Agricultural Water Management最新文献

{"title":"Seasonal soil water status, non-growing season percolation and nitrate leaching under experimentally redistributed precipitation in surface drip-irrigated onion on sandy loam: A three-year lysimeter study","authors":"Nadine Schmidt, Jana Zinkernagel","doi":"10.1016/j.agwat.2026.110654","DOIUrl":"https://doi.org/10.1016/j.agwat.2026.110654","url":null,"abstract":"Climate projections indicate a shift in rainfall seasonality towards drier summers and wetter winters, potentially altering crop water demand and the nitrate-leaching risk. This study quantified effects of experimentally imposed precipitation redistribution on water balance, soil water status, percolation, and nitrate leaching in a drip-irrigated onion cropping system on sandy loam. A three-year lysimeter experiment (2011–2013) imposed four precipitation-redistribution treatments by excluding ambient rainfall and reallocating 0, 10, 20, or 40% of May–August precipitation to September–April, while maintaining identical annual totals. Soil matric potential was monitored at 0.1, 0.3, and 0.5 m; percolation, nitrate leaching, yield, and nitrogen uptake were measured across 16 lysimeters. Precipitation redistribution altered cultivation period water input and evapotranspiration despite irrigation buffering. Non-growing season percolation increased significantly with redistribution intensity (+14 to +69 mm; p &lt; 0.001). Nitrate leaching increased only under the strongest treatment (+23 kg N ha⁻¹; p &lt; 0.001), with loads strongly correlated to percolation volume (β = 0.33 kg N ha⁻¹ mm⁻¹). Depth-resolved soil matric potential characterized end-of-season soil hydraulic states, with ψ<ce:inf loc=\"post\">m</ce:inf> at 0.5 m associated with percolation onset timing and ψ<ce:inf loc=\"post\">m</ce:inf> at 0.3 m associated with early non-growing season percolation accumulation, while total non-growing season percolation remained dominated by the imposed precipitation redistribution. Yield declined under stronger redistribution, though the 10% shift showed no consistent yield effect. Year-specific atmospheric demand modulated in-season water use and crop responses, whereas treatment effects on non-growing season percolation were consistent across years. Together, these results indicate that nitrate-leaching risk in irrigated coarse-textured soils emerged from the interaction between precipitation timing, irrigation-mediated crop–soil responses, and redistribution-driven non-growing season percolation rather than from annual precipitation totals alone.","PeriodicalId":7634,"journal":{"name":"Agricultural Water Management","volume":"43 1","pages":""},"PeriodicalIF":6.7,"publicationDate":"2026-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148691328","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}

{"title":"Can increasing farmers' awareness improve soil and water phosphorus status? Insights from a 'real-life' policy process","authors":"Julia Martin-Ortega, Cheng Wen, Pippa J. Chapman, Paula Novo, Alex Higgins, Phil Jordan, Rachel Cassidy","doi":"10.1016/j.agwat.2026.110645","DOIUrl":"https://doi.org/10.1016/j.agwat.2026.110645","url":null,"abstract":"Addressing diffuse agricultural water pollution is central to ensuring food security while halting ecosystem degradation. Awareness-focused approaches attempting to prompt adoption of best farming practices to reduce negative impact on water quality are being increasingly implemented. This interdisciplinary study explores this awareness―behavioural change―water quality pathway <ce:italic>in full</ce:italic> and <ce:italic>over time.</ce:italic> We do so in the context of a ‘real-life’ active policy process, combining farmers’ survey data one and four years after the inception of a government nutrient management programme in Northern Ireland, with soil and river water phosphorus analyses at the sub-catchment level. Our results suggest that increased awareness and changes in farm practices can be sustained over time, but whether they translate to reductions in soil and water phosphorus (thus completing the pathway in full), critically depends on the provision of tailored one-to-one advice. The recommendation that stems from this is that future agri-environment policies should include tailored and context specific advice in addition to the generic one. Our research also provides insights into the operationality of post-normal interdisciplinary science applied to wicked problems, illustrating the need to adjust methods and approaches in ways that produce robust science within the possibility of the policy context, even if this means accepting ‘imperfect’ experimental designs. Acknowledging that the particular changes observed in our case might be specific to Northern Ireland, two lessons are of broader relevance: 1) discussions on agricultural system transformation should include considerations on how to deliver tailored advice at scale; and 2) further disentanglement of the full impact pathway from increasing farmers awareness to mitigating enviromental impacts from agriculture requires the integration of social sciences from the outset of policy programmes' design, rather than being incorporated only as retrospective research.","PeriodicalId":7634,"journal":{"name":"Agricultural Water Management","volume":"300 1","pages":""},"PeriodicalIF":6.7,"publicationDate":"2026-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148691336","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}

