文献类型：期刊文献

英文题名：ChinaSpec: A Network for Long-Term Ground-Based Measurements of Solar-Induced Fluorescence in China

作者：Zhang, Yongguang[1,2,3] Zhang, Qian[1,2] Liu, Liangyun[4] Zhang, Yangjian[5] Wang, Shaoqiang[5] Ju, Weimin[1,2] Zhou, Guangsheng[6] Zhou, Li[6] Tang, Jianwu[7] Zhu, Xudong[8] Wang, Feng[9] Huang, Ying[7] Zhang, Zhaoying[1,2] Qiu, Bo[1,2] Zhang, Xiaokang[1,2] Wang, Songhan[1,2] Huang, Changping[4] Tang, Xuguang[10] Zhang, Jinsong[11]

第一作者：Zhang, Yongguang

通信作者：Zhang, YG[1];Zhang, YG[2];Zhang, YG[3]

机构：[1]Nanjing Univ, Int Inst Earth Syst Sci, Nanjing, Jiangsu, Peoples R China;[2]Nanjing Univ, Sch Geog & Ocean Sci, Minist Nat Resources, Jiangsu Prov Key Lab Geog Informat Technol,Key La, Nanjing, Jiangsu, Peoples R China;[3]Minist Educ, Huangshan Pk Ecosyst Observat & Res Stn, Huangshan, Peoples R China;[4]Chinese Acad Sci, Aerosp Informat Res Inst, Beijing, Peoples R China;[5]Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Ecosyst Network Observat & Modelling, Beijing, Peoples R China;[6]Chinese Acad Meteorol Sci, State Key Lab Severe Weather, Beijing, Peoples R China;[7]East China Normal Univ, Inst Ecochongming, Stale Key Lab Estuarine & Coastal Res, Shanghai, Peoples R China;[8]Xiamen Univ, Minist Educ, Coll Environm & Ecol, Key Lab Coastal & Wetland Ecosyst, Xiamen, Fujian, Peoples R China;[9]Chinese Acad Forestry, Inst Desertificat Studies, Beijing, Peoples R China;[10]Southwest Univ, Sch Geog Sci, Chongqing Engn Res Ctr Remote Sensing Big Data Ap, Chongqing, Peoples R China;[11]Chinese Acad Forestry, Res Inst Forestry, State Forestry Adm, Key Lab Tree Breeding & Cultivat, Beijing, Peoples R China

年份：2021

卷号：126

期号：3

外文期刊名：JOURNAL OF GEOPHYSICAL RESEARCH-BIOGEOSCIENCES

收录：;Scopus(收录号：2-s2.0-85103302847);WOS:【SCI-EXPANDED(收录号:WOS:000636286700001)】；

基金：This research was supported by the National Key R&D Program of China (2019YFA0606601) and the General Program of Natural Science Foundation of China (42071388). We would thank Dr. Zhongyang Li and other researchers from National Agro-Ecological Observation and Research Station of Shangqiu, Henan, China for the field measurements. The students involved in the data collection were also acknowledged. We would also like to thank Prof. Mark Nearing at University of Arizona for the English correction. We would also like to acknowledge the NASA Earth Science Data Systems program for the MODIS (https://e4ftl01.cr.usgs.gov/MOTA/MCD12C1.006/) and OCO-2 products (https://disc.gsfc.nasa.gov/datasets/OCO2_L2_Lite_SIF_8r/summary?keywords=OCO-2).

语种：英文

外文关键词：biosphere‐ atmosphere carbon exchange; ChinaSpec; eddy covariance flux; ground‐ based continuous measurements; solar‐ induced chlorophyll fluorescence (SIF); terrestrial photosynthesis

摘要：Remotely sensed solar-induced fluorescence (SIF) has emerged as a novel and powerful approach for terrestrial vegetation monitoring. Continuous measurements of SIF in synergy with concurrent eddy covariance (EC) flux measurements can provide a new opportunity to advance terrestrial ecosystem science. Here, we introduce a network of ground-based continuous SIF observations at flux tower sites across the mainland China referred to as ChinaSpec. The network consists of 16 tower sites until 2019 including six cropland sites, four grassland sites, four forest sites, and two wetland sites. An automated SIF system was deployed at each of these sites to collect continuous high-resolution spectra for high-frequency SIF retrievals in synergy with EC flux measurements. The goal of ChinaSpec is to provide long-term ground-based SIF measurements and promote the collaborations between optical remote sensing and EC flux observation communities in China. We present here the details of instrument specifications, data collection and processing procedures, data sharing and utilization protocols, and future plans. Furthermore, we show the examples how ground-based SIF observations can be used to track vegetation photosynthesis from diurnal to seasonal scales, and to assist in the validation of fluorescence models and satellite SIF products (e.g., from OCO-2 and TROPOMI) with the measurements from these sites since 2016. This network of SIF observations could improve our understanding of the controls on the biosphere-atmosphere carbon exchange and enable the improvement of carbon flux predictions. It will also help integrate ground-based SIF measurements with EC flux networks which will advance ecosystem and carbon cycle researches globally.