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Reliability of vegetation resilience estimates depends on biomass density
Concerns have been raised that the resilience of vegetated ecosystems may be negatively impacted by ongoing anthropogenic climate and land-use change at the global scale. Several recent studies present global vegetation resilience trends based on satellite data using diverse methodological set-ups....
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10627832/ https://www.ncbi.nlm.nih.gov/pubmed/37710044 http://dx.doi.org/10.1038/s41559-023-02194-7 |
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author | Smith, Taylor Boers, Niklas |
author_facet | Smith, Taylor Boers, Niklas |
author_sort | Smith, Taylor |
collection | PubMed |
description | Concerns have been raised that the resilience of vegetated ecosystems may be negatively impacted by ongoing anthropogenic climate and land-use change at the global scale. Several recent studies present global vegetation resilience trends based on satellite data using diverse methodological set-ups. Here, upon a systematic comparison of data sets, spatial and temporal pre-processing, and resilience estimation methods, we propose a methodology that avoids different biases present in previous results. Nevertheless, we find that resilience estimation using optical satellite vegetation data is broadly problematic in dense tropical and high-latitude boreal forests, regardless of the vegetation index chosen. However, for wide parts of the mid-latitudes—especially with low biomass density—resilience can be reliably estimated using several optical vegetation indices. We infer a spatially consistent global pattern of resilience gain and loss across vegetation indices, with more regions facing declining resilience, especially in Africa, Australia and central Asia. |
format | Online Article Text |
id | pubmed-10627832 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-106278322023-11-08 Reliability of vegetation resilience estimates depends on biomass density Smith, Taylor Boers, Niklas Nat Ecol Evol Article Concerns have been raised that the resilience of vegetated ecosystems may be negatively impacted by ongoing anthropogenic climate and land-use change at the global scale. Several recent studies present global vegetation resilience trends based on satellite data using diverse methodological set-ups. Here, upon a systematic comparison of data sets, spatial and temporal pre-processing, and resilience estimation methods, we propose a methodology that avoids different biases present in previous results. Nevertheless, we find that resilience estimation using optical satellite vegetation data is broadly problematic in dense tropical and high-latitude boreal forests, regardless of the vegetation index chosen. However, for wide parts of the mid-latitudes—especially with low biomass density—resilience can be reliably estimated using several optical vegetation indices. We infer a spatially consistent global pattern of resilience gain and loss across vegetation indices, with more regions facing declining resilience, especially in Africa, Australia and central Asia. Nature Publishing Group UK 2023-09-14 2023 /pmc/articles/PMC10627832/ /pubmed/37710044 http://dx.doi.org/10.1038/s41559-023-02194-7 Text en © The Author(s) 2023 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 | Article Smith, Taylor Boers, Niklas Reliability of vegetation resilience estimates depends on biomass density |
title | Reliability of vegetation resilience estimates depends on biomass density |
title_full | Reliability of vegetation resilience estimates depends on biomass density |
title_fullStr | Reliability of vegetation resilience estimates depends on biomass density |
title_full_unstemmed | Reliability of vegetation resilience estimates depends on biomass density |
title_short | Reliability of vegetation resilience estimates depends on biomass density |
title_sort | reliability of vegetation resilience estimates depends on biomass density |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10627832/ https://www.ncbi.nlm.nih.gov/pubmed/37710044 http://dx.doi.org/10.1038/s41559-023-02194-7 |
work_keys_str_mv | AT smithtaylor reliabilityofvegetationresilienceestimatesdependsonbiomassdensity AT boersniklas reliabilityofvegetationresilienceestimatesdependsonbiomassdensity |