{"title":"Estimation of cotton plant moisture content using UAV multimodal data and machine learning","authors":"Zhenyang Wang, Caixia Yin, Siyuan Chen, Hao Zhang, Maoguang Chen, Tao Lin, Qiuxiang Tang","doi":"10.1016/j.agwat.2026.110608","DOIUrl":"https://doi.org/10.1016/j.agwat.2026.110608","url":null,"abstract":"Accurate monitoring of cotton plant moisture content (PMC) is crucial for guiding irrigation practices. To address the limited capacity of single-source remote sensing data to characterize the water status of cotton plants, as well as the lack of quantitative reference values for suitable PMC levels at different growth stages, this study constructed a cotton PMC estimation model based on multimodal UAV remote sensing data. Furthermore, the suitable reference levels of PMC at different growth stages were investigated according to the response relationship between PMC and yield at each growth stage. Five soil moisture gradients were established, and at each growth stage, fresh and dry weights of cotton shoots were measured to calculate the PMC. A UAV platform equipped with multiple sensors was used to collect visible-light (RGB), multispectral (MS), and thermal infrared (TIR) images of the cotton canopy. Three feature selection methods were employed to identify moisture-sensitive parameters: Pearson correlation analysis, principal component analysis (PCA) for dimensionality reduction, and recursive feature elimination (RFE). Using the selected parameters, four machine learning algorithms, AdaBoost, random forest (RF), CatBoost, and k-nearest neighbors (KNN), were applied to construct and validate PMC estimation models. The suitable PMC levels at different growth stages were identified based on the response relationship between measured PMC and yield under different water gradients. The results showed that the RFE feature selection method identified eight water-sensitive parameters, and the CatBoost model integrating multimodal data performed best, with R² and RMSE reaching 0.807 and 0.033%, respectively, on the test set, providing a reliable method for high-resolution spatial mapping of field-scale PMC. On this basis, the response of yield to PMC was analyzed, revealing that when PMC was maintained at 83.8%, 85.9%, 79.3%, 78.0%, and 67.7% at the bud, initial flowering, peak flowering, peak boll-setting, and boll opening stages, respectively, the theoretical maximum yield of 6579–6667 kg/hm² could be achieved. This study realized high-precision remote sensing monitoring of PMC and further explored the appropriate moisture content thresholds for different growth stages, providing a quantitative reference for precision water regulation in cotton fields.","PeriodicalId":7634,"journal":{"name":"Agricultural Water Management","volume":"158 1","pages":""},"PeriodicalIF":6.7,"publicationDate":"2026-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148691337","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}

{"title":"Simulation of crop water use of drip-irrigated summer soybean using the SIMDual_Kc model: A case study from Southern Xinjiang, China","authors":"Yangsong Xiao, Qifeng Wu, Fuchang Jiang, Yi Li, Zhaoxu Han, Baoqin Jiao, Guodong Wang, Shoutian Ma, Xingpeng Wang","doi":"10.1016/j.agwat.2026.110627","DOIUrl":"https://doi.org/10.1016/j.agwat.2026.110627","url":null,"abstract":"","PeriodicalId":7634,"journal":{"name":"Agricultural Water Management","volume":"33 1","pages":""},"PeriodicalIF":6.7,"publicationDate":"2026-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148460390","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}

{"title":"Corrigendum to “A hydro-agro-economic analysis of sustainable water and salt management in an arid irrigation district” [Agric. Water Manage. 333 (2026) 110603]","authors":"Yunlu Ma, Tingju Zhu, Zhaodan Cao, Yuhan Yan, Ximing Cai","doi":"10.1016/j.agwat.2026.110638","DOIUrl":"https://doi.org/10.1016/j.agwat.2026.110638","url":null,"abstract":"","PeriodicalId":7634,"journal":{"name":"Agricultural Water Management","volume":"49 1","pages":""},"PeriodicalIF":6.7,"publicationDate":"2026-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148460407","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}

