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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, Grasslands, 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)
0.05 0 0.04
0.35 N/A N/A
N/A N/A 18.99
N/A N/A 0.86
N/A N/A 1.72
21.67 0.45 2.10
11.60 0.19 0.05
34.65 0.60 6.81
0.01 0.01 N/A
0.59 0.01 N/A
N/A N/A N/A
0.02 0.04 0
3.19 0.36 N/A
N/A 0.04 0
N/A N/A 0.01
N/A N/A 0.40
N/A N/A 0.27
N/A 38.22 152.90
N/A N/A 1
6 4 N/A
18.05 6.05 2.30
N/A N/A N/A
N/A N/A 74.10
135.72 1.69 95.98
N/A N/A 11.72
8 N/A N/A
12.30 0.70 N/A
0.02 N/A 0
850 N/A 50
0.50 0.01 0.08
N/A N/A 0.05
1500 50 50
N/A N/A 0.03
N/A N/A 0.10
N/A N/A 0.10
76 N/A N/A
96 32 N/A
0.07 0.02 0.08
0.95 1.55 N/A
0.17 1.07 N/A
13.80 51.30 N/A
0 0.14 0.22
0.01 0.27 N/A
0.17 0.20 N/A
N/A N/A 27.20
1.75 1.10 1.05
0.48 0.28 N/A
0 0.01 N/A
1.50 1.60 4.40
N/A N/A N/A
0.80 0.80 N/A
0.07 0.02 N/A
4.06 3.37 0.87
25 N/A 25
900 50 100
275 N/A 25
N/A 2.96 2.87
1 N/A 1
0.06 N/A 1.94
0.05 0.08 0.01
N/A N/A 0.65
5.70 N/A 0
0.15 0.25 0.35
1.81 1.04 2.25
N/A N/A N/A
0.08 0.12 0.30
0.50 0.50 0.50
N/A N/A N/A
0.05 0.01 N/A
0.14 0.03 0.26
0.65 N/A N/A
1.22 0.26 N/A
1.50 N/A 0.06
N/A N/A N/A
0.05 N/A 396.66
44.10 0.86 3.04
69.50 69.50 69.50
43.34 N/A N/A
N/A N/A 1754.90
3850 N/A N/A
67.50 N/A 7.50
4 N/A 1
4005 N/A 445
250 N/A 10
8.38 0.05 0.14
2150 250 150
6.30 1 N/A
1.65 0.55 N/A
0.01 N/A N/A
125.17 201.19 385.29
10.46 0.77 23.51
N/A N/A 76.62
N/A N/A 0.45
N/A N/A 19.95
N/A N/A N/A
69.05 7.90 54.73
N/A N/A N/A
N/A N/A N/A
142.55 37.15 101.50
N/A N/A N/A
N/A N/A 2066
12 N/A 66.50
N/A N/A 25.05
3.40 0.60 N/A
1.62 5.20 N/A
990 N/A 110
N/A N/A 131.25
4.64 0.59 2.80
1.80 0.14 1498.06
45.08 4.11 194.79
6.39 N/A 326.67
86.02 0.06 0.05
106.60 N/A N/A
500.96 N/A 55.66
12.60 N/A 87.90
2100 50 150
85.99 27.90 979.43
1415 55 1425
N/A N/A 22.21
232 232 232
245 1.25 43.75
30 130 N/A
1550 175 125
0.21 0.01 0.01
0.30 0 0.10
0.73 0.11 3.75
0.02 0.01 N/A
0.90 0.17 18.93
0.07 0 0.58
2.29 0.11 0.11
850 200 50
8.75 2.75 N/A
2250 100 150
10.70 4 N/A
2.55 1.40 N/A
135.41 187.35 190.88
N/A N/A 4.90
N/A N/A 0.23
0.49 0.32 19.09
4.07 2.92 149.36
N/A N/A 169.81
N/A N/A 88.32
N/A N/A 868.49
42 29 N/A
74 32 N/A
43 19 N/A
70 30 N/A
0.35 0.15 N/A
91.98 16.75 17.83
5.89 1.24 1.52
50 20 15
1250 50 250
15.40 5.60 7
0.43 3.99 0.40
211.16 81.87 N/A
N/A N/A N/A
0.94 2.06 N/A
18.39 19.61 N/A
15.35 19.95 N/A
27.50 15 6
0.16 0.26 N/A
N/A N/A 513.72
106.11 60.79 147.12
53.92 92.31 250.11
0.30 0.21 N/A
N/A 17.82 16.73
1.88 0.50 N/A
0.13 1.27 0.30
13.70 13.70 N/A
547.50 50 550
444.50 248.50 72.50
176.10 87.70 180.85
N/A N/A 283.50
1375.85 73.93 14.83
389.12 26.80 0.53
350.55 73.90 2.15
11.75 2.41 N/A
12.50 7.50 310
7.50 3.50 203.50
N/A N/A 55
935.66 N/A 103.96
N/A N/A 26.18
N/A N/A 106.31
N/A N/A 302.94
0.90 1.52 19.96
7.78 3.65 N/A
4.67 4.90 N/A
N/A N/A N/A
7084.30 3176.84 12984.90
N/A N/A 0.25
13.79 0.12 N/A
28.23 1.70 0.84
N/A N/A 261.50
N/A N/A 12
1229.07 187.93 57.31
3.50 3.50 3.50
42.50 22.50 582.50
2.50 2.50 N/A
60 15 N/A
N/A 1.95 2.92
N/A N/A N/A
0.07 N/A N/A
46.45 11.61 N/A
2.89 1.98 0.41
4.40 0.75 N/A
0.78 1.80 N/A
0.10 0.40 N/A
1.60 0.15 N/A
35.55 1.20 N/A
3550 200 150
8.36 1.05 4.09
23.70 0.60 0.75
338.50 17.91 2.24
57.43 14.02 16.87
0.25 0.25 N/A
6 6 N/A
103 103 103
0.07 0.02 N/A
550 50.50 550
145 145 145
N/A N/A 35500
N/A 0.50 0.20
N/A N/A 0.10
0.40 N/A N/A
N/A N/A 61.41
N/A N/A 237.55
12.87 11.04 189.19
N/A N/A 6.40
3.14 2.82 N/A
5.36 42.37 3.55
147.29 N/A 16.37
1.04 5.07 N/A
1.90 5.30 N/A
N/A N/A 162.49
107.13 17.01 143.14
121.36 80.63 52.39
6 7.50 N/A
53.40 62.60 N/A
3.95 3.75 N/A
19.50 15.51 N/A
N/A N/A N/A
1.85 0.17 0.03
0.76 0.14 3.77
0.53 0 0.01
10.36 5.95 5.47
0.10 0.03 N/A
70 107.50 12.50
10.59 1.65 0
0.44 0.23 2.34
N/A N/A 0.92
N/A N/A 0.13
N/A N/A 145.91
2.10 0.03 N/A
3200 250 200
N/A N/A 4.25
0.01 N/A 0.09
N/A N/A 134.48
N/A 0.01 N/A
0.13 0.01 N/A
0.03 0.14 0.56
N/A N/A N/A
63 126 21
0.55 0.12 0.01
N/A N/A 0.63
0.34 0.32 4.09
N/A N/A 3.19
0.83 0.04 0
2.42 0.58 N/A
0.03 0.13 N/A
120 240 40
650 650 N/A
16 9 15
5.50 N/A 9.50
157.50 40 27.50
N/A 61.87 92.79
4.50 4.50 N/A
90 90 N/A
120 80 N/A
48 22 30
0.05 0.45 N/A
108 27 N/A
N/A N/A 13.06
282.50 24.50 3663
10 5 935
454.41 N/A 50.49
N/A N/A 2.42
N/A N/A 230.65
8.91 3.79 0.01
41.72 0.69 0
135.52 N/A N/A
100 94 N/A
7 3 N/A
0.41 N/A N/A
N/A N/A 16.67
2600 100 100
N/A N/A 60.15
1900 400 200
N/A N/A 54.25
N/A N/A 286.51
N/A N/A 4.18
51.71 8.73 44.50
N/A N/A N/A
21871.70 1821.82 5049.04
N/A N/A N/A
0.04 0.06 N/A
39.79 10.87 16.61
6.74 16.25 N/A
92.50 107.50 N/A
20.66 47.34 N/A
N/A N/A 4
N/A N/A 709
29.80 16.80 1.45
35 35 70
N/A N/A 1.64
6.88 1.20 10.63
0.19 0.56 N/A
N/A N/A 3.74
32.82 7.93 0.03
7.90 6.66 0.04
0.29 0.29 0.05
1550 75 75
125 25 50
1650 125 75
15 N/A N/A
3.40 0.07 9.22
1.35 1.55 N/A
0.50 0.50 N/A
N/A N/A 8.60
6.40 5.70 N/A
N/A N/A 3.60
25 N/A 25
0.03 N/A 0.27
100 100 N/A
40 40 N/A
13.89 5.90 46.50
N/A 13.02 19.52
1 0.20 33.80
N/A N/A 3.25
50 25 25
15 3.50 21.25
56.50 28.50 10
1.51 0.93 N/A
2.50 0.50 7
52.22 15.84 12.07
N/A N/A N/A
3 3 N/A
N/A N/A N/A
3.69 2.17 N/A
0.03 0.03 0.41
0.63 0.15 N/A
0.10 0.41 0
N/A N/A 2.60
3.65 1.60 N/A
0.01 0.01 0.04
0.05 N/A N/A
N/A 13.63 54.52
N/A N/A 18
2 2 2
N/A 1.58 0
3.44 9.89 0
26.77 3.51 0.50
N/A N/A 0.01
N/A N/A 0.25
126.34 59.93 183.50
0.26 0.11 35.21
N/A N/A 0.22
N/A N/A 0.60
0 0.02 N/A
N/A N/A N/A
150 50 50
5350 200 150
5.18 5.18 26.40
53.81 21.46 61
N/A N/A 1
15 9 N/A
0.13 0.04 N/A
8.80 8.80 N/A
0.50 N/A 9.50
62.11 N/A N/A
12 6.29 11.70
35.70 9.53 0.35
18 N/A 2
148.58 4.05 4.53
1.40 N/A 38.60
58.04 38 N/A
2.80 61.20 N/A
0.80 34.90 N/A
550 5.50 550
550 515 935
8.10 3.20 N/A
24.05 41.95 N/A
53.60 12.93 33.83
N/A N/A 10.73
N/A N/A 1.56
N/A N/A 56.24
N/A N/A 97000
14.50 14.50 14.50
N/A 1.67 6.65
2.50 0.75 2
N/A N/A 60.49
2150 50 150
1250 100 100
0.03 31.03 1.64
N/A N/A 200
0.67 0.33 N/A
2.79 1.92 15.17
0.50 0.38 2.70
N/A N/A 10
N/A N/A N/A
N/A N/A N/A
6700 200 150
450 N/A 50
54.19 15.17 2.17
3.09 3.22 6.22
20 0.50 1.50
1.85 1.19 0.73
N/A 2.06 3.08
N/A N/A 2
N/A N/A 100
N/A N/A 1.19
0.20 1.20 6.85
0.24 0 0.01
1.65 1.65 2.20
4.41 N/A 0.83
130.50 174 130.50
0.05 0.05 0.05
14.75 41.75 N/A
37.73 71.36 2.77
0.27 0.12 N/A
4.94 2.47 0.48
0.61 0.11 0.30
1600 100 50
250 N/A N/A
3650 200 200
900 50 50
1050 N/A 50
N/A N/A 2.18
7.42 5.38 17.93
10.99 0.67 N/A
10 10 N/A
73.90 73.90 N/A
15 15 N/A
7.30 24.70 N/A
N/A 55.32 82.98
89 36 45
0.02 N/A N/A
57.50 6.50 31
900 75 125
225 N/A 25
2800 125 125
550 N/A 75
550 N/A 50
1063.64 354.55 N/A
N/A 17.35 26.03
N/A N/A 272.26
5 12 N/A
0.80 1.80 N/A
25 120.95 N/A
237.01 44.03 616.77
171.11 10.01 96.32
159 70 90
106.38 136.09 40.63
N/A N/A 891.65
62.74 4.47 0.68
77 27 N/A
203.50 68.50 N/A
0.40 N/A 0.10
10 10 10
16.80 51.45 34.20
3.03 18.01 16.37
375 1650 1650
61250 61250 61250
173.50 173.50 173.50
22 7 61
22.50 2.70 64.80
0.85 0.75 N/A
36 28 211
37.30 20.03 1463.79
4.55 2.25 80.93
72 72 96
815.79 173.87 441.81
2.23 0.21 1.70
N/A N/A N/A
N/A N/A N/A
2.28 0.36 0.36
82.64 30.53 1.79
9.34 N/A 1.04
N/A N/A 137.67
N/A N/A 8.28
N/A N/A 10.47
1 N/A 3.50
3341.70 3804.30 189
8.79 4.09 2.77
165 135 N/A
25 N/A 6.50
4.05 4.95 N/A
19.50 6.50 6.50
N/A N/A 58.93
N/A N/A 164.02
0.03 N/A N/A
N/A N/A N/A
4.04 N/A N/A
140.98 8.38 1
26.25 23.75 N/A
85.74 8.14 20.61
10050 10050 10050
2.03 1.56 6.24
1.68 1.03 6.55
136.68 36.33 N/A
2.70 2 4.80
0.80 1.90 N/A
2 4.80 N/A
1.50 0.60 37.90
1.73 6.37 6.78
N/A N/A 13.37
23.15 14.35 N/A
31 31 31
27.50 27.50 55
5.60 0.40 1.50
101.29 N/A N/A
6950 125 250
0.80 N/A N/A
N/A N/A 1.30
N/A 4.30 40.29
12 16.50 N/A
0.67 0.98 N/A
0.03 0.10 N/A
3.60 5.40 N/A
8.50 8.50 N/A
5.25 N/A 68
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
6110 - Rupicolous calcareous or basophilic grasslands of the Alysso-Sedion albi SK PAN 828.07 13.59 = ≈ N/A N/A 0.10 estimate b 20.55 = > 0.05 - 0.05 0 - 0 0.04 - 0.04 FV u good good good FV FV = FV N/A N/A N/A 1000 b 21.28
6110 - Rupicolous calcareous or basophilic grasslands of the Alysso-Sedion albi HU PAN 3267 53.60 = ≈ 0.20 0.50 N/A estimate a 75.25 = > 0.20 - 0.50 N/A - N/A N/A - N/A FV = good poor good U1 U1 = U1 = noChange noChange 3300 a 70.21
6110 - Rupicolous calcareous or basophilic grasslands of the Alysso-Sedion albi BG CON 61000 23.03 u 61000 N/A N/A 18.99 minimum b 0.88 u 18.99 N/A - N/A N/A - N/A 18.99 - 18.99 XX x poor poor poor U1 U1 x U1 = method method 20600 b 15.91
6110 - Rupicolous calcareous or basophilic grasslands of the Alysso-Sedion albi BG BLS 5200 100 u 5200 N/A N/A 0.86 minimum b 100 u 0.86 N/A - N/A N/A - N/A 0.86 - 0.86 XX x poor poor poor U1 U1 x U1 = method method 1700 b 100
6110 - Rupicolous calcareous or basophilic grasslands of the Alysso-Sedion albi BG ALP 14000 13.97 u 14000 N/A N/A 1.72 minimum b 0.13 = 1.72 N/A - N/A N/A - N/A 1.72 - 1.72 XX x poor poor poor U1 U1 x FV N/A method method 3200 b 7.29
6110 - Rupicolous calcareous or basophilic grasslands of the Alysso-Sedion albi IT ALP 15600 15.57 = > 26.82 69.49 N/A estimate b 3.70 + ≈ 21.67 - 21.67 0.45 - 0.45 2.10 - 2.10 U1 = poor good poor U1 U1 + U2 - knowledge knowledge 7900 b 18
6110 - Rupicolous calcareous or basophilic grasslands of the Alysso-Sedion albi IT CON 35300 13.33 = ≈ 57.27 126.17 N/A estimate b 4.23 + ≈ 11.60 - 11.60 0.19 - 0.19 0.05 - 0.05 U1 = good good poor U1 U1 + U1 - noChange knowledge 14900 b 11.51
6110 - Rupicolous calcareous or basophilic grasslands of the Alysso-Sedion albi IT MED 49600 27.47 + ≈ 42.48 49.41 N/A estimate b 9.60 - > 34.65 - 34.65 0.60 - 0.60 6.81 - 6.81 U1 - good poor poor U1 U1 - XX N/A knowledge knowledge 20500 b 22.07
6110 - Rupicolous calcareous or basophilic grasslands of the Alysso-Sedion albi LV BOR 414 3.50 = x 0.03 0.03 N/A estimate b 0.29 = x 0.01 - 0.01 0.01 - 0.01 N/A - N/A U2 - poor unk poor U1 U2 - U1 - knowledge knowledge N/A a 0
6110 - Rupicolous calcareous or basophilic grasslands of the Alysso-Sedion albi LU CON 2500 0.94 = ≈ 0.47 0.76 N/A estimate b 0.03 = ≈ 0.45 - 0.74 0.01 - 0.01 N/A - N/A FV + good good good FV FV + U1 x knowledge knowledge 1100 a 0.85
6110 - Rupicolous calcareous or basophilic grasslands of the Alysso-Sedion albi PT MED 7900 4.38 = x N/A N/A N/A d 0 = ≈ N/A - N/A N/A - N/A N/A - N/A FV = good good good FV FV = U1 = knowledge knowledge 4900 c 5.27
6110 - Rupicolous calcareous or basophilic grasslands of the Alysso-Sedion albi PL CON 3400 1.28 = ≈ 0.04 0.08 0.06 minimum b 0 - > 0.01 - 0.03 0.04 - 0.05 0 - 0 U2 - good poor bad U2 U2 - U1 - knowledge noChange 2400 b 1.85
6110 - Rupicolous calcareous or basophilic grasslands of the Alysso-Sedion albi DE CON 63644 24.03 = > 2.73 3.69 3.54 estimate b 0.16 - > 2.23 - 4.14 0.25 - 0.47 N/A - N/A U1 - poor poor poor U1 U1 - U1 - noChange noChange 47400 b 36.60
6110 - Rupicolous calcareous or basophilic grasslands of the Alysso-Sedion albi DE ATL 1050 3.14 = ≈ 0.04 0.04 0.04 minimum b 0.18 = 0.04 N/A - N/A 0.04 - 0.04 0 - 0 U2 - good good bad U2 U2 - U2 - noChange noChange 600 b 4.48
6110 - Rupicolous calcareous or basophilic grasslands of the Alysso-Sedion albi BE ATL 2700 8.07 = ≈ N/A N/A 0.01 estimate b 0.04 = >> N/A - N/A N/A - N/A 0.01 - 0.01 U2 x good bad bad U2 U2 x U2 - noChange noChange 800 a 5.97
6110 - Rupicolous calcareous or basophilic grasslands of the Alysso-Sedion albi AT CON 13400 5.06 = ≈ N/A N/A 0.40 minimum b 0.02 x > N/A - N/A N/A - N/A 0.40 - 0.40 XX x good poor unk U1 U1 x U1 = noChange noInfo 4200 b 3.24
6110 - Rupicolous calcareous or basophilic grasslands of the Alysso-Sedion albi BE CON 6600 2.49 = ≈ 0.50 0.55 0.53 estimate b 0.02 = >> N/A - N/A N/A - N/A N/A - 0.53 U2 x good bad bad U2 U2 = U2 + noChange noChange 4500 a 3.47
6110 - Rupicolous calcareous or basophilic grasslands of the Alysso-Sedion albi GR MED 743 0.41 = ≈ N/A N/A 191.12 estimate b 39.94 = ≈ N/A - N/A 38.22 - 38.22 152.90 - 152.90 U1 + good good poor U1 U1 + U1 = noChange knowledge 7000 b 7.53
6110 - Rupicolous calcareous or basophilic grasslands of the Alysso-Sedion albi FR ALP 29300 29.24 = ≈ 1 1 N/A estimate c 0.08 = ≈ N/A - N/A N/A - N/A 1 - 1 XX = good good good FV FV = U1 = method noChange 10900 b 24.83
6110 - Rupicolous calcareous or basophilic grasslands of the Alysso-Sedion albi SE BOR 11400 96.50 = ≈ N/A N/A 10 estimate b 99.71 = ≈ 6 - 6 4 - 4 N/A - N/A U2 - good good bad U2 U2 - U2 - noChange noChange 5900 b 100
6110 - Rupicolous calcareous or basophilic grasslands of the Alysso-Sedion albi FR ATL 29400 87.89 = 15982 9.80 40 N/A estimate b 99.78 - x 6.70 - 29.40 2.20 - 9.90 0.90 - 3.70 U1 - good poor poor U1 U1 - U1 = noChange noChange 11600 b 86.57
6110 - Rupicolous calcareous or basophilic grasslands of the Alysso-Sedion albi NL ATL 300 0.90 = ≈ N/A N/A 0 estimate a 0 = >> N/A - N/A N/A - N/A N/A - N/A U1 + good bad poor U2 U2 + U2 = noChange method 400 a 2.99
6110 - Rupicolous calcareous or basophilic grasslands of the Alysso-Sedion albi ES ALP 6100 6.09 = ≈ N/A N/A 74.10 estimate a 5.69 x ≈ N/A - N/A N/A - N/A 74.10 - 74.10 XX x good good good FV XX XX N/A noChange noChange 1900 b 4.33
6110 - Rupicolous calcareous or basophilic grasslands of the Alysso-Sedion albi ES MED 85500 47.36 = x N/A N/A 233.39 estimate b 48.77 - x 135.72 - 135.72 1.69 - 1.69 95.98 - 95.98 U1 x unk unk unk XX U2 x U1 x knowledge noChange 43800 b 47.15
6110 - Rupicolous calcareous or basophilic grasslands of the Alysso-Sedion albi FR CON 55700 21.03 = ≈ 3.45 20 N/A minimum c 0.54 - > N/A - N/A N/A - N/A 3.45 - 20 U1 x good poor poor U1 U1 x U1 = method N/A 21800 b 16.83
6110 - Rupicolous calcareous or basophilic grasslands of the Alysso-Sedion albi FR MED 30900 17.12 = x 5 11 N/A estimate c 1.67 = x 5 - 11 N/A - N/A N/A - N/A FV u good good good FV FV = FV N/A noChange noChange 12000 b 12.92
6110 - Rupicolous calcareous or basophilic grasslands of the Alysso-Sedion albi SE CON 1300 0.49 = ≈ N/A N/A 13 estimate b 0.60 = ≈ 12.30 - 12.30 0.70 - 0.70 N/A - N/A FV = good good good FV FV = FV N/A noChange noChange 1000 b 0.77
6110 - Rupicolous calcareous or basophilic grasslands of the Alysso-Sedion albi CZ PAN 2000 32.81 u ≈ N/A N/A 0.02 estimate a 4.19 u ≈ 0.02 - 0.02 N/A - N/A 0 - 0 FV u good good poor U1 U1 x U1 = noInfo noInfo 400 a 8.51
6110 - Rupicolous calcareous or basophilic grasslands of the Alysso-Sedion albi RO ALP 1800 1.80 = ≈ N/A N/A 1100 interval b 84.41 = ≈ 700 - 1000 N/A - N/A N/A - 100 FV = good good good FV FV = FV N/A noChange noChange 800 a 1.82
6110 - Rupicolous calcareous or basophilic grasslands of the Alysso-Sedion albi CZ CON 13400 5.06 u ≈ N/A N/A 0.59 estimate a 0.03 u ≈ 0.50 - 0.50 0.01 - 0.01 0.08 - 0.08 U1 u good good poor U1 U1 x U1 = noInfo noInfo 6400 a 4.94
6110 - Rupicolous calcareous or basophilic grasslands of the Alysso-Sedion albi HR ALP 3800 3.79 u x N/A N/A 0.05 minimum c 0 u x N/A - N/A N/A - N/A 0.05 - 0.05 XX u unk unk unk XX XX N/A N/A noChange noChange 2700 b 6.15
6110 - Rupicolous calcareous or basophilic grasslands of the Alysso-Sedion albi RO CON 4800 1.81 = ≈ N/A N/A 1900 interval b 87.59 = ≈ 1300 - 1700 N/A - 100 N/A - 100 FV = good good good FV FV = FV N/A knowledge knowledge 1500 a 1.16
6110 - Rupicolous calcareous or basophilic grasslands of the Alysso-Sedion albi HR CON 600 0.23 u x N/A N/A 0.03 minimum c 0 u x N/A - N/A N/A - N/A 0.03 - 0.03 XX u unk unk unk XX XX N/A N/A noChange noChange 600 b 0.46
6110 - Rupicolous calcareous or basophilic grasslands of the Alysso-Sedion albi HR MED 5900 3.27 u x N/A N/A 0.10 minimum c 0.02 u x N/A - N/A N/A - N/A 0.10 - 0.10 XX u unk unk unk XX XX N/A N/A noChange noChange 4700 b 5.06
6110 - Rupicolous calcareous or basophilic grasslands of the Alysso-Sedion albi AT ALP 19500 19.46 = ≈ 1 3 N/A minimum b 0.15 x > N/A - N/A N/A - N/A 0.10 - 0.10 XX x good poor unk U1 U1 x U1 = noChange noInfo 6200 b 14.12
6110 - Rupicolous calcareous or basophilic grasslands of the Alysso-Sedion albi SI ALP 2389 2.38 = ≈ N/A N/A 76 minimum b 5.83 = ≈ 76 - 76 N/A - N/A N/A - N/A FV = good good good FV FV = FV N/A noChange noChange 2400 b 5.47
6110 - Rupicolous calcareous or basophilic grasslands of the Alysso-Sedion albi SI CON 3189 1.20 = ≈ N/A N/A 128 minimum b 5.90 - > 96 - 96 32 - 32 N/A - N/A XX x good poor unk U1 U1 x U1 = noChange noInfo 3100 b 2.39
