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      Global Gridded Nitrogen Indicators: Influence of Crop Maps

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          Abstract

          Displaying Nitrogen (N) indicators on a global grid poses unique opportunities to quantify environmental impacts from N application in different world regions under a variety of conditions. Such calculations require the use of maps showing the geo‐spatial distribution of crop production. Although there are several crop maps in the scientific literature to choose from, the consequences of this choice for the calculation of N indicators still need to be evaluated. In this study we analyze the differences in results for N Use Efficiency (NUE) and N surplus calculated on the global scale using two different crop maps (SPAM and M3). For our calculations we used publicly available statistical and literature data combined with each crop map and carefully traced the origins of the differences in the results. Our results showed that the regions most affected by discrepancies caused by differences in crop maps (yields and physical area) are Central Asia and the Russian Federation, Australia and Oceania, and North Africa. However, we also found that the inclusion or exclusion of grass crops influences the results, as does the aggregation of crops to categories. Considering all these differences, we note that M3 seems to provide the more plausible results for the calculation of N indicators. Our analysis not only highlights the importance of determining the critical parameters for N indicator calculation, but also allows key parameters connected with N use and overuse to be identified on the global scale.

          Key Points

          • Parameters like N surplus and NUE values are highly sensitive to the choice of crop map

          • Assumptions on grass crops also strongly influence N surplus and NUE

          • Least bias in N indicators has been noted when using the M3 crop map

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              Improvements in nitrogen use efficiency in crop production are critical for addressing the triple challenges of food security, environmental degradation and climate change. Such improvements are conditional not only on technological innovation, but also on socio-economic factors that are at present poorly understood. Here we examine historical patterns of agricultural nitrogen-use efficiency and find a broad range of national approaches to agricultural development and related pollution. We analyse examples of nitrogen use and propose targets, by geographic region and crop type, to meet the 2050 global food demand projected by the Food and Agriculture Organization while also meeting the Sustainable Development Goals pertaining to agriculture recently adopted by the United Nations General Assembly. Furthermore, we discuss socio-economic policies and technological innovations that may help achieve them.

                Author and article information

                Contributors
                kalteneg@iiasa.ac.at
                Journal
                Global Biogeochem Cycles
                Global Biogeochem Cycles
                10.1002/(ISSN)1944-9224
                GBC
                Global Biogeochemical Cycles
                John Wiley and Sons Inc. (Hoboken )
                0886-6236
                1944-9224
                07 December 2020
                December 2020
                : 34
                : 12 ( doiID: 10.1002/gbc.v34.12 )
                : e2020GB006634
                Affiliations
                [ 1 ] International Institute for Applied Systems Analysis (IIASA) Laxenburg Austria
                [ 2 ] Institute of Environmental Engineering University of Zielona Góra Zielona Góra Poland
                Author notes
                [*] [* ] Correspondence to:

                K. Kaltenegger,

                kalteneg@ 123456iiasa.ac.at

                Author information
                https://orcid.org/0000-0001-7751-7794
                https://orcid.org/0000-0001-7131-1496
                Article
                GBC21061 2020GB006634
                10.1029/2020GB006634
                7757259
                6412c8d7-fca5-4751-975d-112f4f4b0c9e
                ©2020. The Authors.

                This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

                History
                : 15 April 2020
                : 28 October 2020
                : 12 November 2020
                Page count
                Figures: 7, Tables: 3, Pages: 17, Words: 7337
                Funding
                Funded by: Austrian Science Fund (FWF) , open-funder-registry 10.13039/501100002428;
                Award ID: P29130‐G27
                Categories
                Quantifying Nutrient Budgets For Sustainable Nutrient Management
                Biogeosciences
                Nitrogen Cycling
                Nutrients and Nutrient Cycling
                Biogeochemical Kinetics and Reaction Modeling
                Biogeochemical Cycles, Processes, and Modeling
                Cryosphere
                Biogeochemistry
                Geochemistry
                Marine Geochemistry
                Global Change
                Biogeochemical Cycles, Processes, and Modeling
                Oceanography: Biological and Chemical
                Nutrients and Nutrient Cycling
                Marine Organic Chemistry
                Biogeochemical Cycles, Processes, and Modeling
                Paleoceanography
                Biogeochemical Cycles, Processes, and Modeling
                Research Article
                Research Articles
                Custom metadata
                2.0
                December 2020
                Converter:WILEY_ML3GV2_TO_JATSPMC version:5.9.6 mode:remove_FC converted:23.12.2020

                nitrogen cycling,biogeochemical cycles,processes and modeling,nutrients and nutrient cycling

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