Changes
On January 28, 2022 at 7:23:20 AM UTC, draxis:
-
No fields were updated. See the metadata diff for more details.
f | 1 | { | f | 1 | { |
2 | "author": null, | 2 | "author": null, | ||
3 | "author_email": null, | 3 | "author_email": null, | ||
4 | "creator_user_id": "5ee46fcc-114d-45b7-bd66-c44e18087b37", | 4 | "creator_user_id": "5ee46fcc-114d-45b7-bd66-c44e18087b37", | ||
5 | "extras": [ | 5 | "extras": [ | ||
6 | { | 6 | { | ||
7 | "key": "Access level", | 7 | "key": "Access level", | ||
8 | "value": "Public" | 8 | "value": "Public" | ||
9 | }, | 9 | }, | ||
10 | { | 10 | { | ||
11 | "key": "Data timespan", | 11 | "key": "Data timespan", | ||
12 | "value": "\u039d\u03bf" | 12 | "value": "\u039d\u03bf" | ||
13 | }, | 13 | }, | ||
14 | { | 14 | { | ||
15 | "key": "Data update frequency", | 15 | "key": "Data update frequency", | ||
16 | "value": "Static" | 16 | "value": "Static" | ||
17 | }, | 17 | }, | ||
18 | { | 18 | { | ||
19 | "key": "Geographical area", | 19 | "key": "Geographical area", | ||
20 | "value": "Unavailable" | 20 | "value": "Unavailable" | ||
21 | }, | 21 | }, | ||
22 | { | 22 | { | ||
23 | "key": "Language", | 23 | "key": "Language", | ||
24 | "value": "English" | 24 | "value": "English" | ||
25 | }, | 25 | }, | ||
26 | { | 26 | { | ||
27 | "key": "Organization", | 27 | "key": "Organization", | ||
28 | "value": "Dryad" | 28 | "value": "Dryad" | ||
29 | }, | 29 | }, | ||
30 | { | 30 | { | ||
31 | "key": "Time interval", | 31 | "key": "Time interval", | ||
32 | "value": "\u039d\u03bf" | 32 | "value": "\u039d\u03bf" | ||
33 | } | 33 | } | ||
34 | ], | 34 | ], | ||
35 | "groups": [ | 35 | "groups": [ | ||
36 | { | 36 | { | ||
37 | "description": "", | 37 | "description": "", | ||
38 | "display_name": "Food waste", | 38 | "display_name": "Food waste", | ||
39 | "id": "6d48c382-7e2b-4692-a74d-a6af92d78889", | 39 | "id": "6d48c382-7e2b-4692-a74d-a6af92d78889", | ||
40 | "image_display_url": | 40 | "image_display_url": | ||
41 | ahub.digicirc.eu/uploads/group/2022-01-21-101533.624243Foodwaste.jpg", | 41 | ahub.digicirc.eu/uploads/group/2022-01-21-101533.624243Foodwaste.jpg", | ||
42 | "name": "food-waste", | 42 | "name": "food-waste", | ||
43 | "title": "Food waste" | 43 | "title": "Food waste" | ||
44 | } | 44 | } | ||
45 | ], | 45 | ], | ||
46 | "id": "5b832b52-1d13-48e3-b324-a1e3a9335d76", | 46 | "id": "5b832b52-1d13-48e3-b324-a1e3a9335d76", | ||
47 | "isopen": true, | 47 | "isopen": true, | ||
48 | "license_id": "CC0-1.0", | 48 | "license_id": "CC0-1.0", | ||
49 | "license_title": "CC0 1.0", | 49 | "license_title": "CC0 1.0", | ||
50 | "license_url": "https://creativecommons.org/publicdomain/zero/1.0/", | 50 | "license_url": "https://creativecommons.org/publicdomain/zero/1.0/", | ||
51 | "maintainer": null, | 51 | "maintainer": null, | ||
52 | "maintainer_email": null, | 52 | "maintainer_email": null, | ||
53 | "metadata_created": "2022-01-26T07:35:52.762520", | 53 | "metadata_created": "2022-01-26T07:35:52.762520", | ||
t | 54 | "metadata_modified": "2022-01-28T00:07:45.408593", | t | 54 | "metadata_modified": "2022-01-28T07:23:20.457881", |
55 | "name": | 55 | "name": | ||
56 | "how-much-would-it-cost-to-monitor-farmland-biodiversity-in-europe", | 56 | "how-much-would-it-cost-to-monitor-farmland-biodiversity-in-europe", | ||
57 | "notes": "1. To evaluate progress on political biodiversity | 57 | "notes": "1. To evaluate progress on political biodiversity | ||
58 | objectives, biodiversity monitoring provides information on whether | 58 | objectives, biodiversity monitoring provides information on whether | ||
