CoChat
Sign Up
Cited by 411Conservation, Biodiversity, and Resource ManagementEcology and Vegetation Dynamics StudiesLand Use and Ecosystem Services

The DOI matches its Crossref record; 43 of the 44 references it cites were found in a registry or an index.

Long-term forest degradation surpasses deforestation in the Brazilian Amazon

Open access
Matricardi, Eraldo Aparecido Trondoli, Skole, David Lewis, Costa, Olívia Bueno, Pedlowski, Marcos Antonio, Samek, Jay Howard, Miguel, Eder Pereira·2020·Science
DOI 10.1126/science.abb3021
Open this paper in CoChat — free accountOpen PDF

Abstract

Although deforestation rates in the Brazilian Amazon are well known, the extent of the area affected by forest degradation is a notable data gap, with implications for conservation biology, carbon cycle science, and international policy. We generated a long-term spatially quantified assessment of forest degradation for the entire Brazilian Amazon from 1992 to 2014. We measured and mapped the full range of activities that degrade forests and evaluated the relationship with deforestation. From 1992 to 2014, the total area of degraded forest was 337,427 square kilometers (km 2 ), compared with 308,311 km 2 that were deforested. Forest degradation is a separate and increasing form of forest disturbance, and the area affected is now greater than that due to deforestation.

Overview

Integrity signals

Registry

Crossref · 10.1126/science.abb3021

Cites

43 of 43 references verified0 citation errors · 0 not checkable

Statistics

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

Verification

Claims the paper makes

We couldn’t retrieve this paper’s full text, 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?

Citations

Cites

Flagged first, then by citations

Show all 44 references

1 of the 44 references couldn’t be matched to a known paper.

Cited by

Sorted by citations

Items 301–400 of 411

Related

See all

Metadata

Authors
Matricardi, E. A. T., Skole, D. L., Costa, O. B., Pedlowski, M. A., Samek, J. H., & Miguel, E. P.
Affiliations
  • Universidade de Brasília (BR)
  • Michigan State University (US)
  • Department of Forestry, University of Brasilia, Campus Darcy Ribeiro, Brasília 70.900-910, Brazil.
  • Laboratório de Estudos do Espaço Antrópico (LEEA), Universidade Estadual do Norte Fluminense Darcy Ribeiro, Campos dos Goytacazes, RJ 28013, Brazil.
Corresponding author
  • Matricardi, Eraldo Aparecido Trondoli
  • Skole, David Lewis
ORCID
Venue
Science
Publisher
American Association for the Advancement of Science (AAAS)
Published
2020-09-11
Volume
369
Issue
6509
Pages
1378-1382
ISSN
  • 0036-8075 (ISSN-L)
  • 1095-9203
DOI
10.1126/science.abb3021
OpenAlex
W3085288603
Cited by
411
References
44
Citations by year
2026: 45 · 2025: 60 · 2024: 72 · 2023: 80 · 2022: 92 · 2021: 57 · 2020: 4
FWCI
21.67
Type
journal article
Language
en
Open access
Licence
public-domain
Locations
  • Science (publishedVersion, public-domain)
  • PubMed (publishedVersion)
Funders
  • National Aeronautics and Space Administration (NNX14AD93G)
  • Coordenação de Aperfeiçoamento de Pessoal de Nível Superior – Brasil (Finance Code 001)
  • National Council of Science and Technology of Brazil (Productivity Grant)
Topics
  • Physical Sciences › Environmental Science › Global and Planetary Change › Conservation, Biodiversity, and Resource Management
  • Physical Sciences › Environmental Science › Nature and Landscape Conservation › Ecology and Vegetation Dynamics Studies
  • Physical Sciences › Environmental Science › Global and Planetary Change › Land Use and Ecosystem Services
Keywords
forest degradation, deforestation, Brazilian Amazon, forest disturbance, long-term forest dynamics, tropical forests
MeSH terms
Brazil, Conservation of Natural Resources, Biodiversity, Forests

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