6110 - Rupicolous calcareous or basophilic grasslands of the Alysso-Sedion albi SK ALP 7711.57 7.70 = ≈ N/A N/A 0.17 estimate b 0.01 = > 0.07 - 0.07 0.02 - 0.02 0.08 - 0.08 FV u good good good FV FV = FV N/A N/A knowledge 7900 b 18
6120 - Xeric sand calcareous grasslands NL ATL 3700 12.17 = >> N/A N/A 2.50 estimate a 23.89 = >> 0.40 - 1.50 1 - 2.10 N/A - N/A U2 - bad bad bad U2 U2 - U2 - noChange noChange 3400 a 21.12
6120 - Xeric sand calcareous grasslands DK CON 7553 2.08 = ≈ N/A N/A 1.24 estimate b 0.09 - >> 0.07 - 0.27 0.97 - 1.17 N/A - N/A U2 = good bad bad U2 U2 = U2 x N/A N/A 3600 b 1.08
6120 - Xeric sand calcareous grasslands PL CON 303000 83.28 = ≈ N/A N/A 65 estimate c 4.72 - > 1.30 - 26.30 38.80 - 63.80 N/A - N/A U2 - good poor bad U2 U2 - U2 - noChange noChange 292000 b 87.58
6120 - Xeric sand calcareous grasslands BE ATL 1600 5.26 = ≈ 0.34 0.37 0.37 estimate b 3.54 - >> 0 - 0 0.12 - 0.15 0.21 - 0.22 U2 - poor bad bad U2 U2 - U2 + noChange knowledge 1200 a 7.45
6120 - Xeric sand calcareous grasslands BE CON 1300 0.36 + ≈ 0.25 0.30 0.28 estimate a 0.02 + >> N/A - 0.02 0.26 - 0.28 N/A - N/A U2 + good bad poor U2 U2 + U2 + noChange noChange 800 a 0.24
6120 - Xeric sand calcareous grasslands SK PAN 885.16 100 - ≈ N/A N/A 0.37 estimate b 100 - > 0.17 - 0.17 0.20 - 0.20 N/A - N/A U1 u poor poor poor U1 U1 - U2 - knowledge N/A 1000 b 100
6120 - Xeric sand calcareous grasslands FR MED 7200 100 - x 27.20 27.20 27.20 estimate c 100 u ≈ N/A - N/A N/A - N/A 27.20 - 27.20 XX u poor unk unk XX XX x XX N/A noChange noChange 2800 b 100
6120 - Xeric sand calcareous grasslands FR CON 5875 1.61 - >> 2 2 2 estimate c 0.15 - >> 1.50 - 2 0.20 - 2 0.10 - 2 U2 x bad bad bad U2 U2 - U2 - noChange noChange 5700 b 1.71
6120 - Xeric sand calcareous grasslands SE CON 2200 0.60 = ≈ N/A N/A 0.76 estimate a 0.06 - >> 0.48 - 0.48 0.28 - 0.28 N/A - N/A U2 - good bad bad U2 U2 - U2 + noChange knowledge 1500 a 0.45
6120 - Xeric sand calcareous grasslands SE BOR 400 0.41 = ≈ N/A N/A 0.01 estimate a 0.11 - >> 0 - 0 0.01 - 0.01 N/A - N/A U2 = good bad bad U2 U2 - U2 + noChange knowledge 300 a 3.09
6120 - Xeric sand calcareous grasslands FR ATL 23900 78.63 + > 5 10 7.50 estimate c 71.66 u > 1.50 - 1.50 1.60 - 1.60 4.40 - 4.40 U1 x poor poor bad U2 U2 x U2 = noChange noChange 10800 b 67.08
6120 - Xeric sand calcareous grasslands 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
6120 - Xeric sand calcareous grasslands LT BOR 64787 66.30 = 64787 N/A N/A 1.60 estimate a 19.07 u >> 0.80 - 0.80 0.80 - 0.80 N/A - N/A U2 u good bad poor U2 U2 x U2 - knowledge knowledge 9400 a 96.91
6120 - Xeric sand calcareous grasslands DE ATL 1197 3.94 + ≈ 0.09 0.10 0.10 estimate b 0.92 = 0.14 0.07 - 0.07 0.02 - 0.02 N/A - N/A U2 - good bad bad U2 U2 - U2 - noChange noChange 700 b 4.35
6120 - Xeric sand calcareous grasslands DE CON 42003 11.54 - > 8.12 9.41 8.37 estimate a 0.61 - >> 3.76 - 4.36 3.07 - 3.66 0.27 - 1.47 U2 - poor bad bad U2 U2 - U1 = genuine method 28500 b 8.55
6120 - Xeric sand calcareous grasslands RO STE 100 100 = ≈ N/A N/A 100 interval b 100 = ≈ N/A - 50 N/A - N/A N/A - 50 FV = good good good FV FV = N/A N/A knowledge knowledge 100 a 100
6120 - Xeric sand calcareous grasslands RO CON 1900 0.52 = ≈ N/A N/A 1300 interval b 94.36 = ≈ 800 - 1000 N/A - 100 N/A - 200 FV = good good good FV FV = FV N/A noChange noChange 1300 a 0.39
6120 - Xeric sand calcareous grasslands RO BLS 400 100 = ≈ N/A N/A 400 interval b 100 = ≈ 200 - 350 N/A - N/A N/A - 50 FV = good good good FV FV = N/A N/A knowledge knowledge 100 a 100
6120 - Xeric sand calcareous grasslands LV BOR 32524 33.29 = x 5.82 7.74 N/A estimate b 80.82 u x N/A - N/A 2.91 - 3 2.82 - 2.91 U2 - good bad bad U2 U2 x U2 - knowledge knowledge N/A a 0
6130 - Calaminarian grasslands of the Violetalia calaminariae FR ALP 300 9.38 = ≈ 1 1 N/A estimate c 31.80 = ≈ 1 - 1 N/A - N/A 1 - 1 FV = good good unk FV FV = FV N/A noChange noChange 300 a 10.34
6130 - Calaminarian grasslands of the Violetalia calaminariae AT ALP 2800 87.50 = x 1 3 1.50 minimum b 47.69 x x 0.06 - 0.06 N/A - N/A 0.94 - 2.94 XX x unk unk unk XX XX U1 x noInfo noInfo 2500 b 86.21
6130 - Calaminarian grasslands of the Violetalia calaminariae PL CON 1500 10.50 = ≈ 0.12 0.15 0.13 estimate b 1.94 = ≈ 0.03 - 0.06 0.07 - 0.09 0.01 - 0.01 U2 - good poor bad U2 U2 - U2 - noChange noChange 900 b 10.98
6130 - Calaminarian grasslands of the Violetalia calaminariae BE CON 500 3.50 = ≈ 0.64 0.66 0.65 estimate b 9.39 = > N/A - N/A N/A - N/A 0.64 - 0.66 XX x good poor unk U1 U1 x U1 - noChange noInfo 500 b 6.10
6130 - Calaminarian grasslands of the Violetalia calaminariae IT CON 6100 42.69 + ≈ 2.58 5.76 N/A estimate b 60.19 + > 5.70 - 5.70 N/A - N/A 0 - 0 U1 = good good poor U1 U1 + XX N/A knowledge knowledge 1900 b 23.17
6130 - Calaminarian grasslands of the Violetalia calaminariae FR ATL 900 4.90 = ≈ 0.50 0.50 0.50 estimate a 9.58 - > 0.10 - 0.20 N/A - 0.50 0.30 - 0.40 U2 - good bad bad U2 U2 - U2 - noChange noChange 500 a 4.55
6130 - Calaminarian grasslands of the Violetalia calaminariae UK ATL 14884.82 81.08 = 14884.82 N/A N/A 4.22 estimate a 80.77 - > 1.81 - 1.81 1.04 - 1.04 2.25 - 2.25 U2 = good poor bad U2 U2 - U2 = noChange genuine 8400 a 76.36
6130 - Calaminarian grasslands of the Violetalia calaminariae IT ALP 6100 0 + > N/A 0.15 N/A estimate b 0 + > 0.15 - 0.15 N/A - N/A N/A - N/A U1 x unk unk unk XX U1 = N/A N/A noChange knowledge N/A b 0
6130 - Calaminarian grasslands of the Violetalia calaminariae AT CON 700 4.90 = x N/A N/A 0.50 estimate b 7.22 = x 0.08 - 0.08 0.12 - 0.12 0.30 - 0.30 U2 x unk unk bad U2 U2 = U1 x noChange knowledge 600 b 7.32
6130 - Calaminarian grasslands of the Violetalia calaminariae FR MED 100 1.02 = x N/A 1 N/A estimate c 7.89 = x N/A - 1 N/A - 1 N/A - 1 FV u good good good FV FV = FV N/A noChange noChange 100 a 2.33
6130 - Calaminarian grasslands of the Violetalia calaminariae NL ATL 100 0.54 = >> N/A N/A 0.01 estimate a 0.11 x >> N/A - N/A N/A - N/A N/A - N/A U2 - bad bad bad U2 U2 x U2 - noChange genuine 100 a 0.91
6130 - Calaminarian grasslands of the Violetalia calaminariae IE ATL 1900 10.35 - 2000 N/A N/A 0.06 estimate a 1.18 - ≈ 0.05 - 0.05 0.01 - 0.01 N/A - N/A U1 - poor poor poor U1 U1 - U1 = noChange knowledge 1600 a 14.55
6130 - Calaminarian grasslands of the Violetalia calaminariae DE ATL 574 3.13 = 574 0.44 0.44 0.44 estimate b 8.35 - > 0.11 - 0.17 0.01 - 0.05 0.20 - 0.31 U1 - good unk unk XX U1 - U1 x noChange genuine 400 a 3.64
6130 - Calaminarian grasslands of the Violetalia calaminariae SI ALP 100 3.13 = ≈ 0.50 0.79 N/A minimum c 20.51 = ≈ 0.50 - 0.79 N/A - N/A N/A - N/A FV = good good good FV FV = FV N/A noChange noChange 100 a 3.45
6130 - Calaminarian grasslands of the Violetalia calaminariae DE CON 5490 38.42 = 5490 1.43 1.53 1.47 estimate a 21.27 = > 1.14 - 1.30 0.18 - 0.33 N/A - N/A U1 - good poor unk U1 U1 - U1 - noChange noChange 4300 a 52.44
6130 - Calaminarian grasslands of the Violetalia calaminariae IT MED 9700 98.98 + ≈ 2.43 9.24 N/A estimate b 92.11 - > 1.50 - 1.50 N/A - N/A 0.06 - 0.06 U1 - poor poor poor U1 U2 - U1 x knowledge knowledge 4200 b 97.67
6140 - Siliceous Pyrenean Festuca eskia grasslands FR ALP 7100 45.22 = ≈ 550 550 N/A estimate c 49.75 = ≈ N/A - N/A N/A - N/A N/A - N/A FV x good good good FV FV = FV N/A noChange noChange 4100 b 41.84
6140 - Siliceous Pyrenean Festuca eskia grasslands ES ALP 8600 54.78 = ≈ N/A N/A 555.61 estimate b 50.25 = ≈ 0.05 - 0.05 N/A - N/A 237.75 - 555.56 XX = unk good good FV FV = U1 x method knowledge 5700 b 58.16
6150 - Siliceous alpine and boreal grasslands DE ALP 3109 1.70 = 3109 48 50 49 estimate b 0.35 = ≈ 43.20 - 45 0.80 - 0.93 2 - 4.07 FV = good good poor U1 U1 = U1 = noChange noChange 3500 b 2.86
6150 - Siliceous alpine and boreal grasslands FR ALP 17800 9.73 = ≈ N/A N/A 139 estimate c 0.99 = ≈ N/A - 139 N/A - 139 N/A - 139 FV = good good good FV FV = FV N/A N/A N/A 12700 a 10.38
6150 - Siliceous alpine and boreal grasslands SI ALP 1354 0.74 = ≈ N/A N/A 43.34 minimum c 0.31 = ≈ 43.34 - 43.34 N/A - N/A N/A - N/A FV = good good good FV FV = FV N/A noChange noChange 1700 c 1.39
6150 - Siliceous alpine and boreal grasslands IT ALP 45300 24.76 + ≈ 1362.66 2147.13 N/A estimate b 12.48 - > N/A - N/A N/A - N/A 1362.66 - 2147.13 XX = good poor poor U1 U1 = FV N/A knowledge knowledge 34700 b 28.35
6150 - Siliceous alpine and boreal grasslands AT ALP 24400 13.34 = ≈ 3700 4000 N/A estimate b 27.37 = ≈ 3700 - 4000 N/A - N/A N/A - N/A FV = good good good FV FV = FV N/A noChange noChange 22100 b 18.06
6150 - Siliceous alpine and boreal grasslands SE BOR 7800 47.56 = 7800 N/A N/A 75 estimate b 93.75 = 75 67.50 - 67.50 N/A - N/A 7.50 - 7.50 FV = good good good FV FV = FV N/A noChange noChange 1400 b 28
6150 - Siliceous alpine and boreal grasslands FI BOR 8600 52.44 = ≈ 4 6 N/A estimate b 6.25 = ≈ 3 - 5 N/A - N/A 1 - 1 FV = good good good FV FV = FV N/A noChange noChange 3600 a 72
6150 - Siliceous alpine and boreal grasslands SE ALP 61000 33.35 = 61000 N/A N/A 4450 estimate b 31.64 = 4450 4005 - 4005 N/A - N/A 445 - 445 FV = good good good FV FV = FV N/A noChange noChange 30100 b 24.59
6150 - Siliceous alpine and boreal grasslands FI ALP 17300 9.46 = ≈ 200 320 N/A estimate b 1.85 = ≈ 190 - 310 N/A - N/A 10 - 10 FV = good good good FV FV = FV N/A noChange noChange 9300 a 7.60
6150 - Siliceous alpine and boreal grasslands CZ CON 1100 10.14 = ≈ N/A N/A 8.57 estimate a 27.50 = ≈ 8.38 - 8.38 0.05 - 0.05 0.14 - 0.14 FV = good poor poor U1 U1 = FV N/A noChange noChange 600 a 18.75
6150 - Siliceous alpine and boreal grasslands RO ALP 5300 2.90 = ≈ N/A N/A 3400 interval b 24.17 = ≈ 1500 - 2800 100 - 400 100 - 200 FV = good good good FV FV = FV N/A knowledge knowledge 3400 a 2.78
6150 - Siliceous alpine and boreal grasslands PL ALP 800 0.44 = ≈ N/A N/A 7.30 estimate a 0.05 = ≈ 5.30 - 7.30 N/A - 2 N/A - N/A FV = good good good FV FV = FV N/A noChange noChange 300 a 0.25
6150 - Siliceous alpine and boreal grasslands PL CON 500 4.61 = ≈ N/A N/A 2.20 estimate a 7.06 = ≈ 1.10 - 2.20 N/A - 1.10 N/A - N/A U1 x good poor poor U1 U1 = U1 - noChange knowledge 200 a 6.25
6150 - Siliceous alpine and boreal grasslands DE CON 853 7.86 = 853 0.01 0.01 0.01 interval a 0.03 = 0.01 0.01 - 0.01 N/A - N/A N/A - N/A FV = good good good FV FV = U1 = method noChange 400 b 12.50
6150 - Siliceous alpine and boreal grasslands UK ATL 39961.42 100 = 39961.42 N/A N/A 712.22 estimate b 100 = 783.44 125.17 - 125.17 201.19 - 201.19 335.29 - 435.29 U2 + good poor bad U2 U2 + U2 = noChange genuine 21500 a 100
6150 - Siliceous alpine and boreal grasslands SK ALP 1366.94 0.75 = > N/A N/A 34.75 estimate b 0.25 = ≈ 10.46 - 10.46 0.77 - 0.77 23.51 - 23.51 FV u good good good FV U1 = U1 = N/A N/A 1500 b 1.23
6150 - Siliceous alpine and boreal grasslands BG ALP 5200 2.84 x 5200 N/A N/A 76.62 minimum b 0.54 = 76.62 N/A - N/A N/A - N/A 76.62 - 76.62 XX x poor poor poor U1 U1 x U1 = method method 3100 b 2.53
6150 - Siliceous alpine and boreal grasslands BG CON 4000 36.86 = 4000 N/A N/A 0.45 minimum b 1.45 = 0.45 N/A - N/A N/A - N/A 0.45 - 0.45 XX x poor poor poor U1 U1 = U1 = method method 700 b 21.88
6150 - Siliceous alpine and boreal grasslands IT CON 4400 40.54 + ≈ 10.69 29.20 N/A estimate b 63.96 + ≈ N/A - N/A N/A - N/A 10.69 - 29.20 XX - poor poor poor U1 U1 = U1 x noChange knowledge 1300 b 40.63
6150 - Siliceous alpine and boreal grasslands IT MED 900 0 x > N/A N/A 2.20 estimate b 0 x > 2.20 - 2.20 N/A - N/A N/A - N/A U1 x unk unk unk XX U1 x N/A N/A noChange noChange N/A b 0
6160 - Oro-Iberian Festuca indigesta grasslands ES ATL 12900 84.87 - x N/A N/A 131.68 estimate b 100 - ≈ 69.05 - 69.05 7.90 - 7.90 54.73 - 54.73 U1 - unk poor good U1 U1 - U2 x method knowledge 8000 b 86.02
6160 - Oro-Iberian Festuca indigesta grasslands PT ATL 2300 15.13 = ≈ N/A N/A N/A d 0 = ≈ N/A - N/A N/A - N/A N/A - N/A FV = good good good FV FV = FV N/A noChange knowledge 1300 c 13.98
6160 - Oro-Iberian Festuca indigesta grasslands PT MED 13000 29.35 = x N/A N/A N/A d 0 = ≈ N/A - N/A N/A - N/A N/A - N/A FV = good good good FV FV = XX N/A knowledge knowledge 5900 c 26.82
6160 - Oro-Iberian Festuca indigesta grasslands ES MED 31300 70.65 = ≈ N/A N/A 281.21 estimate b 100 = > 142.55 - 142.55 37.15 - 37.15 101.50 - 101.50 U1 = unk poor good U1 U1 = U2 - method knowledge 16100 b 73.18
6170 - Alpine and subalpine calcareous grasslands AT CON 200 0 = N/ N/A N/A 0.07 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 U1 x N/A N/A N/A b 0
6170 - Alpine and subalpine calcareous grasslands IT ALP 59200 28.98 + ≈ 1430.33 2701.66 N/A estimate b 22.86 - > N/A - N/A N/A - N/A 1430.33 - 2701.66 XX = good poor poor U1 U2 = FV N/A knowledge knowledge 41100 b 30.38
6170 - Alpine and subalpine calcareous grasslands HR MED 5500 4.06 = ≈ 70 87 N/A estimate a 3.78 = ≈ 12 - 12 N/A - N/A 58 - 75 XX = good good unk FV FV = N/A N/A noChange noChange 4000 a 5.37
6170 - Alpine and subalpine calcareous grasslands BG ALP 4100 2.01 x 4100 N/A N/A 25.05 minimum b 0.28 = 25.05 N/A - N/A N/A - N/A 25.05 - 25.05 XX x unk good unk XX XX U1 = method method 2100 b 1.55
6170 - Alpine and subalpine calcareous grasslands PL ALP 900 0.44 = ≈ N/A N/A 4 estimate a 0.04 = ≈ 2.80 - 4 N/A - 1.20 N/A - N/A FV = good good good FV FV = FV N/A noChange noChange 600 a 0.44
6170 - Alpine and subalpine calcareous grasslands UK ATL 20864.16 48.79 = 20864.16 N/A N/A 6.82 estimate b 2.72 = 6.82 1.62 - 1.62 5.20 - 5.20 N/A - N/A U2 - good good bad U2 U2 - U2 = noChange method 8400 a 39.25
6170 - Alpine and subalpine calcareous grasslands SE ALP 38100 18.65 = 38100 N/A N/A 1100 estimate b 12.17 = 1100 990 - 990 N/A - N/A 110 - 110 FV = good good good FV FV = FV N/A noChange noChange 19100 b 14.12
6170 - Alpine and subalpine calcareous grasslands IT CON 14300 92.26 + ≈ 126.65 135.86 N/A estimate b 85.53 = ≈ N/A - N/A N/A - N/A 126.65 - 135.86 XX = good good poor U1 U1 + FV N/A knowledge knowledge 5500 b 75.34
6170 - Alpine and subalpine calcareous grasslands SK ALP 3675.92 1.80 = > N/A N/A 8.03 estimate b 0.09 = ≈ 4.64 - 4.64 0.59 - 0.59 2.80 - 2.80 FV u good good good FV U1 = U1 = N/A N/A 3700 b 2.73
6170 - Alpine and subalpine calcareous grasslands AT ALP 29300 14.34 = ≈ 1000 2000 N/A estimate b 16.60 x > 1.80 - 1.80 0.14 - 0.14 998.06 - 1998.06 U1 x good poor poor U1 U1 x U1 x noChange noChange 23000 b 17
6170 - Alpine and subalpine calcareous grasslands ES ATL 21900 51.21 = ≈ N/A N/A 243.98 estimate b 97.28 - ≈ 45.08 - 45.08 4.11 - 4.11 194.79 - 194.79 XX - unk poor good U1 U1 - FV N/A knowledge knowledge 13000 b 60.75
6170 - Alpine and subalpine calcareous grasslands ES ALP 14600 7.15 x ≈ N/A N/A 333.06 estimate c 3.69 - > 6.39 - 6.39 N/A - N/A 326.67 - 326.67 XX - unk unk poor XX U2 - U1 x genuine knowledge 8200 b 6.06
6170 - Alpine and subalpine calcareous grasslands IT MED 16600 12.26 + ≈ 85.70 143.01 N/A estimate b 5.51 - > 86.02 - 86.02 0.06 - 0.06 0.05 - 0.05 FV = good poor poor U1 U1 = FV N/A knowledge knowledge 6200 b 8.32
6170 - Alpine and subalpine calcareous grasslands SI ALP 2682 1.31 = ≈ N/A N/A 106.60 minimum b 1.18 = ≈ 106.60 - 106.60 N/A - N/A N/A - N/A FV = good good good FV FV = FV N/A noChange noChange 3100 b 2.29
6170 - Alpine and subalpine calcareous grasslands GR MED 2922 2.16 = ≈ N/A N/A 556.62 estimate b 26.83 = ≈ 500.96 - 500.96 N/A - N/A 55.66 - 55.66 FV = good good good FV FV = FV N/A noChange noChange 11500 b 15.44
6170 - Alpine and subalpine calcareous grasslands HR ALP 6600 3.23 = ≈ 90 111 N/A estimate a 1.11 = ≈ 12.60 - 12.60 N/A - N/A 77.40 - 98.40 XX = good good unk FV FV = N/A N/A noChange noChange 4900 a 3.62
6170 - Alpine and subalpine calcareous grasslands RO ALP 5200 2.55 = ≈ N/A N/A 2500 interval b 27.66 = ≈ 2000 - 2200 N/A - 100 100 - 200 FV = good good good FV FV = FV N/A noChange noChange 2500 a 1.85
6170 - Alpine and subalpine calcareous grasslands ES MED 91000 67.20 x x N/A N/A 1093.33 estimate b 52.70 u x 85.99 - 85.99 27.90 - 27.90 979.43 - 979.43 XX - unk unk unk XX XX U1 x noInfo noInfo 43000 b 57.72
