View In:
ArcGIS JavaScript
ArcGIS Online Map Viewer
ArcGIS Earth
ArcMap
View Footprint In:
ArcGIS Online Map Viewer
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:
XMin: 2675104.3605246544
YMin: 1469086.2156555885
XMax: 7588324.846106282
YMax: 5900618.418337057
Spatial Reference: 3035
(3035)
Initial Extent:
XMin: 2675104.3605246544
YMin: 1469086.2156555885
XMax: 7588324.846106282
YMax: 5900618.418337057
Spatial Reference: 3035
(3035)
Full Extent:
XMin: 2675104.3605246544
YMin: 1469086.2156555885
XMax: 7588324.846106282
YMax: 5900618.418337057
Spatial Reference: 3035
(3035)
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:
Name: Raster Dataset
Description: Supports all ArcGIS Raster Datasets
Help:
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