Pub Date : 2025-04-19DOI: 10.1016/j.agwat.2025.109479
Qing Li , Peijuan Wang , Yang Li , Junxian Tang , Xin Li , Yuanda Zhang , Dianchen Han , Qi Wang , Yuncheng Zhao , Zaiqiang Yang
Hazard assessment serves as the foundation for agricultural climate disaster risk assessment. As the impact of compound drought and heat events on agricultural production continues to intensity, this study constructed a hazard assessment model using a compound magnitude index improved by pre-factors and joint probabilities fitted with optimal copula functions. The aim was to compare and analyze the evolution characteristics and hazards of compound meteorological drought and heat events (CMDHEs) and compound agricultural drought and heat events (CADHEs) during different growth stages of summer maize. The results show that, across different growth stages of summer maize, SPRI and STCI, as well as SPI and STCI, exhibit negative correlations in different decades, with a stronger negative correlation between SPRI and STCI during the tasseling to maturity stage from 2011 to 2023. The pre-effect of meteorological drought in CMDHEs is higher than that of agricultural drought and heat in CADHEs. Our study also revealed a significant upward trend in CADHEs and CMDHEs since 2013 and 2017 during the tasseling to flowering stage. From sowing to tasseling, the hazard levels of CADHEs and CMDHEs were higher in the central and southern parts of Hebei Province and most regions of Henan Province. Compared to CMDHEs, CADHEs exhibit higher frequency and greater hazards across different growth stages of summer maize. These findings provide valuable insights for disaster prevention and mitigation of summer maize in the Huang-Huai-Hai Plain of China, ensuring food security and agricultural production.
{"title":"Hazard assessment of compound drought and heat events on summer maize from agricultural and meteorological perspectives","authors":"Qing Li , Peijuan Wang , Yang Li , Junxian Tang , Xin Li , Yuanda Zhang , Dianchen Han , Qi Wang , Yuncheng Zhao , Zaiqiang Yang","doi":"10.1016/j.agwat.2025.109479","DOIUrl":"10.1016/j.agwat.2025.109479","url":null,"abstract":"<div><div>Hazard assessment serves as the foundation for agricultural climate disaster risk assessment. As the impact of compound drought and heat events on agricultural production continues to intensity, this study constructed a hazard assessment model using a compound magnitude index improved by pre-factors and joint probabilities fitted with optimal copula functions. The aim was to compare and analyze the evolution characteristics and hazards of compound meteorological drought and heat events (CMDHEs) and compound agricultural drought and heat events (CADHEs) during different growth stages of summer maize. The results show that, across different growth stages of summer maize, SPRI and STCI, as well as SPI and STCI, exhibit negative correlations in different decades, with a stronger negative correlation between SPRI and STCI during the tasseling to maturity stage from 2011 to 2023. The pre-effect of meteorological drought in CMDHEs is higher than that of agricultural drought and heat in CADHEs. Our study also revealed a significant upward trend in CADHEs and CMDHEs since 2013 and 2017 during the tasseling to flowering stage. From sowing to tasseling, the hazard levels of CADHEs and CMDHEs were higher in the central and southern parts of Hebei Province and most regions of Henan Province. Compared to CMDHEs, CADHEs exhibit higher frequency and greater hazards across different growth stages of summer maize. These findings provide valuable insights for disaster prevention and mitigation of summer maize in the Huang-Huai-Hai Plain of China, ensuring food security and agricultural production.</div></div>","PeriodicalId":7634,"journal":{"name":"Agricultural Water Management","volume":"313 ","pages":"Article 109479"},"PeriodicalIF":5.9,"publicationDate":"2025-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143848537","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-04-19DOI: 10.1016/j.agwat.2025.109494
Gabriel Garbanzo , Maria do Rosário Cameira , Paula Paredes , Marina Temudo , Tiago B. Ramos
Mangrove swamp rice production (MSRP) is of fundamental importance for the livelihoods, food security, and nutritional well-being of coastal populations in West Africa. However, this system faces increasing challenges due to its reliance on sufficient and well-distributed rainfall to maintain feasible soil salinity levels for rice production during the growing season. This study examines the dynamics of soil water and salts using field observations collected from four different MSRP fields in Guinea-Bissau during two growing seasons, along with simulations using the HYDRUS-1D model. Several rainfall and groundwater depth scenarios were also considered to identify the key factors contributing to soil salinity at the study sites. The results helped identify the main factors influencing soil salinity during the study period and estimate the potential impacts on crop yields, with could decline by up to 60 %. Key factors influencing soil salinity included the amount and distribution of seasonal rainfall, groundwater depth, and groundwater quality. The analysis of modeled scenarios also provided insights into effective management strategies for coping with soil salinization, particularly by assessing: a) where and when more productive, long-cycle rice varieties can still be cultivated; b) where salt-tolerant rice varieties have to be chosen. Additionally, the results reinforce the need for the regular maintenance of dikes and other drainage structures to avoid brackish water entrance and guaranty minimum rice growth conditions. Future research will explore adopting this practice in field with modern water management, with the model enabling precise analysis of impact on sustainability.
