/A FV = good poor good FV U1 - FV N/A knowledge knowledge 3100 b 100
9220 - Apennine beech forests with Abies alba and beech forests with Abies nebrodensis IT CON 8300 100 + ≈ 39.20 53.95 N/A estimate b 100 + ≈ 34.92 - 34.92 2.67 - 2.67 0.41 - 0.41 FV u unk unk unk XX FV = FV N/A noChange noChange 4000 b 100
9220 - Apennine beech forests with Abies alba and beech forests with Abies nebrodensis IT ALP 3400 100 + ≈ 35.38 36.92 N/A estimate b 100 = ≈ 35.38 - 35.38 N/A - N/A N/A - N/A FV = good good poor U1 U1 + FV N/A knowledge knowledge 700 b 100
9220 - Apennine beech forests with Abies alba and beech forests with Abies nebrodensis IT MED 21400 100 + ≈ 135 392.92 N/A estimate b 100 u ≈ 204.90 - 204.90 0.83 - 0.83 0.68 - 0.68 FV u unk unk unk XX FV = FV N/A noChange noChange 9400 b 100
9230 - Galicio-Portuguese oak woods with Quercus robur and Quercus pyrenaica ES ATL 65100 67.88 = ≈ N/A N/A 1574.45 estimate b 23.83 = x 257.94 - 298.19 318.40 - 318.40 956.49 - 998.11 U1 x good poor unk U1 U1 = XX N/A knowledge knowledge 47200 b 73.52
9230 - Galicio-Portuguese oak woods with Quercus robur and Quercus pyrenaica ES MED 254600 86.01 = x N/A N/A 6547.81 estimate b 100 + > 3633.82 - 3637.78 2028.05 - 2028.21 838.05 - 885.90 U1 = unk good good FV U1 + XX N/A knowledge knowledge 87600 b 76.17
9230 - Galicio-Portuguese oak woods with Quercus robur and Quercus pyrenaica FR ATL 24600 25.65 = ≈ 63 10000 N/A minimum c 76.17 = < 63 - 10000 63 - 10000 63 - 10000 FV x good good poor U1 U1 = XX N/A knowledge noChange 12200 b 19
9230 - Galicio-Portuguese oak woods with Quercus robur and Quercus pyrenaica PT ATL 6200 6.47 = ≈ N/A N/A N/A d 0 = > N/A - N/A N/A - N/A N/A - N/A U2 - good good bad U2 U2 - U1 + knowledge knowledge 4800 c 7.48
9230 - Galicio-Portuguese oak woods with Quercus robur and Quercus pyrenaica PT MED 41400 13.99 = ≈ N/A N/A N/A d 0 = ≈ N/A - N/A N/A - N/A N/A - N/A U2 - good good bad U2 U2 - U1 + knowledge knowledge 27400 c 23.83
9240 - Quercus faginea and Quercus canariensis Iberian woods ES ALP 9100 100 x > N/A N/A 102.70 estimate b 100 x > N/A - N/A N/A - N/A 102.70 - 102.70 XX x unk unk unk XX U1 x XX N/A knowledge noChange 2800 b 100
9240 - Quercus faginea and Quercus canariensis Iberian woods PT MED 13400 6.55 = ≈ N/A N/A N/A d 0 + ≈ N/A - N/A N/A - N/A N/A - N/A U2 = good good bad U2 U2 - U1 + knowledge knowledge 6400 c 5.40
9240 - Quercus faginea and Quercus canariensis Iberian woods ES ATL 13500 100 = ≈ N/A N/A 217 estimate b 100 = ≈ 20.04 - 20.05 42.27 - 42.27 154.69 - 154.69 U1 = good good good FV U1 = XX N/A knowledge knowledge 5400 b 100
9240 - Quercus faginea and Quercus canariensis Iberian woods ES MED 191200 93.45 x x N/A N/A 3125.29 estimate b 100 u > 367.67 - 367.81 465.78 - 465.93 1677.64 - 2291.84 XX u unk unk unk XX U1 x XX N/A noInfo noChange 112200 b 94.60
9250 - Quercus trojana woods IT MED 4100 81.98 = > 80.02 455.40 N/A estimate b 58.54 u > 401.13 - 401.13 0.69 - 0.69 N/A - N/A U1 u unk unk unk XX U1 x U1 - noChange method 3300 b 33.67
9250 - Quercus trojana woods GR MED 901 18.02 = ≈ N/A N/A 189.60 estimate b 41.46 = ≈ 170.64 - 170.64 N/A - N/A 18.96 - 18.96 FV = good good good FV FV = FV N/A noChange noChange 6500 b 66.33
9260 - Castanea sativa woods FR MED 19500 10.01 = ≈ 155 250 N/A estimate c 4.51 - ≈ 20 - 40 100 - 150 N/A - N/A U2 - unk bad bad U2 U2 - U2 = noChange noChange 11700 b 9.01
9260 - Castanea sativa woods ES ATL 40100 100 = ≈ N/A N/A 206.77 estimate b 100 = > 16.26 - 16.33 1.45 - 1.45 188.95 - 189.06 XX x good poor unk U1 U1 = U1 - noChange method 22300 b 100
9260 - Castanea sativa woods ES ALP 700 1.56 = ≈ N/A N/A 1.95 estimate b 0.09 - > N/A - N/A 1.72 - 1.72 0.23 - 0.23 U2 - good poor poor U1 U2 - N/A N/A knowledge knowledge 200 b 0.86
9260 - Castanea sativa woods FR ALP 1100 2.44 = x 16 16 N/A minimum c 0.71 = x N/A - N/A N/A - N/A 16 - 16 U1 x good unk poor U1 U1 = U2 - method noChange N/A b 0
9260 - Castanea sativa woods FR CON 3000 4.28 x x 1 50 14.70 estimate c 0.92 x x N/A - N/A N/A - N/A 14.70 - 14.70 XX x good unk unk XX XX x XX N/A noChange noChange 800 b 2
9260 - Castanea sativa woods RO CON 1000 1.43 = ≈ N/A N/A 6.40 estimate a 0.40 = ≈ N/A - N/A N/A - N/A N/A - 6.40 XX x unk unk unk XX U2 = U2 x method N/A 800 a 2
9260 - Castanea sativa woods BG ALP 3400 7.56 = 3400 N/A N/A 0.88 estimate a 0.04 = 0.88 0.88 - 0.88 N/A - N/A N/A - N/A FV = poor poor poor U1 U1 = U1 = method method 700 a 3
9260 - Castanea sativa woods RO ALP 700 1.56 = ≈ N/A N/A 0.10 estimate a 0 x > N/A - N/A N/A - N/A N/A - 0.10 XX x unk unk unk XX U2 x U2 - method N/A 100 a 0.43
9260 - Castanea sativa woods GR MED 2229 1.14 = ≈ N/A N/A 484.20 estimate b 10.79 = ≈ 435.78 - 435.78 N/A - N/A 48.42 - 48.42 FV = good good good FV FV = FV N/A noChange noChange 19000 b 14.63
9260 - Castanea sativa woods BG CON 5100 7.28 = 5100 N/A N/A 11.16 minimum b 0.70 = 11.16 11.16 - 11.16 N/A - N/A N/A - N/A FV = poor poor poor U1 U1 = U1 = method method 1300 a 3.25
9260 - Castanea sativa woods HR MED 2300 1.18 x ≈ 10 15 N/A interval b 0.28 = x 10 - 15 N/A - N/A N/A - N/A U1 = good good poor U1 U1 = N/A N/A noChange noChange 2300 a 1.77
9260 - Castanea sativa woods HR CON 6900 9.84 = ≈ N/A N/A 108.43 estimate a 6.80 = ≈ 108.43 - 108.43 N/A - N/A N/A - N/A U1 = good good poor U1 U1 = N/A N/A noChange noChange 6900 a 17.25
9260 - Castanea sativa woods IT ALP 39100 86.89 - ≈ 1803.77 2647.13 N/A estimate b 99.16 - ≈ 164.22 - 164.22 19.77 - 19.77 3.71 - 3.71 U1 - poor poor poor U1 U1 - U1 - noChange noChange 22300 b 95.71
