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dc.contributor.authorWang, S
dc.contributor.authorZhang, X
dc.contributor.authorWang, C
dc.contributor.authorZhang, X
dc.contributor.authorReis, S
dc.contributor.authorXu, J
dc.contributor.authorGu, B
dc.date.accessioned2020-11-26T23:32:54Z
dc.date.available2020-11-26T23:32:54Z
dc.date.issued2020-11-11
dc.identifierpii: 10.1038/s41597-020-00718-5
dc.identifier.citationWang, S., Zhang, X., Wang, C., Zhang, X., Reis, S., Xu, J. & Gu, B. (2020). A high-resolution map of reactive nitrogen inputs to China. SCIENTIFIC DATA, 7 (1), https://doi.org/10.1038/s41597-020-00718-5.
dc.identifier.issn2052-4463
dc.identifier.urihttp://hdl.handle.net/11343/252264
dc.description.abstractTo feed an increasingly affluent population, reactive nitrogen (Nr) inputs to China's lands and waters have substantially increased over the past century. Today, China's Nr emissions account for over one third of global total emissions, leading to serious environmental pollution and health damages. Quantifying the spatial variability of Nr inputs is crucial for the identification of intervention points to mitigate Nr pollution, which, however, is not well known. Here, we present a database describing Nr inputs to China for the year 2017 with a 1 km × 1 km resolution, considering land use and Nr sources, compiled by using the CHANS model. Results show that the North China Plain, the Sichuan Basin and the Middle-Lower Yangtze River Plain are hotspots of Nr inputs, where per hectare Nr input is an order of magnitude higher than that in other regions. Cropland and surface water bodies receive much higher Nr inputs than other land use types. This unique database will provide basic data for research on environmental health and global change modelling.
dc.languageEnglish
dc.publisherNATURE RESEARCH
dc.rights.urihttps://creativecommons.org/licenses/by/4.0
dc.titleA high-resolution map of reactive nitrogen inputs to China
dc.typeJournal Article
dc.identifier.doi10.1038/s41597-020-00718-5
melbourne.affiliation.departmentVeterinary and Agricultural Sciences
melbourne.source.titleScientific Data
melbourne.source.volume7
melbourne.source.issue1
melbourne.source.pages379-
dc.rights.licenseCC BY
melbourne.elementsid1479453
melbourne.openaccess.pmchttp://www.ncbi.nlm.nih.gov/pmc/articles/PMC7658216
melbourne.contributor.authorGu, Baojing
dc.identifier.eissn2052-4463
melbourne.accessrightsOpen Access


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