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Published on: March 21, 2016
Models for predicting nitrate leaching and assessing cover crop mitigation: A systematic review.
V Daimonakos1, R Adams2, F E O'Loughlin3
1School of Civil Engineering, University College Dublin, Belfield Dublin 4, D04 V1W8, Ireland; Teagasc, Environment Research Centre, Johnstown Castle, Wexford, Y35 Y521, Ireland; Dooge Centre for Water Resources, University College Dublin, Belfield Dublin 4, D04 V1W8, Ireland.
Selecting the right model to predict nitrate leaching and cover crop mitigation is crucial. This review analyzed ten models, finding no single best option, and proposes a protocol for choosing the most suitable one based on research goals.
Area of Science:
- Agricultural Science
- Environmental Science
- Water Resource Management
Background:
- Nitrate (NO 3 -N) leaching from agriculture poses environmental and health risks.
- Cover crops can mitigate nitrate leaching, but field studies are resource-intensive.
- Model simulations offer a scalable and cost-effective alternative for studying nitrate leaching and mitigation.
Purpose of the Study:
- To systematically review and analyze models for predicting nitrate leaching and simulating cover crop mitigation.
- To assess the usability, efficiency, and simulation capabilities of existing models.
- To provide a framework for selecting the most appropriate model based on specific research needs.
Main Methods:
- Systematic literature review using the PRISMA framework.
- Identification and analysis of ten prominent nitrate leaching models.
- Evaluation of models based on usability, efficiency, mitigation simulation capacity, strengths, and weaknesses.
Main Results:
- SWAT, DNDC, HYDRUS, and APSIM dominate due to flexibility and accessibility, with wide application in Europe, North America, and China.
- No single model excels in all evaluation criteria; performance metrics like NSE, RMSE, and R 2 lack standardized methodologies for comparison.
- Model selection is contingent upon research objectives, resources, and user expertise.
Conclusions:
- A protocol is proposed to guide model selection, prioritizing mechanistic representation of cover crops, scalability, and data/expertise alignment.
- Defining the primary objective (e.g., policy assessment vs. process understanding) is the first step in the selection protocol.
- Informed model selection is essential for effective research on nitrate leaching and cover crop mitigation strategies.
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