9260 - Castanea sativa woods IT CON 54100 77.18 = ≈ 1145.67 1760.82 N/A estimate b 91.17 - ≈ 226.52 - 226.52 46.50 - 46.50 4.25 - 4.25 U1 - good poor poor U1 U1 - U1 - noChange noChange 30200 b 75.50
9260 - Castanea sativa woods IT MED 94900 48.71 = ≈ 1639.53 5051.25 N/A estimate b 74.52 u > 584.75 - 989.53 119.05 - 119.05 531 - 531 FV u unk unk unk XX U1 x U1 - noChange method 59300 b 45.65
9260 - Castanea sativa woods PT MED 22600 11.60 = ≈ N/A N/A N/A d 0 = ≈ N/A - N/A N/A - N/A N/A - N/A U1 = good good poor U1 U1 = XX N/A knowledge knowledge 11200 c 8.62
9260 - Castanea sativa woods ES MED 53300 27.36 = ≈ N/A N/A 444.61 estimate b 9.90 - x 121.55 - 204.76 185.26 - 210.64 136.54 - 137.80 U2 = unk poor bad U2 U2 - U2 - noChange noChange 26400 b 20.32
9270 - Hellenic beech forests with Abies borisii-regis BG ALP 3700 100 = 3700 N/A N/A 5.91 estimate a 100 = 5.91 5.91 - 5.91 N/A - N/A N/A - N/A FV = good good good FV FV + U1 = method method 1500 a 100
9270 - Hellenic beech forests with Abies borisii-regis BG CON 800 100 = 800 N/A N/A 0.01 estimate a 100 u 0.01 0.01 - 0.01 N/A - N/A N/A - N/A FV = good unk good FV FV = XX N/A method method 100 a 100
9270 - Hellenic beech forests with Abies borisii-regis GR MED 2245 100 = ≈ N/A N/A 564.23 minimum b 100 = ≈ 507.81 - 507.81 N/A - N/A 56.42 - 56.42 FV = good good good FV FV = FV N/A noChange noChange 9300 b 100
9280 - Quercus frainetto woods GR MED 3225 100 = ≈ N/A N/A 996 estimate b 100 = ≈ 896.40 - 896.40 N/A - N/A 99.60 - 99.60 FV = good good good FV FV = FV N/A noChange noChange 18200 b 100
9290 - Cupressus forests (Acero-Cupression) GR MED 993 86.12 = ≈ N/A N/A 434 estimate b 99.07 + ≈ 390.60 - 390.60 N/A - N/A 43.40 - 43.40 FV = good good good FV FV + FV N/A noChange method 8600 b 84.31
9290 - Cupressus forests (Acero-Cupression) CY MED 160 13.88 = ≈ N/A N/A 4.05 estimate a 0.93 = ≈ 3.38 - 3.38 0.68 - 0.68 N/A - N/A U1 = good good poor U1 U1 = FV N/A knowledge noChange 1600 a 15.69
92A0 - Salix alba and Populus alba galleries ES ATL 9700 100 - ≈ N/A N/A 1.72 estimate b 100 - > 0.56 - 0.56 0.40 - 0.52 0.64 - 0.76 U1 - unk poor poor U1 U1 - U1 - noChange noChange 3100 b 100
92A0 - Salix alba and Populus alba galleries FR ALP N/A 0 N/A N/ N/A N/A N/A N/A 0 N N/ N/A - N/A N/A - N/A N/A - N/A N/A N/A N/A N/A N/A N/A N/A N N/A N/A noChange noChange N/A b 0
92A0 - Salix alba and Populus alba galleries FR CON 1575 1.12 = >> 1 1 1 estimate d 0.12 x >> 0.42 - 1 0.58 - 1 N/A - 1 XX x poor bad bad U2 U2 x U2 x noChange noChange 1800 b 2.13
92A0 - Salix alba and Populus alba galleries FR MED 67200 9.93 = ≈ 180 220 N/A estimate c 11.02 - > 80 - 100 20 - 40 80 - 80 U1 - bad bad bad U2 U2 - U2 = noChange noChange 47800 b 10.28
92A0 - Salix alba and Populus alba galleries MT MED 9 0 = > N/A N/A 0.04 estimate a 0 = > 0 - 0 0.04 - 0.04 N/A - N/A U2 = poor poor bad U2 U2 = U2 = noChange noChange 200 a 0.04
92A0 - Salix alba and Populus alba galleries ES MED 416200 61.53 x x N/A N/A 865.44 estimate b 47.70 u x 165.53 - 166.94 86.32 - 87.84 612.07 - 613.59 U1 = unk unk unk XX U1 x U2 = knowledge knowledge 261400 b 56.22
92A0 - Salix alba and Populus alba galleries ES ALP 10700 59.44 x x N/A N/A 1.43 estimate b 5.49 x > N/A - N/A N/A - N/A 1.43 - 1.43 XX x unk unk unk XX XX U2 = noInfo noInfo 2500 b 29.76
92A0 - Salix alba and Populus alba galleries PT MED 62400 9.22 = ≈ N/A N/A N/A d 0 + ≈ N/A - N/A N/A - N/A N/A - N/A U1 + good good poor U1 U1 - U1 = noChange knowledge 32200 c 6.92
92A0 - Salix alba and Populus alba galleries IT MED 127900 18.91 + ≈ 210.56 751.88 N/A estimate b 26.52 u > 174.71 - 174.71 40.49 - 40.49 1.54 - 1.54 U2 x poor poor bad U2 U2 = U2 - noChange noChange 93600 b 20.13
92A0 - Salix alba and Populus alba galleries IT CON 55700 39.54 + ≈ 140.74 577.17 N/A estimate b 44.65 - >> 80.55 - 80.55 14.95 - 14.95 0.49 - 0.49 U1 - good bad bad U2 U2 - U2 - noChange noChange 42300 b 50.06
92A0 - Salix alba and Populus alba galleries IT ALP 7300 40.55 + ≈ 15.39 33.83 N/A estimate b 94.51 - > 14.55 - 14.55 0.88 - 0.88 N/A - N/A U1 = good poor good FV U1 = U1 - noChange knowledge 2800 b 33.33
92A0 - Salix alba and Populus alba galleries GR MED 2679 0.40 = ≈ N/A N/A 267.30 estimate b 14.73 = ≈ 240.57 - 240.57 N/A - N/A 26.73 - 26.73 FV = good good poor U1 U1 = U1 = noChange noChange 28500 b 6.13
92A0 - Salix alba and Populus alba galleries RO BLS 2400 36.36 = ≈ N/A N/A 18 estimate b 90.26 = ≈ 17 - 17 1 - 1 N/A - N/A FV = good good good FV FV = FV N/A N/A N/A 1500 a 78.95
92A0 - Salix alba and Populus alba galleries RO CON 40300 28.61 = ≈ N/A N/A 429 estimate a 53.36 = > 351 - 351 78 - 78 N/A - N/A U1 = good poor poor U1 U1 = U1 = N/A N/A 25100 a 29.70
92A0 - Salix alba and Populus alba galleries RO PAN 4500 100 = ≈ N/A N/A 10 estimate a 100 = ≈ N/A - N/A N/A - N/A N/A - 10 U1 x good good unk FV U1 = U1 = N/A N/A 2300 a 100
92A0 - Salix alba and Populus alba galleries RO STE 21700 100 = ≈ N/A N/A 632 estimate a 100 = ≈ 607 - 607 25 - 25 N/A - N/A FV = good good good FV FV = U1 = N/A N/A 14000 a 100
92A0 - Salix alba and Populus alba galleries CY MED 49 0.01 = ≈ N/A N/A 0.50 estimate b 0.03 = ≈ 0.07 - 0.07 0.43 - 0.43 N/A - N/A U2 = good good bad U2 U2 = FV N/A knowledge noChange 1300 b 0.28
92A0 - Salix alba and Populus alba galleries BG CON 43300 30.74 = 43300 N/A N/A 15 estimate a 1.87 - 15 14.68 - 14.68 N/A - N/A N/A - N/A FV = poor poor poor U1 U1 + U1 = method method 15300 a 18.11
92A0 - Salix alba and Populus alba galleries BG BLS 4200 63.64 = 4200 N/A N/A 1.94 estimate a 9.74 x 1.94 1.94 - 1.94 N/A - N/A N/A - N/A FV = poor poor poor U1 U1 = U1 = genuine method 400 a 21.05
92A0 - Salix alba and Populus alba galleries BG ALP 1 0.01 x x N/A N/A N/A minimum c 0 x x N/A - N/A N/A - N/A N/A - N/A XX x poor poor poor U1 U1 x U1 = method method 3100 a 36.90