{"title":"Modeling soil water and salinity dynamics in mangrove swamp rice production system of Guinea Bissau, West Africa","authors":"Gabriel Garbanzo , Maria do Rosário Cameira , Paula Paredes , Marina Temudo , Tiago B. Ramos","doi":"10.1016/j.agwat.2025.109494","DOIUrl":"10.1016/j.agwat.2025.109494","url":null,"abstract":"<div><div>Mangrove swamp rice production (MSRP) is of fundamental importance for the livelihoods, food security, and nutritional well-being of coastal populations in West Africa. However, this system faces increasing challenges due to its reliance on sufficient and well-distributed rainfall to maintain feasible soil salinity levels for rice production during the growing season. This study examines the dynamics of soil water and salts using field observations collected from four different MSRP fields in Guinea-Bissau during two growing seasons, along with simulations using the HYDRUS-1D model. Several rainfall and groundwater depth scenarios were also considered to identify the key factors contributing to soil salinity at the study sites. The results helped identify the main factors influencing soil salinity during the study period and estimate the potential impacts on crop yields, with could decline by up to 60 %. Key factors influencing soil salinity included the amount and distribution of seasonal rainfall, groundwater depth, and groundwater quality. The analysis of modeled scenarios also provided insights into effective management strategies for coping with soil salinization, particularly by assessing: a) where and when more productive, long-cycle rice varieties can still be cultivated; b) where salt-tolerant rice varieties have to be chosen. Additionally, the results reinforce the need for the regular maintenance of dikes and other drainage structures to avoid brackish water entrance and guaranty minimum rice growth conditions. Future research will explore adopting this practice in field with modern water management, with the model enabling precise analysis of impact on sustainability.</div></div>","PeriodicalId":7634,"journal":{"name":"Agricultural Water Management","volume":"313 ","pages":"Article 109494"},"PeriodicalIF":5.9,"publicationDate":"2025-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143848536","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-04-19DOI: 10.1016/j.agwat.2025.109497
Mattas Konstadinos , Georgiou Pantazis , Lazaridou C. Dimitra , Mattas Christos , Nastis A. Stefanos , Seddaiu Giovanna , Kombiok James Mantent , Adjebeng-Danquah Joseph , Ramson Adombilla
Fresh water is indisputably a vital resource in ecosystems and its scarcity threatens the economy and society. Due to climate change, economic growth and unsustainable water management, water systems have become depleted and very contaminated worldwide. The scarcity and ecological degradation of water resources have threatened the sustainability of human life, socio-economic development and ecosystem services. The key element in an efficient management is the dynamic assessment of the status of water resources. Thus, this work developed a comprehensive evaluation indicator system based on the Driver-Pressure-State-Impact-Response (DPSIR) framework, combined with the Analytic Hierarchy Process (AHP).
The study offers an applied-friendly way of assessing sustainable water management in a resource-scarce environment through a stakeholder engagement approach. This facilitates assessing and reporting the state of water resources in a selected watershed in Ghana. The analysis highlights the components of climate regime and mining activities to demonstrate the greater threats to the water systems of the region. The results clearly illustrate that strengthening stakeholders’ involvement, improvement of infrastructure and implementation of the existing policies are among the higher-ranked responses that would guarantee the sustainability of water resources in the region. Furthermore, the research provides detailed information on human activities and their impacts on water systems in a quick and easy way for local stakeholders and policymakers, so as to support sustainable water management. The overall approach can be easily implemented and expanded in several water management cases.