6170 - Alpine and subalpine calcareous grasslands FR ALP 36000 17.62 = ≈ 1000 1000 N/A estimate c 11.07 = ≈ 840 - 1990 10 - 100 850 - 2000 FV = good good good FV FV = FV N/A noChange noChange 22700 a 16.78
6170 - Alpine and subalpine calcareous grasslands FR CON 1200 7.74 = ≈ N/A N/A 22.21 estimate c 14.47 = ≈ N/A - N/A N/A - N/A 22.21 - 22.21 U1 - good poor poor U1 U1 - U1 - noChange noChange 1800 a 24.66
6170 - Alpine and subalpine calcareous grasslands FR MED 19400 14.33 = x 51 413 N/A estimate c 11.18 = x 51 - 413 51 - 413 51 - 413 U1 u good good poor U1 U1 = U1 = noChange noChange 9800 a 13.15
6170 - Alpine and subalpine calcareous grasslands DE ALP 3911 1.91 = 3911 280 300 294 estimate a 3.25 = 294 240 - 250 1 - 1.50 39 - 48.50 FV = good good poor U1 U1 = U1 = noChange noChange 4300 a 3.18
6180 - Macaronesian mesophile grasslands PT MAC 4100 100 = ≈ 120 200 180 estimate a 100 = ≈ 20 - 40 100 - 160 N/A - N/A U1 = good poor poor U1 U1 = U1 = noChange noChange 2700 a 100
6190 - Rupicolous pannonic grasslands (Stipo-Festucetalia pallentis) RO ALP 3700 29.44 = ≈ N/A N/A 2100 interval b 99.76 + ≈ 1500 - 1600 50 - 300 50 - 200 FV = good good good FV FV = FV N/A knowledge knowledge 1500 a 14.71
6190 - Rupicolous pannonic grasslands (Stipo-Festucetalia pallentis) CZ PAN 2200 11.97 = ≈ N/A N/A 0.22 estimate a 1.78 = ≈ 0.21 - 0.21 0.01 - 0.01 0.01 - 0.01 FV = good good good FV FV = FV N/A noChange noChange 900 a 4.92
6190 - Rupicolous pannonic grasslands (Stipo-Festucetalia pallentis) AT ALP 1700 13.53 = ≈ 0.40 0.60 N/A minimum b 0.02 x > 0.30 - 0.30 0 - 0 0.10 - 0.10 FV x good poor good U1 U1 x U1 x noChange noChange 1400 b 13.73
6190 - Rupicolous pannonic grasslands (Stipo-Festucetalia pallentis) SK ALP 7166.51 57.03 = ≈ N/A N/A 4.59 estimate b 0.22 = ≈ 0.73 - 0.73 0.11 - 0.11 3.75 - 3.75 FV u good good good FV FV = FV N/A N/A N/A 7300 b 71.57
6190 - Rupicolous pannonic grasslands (Stipo-Festucetalia pallentis) PL CON 2400 7.87 = ≈ 0.01 0.05 0.03 estimate a 0 = ≈ 0.01 - 0.02 0.01 - 0.02 N/A - N/A U1 = good poor poor U1 U1 = U2 = knowledge noChange 900 b 5.56
6190 - Rupicolous pannonic grasslands (Stipo-Festucetalia pallentis) AT CON 2800 9.18 = ≈ N/A N/A 20 estimate b 1.23 x ≈ 0.90 - 0.90 0.17 - 0.17 18.93 - 18.93 U1 x good good poor U1 U1 x U1 x noChange noChange 2400 b 14.81
6190 - Rupicolous pannonic grasslands (Stipo-Festucetalia pallentis) SK PAN 564.65 3.07 = ≈ N/A N/A 0.65 estimate b 5.28 = ≈ 0.07 - 0.07 0 - 0 0.58 - 0.58 FV u good good good FV FV = FV N/A N/A N/A 700 b 3.83
6190 - Rupicolous pannonic grasslands (Stipo-Festucetalia pallentis) CZ CON 21200 69.51 = ≈ N/A N/A 3.03 estimate a 0.19 = ≈ 2.29 - 2.29 0.11 - 0.11 0.11 - 0.11 U1 = poor poor poor U1 U1 = U1 + noChange noChange 11400 a 70.37
6190 - Rupicolous pannonic grasslands (Stipo-Festucetalia pallentis) RO CON 4100 13.44 = ≈ N/A N/A 1600 interval b 98.58 + ≈ 600 - 1100 N/A - 400 N/A - 100 FV = good good good FV FV = FV N/A knowledge knowledge 1500 a 9.26
6190 - Rupicolous pannonic grasslands (Stipo-Festucetalia pallentis) HU PAN 15608 84.95 = ≈ 10 13 N/A estimate b 92.94 - ≈ 7.50 - 10 2.50 - 3 N/A - N/A U1 = good poor poor U1 U1 - U1 = noChange genuine 16700 b 91.26
6210 - Semi-natural dry grasslands and scrubland facies on calcareous substrates (Festuco Brometalia)(*important orchid sites) RO CON 5900 0.81 = ≈ N/A N/A 3300 interval b 51.17 + ≈ 2000 - 2500 N/A - 200 N/A - 300 FV = good good good FV FV = FV N/A knowledge knowledge 2900 a 0.64
6210 - Semi-natural dry grasslands and scrubland facies on calcareous substrates (Festuco Brometalia)(*important orchid sites) AT ALP 29400 13.50 - ≈ 13.60 15.80 14.60 interval a 0.30 - > 9.90 - 11.50 3.70 - 4.30 N/A - N/A U2 - poor bad bad U2 U2 - U1 = genuine genuine 21800 a 15.52
6210 - Semi-natural dry grasslands and scrubland facies on calcareous substrates (Festuco Brometalia)(*important orchid sites) AT CON 19300 2.66 - > 3.35 4.60 3.90 interval a 0.06 - > 2.20 - 2.90 1.20 - 1.60 N/A - N/A U2 - poor bad bad U2 U2 - U1 = genuine genuine 14100 a 3.10
6210 - Semi-natural dry grasslands and scrubland facies on calcareous substrates (Festuco Brometalia)(*important orchid sites) UK ATL 128084.33 35.49 = 128084.33 N/A N/A 513.23 estimate a 30.24 + ≈ 135 - 135.81 187.35 - 187.35 190.88 - 190.88 U2 - good good bad U2 U2 = U2 = noChange noChange 68600 a 38.69
6210 - Semi-natural dry grasslands and scrubland facies on calcareous substrates (Festuco Brometalia)(*important orchid sites) BE CON 7000 0.96 = ≈ 4.80 5 N/A estimate a 0.08 + >> N/A - N/A N/A - N/A 4.80 - 5 U2 u good bad poor U2 U2 + U2 + noChange N/A 4900 a 1.08
6210 - Semi-natural dry grasslands and scrubland facies on calcareous substrates (Festuco Brometalia)(*important orchid sites) BE ATL 3000 0.83 = ≈ 0.22 0.24 0.23 estimate a 0.01 = >> N/A - N/A N/A - N/A 0.22 - 0.24 U2 x good bad bad U2 U2 x U2 + noChange N/A 1400 a 0.79
6210 - Semi-natural dry grasslands and scrubland facies on calcareous substrates (Festuco Brometalia)(*important orchid sites) SK PAN 3316.22 7.03 = ≈ N/A N/A 19.90 estimate b 17.53 - > 0.49 - 0.49 0.32 - 0.32 19.09 - 19.09 FV u good poor poor U1 U1 x U1 = N/A N/A 3500 b 7.59
6210 - Semi-natural dry grasslands and scrubland facies on calcareous substrates (Festuco Brometalia)(*important orchid sites) SK ALP 21264.99 9.76 - > N/A N/A 156.35 estimate b 3.20 = > 4.07 - 4.07 2.92 - 2.92 149.36 - 149.36 FV u poor poor poor U1 U1 x U1 = N/A N/A 21500 b 15.30
6210 - Semi-natural dry grasslands and scrubland facies on calcareous substrates (Festuco Brometalia)(*important orchid sites) BG ALP 25700 11.80 x 25700 N/A N/A 169.81 minimum b 3.48 - 169.81 N/A - N/A N/A - N/A 169.81 - 169.81 XX x poor poor poor U1 U1 x U1 = method method 11200 b 7.97
6210 - Semi-natural dry grasslands and scrubland facies on calcareous substrates (Festuco Brometalia)(*important orchid sites) BG BLS 8800 100 = 8800 N/A N/A 88.32 minimum b 100 - 88.32 N/A - N/A N/A - N/A 88.32 - 88.32 XX x poor poor poor U1 U1 x U1 = method method 5800 b 100
6210 - Semi-natural dry grasslands and scrubland facies on calcareous substrates (Festuco Brometalia)(*important orchid sites) BG CON 89500 12.32 + 89500 N/A N/A 868.49 minimum b 13.47 = 868.49 N/A - N/A N/A - N/A 868.49 - 868.49 XX x poor poor poor U1 U1 x U1 = method method 52300 b 11.51
6210 - Semi-natural dry grasslands and scrubland facies on calcareous substrates (Festuco Brometalia)(*important orchid sites) SI CON 12616 1.74 = 12616 N/A N/A 71 minimum b 1.10 - >> 42 - 42 29 - 29 N/A - N/A U2 - good bad poor U2 U2 - U2 - noChange knowledge 9500 b 2.09
6210 - Semi-natural dry grasslands and scrubland facies on calcareous substrates (Festuco Brometalia)(*important orchid sites) SI ALP 7656 3.51 = 7656 N/A N/A 106 minimum b 2.17 - >> 74 - 74 32 - 32 N/A - N/A U2 - good bad poor U2 U2 - U2 = noChange knowledge 5300 b 3.77
6210 - Semi-natural dry grasslands and scrubland facies on calcareous substrates (Festuco Brometalia)(*important orchid sites) SE CON 10700 1.47 = ≈ N/A N/A 62 estimate b 0.96 = >> 43 - 43 19 - 19 N/A - N/A U2 - good bad bad U2 U2 - U2 - noChange noChange 5200 b 1.14
6210 - Semi-natural dry grasslands and scrubland facies on calcareous substrates (Festuco Brometalia)(*important orchid sites) SE BOR 61000 26.87 = ≈ N/A N/A 100 estimate b 45.42 - >> 70 - 70 30 - 30 N/A - N/A U2 - good bad bad U2 U2 - U2 - noChange noChange 32100 b 34.08
6210 - Semi-natural dry grasslands and scrubland facies on calcareous substrates (Festuco Brometalia)(*important orchid sites) SE ALP 6600 3.03 = ≈ N/A N/A 0.50 estimate b 0.01 - >> 0.35 - 0.35 0.15 - 0.15 N/A - N/A U2 - good bad bad U2 U2 - U2 - noChange noChange 1500 b 1.07
6210 - Semi-natural dry grasslands and scrubland facies on calcareous substrates (Festuco Brometalia)(*important orchid sites) CZ CON 65600 9.03 = ≈ N/A N/A 126.56 estimate a 1.96 = ≈ 91.98 - 91.98 16.75 - 16.75 17.83 - 17.83 U2 = poor poor good U1 U2 = U2 + noChange genuine 50700 a 11.16
6210 - Semi-natural dry grasslands and scrubland facies on calcareous substrates (Festuco Brometalia)(*important orchid sites) CZ PAN 5800 12.30 = ≈ N/A N/A 8.65 estimate a 7.62 = ≈ 5.89 - 5.89 1.24 - 1.24 1.52 - 1.52 U1 = poor poor poor U1 U1 = U2 + knowledge genuine 2900 a 6.29
6210 - Semi-natural dry grasslands and scrubland facies on calcareous substrates (Festuco Brometalia)(*important orchid sites) HU PAN 38031 80.66 = ≈ 70 100 N/A estimate b 74.86 = > 35 - 65 20 - 20 15 - 15 U1 = good poor poor U1 U1 = U1 = noChange noChange 39700 b 86.12
6210 - Semi-natural dry grasslands and scrubland facies on calcareous substrates (Festuco Brometalia)(*important orchid sites) RO ALP 3000 1.38 = ≈ N/A N/A 2000 interval b 40.95 = ≈ 1000 - 1500 N/A - 100 100 - 400 FV = good good good FV FV = FV N/A knowledge knowledge 1200 a 0.85
6210 - Semi-natural dry grasslands and scrubland facies on calcareous substrates (Festuco Brometalia)(*important orchid sites) DE ALP 4089 1.88 = 4089 28 28 28 estimate a 0.57 = 29 11.62 - 19.18 3.92 - 7.28 4.90 - 9.10 U1 x good poor poor U1 U1 = U1 - noChange method 4800 b 3.42
6210 - Semi-natural dry grasslands and scrubland facies on calcareous substrates (Festuco Brometalia)(*important orchid sites) DE ATL 6705 1.86 = ≈ 4.79 4.86 4.82 minimum b 0.28 - > 0.43 - 0.43 3.99 - 3.99 0.40 - 0.40 U2 - good bad bad U2 U2 - U1 x genuine genuine 4900 b 2.76
6210 - Semi-natural dry grasslands and scrubland facies on calcareous substrates (Festuco Brometalia)(*important orchid sites) DE CON 174893 24.08 = ≈ 250.71 324.80 293.02 estimate b 4.54 - > 147.81 - 274.50 57.31 - 106.43 N/A - N/A U2 - good poor bad U2 U2 - U1 - genuine noChange 142400 b 31.34
6210 - Semi-natural dry grasslands and scrubland facies on calcareous substrates (Festuco Brometalia)(*important orchid sites) PT MED 18100 7.31 = ≈ 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 11800 c 7.93
6210 - Semi-natural dry grasslands and scrubland facies on calcareous substrates (Festuco Brometalia)(*important orchid sites) DK ATL 9420 2.61 = ≈ N/A N/A 3 estimate b 0.18 - >> 0.36 - 1.51 1.49 - 2.64 N/A - N/A U2 - good bad bad U2 U2 - U2 x N/A N/A 2600 b 1.47
6210 - Semi-natural dry grasslands and scrubland facies on calcareous substrates (Festuco Brometalia)(*important orchid sites) DK CON 29440 4.05 = ≈ N/A N/A 38 estimate b 0.59 - >> 10.78 - 26.01 11.99 - 27.22 N/A - N/A U2 - good bad bad U2 U2 - U2 x N/A N/A 19200 b 4.23
6210 - Semi-natural dry grasslands and scrubland facies on calcareous substrates (Festuco Brometalia)(*important orchid sites) PL CON 56000 7.71 = ≈ 30 40.60 35.30 estimate b 0.55 u ≈ 5.50 - 25.20 10.10 - 29.80 N/A - N/A U1 u good good good FV U1 x U1 + noChange knowledge 29500 b 6.49
6210 - Semi-natural dry grasslands and scrubland facies on calcareous substrates (Festuco Brometalia)(*important orchid sites) EE BOR 32000 14.10 = ≈ 30 50 N/A estimate b 18.17 = ≈ 25 - 30 10 - 20 6 - 6 U1 u good poor poor U1 U1 = U1 = method noChange 20800 a 22.08
6210 - Semi-natural dry grasslands and scrubland facies on calcareous substrates (Festuco Brometalia)(*important orchid sites) PL ALP 1700 0.78 = ≈ N/A N/A 0.42 estimate b 0.01 u ≈ 0.03 - 0.29 0.13 - 0.39 N/A - N/A U1 u unk poor poor U1 U1 x U2 + knowledge knowledge 700 b 0.50
6210 - Semi-natural dry grasslands and scrubland facies on calcareous substrates (Festuco Brometalia)(*important orchid sites) ES ALP 16500 7.58 = ≈ N/A N/A 513.72 estimate b 10.52 - ≈ N/A - N/A N/A - N/A 513.72 - 513.72 XX x unk good poor U1 U1 x U2 - method method 9800 b 6.98
6210 - Semi-natural dry grasslands and scrubland facies on calcareous substrates (Festuco Brometalia)(*important orchid sites) ES ATL 37200 10.31 = ≈ N/A N/A 314.02 estimate b 18.50 = ≈ 106.11 - 106.11 60.79 - 60.79 147.12 - 147.12 U1 = good poor poor U1 U1 = U2 - knowledge knowledge 26300 b 14.83
6210 - Semi-natural dry grasslands and scrubland facies on calcareous substrates (Festuco Brometalia)(*important orchid sites) ES MED 69600 28.11 = ≈ N/A N/A 396.34 estimate b 11.90 - > 53.92 - 53.92 92.31 - 92.31 250.11 - 250.11 U1 - unk poor poor U1 U2 - U2 x noChange knowledge 33000 b 22.18
6210 - Semi-natural dry grasslands and scrubland facies on calcareous substrates (Festuco Brometalia)(*important orchid sites) NL ATL 500 0.14 = ≈ N/A N/A 0.52 estimate a 0.03 = >> 0.16 - 0.45 0.07 - 0.36 N/A - N/A U2 + good bad bad U2 U2 + U2 = noChange genuine 400 a 0.23
6210 - Semi-natural dry grasslands and scrubland facies on calcareous substrates (Festuco Brometalia)(*important orchid sites) LV BOR 57518 25.34 = x 44.55 58 N/A estimate b 23.29 - x N/A - N/A 13.37 - 22.28 2.28 - 31.18 U2 - good poor bad U2 U2 - U2 - knowledge knowledge N/A a 0
6210 - Semi-natural dry grasslands and scrubland facies on calcareous substrates (Festuco Brometalia)(*important orchid sites) LU CON 2900 0.40 = ≈ 2.14 2.67 N/A estimate b 0.04 - 4.10 1.72 - 2.03 0.39 - 0.61 N/A - N/A U2 - good bad bad U2 U2 - U2 x genuine genuine 1900 a 0.42
6210 - Semi-natural dry grasslands and scrubland facies on calcareous substrates (Festuco Brometalia)(*important orchid sites) FI BOR 11700 5.15 = ≈ 0.70 1.70 1.40 estimate b 0.64 = > 0.13 - 0.13 1.27 - 1.27 0.30 - 0.30 U2 = good bad bad U2 U2 = U2 - noChange method 6400 b 6.79
6210 - Semi-natural dry grasslands and scrubland facies on calcareous substrates (Festuco Brometalia)(*important orchid sites) LT BOR 64787 28.54 = 64787 N/A N/A 27.50 estimate a 12.49 u > 13.70 - 13.70 13.70 - 13.70 N/A - N/A U2 u good bad poor U2 U2 x U2 - knowledge knowledge 34900 a 37.05
6210 - Semi-natural dry grasslands and scrubland facies on calcareous substrates (Festuco Brometalia)(*important orchid sites) FR ALP 40200 18.46 = ≈ 100 1000 550 estimate c 11.26 = ≈ 95 - 1000 5 - 95 100 - 1000 FV u good poor unk U1 U1 = U1 = noChange noChange 24100 a 17.15
6210 - Semi-natural dry grasslands and scrubland facies on calcareous substrates (Festuco Brometalia)(*important orchid sites) FR ATL 153700 42.59 = 67408 194.58 1500 N/A minimum c 49.92 - x 102 - 787 57 - 440 17 - 128 U2 x good poor poor U1 U2 - U2 - N/A noChange 61200 a 34.52
6210 - Semi-natural dry grasslands and scrubland facies on calcareous substrates (Festuco Brometalia)(*important orchid sites) FR CON 162100 22.32 = ≈ 290 600 N/A estimate c 6.90 - >> 176.10 - 176.10 87.70 - 87.70 25.50 - 336.20 U1 - good bad poor U2 U2 - U2 - noChange noChange 68200 a 15.01
6210 - Semi-natural dry grasslands and scrubland facies on calcareous substrates (Festuco Brometalia)(*important orchid sites) FR MED 45100 18.21 = x 229 338 N/A estimate c 8.51 - x N/A - N/A N/A - N/A 229 - 338 U1 u good poor poor U1 U2 - U2 - noChange noChange 24300 a 16.33
6210 - Semi-natural dry grasslands and scrubland facies on calcareous substrates (Festuco Brometalia)(*important orchid sites) IT MED 110400 44.59 - > 1178.64 4015.25 N/A estimate b 77.94 - >> 1375.85 - 1375.85 73.93 - 73.93 14.83 - 14.83 U1 - poor bad bad U2 U2 - U1 - knowledge noChange 77200 b 51.88
6210 - Semi-natural dry grasslands and scrubland facies on calcareous substrates (Festuco Brometalia)(*important orchid sites) IT CON 74800 10.30 + ≈ 744.78 1218.47 N/A estimate b 15.22 - > 389.12 - 389.12 26.80 - 26.80 0.53 - 0.53 U1 - good bad bad U2 U2 - U1 - knowledge noChange 39600 b 8.72
6210 - Semi-natural dry grasslands and scrubland facies on calcareous substrates (Festuco Brometalia)(*important orchid sites) IT ALP 50400 23.14 + ≈ 854.91 1173.21 N/A estimate b 20.77 - > 350.55 - 350.55 73.90 - 73.90 2.15 - 2.15 U1 - good poor bad U2 U2 - U1 - knowledge noChange 29900 b 21.28
6210 - Semi-natural dry grasslands and scrubland facies on calcareous substrates (Festuco Brometalia)(*important orchid sites) IE ATL 22300 6.18 = 22300 N/A N/A 14.16 minimum a 0.83 - >> 11.75 - 11.75 2.41 - 2.41 N/A - N/A U1 = poor bad poor U2 U2 - U2 = noChange knowledge 11900 a 6.71
6210 - Semi-natural dry grasslands and scrubland facies on calcareous substrates (Festuco Brometalia)(*important orchid sites) HR ALP 11300 5.19 = ≈ 300 360 N/A estimate a 6.76 = ≈ 10 - 15 5 - 10 285 - 335 XX = good good unk FV FV = N/A N/A noChange noChange 8700 a 6.19
