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Benchmark maps of 33 years of secondary forest age for Brazil
The restoration and reforestation of 12 million hectares of forests by 2030 are amongst the leading mitigation strategies for reducing carbon emissions within the Brazilian Nationally Determined Contribution targets assumed under the Paris Agreement. Understanding the dynamics of forest cover, which...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Nature Publishing Group UK
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7427968/ https://www.ncbi.nlm.nih.gov/pubmed/32796858 http://dx.doi.org/10.1038/s41597-020-00600-4 |
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author | Silva Junior, Celso H. L. Heinrich, Viola H. A. Freire, Ana T. G. Broggio, Igor S. Rosan, Thais M. Doblas, Juan Anderson, Liana O. Rousseau, Guillaume X. Shimabukuro, Yosio E. Silva, Carlos A. House, Joanna I. Aragão, Luiz E. O. C. |
author_facet | Silva Junior, Celso H. L. Heinrich, Viola H. A. Freire, Ana T. G. Broggio, Igor S. Rosan, Thais M. Doblas, Juan Anderson, Liana O. Rousseau, Guillaume X. Shimabukuro, Yosio E. Silva, Carlos A. House, Joanna I. Aragão, Luiz E. O. C. |
author_sort | Silva Junior, Celso H. L. |
collection | PubMed |
description | The restoration and reforestation of 12 million hectares of forests by 2030 are amongst the leading mitigation strategies for reducing carbon emissions within the Brazilian Nationally Determined Contribution targets assumed under the Paris Agreement. Understanding the dynamics of forest cover, which steeply decreased between 1985 and 2018 throughout Brazil, is essential for estimating the global carbon balance and quantifying the provision of ecosystem services. To know the long-term increment, extent, and age of secondary forests is crucial; however, these variables are yet poorly quantified. Here we developed a 30-m spatial resolution dataset of the annual increment, extent, and age of secondary forests for Brazil over the 1986–2018 period. Land-use and land-cover maps from MapBiomas Project (Collection 4.1) were used as input data for our algorithm, implemented in the Google Earth Engine platform. This dataset provides critical spatially explicit information for supporting carbon emissions reduction, biodiversity, and restoration policies, enabling environmental science applications, territorial planning, and subsidizing environmental law enforcement. |
format | Online Article Text |
id | pubmed-7427968 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-74279682020-08-27 Benchmark maps of 33 years of secondary forest age for Brazil Silva Junior, Celso H. L. Heinrich, Viola H. A. Freire, Ana T. G. Broggio, Igor S. Rosan, Thais M. Doblas, Juan Anderson, Liana O. Rousseau, Guillaume X. Shimabukuro, Yosio E. Silva, Carlos A. House, Joanna I. Aragão, Luiz E. O. C. Sci Data Data Descriptor The restoration and reforestation of 12 million hectares of forests by 2030 are amongst the leading mitigation strategies for reducing carbon emissions within the Brazilian Nationally Determined Contribution targets assumed under the Paris Agreement. Understanding the dynamics of forest cover, which steeply decreased between 1985 and 2018 throughout Brazil, is essential for estimating the global carbon balance and quantifying the provision of ecosystem services. To know the long-term increment, extent, and age of secondary forests is crucial; however, these variables are yet poorly quantified. Here we developed a 30-m spatial resolution dataset of the annual increment, extent, and age of secondary forests for Brazil over the 1986–2018 period. Land-use and land-cover maps from MapBiomas Project (Collection 4.1) were used as input data for our algorithm, implemented in the Google Earth Engine platform. This dataset provides critical spatially explicit information for supporting carbon emissions reduction, biodiversity, and restoration policies, enabling environmental science applications, territorial planning, and subsidizing environmental law enforcement. Nature Publishing Group UK 2020-08-14 /pmc/articles/PMC7427968/ /pubmed/32796858 http://dx.doi.org/10.1038/s41597-020-00600-4 Text en © The Author(s) 2020 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 associated with this article. |
spellingShingle | Data Descriptor Silva Junior, Celso H. L. Heinrich, Viola H. A. Freire, Ana T. G. Broggio, Igor S. Rosan, Thais M. Doblas, Juan Anderson, Liana O. Rousseau, Guillaume X. Shimabukuro, Yosio E. Silva, Carlos A. House, Joanna I. Aragão, Luiz E. O. C. Benchmark maps of 33 years of secondary forest age for Brazil |
title | Benchmark maps of 33 years of secondary forest age for Brazil |
title_full | Benchmark maps of 33 years of secondary forest age for Brazil |
title_fullStr | Benchmark maps of 33 years of secondary forest age for Brazil |
title_full_unstemmed | Benchmark maps of 33 years of secondary forest age for Brazil |
title_short | Benchmark maps of 33 years of secondary forest age for Brazil |
title_sort | benchmark maps of 33 years of secondary forest age for brazil |
topic | Data Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7427968/ https://www.ncbi.nlm.nih.gov/pubmed/32796858 http://dx.doi.org/10.1038/s41597-020-00600-4 |
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