文献类型：期刊文献

英文题名：Comparing Different Light Use Efficiency Models to Estimate the Gross Primary Productivity of a Cork Oak Plantation in Northern China

作者：Liu, Linqi[1,2,3] Gao, Xiang[1,2,3] Cao, Binhua[4] Ba, Yinji[4] Chen, Jingling[5] Cheng, Xiangfen[1,2,3] Zhou, Yu[1,2,3] Huang, Hui[1,2,3] Zhang, Jinsong[1,2,3]

第一作者：Liu, Linqi

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

机构：[1]Chinese Acad Forestry, Res Inst Forestry, Key Lab Tree Breeding & Cultivat, Natl Forestry & Grassland Adm, Beijing 100091, Peoples R China;[2]Nanjing Forestry Univ, Collaborat Innovat Ctr Sustainable Forestry South, Nanjing 210037, Peoples R China;[3]Henan Xiaolangdi Earth Crit Zone Natl Res Stn Mid, Jiyuan 454650, Peoples R China;[4]China Geol Survey, Yantai Coastal Zone Geol Survey Ctr, Yantai 264000, Peoples R China;[5]Henan Agr Univ, Coll Forestry, Zhengzhou 450002, Peoples R China

年份：2022

卷号：14

期号：22

外文期刊名：REMOTE SENSING

收录：;EI(收录号：20224813189947);Scopus(收录号：2-s2.0-85142687595);WOS:【SCI-EXPANDED(收录号:WOS:000887747800001)】；

基金：This study was sponsored by the National Key Research and Development Project (grant no. 2020YFA0608101) and the National Nonprofit Institute Research Grant of the Chinese Academy of Forestry (CAFYBB2022SY001, CAFYBB2018ZA001, CAFZC2017M005).

语种：英文

外文关键词：crop water stress index; light use efficiency model; gross primary production; water stress scalar; weather condition

摘要：Light use efficiency (LUE) models have been widely used to estimate terrestrial gross primary production (GPP). However, the estimation of GPP still has large uncertainties owing to an insufficient understanding of the complex relationship between water availability and photosynthesis. The plant water stress index (PWSI), which is based on canopy temperature, is very sensitive to the plant stomatal opening and has been regarded as a good indicator for monitoring plant water status at the regional scale. In this study, we selected a cork oak plantation in northern China with an obvious seasonal drought as the research object. Using the ground-observed data, we evaluated the applicability of the LUE models with typical water stress scalars (MOD17, MODTEM, EC-LUE, ECM-LUE, SM-LUE, GLO-PEM, and Wang) in a GPP simulation of the cork oak plantation and explored whether the model's accuracy can be improved by applying PWSI to modify the above models. The results showed that among the seven LUE models, the water stress scalar had a greater impact on the model's performance than the temperature stress scalar. On sunny days, the daily GPP simulated by the seven LUE models was poorly matched with the measured GPP, and all models explained only 23-52% of the GPP variation in the cork oak plantation. The modified LUE models can significantly improve the prediction accuracy of the GPP and explain 49-65% of the variation in the daily GPP. On cloudy days, the performance of the modified LUE models did not improve, and the evaporative fraction was more suitable for defining the water stress scalar in the LUE models. The ECM-LUE and the modified GLO-PEM based on PWSI had optimal model structures for simulating the GPP of the cork oak plantation under cloudy and sunny days, respectively. This study provides a reference for the accurate prediction of GPP in terrestrial ecosystems in the future.