59 | intended results are being achieved. Despite scientific proof that | 59 | intended results are being achieved. Despite scientific proof that | ||
60 | monitoring and evaluation increase the (cost) efficiency of policy | 60 | monitoring and evaluation increase the (cost) efficiency of policy | ||
61 | measures, cost estimates for monitoring schemes are seldom available, | 61 | measures, cost estimates for monitoring schemes are seldom available, | ||
62 | hampering their inclusion in policy programme budgets. Empirical data | 62 | hampering their inclusion in policy programme budgets. Empirical data | ||
63 | collected from 12 case studies across Europe were used in a power | 63 | collected from 12 case studies across Europe were used in a power | ||
64 | analysis to estimate the number of farms that would need to be sampled | 64 | analysis to estimate the number of farms that would need to be sampled | ||
65 | per major farm type to detect changes in species richness over time | 65 | per major farm type to detect changes in species richness over time | ||
66 | for four taxa (vascular plants, earthworms, spiders and bees). \n | 66 | for four taxa (vascular plants, earthworms, spiders and bees). \n | ||
67 | \n2. A sampling design was developed to allocate spatially, across | 67 | \n2. A sampling design was developed to allocate spatially, across | ||
68 | Europe, the farms that should be sampled. Cost estimates are provided | 68 | Europe, the farms that should be sampled. Cost estimates are provided | ||
69 | for nine monitoring scenarios with differing robustness for detecting | 69 | for nine monitoring scenarios with differing robustness for detecting | ||
70 | temporal changes in species numbers. These cost estimates are compared | 70 | temporal changes in species numbers. These cost estimates are compared | ||
71 | with the Common Agricultural Policy (CAP) budget (2014\u20132020) to | 71 | with the Common Agricultural Policy (CAP) budget (2014\u20132020) to | ||
72 | determine the budget allocation required for the proposed farmland | 72 | determine the budget allocation required for the proposed farmland | ||
73 | biodiversity monitoring. Results show that the bee indicator requires | 73 | biodiversity monitoring. Results show that the bee indicator requires | ||
74 | the highest number of farms to be sampled and the vascular plant | 74 | the highest number of farms to be sampled and the vascular plant | ||
75 | indicator the lowest. The costs for the nine farmland biodiversity | 75 | indicator the lowest. The costs for the nine farmland biodiversity | ||
76 | monitoring scenarios corresponded to 0\u00b701%\u20130\u00b774% of the | 76 | monitoring scenarios corresponded to 0\u00b701%\u20130\u00b774% of the | ||
77 | total CAP budget and to 0\u00b704%\u20132\u00b748% of the CAP budget | 77 | total CAP budget and to 0\u00b704%\u20132\u00b748% of the CAP budget | ||
78 | specifically allocated to environmental targets. Synthesis and | 78 | specifically allocated to environmental targets. Synthesis and | ||
79 | applications. The results of the cost scenarios demonstrate that, | 79 | applications. The results of the cost scenarios demonstrate that, | ||
80 | based on the taxa and methods used in this study, a Europe-wide | 80 | based on the taxa and methods used in this study, a Europe-wide | ||
81 | farmland biodiversity monitoring scheme would require a modest share | 81 | farmland biodiversity monitoring scheme would require a modest share | ||
82 | of the Common Agricultural Policy budget. The monitoring scenarios are | 82 | of the Common Agricultural Policy budget. The monitoring scenarios are | ||
