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

Authors :
Liu, Yiwen
Shen, Xiangjin
Zhang, Jiaqi
Wang, Yanji
Wu, Liyuan
Ma, Rong
Lu, Xianguo
Jiang, Ming
Source :
Ecology & Evolution (20457758). Jan2023, Vol. 13 Issue 1, p1-13. 13p.
Publication Year :
2023

Abstract

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. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
20457758
Volume :
13
Issue :
1
Database :
Academic Search Index
Journal :
Ecology & Evolution (20457758)
Publication Type :
Academic Journal
Accession number :
161587446
Full Text :
https://doi.org/10.1002/ece3.9755