Cargando…

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....

Descripción completa

Detalles Bibliográficos
Autores principales: Smith, Taylor, Boers, Niklas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
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
_version_ 1785131614789959680
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