A leaf age-dependent light use efficiency model for remote sensing the gross primary productivity seasonality over pantropical evergreen broadleaved forests
文献类型：期刊论文
| 作者 | Tian, Jie9,10; Yang, Xueqin1,8,9,10; Yuan, Wenping7; Lin, Shangrong6; Han, Liusheng5; Zheng, Yi9,10; Xia, Xiaosheng9,10; Liu, Liyang4; Wang, Mei9,10; Zheng, Wei9,10 |
| 刊名 | GLOBAL CHANGE BIOLOGY
 |
| 出版日期 | 2024-08-01 |
| 卷号 | 30期号:8页码:17 |
| 关键词 | gross primary productivity leaf age light use efficiency model photosynthetic seasonality tropical and subtropical evergreen broadleaved forests |
| ISSN号 | 1354-1013 |
| DOI | 10.1111/gcb.17454 |
| 英文摘要 | Tropical and subtropical evergreen broadleaved forests (TEFs) contribute more than one-third of terrestrial gross primary productivity (GPP). However, the continental-scale leaf phenology-photosynthesis nexus over TEFs is still poorly understood to date. This knowledge gap hinders most light use efficiency (LUE) models from accurately simulating the GPP seasonality in TEFs. Leaf age is the crucial plant trait to link the dynamics of leaf phenology with GPP seasonality. Thus, here we incorporated the seasonal leaf area index of different leaf age cohorts into a widely used LUE model (i.e., EC-LUE) and proposed a novel leaf age-dependent LUE model (denoted as LA-LUE model). At the site level, the LA-LUE model (average R2 = .59, average root-mean-square error [RMSE] = 1.23 gC m-2 day-1) performs better than the EC-LUE model in simulating the GPP seasonality across the nine TEFs sites (average R2 = .18; average RMSE = 1.87 gC m-2 day-1). At the continental scale, the monthly GPP estimates from the LA-LUE model are consistent with FLUXCOM GPP data (R2 = .80; average RMSE = 1.74 gC m-2 day-1), and satellite-based GPP data retrieved from the global Orbiting Carbon Observatory-2 (OCO-2) based solar-induced chlorophyll fluorescence (SIF) product (GOSIF) (R2 = .64; average RMSE = 1.90 gC m-2 day-1) and the reconstructed TROPOspheric Monitoring Instrument SIF dataset using machine learning algorithms (RTSIF) (R2 = .78; average RMSE = 1.88 gC m-2 day-1). Typically, the estimated monthly GPP not only successfully represents the unimodal GPP seasonality near the Tropics of Cancer and Capricorn, but also captures well the bimodal GPP seasonality near the Equator. Overall, this study for the first time integrates the leaf age information into the satellite-based LUE model and provides a feasible implementation for mapping the continental-scale GPP seasonality over the entire TEFs. This study incorporated leaf age information into a widely used light use efficiency (LUE) model (i.e., EC-LUE) and proposed a novel leaf age-dependent LUE model (i.e., LA-LUE model) to estimate the monthly gross primary productivity (GPP) over pantropical evergreen broadleaved forests. The GPP estimations from the LA-LUE model showed superior performance than the EC-LUE model against in situ measurements. The new model also demonstrated good capacity in representing both the unimodal GPP seasonality near the Tropics of Cancer and Capricorn and the bimodal GPP seasonality near the Equator. The new model provides a feasible implementation for predicting the future continental-scale GPP seasonality.image |
| WOS研究方向 | Biodiversity & Conservation ; Environmental Sciences & Ecology |
| 语种 | 英语 |
| WOS记录号 | WOS:001288550900001 |
| 源URL | [http://ir.gig.ac.cn/handle/344008/78675]  |
| 专题 | 中国科学院广州地球化学研究所 |
| 通讯作者 | Chen, Xiuzhi |
| 作者单位 | 1.Chinese Acad Sci, Guangzhou Inst Geochem, Guangzhou, Peoples R China 2.Beijing Normal Univ, Fac Geog Sci, Innovat Res Ctr Satellite Applicat IRCSA, State Key Lab Remote Sensing Sci, Beijing, Peoples R China 3.Southwest Univ, Sch Geog Sci, Chongqing Jinfo Mt Karst Ecosyst Natl Observat & R, Natl Observat & Res Stn, Chongqing, Peoples R China 4.Univ Paris Saclay, CNRS, UVSQ, IPSL,CEA,Lab Sci Climat & Environm, Gif Sur Yvette, France 5.Shandong Univ Technol, Sch Civil Engn & Geomat, Zibo, Peoples R China 6.Sun Yat Sen Univ, Sch Geog & Planning, Carbon Water Res Stn Karst Reg Northern Guangdong, Guangzhou, Peoples R China 7.Peking Univ, Inst Carbon Neutral, Sino French Inst Earth Syst Sci, Coll Urban & Environm Sci, Beijing, Peoples R China 8.Univ Chinese Acad Sci, Beijing, Peoples R China 9.Southern Marine Sci & Engn Guangdong Lab Zhuhai, Zhuhai 519082, Peoples R China 10.Sun Yat Sen Univ, Sch Atmospher Sci, Guangdong Prov Data Ctr Terr & Marine Ecosyst Carb, Guangdong Prov Key Lab Climate Change & Nat Disast, Zhuhai 519082, Peoples R China |
| 推荐引用方式 GB/T 7714 | Tian, Jie,Yang, Xueqin,Yuan, Wenping,et al. A leaf age-dependent light use efficiency model for remote sensing the gross primary productivity seasonality over pantropical evergreen broadleaved forests[J]. GLOBAL CHANGE BIOLOGY,2024,30(8):17. |
| APA | Tian, Jie.,Yang, Xueqin.,Yuan, Wenping.,Lin, Shangrong.,Han, Liusheng.,...&Chen, Xiuzhi.(2024).A leaf age-dependent light use efficiency model for remote sensing the gross primary productivity seasonality over pantropical evergreen broadleaved forests.GLOBAL CHANGE BIOLOGY,30(8),17. |
| MLA | Tian, Jie,et al."A leaf age-dependent light use efficiency model for remote sensing the gross primary productivity seasonality over pantropical evergreen broadleaved forests".GLOBAL CHANGE BIOLOGY 30.8(2024):17. |
入库方式： OAI收割
来源：广州地球化学研究所
浏览0
下载0
收藏0
其他版本
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。