92B0 - Riparian formations on intermittent Mediterranean water courses with Rhododendron ponticum, Salix and others PT MED 1600 23.53 = ≈ N/A N/A N/A d 0 = ≈ N/A - N/A N/A - N/A N/A - N/A U1 = good good poor U1 U1 - FV N/A noChange knowledge 1500 c 30.61
92B0 - Riparian formations on intermittent Mediterranean water courses with Rhododendron ponticum, Salix and others ES MED 5200 76.47 = ≈ N/A N/A 4.81 estimate b 100 u > 0.13 - 0.13 0.20 - 0.20 4.48 - 4.48 XX = good unk unk XX U1 = U1 x noChange knowledge 3400 b 69.39
92C0 - Platanus orientalis and Liquidambar orientalis woods (Platanion orientalis) BG CON 3900 100 = 3900 N/A N/A 4.60 estimate a 100 = 4.60 4.60 - 4.60 N/A - N/A N/A - N/A FV = poor poor poor U1 U1 + U1 = noChange method 2600 a 100
92C0 - Platanus orientalis and Liquidambar orientalis woods (Platanion orientalis) CY MED 948 8.18 = ≈ N/A N/A 21.52 estimate b 3.61 = ≈ 8.90 - 8.90 12.62 - 12.62 N/A - N/A U2 = good good bad U2 U2 = FV N/A method noChange 3500 b 5.15
92C0 - Platanus orientalis and Liquidambar orientalis woods (Platanion orientalis) BG ALP 1900 100 = 1900 N/A N/A 0.20 estimate a 100 = 0.20 0.20 - 0.20 N/A - N/A N/A - N/A FV = poor poor poor U1 U1 + U1 = method method 400 a 100
92C0 - Platanus orientalis and Liquidambar orientalis woods (Platanion orientalis) IT MED 5100 44.01 = > 21.64 26.03 N/A estimate c 4 = > 19.22 - 19.22 2.32 - 2.32 0.10 - 0.10 U1 u poor poor poor U1 U1 = U1 - noChange noChange 4200 b 6.19
92C0 - Platanus orientalis and Liquidambar orientalis woods (Platanion orientalis) GR MED 5540 47.81 = ≈ N/A N/A 551.10 estimate b 92.40 = ≈ 495.99 - 495.99 N/A - N/A 55.11 - 55.11 FV = good good good FV FV = FV N/A noChange noChange 60200 b 88.66
92D0 - Southern riparian galleries and thickets (Nerio-Tamaricetea and Securinegion tinctoriae) HR MED 100 0.02 = ≈ N/A N/A 0.01 estimate a 0 = ≈ 0.01 - 0.01 N/A - N/A N/A - N/A FV = good good good FV FV = N/A N/A noChange noChange 100 a 0.03
92D0 - Southern riparian galleries and thickets (Nerio-Tamaricetea and Securinegion tinctoriae) BG BLS 4200 76.36 = 4200 N/A N/A 1.94 estimate a 15.74 = 1.94 1.94 - 1.94 N/A - N/A N/A - N/A FV = poor poor poor U1 U1 = U1 = method method 200 a 22.22
92D0 - Southern riparian galleries and thickets (Nerio-Tamaricetea and Securinegion tinctoriae) CY MED 413 0.10 = ≈ N/A N/A 5.94 estimate b 0.41 = ≈ 2.43 - 2.43 3.51 - 3.51 N/A - N/A U2 = poor poor bad U2 U2 = FV N/A knowledge noChange 3300 b 1.10
92D0 - Southern riparian galleries and thickets (Nerio-Tamaricetea and Securinegion tinctoriae) GR MED 2255 0.55 = ≈ N/A N/A 137.60 estimate b 9.53 = ≈ 123.84 - 123.84 N/A - N/A 13.76 - 13.76 FV = good good good FV FV = FV N/A noChange noChange 32100 b 10.72
92D0 - Southern riparian galleries and thickets (Nerio-Tamaricetea and Securinegion tinctoriae) PT MED 37800 9.22 = ≈ N/A N/A N/A d 0 = ≈ N/A - N/A N/A - N/A N/A - N/A U1 = good good poor U1 U1 = U1 - knowledge knowledge 21000 c 7.01
92D0 - Southern riparian galleries and thickets (Nerio-Tamaricetea and Securinegion tinctoriae) FR MED 17600 4.29 = ≈ 2 6 N/A estimate c 0.28 - >> 1 - 3 N/A - N/A 2 - 3 U2 - unk bad bad U2 U2 - U2 - noChange noChange 11100 b 3.71
92D0 - Southern riparian galleries and thickets (Nerio-Tamaricetea and Securinegion tinctoriae) BG ALP 1 0 x x N/A N/A N/A minimum c 0 x x N/A - N/A N/A - N/A N/A - N/A XX x poor poor poor U1 U1 x XX N/A noChange noChange N/A a 0
92D0 - Southern riparian galleries and thickets (Nerio-Tamaricetea and Securinegion tinctoriae) MT MED 30 0.01 = > N/A N/A 0.24 estimate a 0.02 = > 0.17 - 0.17 0.08 - 0.08 N/A - N/A U2 = poor poor bad U2 U2 - U1 - knowledge noChange 600 a 0.20
92D0 - Southern riparian galleries and thickets (Nerio-Tamaricetea and Securinegion tinctoriae) IT MED 77600 18.92 + ≈ 55.17 204.27 N/A estimate c 8.98 u ≈ 37.69 - 37.69 10.90 - 10.90 12.27 - 12.27 U1 x good unk poor U1 U1 = U1 - noChange noChange 50500 b 16.86
92D0 - Southern riparian galleries and thickets (Nerio-Tamaricetea and Securinegion tinctoriae) BG CON 43300 100 = 43300 N/A N/A 14.68 estimate a 100 = 14.68 14.68 - 14.68 N/A - N/A N/A - N/A FV = poor poor poor U1 U1 = U1 = method method 500 a 100
92D0 - Southern riparian galleries and thickets (Nerio-Tamaricetea and Securinegion tinctoriae) ES MAC 665 100 = ≈ N/A N/A 6.07 estimate b 100 = ≈ 1.98 - 1.98 0.61 - 0.61 3.48 - 3.48 U1 - good good unk FV U1 - U1 = noChange knowledge 5300 b 100
92D0 - Southern riparian galleries and thickets (Nerio-Tamaricetea and Securinegion tinctoriae) ES MED 274300 66.89 u ≈ N/A N/A 1166.44 estimate b 80.78 u > 219.15 - 219.15 29.31 - 119.12 917.98 - 917.98 XX u unk unk unk XX U1 x U1 - noChange noInfo 180800 b 60.37
92D0 - Southern riparian galleries and thickets (Nerio-Tamaricetea and Securinegion tinctoriae) RO BLS 1300 23.64 = ≈ N/A N/A 10.40 estimate a 84.26 = ≈ N/A - N/A N/A - N/A N/A - 10.40 XX x good good unk FV FV = U1 = N/A N/A 700 a 77.78
92D0 - Southern riparian galleries and thickets (Nerio-Tamaricetea and Securinegion tinctoriae) RO STE 3200 100 + ≈ N/A N/A 40.20 estimate a 100 + > N/A - N/A N/A - N/A N/A - 40.20 XX x good good good FV U1 = U1 x N/A N/A 1800 a 100
9310 - Aegean Quercus brachyphylla woods GR MED 504 100 = ≈ N/A N/A 3.47 minimum b 100 = ≈ N/A - N/A 0.69 - 0.69 2.78 - 2.78 U1 + good good poor FV U1 + FV N/A knowledge knowledge 2000 b 100
9320 - Olea and Ceratonia forests HR MED 3600 3.11 = ≈ 100 300 N/A interval b 10.61 = < 100 - 300 N/A - N/A N/A - N/A XX = good good unk FV FV = N/A N/A noChange noChange 3400 a 3.68
