Changes
On January 26, 2022 at 7:35:53 AM UTC, draxis:
-
Added resource Geijzendorffer_et_al_2015_farm_species_richness to How much would it cost to monitor farmland biodiversity in Europe?
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42 | "name": "food-waste", | 42 | "name": "food-waste", | ||
43 | "title": "Food waste" | 43 | "title": "Food waste" | ||
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53 | "metadata_created": "2022-01-26T07:35:52.762520", | 53 | "metadata_created": "2022-01-26T07:35:52.762520", | ||
n | 54 | "metadata_modified": "2022-01-26T07:35:52.762545", | n | 54 | "metadata_modified": "2022-01-26T07:35:53.183962", |
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.", | ||
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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.", | ||
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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", | ||
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114 | "state": "active", | 138 | "state": "active", | ||
115 | "tags": [ | 139 | "tags": [ | ||
116 | { | 140 | { | ||
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128 | "vocabulary_id": null | 152 | "vocabulary_id": null | ||
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130 | { | 154 | { | ||
131 | "display_name": "Biodiversity", | 155 | "display_name": "Biodiversity", | ||
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178 | } | 202 | } | ||
179 | ], | 203 | ], | ||
180 | "title": "How much would it cost to monitor farmland biodiversity in | 204 | "title": "How much would it cost to monitor farmland biodiversity in | ||
181 | Europe?", | 205 | Europe?", | ||
182 | "type": "dataset", | 206 | "type": "dataset", | ||
183 | "url": "https://zenodo.org/record/5024821#.YWAqlexxc2w", | 207 | "url": "https://zenodo.org/record/5024821#.YWAqlexxc2w", | ||
184 | "version": null | 208 | "version": null | ||
185 | } | 209 | } |