Projecting future nitrogen inputs: Are we making the right assumptions?

Srishti Vishwakarma, Xin Zhang, Nathaniel D. Mueller

Research output: Contribution to journalArticlepeer-review

10 Scopus citations

Abstract

Global use of reactive nitrogen (N) has increased over the past century to meet growing food and biofuel demand, while contributing to substantial environmental impacts. Addressing continued N management challenges requires anticipating pathways of future N use. Several studies in the scientific literature have projected future N inputs for crop production under a business-as-usual scenario. However, it remains unclear how using yield response functions to characterize a given level of technology and management practices (TMP) will alter the projections when using a consistent dataset. In this study, to project N inputs to 2050, we developed and tested three approaches, namely 'Same nitrogen use efficiency (NUE)', 'Same TMP', and 'Improving TMP'. We found the approach that considers diminishing returns in yield response functions ('Same TMP') resulted in 268 Tg N yr-1 of N inputs, which was 61 and 48 Tg N yr-1 higher than when keeping NUE at the current level with and without considering changes in crop mix, respectively. If TMP continue to evolve at the pace of past five decades, projected N inputs reduce to 204 Tg N yr-1, a value that is still 59 Tg N yr-1 higher than the inputs in the baseline year 2006. Overall, our results suggest that assuming a constant NUE may be too optimistic in projecting N inputs, and the full range of projection assumptions need to be carefully explored when investigating future N budgets.

Original languageEnglish
Article number054035
JournalEnvironmental Research Letters
Volume17
Issue number5
DOIs
StatePublished - 2022
Externally publishedYes

Funding

This work was supported by the National Science Foundation CNS-1739823, and National Socio- Environmental Synthesis Center (SESYNC) under funding received from the National Science Foundation DBI-1639145. X Z is also supported by the National Science Foundation CBET-2047165, and CBET-2025826. Data used for the analysis are available via Zhang et al [] and Zhang et al [].

FundersFunder number
National Science FoundationCNS-1739823
National Socio-Environmental Synthesis CenterDBI-1639145, CBET-2025826, CBET-2047165

    Keywords

    • crop mix
    • nitrogen budget
    • nitrogen use efficiency
    • projection scenarios
    • technology and management practices
    • yield response functions

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