9320 - Olea and Ceratonia forests GR MED 15789 13.65 = ≈ N/A N/A 383.87 minimum b 20.37 = ≈ 345.48 - 345.48 N/A - N/A 38.39 - 38.39 FV = good good good FV FV = FV N/A noChange noChange 24700 b 26.70
9320 - Olea and Ceratonia forests CY MED 3681 3.18 = ≈ N/A N/A 115.87 estimate a 6.15 = ≈ 69.52 - 69.52 46.35 - 46.35 N/A - N/A U2 = good good bad U2 U2 = FV N/A method noChange 4400 a 4.76
9320 - Olea and Ceratonia forests FR MED 8600 7.43 = x 3 31 N/A estimate c 0.90 = x 3 - 31 3 - 31 3 - 31 U1 u good good poor U1 U1 = U1 = noChange noInfo 6200 a 6.70
9320 - Olea and Ceratonia forests ES MED 42800 36.99 x x N/A N/A 712.36 estimate b 37.81 - x 444.25 - 536.94 131.50 - 182.32 45.44 - 136.60 U1 = poor bad bad U2 U2 x U1 x noInfo noChange 25800 b 27.89
9320 - Olea and Ceratonia forests PT MED 4900 4.24 = ≈ N/A N/A N/A d 0 = > N/A - N/A N/A - N/A N/A - N/A U1 = good good poor U1 U1 - U1 - noChange noChange 2700 c 2.92
9320 - Olea and Ceratonia forests UK MED 3 0 = 3 N/A N/A 2.25 estimate b 0.12 = 2.25 3 - 3 N/A - N/A N/A - N/A FV = good good good FV FV = FV N/A genuine genuine 100 c 0.11
9320 - Olea and Ceratonia forests ES MAC 895 49.86 = ≈ N/A N/A 58.97 estimate a 69.81 = ≈ 25.74 - 25.74 N/A - N/A 33.23 - 33.23 U1 = good good unk FV U1 = FV N/A method method 4600 b 77.97
9320 - Olea and Ceratonia forests IT MED 36300 31.38 + ≈ 151.88 753.29 N/A estimate b 24.02 u > 131.08 - 131.08 10.04 - 10.04 11.15 - 11.15 U1 u poor poor poor U1 U1 = U1 - noChange noChange 24700 b 26.70
9320 - Olea and Ceratonia forests PT MAC 900 50.14 = ≈ 21 30 N/A estimate c 30.19 = ≈ N/A - N/A N/A - N/A N/A - N/A XX x good poor unk U1 U1 - U1 - method method 1300 c 22.03
9320 - Olea and Ceratonia forests MT MED 24 0.02 = ≈ N/A N/A 0.31 estimate a 0.02 = ≈ 0.17 - 0.17 0.14 - 0.14 N/A - N/A U2 = good good bad U2 U2 = FV N/A knowledge noChange 500 a 0.54
9330 - Quercus suber forests ES ATL 7200 84.71 = x N/A N/A 3.59 estimate c 3.23 = > 0.39 - 2.05 0.15 - 0.90 1.39 - 3.04 XX = good poor unk U1 U1 = XX N/A knowledge knowledge 2600 b 70.27
9330 - Quercus suber forests PT MED 43500 20.35 = ≈ N/A N/A N/A d 0 - > N/A - N/A N/A - N/A N/A - N/A U2 - good poor bad U2 U2 - U1 - knowledge noChange 18500 c 14.45
9330 - Quercus suber forests IT MED 61300 28.68 + ≈ 524.31 2385.52 N/A estimate b 34.87 u ≈ 293.36 - 293.36 18.90 - 18.90 34.05 - 34.05 U1 u poor poor poor U1 U1 = U1 - noChange noChange 39000 b 30.47
9330 - Quercus suber forests FR MED 953 0.45 = x 48 203 N/A estimate c 3.01 = x 48 - 203 48 - 203 48 - 203 U1 u good good poor U1 U1 = U1 = noChange noInfo 9700 a 7.58
9330 - Quercus suber forests FR ATL 1300 15.29 = > 15 200 N/A minimum c 96.77 = > 15 - 200 15 - 200 15 - 200 U1 = poor poor poor U1 U1 = U2 - knowledge noChange 1100 a 29.73
9330 - Quercus suber forests ES MED 108000 50.53 = ≈ N/A N/A 2592.36 estimate b 62.13 - > 1012.71 - 1012.94 1217.63 - 1217.86 360.55 - 362.02 U2 - unk poor poor U1 U2 - XX N/A noInfo noInfo 60800 b 47.50
9340 - Quercus ilex and Quercus rotundifolia forests FR ATL 3500 9.21 = ≈ 50 100 N/A minimum c 15.24 = < N/A - N/A N/A - N/A 50 - 100 XX x good good unk FV FV = XX N/A noChange noChange 4200 b 18.10
9340 - Quercus ilex and Quercus rotundifolia forests FR MED 65300 9.29 + ≈ 1530 2000 N/A estimate c 6.57 + ≈ 1500 - 3000 N/A - 100 100 - 200 FV + good good good FV FV + FV N/A noChange noChange 48300 b 9.31
9340 - Quercus ilex and Quercus rotundifolia forests FR ALP 4500 17.44 = x 19 19 N/A estimate d 5.99 = x N/A - N/A N/A - N/A 19 - 19 FV = good good good FV FV = XX N/A noChange noChange 700 b 9.21
9340 - Quercus ilex and Quercus rotundifolia forests ES MED 395800 56.32 x ≈ N/A N/A 17788.54 estimate b 66.19 u ≈ 2564.98 - 2598.26 3956.65 - 3989.93 11266.90 - 11266.90 U1 u unk unk unk XX U1 x U1 - noChange noInfo 286800 b 55.29
9340 - Quercus ilex and Quercus rotundifolia forests ES ATL 34500 90.79 = ≈ N/A N/A 416.99 estimate b 84.76 = > 56.96 - 134.63 64.68 - 104.79 217.69 - 295.35 U1 = good good unk FV U1 = U1 x noChange knowledge 19000 b 81.90
9340 - Quercus ilex and Quercus rotundifolia forests ES ALP 12000 46.51 x ≈ N/A N/A 258.75 estimate b 81.61 x > 8.28 - 8.28 157.39 - 157.39 93.07 - 93.07 U2 x poor unk poor U1 U2 x U1 x noInfo noChange 4200 b 55.26
9340 - Quercus ilex and Quercus rotundifolia forests GR MED 12211 1.74 = ≈ N/A N/A 1837 estimate b 6.83 = ≈ 1653.30 - 1653.30 N/A - N/A 183.70 - 183.70 FV = good good good FV FV = FV N/A noChange noChange 33600 b 6.48
9340 - Quercus ilex and Quercus rotundifolia forests HR MED 12900 1.84 = ≈ N/A N/A 776.66 estimate a 2.89 = ≈ 776.66 - 776.66 N/A - N/A N/A - N/A FV = good good good FV FV = N/A N/A noChange noChange 12900 a 2.49
9340 - Quercus ilex and Quercus rotundifolia forests SI CON 378 1.10 = ≈ N/A N/A 0.40 estimate b 0.41 = > 0.40 - 0.40 N/A - N/A N/A - N/A FV = good poor good FV U1 = U1 = noChange noChange 600 b 3.82
9340 - Quercus ilex and Quercus rotundifolia forests PT MED 46700 6.64 = ≈ N/A N/A N/A d 0 = > N/A - N/A N/A - N/A N/A - N/A U1 = good good poor U1 U1 = U1 = noChange noChange 22800 c 4.40
9340 - Quercus ilex and Quercus rotundifolia forests MT MED 6 0 = > N/A N/A 0.03 estimate a 0 = > 0.02 - 0.02 0.01 - 0.01 N/A - N/A U2 = poor poor bad U2 U2 = U1 = knowledge noChange 400 a 0.08
9340 - Quercus ilex and Quercus rotundifolia forests IT ALP 9300 36.05 + ≈ 34.07 44.51 N/A estimate b 12.39 - > 16.02 - 16.02 1.98 - 1.98 0.92 - 0.92 U1 = good poor poor U1 U1 = U1 - noChange knowledge 2700 b 35.53
9340 - Quercus ilex and Quercus rotundifolia forests IT CON 34100 98.90 + ≈ 85.90 109.82 N/A estimate b 99.59 = ≈ N/A - N/A N/A - N/A 85.90 - 109.82 XX u good good unk FV FV = FV N/A noChange knowledge 15100 b 96.18
