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Spatial dataset on future forest cover changes in Southeast Asia projected under the shared socioeconomic pathways

The five shared socioeconomic pathways (SSPs) provide future projections for various social-ecological variables, including forest cover. However, these projections are limited to quantities and lack a spatial dimension. This dataset is the result of an effort to spatialize the projected forest cove...

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Autor principal: Estoque, Ronald C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10641122/
https://www.ncbi.nlm.nih.gov/pubmed/37965620
http://dx.doi.org/10.1016/j.dib.2023.109705
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author Estoque, Ronald C.
author_facet Estoque, Ronald C.
author_sort Estoque, Ronald C.
collection PubMed
description The five shared socioeconomic pathways (SSPs) provide future projections for various social-ecological variables, including forest cover. However, these projections are limited to quantities and lack a spatial dimension. This dataset is the result of an effort to spatialize the projected forest cover changes (losses and gains) (2015-2050) in Southeast Asia under the five baseline SSPs. The dataset is available in GIS raster format (.tif) at a spatial resolution of 300 m. A wide range of users can benefit from this dataset, as it can be used independently or in conjunction with other datasets. Specifically, it can be employed to assess potential future social-ecological impacts, both positive and negative, in Southeast Asia resulting from changes in forest cover. The dataset supports analysis at the national, sub-national, or landscape levels.
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spelling pubmed-106411222023-11-14 Spatial dataset on future forest cover changes in Southeast Asia projected under the shared socioeconomic pathways Estoque, Ronald C. Data Brief Data Article The five shared socioeconomic pathways (SSPs) provide future projections for various social-ecological variables, including forest cover. However, these projections are limited to quantities and lack a spatial dimension. This dataset is the result of an effort to spatialize the projected forest cover changes (losses and gains) (2015-2050) in Southeast Asia under the five baseline SSPs. The dataset is available in GIS raster format (.tif) at a spatial resolution of 300 m. A wide range of users can benefit from this dataset, as it can be used independently or in conjunction with other datasets. Specifically, it can be employed to assess potential future social-ecological impacts, both positive and negative, in Southeast Asia resulting from changes in forest cover. The dataset supports analysis at the national, sub-national, or landscape levels. Elsevier 2023-10-20 /pmc/articles/PMC10641122/ /pubmed/37965620 http://dx.doi.org/10.1016/j.dib.2023.109705 Text en © 2023 The Author(s) https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Data Article
Estoque, Ronald C.
Spatial dataset on future forest cover changes in Southeast Asia projected under the shared socioeconomic pathways
title Spatial dataset on future forest cover changes in Southeast Asia projected under the shared socioeconomic pathways
title_full Spatial dataset on future forest cover changes in Southeast Asia projected under the shared socioeconomic pathways
title_fullStr Spatial dataset on future forest cover changes in Southeast Asia projected under the shared socioeconomic pathways
title_full_unstemmed Spatial dataset on future forest cover changes in Southeast Asia projected under the shared socioeconomic pathways
title_short Spatial dataset on future forest cover changes in Southeast Asia projected under the shared socioeconomic pathways
title_sort spatial dataset on future forest cover changes in southeast asia projected under the shared socioeconomic pathways
topic Data Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10641122/
https://www.ncbi.nlm.nih.gov/pubmed/37965620
http://dx.doi.org/10.1016/j.dib.2023.109705
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