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Exploring the Significance of Chlorophyll Fluorescence-Based Photosynthetic Capacity in Gross Primary Productivity Simulations Across Diverse Ecosystems in China

文献类型：期刊论文

作者Amir, Muhammad1,2,3; Chen, Bin1,2; Chen, Jinghua2; Wang, Shaoqiang1,2,3; Zhu, Kai1,2; Chen, Shiliang3; Xia, Ye3
刊名JOURNAL OF GEOPHYSICAL RESEARCH-BIOGEOSCIENCES
出版日期2025-02-01
卷号130期号:2页码:e2023JG007889
关键词V-cmax SIF GPP SCOPE model BEPS model
ISSN号2169-8953
DOI10.1029/2023JG007889
产权排序2
文献子类Article
英文摘要Accurate estimation of gross primary productivity (GPP) plays a critical role in developing effective climate change policies. In addition to climatic factors, CO2 levels, and leaf area index (LAI), GPP is also primarily regulated by the maximum rate of carboxylation (V-cmax) in ecosystem models. However, significant uncertainties in V-cmax measurements, along with its limited availability over larger geographical areas, hinder our ability to address scientific questions in context of increasing atmospheric CO2 concentrations. Recently, solar-induced fluorescence (SIF) signals have been used as non-invasive way to monitor plant physiological processes. In this study, we utilized eddy covariance-based GPP and the Soil-Canopy Observation of Photosynthesis and Energy (SCOPE) model to infer V-cmax. We aimed to establish relationships between site-scale V-cmax and far-red solar-induced chlorophyll fluorescence yield (SIFyield) to estimate photosynthetic capacity across diverse ecosystems in China from 2008 to 2010. Our findings revealed a robust relationship between SIFyield and site-level V-cmax retrievals, with a coefficient of determination (R-2) ranging from 0.36 to 0.74 (p < 0.05) at biweekly (once every two weeks) intervals across all studied sites. Incorporating SIFyield-derived V-cmax into the SCOPE model resulted in a 9% improvement in GPP simulation accuracy compare to using a constant V-cmax. Additionally, integration SIFyield-derived V-cmax into the BEPS (Boreal Ecosystem Productivity Simulator) model demonstrated strong agreement between flux-based and simulated GPP values, further validating the accuracy of the estimated V-cmax in capturing ecosystem photosynthetic capacity. This study highlights the importance of utilizing SIFyield to precisely quantify GPP estimates in the context of imminent climate change challenges. Plain Language Summary Gross primary productivity of terrestrial ecosystems plays a significant role in combating climate change because it reflects how much carbon dioxide plants absorb during photosynthesis However, accurately estimating GPP is challenging due to uncertainties in measuring a key parameter, V-cmax, which indicates the maximum rate of photosynthesis in ecosystem modeling. This study utilizes satellite SIF observations as a non-invasive method to monitor photosynthetic activity across diverse ecosystems in China. The results demonstrate a robust correlation between SIF and V-cmax, thereby enhancing our capability to estimate photosynthetic capacity. Incorporating SIFyield-derived V-cmax into our models notably enhanced their ability to simulate GPP at both site and regional scales. This study underscores the significance of employing SIFyield to better understand carbon cycling and the role of terrestrial ecosystems in mitigating climate change.
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WOS关键词LIGHT-USE EFFICIENCY ; CANOPY PHOTOSYNTHESIS ; SEASONAL PATTERN ; LEAF NITROGEN ; V-CMAX ; CARBON ; MODEL ; FOREST ; PARAMETERS ; RUBISCO
WOS研究方向Environmental Sciences & Ecology ; Geology
语种英语
WOS记录号WOS:001412844500001
出版者AMER GEOPHYSICAL UNION
源URL[http://ir.igsnrr.ac.cn/handle/311030/212361]  
专题生态系统网络观测与模拟院重点实验室_外文论文
通讯作者Wang, Shaoqiang
作者单位1.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing, Peoples R China
2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Ecosyst Network Observat & Modeling, Beijing, Peoples R China;
3.China Univ Geosci, Sch Geog & Informat Engn, Hubei Key Lab Reg Ecol & Environm Change, Wuhan, Peoples R China;
推荐引用方式
GB/T 7714		 Amir, Muhammad,Chen, Bin,Chen, Jinghua,et al. Exploring the Significance of Chlorophyll Fluorescence-Based Photosynthetic Capacity in Gross Primary Productivity Simulations Across Diverse Ecosystems in China[J]. JOURNAL OF GEOPHYSICAL RESEARCH-BIOGEOSCIENCES,2025,130(2):e2023JG007889.
APA Amir, Muhammad.,Chen, Bin.,Chen, Jinghua.,Wang, Shaoqiang.,Zhu, Kai.,...&Xia, Ye.(2025).Exploring the Significance of Chlorophyll Fluorescence-Based Photosynthetic Capacity in Gross Primary Productivity Simulations Across Diverse Ecosystems in China.JOURNAL OF GEOPHYSICAL RESEARCH-BIOGEOSCIENCES,130(2),e2023JG007889.
MLA Amir, Muhammad,et al."Exploring the Significance of Chlorophyll Fluorescence-Based Photosynthetic Capacity in Gross Primary Productivity Simulations Across Diverse Ecosystems in China".JOURNAL OF GEOPHYSICAL RESEARCH-BIOGEOSCIENCES 130.2(2025):e2023JG007889.

入库方式： OAI收割

来源：地理科学与资源研究所

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