Details zur Publikation

Kategorie Textpublikation
Referenztyp Zeitschriften
DOI 10.1038/s41597-024-04023-3
Lizenz creative commons licence
Titel (primär) Assessing temporal dynamics of nitrogen surplus in Indian agriculture: district scale data from 1966 to 2017
Autor Goyal, S.S.; Kumar, R. ORCID logo ; Bhatia, U.
Quelle Scientific Data
Erscheinungsjahr 2024
Department CHS
Band/Volume 11
Seite von art. 1191
Sprache englisch
Topic T5 Future Landscapes
Daten-/Softwarelinks https://doi.org/10.5281/zenodo.13838035
Supplements https://static-content.springer.com/esm/art%3A10.1038%2Fs41597-024-04023-3/MediaObjects/41597_2024_4023_MOESM1_ESM.pdf
Abstract Nitrogen (N) is essential for agricultural productivity, yet its surplus poses significant environmental risks. Currently, over half of applied nitrogen is lost, resulting in resource wastage, contributing to increased greenhouse gas emissions and biodiversity loss. Excess nitrogen persists in the environment, contaminating soil and water bodies for decades. Quantifying detailed historical N-surplus estimation in India remains limited, despite national and global-scaled assessments. Our study develops a district-level dataset of annual agricultural N-surplus from 1966-2017, integrating 12 different estimates to address uncertainties arising from multiple data sources and methodological choices across major elements of the N surplus. This dataset supports flexible spatial aggregation, aiding policymakers in implementing effective nitrogen management strategies in India. In addition, we verified our estimates by comparing them with previous studies. This work underscores the importance of setting realistic nitrogen management targets that account for inherent uncertainties, paving the way for sustainable agricultural practices in India, reducing environmental impacts, and boosting productivity.
dauerhafte UFZ-Verlinkung https://www.ufz.de/index.php?en=20939&ufzPublicationIdentifier=29945
Goyal, S.S., Kumar, R., Bhatia, U. (2024):
Assessing temporal dynamics of nitrogen surplus in Indian agriculture: district scale data from 1966 to 2017
Sci. Data 11 , art. 1191 10.1038/s41597-024-04023-3