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WCMC_Rest_Opp_EU (ImageServer)

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Service 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’s Contributions to People, can aid private sector decision making on where to restore, prioritising investments that are as effective and efficient as possible. UNEP-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. This 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’s Contributions to People, among others. Raster value Opportunity ranking 5 : 1-5% (Highest restoration opportunity) 10 : 6-10% 15 : 11-15% 20 : 16-20% 25 : 21-25% 30 : 26-30% 35 : 31-35% 40 : 36-40% 45 : 41-45% 50 : 46-50% 55 : 51-55% 60 : 56-60% 65 : 61-65% 70 : 66-70% 75 : 71-75% 80 : 76-80% 85 : 81-85% 90 : 86-90% 95 : 91-95% 100 : 96-100% (Lowest restoration opportunity) The above rankings 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.

Name: WCMC_Rest_Opp_EU

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’s Contributions to People, can aid private sector decision making on where to restore, prioritising investments that are as effective and efficient as possible. UNEP-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. This 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’s Contributions to People, among others. Raster value Opportunity ranking 5 : 1-5% (Highest restoration opportunity) 10 : 6-10% 15 : 11-15% 20 : 16-20% 25 : 21-25% 30 : 26-30% 35 : 31-35% 40 : 36-40% 45 : 41-45% 50 : 46-50% 55 : 51-55% 60 : 56-60% 65 : 61-65% 70 : 66-70% 75 : 71-75% 80 : 76-80% 85 : 81-85% 90 : 86-90% 95 : 91-95% 100 : 96-100% (Lowest restoration opportunity) The above rankings 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.

Single Fused Map Cache: false

Extent: Initial Extent: Full Extent: Pixel Size X: 19267.531316006385

Pixel Size Y: 19267.531316006385

Band Count: 1

Pixel Type: S8

RasterFunction Infos: {"rasterFunctionInfos": [{ "name": "None", "description": "", "help": "" }]}

Mensuration Capabilities: Basic

Has Histograms: true

Has Colormap: true

Has Multi Dimensions : false

Rendering Rule:

Min Scale: 0

Max Scale: 0

Copyright Text: 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.

Service Data Type: esriImageServiceDataTypeThematic

Min Values: 5

Max Values: 100

Mean Values: 52.503154353007

Standard Deviation Values: 27.452169612028

Object ID Field:

Fields: None

Default Mosaic Method: Center

Allowed Mosaic Methods:

SortField:

SortValue: null

Mosaic Operator: First

Default Compression Quality: 75

Default Resampling Method: Nearest

Max Record Count: null

Max Image Height: 4100

Max Image Width: 15000

Max Download Image Count: null

Max Mosaic Image Count: null

Allow Raster Function: true

Allow Copy: true

Allow Analysis: true

Allow Compute TiePoints: false

Supports Statistics: false

Supports Advanced Queries: false

Use StandardizedQueries: true

Raster Type Infos: Has Raster Attribute Table: true

Edit Fields Info: null

Ownership Based AccessControl For Rasters: null

Child Resources:   Info   Raster Attribute Table   Histograms   Statistics   Key Properties   Color Map   Legend   Raster Function Infos

Supported Operations:   Export Image   Identify   Measure   Compute Histograms   Compute Statistics Histograms   Get Samples   Compute Class Statistics   Query Boundary   Compute Pixel Location   Compute Angles   Validate   Project