6210 - Semi-natural dry grasslands and scrubland facies on calcareous substrates (Festuco Brometalia)(*important orchid sites) HR CON 15500 2.13 = ≈ 185 250 N/A estimate a 3.37 = > 5 - 10 3 - 4 177 - 230 XX = good poor unk U1 U1 = N/A N/A noChange noChange 13900 a 3.06
6210 - Semi-natural dry grasslands and scrubland facies on calcareous substrates (Festuco Brometalia)(*important orchid sites) HR MED 4400 1.78 = ≈ 50 60 N/A estimate a 1.65 = ≈ N/A - N/A N/A - N/A 50 - 60 XX u good good unk FV FV = N/A N/A noChange noChange 2500 a 1.68
6220 - Pseudo-steppe with grasses and annuals of the Thero-Brachypodietea GR MED 3963 0.55 = ≈ N/A N/A 1039.62 estimate b 3.71 = ≈ 935.66 - 935.66 N/A - N/A 103.96 - 103.96 FV = good good good FV FV = FV N/A noChange noChange 33000 b 5.78
6220 - Pseudo-steppe with grasses and annuals of the Thero-Brachypodietea BG ALP 4400 35.48 x 4400 N/A N/A 26.18 minimum b 63.94 - 26.18 N/A - N/A N/A - N/A 26.18 - 26.18 XX x poor poor poor U1 U1 x U1 = method method 2200 b 50
6220 - Pseudo-steppe with grasses and annuals of the Thero-Brachypodietea BG BLS 6400 100 x 6400 N/A N/A 106.31 minimum b 100 - 106.31 N/A - N/A N/A - N/A 106.31 - 106.31 XX x poor poor poor U1 U1 x U1 = method method 4700 b 100
6220 - Pseudo-steppe with grasses and annuals of the Thero-Brachypodietea BG CON 27400 44.76 + 27400 N/A N/A 302.94 minimum b 61 = 302.94 N/A - N/A N/A - N/A 302.94 - 302.94 XX x poor poor poor U1 U1 x U1 = method method 16700 b 46.26
6220 - Pseudo-steppe with grasses and annuals of the Thero-Brachypodietea ES ATL 46500 86.92 = ≈ N/A N/A 22.38 estimate b 78.86 = x 0.90 - 0.90 1.52 - 1.52 19.96 - 19.96 XX = good poor unk U1 U1 = U1 x noChange knowledge 27400 b 90.43
6220 - Pseudo-steppe with grasses and annuals of the Thero-Brachypodietea CY MED 2943 0.41 = ≈ 7.17 22.03 N/A estimate a 0.05 = ≈ 3.82 - 11.73 1.79 - 5.51 N/A - N/A U1 = good good poor U1 U1 = FV N/A knowledge knowledge 1500 a 0.26
6220 - Pseudo-steppe with grasses and annuals of the Thero-Brachypodietea MT MED 205 0.03 = ≈ N/A N/A 9.56 estimate b 0.03 = ≈ 4.67 - 4.67 4.90 - 4.90 N/A - N/A U2 = good good bad U2 U2 = FV N/A knowledge noChange 1000 b 0.18
6220 - Pseudo-steppe with grasses and annuals of the Thero-Brachypodietea PT MED 46300 6.38 = ≈ 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 23000 c 4.03
6220 - Pseudo-steppe with grasses and annuals of the Thero-Brachypodietea ES MED 412800 56.87 + ≈ N/A N/A 23246.05 estimate b 83 + x 7084.30 - 7084.30 3176.84 - 3176.84 12984.90 - 12984.90 U1 = unk poor unk XX U1 + U1 x noChange method 317500 b 55.63
6220 - Pseudo-steppe with grasses and annuals of the Thero-Brachypodietea ES ALP 2400 19.35 = ≈ N/A N/A 0.25 estimate a 0.60 x ≈ N/A - N/A N/A - N/A 0.25 - 0.25 XX x good good good FV XX U1 x method method 100 b 2.27
6220 - Pseudo-steppe with grasses and annuals of the Thero-Brachypodietea IT ALP 5600 45.16 = ≈ 13.91 15.13 N/A estimate b 35.46 = > 13.79 - 13.79 0.12 - 0.12 N/A - N/A U1 = poor poor poor U1 U1 = XX N/A knowledge knowledge 2100 b 47.73
6220 - Pseudo-steppe with grasses and annuals of the Thero-Brachypodietea IT CON 33800 55.22 = ≈ 37.83 325.50 N/A estimate b 36.58 - >> 28.23 - 28.23 1.70 - 1.70 0.84 - 0.84 U1 - poor bad bad U2 U2 - U1 - knowledge noChange 18800 b 52.08
6220 - Pseudo-steppe with grasses and annuals of the Thero-Brachypodietea FR MED 54400 7.49 = x 237 286 N/A estimate c 0.93 - x N/A - N/A N/A - N/A 237 - 286 U1 u good poor poor U2 U2 - U2 - noChange noChange 38900 a 6.82
6220 - Pseudo-steppe with grasses and annuals of the Thero-Brachypodietea FR CON 12 0.02 - > N/A N/A 12 estimate d 2.42 - >> N/A - N/A N/A - N/A 12 - 12 XX x poor poor unk U1 U2 - U2 x noChange noChange 600 a 1.66
6220 - Pseudo-steppe with grasses and annuals of the Thero-Brachypodietea IT MED 185300 25.53 = ≈ 1227.25 4346.36 N/A estimate b 9.95 - >> 1229.07 - 1229.07 187.93 - 187.93 57.31 - 57.31 U1 - poor bad bad U2 U2 - FV N/A knowledge knowledge 135800 b 23.80
6220 - Pseudo-steppe with grasses and annuals of the Thero-Brachypodietea FR ATL 7000 13.08 - > 2 10 N/A estimate c 21.14 - >> 2 - 5 2 - 5 2 - 5 U2 x poor poor unk U1 U2 - U2 - noChange noChange 2900 a 9.57
6220 - Pseudo-steppe with grasses and annuals of the Thero-Brachypodietea HR MED 20000 2.76 = ≈ 530 766 N/A estimate a 2.31 = ≈ 35 - 50 20 - 25 475 - 690 XX u good good unk FV FV = N/A N/A noChange noChange 20000 a 3.50
6230 - Species-rich Nardus grasslands, on siliceous substrates in mountain areas (and submountain areas, in Continental Europe) SE CON 22200 5.75 = ≈ N/A N/A 5 estimate b 0.66 - >> 2.50 - 2.50 2.50 - 2.50 N/A - N/A U2 - good bad bad U2 U2 - U2 - noChange noChange 10900 b 4.76
6230 - Species-rich Nardus grasslands, on siliceous substrates in mountain areas (and submountain areas, in Continental Europe) SI ALP 5437 2.50 = ≈ N/A N/A 75 minimum b 1.12 - ≈ 60 - 60 15 - 15 N/A - N/A U1 - good poor poor U1 U1 - U1 - noChange noChange 5700 b 4.07
6230 - Species-rich Nardus grasslands, on siliceous substrates in mountain areas (and submountain areas, in Continental Europe) LV BOR 41506 15.04 = x 4.86 6.32 N/A estimate b 27.60 - x N/A - N/A 1.46 - 2.43 2.43 - 3.40 U2 - good poor bad U2 U2 - U2 - knowledge knowledge N/A a 0
6230 - Species-rich Nardus grasslands, on siliceous substrates in mountain areas (and submountain areas, in Continental Europe) PT MED 8300 7.29 = x 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 - genuine noChange 2700 c 4.93
6230 - Species-rich Nardus grasslands, on siliceous substrates in mountain areas (and submountain areas, in Continental Europe) LU CON 900 0.23 = > 0.07 0.07 N/A estimate b 0.01 - 0.13 0.07 - 0.07 N/A - N/A N/A - N/A U1 - poor bad poor U2 U2 - U2 + noChange genuine 500 a 0.22
6230 - Species-rich Nardus grasslands, on siliceous substrates in mountain areas (and submountain areas, in Continental Europe) DE CON 116686 30.22 - > 54.55 60.44 58.06 estimate b 7.68 - > 42.96 - 49.93 8.13 - 15.09 N/A - N/A U1 - poor poor poor U1 U1 - U1 - noChange noChange 87200 b 38.08
6230 - Species-rich Nardus grasslands, on siliceous substrates in mountain areas (and submountain areas, in Continental Europe) DE ATL 23329 8.84 = ≈ 5.26 5.30 5.28 estimate b 0.96 - 6.47 2.17 - 3.61 1.39 - 2.57 0.29 - 0.54 U2 x poor bad bad U2 U2 - U2 - noChange noChange 15600 b 12.23
6230 - Species-rich Nardus grasslands, on siliceous substrates in mountain areas (and submountain areas, in Continental Europe) AT CON 9500 2.46 - >> 4.30 6.10 5.10 interval a 0.68 - >> 3.60 - 5.20 0.60 - 0.90 N/A - N/A U1 x bad bad poor U2 U2 - U2 - noChange noChange 7900 b 3.45
6230 - Species-rich Nardus grasslands, on siliceous substrates in mountain areas (and submountain areas, in Continental Europe) LT BOR 64787 23.47 = 64787 N/A N/A 2.16 estimate a 10.67 u > 0.78 - 0.78 1.80 - 1.80 N/A - N/A U2 u good bad poor U2 U2 x U2 - knowledge knowledge 12500 a 14.48
6230 - Species-rich Nardus grasslands, on siliceous substrates in mountain areas (and submountain areas, in Continental Europe) FI BOR 19500 7.07 = > N/A N/A 0.50 estimate c 2.47 = > 0.10 - 0.10 0.40 - 0.40 N/A - N/A U2 = poor bad bad U2 U2 = U2 - noChange method 7300 b 8.46
6230 - Species-rich Nardus grasslands, on siliceous substrates in mountain areas (and submountain areas, in Continental Europe) DE ALP 3930 1.81 = ≈ 1.50 3 2.25 estimate b 0.03 - > 1.40 - 1.80 0.10 - 0.20 N/A - N/A U1 - good poor poor U1 U1 - U1 - noChange noChange 4100 b 2.93
6230 - Species-rich Nardus grasslands, on siliceous substrates in mountain areas (and submountain areas, in Continental Europe) AT ALP 34800 16.03 x > 32.90 40.60 36.60 interval a 0.55 - > 31.80 - 39.30 1.10 - 1.30 N/A - N/A FV x poor poor poor U1 U1 x U1 = N/A N/A 25100 b 17.92
6230 - Species-rich Nardus grasslands, on siliceous substrates in mountain areas (and submountain areas, in Continental Europe) RO ALP 11000 5.07 = ≈ N/A N/A 4800 interval b 71.48 = ≈ 3000 - 4100 N/A - 400 N/A - 300 FV = good good good FV FV = FV N/A knowledge knowledge 4500 a 3.21
6230 - Species-rich Nardus grasslands, on siliceous substrates in mountain areas (and submountain areas, in Continental Europe) IT MED 17000 14.93 = ≈ 11.63 17.36 N/A estimate b 2.70 - > 8.36 - 8.36 1.05 - 1.05 4.09 - 4.09 U1 - poor bad bad U2 U2 - U1 - knowledge noChange 7000 b 12.77
6230 - Species-rich Nardus grasslands, on siliceous substrates in mountain areas (and submountain areas, in Continental Europe) IT CON 15300 3.96 = ≈ 26.21 67.25 N/A estimate b 6.19 - >> 23.70 - 23.70 0.60 - 0.60 0.75 - 0.75 U1 - poor bad bad U2 U2 - U1 - knowledge noChange 5700 b 2.49
6230 - Species-rich Nardus grasslands, on siliceous substrates in mountain areas (and submountain areas, in Continental Europe) IT ALP 57200 26.34 = > 516.46 742.40 N/A estimate b 9.37 + ≈ 338.50 - 338.50 17.91 - 17.91 2.24 - 2.24 U1 = good poor poor U1 U1 = U2 - knowledge knowledge 40400 b 28.84
6230 - Species-rich Nardus grasslands, on siliceous substrates in mountain areas (and submountain areas, in Continental Europe) CZ CON 67200 17.40 = ≈ N/A N/A 88.32 estimate a 11.69 = ≈ 57.43 - 57.43 14.02 - 14.02 16.87 - 16.87 U2 - poor poor poor U2 U2 - U2 - knowledge knowledge 43400 a 18.95
6230 - Species-rich Nardus grasslands, on siliceous substrates in mountain areas (and submountain areas, in Continental Europe) SE ALP 14500 6.68 = ≈ N/A N/A 0.50 estimate b 0.01 - >> 0.25 - 0.25 0.25 - 0.25 N/A - N/A U2 - good bad bad U2 U2 - U2 - noChange noChange 2500 b 1.78
6230 - Species-rich Nardus grasslands, on siliceous substrates in mountain areas (and submountain areas, in Continental Europe) SE BOR 150200 54.42 = ≈ N/A N/A 12 estimate b 59.26 - >> 6 - 6 6 - 6 N/A - N/A U2 - good bad bad U2 U2 - U2 - noChange noChange 66500 b 77.06
6230 - Species-rich Nardus grasslands, on siliceous substrates in mountain areas (and submountain areas, in Continental Europe) FR MED 22100 19.41 = x 31 175 N/A estimate c 19.22 = x 31 - 175 31 - 175 31 - 175 U1 u good good poor U1 U1 = U1 = noChange noChange 5500 a 10.04
6230 - Species-rich Nardus grasslands, on siliceous substrates in mountain areas (and submountain areas, in Continental Europe) HU PAN 1055 100 - >> 0.07 0.10 N/A estimate a 100 - >> 0.06 - 0.08 0.01 - 0.02 N/A - N/A U1 - bad bad bad U2 U2 - U2 - noChange noChange 1300 a 100
6230 - Species-rich Nardus grasslands, on siliceous substrates in mountain areas (and submountain areas, in Continental Europe) FR ALP 37300 17.18 = ≈ 100 1000 N/A estimate c 8.19 = ≈ 100 - 1000 1 - 100 100 - 1000 FV = good good unk FV FV = FV N/A noChange noChange 19300 a 13.78
6230 - Species-rich Nardus grasslands, on siliceous substrates in mountain areas (and submountain areas, in Continental Europe) FR ATL 78600 29.80 = ≈ 41 290 N/A estimate c 29.95 u >> N/A - 290 N/A - 290 N/A - 290 U2 u good bad poor U2 U2 x U2 - noChange noChange 27600 a 21.63
6230 - Species-rich Nardus grasslands, on siliceous substrates in mountain areas (and submountain areas, in Continental Europe) FR CON 82100 21.26 - > N/A N/A 355 estimate c 46.99 - > N/A - N/A N/A - N/A 35500 - 35500 XX x bad bad bad U2 U2 - U1 - noChange noChange 33000 a 14.41
6230 - Species-rich Nardus grasslands, on siliceous substrates in mountain areas (and submountain areas, in Continental Europe) HR ALP 3400 1.57 = ≈ N/A N/A 0.70 estimate a 0.01 - >> N/A - N/A 0.50 - 0.50 0.20 - 0.20 U2 - good bad bad U2 U2 - N/A N/A noChange noChange 2400 a 1.71
6230 - Species-rich Nardus grasslands, on siliceous substrates in mountain areas (and submountain areas, in Continental Europe) HR CON 800 0.21 u > N/A N/A 0.10 estimate a 0.01 u >> N/A - N/A N/A - N/A 0.10 - 0.10 U1 u poor bad unk U2 U2 x N/A N/A noChange noChange 800 a 0.35
6230 - Species-rich Nardus grasslands, on siliceous substrates in mountain areas (and submountain areas, in Continental Europe) HR MED 3000 2.63 = ≈ N/A N/A 0.40 estimate a 0.07 x >> 0.40 - 0.40 N/A - N/A N/A - N/A XX x good bad unk U2 U2 x N/A N/A noChange noChange 2000 a 3.65
6230 - Species-rich Nardus grasslands, on siliceous substrates in mountain areas (and submountain areas, in Continental Europe) BG CON 15800 4.09 u 15800 N/A N/A 61.41 minimum b 8.13 - 61.41 N/A - N/A N/A - N/A 61.41 - 61.41 XX x poor poor poor U1 U1 x U1 = method method 3900 b 1.70
6230 - Species-rich Nardus grasslands, on siliceous substrates in mountain areas (and submountain areas, in Continental Europe) BG ALP 16500 7.60 + 16500 N/A N/A 237.55 minimum b 3.54 - 237.55 N/A - N/A N/A - N/A 237.55 - 237.55 XX x poor poor poor U1 U1 x U1 = method method 9600 b 6.85
6230 - Species-rich Nardus grasslands, on siliceous substrates in mountain areas (and submountain areas, in Continental Europe) SK ALP 15956.76 7.35 = ≈ N/A N/A 213.11 estimate b 3.17 - ≈ 12.87 - 12.87 11.04 - 11.04 189.19 - 189.19 FV u good poor poor U1 U1 x U1 - N/A N/A 16700 b 11.92
6230 - Species-rich Nardus grasslands, on siliceous substrates in mountain areas (and submountain areas, in Continental Europe) BE CON 8600 2.23 = ≈ 6 6.40 6.22 estimate b 0.82 + >> N/A - N/A N/A - N/A 6.40 - 6.40 U2 = good bad bad U2 U2 + U2 + noChange noChange 5900 b 2.58
6230 - Species-rich Nardus grasslands, on siliceous substrates in mountain areas (and submountain areas, in Continental Europe) BE ATL 14200 5.38 = ≈ 5.75 6.69 5.96 estimate a 1.08 u >> 2.30 - 3.98 1.98 - 3.66 N/A - N/A U2 x poor poor bad U2 U2 x U2 = noChange method 10200 b 7.99
6230 - Species-rich Nardus grasslands, on siliceous substrates in mountain areas (and submountain areas, in Continental Europe) UK ATL 68795.94 26.08 = 68795.94 N/A N/A 51.26 estimate b 9.28 = 51.49 5.36 - 5.36 42.37 - 42.37 3.55 - 3.55 U2 + good poor bad U2 U2 + U2 - noChange genuine 23300 a 18.26
6230 - Species-rich Nardus grasslands, on siliceous substrates in mountain areas (and submountain areas, in Continental Europe) GR MED 1257 1.10 = ≈ N/A N/A 163.66 minimum b 30.54 = ≈ 147.29 - 147.29 N/A - N/A 16.37 - 16.37 FV = good good good FV FV = FV N/A noChange noChange 9100 b 16.61
6230 - Species-rich Nardus grasslands, on siliceous substrates in mountain areas (and submountain areas, in Continental Europe) IE ATL 12700 4.81 = 12700 N/A N/A 6.11 minimum b 1.11 = >> 0.55 - 1.53 4.58 - 5.56 N/A - N/A U2 = good bad bad U2 U2 = U2 - noChange genuine 8000 b 6.27
6230 - Species-rich Nardus grasslands, on siliceous substrates in mountain areas (and submountain areas, in Continental Europe) PL ALP 6900 3.18 u ≈ 4.50 10 7.25 estimate b 0.11 - > 1.10 - 2.70 4.50 - 6.10 N/A - N/A U2 - good poor poor U1 U2 - U2 - noChange noChange 3100 b 2.21
6230 - Species-rich Nardus grasslands, on siliceous substrates in mountain areas (and submountain areas, in Continental Europe) ES ALP 10200 4.70 = ≈ N/A N/A 162.49 estimate b 2.42 = ≈ N/A - N/A N/A - N/A 162.49 - 162.49 XX x good good unk FV FV = XX N/A knowledge knowledge 6700 b 4.78
6230 - Species-rich Nardus grasslands, on siliceous substrates in mountain areas (and submountain areas, in Continental Europe) ES ATL 37300 14.14 = ≈ N/A N/A 267.28 estimate b 48.37 = ≈ 107.13 - 107.13 17.01 - 17.01 143.14 - 143.14 U1 = poor poor poor U1 U1 = XX N/A knowledge knowledge 21900 b 17.16
6230 - Species-rich Nardus grasslands, on siliceous substrates in mountain areas (and submountain areas, in Continental Europe) ES MED 62200 54.63 x x N/A N/A 254.37 estimate b 47.46 = ≈ 121.36 - 121.36 80.63 - 80.63 52.39 - 52.39 U2 - unk unk poor XX U2 x XX N/A method method 28500 b 52.01
6230 - Species-rich Nardus grasslands, on siliceous substrates in mountain areas (and submountain areas, in Continental Europe) PL CON 17500 4.53 = ≈ 7 20 13.50 estimate c 1.79 - > 3.30 - 8.70 4.80 - 10.20 N/A - N/A U2 = good poor poor U1 U2 - U2 - noChange noChange 8400 b 3.67
6230 - Species-rich Nardus grasslands, on siliceous substrates in mountain areas (and submountain areas, in Continental Europe) DK CON 29540 7.65 = ≈ N/A N/A 116 estimate b 15.35 = ≈ 27.16 - 79.64 36.36 - 88.84 N/A - N/A U2 - good good bad U2 U2 - U2 x N/A N/A 21400 b 9.34