9340 - Quercus ilex and Quercus rotundifolia forests IT MED 169900 24.17 + ≈ 2420.84 6998.57 N/A estimate b 17.52 u > 2217.99 - 2217.99 127.64 - 127.64 50.48 - 50.48 U1 u poor poor poor U1 U1 = U1 - noChange noChange 113900 b 21.96
9350 - Quercus macrolepis forests IT MED 400 15.09 = >> 0.15 1.48 N/A estimate b 0.27 u > 0.30 - 0.30 N/A - N/A N/A - N/A U2 u unk unk unk XX U2 = U2 = noChange noChange 400 b 7.69
9350 - Quercus macrolepis forests GR MED 2251 84.91 = ≈ N/A N/A 296.30 estimate b 99.73 = ≈ 266.67 - 266.67 N/A - N/A 29.63 - 29.63 FV = good good good FV FV = FV N/A noChange noChange 4800 b 92.31
9360 - Macaronesian laurel forests (Laurus, Ocotea) ES MAC 676 11.50 = ≈ N/A N/A 102.94 estimate a 17.07 = ≈ 95.83 - 95.83 N/A - N/A 7.10 - 7.10 FV = good good good FV FV = FV N/A noChange method 3200 a 40
9360 - Macaronesian laurel forests (Laurus, Ocotea) PT MAC 5200 88.50 + ≈ 420 530 500 estimate a 82.93 = ≈ 202 - 230 140 - 172 68 - 122 FV = good good good FV FV = U1 = noChange genuine 4800 a 60
9370 - Palm groves of Phoenix ES MAC 1248 100 = ≈ N/A N/A 23.85 estimate a 100 = ≈ 9.95 - 9.95 N/A - N/A 13.90 - 13.90 U1 = good good unk FV U1 = U1 = noChange noChange 5200 a 100
9370 - Palm groves of Phoenix GR MED 36 100 = ≈ N/A N/A 1.28 estimate b 100 = > N/A - N/A 0.26 - 0.26 1.02 - 1.02 U1 + good poor poor FV U1 + U1 = noChange knowledge 1400 b 100
9380 - Forests of Ilex aquifolium ES ATL 20700 98.57 = ≈ N/A N/A 29.04 estimate b 100 = ≈ 7.39 - 20.86 1.90 - 12.45 6.27 - 19.75 U1 = good good unk FV U1 = U1 - noChange knowledge 11300 b 97.41
9380 - Forests of Ilex aquifolium ES MED 18200 63.41 = ≈ N/A N/A 56.39 estimate b 60.08 x ≈ 9.74 - 9.74 12.66 - 12.66 33.99 - 33.99 U1 x good poor poor U1 U1 x U2 - noInfo noInfo 9700 b 64.24
9380 - Forests of Ilex aquifolium FR MED 1600 5.57 = x 17 21 N/A estimate c 20.24 = x 17 - 21 N/A - N/A N/A - N/A FV u good good good FV FV = FV N/A noChange noChange 800 a 5.30
9380 - Forests of Ilex aquifolium PT MED 600 2.09 = ≈ N/A N/A N/A d 0 = > N/A - N/A N/A - N/A N/A - N/A FV = good good poor U1 U1 = U1 = noChange noChange 500 c 3.31
9380 - Forests of Ilex aquifolium PT ATL 300 1.43 = ≈ N/A N/A N/A d 0 = ≈ N/A - N/A N/A - N/A N/A - N/A U1 = good good poor U1 U1 = FV N/A knowledge knowledge 300 c 2.59
9380 - Forests of Ilex aquifolium IT MED 8300 28.92 + ≈ 9.74 27.19 N/A estimate b 19.67 u ≈ 22.34 - 22.34 2.90 - 2.90 1.95 - 1.95 U1 u poor poor poor U1 U1 = U1 - noChange noChange 4100 b 27.15
9390 - Scrub and low forest vegetation with Quercus alnifolia CY MED 1160 100 = ≈ N/A N/A 61.40 estimate a 100 = ≈ 55.26 - 55.26 6.14 - 6.14 N/A - N/A FV = good good good FV FV = FV N/A noChange noChange 1800 a 100
93A0 - Woodlands with Quercus infectoria (Anagyro foetidae-Quercetum infectoriae) CY MED 625 100 = ≈ N/A N/A 6.44 estimate a 100 = ≈ 2.97 - 2.97 3.47 - 3.47 N/A - N/A U2 = good good bad U2 U2 = FV N/A method noChange 2200 a 100
9410 - Acidophilous Picea forests of the montane to alpine levels (Vaccinio-Piceetea) BG CON 18200 13.21 = 18200 N/A N/A 10 estimate a 0.85 = 10 10.21 - 10.21 N/A - N/A N/A - N/A FV = poor poor poor U1 U1 + U1 = method method 3000 a 4.03
9410 - Acidophilous Picea forests of the montane to alpine levels (Vaccinio-Piceetea) SI ALP 2732 1.38 = ≈ N/A N/A 105 estimate b 0.64 = ≈ 90 - 105 N/A - 15 N/A - N/A FV = good good poor U1 U1 = U1 = noChange noChange 3500 b 2.16
9410 - Acidophilous Picea forests of the montane to alpine levels (Vaccinio-Piceetea) RO CON 5100 3.70 x x N/A N/A 36 minimum c 3.07 x x N/A - N/A N/A - N/A N/A - 36 XX x unk unk unk XX XX N/A N/A N/A N/A 1600 a 2.15
9410 - Acidophilous Picea forests of the montane to alpine levels (Vaccinio-Piceetea) FR ALP 27500 13.87 = ≈ 250 250 N/A estimate c 1.52 = ≈ N/A - N/A N/A - N/A N/A - 250 U1 - good good poor U1 U1 - FV N/A genuine genuine 19000 a 11.74
9410 - Acidophilous Picea forests of the montane to alpine levels (Vaccinio-Piceetea) IT CON 1500 1.09 + x 0.80 0.83 N/A estimate b 0.07 = x N/A - N/A N/A - N/A 0.80 - 0.83 XX x unk unk unk XX U1 = U1 = noChange noChange 100 b 0.13
9410 - Acidophilous Picea forests of the montane to alpine levels (Vaccinio-Piceetea) IT ALP 44500 22.44 + ≈ 2479.95 5320.66 N/A estimate b 23.77 - ≈ 833.24 - 833.24 98.65 - 98.65 0.82 - 0.82 U1 - good poor poor U1 U1 - U1 - noChange noChange 35500 b 21.94
9410 - Acidophilous Picea forests of the montane to alpine levels (Vaccinio-Piceetea) PL ALP 8400 4.24 = ≈ N/A N/A 80 estimate b 0.49 = ≈ 20 - 70 10 - 60 N/A - N/A U1 = good good poor U1 U1 = U1 = noChange noChange 5700 b 3.52
9410 - Acidophilous Picea forests of the montane to alpine levels (Vaccinio-Piceetea) PL CON 7200 5.23 = ≈ N/A N/A 70 estimate a 5.98 = ≈ 35 - 70 N/A - 35 N/A - N/A FV = good good good FV FV = U2 = method noChange 3500 b 4.70
9410 - Acidophilous Picea forests of the montane to alpine levels (Vaccinio-Piceetea) HR ALP 4900 2.47 - > N/A N/A 305.75 estimate a 1.86 - > 305.75 - 305.75 N/A - N/A N/A - N/A U2 - good poor bad U2 U2 - N/A N/A noChange noChange 4900 a 3.03
9410 - Acidophilous Picea forests of the montane to alpine levels (Vaccinio-Piceetea) FR CON 38800 28.16 = ≈ 37 50 N/A estimate b 3.72 = ≈ 3 - 7 2 - 6 32.28 - 37 FV u unk unk poor XX FV x U1 - noChange noChange 20700 a 27.79
9410 - Acidophilous Picea forests of the montane to alpine levels (Vaccinio-Piceetea) RO ALP 36200 18.25 = ≈ N/A N/A 5250 estimate a 31.99 = ≈ 4683 - 4683 567 - 567 N/A - N/A U1 = good good poor U1 U1 = U1 = N/A N/A 32700 a 20.21
9410 - Acidophilous Picea forests of the montane to alpine levels (Vaccinio-Piceetea) SK ALP 7249.28 3.66 = ≈ N/A N/A 382 estimate b 2.33 - > 7.35 - 7.35 4.18 - 4.18 370.47 - 370.47 FV u good poor poor U1 U1 x U1 = N/A N/A 7500 b 4.64