{"title":"Assessing sustainable water management in a resource-scarce environment (Ghana, West Africa) via the Analytic Hierarchy Process","authors":"Mattas Konstadinos , Georgiou Pantazis , Lazaridou C. Dimitra , Mattas Christos , Nastis A. Stefanos , Seddaiu Giovanna , Kombiok James Mantent , Adjebeng-Danquah Joseph , Ramson Adombilla","doi":"10.1016/j.agwat.2025.109497","DOIUrl":"10.1016/j.agwat.2025.109497","url":null,"abstract":"<div><div>Fresh water is indisputably a vital resource in ecosystems and its scarcity threatens the economy and society. Due to climate change, economic growth and unsustainable water management, water systems have become depleted and very contaminated worldwide. The scarcity and ecological degradation of water resources have threatened the sustainability of human life, socio-economic development and ecosystem services. The key element in an efficient management is the dynamic assessment of the status of water resources. Thus, this work developed a comprehensive evaluation indicator system based on the Driver-Pressure-State-Impact-Response (DPSIR) framework, combined with the Analytic Hierarchy Process (AHP).</div><div>The study offers an applied-friendly way of assessing sustainable water management in a resource-scarce environment through a stakeholder engagement approach. This facilitates assessing and reporting the state of water resources in a selected watershed in Ghana. The analysis highlights the components of climate regime and mining activities to demonstrate the greater threats to the water systems of the region. The results clearly illustrate that strengthening stakeholders’ involvement, improvement of infrastructure and implementation of the existing policies are among the higher-ranked responses that would guarantee the sustainability of water resources in the region. Furthermore, the research provides detailed information on human activities and their impacts on water systems in a quick and easy way for local stakeholders and policymakers, so as to support sustainable water management. The overall approach can be easily implemented and expanded in several water management cases.</div></div>","PeriodicalId":7634,"journal":{"name":"Agricultural Water Management","volume":"313 ","pages":"Article 109497"},"PeriodicalIF":5.9,"publicationDate":"2025-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143850868","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-04-19DOI: 10.1016/j.agwat.2025.109472
Lixia H. Lambert , Yiqing Yao , Lucia R. Levers
Managing water resources is particularly important in the semi-arid Southern Great Plains of the United States. Surface water supply is limited compared to the extensive yet overly exploited groundwater resources of the Ogallala Aquifer. The region’s irrigators often encounter a reduced water table and tradeoffs between prolonging groundwater life and maximizing the profitability of irrigated agriculture. This research determines the optimal inter-temporal groundwater and land allocation to row crop production over time with varied ten-year water extraction rates, discount rates, and energy prices. A hydro-economic model is developed for Oklahoma’s Texas County, the state’s largest groundwater user. The model maximizes the Net Present Value (NPV) for producers, subject to resource constraints and a ten-year planning horizon. Results show higher water extraction rates significantly decrease the water table and overall profitability. With lower water extraction rates over ten years, dryland sorghum is a suitable replacement for irrigated maize. Higher energy costs did not show a significant influence on optimal cropping patterns and water usage paths when the water extraction rate is low. Results under different discount rates indicate that if producers put less weight on current costs and income, their total returns on irrigation water could increase over time with less water extraction.
{"title":"Optimal cropping patterns and intertemporal groundwater usage under extraction constraints in Oklahoma’s panhandle","authors":"Lixia H. Lambert , Yiqing Yao , Lucia R. Levers","doi":"10.1016/j.agwat.2025.109472","DOIUrl":"10.1016/j.agwat.2025.109472","url":null,"abstract":"<div><div>Managing water resources is particularly important in the semi-arid Southern Great Plains of the United States. Surface water supply is limited compared to the extensive yet overly exploited groundwater resources of the Ogallala Aquifer. The region’s irrigators often encounter a reduced water table and tradeoffs between prolonging groundwater life and maximizing the profitability of irrigated agriculture. This research determines the optimal inter-temporal groundwater and land allocation to row crop production over time with varied ten-year water extraction rates, discount rates, and energy prices. A hydro-economic model is developed for Oklahoma’s Texas County, the state’s largest groundwater user. The model maximizes the Net Present Value (NPV) for producers, subject to resource constraints and a ten-year planning horizon. Results show higher water extraction rates significantly decrease the water table and overall profitability. With lower water extraction rates over ten years, dryland sorghum is a suitable replacement for irrigated maize. Higher energy costs did not show a significant influence on optimal cropping patterns and water usage paths when the water extraction rate is low. Results under different discount rates indicate that if producers put less weight on current costs and income, their total returns on irrigation water could increase over time with less water extraction.</div></div>","PeriodicalId":7634,"journal":{"name":"Agricultural Water Management","volume":"313 ","pages":"Article 109472"},"PeriodicalIF":5.9,"publicationDate":"2025-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143848535","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-04-19DOI: 10.1016/j.agwat.2025.109477
Alejandro Gomez , Antonio Arenas , Keith E. Schilling
A hydrologic model was developed to investigate the surface ponding dynamics in a pothole complex in Iowa's prairie pothole region. This study includes a description of the ponding process, the identification of the main drivers of surface ponding, and an analysis of ponding depth and duration. The modeling was based on Saint-Venant and Richard’s equations to calculate overland and groundwater flows, respectively, using a coupled surface-subsurface approach. The model simulated eleven years (2011–2021) and was calibrated and validated using three datasets: water table measurements, surface ponding estimated from satellite images, and satellite-based estimates of evapotranspiration. Based on the simulations, the ponding process starts with direct precipitation and overland flow moving toward the pothole. Once water reaches the pothole, it infiltrates and percolates causing the water table to rise until it eventually reaches the ground surface. Surface ponding begins when the soil beneath the pothole is fully saturated and continues until the excess water is removed through evapotranspiration and the tile drainage network. Results indicate that surface ponding is primarily driven by overland flow, with 64.1 % from direct precipitation and 35.9 % from runoff, while groundwater rise has a negligible contribution. The model results indicate an average infiltration rate of 25 mm/day and average ponding depth and duration of 6.8 cm and 3.6 days, respectively. Analysis of the simulated ponding duration reveals a reduction in crop yield in 2 of the 11 years, with total crop loss occurring in 6 of those years.
