Cited by 3,054Agriculture Sustainability and Environmental ImpactAgricultural Science and FertilizationSoil and Water Nutrient Dynamics

Managing nitrogen for sustainable development.

Open access
Zhang, Xin, Davidson, Eric A., Mauzerall, Denise L., Searchinger, Timothy D., Dumas, Patrice, Shen, Ye·2015·Nature

Abstract

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.

Integrity signals

Registry

Crossref · 10.1038/nature15743

Cites

89 of 89 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

The text we found for this paper looks like another document, so its claims and self-check weren’t run. The registry and citation checks still apply.

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The text we found for this paper looks like another document, so the self-check wasn’t run.

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Zhang, X., Davidson, E. A., Mauzerall, D. L., Searchinger, T. D., Dumas, P., & Shen, Y.
Affiliations
  • Princeton University (US)
  • University of Maryland Center for Environmental Science (US)
  • Centre de Coopération Internationale en Recherche Agronomique pour le Développement (FR)
Corresponding author
  • Zhang, Xin
  • Davidson, Eric A.
Venue
Nature
Published
2015-11-23
Volume
528
Issue
7580
Pages
51-59
ISSN
  • 0028-0836 (ISSN-L)
  • 1476-4687
OpenAlex
W2190546151
Cited by
3,054
References
89
Citations by year
2026: 488 · 2025: 486 · 2024: 413 · 2023: 352 · 2022: 370 · 2021: 308 · 2020: 238 · 2019: 159 · 2018: 114 · 2017: 95 · 2016: 29
FWCI
71.79
Type
journal article
Language
en
Open access
Locations
  • Nature (publishedVersion)
  • PubMed (publishedVersion)
  • HAL (submittedVersion, other-oa)
  • RePEc: Research Papers in Economics (submittedVersion)
  • Agritrop (Cirad) (submittedVersion)
Topics
  • Physical Sciences › Environmental Science › Ecology › Agriculture Sustainability and Environmental Impact
  • Life Sciences › Agricultural and Biological Sciences › Soil Science › Agricultural Science and Fertilization
  • Physical Sciences › Environmental Science › Environmental Chemistry › Soil and Water Nutrient Dynamics
Keywords
sustainable development, food security, environmental degradation, climate change, agricultural development, nitrogen pollution, Sustainable Development Goals, socioeconomic factors, technological innovation, nitrogen management
MeSH terms
Agriculture, Conservation of Natural Resources, Ecology, Environmental Pollution, Fertilizers, Food Supply, Humans, Nitrogen, Crops, Agricultural, Internationality, Climate Change, Gross Domestic Product

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review