Reflectance and chlorophyll fluorescence-based retrieval of photosynthetic parameters improves the estimation of subtropical forest productivity
文献类型：期刊论文
| 作者 | Amir, Muhammad3,4; Chen, Jinghua3; Chen, Bin3,4; Wang, Shaoqiang1,3,4; Zhu, Kai3,4; Li, Yuelin2; Meng, Ze2; Ma, Li3,4; Wang, Xiaobo3,4; Liu, Yuanyuan3,4 |
| 刊名 | ECOLOGICAL INDICATORS
 |
| 出版日期 | 2021-11-01 |
| 卷号 | 131页码:12 |
| 关键词 | Forest Gross primary production Chlorophyll fluorescence V-cmax Ecosystem models |
| ISSN号 | 1470-160X |
| DOI | 10.1016/j.ecolind.2021.108133 |
| 通讯作者 | Chen, Jinghua(chenjh.14b@igsnrr.ac.cn) ; Wang, Shaoqiang(sqwang@igsnrr.ac.cn) |
| 英文摘要 | Forest ecosystems play a significant role in climate change mitigation and uptake a larger amount of atmospheric CO2 than other terrestrial ecosystems via photosynthesis process in form of gross primary production (GPP). The photosynthesis or GPP is largely determined by the photosynthetic capacity of vegetation (i.e., maximum rate of carboxylation, V-cmax) in ecosystem models. However, considerable uncertainties of V-cmax estimates may limit our potential to address scientific issues of GPP related to the increasing emission of atmospheric CO2. Recently, solar-induced chlorophyll fluorescence (SIF) signals have been used as a proxy for resolving photosynthesis. In this study, the biochemical and structural parameters were retrieved from hyperspectral reflectance and fluorescence quantum efficiency (FQEs) was retrieved from ground-based SIF. Then, retrieved parameters were incorporated into the Soil Canopy Observation Photosynthesis and Energy (SCOPE) model to explore the potential of ground-based SIF to track V-cmax variability for a subtropical evergreen mixed forest. Then, SIF-derived V-cmax was used to parameterize Boreal Ecosystem Production Simulator (BEPS) model to simulate the GPP. With retrieved vegetative parameters and FQEs, the ground-based SIF was strongly correlated with the model-based SIF simulation at O-2-B and O-2-A bands, demonstrating that the coefficient of determination (R-2) improved from 0.15 (constant values) to 0.60 (retrieved values) for SIFB and from 0.79 to 0.94 for SIFA simulation. Using SIF-derived V-cmax, the R-2 value of simulated GPP against eddy covariance-based measurements substantially increased from 0.18 (constant V-cmax) to 0.38 (SIF-derived V-cmax) for dry season and from 0.56 to 0.67 for wet season respectively. The utilization of SIF-derived V-cmax with its corrected temperature response function reduced the relative error in annual GPP simulations by 24.9%. Our results support the significant references toward reducing unbiased SIF simulation and highlighting the potential of ground SIF in deriving V-cmax at the site scale for defining forest management options. |
| WOS关键词 | SOLAR-INDUCED FLUORESCENCE ; BIOCHEMICALLY BASED MODEL ; NET ECOSYSTEM EXCHANGE ; CARBON-DIOXIDE UPTAKE ; LIGHT USE EFFICIENCY ; TEMPERATURE RESPONSE ; LEAF CHLOROPHYLL ; TERRESTRIAL BIOSPHERE ; STOMATAL CONDUCTANCE ; SEASONAL PATTERN |
| 资助项目 | National Natural Science Foundation of China[41871342] ; National Key Research and Development Program of China[2017YFC0503803] |
| WOS研究方向 | Biodiversity & Conservation ; Environmental Sciences & Ecology |
| 语种 | 英语 |
| WOS记录号 | WOS:000704573400001 |
| 出版者 | ELSEVIER |
| 资助机构 | National Natural Science Foundation of China ; National Key Research and Development Program of China |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/166934]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Chen, Jinghua; Wang, Shaoqiang |
| 作者单位 | 1.Chinese Univ Geosci, Sch Geog & Informat Engn, Key Lab Reg Ecol Proc & Environm Evolut, Wuhan, Hubei, Peoples R China 2.Chinese Acad Sci, South China Bot Garden, Guangzhou, Guangdong, Peoples R China 3.Inst Geog Sci & Nat Resources Res, Key Lab Ecosyst Network Observat & Modeling, Beijing, Peoples R China 4.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing, Peoples R China |
| 推荐引用方式 GB/T 7714 | Amir, Muhammad,Chen, Jinghua,Chen, Bin,et al. Reflectance and chlorophyll fluorescence-based retrieval of photosynthetic parameters improves the estimation of subtropical forest productivity[J]. ECOLOGICAL INDICATORS,2021,131:12. |
| APA | Amir, Muhammad.,Chen, Jinghua.,Chen, Bin.,Wang, Shaoqiang.,Zhu, Kai.,...&Wang, Zhaosheng.(2021).Reflectance and chlorophyll fluorescence-based retrieval of photosynthetic parameters improves the estimation of subtropical forest productivity.ECOLOGICAL INDICATORS,131,12. |
| MLA | Amir, Muhammad,et al."Reflectance and chlorophyll fluorescence-based retrieval of photosynthetic parameters improves the estimation of subtropical forest productivity".ECOLOGICAL INDICATORS 131(2021):12. |
入库方式： OAI收割
来源：地理科学与资源研究所
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