TY - JOUR
T1 - Factors affecting crop production water footprint
T2 - A review and meta-analysis
AU - Wang, Qian
AU - Huang, Kai
AU - Liu, Hui
AU - Yu, Yajuan
N1 - Publisher Copyright:
© 2023 Elsevier Ltd
PY - 2023/3
Y1 - 2023/3
N2 - Climate change and human activities are considered to be the biggest threats and challenges to crop productivity and increase water stress in agricultural systems. Water footprint is a quantitative indicator that closely links crop production to the water cycle, which provides new insights for the assessment of water use in agriculture. The water footprint of crop production (CWF) is susceptible to a variety of factors. However, the current research on the temporal and spatial pattern and influencing factors of CWF mostly focus on the quantitative and correlation analysis of CWF, while the attribution analysis and factor importance analysis of regional discrepancies of CWF are rare. Here, we examined the comprehensive correlation coefficients between the influencing factors (average temperature, precipitation, sunshine hours, relative humidity, wind speed, fertilizer application, effective irrigation area, per capita GDP, crop yield, agricultural machinery power) and CWF using meta-analysis methods. Through the comprehensive correlation coefficient, the factors affecting the CWF in different regions and the key factors reducing the CWF were identified. Our findings provide new insights for the scientific management of water use in agriculture around the world.
AB - Climate change and human activities are considered to be the biggest threats and challenges to crop productivity and increase water stress in agricultural systems. Water footprint is a quantitative indicator that closely links crop production to the water cycle, which provides new insights for the assessment of water use in agriculture. The water footprint of crop production (CWF) is susceptible to a variety of factors. However, the current research on the temporal and spatial pattern and influencing factors of CWF mostly focus on the quantitative and correlation analysis of CWF, while the attribution analysis and factor importance analysis of regional discrepancies of CWF are rare. Here, we examined the comprehensive correlation coefficients between the influencing factors (average temperature, precipitation, sunshine hours, relative humidity, wind speed, fertilizer application, effective irrigation area, per capita GDP, crop yield, agricultural machinery power) and CWF using meta-analysis methods. Through the comprehensive correlation coefficient, the factors affecting the CWF in different regions and the key factors reducing the CWF were identified. Our findings provide new insights for the scientific management of water use in agriculture around the world.
KW - Agricultural machinery
KW - Chemical fertilizer
KW - Climate change
KW - Meta-analysis
KW - Water footprint
UR - http://www.scopus.com/inward/record.url?scp=85146869337&partnerID=8YFLogxK
U2 - 10.1016/j.spc.2023.01.008
DO - 10.1016/j.spc.2023.01.008
M3 - Review article
AN - SCOPUS:85146869337
SN - 2352-5509
VL - 36
SP - 207
EP - 216
JO - Sustainable Production and Consumption
JF - Sustainable Production and Consumption
ER -