83 | flexible and can be adapted or complemented with alternate data | 83 | flexible and can be adapted or complemented with alternate data | ||
84 | collection options (e.g. at national scale or voluntary efforts), data | 84 | collection options (e.g. at national scale or voluntary efforts), data | ||
85 | mobilization, data integration or modelling efforts. \n \n3. 12 | 85 | mobilization, data integration or modelling efforts. \n \n3. 12 | ||
86 | case studies across Europe. \n \n4. A sampling design was developed | 86 | case studies across Europe. \n \n4. A sampling design was developed | ||
87 | to allocate spatially, across Europe, the farms that should be | 87 | to allocate spatially, across Europe, the farms that should be | ||
88 | sampled.", | 88 | sampled.", | ||
89 | "num_resources": 2, | 89 | "num_resources": 2, | ||
90 | "num_tags": 9, | 90 | "num_tags": 9, | ||
91 | "organization": { | 91 | "organization": { | ||
92 | "approval_status": "approved", | 92 | "approval_status": "approved", | ||
93 | "created": "2020-12-24T09:12:18.486073", | 93 | "created": "2020-12-24T09:12:18.486073", | ||
94 | "description": "EU\u2019s ambitions to become the world\u2019s | 94 | "description": "EU\u2019s ambitions to become the world\u2019s | ||
95 | first carbon-neutral region by 2050 will require a switch from an | 95 | first carbon-neutral region by 2050 will require a switch from an | ||
96 | economy dependent on fossil raw-materials to a bioeconomy, harnessing | 96 | economy dependent on fossil raw-materials to a bioeconomy, harnessing | ||
97 | the production and processing of renewable raw materials. Keeping | 97 | the production and processing of renewable raw materials. Keeping | ||
98 | non-organic materials in the production loop, displacing non- | 98 | non-organic materials in the production loop, displacing non- | ||
99 | renewable materials and more effective utilization of organic | 99 | renewable materials and more effective utilization of organic | ||
100 | resources avoids negative environmental impact.", | 100 | resources avoids negative environmental impact.", | ||
101 | "id": "465b50d7-b92d-49cd-b100-e9a0950dacd1", | 101 | "id": "465b50d7-b92d-49cd-b100-e9a0950dacd1", | ||
102 | "image_url": "2021-10-21-123558.684909bioeconomy.jpg", | 102 | "image_url": "2021-10-21-123558.684909bioeconomy.jpg", | ||
103 | "is_organization": true, | 103 | "is_organization": true, | ||
104 | "name": "bioeconomy", | 104 | "name": "bioeconomy", | ||
105 | "state": "active", | 105 | "state": "active", | ||
106 | "title": "Bioeconomy", | 106 | "title": "Bioeconomy", | ||
107 | "type": "organization" | 107 | "type": "organization" | ||
108 | }, | 108 | }, | ||
109 | "owner_org": "465b50d7-b92d-49cd-b100-e9a0950dacd1", | 109 | "owner_org": "465b50d7-b92d-49cd-b100-e9a0950dacd1", | ||
110 | "private": false, | 110 | "private": false, | ||
111 | "relationships_as_object": [], | 111 | "relationships_as_object": [], | ||
112 | "relationships_as_subject": [], | 112 | "relationships_as_subject": [], | ||
113 | "resources": [ | 113 | "resources": [ | ||
114 | { | 114 | { | ||
115 | "cache_last_updated": null, | 115 | "cache_last_updated": null, | ||
116 | "cache_url": null, | 116 | "cache_url": null, | ||
117 | "created": "2022-01-26T07:35:53.233205", | 117 | "created": "2022-01-26T07:35:53.233205", | ||
118 | "datastore_active": true, | 118 | "datastore_active": true, | ||
119 | "description": null, | 119 | "description": null, | ||
120 | "format": "CSV", | 120 | "format": "CSV", | ||
121 | "hash": "", | 121 | "hash": "", | ||
122 | "id": "31aa2456-3909-4048-9728-3019bf3e1d44", | 122 | "id": "31aa2456-3909-4048-9728-3019bf3e1d44", | ||