{"title":"Surface-subsurface modeling of water dynamics in drained and farmed wetlands in the prairie pothole region","authors":"Alejandro Gomez , Antonio Arenas , Keith E. Schilling","doi":"10.1016/j.agwat.2025.109477","DOIUrl":"10.1016/j.agwat.2025.109477","url":null,"abstract":"<div><div>A hydrologic model was developed to investigate the surface ponding dynamics in a pothole complex in Iowa's prairie pothole region. This study includes a description of the ponding process, the identification of the main drivers of surface ponding, and an analysis of ponding depth and duration. The modeling was based on Saint-Venant and Richard’s equations to calculate overland and groundwater flows, respectively, using a coupled surface-subsurface approach. The model simulated eleven years (2011–2021) and was calibrated and validated using three datasets: water table measurements, surface ponding estimated from satellite images, and satellite-based estimates of evapotranspiration. Based on the simulations, the ponding process starts with direct precipitation and overland flow moving toward the pothole. Once water reaches the pothole, it infiltrates and percolates causing the water table to rise until it eventually reaches the ground surface. Surface ponding begins when the soil beneath the pothole is fully saturated and continues until the excess water is removed through evapotranspiration and the tile drainage network. Results indicate that surface ponding is primarily driven by overland flow, with 64.1 % from direct precipitation and 35.9 % from runoff, while groundwater rise has a negligible contribution. The model results indicate an average infiltration rate of 25 mm/day and average ponding depth and duration of 6.8 cm and 3.6 days, respectively. Analysis of the simulated ponding duration reveals a reduction in crop yield in 2 of the 11 years, with total crop loss occurring in 6 of those years.</div></div>","PeriodicalId":7634,"journal":{"name":"Agricultural Water Management","volume":"313 ","pages":"Article 109477"},"PeriodicalIF":5.9,"publicationDate":"2025-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143848538","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-04-19DOI: 10.1016/j.agwat.2025.109496
Yujie Jia , Qiqi Xie , Jiwen Tao , Yixin Chen , Yixuan Qi , Hongying Zhu , Tongliang Bu , Xinyu Zhang , Yirong Xiao , Zhao Chen , Qingfeng Li , Zizhong Tang , Ming Yuan
Fagopyrum tataricum, a nutritionally valuable buckwheat species, is increasingly recognized for its rich flavonoid content. However, its cultivation faces mounting challenges due to drought stress, a problem exacerbated by global climate change. While endophytic fungi have demonstrated potential in enhancing plant drought resistance, their application in F. tataricum and the underlying mechanisms remain underexplored. In this study, two endophytic fungal strains, Botryosphaeria dothidea J46 and Irpex lacteus J79, were isolated and screened for their drought-resistance-promoting effects in F. tataricum. Pot experiments demonstrated successful root colonization of F. tataricum by inoculating these strains under drought conditions. Both Botryosphaeria dothidea J46 and Irpex lacteus J79 promoted root growth, increasing the fresh weight of F. tataricum roots by 49.94 % and 48.80 %, respectively. The content of flavonoids, an important bioactive compound in F. tataricum, was also enhanced. J46 and J79 increased flavonoid content in the leaves of F. tataricum by 28.39 % and 19.54 %, respectively, and in the seeds by 17.79 % and 14.06 %, respectively. Metabolite analysis revealed elevated levels of osmotic regulatory substances and antioxidants, while photosynthetic inhibition caused by drought stress was effectively alleviated upon fungal inoculation. Integrated metabolomic and transcriptomic analyses revealed distinct mechanisms of action for the two strains: B. dothidea J46 upregulated key genes in the flavonoid biosynthesis pathway, including Cinnamate-4-hydroxylase (C4H), Chalcone synthase (CHS), and Chalcone isomerase (CHI), whereas I. lacteus J79 enhanced the expression of genes associated with photosynthesis. Specifically, B. dothidea J46 promotes the plant’s drought resistance by enhancing the expression of genes in the flavonoid biosynthesis pathway, while I. lacteus J79 improves the plant’s photosynthetic efficiency under drought conditions by increasing the activity of genes associated with photosynthesis. Future research will focus on exploring the combined effects of multiple fungal strains, conducting field trials to assess practical applicability, and further elucidating the metabolic pathways involved. This study provides critical insights into the metabolic and molecular mechanisms underlying endophyte-mediated drought resistance, offering a foundation for the development of microbial agents to support the sustainable cultivation of F. tataricum under water-limited conditions.
