文献类型：期刊文献

英文题名：A gridded dataset of a leaf-age-dependent leaf area index seasonality product over tropical and subtropical evergreen broadleaved forests

作者：Yang, Xueqin[1,2,3,4] Chen, Xiuzhi[1,2] Ren, Jiashun[1,2,5] Yuan, Wenping[1,2] Liu, Liyang[6] Liu, Juxiu[7] Chen, Dexiang[8] Xiao, Yihua[8] Song, Qinghai[9] Du, Yanjun[10] Wu, Shengbiao[11] Fan, Lei[12] Dai, Xiaoai[] Wang, Yunpeng[] Su, Yongxian[3]

第一作者：Yang, Xueqin

通信作者：Chen, XZ[1];Chen, XZ[2]

机构：[1]Sun Yat Sen Univ, Guangdong Prov Data Ctr Terr & Marine Ecosyst Carb, Sch Atmospher Sci, Guangdong Prov Key Lab Climate Change & Nat Disast, Zhuhai 519082, Peoples R China;[2]Southern Marine Sci & Engn Guangdong Lab Zhuhai, Zhuhai 519082, Peoples R China;[3]Guangdong Acad Sci, Guangzhou Inst Geog, Guangdong Open Lab Geospatial Informat Technol & A, Key Lab Guangdong Utilizat Remote Sensing & Geogra, Guangzhou 510070, Peoples R China;[4]Chinese Acad Sci, Guangzhou Inst Geochem, Guangzhou 510640, Peoples R China;[5]Chengdu Univ Technol, Coll Earth Sci, Chengdu 610000, Peoples R China;[6]Univ Paris Saclay, Lab Sci Climat & Environm, IPSL, CEA,CNRS,UVSQ, F-91191 Gif Sur Yvette, France;[7]Chinese Acad Sci, Dinghushan Forest Ecosyst Res Stn, South China Bot Garden, Guangzhou 510650, Peoples R China;[8]Chinese Acad Forestry, Res Inst Trop Forestry, Pearl River Delta Forest Ecosyst Res Stn, Guangzhou 510650, Peoples R China;[9]Chinese Acad Sci, CAS Key Lab Trop Forest Ecol, Xishuangbanna Trop Bot Garden, Menglun 666303, Peoples R China;[10]Hainan Univ, Coll Forestry, Key Lab Genet & Germplasm Innovat Trop Special For, Minist Educ, Haikou 570228, Peoples R China;[11]Univ Hong Kong, Sch Biol Sci, Hong Kong, Peoples R China;[12]Southwest Univ, Sch Geog Sci, Chongqing Jinfo Mt Karst Ecosyst Natl Observat & R, Chongqing 400715, Peoples R China

年份：2023

卷号：15

期号：6

起止页码：2601-2622

外文期刊名：EARTH SYSTEM SCIENCE DATA

收录：;WOS:【SCI-EXPANDED(收录号:WOS:001020497200001)】；

基金：This study has been supported by the National Natural Science Foundation of China (grant nos. U21A6001, 31971458, and 41971275), the Guangdong Major Project of Basic and Applied Basic Research (grant no. 2020B0301030004), the Special high-level plan project of Guangdong province (grant no. 2016TQ03Z354), and the Innovation Group Project of the Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai; grant no. 311021009).

语种：英文

摘要：The quantification of large-scale leaf-age-dependent leaf area index has been lacking in tropical and subtropical evergreen broadleaved forests (TEFs), despite the recognized importance of leaf age in influencing leaf photosynthetic capacity in this biome. Here, we simplified the canopy leaves of TEFs into three age cohorts (i.e., young, mature, and old, with different photosynthesis capacities; i.e., V-c,V-max) and proposed a novel neighbor-based approach to develop the first gridded dataset of a monthly leaf-age-dependent leaf area index (LAI) product (referred to as Lad-LAI) at 0.25 degrees spatial resolution over the continental scale during 2001-2018 from satellite observations of sun-induced chlorophyll fluorescence (SIF) that was reconstructed from MODIS and TROPOMI (the TROPOspheric Monitoring Instrument). The new Lad-LAI products show good performance in capturing the seasonality of three LAI cohorts, i.e., young (LAI(young); the Pearson correlation coefficient of R = 0 :36), mature (LAI(mature); R = 0 :77), and old (LAI(old); R = 0 :59) leaves at eight camera-based observation sites (four in South America, three in subtropical Asia, and one in the Democratic Republic of the Congo(DRC)) and can also represent their interannual dynamics, validated only at the Barro Colorado site, with R being equal to 0.54, 0.64, and 0.49 for LAI(young), LAI(mature), and LAI(old), respectively. Additionally, the abrupt drops in LAI(old) are mostly consistent with the seasonal litterfall peaks at 53 in situ measurements across the whole tropical region (R = 0 :82). The LAI seasonality of young and mature leaves also agrees well with the seasonal dynamics of the enhanced vegetation index (EVI; R = 0 :61), which is a proxy for photosynthetically effective leaves. Spatially, the gridded Lad-LAI data capture a dry-season green-up of canopy leaves across the wet Amazonian areas, where mean annual precipitation exceeds 2000 mmyr(-1), consistent with previous satellite-based analyses. The spatial patterns clustered from the three LAI cohorts also coincide with those clustered from climatic variables over the whole TEF region. Herein, we provide the average seasonality of three LAI cohorts as the main dataset and their time series as a supplementary dataset. These Lad-LAI products are available at https://doi.org/10.6084/m9.figshare.21700955.v4 (Yang et al., 2022).