6230 - Species-rich Nardus grasslands, on siliceous substrates in mountain areas (and submountain areas, in Continental Europe) NL ATL 13200 5 = > N/A N/A 7.70 estimate b 1.39 = >> 1.90 - 6 1.70 - 5.80 N/A - N/A U2 - bad bad bad U2 U2 - U2 - noChange noChange 10900 a 8.54
6230 - Species-rich Nardus grasslands, on siliceous substrates in mountain areas (and submountain areas, in Continental Europe) DK ATL 13470 5.11 = ≈ N/A N/A 35 estimate b 6.33 = ≈ 10.33 - 28.66 6.34 - 24.67 N/A - N/A U1 - good good poor U1 U1 - U2 = N/A N/A 8900 b 6.97
6230 - Species-rich Nardus grasslands, on siliceous substrates in mountain areas (and submountain areas, in Continental Europe) PT ATL 2200 0.83 = ≈ N/A N/A 8.50 estimate c 1.54 = < N/A - N/A N/A - N/A N/A - N/A U1 = good good poor U1 U1 - U1 - noChange noChange 1200 c 0.94
6240 - Sub-continental steppic grasslands CZ PAN 4200 13.32 = ≈ N/A N/A 2.06 estimate a 1.06 = ≈ 1.85 - 1.85 0.17 - 0.17 0.03 - 0.03 U1 - good good poor U1 U1 - U1 - genuine noChange 2000 a 6.62
6240 - Sub-continental steppic grasslands SK ALP 6515.50 33.39 = ≈ N/A N/A 4.67 estimate b 14.32 - > 0.76 - 0.76 0.14 - 0.14 3.77 - 3.77 FV u good good good FV U1 x U1 - N/A N/A 6700 b 53.17
6240 - Sub-continental steppic grasslands CZ CON 3600 4.40 = ≈ N/A N/A 0.55 estimate a 0.01 = ≈ 0.53 - 0.53 0 - 0 0.01 - 0.01 U2 - poor poor poor U1 U2 - U2 - genuine genuine 1300 a 2.61
6240 - Sub-continental steppic grasslands DE CON 23051 28.16 - >> 12.65 30.51 13.06 estimate b 0.31 - >> 6.28 - 14.44 4.21 - 7.69 2.08 - 8.86 U2 - bad bad bad U2 U2 - U1 - genuine noChange 17900 b 35.94
6240 - Sub-continental steppic grasslands DE ATL 1561 100 = 1561 0.13 0.13 0.13 estimate a 100 = > 0.10 - 0.11 0.02 - 0.03 N/A - N/A U1 - good poor unk U1 U1 - U1 + noChange genuine 1200 b 100
6240 - Sub-continental steppic grasslands HU PAN 24397 77.35 = ≈ 170 210 N/A estimate b 97.40 = > 60 - 80 100 - 115 10 - 15 U2 = good poor bad U2 U2 = U1 = knowledge noChange 25400 b 84.11
6240 - Sub-continental steppic grasslands IT ALP 8900 45.60 - >> 25.54 26.97 N/A estimate b 80.55 = >> 10.59 - 10.59 1.65 - 1.65 0 - 0 U1 = poor poor poor U1 U2 = U2 - noChange knowledge 4500 b 35.71
6240 - Sub-continental steppic grasslands SK PAN 2946.07 9.34 x > N/A N/A 3.01 estimate b 1.54 - > 0.44 - 0.44 0.23 - 0.23 2.34 - 2.34 FV u unk poor poor U1 U1 x U1 - N/A N/A 2800 b 9.27
6240 - Sub-continental steppic grasslands BG ALP 3200 16.40 x 3200 N/A N/A 0.92 minimum b 2.83 = 0.92 N/A - N/A N/A - N/A 0.92 - 0.92 XX x poor poor poor U1 U1 x U1 = method method 700 b 5.56
6240 - Sub-continental steppic grasslands BG BLS 1800 100 x 1800 N/A N/A 0.13 minimum b 100 u 0.13 N/A - N/A N/A - N/A 0.13 - 0.13 XX x poor poor poor U1 U1 x U1 = method method 200 b 100
6240 - Sub-continental steppic grasslands BG CON 34800 42.52 u 34800 N/A N/A 145.91 minimum b 3.42 - 145.91 N/A - N/A N/A - N/A 145.91 - 145.91 XX x poor poor poor U1 U1 x U1 = noChange method 17600 b 35.34
6240 - Sub-continental steppic grasslands AT CON 8900 10.87 = > 1.50 2.70 2.10 interval a 0.05 - > 1.50 - 2.70 0.02 - 0.03 N/A - N/A FV x poor poor poor U1 U1 x U1 x noChange genuine 5800 a 11.65
6240 - Sub-continental steppic grasslands RO CON 8400 10.26 = ≈ N/A N/A 4100 interval b 96.11 + ≈ 3000 - 3400 100 - 400 100 - 300 FV u good good poor U1 U1 - U1 N/A knowledge knowledge 4100 a 8.23
6240 - Sub-continental steppic grasslands HR CON 3100 3.79 u > 3.50 5 N/A estimate a 0.10 u > N/A - N/A N/A - N/A 3.50 - 5 XX u poor bad unk U2 U2 x N/A N/A noChange noChange 3100 a 6.22
6240 - Sub-continental steppic grasslands AT ALP 900 4.61 x x 0.50 1 N/A minimum b 2.30 x > 0.01 - 0.01 N/A - N/A 0.09 - 0.09 XX x unk poor unk XX U1 x U1 = noChange noInfo 700 a 5.56
6250 - Pannonic loess steppic grasslands BG CON 24600 80.92 x 24600 N/A N/A 134.48 minimum b 99.89 - 134.48 N/A - N/A N/A - N/A 134.48 - 134.48 XX x poor poor poor U1 U1 x U1 = method method 16800 b 78.14
6250 - Pannonic loess steppic grasslands HR CON 2000 6.58 = > N/A N/A 0.01 estimate a 0.01 - >> N/A - N/A 0.01 - 0.01 N/A - N/A U2 - poor bad bad U2 U2 - N/A N/A noChange noChange 1800 a 8.37
6250 - Pannonic loess steppic grasslands AT CON 3800 12.50 - > N/A N/A 0.14 estimate a 0.10 - >> 0.13 - 0.13 0.01 - 0.01 N/A - N/A U1 - poor bad bad U2 U2 - U2 + noChange genuine 2900 a 13.49
6250 - Pannonic loess steppic grasslands SK PAN 1257.27 2.25 = > N/A N/A 0.74 estimate b 0.35 - > 0.03 - 0.03 0.14 - 0.14 0.56 - 0.56 U1 u good poor poor U1 U1 x U1 - N/A N/A 1300 b 2.29
6250 - Pannonic loess steppic grasslands AT ALP 100 0 = N/ N/A N/A 0.01 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 N/A N/A N/A a 0
6250 - Pannonic loess steppic grasslands HU PAN 51950 93.09 = ≈ 200 220 N/A estimate b 99.33 - > 60 - 66 120 - 132 20 - 22 U2 - good poor bad U2 U2 - U2 = noChange genuine 53900 b 95.06
6250 - Pannonic loess steppic grasslands CZ PAN 2600 4.66 = ≈ N/A N/A 0.67 estimate a 0.32 = ≈ 0.55 - 0.55 0.12 - 0.12 0.01 - 0.01 U1 = good good poor U1 U1 = U1 - noChange noChange 1500 a 2.65
6260 - Pannonic sand steppes BG CON 200 15.38 = 200 N/A N/A 0.63 minimum b 16.52 = 0.63 N/A - N/A N/A - N/A 0.63 - 0.63 XX x good good unk FV FV = U1 = method method 200 b 15.38
6260 - Pannonic sand steppes SK PAN 1536.22 4.31 - ≈ N/A N/A 4.75 estimate b 1.17 - > 0.34 - 0.34 0.32 - 0.32 4.09 - 4.09 FV u poor poor poor U1 U1 - U2 - knowledge N/A 1800 b 4.85
6260 - Pannonic sand steppes GR MED N/A 0 N/A N/ N/A N/A 3.19 estimate a 100 x ≈ N/A - N/A N/A - N/A 3.19 - 3.19 XX x unk unk unk XX XX N/A N/A noChange noChange 200 b 100
6260 - Pannonic sand steppes CZ PAN 300 0.84 = ≈ N/A N/A 0.87 estimate a 0.22 = ≈ 0.83 - 0.83 0.04 - 0.04 0 - 0 FV = good good good FV FV = FV N/A noChange noChange 300 a 0.81
6260 - Pannonic sand steppes AT CON 900 69.23 - > 3.05 N/A 3.05 minimum a 79.38 = >> 2.42 - 2.42 0.58 - 0.58 N/A - N/A U1 x poor bad poor U2 U2 x U2 + noChange method 900 a 69.23
6260 - Pannonic sand steppes HR CON 200 15.38 = >> 0.09 0.23 N/A estimate a 4.10 = >> 0.03 - 0.03 0.06 - 0.20 N/A - N/A U2 = bad bad bad U2 U2 = N/A N/A noChange noChange 200 a 15.38
6260 - Pannonic sand steppes HU PAN 33837 94.85 = ≈ 380 420 N/A estimate b 98.61 = > 114 - 126 228 - 252 38 - 42 U2 - good poor bad U2 U2 - U1 - genuine noChange 35000 b 94.34
6270 - Fennoscandian lowland species-rich dry to mesic grasslands SE BOR 342500 44.81 = ≈ N/A N/A 1300 estimate b 73.95 - >> 650 - 650 650 - 650 N/A - N/A U2 - good bad bad U2 U2 - U2 - noChange noChange 195100 b 53.58
6270 - Fennoscandian lowland species-rich dry to mesic grasslands EE BOR 49000 6.41 = ≈ 30 50 N/A estimate a 2.28 = ≈ 16 - 16 5 - 13 9 - 21 U1 u good poor poor U1 U1 = U1 = method noChange 26300 a 7.22
6270 - Fennoscandian lowland species-rich dry to mesic grasslands FI BOR 244300 31.96 = ≈ N/A N/A 15 estimate c 0.85 = > 2 - 9 N/A - N/A 6 - 13 U2 = good bad bad U2 U2 = U2 - noChange method 86900 b 23.87
6270 - Fennoscandian lowland species-rich dry to mesic grasslands LT BOR 64787 8.48 = 64787 N/A N/A 225 estimate a 12.80 u ≈ 157.50 - 157.50 40 - 40 27.50 - 27.50 XX u good poor poor U1 U1 x U1 - knowledge knowledge 55800 a 15.33
6270 - Fennoscandian lowland species-rich dry to mesic grasslands LV BOR 63795 8.35 = x 154.65 201.04 N/A estimate b 10.12 - x N/A - N/A 46.40 - 77.33 77.33 - 108.25 U2 - good poor bad U2 U2 - U2 - knowledge knowledge N/A a 0
6270 - Fennoscandian lowland species-rich dry to mesic grasslands SE ALP 34000 100 = ≈ N/A N/A 9 estimate b 100 - >> 4.50 - 4.50 4.50 - 4.50 N/A - N/A U2 - good bad bad U2 U2 - U2 - noChange noChange 6900 b 100
6270 - Fennoscandian lowland species-rich dry to mesic grasslands SE CON 24700 100 = ≈ N/A N/A 180 estimate b 100 - >> 90 - 90 90 - 90 N/A - N/A U2 - good bad bad U2 U2 - U2 - noChange noChange 19500 b 100
6280 - Nordic alvar and precambrian calcareous flatrocks SE BOR 9200 20.40 = ≈ N/A N/A 200 estimate b 66.56 - ≈ 120 - 120 80 - 80 N/A - N/A U2 - good poor bad U2 U2 - U2 - noChange noChange 7700 b 27.11
6280 - Nordic alvar and precambrian calcareous flatrocks EE BOR 20800 46.12 = ≈ N/A N/A 100 estimate a 33.28 = ≈ 48 - 48 22 - 22 30 - 30 U1 + good good good FV U1 + U1 - noChange genuine 13600 a 47.89
6280 - Nordic alvar and precambrian calcareous flatrocks FI BOR 15100 33.48 = ≈ N/A N/A 0.50 estimate b 0.17 = > 0.05 - 0.05 0.45 - 0.45 N/A - N/A U2 = good bad bad U2 U2 = U2 - noChange knowledge 7100 a 25
6280 - Nordic alvar and precambrian calcareous flatrocks SE CON 1400 100 = ≈ N/A N/A 135 estimate b 100 = ≈ 108 - 108 27 - 27 N/A - N/A U1 - good good poor U1 U1 - FV N/A genuine genuine 1200 b 100
62A0 - Eastern sub-mediterranean dry grasslands (Scorzoneratalia villosae) BG ALP 13000 40.48 u 13000 N/A N/A 13.06 minimum b 1.25 = 13.06 N/A - N/A N/A - N/A 13.06 - 13.06 XX x poor poor poor U1 U1 x U1 = method method 3700 b 22.02
62A0 - Eastern sub-mediterranean dry grasslands (Scorzoneratalia villosae) HR MED 28000 54.13 = ≈ 3440 4500 N/A estimate a 84.46 = ≈ 255 - 310 22 - 27 3163 - 4163 U1 = good good good FV U1 = N/A N/A noChange noChange 25600 a 44.76
62A0 - Eastern sub-mediterranean dry grasslands (Scorzoneratalia villosae) HR ALP 9500 29.58 = ≈ 900 1000 N/A estimate a 91.05 = ≈ 10 - 10 5 - 5 885 - 985 XX = good good unk FV FV = N/A N/A noChange noChange 7400 a 44.05
62A0 - Eastern sub-mediterranean dry grasslands (Scorzoneratalia villosae) GR MED 3431 6.63 = ≈ N/A N/A 504.90 estimate b 10.74 = ≈ 454.41 - 454.41 N/A - N/A 50.49 - 50.49 FV = good good poor U1 U1 = FV N/A knowledge method 20800 b 36.36
62A0 - Eastern sub-mediterranean dry grasslands (Scorzoneratalia villosae) BG BLS 3800 100 u 3800 N/A N/A 2.42 minimum b 100 = 2.42 N/A - N/A N/A - N/A 2.42 - 2.42 XX x poor poor poor U1 U1 x U1 = method method 1500 b 100
62A0 - Eastern sub-mediterranean dry grasslands (Scorzoneratalia villosae) BG CON 36200 75.04 u 36200 N/A N/A 230.65 minimum b 42.03 - 230.65 N/A - N/A N/A - N/A 230.65 - 230.65 XX x poor poor poor U1 U1 x U1 = method method 15500 b 66.24
62A0 - Eastern sub-mediterranean dry grasslands (Scorzoneratalia villosae) IT ALP 8600 26.78 = > 28.71 112.01 N/A estimate b 6.74 - >> 8.91 - 8.91 3.79 - 3.79 0.01 - 0.01 U2 - poor bad bad U2 U2 - U2 - noChange noChange 5400 b 32.14
62A0 - Eastern sub-mediterranean dry grasslands (Scorzoneratalia villosae) IT CON 9700 20.11 = > 93.89 154.36 N/A estimate b 22.62 - > 41.72 - 41.72 0.69 - 0.69 0 - 0 U1 - poor bad poor U2 U2 - U2 - noChange noChange 5800 b 24.79
62A0 - Eastern sub-mediterranean dry grasslands (Scorzoneratalia villosae) IT MED 20300 39.24 = ≈ 82.94 368.64 N/A estimate b 4.80 + ≈ 135.52 - 135.52 N/A - N/A N/A - N/A FV + good good good FV FV + FV N/A noChange knowledge 10800 b 18.88
62A0 - Eastern sub-mediterranean dry grasslands (Scorzoneratalia villosae) SI CON 2341 4.85 = ≈ N/A N/A 194 minimum b 35.35 - > 100 - 100 94 - 94 N/A - N/A U2 - good bad bad U2 U2 - U2 - noChange noChange 2100 b 8.97
62A0 - Eastern sub-mediterranean dry grasslands (Scorzoneratalia villosae) SI ALP 1015 3.16 = ≈ N/A N/A 10 minimum b 0.96 - > 7 - 7 3 - 3 N/A - N/A U2 - good bad poor U2 U2 - U2 - noChange noChange 300 b 1.79
62B0 - Serpentinophilous grasslands of Cyprus CY MED 51 100 = ≈ N/A N/A 0.41 estimate a 100 = ≈ 0.41 - 0.41 N/A - N/A N/A - N/A FV = good good good FV FV = FV N/A noChange noChange 900 a 100
62C0 - Ponto-Sarmatic steppes BG CON 6600 57.39 u 6600 N/A N/A 16.67 minimum b 0.54 = 16.67 N/A - N/A N/A - N/A 16.67 - 16.67 XX x poor poor poor U1 U1 x U1 = method method 2300 b 44.23
62C0 - Ponto-Sarmatic steppes RO CON 4900 42.61 = > N/A N/A 3100 interval b 99.46 + > 2500 - 2700 N/A - 200 N/A - 200 FV + good good good FV FV = FV N/A noChange noChange 2900 a 55.77
62C0 - Ponto-Sarmatic steppes BG BLS 5400 100 u 5400 N/A N/A 60.15 minimum b 100 = 60.15 N/A - N/A N/A - N/A 60.15 - 60.15 XX x poor poor poor U1 U1 x U1 = method method 2200 b 100
62C0 - Ponto-Sarmatic steppes RO STE 7000 100 = > N/A N/A 2900 interval b 100 + > 1800 - 2000 200 - 600 100 - 300 FV = good good good FV FV = U1 N/A knowledge knowledge 2900 a 100
62D0 - Oro-Moesian acidophilous grasslands BG CON 11600 100 u 11600 N/A N/A 54.25 minimum b 100 u 54.25 N/A - N/A N/A - N/A 54.25 - 54.25 XX x poor poor poor U1 U1 x U1 = method method 2600 b 100
62D0 - Oro-Moesian acidophilous grasslands BG ALP 15400 100 + 15400 N/A N/A 286.51 minimum b 100 = 286.51 N/A - N/A N/A - N/A 286.51 - 286.51 XX x poor poor poor U1 U1 = U1 = method method 9300 b 100
62D0 - Oro-Moesian acidophilous grasslands GR MED 36 100 x x N/A N/A 4.18 minimum c 100 x x N/A - N/A N/A - N/A 4.18 - 4.18 XX x unk unk good XX XX XX N/A noChange noChange 500 b 100
6310 - Dehesas with evergreen Quercus spp. IT MED 23700 8.38 - > 104.94 1140.44 N/A estimate b 2.12 - >> 51.71 - 51.71 8.73 - 8.73 44.50 - 44.50 U1 - poor bad bad U2 U2 - U1 - knowledge noChange 15900 b 7.31
6310 - Dehesas with evergreen Quercus spp. PT MED 57400 20.30 = x 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 = genuine genuine 39900 c 18.34
6310 - Dehesas with evergreen Quercus spp. ES MED 201700 71.32 x x N/A N/A 28742.53 estimate b 97.88 x x 21871.70 - 21871.70 1821.82 - 1821.82 5049.04 - 5049.04 U1 - unk poor poor U1 U1 x U2 - method method 161700 b 74.34
6310 - Dehesas with evergreen Quercus spp. FR MED N/A 0 x x N/A N/A N/A estimate d 0 x x N/A - N/A N/A - N/A N/A - N/A XX x unk unk unk XX XX x XX N/A noChange noChange N/A d 0
6410 - Molinia meadows on calcareous, peaty or clavey-silt-laden soils (Molinion caeruleae) LU CON 2200 0.40 = > 0.10 0.12 N/A estimate b 0 - 0.54 0.04 - 0.05 0.05 - 0.06 N/A - N/A U2 - poor bad bad U2 U2 - U2 = noChange genuine 1300 a 0.34
6410 - Molinia meadows on calcareous, peaty or clavey-silt-laden soils (Molinion caeruleae) CZ CON 71200 13.07 = ≈ N/A N/A 67.27 estimate a 2.05 = ≈ 39.79 - 39.79 10.87 - 10.87 16.61 - 16.61 U2 = good good poor U1 U2 = U2 - genuine genuine 47300 a 12.44
6410 - Molinia meadows on calcareous, peaty or clavey-silt-laden soils (Molinion caeruleae) DK ATL 13470 3.47 = ≈ N/A N/A 23 estimate b 2.44 = ≈ 3.66 - 9.83 13.17 - 19.34 N/A - N/A U2 = good good bad U2 U2 = U1 = N/A N/A 7700 b 3.92
6410 - Molinia meadows on calcareous, peaty or clavey-silt-laden soils (Molinion caeruleae) PL CON 182200 33.45 = ≈ N/A N/A 200 estimate b 6.10 = ≈ 40 - 145 55 - 160 N/A - N/A U1 = good good good FV U1 = U1 - noChange knowledge 85700 b 22.54
6410 - Molinia meadows on calcareous, peaty or clavey-silt-laden soils (Molinion caeruleae) DK CON 29540 5.42 = ≈ N/A N/A 68 estimate b 2.08 = >> 11.70 - 29.61 38.39 - 56.30 N/A - N/A U2 = good bad bad U2 U2 = U2 x N/A N/A 15000 b 3.95
6410 - Molinia meadows on calcareous, peaty or clavey-silt-laden soils (Molinion caeruleae) FR MED 37500 20.39 = x 3 5 N/A estimate c 12.89 - x N/A - N/A N/A - N/A 3 - 5 U1 u good poor poor U2 U2 - U2 - noChange noChange 14100 b 14.66
6410 - Molinia meadows on calcareous, peaty or clavey-silt-laden soils (Molinion caeruleae) FR CON 709 0.13 - > N/A N/A 709 estimate b 21.64 - > N/A - N/A N/A - N/A 709 - 709 XX x poor bad unk U2 U2 - U2 - method noChange 66400 b 17.46
6410 - Molinia meadows on calcareous, peaty or clavey-silt-laden soils (Molinion caeruleae) FR ATL 184300 47.42 = ≈ 830 830 830 estimate c 87.95 - > 29.80 - 29.80 16.80 - 16.80 1.45 - 1.45 U2 - unk poor poor U2 U2 - U2 - noChange noChange 83900 b 42.70
6410 - Molinia meadows on calcareous, peaty or clavey-silt-laden soils (Molinion caeruleae) FR ALP 33100 19.19 = ≈ N/A N/A 70 estimate c 4.20 - > N/A - 70 N/A - 70 70 - 70 U2 x poor bad bad U2 U2 x U2 - noInfo noInfo 13400 b 15.64
6410 - Molinia meadows on calcareous, peaty or clavey-silt-laden soils (Molinion caeruleae) ES ALP 13400 7.77 = ≈ N/A N/A 1.64 estimate a 0.10 = ≈ N/A - N/A N/A - N/A 1.64 - 1.64 XX x poor poor poor U1 U1 = FV N/A knowledge knowledge 4900 b 5.72
6410 - Molinia meadows on calcareous, peaty or clavey-silt-laden soils (Molinion caeruleae) ES MED 88200 47.96 - x N/A N/A 18.70 estimate b 60.27 - > 6.88 - 6.88 1.20 - 1.20 10.63 - 10.63 U1 - unk unk unk XX U1 - U1 x noChange knowledge 39100 b 40.64
