Modelling nutrient dynamics in cold agricultural catchments: A review. (February 2020)

• Record Type: Journal Article
• Authors: Costa, Diogo; Baulch, Helen; Elliott, Jane; Pomeroy, John; Wheater, Howard
• Is Part Of: Environmental modelling & software. Volume 124(2020)
• Publication Date: 2020-02
• Subjects: Seasonal snow cover -- Nutrient transport -- Cold region processes -- Hydrological controls -- Catchment models; Environmental monitoring -- Computer programs -- Periodicals; Ecology -- Computer simulation -- Periodicals; Digital computer simulation -- Periodicals; Computer software -- Periodicals; Environmental Monitoring -- Periodicals; Computer Simulation -- Periodicals; Environnement -- Surveillance -- Logiciels -- Périodiques; Écologie -- Simulation, Méthodes de -- Périodiques; Simulation par ordinateur -- Périodiques; Logiciels -- Périodiques; Computer software; Digital computer simulation; Ecology -- Computer simulation; Environmental monitoring -- Computer programs; Periodicals; Electronic journals; 363.70015118
• DOI: 10.1016/j.envsoft.2019.104586
• Languages: English
• ISSNs: 1364-8152

Abstract

Abstract: The hydrology of cold regions has been studied for decades with substantial progress in process understanding and prediction. Simultaneously, work on nutrient yields from agricultural land in cold regions has shown much slower progress. Advancement of nutrient modelling is constrained by well-documented issues of spatial heterogeneity, climate dependency, data limitations and over-parameterization of models, as well as challenges specific to cold regions due to the complex (and often unknown) behaviour of hydro-biogeochemical processes at temperatures close to and below freezing where a phase change occurs. This review is a critical discussion of these issues by taking a close look at the conceptual models and methods behind used catchment nutrient models. The impact of differences in model structure and the methods used for the prediction of hydrological processes, erosion and biogeochemical cycles are examined. The appropriateness of scale, scope, and complexity of models are discussed to propose future research directions. Highlights: The hydrology in most hydrological-nutrient models are decades behind the science. Meaningful model structures based on observable and transferable parameters are recommended. Many models showed potential inadequacy for heavily stratified soils. The accumulation of soil organic immobile pools needs more attention in models. Suggestions for model selection and recommendations for future directions are provided.