Cited by 342Conservation, Biodiversity, and Resource ManagementForest Management and PolicyOil Palm Production and Sustainability

Public policies can reduce tropical deforestation: lessons and challenges from Brazil

Arima, Eugenio Y., Barreto, Paulo, Araújo, Elis, Soares-Filho, Britaldo·2014·Land Use Policy

Integrity signals

Registry

Crossref · 10.1016/j.landusepol.2014.06.026

Cites

3 of 3 references verified0 citation errors · 0 not checkable

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Authors
Arima, E. Y., Barreto, P., Araújo, E., & Soares-Filho, B.
Affiliations
  • The University of Texas at Austin (US)
  • Imazon (BR)
  • Universidade Federal de Minas Gerais (BR)
Corresponding author
Arima, Eugenio Y.
Venue
Land Use Policy
Publisher
Elsevier BV
Published
2014-11
Volume
41
Pages
465-473
ISSN
0264-8377 (ISSN-L)
OpenAlex
W2083747635
Cited by
342
References
3
Citations by year
2026: 13 · 2025: 22 · 2024: 25 · 2023: 28 · 2022: 27 · 2021: 35 · 2020: 36 · 2019: 32 · 2018: 28 · 2017: 40 · 2016: 32 · 2015: 22 · 2014: 2
FWCI
24.26
Type
journal article
Language
en
Open access
closed
Locations
Land Use Policy (publishedVersion)
Funders
  • NASA Interdisciplinary Sciences Grants (NNX11AB89G, NNX07AF16G)
  • Gordon & Betty Moore Foundation
  • Climate Works
  • CNPq
Topics
  • Physical Sciences › Environmental Science › Global and Planetary Change › Conservation, Biodiversity, and Resource Management
  • Physical Sciences › Environmental Science › Global and Planetary Change › Forest Management and Policy
  • Physical Sciences › Environmental Science › Ecology › Oil Palm Production and Sustainability
Keywords
tropical deforestation, environmental law enforcement, public policy, Brazilian Amazon, CO2 emissions, forest degradation, avoided emissions, humid forest, land conversion, protected areas, hydroelectric dams, agricultural expansion, climate change mitigation

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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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