123 | "last_modified": "2022-01-26T07:35:53.164912", | 123 | "last_modified": "2022-01-26T07:35:53.164912", | ||
124 | "metadata_modified": "2022-01-26T07:35:53.191195", | 124 | "metadata_modified": "2022-01-26T07:35:53.191195", | ||
125 | "mimetype": "text/csv", | 125 | "mimetype": "text/csv", | ||
126 | "mimetype_inner": null, | 126 | "mimetype_inner": null, | ||
127 | "name": "Geijzendorffer_et_al_2015_farm_species_richness", | 127 | "name": "Geijzendorffer_et_al_2015_farm_species_richness", | ||
128 | "package_id": "5b832b52-1d13-48e3-b324-a1e3a9335d76", | 128 | "package_id": "5b832b52-1d13-48e3-b324-a1e3a9335d76", | ||
129 | "position": 0, | 129 | "position": 0, | ||
130 | "resource_type": null, | 130 | "resource_type": null, | ||
131 | "size": 15225, | 131 | "size": 15225, | ||
132 | "state": "active", | 132 | "state": "active", | ||
133 | "url": | 133 | "url": | ||
134 | f3e1d44/download/geijzendorffer_et_al_2015_farm_species_richness.csv", | 134 | f3e1d44/download/geijzendorffer_et_al_2015_farm_species_richness.csv", | ||
135 | "url_type": "upload" | 135 | "url_type": "upload" | ||
136 | }, | 136 | }, | ||
137 | { | 137 | { | ||
138 | "cache_last_updated": null, | 138 | "cache_last_updated": null, | ||
139 | "cache_url": null, | 139 | "cache_url": null, | ||
140 | "created": "2022-01-26T07:36:33.976282", | 140 | "created": "2022-01-26T07:36:33.976282", | ||
141 | "datastore_active": false, | 141 | "datastore_active": false, | ||
142 | "description": null, | 142 | "description": null, | ||
143 | "format": "TXT", | 143 | "format": "TXT", | ||
144 | "hash": "", | 144 | "hash": "", | ||
145 | "id": "d7968ac3-dd30-4809-81eb-82190015f500", | 145 | "id": "d7968ac3-dd30-4809-81eb-82190015f500", | ||
146 | "last_modified": "2022-01-26T07:36:33.902592", | 146 | "last_modified": "2022-01-26T07:36:33.902592", | ||
147 | "metadata_modified": "2022-01-26T10:33:42.752126", | 147 | "metadata_modified": "2022-01-26T10:33:42.752126", | ||
148 | "mimetype": "text/plain", | 148 | "mimetype": "text/plain", | ||
149 | "mimetype_inner": null, | 149 | "mimetype_inner": null, | ||
150 | "name": | 150 | "name": | ||
151 | "README_for_Geijzendorffer_et_al_2015_farm_species_richness", | 151 | "README_for_Geijzendorffer_et_al_2015_farm_species_richness", | ||
152 | "package_id": "5b832b52-1d13-48e3-b324-a1e3a9335d76", | 152 | "package_id": "5b832b52-1d13-48e3-b324-a1e3a9335d76", | ||
153 | "position": 1, | 153 | "position": 1, | ||
154 | "resource_type": null, | 154 | "resource_type": null, | ||
155 | "size": 2455, | 155 | "size": 2455, | ||
156 | "state": "active", | 156 | "state": "active", | ||
157 | "url": | 157 | "url": | ||
158 | nload/readme_for_geijzendorffer_et_al_2015_farm_species_richness.txt", | 158 | nload/readme_for_geijzendorffer_et_al_2015_farm_species_richness.txt", | ||
159 | "url_type": "upload" | 159 | "url_type": "upload" | ||
160 | } | 160 | } | ||
161 | ], | 161 | ], | ||
162 | "state": "active", | 162 | "state": "active", | ||
163 | "tags": [ | 163 | "tags": [ | ||
164 | { | 164 | { | ||
165 | "display_name": "Agricultural policy", | 165 | "display_name": "Agricultural policy", | ||
166 | "id": "c140c2b3-6291-49da-bb79-e6ca150f3318", | 166 | "id": "c140c2b3-6291-49da-bb79-e6ca150f3318", | ||
167 | "name": "Agricultural policy", | 167 | "name": "Agricultural policy", | ||
168 | "state": "active", | 168 | "state": "active", | ||
169 | "vocabulary_id": null | 169 | "vocabulary_id": null | ||
170 | }, | 170 | }, | ||
171 | { | 171 | { | ||
172 | "display_name": "Analysis", | 172 | "display_name": "Analysis", | ||
