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Spatiotemporal variation in vegetation phenology and its response to climate change in marshes of Sanjiang Plain, China

Sanjiang Plain is the largest marsh distribution area of China, and marshes in this region significantly affect regional carbon cycle and biodiversity protection. The vegetation phenology of marsh significantly affects the energy exchange and carbon cycle in that region. Under the influence of globa...

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Detalles Bibliográficos
Autores principales: Liu, Yiwen, Shen, Xiangjin, Zhang, Jiaqi, Wang, Yanji, Wu, Liyuan, Ma, Rong, Lu, Xianguo, Jiang, Ming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9848817/
https://www.ncbi.nlm.nih.gov/pubmed/36699565
http://dx.doi.org/10.1002/ece3.9755
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author Liu, Yiwen
Shen, Xiangjin
Zhang, Jiaqi
Wang, Yanji
Wu, Liyuan
Ma, Rong
Lu, Xianguo
Jiang, Ming
author_facet Liu, Yiwen
Shen, Xiangjin
Zhang, Jiaqi
Wang, Yanji
Wu, Liyuan
Ma, Rong
Lu, Xianguo
Jiang, Ming
author_sort Liu, Yiwen
collection PubMed
description Sanjiang Plain is the largest marsh distribution area of China, and marshes in this region significantly affect regional carbon cycle and biodiversity protection. The vegetation phenology of marsh significantly affects the energy exchange and carbon cycle in that region. Under the influence of global climatic change, identifying the changes in phenology and their responses to climatic variation in marshes of Sanjiang Plain is essential for predicting the carbon stocks of marsh ecosystem in that region. Using climate and NDVI data, this paper analyzed the spatiotemporal variations in the start (SOS), end (EOS), and length (LOS) of vegetation growing season and explored the impacts of climatic variation on vegetation phenology in marshes of Sanjiang Plain. Results showed that the SOS advanced by 0.30 days/a, and EOS delayed by 0.23 days/a, causing LOS to increase significantly (p < .05) by 0.53 days/a over marshes of Sanjiang Plain. Spatially, the large SOS advance and EOS delay resulted in an obvious increasing trend for LOS in northern Sanjiang Plain. The rise of spring and winter temperatures advanced the SOS and increased the LOS, and the rise in temperature in autumn delayed the EOS in marshes of Sanjiang Plain. Our findings highlight the necessity of considering seasonal climatic conditions in simulating marsh vegetation phenology and indicate that the different influences of climatic variation on marsh vegetation phenology in different regions should be fully considered to assess the marsh ecosystem response to climatic change in Sanjiang Plain.
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spelling pubmed-98488172023-01-24 Spatiotemporal variation in vegetation phenology and its response to climate change in marshes of Sanjiang Plain, China Liu, Yiwen Shen, Xiangjin Zhang, Jiaqi Wang, Yanji Wu, Liyuan Ma, Rong Lu, Xianguo Jiang, Ming Ecol Evol Research Articles Sanjiang Plain is the largest marsh distribution area of China, and marshes in this region significantly affect regional carbon cycle and biodiversity protection. The vegetation phenology of marsh significantly affects the energy exchange and carbon cycle in that region. Under the influence of global climatic change, identifying the changes in phenology and their responses to climatic variation in marshes of Sanjiang Plain is essential for predicting the carbon stocks of marsh ecosystem in that region. Using climate and NDVI data, this paper analyzed the spatiotemporal variations in the start (SOS), end (EOS), and length (LOS) of vegetation growing season and explored the impacts of climatic variation on vegetation phenology in marshes of Sanjiang Plain. Results showed that the SOS advanced by 0.30 days/a, and EOS delayed by 0.23 days/a, causing LOS to increase significantly (p < .05) by 0.53 days/a over marshes of Sanjiang Plain. Spatially, the large SOS advance and EOS delay resulted in an obvious increasing trend for LOS in northern Sanjiang Plain. The rise of spring and winter temperatures advanced the SOS and increased the LOS, and the rise in temperature in autumn delayed the EOS in marshes of Sanjiang Plain. Our findings highlight the necessity of considering seasonal climatic conditions in simulating marsh vegetation phenology and indicate that the different influences of climatic variation on marsh vegetation phenology in different regions should be fully considered to assess the marsh ecosystem response to climatic change in Sanjiang Plain. John Wiley and Sons Inc. 2023-01-18 /pmc/articles/PMC9848817/ /pubmed/36699565 http://dx.doi.org/10.1002/ece3.9755 Text en © 2023 The Authors. Ecology and Evolution published by John Wiley & Sons Ltd. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Articles
Liu, Yiwen
Shen, Xiangjin
Zhang, Jiaqi
Wang, Yanji
Wu, Liyuan
Ma, Rong
Lu, Xianguo
Jiang, Ming
Spatiotemporal variation in vegetation phenology and its response to climate change in marshes of Sanjiang Plain, China
title Spatiotemporal variation in vegetation phenology and its response to climate change in marshes of Sanjiang Plain, China
title_full Spatiotemporal variation in vegetation phenology and its response to climate change in marshes of Sanjiang Plain, China
title_fullStr Spatiotemporal variation in vegetation phenology and its response to climate change in marshes of Sanjiang Plain, China
title_full_unstemmed Spatiotemporal variation in vegetation phenology and its response to climate change in marshes of Sanjiang Plain, China
title_short Spatiotemporal variation in vegetation phenology and its response to climate change in marshes of Sanjiang Plain, China
title_sort spatiotemporal variation in vegetation phenology and its response to climate change in marshes of sanjiang plain, china
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9848817/
https://www.ncbi.nlm.nih.gov/pubmed/36699565
http://dx.doi.org/10.1002/ece3.9755
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