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A global record of annual terrestrial Human Footprint dataset from 2000 to 2018
Human Footprint, the pressure imposed on the eco-environment by changing ecological processes and natural landscapes, is raising worldwide concerns on biodiversity and ecological conservation. Due to the lack of spatiotemporally consistent datasets of Human Footprint over a long temporal span, many...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9018937/ https://www.ncbi.nlm.nih.gov/pubmed/35440581 http://dx.doi.org/10.1038/s41597-022-01284-8 |
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author | Mu, Haowei Li, Xuecao Wen, Yanan Huang, Jianxi Du, Peijun Su, Wei Miao, Shuangxi Geng, Mengqing |
author_facet | Mu, Haowei Li, Xuecao Wen, Yanan Huang, Jianxi Du, Peijun Su, Wei Miao, Shuangxi Geng, Mengqing |
author_sort | Mu, Haowei |
collection | PubMed |
description | Human Footprint, the pressure imposed on the eco-environment by changing ecological processes and natural landscapes, is raising worldwide concerns on biodiversity and ecological conservation. Due to the lack of spatiotemporally consistent datasets of Human Footprint over a long temporal span, many relevant studies on this topic have been limited. Here, we mapped the annual dynamics of the global Human Footprint from 2000 to 2018 using eight variables that reflect different aspects of human pressures. The accuracy assessment revealed a good agreement between our mapped results and the previously developed datasets in different years. We found more than two million km(2) of wilderness (i.e., regions with Human Footprint values below one) were lost over the past two decades. The biome dominated by mangroves experienced the most significant loss (i.e., above 5%) of wilderness, likely attributed to intensified human activities in coastal areas. The derived annual and spatiotemporally consistent global Human Footprint can be a fundamental dataset for many relevant studies about human activities and natural resources. |
format | Online Article Text |
id | pubmed-9018937 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-90189372022-04-28 A global record of annual terrestrial Human Footprint dataset from 2000 to 2018 Mu, Haowei Li, Xuecao Wen, Yanan Huang, Jianxi Du, Peijun Su, Wei Miao, Shuangxi Geng, Mengqing Sci Data Data Descriptor Human Footprint, the pressure imposed on the eco-environment by changing ecological processes and natural landscapes, is raising worldwide concerns on biodiversity and ecological conservation. Due to the lack of spatiotemporally consistent datasets of Human Footprint over a long temporal span, many relevant studies on this topic have been limited. Here, we mapped the annual dynamics of the global Human Footprint from 2000 to 2018 using eight variables that reflect different aspects of human pressures. The accuracy assessment revealed a good agreement between our mapped results and the previously developed datasets in different years. We found more than two million km(2) of wilderness (i.e., regions with Human Footprint values below one) were lost over the past two decades. The biome dominated by mangroves experienced the most significant loss (i.e., above 5%) of wilderness, likely attributed to intensified human activities in coastal areas. The derived annual and spatiotemporally consistent global Human Footprint can be a fundamental dataset for many relevant studies about human activities and natural resources. Nature Publishing Group UK 2022-04-19 /pmc/articles/PMC9018937/ /pubmed/35440581 http://dx.doi.org/10.1038/s41597-022-01284-8 Text en © The Author(s) 2022 https://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/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Data Descriptor Mu, Haowei Li, Xuecao Wen, Yanan Huang, Jianxi Du, Peijun Su, Wei Miao, Shuangxi Geng, Mengqing A global record of annual terrestrial Human Footprint dataset from 2000 to 2018 |
title | A global record of annual terrestrial Human Footprint dataset from 2000 to 2018 |
title_full | A global record of annual terrestrial Human Footprint dataset from 2000 to 2018 |
title_fullStr | A global record of annual terrestrial Human Footprint dataset from 2000 to 2018 |
title_full_unstemmed | A global record of annual terrestrial Human Footprint dataset from 2000 to 2018 |
title_short | A global record of annual terrestrial Human Footprint dataset from 2000 to 2018 |
title_sort | global record of annual terrestrial human footprint dataset from 2000 to 2018 |
topic | Data Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9018937/ https://www.ncbi.nlm.nih.gov/pubmed/35440581 http://dx.doi.org/10.1038/s41597-022-01284-8 |
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