{ "culture": "en-US", "name": "WCMC_Rest_Opp_EU", "guid": "", "catalogPath": "", "snippet": "UNEP-WCMC has developed a spatial data layer to allow companies to screen for locations that offer opportunities to deliver multiple benefits through ecosystem restoration across Europe. The restoration opportunities layer is intended to be used alongside other data as part of screening and scoping exercises and should be validated on-ground as appropriate.", "description": "The business case for restoration is growing, and there is increasing evidence that the cost of inaction is significantly higher than the cost of investing in nature. Spatial planning, including consideration of biodiversity benefits and Nature\u2019s Contributions to People, can aid private sector decision making on where to restore, prioritising investments that are as effective and efficient as possible. \n\nUNEP-WCMC developed a restoration opportunities layer to allow companies to screen for opportunities to deliver multiple benefits through ecosystem restoration across Europe. Restoration opportunities were relatively ranked across Europe using a spatial optimization approach to find the areas that maximize the potential co-benefit of restoration to nature and people, based on data on the distribution of rarity-weighted species richness, ecoregions, salt marshes, Key Biodiversity Areas, Ramsar sites, and areas relevant to support carbon sequestration, water quality regulation, pollination, coastal protection and useful plant species. \n\nThis restoration opportunities screening layer indicates that the highest restoration opportunities across Europe are in the following areas: areas in Mediterranean countries, areas identified as Key Biodiversity Areas and Ramsar sites that currently show a degree of human impact, and areas upstream of population centres that hold potential to reduce gaps in current delivery of Nature\u2019s Contributions to People, among others

<\/div>
\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
\n

Raster value<\/span><\/p>\n <\/td>\n

\n

Opportunity ranking <\/span><\/p>\n <\/td>\n <\/tr>\n

\n

5<\/span><\/p>\n <\/td>\n

\n

1-5% (Highest restoration opportunity)<\/span><\/p>\n <\/td>\n <\/tr>\n

\n

10<\/span><\/p>\n <\/td>\n

\n

6-10%<\/span><\/p>\n <\/td>\n <\/tr>\n

\n

15<\/span><\/p>\n <\/td>\n

\n

11-15%<\/span><\/p>\n <\/td>\n <\/tr>\n

\n

20<\/span><\/p>\n <\/td>\n

\n

16-20%<\/span><\/p>\n <\/td>\n <\/tr>\n

\n

25<\/span><\/p><\/td>

21-25%<\/span><\/p>\n <\/td>\n <\/tr>\n

\n

30<\/span><\/p>\n <\/td>\n

\n

26-30%<\/span><\/p>\n <\/td>\n <\/tr>\n

\n

35<\/span><\/p>\n <\/td>\n

\n

31-35%<\/span><\/p>\n <\/td>\n <\/tr>\n

\n

40<\/span><\/p>\n <\/td>\n

\n

36-40%<\/span><\/p>\n <\/td>\n <\/tr>\n

\n

45<\/span><\/p>\n <\/td>\n

\n

41-45%<\/span><\/p>\n <\/td>\n <\/tr>\n

\n

50<\/span><\/p>\n <\/td>\n

\n

46-50%<\/span><\/p>\n <\/td>\n <\/tr>\n

\n

55<\/span><\/p>\n <\/td>\n

\n

51-55%<\/span><\/p>\n <\/td>\n <\/tr>\n

\n

60<\/span><\/p>\n <\/td>\n

\n

56-60%<\/span><\/p>\n <\/td>\n <\/tr>\n

\n

65<\/span><\/p>\n <\/td>\n

\n

61-65%<\/span><\/p>\n <\/td>\n <\/tr>\n

\n

70<\/span><\/p>\n <\/td>\n

\n

66-70%<\/span><\/p>\n <\/td>\n <\/tr>\n

\n

75<\/span><\/p>\n <\/td>\n

\n

71-75%<\/span><\/p>\n <\/td>\n <\/tr>\n

\n

80<\/span><\/p>\n <\/td>\n

\n

76-80%<\/span><\/p>\n <\/td>\n <\/tr>\n

\n

85<\/span><\/p>\n <\/td>\n

\n

81-85%<\/span><\/p>\n <\/td>\n <\/tr>\n

\n

90<\/span><\/p>\n <\/td>\n

\n

86-90%<\/span><\/p>\n <\/td>\n <\/tr>\n

\n

95<\/span><\/p>\n <\/td>\n

\n

91-95%<\/span><\/p>\n <\/td>\n <\/tr>\n

\n

100<\/span><\/p>\n <\/td>\n

\n

96-100% (Lowest restoration opportunity)<\/span><\/p>\n <\/td>\n <\/tr>\n<\/tbody><\/table><\/div>


<\/div>
The above table shows the opportunity ranking for each pixel value of the raster. For example, pixel value 30 shows restoration opportunity ranking of 26-30%. Additionally, if for instance, you were interested in identifying the top 15% areas of restoration opportunities, you would have to select pixels with values 15 and all values smaller than it (i.e., 5, 10 and 15). The restoration opportunities layer is intended to be used alongside other data as part of screening and scoping exercises and should be validated on-ground as appropriate.<\/div>", "summary": "UNEP-WCMC has developed a spatial data layer to allow companies to screen for locations that offer opportunities to deliver multiple benefits through ecosystem restoration across Europe. The restoration opportunities layer is intended to be used alongside other data as part of screening and scoping exercises and should be validated on-ground as appropriate.", "title": "Restoration Opportunities, Europe (2023)", "tags": [ "Ecosystem restoration", "Restoration", "Restoration potential", "Spatial planning", "SCP", "Nature's Contributions to People", "Restoration opportunities", "Europe", "Proteus", "Proteus Partners", "Private sector", "ckp:license=cc-by-sa", "ckp:proteus=available", "ckp:theme=nature-conserved", "ckp:theme=nature-economy", "ckp:theme=digital-transformation", "ckp:theme=nature-restored" ], "type": "Image Service", "typeKeywords": [ "Data", "Service", "Image Service", "ArcGIS Server" ], "thumbnail": "", "url": "https://data-gis.unep-wcmc.org/server", "minScale": 4.70499652127928E7, "maxScale": 1470311.41289977, "spatialReference": "ETRS_1989_LAEA", "accessInformation": "Fajardo, J., Bhattacharjee, A., Beard, S., Upton, J., Kamath, V., Dawkins, K., Telhado, C., and Baggaley, S. (2023). Screening for restoration opportunities. A spatial layer to screen for opportunities to deliver multiple benefits through ecosystem restoration in Europe. UNEP-WCMC: Cambridge, UK.", "licenseInfo": "
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License<\/a>." }