Mapping Chinese annual gross primary productivity with eddy covariance measurements and machine learning-Reference-Cited by-同舟云学术

Mapping Chinese annual gross primary productivity with eddy covariance measurements and machine learning

Published:2023-01 Issue: Volume:857 Page:159390
ISSN:0048-9697
Container-title:Science of The Total Environment
language:en
Short-container-title:Science of The Total Environment

Author:

Zhu Xian-Jin,Yu Gui-Rui,Chen Zhi,Zhang Wei-Kang,Han Lang,Wang Qiu-Feng,Chen Shi-Ping,Liu Shao-Min,Wang Hui-Min,Yan Jun-Hua,Tan Jun-Lei,Zhang Fa-Wei,Zhao Feng-Hua,Li Ying-Nian,Zhang Yi-Ping,Shi Pei-Li,Zhu Jiao-Jun,Wu Jia-Bing,Zhao Zhong-Hui,Hao Yan-Bin,Sha Li-Qing,Zhang Yu-Cui,Jiang Shi-Cheng,Gu Feng-Xue,Wu Zhi-Xiang,Zhang Yang-Jian,Zhou Li,Tang Ya-Kun,Jia Bing-Rui,Li Yu-Qiang,Song Qing-Hai,Dong Gang,Gao Yan-Hong,Jiang Zheng-De,Sun Dan,Wang Jian-Lin,He Qi-Hua,Li Xin-Hu,Wang Fei,Wei Wen-Xue,Deng Zheng-Miao,Hao Xiang-Xiang,Li Yan,Liu Xiao-Li,Zhang Xi-Feng,Zhu Zhi-Lin

Publisher

Elsevier BV

Subject

Pollution,Waste Management and Disposal,Environmental Chemistry,Environmental Engineering

Reference81 articles.

1. Spatiotemporal patterns of terrestrial gross primary production: a review;Anav;Rev. Geophys.,2015

2. On the use of machine learning based ensemble approaches to improve evapotranspiration estimates from croplands across a wide environmental gradient;Bai;Agric. For. Meteorol.,2021

3. Does day and night sampling reduce spurious correlation between canopy photosynthesis and ecosystem respiration?;Baldocchi;Agric. For. Meteorol.,2015

4. Random forests;Breiman;Mach. Learn.,2001

5. Factors controlling long-term carbon dioxide exchange between a Douglas-fir stand and the atmosphere identified using an artificial neural network approach;Briegel;Ecol. Model.,2020

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