Modelling the crop yield gap with a remote sensing-based process model: A case study of winter wheat in the North China Plain-Reference-Cited by-同舟云学术

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Modelling the crop yield gap with a remote sensing-based process model: A case study of winter wheat in the North China Plain

Published:2023-10 Issue:10 Volume:22 Page:2993-3005
ISSN:2095-3119
Container-title:Journal of Integrative Agriculture
language:en
Short-container-title:Journal of Integrative Agriculture

Author:

YANG Xu,ZHANG Jia-hua,YANG Shan-shan,WANG Jing-wen,BAI Yun,ZHANG Sha

Publisher

Elsevier BV

Subject

Plant Science,Agronomy and Crop Science,Animal Science and Zoology,Food Animals,Ecology,Biochemistry,Food Science

Reference60 articles.

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2. Using recipitation, vertical root distribution and satellite-retrieved vegetation information to parameterize water stress in a Penman-Monteith approach to evapotranspiration modeling under Mediterranean climate;Bai;Journal of Advances in Modeling Earth Systems,2017

3. Satellite-based assessment of yield variation and its determinants in smallholder African systems;Burke;Proceedings of the National Academy of Sciences of the United States of America,2017

4. Projected increases in global terrestrial net primary productivity loss caused by drought under climate change;Cao;Earth’s Future,2022

5. Physiological and environmental regulation of stomatal conductance, photosynthesis and transpiration: A model that includes a laminar boundary layer;Collatz;Agricultural and Forest Meteorology,1991

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