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Vegetation response to precipitation anomalies under different climatic and biogeographical conditions in China
Understanding precipitation-vegetation interaction is of great importance to implementing adaptation and mitigation measures for terrestrial ecosystems. Many studies have explored the spatial pattern of precipitation-vegetation correlation along the precipitation amount gradient. While the impacts o...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6972909/ https://www.ncbi.nlm.nih.gov/pubmed/31965046 http://dx.doi.org/10.1038/s41598-020-57910-1 |
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author | Chen, Zefeng Wang, Weiguang Fu, Jianyu |
author_facet | Chen, Zefeng Wang, Weiguang Fu, Jianyu |
author_sort | Chen, Zefeng |
collection | PubMed |
description | Understanding precipitation-vegetation interaction is of great importance to implementing adaptation and mitigation measures for terrestrial ecosystems. Many studies have explored the spatial pattern of precipitation-vegetation correlation along the precipitation amount gradient. While the impacts of other precipitation characteristics remain poorly understood. Here, we provided a comprehensive investigation of spatiotemporal patterns of vegetation response to precipitation anomalies in China, using satellite-derived vegetation index and multi-source climate datasets for the years 1982–2015. Subsequently, we attempted to examine in detail what specific factors, climatic or biogeographic, are responsible for spatiotemporal patterns of precipitation-vegetation relationship. Results show that vegetation in Inner Mongolia Plateau is strongly affected by precipitation anomalies. Vegetation has a 1–2 month lag response to precipitation anomalies and is significantly correlated with 2–6 month cumulative precipitation anomalies. Seasonal differences of vegetation response are also remarkable. Moreover, the largest NDVI-precipitation correlation appears in areas with 150–500 mm of mean annual precipitation, 0.075–0.275 of fraction of precipitation days, and 19–23 of precipitation concentration index. More locally, the spatial distribution of NDVI-precipitation correlations is closely related to the vegetation type and elevation. The results can provide technical basis and beneficial reference to water resource and ecological management strategies in China for associated policymakers and stakeholders. |
format | Online Article Text |
id | pubmed-6972909 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-69729092020-01-27 Vegetation response to precipitation anomalies under different climatic and biogeographical conditions in China Chen, Zefeng Wang, Weiguang Fu, Jianyu Sci Rep Article Understanding precipitation-vegetation interaction is of great importance to implementing adaptation and mitigation measures for terrestrial ecosystems. Many studies have explored the spatial pattern of precipitation-vegetation correlation along the precipitation amount gradient. While the impacts of other precipitation characteristics remain poorly understood. Here, we provided a comprehensive investigation of spatiotemporal patterns of vegetation response to precipitation anomalies in China, using satellite-derived vegetation index and multi-source climate datasets for the years 1982–2015. Subsequently, we attempted to examine in detail what specific factors, climatic or biogeographic, are responsible for spatiotemporal patterns of precipitation-vegetation relationship. Results show that vegetation in Inner Mongolia Plateau is strongly affected by precipitation anomalies. Vegetation has a 1–2 month lag response to precipitation anomalies and is significantly correlated with 2–6 month cumulative precipitation anomalies. Seasonal differences of vegetation response are also remarkable. Moreover, the largest NDVI-precipitation correlation appears in areas with 150–500 mm of mean annual precipitation, 0.075–0.275 of fraction of precipitation days, and 19–23 of precipitation concentration index. More locally, the spatial distribution of NDVI-precipitation correlations is closely related to the vegetation type and elevation. The results can provide technical basis and beneficial reference to water resource and ecological management strategies in China for associated policymakers and stakeholders. Nature Publishing Group UK 2020-01-21 /pmc/articles/PMC6972909/ /pubmed/31965046 http://dx.doi.org/10.1038/s41598-020-57910-1 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/. |
spellingShingle | Article Chen, Zefeng Wang, Weiguang Fu, Jianyu Vegetation response to precipitation anomalies under different climatic and biogeographical conditions in China |
title | Vegetation response to precipitation anomalies under different climatic and biogeographical conditions in China |
title_full | Vegetation response to precipitation anomalies under different climatic and biogeographical conditions in China |
title_fullStr | Vegetation response to precipitation anomalies under different climatic and biogeographical conditions in China |
title_full_unstemmed | Vegetation response to precipitation anomalies under different climatic and biogeographical conditions in China |
title_short | Vegetation response to precipitation anomalies under different climatic and biogeographical conditions in China |
title_sort | vegetation response to precipitation anomalies under different climatic and biogeographical conditions in china |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6972909/ https://www.ncbi.nlm.nih.gov/pubmed/31965046 http://dx.doi.org/10.1038/s41598-020-57910-1 |
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