{"title":"Endophytic fungi enhance drought tolerance in Fagopyrum tataricum: Insights into flavonoid biosynthesis and photosynthetic pathways","authors":"Yujie Jia , Qiqi Xie , Jiwen Tao , Yixin Chen , Yixuan Qi , Hongying Zhu , Tongliang Bu , Xinyu Zhang , Yirong Xiao , Zhao Chen , Qingfeng Li , Zizhong Tang , Ming Yuan","doi":"10.1016/j.agwat.2025.109496","DOIUrl":"10.1016/j.agwat.2025.109496","url":null,"abstract":"<div><div><em>Fagopyrum tataricum</em>, a nutritionally valuable buckwheat species, is increasingly recognized for its rich flavonoid content. However, its cultivation faces mounting challenges due to drought stress, a problem exacerbated by global climate change. While endophytic fungi have demonstrated potential in enhancing plant drought resistance, their application in <em>F. tataricum</em> and the underlying mechanisms remain underexplored. In this study, two endophytic fungal strains, <em>Botryosphaeria dothidea</em> J46 and <em>Irpex lacteus</em> J79, were isolated and screened for their drought-resistance-promoting effects in <em>F. tataricum</em>. Pot experiments demonstrated successful root colonization of <em>F. tataricum</em> by inoculating these strains under drought conditions. Both <em>Botryosphaeria dothidea</em> J46 and <em>Irpex lacteus</em> J79 promoted root growth, increasing the fresh weight of <em>F. tataricum</em> roots by 49.94 % and 48.80 %, respectively. The content of flavonoids, an important bioactive compound in <em>F. tataricum</em>, was also enhanced. J46 and J79 increased flavonoid content in the leaves of <em>F. tataricum</em> by 28.39 % and 19.54 %, respectively, and in the seeds by 17.79 % and 14.06 %, respectively. Metabolite analysis revealed elevated levels of osmotic regulatory substances and antioxidants, while photosynthetic inhibition caused by drought stress was effectively alleviated upon fungal inoculation. Integrated metabolomic and transcriptomic analyses revealed distinct mechanisms of action for the two strains: <em>B. dothidea</em> J46 upregulated key genes in the flavonoid biosynthesis pathway, including Cinnamate-4-hydroxylase (C4H), Chalcone synthase (CHS), and Chalcone isomerase (CHI), whereas <em>I. lacteus</em> J79 enhanced the expression of genes associated with photosynthesis. Specifically, <em>B. dothidea</em> J46 promotes the plant’s drought resistance by enhancing the expression of genes in the flavonoid biosynthesis pathway, while <em>I. lacteus</em> J79 improves the plant’s photosynthetic efficiency under drought conditions by increasing the activity of genes associated with photosynthesis. Future research will focus on exploring the combined effects of multiple fungal strains, conducting field trials to assess practical applicability, and further elucidating the metabolic pathways involved. This study provides critical insights into the metabolic and molecular mechanisms underlying endophyte-mediated drought resistance, offering a foundation for the development of microbial agents to support the sustainable cultivation of F. tataricum under water-limited conditions.</div></div>","PeriodicalId":7634,"journal":{"name":"Agricultural Water Management","volume":"313 ","pages":"Article 109496"},"PeriodicalIF":5.9,"publicationDate":"2025-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143850869","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-04-16DOI: 10.1016/j.agwat.2025.109490
Ikenna Onyekwelu , Sam Zipper , Stephen Welch , Vaishali Sharda
Producers east of the 100th meridian, a historically wetter portion of the Great Plains, face uncertainties regarding yield, irrigation water use, water productivity, and net returns due to the impacts of climate change in the region. These climate change impacts are spatially variable with a heterogeneous response to environmental variability and different water management techniques. Therefore, the present study addresses climate change impacts on irrigated maize productivity in the Eastern Kansas River Basin of the Great Plains at a fine spatial scale using Shawnee County, Kansas as a case study. We incorporated spatially variable soils and grid-level historical and future climate scenarios under different irrigation management strategies as inputs to CERES-Maize crop model. Our model validations closely matched observed yield and irrigation water use, with index of agreement values exceeding 0.85. Future climate projections (RCPs 4.5 and 8.5) were analyzed across three 25-year periods (2025–2049, 2050–2074, and 2075–2099) relative to historical conditions (1991–2015). Results showed yield declines of 21–38 % and 22–70 % (RCPs 4.5 and 8.5, respectively) due to shortened growing season length. Irrigation water use under full allocation increased by 9–23 %, while net returns declined significantly, resulting in significant decline in water productivity. We found that deficit irrigation strategies saved 3–15 % of water without further diminishing maize productivity. These findings highlight the importance of fine scale climate impact analysis of crop productivity. Future maize production in the region necessitates integrating yield-advancing cultivars with improved water management found in this study in order to meet the expected grain demand over the next decades.
