数字农科院2.0

A new factorial sensitivity model for analyzing the impacts of climatic factors on crop water footprint

文献类型: 外文期刊

作者: Hu M.;Yu Q.;Tang H.;Wu W.

作者机构:

关键词: Climatic factors;Crop water footprint;Factorial analysis;Spatio-temporal changes;Standardized precipitation evapotranspiration index (SPEI)

期刊名称: Journal of Cleaner Production

ISSN: 0959-6526

年卷期: 2024 年 434 卷

页码:

收录情况: SCIE(2024版) ; ; EI(2024版)

摘要: The impact of climate change on the crop water footprint (WF) is highly uncertain, hindering effective agricultural water use in response to climate change. This study proposes a factor sensitivity analysis method, which can screen out statistically significant climatic factors and interactions on crop WF under various uncertainties and determine water resource management measures to mitigate drought for different crops. A special case study was conducted in Heilongjiang Province, China. The results showed that (1) the annual change in crop WF showed a downward trend from 1988 to 2018. The crop WF was dominated by green water footprint (WFgreen), and the average occupancy rate of WFgreen in crops was 58.7%–74.1 %; the spatial distribution of WF has latitude zonality. (2) Drought has different effects on WF of different crops, and WF of soybean is susceptible to drought. Wind speed, sunshine hours, and humidity have a greater impact on crop WF in most growth stages. (3) The effect of climatic factors on crop WF varies in different months. The rice WF is mainly affected by the climate in May, and there is an interaction between May humidity and May rain. The WF of maize and soybeans are affected primarily by the climate in July, especially sunshine hours. The proposed approach attempts to analyze that crop WF is affected by not only an individual climatic factor but also their interactions. Crop water management practices should be adjusted based on the results to mitigate the adverse impact of climatic conditions on crop WF during different growing months. © 2023

分类号:

  • 相关文献

[1]Patterns and Dominant Driving Factors of Carbon Storage Changes in the Qinghai–Tibet Plateau under Multiple Land Use Change Scenarios. Huihui Zhao,Caifeng Yang,Miao Lu,Longhao Wang,Bing Guo. 2024

[2]Protecting Local Breeds of Livestock in NW China. Lang Xia,Wang Cailian,Squires, Victor. 2010

[3]A Chromosome-Level Genome of the Camphor Tree and the Underlying Genetic and Climatic Factors for Its Top-Geoherbalism. Jiang, Rihong,Chen, Xinlian,Liao, Xuezhu,Peng, Dan,Han, Xiaoxu,Zhu, Changsan,Wang, Ping,Hufnagel, David E.,Wang, Li,Li, Kaixiang,Li, Cheng. 2022

[4]Correlation analysis between climatic factors and chemical components of Panax notoginseng grown in various regions in China. S. Du,Y. H. Tao,Y. L. Shen,Y. X. Guo,K. M. Zhang,G. Liu,M. S. Li,Y. L. Yang,X. Y. Pang,Z. L. Zhang. 2022

[5]Carbon budget response to climate change varies with grassland type in Qilian Mountains, China. Qingqing Hou,Hang Yang,Jianshuang Wu,Xiaojun Yu. 2023

[6]Spatiotemporal Characteristics of Dryness/Wetness in the Wine Regions of China from 1981 to 2015. Xiaojuan Yang,Ning Yao,Wei Hu,Xingjie Ji,Qingzu Luan,Yuan Liu,Wei Bai,Di Chen,Buchun Liu. 2022

[7]Spatiotemporal patterns and driving factors of gross primary productivity over the Mongolian Plateau steppe in the past 20 years. Ding L.,Li Z.,Wang X.,Shen B.,Xiao L.,Dong G.,Yu L.,Nandintsetseg B.,Shi Z.,Chang J.,Shao C.. 2024

[8]A Chromosome-Level Genome of the Camphor Tree and the Underlying Genetic and Climatic Factors for Its Top-Geoherbalism. Jiang, Rihong,Chen, Xinlian,Liao, Xuezhu,Peng, Dan,Han, Xiaoxu,Zhu, Changsan,Wang, Ping,Hufnagel, David E.,Wang, Li,Li, Kaixiang,Li, Cheng. 2024

[9]Combining stable isotopes and multi-elements with machine learning chemometric models to identify the geographical origins of Tetrastigma hemsleyanum Diels et Gilg. Lu Bai,Zixuan Zhang,Yalan Li,Shanshan Zhao,Xiaoting Yang,Chengqun Chen,Shilin Zhao,Ping Zhang,Xin Peng,Yan Zhao,Kehong Liang. 2025

作者其他论文 更多>>