9410 - Acidophilous Picea forests of the montane to alpine levels (Vaccinio-Piceetea) AT ALP 43800 22.09 = ≈ N/A N/A 4908 estimate a 29.91 = ≈ 4892 - 4892 16 - 16 N/A - N/A FV = good good good FV FV = U1 = method noChange 36300 b 22.44
9410 - Acidophilous Picea forests of the montane to alpine levels (Vaccinio-Piceetea) BG ALP 18900 9.53 = 18900 N/A N/A 1134.06 estimate a 6.91 = 1134.06 1134.06 - 1134.06 N/A - N/A N/A - N/A FV = poor poor poor U1 U1 + U1 = method method 11800 a 7.29
9410 - Acidophilous Picea forests of the montane to alpine levels (Vaccinio-Piceetea) CZ CON 38500 27.94 = ≈ N/A N/A 577.52 estimate a 49.33 = ≈ 488 - 488 52.46 - 52.46 37.06 - 37.06 U1 - good poor poor U1 U1 - U1 + noChange method 22800 a 30.60
9410 - Acidophilous Picea forests of the montane to alpine levels (Vaccinio-Piceetea) DE ALP 4130 2.08 = 4130 96.05 96.05 96.05 minimum b 0.59 = 96.05 90 - 93.65 2.40 - 5 N/A - N/A FV = good good good FV FV = FV N/A noChange noChange 4900 b 3.03
9410 - Acidophilous Picea forests of the montane to alpine levels (Vaccinio-Piceetea) AT CON 3100 2.25 = ≈ 65 100 N/A estimate b 7.05 = ≈ 53 - 82 12 - 18 N/A - N/A U1 x good good poor U1 U1 = U1 = noChange noChange 2500 b 3.36
9410 - Acidophilous Picea forests of the montane to alpine levels (Vaccinio-Piceetea) DE CON 25395 18.43 = ≈ 302.94 398.09 350.51 estimate b 29.94 = ≈ 259.38 - 301.44 49.07 - 91.13 N/A - N/A U1 = good poor poor U1 U1 = U1 = noChange noChange 20300 b 27.25
9410 - Acidophilous Picea forests of the montane to alpine levels (Vaccinio-Piceetea) GR MED 184 100 = ≈ N/A N/A 80.20 estimate b 100 = ≈ 72.18 - 72.18 N/A - N/A 8.02 - 8.02 FV = good good good FV FV = FV N/A noChange noChange 500 b 100
9420 - Alpine Larix decidua and/or Pinus cembra forests RO ALP 6200 6.12 = ≈ N/A N/A 37.20 estimate a 0.92 = ≈ N/A - N/A N/A - N/A N/A - 37.20 XX x good good good FV FV = FV N/A N/A N/A 4000 a 5.01
9420 - Alpine Larix decidua and/or Pinus cembra forests AT ALP 27600 27.23 = ≈ N/A N/A 1000 estimate a 24.73 + ≈ 1000 - 1000 N/A - N/A N/A - N/A FV + good good good FV FV + FV N/A noChange genuine 21500 b 26.91
9420 - Alpine Larix decidua and/or Pinus cembra forests PL ALP 500 0.49 = ≈ N/A N/A 1.30 estimate a 0.03 = ≈ 1.30 - 1.30 N/A - N/A N/A - N/A FV = good good good FV FV = FV N/A noChange noChange 200 a 0.25
9420 - Alpine Larix decidua and/or Pinus cembra forests DE ALP 1168 1.15 = 1168 12.50 16 14.25 estimate b 0.35 = 14.25 12.40 - 13.25 1 - 1.85 N/A - N/A FV = good good good FV FV = FV N/A noChange noChange 1100 b 1.38
9420 - Alpine Larix decidua and/or Pinus cembra forests FR ALP 15600 15.39 = ≈ N/A N/A 200 estimate c 4.95 + ≈ N/A - 200 N/A - 200 N/A - 200 U1 = good good poor U1 U1 + U1 = noChange N/A 10300 a 12.89
9420 - Alpine Larix decidua and/or Pinus cembra forests SK ALP 506.09 0.50 = ≈ N/A N/A 6.50 estimate b 0.16 + ≈ 4.11 - 4.11 0.63 - 0.63 1.75 - 1.75 FV u good good good FV FV = FV N/A N/A N/A 600 b 0.75
9420 - Alpine Larix decidua and/or Pinus cembra forests IT ALP 49800 49.12 + ≈ 2460.79 3108.25 N/A estimate b 68.86 - ≈ N/A - N/A N/A - N/A 2460.79 - 3108.25 XX = good poor good FV U1 = FV N/A knowledge knowledge 42200 b 52.82
9430 - Subalpine and montane Pinus uncinata forests (*if on gypsum or limestone) IT CON 600 75 + x 0.44 0.92 N/A estimate b 73.91 = x 0.44 - 0.44 N/A - N/A N/A - N/A FV x unk unk unk XX XX XX N/A noChange noChange 200 b 33.33
9430 - Subalpine and montane Pinus uncinata forests (*if on gypsum or limestone) FR MED 7500 50 = x 11 145 N/A estimate c 82.10 = x 11 - 145 11 - 145 11 - 145 FV u good good poor FV FV = FV N/A noChange noInfo 1800 a 48.65
9430 - Subalpine and montane Pinus uncinata forests (*if on gypsum or limestone) FR CON 200 25 = ≈ N/A N/A 0.24 estimate c 26.09 = ≈ 0.24 - 0.24 N/A - N/A N/A - N/A FV = good good good FV FV = FV N/A noChange noChange 400 a 66.67
9430 - Subalpine and montane Pinus uncinata forests (*if on gypsum or limestone) FR ALP 28100 49.18 = ≈ 100 1000 N/A estimate d 38.73 = ≈ 10 - 100 100 - 990 100 - 1000 XX u good good unk FV FV = FV N/A noChange noChange 16000 a 47.76
9430 - Subalpine and montane Pinus uncinata forests (*if on gypsum or limestone) IT ALP 11300 19.78 + ≈ 53.18 403.38 N/A estimate b 16.08 - >> 21.09 - 21.09 N/A - N/A 0.06 - 0.06 U1 - good bad poor U2 U2 - U1 - knowledge noChange 4800 b 14.33
9430 - Subalpine and montane Pinus uncinata forests (*if on gypsum or limestone) ES MED 7500 50 x ≈ N/A N/A 17.01 estimate b 17.90 x > 0.74 - 0.74 N/A - N/A 16.26 - 16.26 XX x unk unk unk XX U1 x U2 - method noInfo 1900 b 51.35
9430 - Subalpine and montane Pinus uncinata forests (*if on gypsum or limestone) ES ALP 13500 23.63 = ≈ N/A N/A 632.04 estimate b 44.51 + ≈ 62.85 - 62.85 464.13 - 464.13 105.06 - 105.06 U2 x good good poor U1 U2 = U1 - noInfo noInfo 8700 b 25.97
9430 - Subalpine and montane Pinus uncinata forests (*if on gypsum or limestone) DE ALP 1636 2.86 x x N/A N/A N/A d 0 x x N/A - N/A N/A - N/A N/A - N/A XX x unk unk unk XX XX x N/A N/A knowledge knowledge 2100 c 6.27
9430 - Subalpine and montane Pinus uncinata forests (*if on gypsum or limestone) AT ALP 2600 4.55 = ≈ N/A N/A 9.70 estimate a 0.68 = ≈ 9.70 - 9.70 N/A - N/A N/A - N/A FV = good good good FV FV = FV N/A noChange noChange 1900 a 5.67
9510 - Southern Apennine Abies alba forests IT ALP 1300 100 - > 6.56 7.16 N/A estimate b 100 = ≈ 6.56 - 6.56 N/A - N/A N/A - N/A U1 = poor good poor U1 U1 - U1 x noChange knowledge 300 b 100
9510 - Southern Apennine Abies alba forests IT CON 800 100 x > N/A N/A 37.56 estimate b 100 x x 36.80 - 36.80 0.76 - 0.76 N/A - N/A XX x unk unk unk XX U2 x N/A N/A knowledge knowledge 300 b 100
