24 citations as recorded by crossref.

1. Optimal location of set-aside areas to reduce nitrogen pollution: a modelling study L. Casal et al. https://doi.org/10.1017/S0021859618001144
2. Do higher data frequency and Bayesian auto-calibration lead to better model calibration? Insights from an application of INCA-P, a process-based river phosphorus model L. Jackson-Blake & J. Starrfelt https://doi.org/10.1016/j.jhydrol.2015.05.001
3. Reduction of stream nitrate concentrations by land management in contrasted landscapes L. Casal et al. https://doi.org/10.1007/s10705-019-09985-0
4. Modeling the Stream Water Nitrate Dynamics in a 60,000‐km2 European Catchment, the Garonne, Southwest France C. Tisseuil et al. https://doi.org/10.2134/jeq2007.0507
5. Agro-hydrology and multi-temporal high-resolution remote sensing: toward an explicit spatial processes calibration S. Ferrant et al. https://doi.org/10.5194/hess-18-5219-2014
6. Modelling nitrogen fluxes from the land to the coastal zone in European systems: a perspective from the INCA project A. Wade et al. https://doi.org/10.1016/j.jhydrol.2004.07.041
7. Farm nitrogen balances in six European landscapes as an indicator for nitrogen losses and basis for improved management T. Dalgaard et al. https://doi.org/10.5194/bg-9-5303-2012
8. Contribution of livestock farming systems to the nitrogen cascade and consequences for farming regions P. Cellier et al. https://doi.org/10.1017/S2040470014000259
9. Understanding nitrogen transfer dynamics in a small agricultural catchment: Comparison of a distributed (TNT2) and a semi distributed (SWAT) modeling approaches S. Ferrant et al. https://doi.org/10.1016/j.jhydrol.2011.05.026
10. Nitrogen budget for the Oldman River Basin, southern Alberta, Canada L. Rock & B. Mayer https://doi.org/10.1007/s10705-006-9018-x
11. Review of scenario analyses to reduce agricultural nitrogen and phosphorus loading to the aquatic environment F. Hashemi et al. https://doi.org/10.1016/j.scitotenv.2016.08.141
12. Towards nutrient neutrality: A review of agricultural runoff mitigation strategies and the development of a decision-making framework M. Luna Juncal et al. https://doi.org/10.1016/j.scitotenv.2023.162408
13. Natural and anthropogenic sources of salinity in the Awash River and Lake Beseka (Ethiopia): Modelling impacts of climate change and lake-river interactions L. Jin et al. https://doi.org/10.1016/j.ejrh.2021.100865
14. Assessing the effectiveness of actions to mitigate nutrient loss from agriculture: A review of methods K. Cherry et al. https://doi.org/10.1016/j.scitotenv.2008.07.015
15. Modelling spatial dynamics of cropping systems to assess agricultural practices at the catchment scale J. Salmon-Monviola et al. https://doi.org/10.1016/j.compag.2011.10.020
16. Variations of denitrification in a farming catchment area F. Oehler et al. https://doi.org/10.1016/j.agee.2006.10.007
17. Assessing the effect of nutrient mitigation measures in the watersheds of the Southern Bight of the North Sea V. Thieu et al. https://doi.org/10.1016/j.scitotenv.2009.12.031
18. Spatialised fate factors for nitrate in catchments: Modelling approach and implication for LCA results C. Basset-Mens et al. https://doi.org/10.1016/j.scitotenv.2005.12.026
19. Tools for evaluating and regulating nitrogen impacts in livestock farming systems C. Bockstaller et al. https://doi.org/10.1017/S2040470014000284
20. PERSiST: a flexible rainfall-runoff modelling toolkit for use with the INCA family of models M. Futter et al. https://doi.org/10.5194/hess-18-855-2014
21. Modelling the interplay between nitrogen cycling processes and mitigation options in farming catchments P. DURAND et al. https://doi.org/10.1017/S0021859615000258
22. Climate and land-use change impact on faecal indicator bacteria in a temperate maritime catchment (the River Conwy, Wales) G. Bussi et al. https://doi.org/10.1016/j.jhydrol.2017.08.011
23. How well can we model stream phosphorus concentrations in agricultural catchments? L. Jackson-Blake et al. https://doi.org/10.1016/j.envsoft.2014.11.002
24. Cover Crops May Cause Winter Warming in Snow‐Covered Regions D. Lombardozzi et al. https://doi.org/10.1029/2018GL079000