AquaCrop model-based sensitivity analysis of soil salinity dynamics and productivity under climate change in sandy-layered farmland

To improve the simulation accuracy and efficiency of crop water models in semi-arid regions and considering climate change, we conducted a sensitivity analysis of the AquaCrop model crop parameters for maize (Zea mays) based on field monitoring data from 2020 to 2021 in the Hetao Irrigation District, China. We simulated soil water and salt dynamics, crop growth, water consumption, and final yield under climate change conditions. Non-conservative parameters, such as the crop growth coefficient (CGC) and maximum effective rooting depth ( Z x ), significantly influenced soil water content and salt profile sensitivity. Z x was highly sensitive to soil salt content. For maize biomass and yield, maximum canopy cover (CC x ) and CGC consistently showed high sensitivity. The standard crop transpiration coefficient (K cTr,x ) had a significant impact on yield. Water productivity (WP ET ) and harvest index (HI) were mainly sensitive to CC x , K cTr,x , normalized water productivity (WP*), and reference HI (HI 0 ). The model simulations, calibrated with these sensitive parameters, indicated that under future climate change scenarios, maize yield is projected to increase by approximately 19 % by mid-21st century due to elevated CO 2 concentrations and water productivity increasing by 22–27 %. Soil salinity is expected to rise by 0.2 t ha −1 under high-emission scenarios, indicating that the challenge of soil salinization will become more severe. This study provides scientific evidence for developing agricultural management strategies to adapt to climate change, with the aim of enhancing crop yield and water-use efficiency, thus promoting sustainable agricultural development. • Utilized the AquaCrop model for a sensitivity analysis on maize growth parameters in the Hetao Irrigation District. • Examined the impact of climate scenarios on soil water-salt balance and crop productivity. • Anticipated increases in maize yield and water productivity under SSP scenarios. • Highlighted rising soil salinity under high emission scenarios, stressing the need for comprehensive management strategies.

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Publication Details

Journal
Agricultural Water Management
Published
2024-12-25
DOI
https://doi.org/10.1016/j.agwat.2024.109244
Citations
12
Primary Topic
Climate change impacts on agriculture
Type
article
Field-Weighted Citation Impact
12.35
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article

AquaCrop model-based sensitivity analysis of soil salinity dynamics and productivity under climate change in sandy-layered farmland

Jianwen Yan, Weiying Feng, José Manuel Gonçalves, Qingfeng Miao et al.
12 citations
Agricultural Water Management
Climate change impacts on agriculture
12.35
article

AquaCrop model-based sensitivity analysis of soil salinity dynamics and productivity under climate change in sandy-layered farmland

Jianwen Yan, Weiying Feng, José Manuel Gonçalves, Qingfeng Miao, Xianyue Li, Zhuangzhuang Feng, Yan Yan, Haibin Shi, Dandan Yu
article en
12 citations

Abstract

To improve the simulation accuracy and efficiency of crop water models in semi-arid regions and considering climate change, we conducted a sensitivity analysis of the AquaCrop model crop parameters for maize (Zea mays) based on field monitoring data from 2020 to 2021 in the Hetao Irrigation District, China. We simulated soil water and salt dynamics, crop growth, water consumption, and final yield under climate change conditions. Non-conservative parameters, such as the crop growth coefficient (CGC) and maximum effective rooting depth ( Z x ), significantly influenced soil water content and salt profile sensitivity. Z x was highly sensitive to soil salt content. For maize biomass and yield, maximum canopy cover (CC x ) and CGC consistently showed high sensitivity. The standard crop transpiration coefficient (K cTr,x ) had a significant impact on yield. Water productivity (WP ET ) and harvest index (HI) were mainly sensitive to CC x , K cTr,x , normalized water productivity (WP*), and reference HI (HI 0 ). The model simulations, calibrated with these sensitive parameters, indicated that under future climate change scenarios, maize yield is projected to increase by approximately 19 % by mid-21st century due to elevated CO 2 concentrations and water productivity increasing by 22–27 %. Soil salinity is expected to rise by 0.2 t ha −1 under high-emission scenarios, indicating that the challenge of soil salinization will become more severe. This study provides scientific evidence for developing agricultural management strategies to adapt to climate change, with the aim of enhancing crop yield and water-use efficiency, thus promoting sustainable agricultural development. • Utilized the AquaCrop model for a sensitivity analysis on maize growth parameters in the Hetao Irrigation District. • Examined the impact of climate scenarios on soil water-salt balance and crop productivity. • Anticipated increases in maize yield and water productivity under SSP scenarios. • Highlighted rising soil salinity under high emission scenarios, stressing the need for comprehensive management strategies.

Agricultural Water ManagementVol. 307
Inner Mongolia Agricultural University (CN), Polytechnic Institute of Coimbra (PT), Inner Mongolia Autonomous Region Meteorological Bureau (CN), Research Center for Natural Resources, Environment and Society (PT), Beihang University (CN)
Climate action
Openalex Percentile: Top 1%
Climate change impacts on agriculture
12.35
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