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Precipitation regimes primarily drive the carbon uptake in the Tibetan Plateau.

Authors :
He, Lei
Xie, Yaowen
Wang, Jian
Zhang, Juanjuan
Si, Menglin
Guo, Zecheng
Ma, Changhui
Bie, Qiang
Li, Zhao-Liang
Ye, Jian-Sheng
Source :
Ecological Indicators. Oct2023, Vol. 154, pN.PAG-N.PAG. 1p.
Publication Year :
2023

Abstract

• Precipitation-lagged ecosystems in the Tibetan Plateau are more sensitive to biotic and environmental factors than unlagged ecosystems. • The precipitation regimes, instead of temperature and VPD, primarily drive the GPP variabilities in the Tibetan Plateau at the grid scale. • Precipitation might have a stronger impact on carbon uptake via variations in intra-distribution under future warming scenarios. Warming and precipitation variations have significant impacts on carbon uptake in the Tibetan Plateau. However, which climatic variable or process primarily drives the inter-annual variations of carbon uptake is not clear. Using multiple gross primary productivity (GPP) estimates, we study the controlling factors of the previous-year lagged effect and evaluate the effects of climate variables on GPP in the Tibetan Plateau. Results show that the lagged ecosystems in which productivity is significantly associated with previous-year precipitation are more sensitive to biotic and environmental factors than unlagged ones. In addition, previous-year precipitation as a whole has a positive impact on GPP over the Tibetan Plateau. Furthermore, precipitation regimes including precipitation intensity and dry-days fraction, and current-year precipitation amount primarily drive the GPP variabilities instead of temperature, vapor pressure deficit (VPD), and radiation at the grid scale. Future projections suggest that precipitation amount and intensity will increase, and dry-days fraction will decrease, which indicates that precipitation might have a more complicated impact on carbon uptake via variations in intra-distribution. Our study reveals the primary climatic factors that influence the variations of carbon uptake in the Tibetan Plateau, offering valuable insights for accurate carbon cycle modeling. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
1470160X
Volume :
154
Database :
Academic Search Index
Journal :
Ecological Indicators
Publication Type :
Academic Journal
Accession number :
171955235
Full Text :
https://doi.org/10.1016/j.ecolind.2023.110694