{"title":"Quantifying future climate impacts on maize productivity under different irrigation management strategies: A high-resolution spatial analysis in the U.S. Great Plains","authors":"Ikenna Onyekwelu , Sam Zipper , Stephen Welch , Vaishali Sharda","doi":"10.1016/j.agwat.2025.109490","DOIUrl":"10.1016/j.agwat.2025.109490","url":null,"abstract":"<div><div>Producers east of the 100th meridian, a historically wetter portion of the Great Plains, face uncertainties regarding yield, irrigation water use, water productivity, and net returns due to the impacts of climate change in the region. These climate change impacts are spatially variable with a heterogeneous response to environmental variability and different water management techniques. Therefore, the present study addresses climate change impacts on irrigated maize productivity in the Eastern Kansas River Basin of the Great Plains at a fine spatial scale using Shawnee County, Kansas as a case study. We incorporated spatially variable soils and grid-level historical and future climate scenarios under different irrigation management strategies as inputs to CERES-Maize crop model. Our model validations closely matched observed yield and irrigation water use, with index of agreement values exceeding 0.85. Future climate projections (RCPs 4.5 and 8.5) were analyzed across three 25-year periods (2025–2049, 2050–2074, and 2075–2099) relative to historical conditions (1991–2015). Results showed yield declines of 21–38 % and 22–70 % (RCPs 4.5 and 8.5, respectively) due to shortened growing season length. Irrigation water use under full allocation increased by 9–23 %, while net returns declined significantly, resulting in significant decline in water productivity. We found that deficit irrigation strategies saved 3–15 % of water without further diminishing maize productivity. These findings highlight the importance of fine scale climate impact analysis of crop productivity. Future maize production in the region necessitates integrating yield-advancing cultivars with improved water management found in this study in order to meet the expected grain demand over the next decades.</div></div>","PeriodicalId":7634,"journal":{"name":"Agricultural Water Management","volume":"313 ","pages":"Article 109490"},"PeriodicalIF":5.9,"publicationDate":"2025-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143834035","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-04-16DOI: 10.1016/j.agwat.2025.109478
Moslem Savari , Mohammadamin Ghezi , Homa Molavi
Farmers play a crucial role in the implementation of sustainable agricultural policies. Their decisions not only directly impact the success of these programs but also contribute significantly to preserving natural resources and protecting the environment. Analyzing farmers’ decisions to shift rice cultivation methods from transplanting in flooded fields to the water-saving and efficient approach of dry direct-seeded rice (DDSR) reveals various influencing factors. Understanding these factors is crucial for identifying the pathways to sustainable agriculture and enabling policymakers and researchers to design more effective and practical programs. In this study, the decision-making process of farmers was analyzed using a combination of two theoretical frameworks: social capital and the theory of planned behavior (TPB). The statistical population comprised all farmers in Shushtar County, located in southwestern Iran, who practice rice cultivation through the flooded method. The results showed that the designed framework was effective, and the research variables explained 75.6 % of farmers' willingness in this regard. The research revealed that social capital elements (social norms, networks, and trust) significantly impacted the key variables in the TPB related to DDSR adoption. The study's conclusions offer valuable perspectives for policymakers seeking to advance sustainable rice production strategies.
