Reductions in Forest Resilience: Unraveling the Decoupling Between Gross Primary Productivity and Photosynthetic Efficiency

Abstract Ecosystem‐scale photosynthetic efficiency (EPE) is proposed as an effective indicator to quantify gross primary productivity (GPP), but how the coupling between EPE and GPP varies as vegetation resilience decreases has not been evaluated. Here, we quantified forest resilience with optimized Bayesian models. With the use of multisource satellite and modeling data, our study revealed that forests on the Loess Plateau and in the Qinba Mountains in China are experiencing rapid resilience loss and are already facing mortality warnings after 2010. Reductions in resilience also drove the marked decoupling of GPP from EPE. Notably, the decline in resilience was accompanied by a decrease in EPE in about 74% of the forests while GPP increased. The mechanism underlying this decoupling could be attributed to enhanced atmospheric water demand and soil water constraints. The dynamic relationships found here could help to improve forest mortality models and enhance photosynthesis‐based GPP evaluation.

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Publication Details

Journal
Geophysical Research Letters
Published
2024-08-15
DOI
https://doi.org/10.1029/2024gl110148
Citations
5
Primary Topic
Ecosystem dynamics and resilience
Type
article
Field-Weighted Citation Impact
1.41

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article

Reductions in Forest Resilience: Unraveling the Decoupling Between Gross Primary Productivity and Photosynthetic Efficiency

Xiaomin Zeng, Xiaohong Liu, Xiuchen Wu, Jingfeng Xiao et al.
5 citations
Geophysical Research Letters
Ecosystem dynamics and resilience
1.41
article

Reductions in Forest Resilience: Unraveling the Decoupling Between Gross Primary Productivity and Photosynthetic Efficiency

Xiaomin Zeng, Xiaohong Liu, Xiuchen Wu, Jingfeng Xiao, Lixin Wang, Xing Li, Yu Zhang, Jianwu Yan, Liangju Zhao, Yixue Hong, Zhaohui Luo
article en
5 citations

Abstract

Abstract Ecosystem‐scale photosynthetic efficiency (EPE) is proposed as an effective indicator to quantify gross primary productivity (GPP), but how the coupling between EPE and GPP varies as vegetation resilience decreases has not been evaluated. Here, we quantified forest resilience with optimized Bayesian models. With the use of multisource satellite and modeling data, our study revealed that forests on the Loess Plateau and in the Qinba Mountains in China are experiencing rapid resilience loss and are already facing mortality warnings after 2010. Reductions in resilience also drove the marked decoupling of GPP from EPE. Notably, the decline in resilience was accompanied by a decrease in EPE in about 74% of the forests while GPP increased. The mechanism underlying this decoupling could be attributed to enhanced atmospheric water demand and soil water constraints. The dynamic relationships found here could help to improve forest mortality models and enhance photosynthesis‐based GPP evaluation.

Geophysical Research LettersVol. 51(16)
Sun Yat-sen University (CN), University of New Hampshire (US), Beijing Normal University (CN), Northwest University (CN), South China Institute Of Environmental Sciences (CN), Indiana University Indianapolis (US), Indiana University – Purdue University Indianapolis (US), Shaanxi Normal University (CN)
National Natural Science Foundation of China, Fundamental Research Funds for the Central Universities
Openalex Percentile: Top 20%
Ecosystem dynamics and resilience
1.41
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