Abstract
Diffuse Nitrogen pollution from agriculture maintains high pressures on groundwater and aquatic ecosystems. Further mitigation requires targeted measures that reconcile agricultural interests in environmental protection. However, the agriculture-related processes of catchment N modeling remain poorly defined due to discipline-specific data and knowledge gaps. Using field-experimental data, crop N uptake responses to fertilizer management were parsimoniously conceptualized and integrated into a catchment diffuse-N model. The improved catchment modeling further facilitated integration with agricultural budget-based assessments. The integrated analysis in a mesoscale catchment disentangled contrasting agri-environment functional mechanisms in typically flashy chemodynamic and transport-limited chemostatic export regimes. Moreover, the former was actively responsive to interannual climatic variability and agricultural practices; the latter exhibited drought-induced enhancement of N enrichment, which could likely be mitigated through reduced fertilization. This interdisciplinary integration of data and methods provided an insightful evidence base for multi-sector targeted measures, especially under cumulative impacts of changing climate and fertilizer-use intensities.
Original language | English |
---|---|
Article number | e2021GL096833 |
Number of pages | 11 |
Journal | Geophysical Research Letters |
Volume | 49 |
Issue number | 4 |
Early online date | 23 Feb 2022 |
DOIs | |
Publication status | Published - 28 Feb 2022 |
Bibliographical note
Funding Information:The work is supported by the TERENO and MOSES projects, Helmholtz Association. The authors highly acknowledge the data from the Extended Static Fertilization Experiment at Bad Lauchst?dt and the State Institute for Agriculture and Horticulture Saxony-Anhalt. The authors also thank the German Weather Service, the Federal Institute for Geosciences and Natural Resources and the State Agency for Flood Protection and Water Management Saxony-Anhalt for the model setup data. The authors thank the Editor Harihar Rajaram and two anonymous reviewers for their constructive comments. Open access funding enabled and organized by Projekt DEAL.
Data Availability Statement
The data used are available at https://doi.org/10.48758/ufz.12211. The mHM-Nitrate model code is available at https://doi.org/10.5281/zenodo.3891629.Keywords
- climatic variability
- crop N uptake conceptualization
- fertilization experimental data
- fully distributed catchment modeling
- integrated agri-environment functioning
- targeted mitigation measures
Fingerprint
Dive into the research topics of 'Functional Multi-Scale Integration of Agricultural Nitrogen-Budgets Into Catchment Water Quality Modeling'. Together they form a unique fingerprint.Datasets
-
Crop N-uptake responses to fertilization and its upscaling for catchment water quality modeling
Soulsby, C. (Contributor), Helmholtz-Centre for Environmental Research , 21 Jan 2022
DOI: https://doi.org/10.48758/ufz.12211
Dataset