173 | "id": "e71ab273-86a0-4781-b962-4b6ecade0b2f", | 173 | "id": "e71ab273-86a0-4781-b962-4b6ecade0b2f", | ||
174 | "name": "Analysis", | 174 | "name": "Analysis", | ||
175 | "state": "active", | 175 | "state": "active", | ||
176 | "vocabulary_id": null | 176 | "vocabulary_id": null | ||
177 | }, | 177 | }, | ||
178 | { | 178 | { | ||
179 | "display_name": "Biodiversity", | 179 | "display_name": "Biodiversity", | ||
180 | "id": "275ff28d-f8bf-4da6-8d3a-97ebf29a7d88", | 180 | "id": "275ff28d-f8bf-4da6-8d3a-97ebf29a7d88", | ||
181 | "name": "Biodiversity", | 181 | "name": "Biodiversity", | ||
182 | "state": "active", | 182 | "state": "active", | ||
183 | "vocabulary_id": null | 183 | "vocabulary_id": null | ||
184 | }, | 184 | }, | ||
185 | { | 185 | { | ||
186 | "display_name": "Farming", | 186 | "display_name": "Farming", | ||
187 | "id": "bb232124-34cb-4c51-a645-0a4300599eba", | 187 | "id": "bb232124-34cb-4c51-a645-0a4300599eba", | ||
188 | "name": "Farming", | 188 | "name": "Farming", | ||
189 | "state": "active", | 189 | "state": "active", | ||
190 | "vocabulary_id": null | 190 | "vocabulary_id": null | ||
191 | }, | 191 | }, | ||
192 | { | 192 | { | ||
193 | "display_name": "Indicator", | 193 | "display_name": "Indicator", | ||
194 | "id": "b1f2c2c1-62c8-49a9-98d0-ac5fd638d18f", | 194 | "id": "b1f2c2c1-62c8-49a9-98d0-ac5fd638d18f", | ||
195 | "name": "Indicator", | 195 | "name": "Indicator", | ||
196 | "state": "active", | 196 | "state": "active", | ||
197 | "vocabulary_id": null | 197 | "vocabulary_id": null | ||
198 | }, | 198 | }, | ||
199 | { | 199 | { | ||
200 | "display_name": "Power", | 200 | "display_name": "Power", | ||
201 | "id": "6c209ad0-2058-456b-ad1f-00953db3038d", | 201 | "id": "6c209ad0-2058-456b-ad1f-00953db3038d", | ||
202 | "name": "Power", | 202 | "name": "Power", | ||
203 | "state": "active", | 203 | "state": "active", | ||
204 | "vocabulary_id": null | 204 | "vocabulary_id": null | ||
205 | }, | 205 | }, | ||
206 | { | 206 | { | ||
207 | "display_name": "Species", | 207 | "display_name": "Species", | ||
208 | "id": "b94ae31c-423c-4ad2-b758-70767c6cba5a", | 208 | "id": "b94ae31c-423c-4ad2-b758-70767c6cba5a", | ||
209 | "name": "Species", | 209 | "name": "Species", | ||
210 | "state": "active", | 210 | "state": "active", | ||
211 | "vocabulary_id": null | 211 | "vocabulary_id": null | ||
212 | }, | 212 | }, | ||
213 | { | 213 | { | ||
214 | "display_name": "System", | 214 | "display_name": "System", | ||
215 | "id": "b5136f5e-5299-4985-9fb0-aeb9d44fa8b3", | 215 | "id": "b5136f5e-5299-4985-9fb0-aeb9d44fa8b3", | ||
216 | "name": "System", | 216 | "name": "System", | ||
217 | "state": "active", | 217 | "state": "active", | ||
218 | "vocabulary_id": null | 218 | "vocabulary_id": null | ||
219 | }, | 219 | }, | ||
220 | { | 220 | { | ||
221 | "display_name": "Trend", | 221 | "display_name": "Trend", | ||
222 | "id": "ba2a801d-6c35-4d74-bfe1-a4a9d0913641", | 222 | "id": "ba2a801d-6c35-4d74-bfe1-a4a9d0913641", | ||
223 | "name": "Trend", | 223 | "name": "Trend", | ||
224 | "state": "active", | 224 | "state": "active", | ||
225 | "vocabulary_id": null | 225 | "vocabulary_id": null | ||
226 | } | 226 | } | ||
227 | ], | 227 | ], | ||
228 | "title": "How much would it cost to monitor farmland biodiversity in | 228 | "title": "How much would it cost to monitor farmland biodiversity in | ||
229 | Europe?", | 229 | Europe?", | ||
230 | "type": "dataset", | 230 | "type": "dataset", | ||
231 | "url": "https://zenodo.org/record/5024821#.YWAqlexxc2w", | 231 | "url": "https://zenodo.org/record/5024821#.YWAqlexxc2w", | ||
232 | "version": null | 232 | "version": null | ||
233 | } | 233 | } |