{"title":"Internet of Things-enabled smart irrigation systems for precision water management: A systematic review","authors":"Ahmed Moustafa, Ossama M.M. Abdelwahab, Giovanni Francesco Ricci, Francesco Gentile","doi":"10.1016/j.agwat.2026.110615","DOIUrl":"https://doi.org/10.1016/j.agwat.2026.110615","url":null,"abstract":"Global agriculture faces unprecedented water scarcity challenges, with irrigation accounting for approximately 70% of freshwater withdrawals worldwide. Smart irrigation technologies integrating Internet of Things (IoT), wireless sensor networks (WSN), and decision support systems (DSS) offer promising solutions for optimizing water use efficiency while maintaining crop productivity.","PeriodicalId":7634,"journal":{"name":"Agricultural Water Management","volume":"228 1","pages":""},"PeriodicalIF":6.7,"publicationDate":"2026-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148402558","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}

{"title":"Corrigendum to “Assessment of planting date adjustments on irrigation water demand under future climate change scenarios in Taiwan” [Agric. Water Manag. 332 (2026) 110515]","authors":"Amba Shalishe Shanka, Yi-Ying Chen, Shang-Ji Wang, Yi-Sen Peng, Chih-Feng Chiang","doi":"10.1016/j.agwat.2026.110614","DOIUrl":"https://doi.org/10.1016/j.agwat.2026.110614","url":null,"abstract":"","PeriodicalId":7634,"journal":{"name":"Agricultural Water Management","volume":"197 1","pages":""},"PeriodicalIF":6.7,"publicationDate":"2026-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148384921","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}

{"title":"Corrigendum to “The sensitivity of shallow-groundwater grasslands to changes in climate and groundwater management” [Agric. Water Manag., 332 (2026) 110479]","authors":"Valeh Khaledi, Ahsan Raza, Franziska Taubert, Michael Berg-Mohnicke, Bahareh Kamali, Ottfried Dietrich, Christoph Merz, Claas Nendel","doi":"10.1016/j.agwat.2026.110584","DOIUrl":"https://doi.org/10.1016/j.agwat.2026.110584","url":null,"abstract":"","PeriodicalId":7634,"journal":{"name":"Agricultural Water Management","volume":"36 1","pages":""},"PeriodicalIF":6.7,"publicationDate":"2026-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148384931","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}

{"title":"Corrigendum to “Determination of irrigation water use from multiple soil moisture observations at a fine spatial resolution: Preferred model optimization and fusion strategy” [Agric. Water Manag. 326 (2026) 110232]","authors":"Qiu-Yu Yan,&nbsp;Shuangxue Zhai,&nbsp;Pei Leng,&nbsp;Chunfeng Ma,&nbsp;Abba Aliyu Kasim,&nbsp;Seokhyeon Kim,&nbsp;Qian-Yu Liao,&nbsp;Tian Ma,&nbsp;Yun-Jing Geng,&nbsp;Shiyuan Fu,&nbsp;Muhannad Adnan Siddique,&nbsp;Yayong Sun,&nbsp;Jianwei Ma,&nbsp;Zhao-Liang Li","doi":"10.1016/j.agwat.2026.110541","DOIUrl":"10.1016/j.agwat.2026.110541","url":null,"abstract":"","PeriodicalId":7634,"journal":{"name":"Agricultural Water Management","volume":"332 ","pages":"Article 110541"},"PeriodicalIF":7.8,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148288744","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Corrigendum to “Does irrigation modernization enhance drought performance? Evidence from a qualitative comparative analysis” [Agric. Water Manag. 328 (2026) 1–16]","authors":"Patrick Hoffmann,&nbsp;Sergio Villamayor-Tomas","doi":"10.1016/j.agwat.2026.110530","DOIUrl":"10.1016/j.agwat.2026.110530","url":null,"abstract":"","PeriodicalId":7634,"journal":{"name":"Agricultural Water Management","volume":"332 ","pages":"Article 110530"},"PeriodicalIF":7.8,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148290401","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}