{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,10]],"date-time":"2026-06-10T06:41:45Z","timestamp":1781073705627,"version":"3.54.1"},"reference-count":76,"publisher":"MDPI AG","issue":"22","license":[{"start":{"date-parts":[[2022,11,21]],"date-time":"2022-11-21T00:00:00Z","timestamp":1668988800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"the National Key Research and Development Project","award":["grant no. 2020YFA0608101"],"award-info":[{"award-number":["grant no. 2020YFA0608101"]}]},{"name":"the National Key Research and Development Project","award":["CAFYBB2022SY001"],"award-info":[{"award-number":["CAFYBB2022SY001"]}]},{"name":"the National Key Research and Development Project","award":["CAFYBB2018ZA001"],"award-info":[{"award-number":["CAFYBB2018ZA001"]}]},{"name":"the National Key Research and Development Project","award":["CAFZC2017M005"],"award-info":[{"award-number":["CAFZC2017M005"]}]},{"name":"the National Nonprofit Institute Research Grant of the Chinese Academy of Forestry","award":["grant no. 2020YFA0608101"],"award-info":[{"award-number":["grant no. 2020YFA0608101"]}]},{"name":"the National Nonprofit Institute Research Grant of the Chinese Academy of Forestry","award":["CAFYBB2022SY001"],"award-info":[{"award-number":["CAFYBB2022SY001"]}]},{"name":"the National Nonprofit Institute Research Grant of the Chinese Academy of Forestry","award":["CAFYBB2018ZA001"],"award-info":[{"award-number":["CAFYBB2018ZA001"]}]},{"name":"the National Nonprofit Institute Research Grant of the Chinese Academy of Forestry","award":["CAFZC2017M005"],"award-info":[{"award-number":["CAFZC2017M005"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>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\u2019s 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\u2019s 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\u201352% 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\u201365% 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.<\/jats:p>","DOI":"10.3390\/rs14225905","type":"journal-article","created":{"date-parts":[[2022,11,22]],"date-time":"2022-11-22T03:13:41Z","timestamp":1669086821000},"page":"5905","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":7,"title":["Comparing Different Light Use Efficiency Models to Estimate the Gross Primary Productivity of a Cork Oak Plantation in Northern China"],"prefix":"10.3390","volume":"14","author":[{"given":"Linqi","family":"Liu","sequence":"first","affiliation":[{"name":"Key Laboratory of Tree Breeding and Cultivation, National Forestry and Grassland Administration, Research Institute of Forestry, Chinese Academy of Forestry, Beijing 100091, China"},{"name":"Collaborative Innovation Center of Sustainable Forestry in Southern China, Nanjing Forestry University, Nanjing 210037, China"},{"name":"Henan Xiaolangdi Earth Critical Zone National Research Station on the Middle Yellow River, Jiyuan 454650, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiang","family":"Gao","sequence":"additional","affiliation":[{"name":"Key Laboratory of Tree Breeding and Cultivation, National Forestry and Grassland Administration, Research Institute of Forestry, Chinese Academy of Forestry, Beijing 100091, China"},{"name":"Collaborative Innovation Center of Sustainable Forestry in Southern China, Nanjing Forestry University, Nanjing 210037, China"},{"name":"Henan Xiaolangdi Earth Critical Zone National Research Station on the Middle Yellow River, Jiyuan 454650, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Binhua","family":"Cao","sequence":"additional","affiliation":[{"name":"Yantai Coastal Zone Geological Survey Center, China Geological Survey, Yantai 264000, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yinji","family":"Ba","sequence":"additional","affiliation":[{"name":"Yantai Coastal Zone Geological Survey Center, China Geological Survey, Yantai 264000, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jingling","family":"Chen","sequence":"additional","affiliation":[{"name":"College of Forestry, Henan Agricultural University, Zhengzhou 450002, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiangfen","family":"Cheng","sequence":"additional","affiliation":[{"name":"Key Laboratory of Tree Breeding and Cultivation, National Forestry and Grassland Administration, Research Institute of Forestry, Chinese Academy of Forestry, Beijing 100091, China"},{"name":"Collaborative Innovation Center of Sustainable Forestry in Southern China, Nanjing Forestry University, Nanjing 210037, China"},{"name":"Henan Xiaolangdi Earth Critical Zone National Research Station on the Middle Yellow River, Jiyuan 454650, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yu","family":"Zhou","sequence":"additional","affiliation":[{"name":"Key Laboratory of Tree Breeding and Cultivation, National Forestry and Grassland Administration, Research Institute of Forestry, Chinese Academy of Forestry, Beijing 100091, China"},{"name":"Collaborative Innovation Center of Sustainable Forestry in Southern China, Nanjing Forestry University, Nanjing 210037, China"},{"name":"Henan Xiaolangdi Earth Critical Zone National Research Station on the Middle Yellow River, Jiyuan 454650, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hui","family":"Huang","sequence":"additional","affiliation":[{"name":"Key Laboratory of Tree Breeding and Cultivation, National Forestry and Grassland Administration, Research Institute of Forestry, Chinese Academy of Forestry, Beijing 100091, China"},{"name":"Collaborative Innovation Center of Sustainable Forestry in Southern China, Nanjing Forestry University, Nanjing 210037, China"},{"name":"Henan Xiaolangdi Earth Critical Zone National Research Station on the Middle Yellow River, Jiyuan 454650, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jinsong","family":"Zhang","sequence":"additional","affiliation":[{"name":"Key Laboratory of Tree Breeding and Cultivation, National Forestry and Grassland Administration, Research Institute of Forestry, Chinese Academy of Forestry, Beijing 100091, China"},{"name":"Collaborative Innovation Center of Sustainable Forestry in Southern China, Nanjing Forestry University, Nanjing 210037, China"},{"name":"Henan Xiaolangdi Earth Critical Zone National Research Station on the Middle Yellow River, Jiyuan 454650, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2022,11,21]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"814","DOI":"10.1126\/science.aac6759","article-title":"Forest health and global change","volume":"349","author":"Trumbore","year":"2015","journal-title":"Science"},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"834","DOI":"10.1126\/science.1184984","article-title":"Terrestrial gross carbon dioxide uptake: Global distribution and covariation with climate","volume":"329","author":"Beer","year":"2010","journal-title":"Science"},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"471","DOI":"10.1038\/nclimate2177","article-title":"Nutrient availability as the key regulator of global forest carbon balance","volume":"4","author":"Vicca","year":"2014","journal-title":"Nat. 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