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Global/Reforestation_Potential (MapServer)

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Service Description: Data on forest condition and current land use were used to derive the map of opportunities for restoration on degraded lands. The land-use data sets include population density, urbanized or industrial areas, and cropland distribution. Areas with high population density or those occupied by intensively managed croplands were considered as having no or low forest restoration potential. Areas with scattered cropland areas, pastures, agroforestry and all types of forest plantations were considered as providing promising opportunities for restoration. Deforested and degraded forest lands were divided into four categories, resulting in a map of restoration opportunity areas and other former forest lands: - Wide-scale restoration: Less than 10 people per square kilometer and potential to support closed forest. - Mosaic restoration: Moderate human pressure (between 10 and 100 people per square km). - Remote restoration: Very low human pressure (density of less than one person per square km within a 500-km radius). Simbology imported from the Global map of forest landscape restoration opportunities. World Resources Institute: Washington, DC. Online at www.wri.org/forest-restoration-atlas. Credits: Bronson W. Griscom, Justin Adams, Peter W. Ellis, Richard A. Houghton, Guy Lomax, Daniela A. Miteva, William H. Schlesinger, David Shoch, Juha V. Siikamäki, Pete Smith, Peter Woodbury, Chris Zganjar, Allen Blackman, João Campari, Richard T. Conant, Christopher Delgado, Patricia Elias, Trisha Gopalakrishna, Marisa R. Hamsik, Mario Herrero, Joseph Kiesecker, Emily Landis, Lars Laestadius, Sara M. Leavitt, Susan Minnemeyer, Stephen Polasky, Peter Potapov, Francis E. Putz, Jonathan Sanderman, Marcel Silvius, Eva Wollenberg, Joe Fargione. (2017). Global Reforestation Potential Map Data deposition: A global spatial dataset of reforestation opportunities has been deposited on Zenodo (https://zenodo.org/record/883444).

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Layers: Description: Data on forest condition and current land use were used to derive the map of opportunities for restoration on degraded lands. The land-use data sets include population density, urbanized or industrial areas, and cropland distribution. Areas with high population density or those occupied by intensively managed croplands were considered as having no or low forest restoration potential. Areas with scattered cropland areas, pastures, agroforestry and all types of forest plantations were considered as providing promising opportunities for restoration. Deforested and degraded forest lands were divided into four categories, resulting in a map of restoration opportunity areas and other former forest lands: - Wide-scale restoration: Less than 10 people per square kilometer and potential to support closed forest. - Mosaic restoration: Moderate human pressure (between 10 and 100 people per square km). - Remote restoration: Very low human pressure (density of less than one person per square km within a 500-km radius). Simbology imported from the Global map of forest landscape restoration opportunities. World Resources Institute: Washington, DC. Online at www.wri.org/forest-restoration-atlas. Credits: Bronson W. Griscom, Justin Adams, Peter W. Ellis, Richard A. Houghton, Guy Lomax, Daniela A. Miteva, William H. Schlesinger, David Shoch, Juha V. Siikamäki, Pete Smith, Peter Woodbury, Chris Zganjar, Allen Blackman, João Campari, Richard T. Conant, Christopher Delgado, Patricia Elias, Trisha Gopalakrishna, Marisa R. Hamsik, Mario Herrero, Joseph Kiesecker, Emily Landis, Lars Laestadius, Sara M. Leavitt, Susan Minnemeyer, Stephen Polasky, Peter Potapov, Francis E. Putz, Jonathan Sanderman, Marcel Silvius, Eva Wollenberg, Joe Fargione. (2017). Global Reforestation Potential Map Data deposition: A global spatial dataset of reforestation opportunities has been deposited on Zenodo (https://zenodo.org/record/883444).

Service Item Id: d18c8423a0114d62885395c714cbed79

Copyright Text: Global Reforestation Potential Map (2017)

Spatial Reference: 102100  (3857)  LatestVCSWkid(0)


Single Fused Map Cache: false

Initial Extent: Full Extent: Units: esriMeters

Supported Image Format Types: PNG32,PNG24,PNG,JPG,DIB,TIFF,EMF,PS,PDF,GIF,SVG,SVGZ,BMP

Document Info: Supports Dynamic Layers: true

MaxRecordCount: 99999

MaxSelectionCount: 2000

MaxImageHeight: 4096

MaxImageWidth: 4096

Supported Query Formats: JSON, geoJSON, PBF

Supports Query Data Elements: true

Min Scale: 0

Max Scale: 0

Supports Datum Transformation: true



Child Resources:   Info   Dynamic Layer

Supported Operations:   Export Map   Identify   QueryLegends   QueryDomains   Find   Return Updates