9510 - Southern Apennine Abies alba forests IT MED 3700 100 = ≈ 35.60 41.12 N/A estimate b 100 u > 30.23 - 30.23 0.76 - 0.76 N/A - N/A U1 u unk poor unk XX U1 = U1 - noChange noChange 2200 b 100
9520 - Abies pinsapo forests ES MED 1900 100 = ≈ N/A N/A 13.25 estimate a 100 + ≈ 7.84 - 7.84 3.24 - 3.24 2.17 - 2.17 U1 + good good poor U1 U1 + U1 x noChange knowledge 700 a 100
9530 - (Sub-)Mediterranean pine forest with endemic black pines BG CON 55900 95.88 = 55900 N/A N/A 77 estimate a 69.46 = 77 76.63 - 76.63 0.01 - 0.01 N/A - N/A FV = poor poor poor U1 U1 + U1 = method method 27200 a 94.77
9530 - (Sub-)Mediterranean pine forest with endemic black pines RO CON 1300 2.23 = ≈ N/A N/A 32.70 estimate a 29.50 = ≈ 18.50 - 18.50 N/A - N/A 14.20 - 14.20 XX = good good good FV FV = FV N/A N/A N/A 1200 a 4.18
9530 - (Sub-)Mediterranean pine forest with endemic black pines RO ALP 500 1.13 = ≈ N/A N/A 2.35 estimate a 0.33 = ≈ N/A - N/A N/A - N/A N/A - 2.35 XX x good good unk FV FV = FV N/A N/A N/A N/A a 0
9530 - (Sub-)Mediterranean pine forest with endemic black pines CY MED 111 0.13 = ≈ N/A N/A 32.89 estimate a 0.46 = ≈ 32.89 - 32.89 N/A - N/A N/A - N/A FV = good good good FV FV = FV N/A noChange noChange 400 a 0.48
9530 - (Sub-)Mediterranean pine forest with endemic black pines SI ALP 336 0.76 = ≈ N/A N/A 18 estimate b 2.53 = ≈ 15 - 18 N/A - 3 N/A - N/A FV = good good good FV FV = FV N/A noChange noChange 300 b 1.52
9530 - (Sub-)Mediterranean pine forest with endemic black pines ES ALP 7000 15.79 = ≈ N/A N/A 29.44 estimate b 4.13 x > 1.07 - 1.07 20.24 - 20.24 8.14 - 8.14 U2 x unk unk unk XX U2 x U1 - noInfo noInfo 1400 b 7.07
9530 - (Sub-)Mediterranean pine forest with endemic black pines ES MED 66900 75.46 x ≈ N/A N/A 4043.12 estimate b 56.88 u > 255.26 - 255.26 686.69 - 686.69 3101.17 - 3101.17 XX u unk unk unk XX U1 x U1 - noChange noInfo 39800 b 48.13
9530 - (Sub-)Mediterranean pine forest with endemic black pines AT CON 200 0 = ≈ N/A N/A 0.02 estimate a 0 = ≈ N/A - N/A N/A - N/A N/A - N/A N/A N/A N/A N/A N/A N/A N/A N N/A N/A N/A N/A N/A a 0
9530 - (Sub-)Mediterranean pine forest with endemic black pines AT ALP 2900 6.54 = ≈ 33.60 34 N/A estimate a 4.75 = ≈ 33.60 - 34 N/A - N/A N/A - N/A FV = good good good FV FV = FV N/A noChange noChange 1900 a 9.60
9530 - (Sub-)Mediterranean pine forest with endemic black pines HR MED 1500 1.69 = ≈ N/A N/A 29.23 estimate a 0.41 = ≈ 29.23 - 29.23 N/A - N/A N/A - N/A FV = good good good FV FV = N/A N/A noChange noChange 1000 a 1.21
9530 - (Sub-)Mediterranean pine forest with endemic black pines IT MED 6100 6.88 + ≈ 69.71 70.58 N/A estimate b 0.99 = ≈ 106 - 106 0.31 - 0.31 9.49 - 9.49 FV u good unk unk XX FV = FV N/A noChange noChange 4400 b 5.32
9530 - (Sub-)Mediterranean pine forest with endemic black pines IT CON 1100 1.89 + ≈ 0.78 1.52 N/A estimate b 1.04 u > 0.78 - 0.78 N/A - N/A N/A - N/A U1 x unk unk unk XX U1 x U1 = noChange method 300 b 1.05
9530 - (Sub-)Mediterranean pine forest with endemic black pines IT ALP 7600 17.14 + ≈ 356.99 411.01 N/A estimate b 53.92 + ≈ 68.81 - 68.81 N/A - N/A 0.01 - 0.01 U1 - good good poor FV U1 = U1 - noChange knowledge 5500 b 27.78
9530 - (Sub-)Mediterranean pine forest with endemic black pines FR MED 7500 8.46 = ≈ 300 400 N/A estimate b 4.92 = ≈ 100 - 150 20 - 40 60 - 60 U1 u good unk poor U1 U1 = U1 = noChange noChange 5400 a 6.53
9530 - (Sub-)Mediterranean pine forest with endemic black pines GR MED 6545 7.38 = ≈ N/A N/A 2582.60 estimate b 36.33 = ≈ 2324.34 - 2324.34 N/A - N/A 258.26 - 258.26 FV = good good good FV FV = FV N/A noChange noChange 31700 b 38.33
9530 - (Sub-)Mediterranean pine forest with endemic black pines HR ALP 500 1.13 = ≈ N/A N/A 13.34 estimate a 1.87 = ≈ 13.34 - 13.34 N/A - N/A N/A - N/A FV = good good good FV FV = N/A N/A noChange noChange 600 a 3.03
9530 - (Sub-)Mediterranean pine forest with endemic black pines BG ALP 25500 57.52 = 25500 N/A N/A 231.28 estimate a 32.47 = 231.28 231.27 - 231.27 0.01 - 0.01 N/A - N/A FV = poor poor poor U1 U1 + U1 = method method 10100 a 51.01
9540 - Mediterranean pine forests with endemic Mesogean pines FR MED 16400 5.32 - ≈ 500 530 N/A estimate c 2.38 - x 200 - 250 150 - 250 30 - 150 U2 - bad bad bad U2 U2 - U2 - noChange noChange 11800 c 4.15
9540 - Mediterranean pine forests with endemic Mesogean pines HR MED 5000 1.62 = ≈ N/A N/A 187.72 estimate a 0.87 = ≈ 187.72 - 187.72 N/A - N/A N/A - N/A FV = good good good FV FV = N/A N/A noChange noChange 5000 a 1.76
9540 - Mediterranean pine forests with endemic Mesogean pines MT MED 13 0 = > N/A N/A 0.32 estimate a 0 = > 0.27 - 0.27 0.05 - 0.05 N/A - N/A U1 = poor poor poor U1 U1 = U1 = noChange noChange 300 a 0.11
9540 - Mediterranean pine forests with endemic Mesogean pines CY MED 4024 1.31 = ≈ N/A N/A 1275.62 estimate a 5.89 = ≈ 1116.17 - 1116.17 159.45 - 159.45 N/A - N/A FV = good good good FV FV = FV N/A noChange noChange 4600 a 1.62
9540 - Mediterranean pine forests with endemic Mesogean pines GR MED 16462 5.34 + ≈ N/A N/A 6882.20 estimate b 31.76 + ≈ 6193.98 - 6193.98 N/A - N/A 688.22 - 688.22 FV = good good good FV FV + FV N/A noChange method 88800 b 31.22
9540 - Mediterranean pine forests with endemic Mesogean pines IT CON 1400 100 + ≈ 5.02 6.34 N/A estimate b 100 + ≈ 3.19 - 3.19 3.14 - 3.14 N/A - N/A U2 u unk unk unk XX U2 = U2 - noChange method 600 b 100
9540 - Mediterranean pine forests with endemic Mesogean pines ES MED 235900 76.54 x ≈ N/A N/A 12410.52 estimate b 57.27 = ≈ 1957.46 - 2202.14 3068.73 - 3254.60 7198.46 - 7384.33 U1 - good poor poor U1 U1 x FV N/A method noChange 155000 b 54.50
