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Encore/EU_COM_TER_DEP_HS (ImageServer)

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Service Description: THIS LAYER HAS BEEN PRODUCED FOR QA ONLY. 

Hotspots of stock depletion for each of the four natural capital assets (atmosphere, water, soil and sediments, biodiversitywere identified by extracting the 20% of grid cells with the highest depletion values from each individual asset layer. The combined map of terrestrial depletion was created by overlaying the four natural capital asset hotspot layers, and summing for each grid cell how many asset hotspots are present, to obtain a value between 0 (the area was not a hotspot of depletion for any asset) to four (the area was a hotspot of depletion for all four assets). 


Name: Encore/EU_COM_TER_DEP_HS

Description:

Hotspots of stock depletion for each of the four natural capital assets (atmosphere, water, soil and sediments, biodiversity) were identified by extracting the 20% of grid cells with the highest depletion values from each individual asset layer. The combined map of terrestrial depletion was created by overlaying the four natural capital asset hotspot layers, and summing for each grid cell how many asset hotspots are present, to obtain a value between 0 (the area was not a hotspot of depletion for any asset) to four (the area was a hotspot of depletion for all four assets).

The overlap of hotspots highlights areas where multiple natural capital assets are simultaneously under pressure, with high depletion in recent years (or in the case of biodiversity relative to an intact natural habitat baseline). Such overlaps are to be expected, as many drivers of depletion, such as land‑use change, industrial and urban emissions and climate stress tend to affect several assets at once. These overlapping hotspots may signal higher potential risk or priority for intervention, as well as opportunities for restoration, protection and policy targeting. These overlapping hotspots reflect where specific natural capital assets show recent elevated pressure or degraded condition relative to other areas covered in the available datasets. They do not imply that these countries are less ecologically intact overall.

When interpreting the significance of these results, the relevance of a hotspot to a company, regulator or policy maker will depend on several factors, including: the type of the economic dependency considered, the ecological context and local impacts.

Download the guidance documentation here for more information on the methodology, intended use cases and limitations.



Single Fused Map Cache: false

Extent: Initial Extent: Full Extent: Pixel Size X: 1000.0

Pixel Size Y: 1000.0

Band Count: 1

Pixel Type: F32

RasterFunction Infos: {"rasterFunctionInfos": [ { "name": "Terr Hotspots", "description": "Combined terrestrial Hotspots", "help": "" }, { "name": "None", "description": "", "help": "" } ]}

Mensuration Capabilities: Basic

Has Histograms: true

Has Colormap: false

Has Multi Dimensions : false

Rendering Rule:

Min Scale: 0

Max Scale: 0

Copyright Text: UNEP-WCMC (2025). European combined hotspots of natural capital depletion in terrestrial environments. Cambridge (UK): UNEP-WCMC

Service Data Type: esriImageServiceDataTypeGeneric

Min Values: 0

Max Values: 4

Mean Values: 0.60955823641686

Standard Deviation Values: 0.74332231173591

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: false

Edit Fields Info: null

Ownership Based AccessControl For Rasters: null

Child Resources:   Info   Histograms   Statistics   Key Properties   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