Patterns and Controls of Light Use Efficiency in Four Contrasting Forest Ecosystems in Yunnan, Southwest China
Fei, Xue-Hai1,2,3; Song, Qing-Hai1,3; Zhang, Yi-Ping1,3; Yu, Gui-Rui4; Zhang, Lei-Ming4; Sha, Li-Qing1,3; Liu, Yun-Tong1,3; Xu, Kun5; Chen, Hui1,6; Wu, Chuan-Sheng7; Chen, Ai-Guo1,8; Zhang, Shu-Bin1,8; Liu, Wei-Wei5; Huang, Hua5; Deng, Yun1,6; Qin, Hai-Lang1,6; Li, Pei-Guang9; Grace, John10
2019-02-01
发表期刊JOURNAL OF GEOPHYSICAL RESEARCH-BIOGEOSCIENCES
ISSN2169-8953
卷号124期号:2页码:293-311
摘要Ecosystem light use efficiency (LUE) is a critical parameter in estimating CO2 uptake by vegetation from climatological and satellite data. However, the spatiotemporal dynamics and biophysical regulations of ecosystem-level LUE are not well understood, resulting in large uncertainties in the estimation of gross primary productivity (GPP) using LUE-based models. In this study, we used eddy covariance to explore spatiotemporal variations and controls of LUE in four contrasting forest ecosystems (savanna, tropical rainforest, subtropical evergreen forest, and subalpine coniferous forest). Based on 27 site years of data, we found that (1) the multiyear mean LUE was 0.063, 0.251, 0.247, and 0.140g C mol photon(-1) in the four contrasting ecosystems, respectively; (2) the LUE in the wet season (May-October) was higher than that in the dry season in all studied ecosystems; (3) the leaf area index controlled GPP and LUE significantly and explained 74%, 29%, 54%, and 36% of the variation in GPP and 51%, 19%, 41%, and 54% of the variation in LUE in the four contrasting ecosystems, respectively; (4) path analysis revealed the critical roles of GPP and vapor pressure deficit in controlling LUE in these four forest ecosystems; and (5) under warming scenarios, LUE may decrease in savanna but increase in the other three ecosystems, while decreasing precipitation (P) may reduce LUE in the ecosystems studied. This study improves our understanding of the influence of biophysical factors on LUE and demonstrates how LUE changes with variations in temperature, soil moisture, and leaf area index, thereby improving estimations of large-scale carbon exchange/cycling.
关键词ecosystem light use efficiency critical factors path analysis climate change forest ecosystems eddy covariance
收录类别SCI
语种英语
文献类型期刊论文
条目标识符http://ir.kib.ac.cn/handle/151853/65153
专题资源植物与生物技术所级重点实验室
通讯作者Song, Qing-Hai; Zhang, Yi-Ping
作者单位1.Chinese Acad Sci, CAS Key Lab Trop Forest Ecol, Xishuangbanna Trop Bot Garden, Menglun, Peoples R China
2.Guizhou Univ, Coll Resources & Environm Engn, Guiyang, Guizhou, Peoples R China
3.Chinese Acad Sci, Global Change Ecol Grp, Xishuangbanna Trop Bot Garden, Menglun, Peoples R China
4.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Synth Res Ctr Chinese Ecosyst Res Network, Key Lab Ecosyst Network Observat & Modeling, Beijing, Peoples R China
5.Chinese Acad Sci, Kunming Inst Bot, Lijiang Forest Ecosyst Res Stn, Kunming, Yunnan, Peoples R China
6.Xishuangbanna Stn Trop Rainforest Ecosyst Studies, Menglun, Peoples R China
7.Fuyang Normal Univ, Anhui Prov Key Lab Environm Hormone & Reprod, Anhui Prov Key Lab Embryo Dev & Reprod Regulat, Fuyang, Peoples R China
8.Chinese Acad Sci, Xishuangbanna Trop Bot Garden, Yuanjiang Savanna Ecosyst Res Stn, Yuanjiang, Peoples R China
9.Chinese Acad Sci, Yantai Inst Coastal Zone Res, Yellow River Delta Ecol Res Stn Coastal Wetland, Yantai, Peoples R China
10.Univ Edinburgh, Sch GeoSci, Edinburgh, Midlothian, Scotland
推荐引用方式
GB/T 7714
Fei, Xue-Hai,Song, Qing-Hai,Zhang, Yi-Ping,et al. Patterns and Controls of Light Use Efficiency in Four Contrasting Forest Ecosystems in Yunnan, Southwest China[J]. JOURNAL OF GEOPHYSICAL RESEARCH-BIOGEOSCIENCES,2019,124(2):293-311.
APA Fei, Xue-Hai.,Song, Qing-Hai.,Zhang, Yi-Ping.,Yu, Gui-Rui.,Zhang, Lei-Ming.,...&Grace, John.(2019).Patterns and Controls of Light Use Efficiency in Four Contrasting Forest Ecosystems in Yunnan, Southwest China.JOURNAL OF GEOPHYSICAL RESEARCH-BIOGEOSCIENCES,124(2),293-311.
MLA Fei, Xue-Hai,et al."Patterns and Controls of Light Use Efficiency in Four Contrasting Forest Ecosystems in Yunnan, Southwest China".JOURNAL OF GEOPHYSICAL RESEARCH-BIOGEOSCIENCES 124.2(2019):293-311.
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