9540 - Mediterranean pine forests with endemic Mesogean pines IT MED 30400 9.86 + ≈ 391.89 407.16 N/A estimate b 1.84 = ≈ N/A - N/A N/A - N/A 391.89 - 407.16 XX u poor poor poor U1 U1 = U1 - noChange noChange 18900 b 6.65
9550 - Canarian endemic pines forests ES MAC 1822 100 = ≈ N/A N/A 736.98 estimate a 100 = ≈ 626.12 - 626.12 N/A - N/A 110.86 - 110.86 U1 = good good good FV U1 = FV N/A method method 4700 a 100
9560 - Endemic forests with Juniperus spp. GR MED 279 0.29 = ≈ N/A N/A 111.95 minimum b 5.95 = ≈ N/A - N/A 22.39 - 22.39 89.56 - 89.56 U1 + good good poor U1 U1 + FV N/A knowledge knowledge 3100 b 5.27
9560 - Endemic forests with Juniperus spp. FR ALP 13800 85.71 = x 14 14 N/A estimate c 88.51 + x N/A - N/A N/A - N/A 14 - 14 XX x good good unk FV FV = U1 = knowledge noChange 6000 b 92.31
9560 - Endemic forests with Juniperus spp. FR MED 7800 8 = ≈ 9 10 N/A estimate c 0.50 + ≈ 7 - 8 1 - 1 1 - 1 U1 = good good poor U1 U1 + U1 = noChange noChange 6300 b 10.71
9560 - Endemic forests with Juniperus spp. ES ALP 1900 11.80 = ≈ N/A 0.04 N/A estimate a 0.13 x ≈ N/A - N/A N/A - N/A 0.04 - 0.04 XX x good good good FV XX N/A N/A knowledge knowledge 100 b 1.54
9560 - Endemic forests with Juniperus spp. ES ATL 2800 100 - x N/A N/A 18.23 estimate b 100 = ≈ 18.23 - 18.23 N/A - N/A N/A - N/A FV = good good good FV FV - XX N/A knowledge knowledge 1000 b 100
9560 - Endemic forests with Juniperus spp. ES MAC 593 16.06 = ≈ N/A N/A 44.40 estimate a 18.94 = ≈ 33.22 - 33.22 N/A - N/A 11.18 - 11.18 U1 = good good good FV U1 = FV N/A method method 3400 b 89.47
9560 - Endemic forests with Juniperus spp. ES MED 86200 88.43 x > N/A N/A 1758.31 estimate b 93.43 = > 516.97 - 516.97 149.49 - 149.49 1091.85 - 1091.85 U1 - unk good good FV U1 x U2 - knowledge noInfo 46700 b 79.42
9560 - Endemic forests with Juniperus spp. IT ALP 300 1.86 - > 1.21 2.05 N/A estimate b 10.31 - > N/A - N/A N/A - N/A 1.21 - 1.21 U1 = poor poor poor U1 U1 - U1 x noChange knowledge 300 b 4.62
9560 - Endemic forests with Juniperus spp. BG CON 300 100 u 300 N/A N/A 2.47 estimate a 100 u 2.47 2.47 - 2.47 N/A - N/A N/A - N/A FV = bad bad bad U2 U2 x U1 = method method 200 a 100
9560 - Endemic forests with Juniperus spp. CY MED 102 0.10 = ≈ N/A N/A 2.10 estimate a 0.11 = ≈ 1.84 - 1.84 0.26 - 0.26 N/A - N/A FV + good good good FV FV + FV N/A noChange genuine 700 a 1.19
9560 - Endemic forests with Juniperus spp. PT MAC 3100 83.94 = ≈ 160 220 190 estimate a 81.06 = ≈ 63 - 98 70 - 140 1 - 1 FV = good good poor U1 U1 - U1 - noChange noChange 400 c 10.53
9560 - Endemic forests with Juniperus spp. PT MED 3100 3.18 = ≈ N/A N/A N/A d 0 = > N/A - N/A N/A - N/A N/A - N/A U2 - good good bad U2 U2 - U1 = knowledge knowledge 2000 c 3.40
9560 - Endemic forests with Juniperus spp. BG ALP 100 0.62 = 100 N/A N/A 0.17 estimate a 1.06 = 0.17 0.17 - 0.17 N/A - N/A N/A - N/A FV = poor poor poor U1 U1 + U1 = noChange method 100 a 1.54
9570 - Tetraclinis articulata forests MT MED 12 1.96 = ≈ N/A N/A 0.01 estimate a 1.36 = ≈ 0.01 - 0.01 0 - 0 N/A - N/A FV = good good good FV FV = U1 = knowledge noChange 400 a 44.44
9570 - Tetraclinis articulata forests ES MED 600 98.04 u ≈ N/A N/A 0.94 estimate b 98.64 u ≈ 0.64 - 0.64 0.18 - 0.18 0.12 - 0.12 U1 = unk unk unk XX U1 x U1 + noChange noInfo 500 b 55.56
9580 - Mediterranean Taxus baccata woods ES ATL 8100 95.29 = x N/A N/A 5.89 estimate b 100 = > 2.64 - 3.33 0.27 - 0.96 2.28 - 2.97 U1 = good poor poor U1 U1 = U1 - noChange method 2100 b 91.30
9580 - Mediterranean Taxus baccata woods PT MED 400 1.06 = ≈ N/A N/A N/A d 0 - > N/A - N/A N/A - N/A N/A - N/A U2 - good poor bad U2 U2 - U1 + knowledge knowledge 300 c 2.10
9580 - Mediterranean Taxus baccata woods PT ATL 400 4.71 = ≈ N/A N/A N/A d 0 + > N/A - N/A N/A - N/A N/A - N/A U2 - good good bad U2 U2 - U1 + knowledge knowledge 200 c 8.70
9580 - Mediterranean Taxus baccata woods ES ALP 1000 100 = ≈ N/A N/A 0.03 minimum c 100 u > N/A - N/A N/A - N/A 0.03 - 0.03 XX u good poor poor U1 U1 x N/A N/A knowledge knowledge 400 b 100
9580 - Mediterranean Taxus baccata woods ES MED 27600 73.21 x x N/A N/A 1.92 estimate b 19.38 - x 0.56 - 0.57 0.06 - 0.07 1.27 - 1.30 U1 - unk poor poor U1 U1 - U2 - knowledge noChange 8600 b 60.14
9580 - Mediterranean Taxus baccata woods IT MED 3800 10.08 = ≈ 6.24 7.70 N/A estimate b 70.50 + ≈ 7.66 - 7.66 N/A - N/A 0.04 - 0.04 U1 u poor poor unk U1 U1 = U1 x noChange noChange 2000 b 13.99
9580 - Mediterranean Taxus baccata woods FR MED 5900 15.65 = ≈ 1 1 N/A minimum c 10.12 + ≈ N/A - N/A N/A - N/A 1 - 1 XX x unk unk unk XX XX = FV N/A noChange noChange 3400 b 23.78
9590 - Cedrus brevifolia forests (Cedrosetum brevifoliae) CY MED 40 100 = ≈ N/A N/A 2.91 estimate a 100 = ≈ 2.91 - 2.91 N/A - N/A N/A - N/A FV = good good good FV FV = FV N/A noChange noChange 200 a 100
95A0 - High oro-Mediterranean pine forests IT MED 1900 76.64 = ≈ 3.87 4.42 N/A estimate c 1.43 = > 5.33 - 5.33 N/A - N/A 0 - 0 U1 x unk unk unk XX U1 = U1 x noChange noChange 1100 b 24.44
95A0 - High oro-Mediterranean pine forests BG ALP 6700 100 = 6700 N/A N/A 179.40 estimate a 100 = 179.40 179.40 - 179.40 N/A - N/A N/A - N/A FV = poor poor poor U1 U1 + U1 = method method 3500 a 100
95A0 - High oro-Mediterranean pine forests GR MED 579 23.36 = ≈ N/A N/A 286.43 estimate b 98.57 = ≈ N/A - N/A 85.93 - 85.93 200.50 - 200.50 U2 + good good bad U2 U2 + FV N/A knowledge knowledge 3400 b 75.56
95A0 - High oro-Mediterranean pine forests BG CON 2600 100 = 2600 N/A N/A 0.31 estimate a 100 = 0.31 0.31 - 0.31 N/A - N/A N/A - N/A FV = poor poor poor U1 U1 = XX N/A method method 500 a 100