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A dataset mapping the potential biophysical effects of vegetation cover change
Changing the vegetation cover of the Earth has impacts on the biophysical properties of the surface and ultimately on the local climate. Depending on the specific type of vegetation change and on the background climate, the resulting competing biophysical processes can have a net warming or cooling...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5819485/ https://www.ncbi.nlm.nih.gov/pubmed/29461538 http://dx.doi.org/10.1038/sdata.2018.14 |
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author | Duveiller, Gregory Hooker, Josh Cescatti, Alessandro |
author_facet | Duveiller, Gregory Hooker, Josh Cescatti, Alessandro |
author_sort | Duveiller, Gregory |
collection | PubMed |
description | Changing the vegetation cover of the Earth has impacts on the biophysical properties of the surface and ultimately on the local climate. Depending on the specific type of vegetation change and on the background climate, the resulting competing biophysical processes can have a net warming or cooling effect, which can further vary both spatially and seasonally. Due to uncertain climate impacts and the lack of robust observations, biophysical effects are not yet considered in land-based climate policies. Here we present a dataset based on satellite remote sensing observations that provides the potential changes i) of the full surface energy balance, ii) at global scale, and iii) for multiple vegetation transitions, as would now be required for the comprehensive evaluation of land based mitigation plans. We anticipate that this dataset will provide valuable information to benchmark Earth system models, to assess future scenarios of land cover change and to develop the monitoring, reporting and verification guidelines required for the implementation of mitigation plans that account for biophysical land processes. |
format | Online Article Text |
id | pubmed-5819485 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-58194852018-03-05 A dataset mapping the potential biophysical effects of vegetation cover change Duveiller, Gregory Hooker, Josh Cescatti, Alessandro Sci Data Data Descriptor Changing the vegetation cover of the Earth has impacts on the biophysical properties of the surface and ultimately on the local climate. Depending on the specific type of vegetation change and on the background climate, the resulting competing biophysical processes can have a net warming or cooling effect, which can further vary both spatially and seasonally. Due to uncertain climate impacts and the lack of robust observations, biophysical effects are not yet considered in land-based climate policies. Here we present a dataset based on satellite remote sensing observations that provides the potential changes i) of the full surface energy balance, ii) at global scale, and iii) for multiple vegetation transitions, as would now be required for the comprehensive evaluation of land based mitigation plans. We anticipate that this dataset will provide valuable information to benchmark Earth system models, to assess future scenarios of land cover change and to develop the monitoring, reporting and verification guidelines required for the implementation of mitigation plans that account for biophysical land processes. Nature Publishing Group 2018-02-20 /pmc/articles/PMC5819485/ /pubmed/29461538 http://dx.doi.org/10.1038/sdata.2018.14 Text en Copyright © 2018, The Author(s) http://creativecommons.org/licenses/by/4.0/ Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ The Creative Commons Public Domain Dedication waiver http://creativecommons.org/publicdomain/zero/1.0/ applies to the metadata files made available in this article. |
spellingShingle | Data Descriptor Duveiller, Gregory Hooker, Josh Cescatti, Alessandro A dataset mapping the potential biophysical effects of vegetation cover change |
title | A dataset mapping the potential biophysical effects of vegetation cover change |
title_full | A dataset mapping the potential biophysical effects of vegetation cover change |
title_fullStr | A dataset mapping the potential biophysical effects of vegetation cover change |
title_full_unstemmed | A dataset mapping the potential biophysical effects of vegetation cover change |
title_short | A dataset mapping the potential biophysical effects of vegetation cover change |
title_sort | dataset mapping the potential biophysical effects of vegetation cover change |
topic | Data Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5819485/ https://www.ncbi.nlm.nih.gov/pubmed/29461538 http://dx.doi.org/10.1038/sdata.2018.14 |
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