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Divergent shifts in peak photosynthesis timing of temperate and alpine grasslands in China.

Authors :
Yang, Jilin
Dong, Jinwei
Xiao, Xiangming
Dai, Junhu
Wu, Chaoyang
Xia, Jianyang
Zhao, Guosong
Zhao, Miaomiao
Li, Zhaolei
Zhang, Yao
Ge, Quansheng
Source :
Remote Sensing of Environment. Nov2019, Vol. 233, pN.PAG-N.PAG. 1p.
Publication Year :
2019

Abstract

The changing climate is shifting the seasonality of photosynthesis in vegetation, including the start (SOS), end (EOS), and length (LOS) of the growing season, and the peak photosynthesis timing (PPT). While the SOS, EOS, and LOS have been widely investigated, the PPT of grasslands – as a proxy for the response of seasonal plant photosynthesis to climate change – has been overlooked. In this study, we propose a hybrid generalized additive model (HGAM) method to extract PPT using the Vegetation Photosynthesis Model (VPM)-based gross primary production (GPP) product, and we examine the dynamics, drivers, and consequences of PPT changes in temperate and alpine grasslands in China over 2000–2016. We found that the PPTs in temperate and alpine grasslands have exhibited advancing (with −0.68 days yr−1, p < 0.05) and delaying (with 0.29 days yr−1, p = 0.158) trends, respectively. In addition, preseason precipitation and soil moisture were positively correlated with the PPT in temperate and alpine grasslands, respectively, while the preseason temperature consistently controlled the PPT changes in both grasslands. Furthermore, we found that an earlier PPT was associated with higher annual production in the temperate grasslands but not in the alpine grasslands in China. The divergent PPT patterns indicated the varied adaptation characteristics to climatic constraints in the temperate and alpine grasslands and also caused different consequences on carbon uptake. This study highlights the importance of PPT in understanding the spatiotemporal dynamics of vegetation photosynthesis and the carbon cycle under a changing climate. • Identification of peak photosynthesis timing (PPT) by a hybrid generalized additive model (HGAM). • Divergent PPT trends exist between temperate and alpine grasslands in China. • Different climatic factors affect the PPTs in temperate and alpine grasslands. • The correlation between an earlier peak and higher production exists only in temperate grasslands. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00344257
Volume :
233
Database :
Academic Search Index
Journal :
Remote Sensing of Environment
Publication Type :
Academic Journal
Accession number :
139434060
Full Text :
https://doi.org/10.1016/j.rse.2019.111395