Work

Coupling a light use efficiency model with a machine learning-based water constraint for predicting grassland gross primary production

Year: 2023

Type: article

Source: Agricultural and Forest Meteorology

DOI: 10.1016/j.agrformet.2023.109634

Authors: Ruiyang Yu, Yunjun Yao, Qingxin Tang, Changliang Shao, Joshua B. Fisher, Jiquan Chen, Kun Jia, Xiaotong Zhang, Yufu Li, Ke Shang, Junming Yang, Lu Liu, Xueyi Zhang, Xiaozheng Guo, Zijing Xie, Jing Ning, Jiahui Fan, Lilin Zhang

Institutions: Beijing Normal University, State Key Laboratory of Remote Sensing Science, Liaocheng University, Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Chapman University, Michigan State University, Space Engineering University, China Meteorological Administration, International Institute for Geo-Information Science and Earth Observation, University of Twente

Language: English

Topic: Plant Water Relations and Carbon Dynamics

Subfield: Global and Planetary Change

Field: Environmental Science

Domain: Physical Sciences

SDG: Climate action

Open Access status: bronze

OpenAlex ID: W4385609178

FWCI: 1.802

Cites: 116

Cited by: 23

Related to: 10