6410 - Molinia meadows on calcareous, peaty or clavey-silt-laden soils (Molinion caeruleae) PL ALP 1500 0.87 = ≈ 0.50 1 0.75 estimate b 0.05 - > N/A - 0.38 0.38 - 0.75 N/A - N/A U2 - good poor poor U1 U2 - U1 - genuine noChange 400 b 0.47
6410 - Molinia meadows on calcareous, peaty or clavey-silt-laden soils (Molinion caeruleae) BG ALP 6900 4 u 6900 N/A N/A 3.74 minimum b 0.22 = 3.74 N/A - N/A N/A - N/A 3.74 - 3.74 XX x poor poor poor U1 U1 x U1 = method method 2700 b 3.15
6410 - Molinia meadows on calcareous, peaty or clavey-silt-laden soils (Molinion caeruleae) IT ALP 44700 25.92 + > 40.89 142.53 N/A estimate b 5.50 + > 32.82 - 32.82 7.93 - 7.93 0.03 - 0.03 U1 = poor good poor U1 U1 = U2 - knowledge knowledge 18000 b 21
6410 - Molinia meadows on calcareous, peaty or clavey-silt-laden soils (Molinion caeruleae) IT CON 35000 6.43 + x 28.69 69.17 N/A estimate b 1.49 + > 7.90 - 7.90 6.66 - 6.66 0.04 - 0.04 U2 - good good bad U2 U2 = U1 = knowledge noChange 13600 b 3.58
6410 - Molinia meadows on calcareous, peaty or clavey-silt-laden soils (Molinion caeruleae) IT MED 6600 3.59 + ≈ 3 13.66 N/A estimate b 26.84 + ≈ 0.29 - 0.29 0.29 - 0.29 0.05 - 0.05 U1 - good good bad U2 U2 = U2 - noChange knowledge 2500 b 2.60
6410 - Molinia meadows on calcareous, peaty or clavey-silt-laden soils (Molinion caeruleae) RO ALP 4600 2.67 = ≈ N/A N/A 1400 interval b 84.01 = ≈ 1400 - 1700 N/A - 150 N/A - 150 FV u good good good FV FV = FV N/A knowledge knowledge 1600 a 1.87
6410 - Molinia meadows on calcareous, peaty or clavey-silt-laden soils (Molinion caeruleae) RO BLS 500 100 + ≈ N/A N/A 300 interval b 100 + ≈ 100 - 150 N/A - 50 N/A - 100 FV = good good good FV FV = U1 - knowledge knowledge 300 a 100
6410 - Molinia meadows on calcareous, peaty or clavey-silt-laden soils (Molinion caeruleae) RO CON 4000 0.73 = ≈ N/A N/A 2000 interval b 61.04 = ≈ 1600 - 1700 50 - 200 50 - 100 FV = good good good FV FV = FV N/A knowledge knowledge 1300 a 0.34
6410 - Molinia meadows on calcareous, peaty or clavey-silt-laden soils (Molinion caeruleae) EE BOR 22200 4.91 = ≈ 10 20 N/A estimate a 5.79 = ≈ 10 - 20 N/A - N/A N/A - N/A FV = good good good FV FV = FV N/A noChange noChange 13700 a 7.09
6410 - Molinia meadows on calcareous, peaty or clavey-silt-laden soils (Molinion caeruleae) ES ATL 47100 12.12 = ≈ N/A N/A 12.69 estimate b 1.34 = ≈ 3.40 - 3.40 0.07 - 0.07 9.22 - 9.22 U1 x good poor unk U1 U1 = U1 x noChange knowledge 24800 b 12.62
6410 - Molinia meadows on calcareous, peaty or clavey-silt-laden soils (Molinion caeruleae) NL ATL 11900 3.06 = ≈ N/A N/A 2.90 estimate a 0.31 = >> 0.50 - 2.20 0.70 - 2.40 N/A - N/A U1 = good poor poor U1 U2 = U2 = noChange noChange 9600 a 4.89
6410 - Molinia meadows on calcareous, peaty or clavey-silt-laden soils (Molinion caeruleae) SE ALP 32200 18.67 = ≈ N/A N/A 1 estimate b 0.06 - >> 0.50 - 0.50 0.50 - 0.50 N/A - N/A U2 - good bad bad U2 U2 - U2 - noChange noChange 6500 b 7.58
6410 - Molinia meadows on calcareous, peaty or clavey-silt-laden soils (Molinion caeruleae) SI CON 9614 1.77 = ≈ N/A N/A 8.60 minimum b 0.26 - >> N/A - N/A N/A - N/A 8.60 - 8.60 XX x good bad unk U2 U2 x U2 - noChange noInfo 5000 b 1.32
6410 - Molinia meadows on calcareous, peaty or clavey-silt-laden soils (Molinion caeruleae) SI ALP 5422 3.14 = ≈ N/A N/A 12.10 minimum b 0.73 - >> 6.40 - 6.40 5.70 - 5.70 N/A - N/A U2 - good bad poor U2 U2 - U2 - noChange noChange 2800 b 3.27
6410 - Molinia meadows on calcareous, peaty or clavey-silt-laden soils (Molinion caeruleae) BG CON 3400 0.62 u 3400 N/A N/A 3.60 minimum b 0.11 - 3.60 N/A - N/A N/A - N/A 3.60 - 3.60 XX x poor poor poor U1 U1 x FV N/A method method 1500 b 0.39
6410 - Molinia meadows on calcareous, peaty or clavey-silt-laden soils (Molinion caeruleae) RO PAN 100 0.24 = ≈ N/A N/A 100 interval a 51.14 = ≈ N/A - 50 N/A - N/A N/A - 50 FV = good good good FV FV = U1 N/A knowledge knowledge N/A a 0
6410 - Molinia meadows on calcareous, peaty or clavey-silt-laden soils (Molinion caeruleae) FI BOR 800 0.18 = > N/A N/A 0.30 estimate c 0.12 = > 0.03 - 0.03 N/A - N/A 0.27 - 0.27 U2 = poor bad bad U2 U2 = U2 = noChange noChange 600 a 0.31
6410 - Molinia meadows on calcareous, peaty or clavey-silt-laden soils (Molinion caeruleae) SE BOR 301900 66.83 = ≈ N/A N/A 200 estimate b 77.25 - >> 100 - 100 100 - 100 N/A - N/A U2 - good bad bad U2 U2 - U2 - noChange noChange 158300 b 81.89
6410 - Molinia meadows on calcareous, peaty or clavey-silt-laden soils (Molinion caeruleae) SE CON 23900 4.39 = ≈ N/A N/A 80 estimate b 2.44 - >> 40 - 40 40 - 40 N/A - N/A U2 - good bad bad U2 U2 - U2 - noChange noChange 18600 b 4.89
6410 - Molinia meadows on calcareous, peaty or clavey-silt-laden soils (Molinion caeruleae) UK ATL 77527.90 19.95 = 77527.90 N/A N/A 66.29 estimate a 7.02 - >> 13.89 - 13.89 5.90 - 5.90 46.50 - 46.50 U2 + good bad bad U2 U2 = U2 - noChange genuine 36900 a 18.78
6410 - Molinia meadows on calcareous, peaty or clavey-silt-laden soils (Molinion caeruleae) LV BOR 62071 13.74 = x 32.53 42.30 N/A estimate b 14.45 u x N/A - N/A 9.76 - 16.27 16.27 - 22.77 U2 - good poor bad U2 U2 x U2 - knowledge knowledge N/A a 0
6410 - Molinia meadows on calcareous, peaty or clavey-silt-laden soils (Molinion caeruleae) AT ALP 16900 9.80 x > 20 50 N/A minimum b 2.10 - > 1 - 1 0.20 - 0.20 18.80 - 48.80 U1 - poor poor poor U1 U1 - U1 - noChange noChange 22000 b 25.67
6410 - Molinia meadows on calcareous, peaty or clavey-silt-laden soils (Molinion caeruleae) HR CON 6800 1.25 = ≈ 3 3.50 N/A estimate a 0.10 u >> N/A - N/A N/A - N/A 3 - 3.50 U2 u good bad bad U2 U2 x N/A N/A noChange noChange 5600 a 1.47
6410 - Molinia meadows on calcareous, peaty or clavey-silt-laden soils (Molinion caeruleae) RO STE 400 100 = ≈ N/A N/A 200 interval b 100 = ≈ N/A - 100 N/A - 50 N/A - 50 FV = good good good FV FV = FV N/A knowledge knowledge 200 a 100
6410 - Molinia meadows on calcareous, peaty or clavey-silt-laden soils (Molinion caeruleae) HR ALP 7800 4.52 = ≈ 35.50 44 N/A estimate a 2.39 u > 14 - 16 2.50 - 4.50 19 - 23.50 U1 u good poor poor U1 U1 x N/A N/A noChange noChange 7400 a 8.63
6410 - Molinia meadows on calcareous, peaty or clavey-silt-laden soils (Molinion caeruleae) HU PAN 38418 92.06 = ≈ 85 105 N/A estimate b 48.59 - > 50 - 63 26 - 31 9 - 11 U2 - poor poor bad U2 U2 - U2 - noChange noChange 40000 b 97.09
6410 - Molinia meadows on calcareous, peaty or clavey-silt-laden soils (Molinion caeruleae) DE ATL 16267 4.19 = > 2.37 2.50 2.43 estimate b 0.26 - 3.11 1.24 - 1.79 0.65 - 1.20 N/A - N/A U1 - poor bad poor U2 U2 - U2 - noChange noChange 11100 b 5.65
6410 - Molinia meadows on calcareous, peaty or clavey-silt-laden soils (Molinion caeruleae) DE ALP 3838 2.23 = ≈ 10 10 10 estimate c 0.60 = 10 2.50 - 2.50 0.50 - 0.50 7 - 7 XX x good good unk FV FV = FV N/A noChange noChange 3900 b 4.55
6410 - Molinia meadows on calcareous, peaty or clavey-silt-laden soils (Molinion caeruleae) DE CON 156712 28.77 - > 76.09 83.92 80.22 estimate b 2.45 - >> 50.70 - 53.73 15.17 - 16.51 7.25 - 16.90 U1 - poor bad poor U2 U2 - U2 - noChange noChange 105700 b 27.80
6410 - Molinia meadows on calcareous, peaty or clavey-silt-laden soils (Molinion caeruleae) PT MED 51600 28.06 = 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 = noChange knowledge 40500 c 42.10
6410 - Molinia meadows on calcareous, peaty or clavey-silt-laden soils (Molinion caeruleae) LT BOR 64787 14.34 = 64787 N/A N/A 6.17 estimate a 2.38 - > 3 - 3 3 - 3 N/A - N/A U2 u good bad bad U2 U2 x U2 - knowledge knowledge 20700 a 10.71
6410 - Molinia meadows on calcareous, peaty or clavey-silt-laden soils (Molinion caeruleae) PT ATL 6500 1.67 = 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 = noChange knowledge 5000 c 2.54
6410 - Molinia meadows on calcareous, peaty or clavey-silt-laden soils (Molinion caeruleae) IE ATL 20700 5.33 - 21600 N/A N/A 5.86 minimum a 0.62 - >> 3.69 - 3.69 2.17 - 2.17 N/A - N/A U2 = poor bad bad U2 U2 - U2 - noChange noChange 11200 a 5.70
6410 - Molinia meadows on calcareous, peaty or clavey-silt-laden soils (Molinion caeruleae) SK PAN 714.85 1.71 + ≈ N/A N/A 0.47 estimate b 0.24 = > 0.03 - 0.03 0.03 - 0.03 0.41 - 0.41 U1 u good poor poor U1 U1 = U1 = N/A N/A 800 b 1.94
6410 - Molinia meadows on calcareous, peaty or clavey-silt-laden soils (Molinion caeruleae) SK ALP 2112.15 1.22 + ≈ N/A N/A 0.78 estimate b 0.05 = > 0.63 - 0.63 0.15 - 0.15 N/A - N/A U1 u good poor poor U1 U1 = U1 = N/A N/A 2100 b 2.45
6410 - Molinia meadows on calcareous, peaty or clavey-silt-laden soils (Molinion caeruleae) BE ATL 10900 2.80 = > 0.49 0.63 0.50 estimate a 0.05 u >> 0.04 - 0.15 0.35 - 0.46 0 - 0 U2 x poor poor bad U2 U2 x U2 = noChange method 6300 b 3.21
6410 - Molinia meadows on calcareous, peaty or clavey-silt-laden soils (Molinion caeruleae) BE CON 7000 1.29 = ≈ N/A N/A 2.60 estimate b 0.08 = >> N/A - N/A N/A - N/A 2.60 - 2.60 U2 - good bad bad U2 U2 - U2 = noChange genuine 3800 b 1
6410 - Molinia meadows on calcareous, peaty or clavey-silt-laden soils (Molinion caeruleae) AT CON 12400 2.28 - >> 4.70 5.80 5.20 estimate a 0.16 - >> 3.30 - 4 1.40 - 1.80 N/A - N/A U2 - bad bad bad U2 U2 - U2 - noChange noChange 9400 b 2.47
6410 - Molinia meadows on calcareous, peaty or clavey-silt-laden soils (Molinion caeruleae) CZ PAN 2500 5.99 = ≈ N/A N/A 0.06 estimate a 0.03 = ≈ 0.01 - 0.01 0.01 - 0.01 0.04 - 0.04 U2 - good poor poor U2 U2 - U1 - noChange noChange 400 a 0.97
6420 - Mediterranean tall humid grasslands of the Molinio-Holoschoenion ES MAC 29 100 + ≈ N/A N/A 0.05 estimate a 100 = 0.05 0.05 - 0.05 N/A - N/A N/A - N/A FV = good poor unk U1 U1 + FV N/A method method 600 b 100
6420 - Mediterranean tall humid grasslands of the Molinio-Holoschoenion GR MED 1270 0.22 = ≈ N/A N/A 68.15 estimate b 13.86 = ≈ N/A - N/A 13.63 - 13.63 54.52 - 54.52 U1 x good good poor FV U1 = U1 = noChange noChange 14700 b 4.43
6420 - Mediterranean tall humid grasslands of the Molinio-Holoschoenion FR MED 50400 8.77 = x 14 22 N/A estimate c 3.66 - x N/A - N/A N/A - N/A 14 - 22 U1 u poor poor poor U2 U2 - U2 - noChange noChange 20600 b 6.21
6420 - Mediterranean tall humid grasslands of the Molinio-Holoschoenion FR ATL 2300 14.20 x ≈ 1 10 N/A estimate c 13.39 - > 1 - 3 1 - 3 1 - 3 U1 x unk unk bad U2 U2 x U2 - noChange noChange 1200 b 23.08
6420 - Mediterranean tall humid grasslands of the Molinio-Holoschoenion IT ALP 1200 12 = > 1.58 3.04 N/A estimate b 91.09 - >> N/A - N/A 1.58 - 1.58 0 - 0 U2 - poor bad bad U2 U2 - XX N/A knowledge knowledge 300 b 12
6420 - Mediterranean tall humid grasslands of the Molinio-Holoschoenion IT CON 15300 93.87 = ≈ 13.50 28.05 N/A estimate b 98.83 - >> 3.44 - 3.44 9.89 - 9.89 0 - 0 U2 - poor bad bad U2 U2 - U1 x knowledge knowledge 7100 b 92.21
6420 - Mediterranean tall humid grasslands of the Molinio-Holoschoenion IT MED 53300 9.27 + ≈ 21.77 48.23 N/A estimate b 7.12 - > 26.77 - 26.77 3.51 - 3.51 0.50 - 0.50 U1 - poor poor poor U1 U1 - U1 - noChange noChange 22300 b 6.72
6420 - Mediterranean tall humid grasslands of the Molinio-Holoschoenion BG ALP 700 7 = 700 N/A N/A 0.01 minimum b 0.43 + 0.01 N/A - N/A N/A - N/A 0.01 - 0.01 XX x good good unk FV FV = FV N/A method method 200 b 8
6420 - Mediterranean tall humid grasslands of the Molinio-Holoschoenion BG CON 1000 6.13 = 1000 N/A N/A 0.25 minimum b 1.17 + 0.25 N/A - N/A N/A - N/A 0.25 - 0.25 XX x poor poor poor U1 U1 = FV N/A method method 600 b 7.79
6420 - Mediterranean tall humid grasslands of the Molinio-Holoschoenion ES MED 407700 70.91 x x N/A N/A 369.77 estimate b 75.23 u x 126.34 - 126.34 59.93 - 59.93 183.50 - 183.50 U1 - unk unk unk XX U1 x U1 = noChange knowledge 230500 b 69.51
6420 - Mediterranean tall humid grasslands of the Molinio-Holoschoenion ES ATL 13900 85.80 = ≈ N/A N/A 35.58 estimate a 86.61 = x 0.26 - 0.26 0.11 - 0.11 35.21 - 35.21 XX x good poor unk U1 U1 = U1 x noChange knowledge 4000 b 76.92
6420 - Mediterranean tall humid grasslands of the Molinio-Holoschoenion ES ALP 8100 81 = ≈ N/A N/A 0.22 estimate b 8.48 = ≈ N/A - N/A N/A - N/A 0.22 - 0.22 XX x good good unk FV FV = U1 - method knowledge 2000 b 80
6420 - Mediterranean tall humid grasslands of the Molinio-Holoschoenion HR MED 2400 0.42 = ≈ 0.20 1 N/A estimate a 0.12 = > N/A - N/A N/A - N/A 0.20 - 1 XX u good poor unk XX U1 = N/A N/A noChange noChange 2400 a 0.72
6420 - Mediterranean tall humid grasslands of the Molinio-Holoschoenion CY MED 48 0.01 = > N/A N/A 0.02 estimate b 0 = > 0 - 0 0.02 - 0.02 N/A - N/A U2 = poor poor bad U2 U2 = FV N/A knowledge noChange 800 b 0.24
6420 - Mediterranean tall humid grasslands of the Molinio-Holoschoenion PT MED 59800 10.40 = ≈ N/A N/A N/A d 0 = < N/A - N/A N/A - N/A N/A - N/A FV = good good good FV FV = FV N/A noChange knowledge 40300 c 12.15
6420 - Mediterranean tall humid grasslands of the Molinio-Holoschoenion RO BLS 800 100 + > N/A N/A 300 interval b 100 u > 50 - 250 50 - 50 50 - 50 U1 u poor poor poor U1 U1 - U2 - knowledge knowledge 200 a 100
6430 - Hydrophilous tall herb fringe communities of plains and of the montane to alpine levels RO ALP 22500 6.74 = ≈ N/A N/A 6900 interval b 82.75 = ≈ 4500 - 6200 N/A - 400 N/A - 300 FV = good good good FV FV = FV N/A noChange noChange 5400 a 2.80
6430 - Hydrophilous tall herb fringe communities of plains and of the montane to alpine levels ES ATL 54900 11.99 = ≈ N/A N/A 36.77 estimate b 3.21 = x 5.18 - 5.18 5.18 - 5.18 26.40 - 26.40 U1 x unk poor unk XX U1 = FV N/A method knowledge 33800 b 12.16
6430 - Hydrophilous tall herb fringe communities of plains and of the montane to alpine levels ES MED 205100 54.39 = ≈ N/A N/A 136.28 estimate b 65 - x 53.81 - 53.81 21.46 - 21.46 61 - 61 U1 x unk poor unk XX U1 x U1 x noChange noChange 89200 b 47.50
6430 - Hydrophilous tall herb fringe communities of plains and of the montane to alpine levels SE CON 8100 1.03 = ≈ N/A N/A 1 estimate c 0.01 x >> N/A - N/A N/A - N/A 1 - 1 XX x good bad unk U2 U2 x U2 = noChange method 3000 b 0.52
6430 - Hydrophilous tall herb fringe communities of plains and of the montane to alpine levels NL ATL 28100 6.14 = ≈ N/A N/A 24 estimate b 2.09 = ≈ 10.10 - 19.90 4.10 - 13.90 N/A - N/A U1 = good unk unk XX U1 = U1 = noChange noChange 23300 a 8.38
6430 - Hydrophilous tall herb fringe communities of plains and of the montane to alpine levels LU CON 3500 0.44 = ≈ 0.13 0.24 N/A estimate b 0 - 0.49 0.06 - 0.20 0.03 - 0.06 N/A - N/A U2 - good bad bad U2 U2 - U1 x genuine genuine 2600 a 0.45
6430 - Hydrophilous tall herb fringe communities of plains and of the montane to alpine levels LT BOR 64787 22.73 = 64787 N/A N/A 17.55 estimate a 20.53 u > 8.80 - 8.80 8.80 - 8.80 N/A - N/A U2 u good poor poor U1 U2 x U1 = knowledge knowledge 29000 a 29.06
6430 - Hydrophilous tall herb fringe communities of plains and of the montane to alpine levels FI ALP 1300 0.39 = ≈ N/A N/A 10 estimate c 0.12 = ≈ 0.50 - 0.50 N/A - N/A 9.50 - 9.50 FV = good good good FV FV = FV N/A noChange method 900 b 0.47
6430 - Hydrophilous tall herb fringe communities of plains and of the montane to alpine levels SI ALP 7656 2.29 = 7656 N/A N/A 62.11 minimum b 0.74 x ≈ 62.11 - 62.11 N/A - N/A N/A - N/A FV = good good unk FV FV = FV N/A noChange noChange 5100 b 2.64
6430 - Hydrophilous tall herb fringe communities of plains and of the montane to alpine levels IT MED 60700 16.10 + ≈ 28.01 33.11 N/A estimate b 14.58 = ≈ 12 - 12 6.29 - 6.29 11.70 - 11.70 U1 - good poor poor U1 U1 - U1 - noChange noChange 25500 b 13.58
6430 - Hydrophilous tall herb fringe communities of plains and of the montane to alpine levels IT CON 79500 10.07 = ≈ 52.91 58.65 N/A estimate b 0.58 = ≈ 35.70 - 35.70 9.53 - 9.53 0.35 - 0.35 U1 - good poor poor U1 U1 - FV N/A knowledge knowledge 30800 b 5.35
6430 - Hydrophilous tall herb fringe communities of plains and of the montane to alpine levels EE BOR 49100 17.23 = ≈ N/A N/A 20 estimate a 23.40 = ≈ 18 - 18 N/A - N/A 2 - 2 FV = good good good FV FV = FV N/A noChange noChange 26100 a 26.15
6430 - Hydrophilous tall herb fringe communities of plains and of the montane to alpine levels IT ALP 58100 17.41 = ≈ 156.85 734.44 N/A estimate b 5.34 + ≈ 148.58 - 148.58 4.05 - 4.05 4.53 - 4.53 FV + good good poor U1 U1 + U1 - noChange knowledge 35700 b 18.51
