Jason Galloway , Golnaz Ezzati , Daniel Hawtree , Karl Richards , Bridget Lynch , Edward Burgess , Ogjnen Zurovec , Macdara O’Neill , Per-Erik Mellander
{"title":"Using generalized additive models to investigate drivers and controls on stream water nitrate concentrations in four agricultural catchments","authors":"Jason Galloway , Golnaz Ezzati , Daniel Hawtree , Karl Richards , Bridget Lynch , Edward Burgess , Ogjnen Zurovec , Macdara O’Neill , Per-Erik Mellander","doi":"10.1016/j.agwat.2025.109552","DOIUrl":null,"url":null,"abstract":"<div><div>Nitrogen (N) is essential for agricultural production and additional inputs of N-containing mineral or organic fertilizers as part of modern agricultural practice followed by the subsequent loss of surplus N has led to a deterioration in water quality globally. In order to design effective mitigation measures and accurately assess progress towards meeting water quality improvement goals, an understanding of the processes that govern N loss is prerequisite. However, the complexity which governs N cycling in agricultural catchments and the timescales over which they occur make understanding the relative importance of the drivers and controls of N loss challenging. Here, we used an eight-year dataset to investigate stream water nitrate concentrations across four catchments with contrasting characteristics where agriculture accounted for greater than 95 % of the land use. We subdivided each catchment into subcatchments and investigated trends in stream water nitrate concentrations using explanatory variables representing farming intensity, land management, climatic conditions, and soil drainage. We adopted a systematic approach using generalized additive mixed models (GAMM) to capture complex relationships between explanatory variables and nitrate concentrations within each catchment and across all catchments. We found no clear relationship between source N loadings and stream water nitrate concentrations, with the most likely explanation for this being that N cycling in the study sites were transport- and not source-limited. Our results highlighted the key role played by climate and the hydrological characteristics of catchments driving N loss from agricultural catchments. We also found that site specific characteristics mediated the relative importance of the drivers and controls of N losses which suggests that effective mitigation measures should be determined by hydraulic properties of (sub)catchments.</div></div>","PeriodicalId":7634,"journal":{"name":"Agricultural Water Management","volume":"315 ","pages":"Article 109552"},"PeriodicalIF":5.9000,"publicationDate":"2025-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Agricultural Water Management","FirstCategoryId":"97","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0378377425002665","RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"AGRONOMY","Score":null,"Total":0}
引用次数: 0
Abstract
Nitrogen (N) is essential for agricultural production and additional inputs of N-containing mineral or organic fertilizers as part of modern agricultural practice followed by the subsequent loss of surplus N has led to a deterioration in water quality globally. In order to design effective mitigation measures and accurately assess progress towards meeting water quality improvement goals, an understanding of the processes that govern N loss is prerequisite. However, the complexity which governs N cycling in agricultural catchments and the timescales over which they occur make understanding the relative importance of the drivers and controls of N loss challenging. Here, we used an eight-year dataset to investigate stream water nitrate concentrations across four catchments with contrasting characteristics where agriculture accounted for greater than 95 % of the land use. We subdivided each catchment into subcatchments and investigated trends in stream water nitrate concentrations using explanatory variables representing farming intensity, land management, climatic conditions, and soil drainage. We adopted a systematic approach using generalized additive mixed models (GAMM) to capture complex relationships between explanatory variables and nitrate concentrations within each catchment and across all catchments. We found no clear relationship between source N loadings and stream water nitrate concentrations, with the most likely explanation for this being that N cycling in the study sites were transport- and not source-limited. Our results highlighted the key role played by climate and the hydrological characteristics of catchments driving N loss from agricultural catchments. We also found that site specific characteristics mediated the relative importance of the drivers and controls of N losses which suggests that effective mitigation measures should be determined by hydraulic properties of (sub)catchments.
期刊介绍:
Agricultural Water Management publishes papers of international significance relating to the science, economics, and policy of agricultural water management. In all cases, manuscripts must address implications and provide insight regarding agricultural water management.