Cited by 1,202Conservation, Biodiversity, and Resource ManagementOil Palm Production and SustainabilityAgriculture, Land Use, Rural Development

Slowing Amazon deforestation through public policy and interventions in beef and soy supply chains

Nepstad, Daniel, McGrath, David, Stickler, Claudia, Alencar, Ane, Azevedo, Andrea, Swette, Briana, Bezerra, Tathiana, DiGiano, Maria +9 more·2014·Science

Abstract

The recent 70% decline in deforestation in the Brazilian Amazon suggests that it is possible to manage the advance of a vast agricultural frontier. Enforcement of laws, interventions in soy and beef supply chains, restrictions on access to credit, and expansion of protected areas appear to have contributed to this decline, as did a decline in the demand for new deforestation. The supply chain interventions that fed into this deceleration are precariously dependent on corporate risk management, and public policies have relied excessively on punitive measures. Systems for delivering positive incentives for farmers to forgo deforestation have been designed but not fully implemented. Territorial approaches to deforestation have been effective and could consolidate progress in slowing deforestation while providing a framework for addressing other important dimensions of sustainable development.

Integrity signals

Registry

Crossref · 10.1126/science.1248525

Cites

4 of 4 references verified0 citation errors · 0 not checkable

Statistics

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

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Nepstad, D., McGrath, D., Stickler, C., Alencar, A., Azevedo, A., Swette, B., Bezerra, T., DiGiano, M., Shimada, J., Seroa da Motta, R., Armijo, E., Castello, L., Brando, P., Hansen, M. C., McGrath-Horn, M., Carvalho, O., & Hess, L.
Affiliations
  • Earth Innovation Institute, 3180 18th Street, Suite 205, San Francisco, CA 94110, USA.
  • Universidade Federal do Oeste do Pará (BR)
  • Instituto de Pesquisa Ambiental da Amazônia (BR)
  • Instituto de Pesquisa Ambiental da Amazônia, SHIN CA 5, Bloco J2, Sala 309, Bairro, Lago Norte, Brasília-DF 71503-505.
  • Universidade do Estado do Rio de Janeiro, Rio de Janeiro, Brasil.
  • Virginia Tech (US)
  • Carnegie Institution for Science (US)
  • University of Maryland, College Park (US)
  • University of California, Santa Barbara (US)
Corresponding author
Nepstad, Daniel
Venue
Science
Published
2014-06-06
Volume
344
Issue
6188
Pages
1118-1123
ISSN
  • 0036-8075 (ISSN-L)
  • 1095-9203
OpenAlex
W2039294942
Cited by
1,202
References
4
Citations by year
2026: 76 · 2025: 74 · 2024: 81 · 2023: 95 · 2022: 92 · 2021: 111 · 2020: 145 · 2019: 98 · 2018: 119 · 2017: 113 · 2016: 91 · 2015: 86 · 2014: 18 · 2013: 1
FWCI
10.87
Type
journal article
Language
en
Open access
closed
Locations
  • Science (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Physical Sciences › Environmental Science › Global and Planetary Change › Conservation, Biodiversity, and Resource Management
  • Physical Sciences › Environmental Science › Ecology › Oil Palm Production and Sustainability
  • Life Sciences › Agricultural and Biological Sciences › General Agricultural and Biological Sciences › Agriculture, Land Use, Rural Development
Keywords
Amazon deforestation, deforestation decline, beef supply chain, soy supply chain, public policy, protected areas, law enforcement, territorial approach, corporate risk management, agricultural frontier, sustainable development
MeSH terms
Animals, Brazil, Cattle, Conservation of Natural Resources, Humans, Meat, Public Policy, Glycine max

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