6430 - Hydrophilous tall herb fringe communities of plains and of the montane to alpine levels FI BOR 102900 36.11 + ≈ N/A N/A 40 estimate b 46.80 = ≈ 1.40 - 1.40 N/A - N/A 38.60 - 38.60 U1 = good poor poor U1 U1 + U1 = noChange knowledge 32500 b 32.57
6430 - Hydrophilous tall herb fringe communities of plains and of the montane to alpine levels SI CON 12393 1.57 = ≈ N/A N/A 96.04 minimum b 0.99 = > 58.04 - 58.04 38 - 38 N/A - N/A U2 - good poor poor U1 U2 - U2 - noChange noChange 8700 b 1.51
6430 - Hydrophilous tall herb fringe communities of plains and of the montane to alpine levels DK CON 28410 3.60 x ≈ N/A N/A 63.90 estimate a 0.66 x ≈ 2.80 - 2.80 61.20 - 61.20 N/A - N/A U2 x good good bad U2 U2 x U2 = N/A N/A 24900 a 4.32
6430 - Hydrophilous tall herb fringe communities of plains and of the montane to alpine levels DK ATL 13020 2.84 x ≈ N/A N/A 35.70 estimate a 3.11 x ≈ 0.80 - 0.80 34.90 - 34.90 N/A - N/A U2 x good good bad U2 U2 x U2 = N/A N/A 11800 a 4.25
6430 - Hydrophilous tall herb fringe communities of plains and of the montane to alpine levels FR ALP 41700 12.50 = ≈ 100 1000 550 estimate d 6.60 x x 100 - 1000 1 - 10 100 - 1000 FV x good good good FV FV x FV N/A noChange noChange 25700 b 13.32
6430 - Hydrophilous tall herb fringe communities of plains and of the montane to alpine levels FR ATL 217700 47.56 = ≈ 500 1500 1000 estimate c 87.22 - ≈ 100 - 1000 30 - 1000 870 - 1000 U1 x good poor poor U1 U1 x U1 = N/A noChange 112300 b 40.41
6430 - Hydrophilous tall herb fringe communities of plains and of the montane to alpine levels PL ALP 13800 4.14 + ≈ N/A N/A 11.27 estimate b 0.14 = ≈ 6.10 - 10.10 1.20 - 5.20 N/A - N/A FV = good good good FV FV + FV N/A noChange noChange 9800 b 5.08
6430 - Hydrophilous tall herb fringe communities of plains and of the montane to alpine levels PL CON 62800 7.96 + ≈ N/A N/A 66.05 estimate b 0.68 = ≈ 5.70 - 42.40 23.60 - 60.30 N/A - N/A U2 = good good poor U1 U2 + U1 = knowledge knowledge 31800 b 5.52
6430 - Hydrophilous tall herb fringe communities of plains and of the montane to alpine levels CZ CON 85000 10.77 = ≈ N/A N/A 100.36 estimate a 1.04 - ≈ 53.60 - 53.60 12.93 - 12.93 33.83 - 33.83 U1 - poor poor poor U1 U2 - U2 - noChange noChange 70100 a 12.17
6430 - Hydrophilous tall herb fringe communities of plains and of the montane to alpine levels BG ALP 25500 7.64 + 25500 N/A N/A 10.73 minimum b 0.13 u 10.73 N/A - N/A N/A - N/A 10.73 - 10.73 XX x good unk unk XX XX U1 = method method 11100 b 5.75
6430 - Hydrophilous tall herb fringe communities of plains and of the montane to alpine levels BG BLS 5300 81.54 u 5300 N/A N/A 1.56 minimum b 0.22 u 1.56 N/A - N/A N/A - N/A 1.56 - 1.56 XX x bad bad bad U2 U2 x U1 = method method 2700 b 79.41
6430 - Hydrophilous tall herb fringe communities of plains and of the montane to alpine levels BG CON 79400 10.06 = 79400 N/A N/A 56.24 minimum b 0.58 - 56.24 N/A - N/A N/A - N/A 56.24 - 56.24 XX x bad bad bad U2 U2 x U1 = method method 33300 b 5.78
6430 - Hydrophilous tall herb fringe communities of plains and of the montane to alpine levels FR CON 97000 12.29 = ≈ N/A N/A 975 estimate c 10.09 = ≈ N/A - N/A N/A - N/A 97000 - 97000 XX = poor poor unk U1 U1 = U1 = noChange noChange 92100 b 16
6430 - Hydrophilous tall herb fringe communities of plains and of the montane to alpine levels FR MED 44600 11.83 = x 11 58 N/A estimate c 16.46 - x 11 - 18 11 - 18 11 - 18 U1 u good poor poor U1 U1 - U1 = noChange noInfo 16300 b 8.68
6430 - Hydrophilous tall herb fringe communities of plains and of the montane to alpine levels GR MED 1594 0.42 = ≈ N/A N/A 8.32 estimate b 3.97 = ≈ N/A - N/A 1.67 - 1.67 6.65 - 6.65 U1 + good good poor FV U1 + FV N/A knowledge knowledge 3000 b 1.60
6430 - Hydrophilous tall herb fringe communities of plains and of the montane to alpine levels HR ALP 6000 1.80 = ≈ 5 6 N/A estimate a 0.07 = ≈ 2 - 3 0.70 - 0.80 2 - 2 U1 u good good poor U1 U1 = N/A N/A noChange noChange 5500 a 2.85
6430 - Hydrophilous tall herb fringe communities of plains and of the montane to alpine levels BE CON 15499 1.96 x ≈ N/A N/A 60.49 estimate b 0.63 x > N/A - N/A N/A - N/A 60.49 - 60.49 U1 x good poor unk U1 U1 x U1 x noChange noChange 12800 b 2.22
6430 - Hydrophilous tall herb fringe communities of plains and of the montane to alpine levels RO STE 4000 100 = ≈ N/A N/A 2600 interval b 100 = ≈ 2000 - 2300 N/A - 100 100 - 200 FV = good good good FV FV = FV N/A noChange noChange 2100 a 100
6430 - Hydrophilous tall herb fringe communities of plains and of the montane to alpine levels RO PAN 3900 8.24 = ≈ N/A N/A 1900 interval b 99.51 = ≈ 1000 - 1500 N/A - 200 N/A - 200 FV = good good good FV FV = FV N/A noChange noChange 1600 a 3.72
6430 - Hydrophilous tall herb fringe communities of plains and of the montane to alpine levels BE ATL 20600 4.50 = ≈ N/A N/A 32.85 estimate b 2.87 x ≈ 0.03 - 0.03 31.03 - 31.03 1.64 - 1.64 U2 x good unk bad U2 U2 x U2 = noChange method 17400 b 6.26
6430 - Hydrophilous tall herb fringe communities of plains and of the montane to alpine levels AT ALP 46300 13.87 = ≈ N/A N/A 200 estimate b 2.40 = ≈ N/A - N/A N/A - N/A 200 - 200 XX x good good unk FV FV = FV N/A N/A N/A 25000 b 12.96
6430 - Hydrophilous tall herb fringe communities of plains and of the montane to alpine levels IE ATL 19100 4.17 - 19200 N/A N/A 1 minimum b 0.09 - > 0.50 - 0.84 0.16 - 0.50 N/A - N/A U2 = poor poor bad U2 U2 - U2 = noChange genuine 10900 b 3.92
6430 - Hydrophilous tall herb fringe communities of plains and of the montane to alpine levels SK ALP 28306.61 8.48 = ≈ N/A N/A 19.87 estimate b 0.24 = ≈ 2.79 - 2.79 1.92 - 1.92 15.17 - 15.17 U1 u good poor poor U1 U1 = FV N/A knowledge N/A 28600 b 14.83
6430 - Hydrophilous tall herb fringe communities of plains and of the montane to alpine levels SK PAN 6869.02 14.51 = ≈ N/A N/A 3.58 estimate b 0.19 = ≈ 0.50 - 0.50 0.38 - 0.38 2.70 - 2.70 U1 u good poor poor U1 U1 = FV N/A knowledge N/A 7500 b 17.44
6430 - Hydrophilous tall herb fringe communities of plains and of the montane to alpine levels AT CON 15600 1.98 x > N/A N/A 10 minimum c 0.10 x > N/A - N/A N/A - N/A 10 - 10 XX x poor poor unk U1 U1 x U1 x noChange noChange 3900 b 0.68
6430 - Hydrophilous tall herb fringe communities of plains and of the montane to alpine levels PT ATL 6500 1.42 = ≈ N/A N/A N/A d 0 + < N/A - N/A N/A - N/A N/A - N/A FV + good good good FV FV + U1 = knowledge knowledge 4900 c 1.76
6430 - Hydrophilous tall herb fringe communities of plains and of the montane to alpine levels PT MED 65100 17.26 = ≈ N/A N/A N/A d 0 = < N/A - N/A N/A - N/A N/A - N/A FV = good good good FV FV = U1 = knowledge noChange 53800 c 28.65
6430 - Hydrophilous tall herb fringe communities of plains and of the montane to alpine levels RO CON 21000 2.66 = ≈ N/A N/A 8100 interval b 83.81 = ≈ 6000 - 7400 N/A - 400 N/A - 300 FV = good good good FV FV = FV N/A noChange noChange 6500 a 1.13
6430 - Hydrophilous tall herb fringe communities of plains and of the montane to alpine levels RO BLS 1200 18.46 = ≈ N/A N/A 700 interval b 99.78 = ≈ 300 - 600 N/A - N/A N/A - 100 FV = good good good FV FV = FV N/A noChange noChange 700 a 20.59
6430 - Hydrophilous tall herb fringe communities of plains and of the montane to alpine levels DE CON 263187 33.34 = ≈ 67.28 75.62 71.53 estimate b 0.74 - > 37.93 - 70.44 10.62 - 19.72 1.52 - 2.82 U1 - good unk poor U1 U1 - XX N/A genuine knowledge 238300 b 41.39
6430 - Hydrophilous tall herb fringe communities of plains and of the montane to alpine levels DE ATL 60064 13.12 x x 12.17 12.89 N/A estimate c 1.09 x x 3.09 - 3.09 3.22 - 3.22 6.22 - 6.22 U2 x unk poor bad U2 U2 x U2 - noChange noInfo 47400 b 17.06
6430 - Hydrophilous tall herb fringe communities of plains and of the montane to alpine levels DE ALP 4155 1.25 = 4155 22 22 22 estimate a 0.26 = ≈ 20 - 20 0.50 - 0.50 1.50 - 1.50 FV = good good good FV FV = FV N/A noChange noChange 5200 b 2.70
6430 - Hydrophilous tall herb fringe communities of plains and of the montane to alpine levels UK ATL 37749.18 8.25 = 37749.18 N/A N/A 3.72 estimate b 0.32 = x 1.60 - 2.10 1.18 - 1.19 0.48 - 0.98 U2 + good unk bad U2 U2 + U2 + noChange noChange 16100 a 5.79
6430 - Hydrophilous tall herb fringe communities of plains and of the montane to alpine levels LV BOR 24309 8.53 = x 5.14 6.69 N/A estimate b 6.92 = x N/A - N/A 1.54 - 2.57 2.57 - 3.60 U1 = good good poor U1 U1 = FV N/A knowledge knowledge N/A a 0
6430 - Hydrophilous tall herb fringe communities of plains and of the montane to alpine levels SE BOR 43900 15.40 = ≈ N/A N/A 2 estimate c 2.34 x >> N/A - N/A N/A - N/A 2 - 2 XX x good bad unk U2 U2 x U2 = noChange method 12200 b 12.22
6430 - Hydrophilous tall herb fringe communities of plains and of the montane to alpine levels SE ALP 66900 20.05 = ≈ N/A N/A 100 estimate c 1.20 x ≈ N/A - N/A N/A - N/A 100 - 100 XX x good good unk FV FV x FV N/A noChange method 30800 b 15.97
6430 - Hydrophilous tall herb fringe communities of plains and of the montane to alpine levels ES ALP 11500 3.45 x ≈ N/A N/A 1.19 estimate b 0.01 = ≈ N/A - N/A N/A - N/A 1.19 - 1.19 XX x unk unk unk XX XX U1 x method noChange 4100 b 2.13
6430 - Hydrophilous tall herb fringe communities of plains and of the montane to alpine levels HR CON 17900 2.27 = ≈ 6.50 10 N/A estimate a 0.09 = ≈ 0.20 - 0.20 1.20 - 1.20 5.10 - 8.60 U1 u good good poor U1 U1 = N/A N/A noChange noChange 17000 a 2.95
6430 - Hydrophilous tall herb fringe communities of plains and of the montane to alpine levels CZ PAN 5600 11.83 = ≈ N/A N/A 0.25 estimate a 0.01 = ≈ 0.24 - 0.24 0 - 0 0.01 - 0.01 FV = poor poor poor U1 U1 = U1 = noChange noChange 1400 a 3.26
6430 - Hydrophilous tall herb fringe communities of plains and of the montane to alpine levels HU PAN 30983 65.43 = ≈ 1 10 N/A estimate c 0.29 - > 0.30 - 3 0.30 - 3 0.40 - 4 U2 - good poor bad U2 U2 - U2 = noChange knowledge 32500 b 75.58
6440 - Alluvial meadows of river valleys of the Cnidion dubii HR CON 1000 2.39 u ≈ 2.90 7.56 N/A estimate b 0.10 u > 2.14 - 6.67 N/A - N/A 0.77 - 0.89 U1 u unk bad poor U2 U2 x N/A N/A N/A 1000 a 3.45
6440 - Alluvial meadows of river valleys of the Cnidion dubii HU PAN 55655 90.12 - ≈ 420 450 N/A estimate b 25.99 u ≈ 126 - 135 168 - 180 126 - 135 U2 - poor poor bad U2 U2 - U1 - method noChange 58800 b 91.59
6440 - Alluvial meadows of river valleys of the Cnidion dubii FR CON 300 0.72 = >> 0.10 0.10 N/A estimate c 0 = >> N/A - 0.10 N/A - 0.10 N/A - 0.10 U2 = good poor poor U1 U2 = U2 - noChange noChange 400 c 1.38
6440 - Alluvial meadows of river valleys of the Cnidion dubii PL CON 7300 17.45 = ≈ N/A N/A 56.46 estimate b 1.11 + ≈ 7.20 - 22.30 34.20 - 49.30 N/A - N/A U2 - poor poor poor U1 U2 = U1 - genuine knowledge 4100 b 14.14
6440 - Alluvial meadows of river valleys of the Cnidion dubii DE CON 19332 46.21 - > 110.21 113.80 111.90 minimum a 2.20 - > 37.34 - 38.13 70.82 - 71.90 1.71 - 3.82 U2 - poor poor bad U2 U2 - U2 = noChange method 15400 a 53.10
6440 - Alluvial meadows of river valleys of the Cnidion dubii DE ATL 1065 100 = 1065 0.38 0.38 0.38 estimate b 100 = > 0.27 - 0.27 0.12 - 0.12 N/A - N/A U2 x good unk unk XX U2 = U2 x noChange knowledge 800 a 100
6440 - Alluvial meadows of river valleys of the Cnidion dubii CZ PAN 1900 3.08 = ≈ N/A N/A 7.88 estimate a 0.47 = ≈ 4.94 - 4.94 2.47 - 2.47 0.48 - 0.48 U2 - poor poor poor U1 U2 - U1 = method genuine 1100 a 1.71
6440 - Alluvial meadows of river valleys of the Cnidion dubii CZ CON 2100 5.02 = > N/A N/A 1.01 estimate a 0.02 = > 0.61 - 0.61 0.11 - 0.11 0.30 - 0.30 U1 u poor poor poor U1 U1 = U1 = noChange noChange 1100 a 3.79
6440 - Alluvial meadows of river valleys of the Cnidion dubii RO ALP 3400 100 = ≈ N/A N/A 2200 interval b 100 = ≈ 1200 - 2000 100 - 100 N/A - 100 FV + good good good FV FV = FV N/A noChange noChange 1600 a 100
6440 - Alluvial meadows of river valleys of the Cnidion dubii RO BLS 800 100 = ≈ N/A N/A 300 interval b 100 = ≈ 200 - 300 N/A - N/A N/A - N/A FV + good good good FV FV = FV N/A noChange noChange 200 a 100
6440 - Alluvial meadows of river valleys of the Cnidion dubii RO CON 8500 20.32 = ≈ N/A N/A 4900 interval b 96.29 = ≈ 3200 - 4100 N/A - 400 N/A - 400 FV + good good good FV FV = FV N/A noChange noChange 4300 a 14.83
6440 - Alluvial meadows of river valleys of the Cnidion dubii RO PAN 1600 2.59 = ≈ N/A N/A 1200 interval b 71.70 = ≈ 800 - 1000 N/A - 100 N/A - 100 FV + good good good FV FV = FV N/A noChange noChange 1100 a 1.71
6440 - Alluvial meadows of river valleys of the Cnidion dubii RO STE 2600 100 = ≈ N/A N/A 1300 interval b 100 = ≈ 900 - 1200 N/A - N/A N/A - 100 FV u good good good FV FV = FV N/A noChange noChange 1200 a 100
6440 - Alluvial meadows of river valleys of the Cnidion dubii BG CON 1000 2.39 = 1000 N/A N/A 2.18 minimum b 0.04 u 2.18 N/A - N/A N/A - N/A 2.18 - 2.18 XX x bad bad bad U2 U2 x U1 = method method 900 b 3.10
6440 - Alluvial meadows of river valleys of the Cnidion dubii SK PAN 2604.55 4.22 = ≈ N/A N/A 30.74 estimate b 1.84 = > 7.42 - 7.42 5.38 - 5.38 17.93 - 17.93 U1 u good good good FV U1 = U1 = N/A N/A 3200 b 4.98
6440 - Alluvial meadows of river valleys of the Cnidion dubii AT CON 2300 5.50 - > N/A N/A 11.70 interval a 0.23 + >> 10.99 - 10.99 0.67 - 0.67 N/A - N/A U1 x poor poor poor U1 U2 x U2 = noChange noInfo 1800 a 6.21
6450 - Northern boreal alluvial meadows SE BOR 79700 24.97 = > N/A N/A 20 estimate b 3.78 - >> 10 - 10 10 - 10 N/A - N/A U2 - poor bad bad U2 U2 - U2 - noChange noChange 17400 b 15.51
6450 - Northern boreal alluvial meadows LT BOR 64787 20.30 = 64787 N/A N/A 147.90 estimate a 27.96 u ≈ 73.90 - 73.90 73.90 - 73.90 N/A - N/A U2 u good good poor U1 U2 x U1 = knowledge knowledge 51200 a 45.63
6450 - Northern boreal alluvial meadows SE ALP 70900 100 = ≈ N/A N/A 30 estimate b 100 - >> 15 - 15 15 - 15 N/A - N/A U2 x good bad bad U2 U2 x U2 - noChange method 18600 b 100
6450 - Northern boreal alluvial meadows FI BOR 75000 23.50 = ≈ N/A N/A 32 estimate b 6.05 = ≈ 7.30 - 7.30 24.70 - 24.70 N/A - N/A U2 = good poor bad U2 U2 = U2 - noChange method 22200 b 19.79
6450 - Northern boreal alluvial meadows LV BOR 61188 19.17 = x 138.30 179.80 N/A estimate b 30.07 - x N/A - N/A 41.49 - 69.15 69.15 - 96.82 U2 - good poor bad U2 U2 - U2 - knowledge knowledge N/A a 0
6450 - Northern boreal alluvial meadows EE BOR 38500 12.06 = ≈ 150 190 N/A estimate a 32.14 = ≈ 89 - 89 36 - 36 25 - 65 U1 - good poor poor U1 U1 - U1 = method method 21400 a 19.07
6460 - Peat grasslands of Troodos CY MED 2 100 = ≈ N/A N/A 0.02 estimate a 100 = ≈ 0.02 - 0.02 N/A - N/A N/A - N/A FV = good good good FV FV = FV N/A noChange noChange 100 a 100
6510 - Lowland hay meadows (Alopecurus pratensis, Sanguisorba officinalis) HR ALP 6800 3.16 = ≈ 90 100 N/A estimate a 2.14 = ≈ 55 - 60 5 - 8 30 - 32 XX u good good unk FV FV = N/A N/A N/A 6000 a 4.38
6510 - Lowland hay meadows (Alopecurus pratensis, Sanguisorba officinalis) RO ALP 2800 1.30 = ≈ N/A N/A 1500 interval b 33.74 = ≈ 600 - 1200 50 - 100 50 - 200 FV = good good good FV FV = FV N/A noChange noChange 1200 a 0.88
6510 - Lowland hay meadows (Alopecurus pratensis, Sanguisorba officinalis) RO BLS 900 19.15 = ≈ N/A N/A 400 interval b 97.97 = ≈ 100 - 350 N/A - N/A N/A - 50 FV + good good good FV FV = FV N/A noChange noChange 300 a 11.54
6510 - Lowland hay meadows (Alopecurus pratensis, Sanguisorba officinalis) RO CON 5700 0.64 = ≈ N/A N/A 3400 interval b 20.64 = ≈ 2600 - 3000 50 - 200 50 - 200 FV + good good good FV FV = FV N/A noChange noChange 3200 a 0.51
6510 - Lowland hay meadows (Alopecurus pratensis, Sanguisorba officinalis) RO PAN 1200 1.80 = ≈ N/A N/A 700 interval b 67.84 = ≈ 500 - 600 N/A - N/A 50 - 100 FV u good good good FV FV = FV N/A noChange noChange 700 a 1.08
6510 - Lowland hay meadows (Alopecurus pratensis, Sanguisorba officinalis) RO STE 1200 100 = ≈ N/A N/A 700 interval b 100 = ≈ 500 - 600 N/A - N/A N/A - 100 FV = good good good FV FV = FV N/A noChange noChange 600 a 100
6510 - Lowland hay meadows (Alopecurus pratensis, Sanguisorba officinalis) DE CON 271429 30.54 = ≈ 1320.86 1440.19 1418.18 estimate b 8.61 - >> 957.27 - 1170 248.18 - 460.91 N/A - N/A U2 - good bad bad U2 U2 - U2 - noChange noChange 253800 b 40.79