{"title":"Social capital and behavioral response to water scarcity: Sustainable agriculture policies pathways for adopting dry direct-seeded rice","authors":"Moslem Savari , Mohammadamin Ghezi , Homa Molavi","doi":"10.1016/j.agwat.2025.109478","DOIUrl":"10.1016/j.agwat.2025.109478","url":null,"abstract":"<div><div>Farmers play a crucial role in the implementation of sustainable agricultural policies. Their decisions not only directly impact the success of these programs but also contribute significantly to preserving natural resources and protecting the environment. Analyzing farmers’ decisions to shift rice cultivation methods from transplanting in flooded fields to the water-saving and efficient approach of dry direct-seeded rice (DDSR) reveals various influencing factors. Understanding these factors is crucial for identifying the pathways to sustainable agriculture and enabling policymakers and researchers to design more effective and practical programs. In this study, the decision-making process of farmers was analyzed using a combination of two theoretical frameworks: social capital and the theory of planned behavior (TPB). The statistical population comprised all farmers in Shushtar County, located in southwestern Iran, who practice rice cultivation through the flooded method. The results showed that the designed framework was effective, and the research variables explained 75.6 % of farmers' willingness in this regard. The research revealed that social capital elements (social norms, networks, and trust) significantly impacted the key variables in the TPB related to DDSR adoption. The study's conclusions offer valuable perspectives for policymakers seeking to advance sustainable rice production strategies.</div></div>","PeriodicalId":7634,"journal":{"name":"Agricultural Water Management","volume":"313 ","pages":"Article 109478"},"PeriodicalIF":5.9,"publicationDate":"2025-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143834126","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-04-16DOI: 10.1016/j.agwat.2025.109471
Shuangshuang Zi , Yan Li , Jingwen Zhang , Chengcheng Hou , Huiqing Lin , Zhengjie Xu , Shan Sang , Jinwei Dong , Bojie Fu
Irrigation is critical for food production, especially in arid and semi-arid regions, and it has complex and interactive effects on local climate, evapotranspiration, and crop growth. Here, we used satellite remote sensing data and statistical models to quantify the biophysical effects of irrigation on land surface temperature (LST), evapotranspiration (ET), crop greenness, and crop yield effects and their spatiotemporal changes in China’s drylands. Results show that during 2001–2012, irrigation in China's drylands led to a significant cooling in daytime LST (-0.52 °C), a weak cooling in nighttime LST (-0.14 °C), and increases in ET (+0.16 mm/d), crop greenness (+0.02) and maize yields (+3.4 ton/ha; 55 %) compared with rainfed croplands. The spatial variations of these irrigation effects were in synergy, driven by irrigation water use and climate conditions, with greater effects in the dry regions with higher irrigation intensity. Temporally, the irrigation cooling effects gradually weakened from 2001 to 2020 (0.08 °C), while the enhanced effects on ET (+0.062 mm/d), crop greenness (+0.006) and maize yields (+720 kg/ha) were still increasing. These divergent changes were mainly driven by declined irrigation water use and increased irrigation water productivity due to adopting water-saving irrigation technologies. This study improves our understanding of the irrigation effects and their responses to changing irrigation practices and climate in water-limited regions.
{"title":"The biophysical and crop yield effects of irrigation and their changes in China’s drylands","authors":"Shuangshuang Zi , Yan Li , Jingwen Zhang , Chengcheng Hou , Huiqing Lin , Zhengjie Xu , Shan Sang , Jinwei Dong , Bojie Fu","doi":"10.1016/j.agwat.2025.109471","DOIUrl":"10.1016/j.agwat.2025.109471","url":null,"abstract":"<div><div>Irrigation is critical for food production, especially in arid and semi-arid regions, and it has complex and interactive effects on local climate, evapotranspiration, and crop growth. Here, we used satellite remote sensing data and statistical models to quantify the biophysical effects of irrigation on land surface temperature (LST), evapotranspiration (ET), crop greenness, and crop yield effects and their spatiotemporal changes in China’s drylands. Results show that during 2001–2012, irrigation in China's drylands led to a significant cooling in daytime LST (-0.52 °C), a weak cooling in nighttime LST (-0.14 °C), and increases in ET (+0.16 mm/d), crop greenness (+0.02) and maize yields (+3.4 ton/ha; 55 %) compared with rainfed croplands. The spatial variations of these irrigation effects were in synergy, driven by irrigation water use and climate conditions, with greater effects in the dry regions with higher irrigation intensity. Temporally, the irrigation cooling effects gradually weakened from 2001 to 2020 (0.08 °C), while the enhanced effects on ET (+0.062 mm/d), crop greenness (+0.006) and maize yields (+720 kg/ha) were still increasing. These divergent changes were mainly driven by declined irrigation water use and increased irrigation water productivity due to adopting water-saving irrigation technologies. This study improves our understanding of the irrigation effects and their responses to changing irrigation practices and climate in water-limited regions.