Climate and management impacts on crop growth and evapotranspiration in the North China Plain based on long-term eddy covariance observation-Reference-Cited by-同舟云学术

Climate and management impacts on crop growth and evapotranspiration in the North China Plain based on long-term eddy covariance observation

Published:2022-10 Issue: Volume:325 Page:109147
ISSN:0168-1923
Container-title:Agricultural and Forest Meteorology
language:en
Short-container-title:Agricultural and Forest Meteorology

Author:

Yang Cheng,Lei Huimin

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Atmospheric Science,Agronomy and Crop Science,Global and Planetary Change,Forestry

Reference125 articles.

1. Spatio-temporal variation of vegetation coverage and its response to climate change in North China plain in the last 33 years;A;Int. J. Appl. Earth Obs. Geoinf.,2016

2. Quantification the impacts of climate change and crop management on phenology of maize-based cropping system in Punjab, Pakistan;Abbas;Agric. For. Meteorol.,2017

3. Meteorological impacts on evapotranspiration in different climatic zones of Pakistan;Adnan;J. Arid Land,2017

4. The response of photosynthesis and stomatal conductance to rising [CO2]: mechanisms and environmental interactions;Ainsworth;Plant Cell Environ.,2007

5. Transpiration and evapotranspiration from maize as related to leaf area index;Alkaisi;Agric. For. Meteorol.,1989

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