6510 - Lowland hay meadows (Alopecurus pratensis, Sanguisorba officinalis) LV BOR 61453 14.55 = x 43.39 56.40 N/A estimate b 11.94 - x N/A - N/A 13.01 - 21.69 21.69 - 30.37 U2 - good poor poor U1 U2 - U2 - knowledge knowledge N/A a 0
6510 - Lowland hay meadows (Alopecurus pratensis, Sanguisorba officinalis) ES ALP 14500 6.73 x x N/A N/A 272.26 estimate b 6.12 - x N/A - N/A N/A - N/A 272.26 - 272.26 XX x unk unk unk XX U2 x U2 - noChange noInfo 7800 b 5.69
6510 - Lowland hay meadows (Alopecurus pratensis, Sanguisorba officinalis) SE BOR 225400 53.37 = ≈ N/A N/A 17 estimate b 4.07 - >> 5 - 5 12 - 12 N/A - N/A U2 - good bad bad U2 U2 - U2 - noChange noChange 87100 b 48.47
6510 - Lowland hay meadows (Alopecurus pratensis, Sanguisorba officinalis) SE CON 19900 2.24 = ≈ N/A N/A 2.60 estimate b 0.02 - >> 0.80 - 0.80 1.80 - 1.80 N/A - N/A U2 - good bad bad U2 U2 - U2 - noChange noChange 7700 b 1.24
6510 - Lowland hay meadows (Alopecurus pratensis, Sanguisorba officinalis) LU CON 3900 0.44 = ≈ 126.60 165.53 N/A estimate b 0.89 - > 21.67 - 28.33 104.82 - 137.09 N/A - N/A U2 - good poor bad U2 U2 - U2 - genuine genuine 2600 a 0.42
6510 - Lowland hay meadows (Alopecurus pratensis, Sanguisorba officinalis) ES ATL 66300 16.70 = ≈ N/A N/A 897.82 estimate b 20.51 = ≈ 237.01 - 237.01 44.03 - 44.03 616.77 - 616.77 U1 = good good poor U1 U1 = U2 - method method 43100 b 19.73
6510 - Lowland hay meadows (Alopecurus pratensis, Sanguisorba officinalis) ES MED 73600 50.96 x ≈ N/A N/A 277.45 estimate b 34.64 - > 171.11 - 171.11 10.01 - 10.01 96.32 - 96.32 U1 x unk poor unk XX U1 x U2 - method knowledge 34100 b 41.59
6510 - Lowland hay meadows (Alopecurus pratensis, Sanguisorba officinalis) LT BOR 64787 15.34 = 64787 N/A N/A 319 estimate a 76.33 + ≈ 159 - 159 70 - 70 90 - 90 U1 u good poor poor U1 U1 = U1 = knowledge knowledge 62800 a 34.95
6510 - Lowland hay meadows (Alopecurus pratensis, Sanguisorba officinalis) IT MED 37400 25.90 = ≈ 298.21 371.98 N/A estimate b 41.84 - > 106.38 - 106.38 136.09 - 136.09 40.63 - 40.63 U2 - good poor bad U2 U2 - U1 - knowledge noChange 20200 b 24.63
6510 - Lowland hay meadows (Alopecurus pratensis, Sanguisorba officinalis) IT CON 77100 8.67 + ≈ 862.74 920.57 N/A estimate b 5.41 = > N/A - N/A N/A - N/A 862.74 - 920.57 XX = poor poor good U1 U1 + U1 = noChange knowledge 47400 b 7.62
6510 - Lowland hay meadows (Alopecurus pratensis, Sanguisorba officinalis) IT ALP 57000 26.45 + ≈ 390.94 598.45 N/A estimate b 11.13 - > 62.74 - 62.74 4.47 - 4.47 0.68 - 0.68 U1 - good poor poor U1 U1 = U2 - knowledge knowledge 34400 b 25.09
6510 - Lowland hay meadows (Alopecurus pratensis, Sanguisorba officinalis) SI ALP 7656 3.55 = 7656 N/A N/A 104 minimum b 2.34 - > 75 - 79 25 - 29 N/A - N/A U1 - good bad bad U2 U2 - U2 - noChange noChange 4200 b 3.06
6510 - Lowland hay meadows (Alopecurus pratensis, Sanguisorba officinalis) SI CON 12616 1.42 = 12616 N/A N/A 272 minimum b 1.65 - > 200 - 207 65 - 72 N/A - N/A U1 - good bad bad U2 U2 - U2 - noChange noChange 9700 b 1.56
6510 - Lowland hay meadows (Alopecurus pratensis, Sanguisorba officinalis) FI BOR 28200 6.68 = > N/A N/A 0.50 estimate b 0.12 = > 0.40 - 0.40 N/A - N/A 0.10 - 0.10 U1 = poor bad bad U2 U2 = U2 - noChange method 6100 a 3.39
6510 - Lowland hay meadows (Alopecurus pratensis, Sanguisorba officinalis) FR ALP 27700 12.86 = ≈ 55 55 N/A estimate c 1.24 - > N/A - 20 N/A - 20 N/A - 20 U1 - good poor bad U2 U2 - U2 - noChange noChange 11600 b 8.46
6510 - Lowland hay meadows (Alopecurus pratensis, Sanguisorba officinalis) BE CON 15399 1.73 = ≈ N/A N/A 85.40 estimate a 0.52 - >> 12.60 - 21 38.60 - 64.30 34.20 - 34.20 U2 = good bad bad U2 U2 - U2 - noChange noChange 11900 a 1.91
6510 - Lowland hay meadows (Alopecurus pratensis, Sanguisorba officinalis) BE ATL 22300 5.62 = ≈ N/A N/A 37.62 estimate b 0.86 - >> 1.59 - 4.47 16.57 - 19.45 16.37 - 16.37 U2 - good bad bad U2 U2 - U2 - noChange noChange 19700 a 9.02
6510 - Lowland hay meadows (Alopecurus pratensis, Sanguisorba officinalis) FR ATL 186100 46.87 = ≈ N/A N/A 3300 estimate c 75.40 - ≈ 50 - 700 N/A - 3300 N/A - 3300 U2 - good bad bad U2 U2 - U2 - noChange noChange 85500 b 39.13
6510 - Lowland hay meadows (Alopecurus pratensis, Sanguisorba officinalis) FR CON 192900 21.70 = > 1000 121500 N/A minimum c 6.07 - > 1000 - 121500 1000 - 121500 1000 - 121500 U2 - bad bad bad U2 U2 - U2 - noChange noChange 101300 b 16.28
6510 - Lowland hay meadows (Alopecurus pratensis, Sanguisorba officinalis) FR MED 20000 13.85 = x 156 191 N/A estimate c 21.66 - x 156 - 191 156 - 191 156 - 191 U2 u good poor poor U2 U2 - U2 - noChange noChange 19700 b 24.02
6510 - Lowland hay meadows (Alopecurus pratensis, Sanguisorba officinalis) AT CON 31600 3.56 = > 80 100 N/A estimate b 0.55 - >> 22 - 22 7 - 7 51 - 71 U2 x poor bad bad U2 U2 x U2 x noChange noChange 23700 b 3.81
6510 - Lowland hay meadows (Alopecurus pratensis, Sanguisorba officinalis) AT ALP 31700 14.71 = > 80 100 N/A minimum b 2.02 - >> 22.50 - 22.50 2.70 - 2.70 54.80 - 74.80 U1 x poor bad bad U2 U2 x U2 x noChange noChange 24100 b 17.58
6510 - Lowland hay meadows (Alopecurus pratensis, Sanguisorba officinalis) IE ATL 8100 2.04 - 19200 N/A N/A 1.60 minimum a 0.04 - >> 0.85 - 0.85 0.75 - 0.75 N/A - N/A U2 - bad bad bad U2 U2 - U2 = noChange knowledge 3900 a 1.78
6510 - Lowland hay meadows (Alopecurus pratensis, Sanguisorba officinalis) HR CON 26100 2.94 = ≈ 260 290 N/A estimate a 1.67 = ≈ 35 - 37 25 - 31 200 - 222 U1 u good good poor U1 U1 = N/A N/A noChange noChange 23200 a 3.73
6510 - Lowland hay meadows (Alopecurus pratensis, Sanguisorba officinalis) SK ALP 33525.16 15.56 = ≈ N/A N/A 1521.12 estimate b 34.22 + ≈ 37.30 - 37.30 20.03 - 20.03 1463.79 - 1463.79 FV u good good good FV FV = FV N/A N/A N/A 34800 b 25.38
6510 - Lowland hay meadows (Alopecurus pratensis, Sanguisorba officinalis) SK PAN 9544.15 14.33 = ≈ N/A N/A 87.72 estimate b 8.50 + > 4.55 - 4.55 2.25 - 2.25 80.93 - 80.93 FV u good good good FV U1 = U1 = N/A N/A 10200 b 15.67
6510 - Lowland hay meadows (Alopecurus pratensis, Sanguisorba officinalis) HU PAN 50474 75.77 = ≈ 230 250 N/A estimate b 23.26 = > 69 - 75 69 - 75 92 - 100 U2 - good poor bad U2 U2 - U1 = knowledge knowledge 51600 b 79.26
6510 - Lowland hay meadows (Alopecurus pratensis, Sanguisorba officinalis) CZ CON 84900 9.55 = ≈ N/A N/A 1431.47 estimate a 8.69 = ≈ 815.79 - 815.79 173.87 - 173.87 441.81 - 441.81 U1 = good good good FV U1 = U2 + knowledge method 78000 a 12.54
6510 - Lowland hay meadows (Alopecurus pratensis, Sanguisorba officinalis) CZ PAN 5400 8.11 = ≈ N/A N/A 4.14 estimate a 0.40 = ≈ 2.23 - 2.23 0.21 - 0.21 1.70 - 1.70 U1 = good good good FV U1 = U1 = noChange noChange 2600 a 3.99
6510 - Lowland hay meadows (Alopecurus pratensis, Sanguisorba officinalis) PT MED 10000 6.92 = ≈ 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 - genuine noChange 5200 c 6.34
6510 - Lowland hay meadows (Alopecurus pratensis, Sanguisorba officinalis) PT ATL 2400 0.60 = ≈ 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 = U1 - noChange knowledge 1100 c 0.50
6510 - Lowland hay meadows (Alopecurus pratensis, Sanguisorba officinalis) DE ALP 3393 1.57 = > 2.50 3.50 3 estimate b 0.07 - 4 1.90 - 2.66 0.30 - 0.42 0.30 - 0.42 U1 - poor bad poor U2 U2 - U2 - noChange noChange 3100 b 2.26
6510 - Lowland hay meadows (Alopecurus pratensis, Sanguisorba officinalis) DE ATL 59226 14.92 + >> 79.96 149.96 114.96 estimate b 2.63 - >> 72.94 - 92.34 21.37 - 39.69 1.26 - 2.33 U2 - bad bad bad U2 U2 - U2 - noChange noChange 45500 b 20.82
6510 - Lowland hay meadows (Alopecurus pratensis, Sanguisorba officinalis) GR MED 713 0.49 = ≈ N/A N/A 10.38 estimate b 1.30 = ≈ 9.34 - 9.34 N/A - N/A 1.04 - 1.04 FV = good good good FV FV = U1 = knowledge noChange 700 b 0.85
6510 - Lowland hay meadows (Alopecurus pratensis, Sanguisorba officinalis) BG CON 59100 6.65 u 59100 N/A N/A 137.67 minimum b 0.84 - 137.67 N/A - N/A N/A - N/A 137.67 - 137.67 XX x bad bad bad U2 U2 x U1 = noChange method 22500 b 3.62
6510 - Lowland hay meadows (Alopecurus pratensis, Sanguisorba officinalis) BG BLS 3800 80.85 + 3800 N/A N/A 8.28 minimum b 2.03 u 8.28 N/A - N/A N/A - N/A 8.28 - 8.28 XX x bad bad bad U2 U2 x FV N/A method method 2300 b 88.46
6510 - Lowland hay meadows (Alopecurus pratensis, Sanguisorba officinalis) BG ALP 21200 9.84 = 21200 N/A N/A 10.47 minimum b 0.24 = 10.47 N/A - N/A N/A - N/A 10.47 - 10.47 XX x poor poor poor U1 U1 = FV N/A method method 5300 b 3.87
6510 - Lowland hay meadows (Alopecurus pratensis, Sanguisorba officinalis) HR MED 2700 1.87 = ≈ 4 5 N/A estimate a 0.56 = x 1 - 1 N/A - N/A 3 - 4 XX u good unk unk XX XX N/A N/A noChange noChange 2100 a 2.56
6510 - Lowland hay meadows (Alopecurus pratensis, Sanguisorba officinalis) PL CON 88200 9.92 = ≈ 6650 8000 7325 estimate b 44.46 = ≈ 1886.70 - 4796.70 2339.30 - 5269.30 189 - 189 U1 - poor poor poor U1 U1 - U1 - noChange noChange 37200 b 5.98
6510 - Lowland hay meadows (Alopecurus pratensis, Sanguisorba officinalis) UK ATL 43420.37 10.94 = 43420.37 N/A N/A 15.90 estimate a 0.36 - > 8.79 - 8.79 4.09 - 4.09 2.52 - 3.02 U2 = good poor bad U2 U2 - U2 + noChange genuine 11600 a 5.31
6510 - Lowland hay meadows (Alopecurus pratensis, Sanguisorba officinalis) PL ALP 9200 4.27 = ≈ 200 400 300 estimate b 6.75 = ≈ 60 - 270 30 - 240 N/A - N/A U1 = good good good FV U1 = U1 - noChange knowledge 4600 b 3.36
6510 - Lowland hay meadows (Alopecurus pratensis, Sanguisorba officinalis) EE BOR 42500 10.06 = ≈ 30 33 N/A estimate b 7.54 = ≈ 25 - 25 N/A - N/A 5 - 8 FV = good good good FV FV = FV N/A noChange noChange 23700 a 13.19
6510 - Lowland hay meadows (Alopecurus pratensis, Sanguisorba officinalis) NL ATL 9200 2.32 = ≈ N/A N/A 9 estimate a 0.21 = >> 1.90 - 6.20 2.80 - 7.10 N/A - N/A U2 = good bad bad U2 U2 = U2 = noChange noChange 8100 a 3.71
6520 - Mountain hay meadows HU PAN 8406 100 = ≈ 30 35 N/A estimate b 100 - > 18 - 21 6 - 7 6 - 7 U1 - good poor poor U1 U1 - U1 - noChange noChange 9900 b 100
6520 - Mountain hay meadows BG CON 27300 17.54 = 27300 N/A N/A 58.93 minimum b 0.55 = 58.93 N/A - N/A N/A - N/A 58.93 - 58.93 XX x poor poor poor U1 U1 = U1 = method method 9100 b 10.20
6520 - Mountain hay meadows BG ALP 23000 9.20 + 23000 N/A N/A 164.02 minimum b 1.69 = 164.02 N/A - N/A N/A - N/A 164.02 - 164.02 XX x good good unk FV FV = U1 = method method 13800 b 10.84
6520 - Mountain hay meadows HR CON 100 0.06 = >> N/A N/A 0.03 estimate a 0 = >> 0.03 - 0.03 N/A - N/A N/A - N/A FV = bad bad unk U2 U2 = N/A N/A noChange noChange 100 a 0.11
6520 - Mountain hay meadows IT MED 5000 0 x > N/A N/A 4.23 estimate b 0 x > 0.18 - 0.18 N/A - N/A N/A - N/A U1 x poor poor poor U1 U1 x N/A N/A knowledge knowledge N/A b 0
6520 - Mountain hay meadows IT CON 11400 7.33 - >> 79.72 302.62 N/A estimate b 1.80 - >> 4.04 - 4.04 N/A - N/A N/A - N/A U1 - bad bad bad U2 U2 - U2 - noChange noChange 3500 b 3.92
6520 - Mountain hay meadows IT ALP 52800 21.12 = > 682.12 892.25 N/A estimate b 8.09 + ≈ 140.98 - 140.98 8.38 - 8.38 1 - 1 U1 = poor good poor U1 U1 + U2 - knowledge knowledge 37100 b 29.14
6520 - Mountain hay meadows PL ALP 9900 3.96 = ≈ N/A N/A 50 estimate b 0.51 - > 15 - 37.50 12.50 - 35 N/A - N/A U1 - good poor poor U1 U1 - U1 - noChange noChange 6100 b 4.79
6520 - Mountain hay meadows CZ CON 13400 8.61 u ≈ N/A N/A 114.48 estimate a 1.08 u ≈ 85.74 - 85.74 8.14 - 8.14 20.61 - 20.61 U1 = good good good FV U1 x U1 + noChange method 8200 a 9.19
6520 - Mountain hay meadows FR CON 39500 25.38 = x 100 20000 N/A minimum c 94.42 - x 100 - 20000 100 - 20000 100 - 20000 U2 - poor bad bad U2 U2 - U2 - noChange noChange 20300 b 22.76
6520 - Mountain hay meadows SK ALP 4689.68 1.88 x ≈ N/A N/A 9.84 estimate b 0.10 - > 2.03 - 2.03 1.56 - 1.56 6.24 - 6.24 FV u unk poor poor U1 U1 x U1 = N/A N/A 4800 b 3.77
6520 - Mountain hay meadows UK ATL 20954.52 100 = 20954.52 N/A N/A 9.26 estimate a 100 - >> 1.68 - 1.68 1.03 - 1.03 6.55 - 6.55 U2 - unk bad bad U2 U2 - U2 - noChange noChange 8300 a 100
6520 - Mountain hay meadows DE CON 43399 27.89 - > 157.26 175.01 173.01 estimate b 1.63 - >> 125.78 - 147.58 25.43 - 47.23 N/A - N/A U1 - poor bad poor U2 U2 - U2 - noChange noChange 36300 b 40.70
6520 - Mountain hay meadows AT CON 7400 4.76 x >> 9 10 N/A estimate b 0.09 - >> 2.70 - 2.70 2 - 2 4.30 - 5.30 U2 x bad bad bad U2 U2 x U2 x noChange noChange 4000 b 4.48
6520 - Mountain hay meadows SE ALP 62300 24.92 = ≈ N/A N/A 2.70 estimate b 0.03 - >> 0.80 - 0.80 1.90 - 1.90 N/A - N/A U2 - good bad bad U2 U2 - U2 - noChange noChange 11300 b 8.88
6520 - Mountain hay meadows SE BOR 164100 100 = ≈ N/A N/A 6.80 estimate b 100 - >> 2 - 2 4.80 - 4.80 N/A - N/A U2 - good bad bad U2 U2 - U2 - noChange noChange 38900 b 100
6520 - Mountain hay meadows AT ALP 31700 12.68 x >> 30 50 N/A minimum b 0.41 - >> 1.50 - 1.50 0.60 - 0.60 27.90 - 47.90 U2 x bad bad bad U2 U2 x U2 x noChange noChange 12100 b 9.51
6520 - Mountain hay meadows BE CON 5400 3.47 = ≈ 5.12 11.50 7.50 estimate a 0.07 - > 0.99 - 2.47 3.72 - 9.02 6.78 - 6.78 U2 = good bad bad U2 U2 - U2 - noChange noChange 2900 a 3.25
6520 - Mountain hay meadows ES ALP 5200 2.08 = ≈ N/A N/A 13.37 estimate b 0.14 - ≈ N/A - N/A N/A - N/A 13.37 - 13.37 XX x good poor unk U1 U1 x U2 - genuine noInfo 2700 a 2.12
6520 - Mountain hay meadows PL CON 7200 4.63 = ≈ 35 40 37.50 estimate b 0.35 = ≈ 13.60 - 32.70 4.80 - 23.90 N/A - N/A U1 = good good good FV U1 = U1 - noChange knowledge 4400 b 4.93
6520 - Mountain hay meadows FR MED 12600 100 = x 5 57 N/A estimate c 100 - x 5 - 57 5 - 57 5 - 57 U1 u good poor poor U2 U2 - U2 - noChange noChange 3600 b 100
6520 - Mountain hay meadows FR ALP 34100 13.64 - > 55 55 N/A estimate c 0.57 - >> N/A - 55 N/A - 55 55 - 55 U2 - poor bad bad U2 U2 - U2 - noChange noChange 24100 b 18.93
6520 - Mountain hay meadows DE ALP 3536 1.41 = ≈ 6 9 7.50 estimate b 0.08 - > 4.70 - 6.50 0.30 - 0.50 1 - 2 U1 - good poor poor U1 U1 - U1 - noChange noChange 3500 b 2.75
6520 - Mountain hay meadows SI ALP 2746 1.10 = ≈ N/A N/A 101.29 minimum b 1.04 - > 101.29 - 101.29 N/A - N/A N/A - N/A U1 = good poor unk U1 U1 - U1 = noChange knowledge 3400 b 2.67
6520 - Mountain hay meadows RO ALP 19500 7.80 = ≈ N/A N/A 8500 interval b 87.34 = ≈ 6000 - 7900 50 - 200 100 - 400 FV = good good good FV FV = FV N/A noChange noChange 7900 a 6.21
6520 - Mountain hay meadows HR ALP 500 0.20 = >> N/A N/A 0.80 estimate a 0.01 u >> 0.80 - 0.80 N/A - N/A N/A - N/A FV u bad bad good U2 U2 x N/A N/A noChange noChange 500 a 0.39
6520 - Mountain hay meadows SI CON 514 0.33 = ≈ N/A N/A 1.30 minimum c 0.01 - > N/A - N/A N/A - N/A 1.30 - 1.30 U1 - good poor unk U1 U1 - U1 = noChange knowledge 400 b 0.45
6530 - Fennoscandian wooded meadows LV BOR 22558 11.36 x x 10.75 14 N/A estimate b 17.67 u x N/A - N/A 3.23 - 5.38 5.38 - 75.20 U2 - good poor bad U2 U2 x U2 - knowledge knowledge N/A a 0
6530 - Fennoscandian wooded meadows EE BOR 33000 16.61 u ≈ 20 40 N/A estimate a 42.84 u ≈ 12 - 12 8 - 25 N/A - N/A U2 - poor poor bad U2 U2 x U1 = method noChange 19600 a 39.44
6530 - Fennoscandian wooded meadows FI BOR 9100 4.58 = ≈ 1 2.30 N/A estimate b 2.36 - > 0.67 - 0.67 0.33 - 1.63 N/A - N/A U2 = good bad bad U2 U2 - U2 = noChange genuine 3200 b 6.44
6530 - Fennoscandian wooded meadows SE CON 8500 100 = >> N/A N/A 0.13 estimate b 100 - >> 0.03 - 0.03 0.10 - 0.10 N/A - N/A U2 - bad bad bad U2 U2 - U2 - noChange noChange 1900 b 100
6530 - Fennoscandian wooded meadows LT BOR 64787 32.61 = 64787 N/A N/A 9 estimate a 12.85 u > 3.60 - 3.60 5.40 - 5.40 N/A - N/A U2 u good bad poor U2 U2 x U2 - knowledge knowledge 8700 a 17.51
6530 - Fennoscandian wooded meadows SE BOR 69200 34.84 = >> N/A N/A 17 estimate b 24.28 - >> 8.50 - 8.50 8.50 - 8.50 N/A - N/A U2 - bad bad bad U2 U2 - U2 - noChange noChange 18200 b 36.62
6540 - Sub-Mediterranean grasslands of the Molinio-Hordeion secalini HR MED 7900 100 = ≈ 61 85 N/A estimate a 100 = ≈ 5 - 5.50 N/A - N/A 56 - 80 XX = good good good FV FV = N/A N/A noChange noChange 7900 a 100