</div></div>","PeriodicalId":7634,"journal":{"name":"Agricultural Water Management","volume":"313 ","pages":"Article 109471"},"PeriodicalIF":5.9,"publicationDate":"2025-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143834129","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Despite Lake Urmia being an international wetland with ecological, social, and economic value in the area, evidence indicates that its desiccation and degradation have seriously compromised this watershed during the past two decades. In this regard, human elements—particularly cognitive biases—significantly prevent farmers from participating in water conservation initiatives. Accordingly, this study investigated how cognitive biases influence the farmers' participatory water conservation behaviors (PWCBs) in the Lake Urmia basin. To achieve this, the study employed an established socio-psychological theory—Social Norms Theory (SNT)—which has rarely been applied to investigate pro-environmental behaviors (PEBs). A questionnaire survey was distributed amongst 665 farmers within the Lake Urmia basin. The results of the survey indicated that the average age of the farmers was 44.4 years; the mean cultivated land area was 5.5 ha and the average number of land plots was 3.4. Also, the results showed while the extent of PWCBs varied among farmers, most have never engaged in PEBs or have rarely done so. Moreover, the results of the structural equation modeling (SEM) showed that pluralistic ignorance (PI), fundamental attribution error (FAE), false consensus effect (FCE), and bystander effect (BE) exerted statistically significant negative impacts on the PWCB variable. These variables might help explain approximately 61 % of PWCB's variances. Also, the results showed while the extent of PWCBs varied among farmers, most have never engaged in PEBs or have rarely done so. Most importantly, the findings confirmed the validity and usefulness of SNT for predicting PEBs, including PWCB. The study applied and tested SNT in a novel setting (i.e., water-saving behavior), broadening the current empirical and theoretical knowledge on PEBs. Furthermore, this study sheds important light on the design and implementation of suitable and pragmatic solutions that increase farmers' involvement in water conservation practices, thereby helping to support the rehabilitation of Lake Urmia.
{"title":"How do cognitive biases influence farmers' participation in water conservation at Lake Urmia? Insights from social norms theory","authors":"Davood Amin Fanak , Rohollah Rezaei , Mukhtar Hashemi","doi":"10.1016/j.agwat.2025.109476","DOIUrl":"10.1016/j.agwat.2025.109476","url":null,"abstract":"<div><div>Despite Lake Urmia being an international wetland with ecological, social, and economic value in the area, evidence indicates that its desiccation and degradation have seriously compromised this watershed during the past two decades. In this regard, human elements—particularly cognitive biases—significantly prevent farmers from participating in water conservation initiatives. Accordingly, this study investigated how cognitive biases influence the farmers' participatory water conservation behaviors (PWCBs) in the Lake Urmia basin. To achieve this, the study employed an established socio-psychological theory—Social Norms Theory (SNT)—which has rarely been applied to investigate pro-environmental behaviors (PEBs). A questionnaire survey was distributed amongst 665 farmers within the Lake Urmia basin. The results of the survey indicated that the average age of the farmers was 44.4 years; the mean cultivated land area was 5.5 ha and the average number of land plots was 3.4. Also, the results showed while the extent of PWCBs varied among farmers, most have never engaged in PEBs or have rarely done so. Moreover, the results of the structural equation modeling (SEM) showed that pluralistic ignorance (PI), fundamental attribution error (FAE), false consensus effect (FCE), and bystander effect (BE) exerted statistically significant negative impacts on the PWCB variable. These variables might help explain approximately 61 % of PWCB's variances. Also, the results showed while the extent of PWCBs varied among farmers, most have never engaged in PEBs or have rarely done so. Most importantly, the findings confirmed the validity and usefulness of SNT for predicting PEBs, including PWCB. The study applied and tested SNT in a novel setting (i.e., water-saving behavior), broadening the current empirical and theoretical knowledge on PEBs. Furthermore, this study sheds important light on the design and implementation of suitable and pragmatic solutions that increase farmers' involvement in water conservation practices, thereby helping to support the rehabilitation of Lake Urmia.</div></div>","PeriodicalId":7634,"journal":{"name":"Agricultural Water Management","volume":"313 ","pages":"Article 109476"},"PeriodicalIF":5.9,"publicationDate":"2025-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143828201","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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