Cited by 207Avian ecology and behaviorPesticide and Herbicide Environmental StudiesPesticide Exposure and Toxicity

Neonicotinoids and decline in bird biodiversity in the United States

Li, Yijia, Miao, Ruiqing, Khanna, Madhu·2020·Nature Sustainability

Integrity signals

Registry

Crossref · 10.1038/s41893-020-0582-x

Cites

51 of 51 references verified0 citation errors · 0 not checkable

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  • There is a clear scientific consensus that pesticides threaten biodiversity worldwide.

    “there is a clear scientific consensus that pesticides threaten biodiversity worldwide ( 112 -115 )”

    From Environmental impacts of genetically modified crops (2024) · cites this paper as [114]

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Authors
Li, Y., Miao, R., & Khanna, M.
Affiliations
  • University of Illinois Urbana-Champaign (US)
  • Auburn University (US)
Corresponding author
Khanna, Madhu
Venue
Nature Sustainability
Published
2020-08-10
Volume
3
Issue
12
Pages
1027-1035
ISSN
2398-9629 (ISSN-L)
OpenAlex
W3048132269
Cited by
205
References
51
Citations by year
2026: 26 · 2025: 40 · 2024: 46 · 2023: 35 · 2022: 30 · 2021: 22 · 2020: 6
FWCI
12.11
Type
journal article
Language
en
Open access
closed
Locations
  • Nature Sustainability (publishedVersion)
  • RePEc: Research Papers in Economics (submittedVersion)
Topics
  • Physical Sciences › Environmental Science › Ecology › Avian ecology and behavior
  • Physical Sciences › Environmental Science › Pollution › Pesticide and Herbicide Environmental Studies
  • Life Sciences › Agricultural and Biological Sciences › Plant Science › Pesticide Exposure and Toxicity
Keywords
neonicotinoids, breeding birds, pesticide use, grassland birds, insectivorous birds, non-target effects, counterfactual analysis, United States

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.

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