Cited by 6Conservation, Biodiversity, and Resource ManagementLand Use and Ecosystem ServicesAgriculture, Land Use, Rural Development

Cutting Down Trees Does not Build Prosperity: On the Continued Decoupling of Amazon Deforestation and Economic Development in 21st Century Brazil

Open access
Norris, Darren, Sabadini Carvalho, Terciane, Guerrero, Angela M., Sobral Escada, Maria Isabel, Alencar, Ane, Kimbrough, Liz, Butler, Rhett A.·2022·Tropical Conservation Science

Abstract

Background and Aims: We present evidence examining spatial and temporal patterns in forest cover changes and economic indicators in Brazilian Amazonia. Specifically, we tested two predictions embedded in arguments used by influential interest groups: (i) indicators of economic progress should increase where there is less forest and (ii) areas with most recent deforestation should have increased economic indicators. Methods: Complementary methods assessed annual variation in economic indicators across 794 administrative districts (municipalities) covering 4.9 Mkm 2 of the Brazilian Amazon from 2002 to 2019. A representative subset of municipalities was used to compare economic and socioeconomic indicators across municipalities with contrasting forest cover. Results: Contrasting results between the full and a representative subset of municipalities suggested that municipality-level economic indicators cannot be directly attributed to the loss of natural forests. There was no association between forest loss and economic (average salary) or socioeconomic indicators (existence of sanitation plans and internet connectivity). The economic indicators of municipalities with less than 40% forest cover in 1986 were no different to that of similar municipalities with more than 60% forest cover from 1986 to 2019. Conclusion: The evidence contradicted both predictions tested. Reducing forest cover does not appear to directly promote socioeconomic progress. Any localized associations between forest cover and poverty most likely result from other more plausible alternatives including lack of opportunity and a widespread failure to effectively implement and enforce existing policies within the local socioeconomic context. Implications for Conservation: Our findings support evidence from across the tropics that shows deforestation does not necessarily generate transformative and equitable food production systems or lead to poverty alleviation.

Integrity signals

Registry

Crossref · 10.1177/19400829221132193

Cites

61 of 61 references verified0 citation errors · 0 not checkable

Statistics

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

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.

Cites

Flagged first, then by citations

Research works printed but not linked: 18

  1. Amorim D., 2021, Queda de 8% no PIB da agropecuária no 3º trimestre é a maior desde 2012. Estadão
  2. Brazil, 2021, Brazil - High-level Segment Statement COP 26
  3. Butler R. A., 2021, Amazon deforestation unexpectedly surges 22% to highest level since 2006
  4. Carvalho R., 2022, DIE ERDE – Journal of the Geographical Society of Berlin, 153
  5. CBD, 2021, The Convention on Biological Diversity: Post 2020
  6. Crelier C., 2021, PIB fica em -0,1% no terceiro trimestre influenciado por queda na agropecuária
  7. Dunn P. K., 2017, Tweedie: Evaluation of Tweedie exponential family models (Version R package version 2.3)
  8. EIU, 2021, Democracy Index 2021
  9. Guimarães de Araújo S. M. V., 2020, Brazilian Political Science Review, 14
  10. IBGE, 2019, Estatísticas do Cadastro Central de Empresas
  11. IBGE, 2019, MUNIC - Pesquisa de Informações Básicas Municipais
  12. IBGE, 2021, Produto Interno Bruto dos Municípios 2019
  13. MapBiomas, 2021, Projeto MapBiomas – Coleção 6 da Série Anual de Mapas de Cobertura e Uso de Solo do Brasil
  14. MDR, 2021, Ministério do Desenvolvimento Regional: Sistema Nacional de Informações sobre Saneamento 2020: Região Norte
  15. Ministério da Cidadania, 2022, Auxílio Brasil
  16. Norris D., 2022, CuttingDownTrees: data and R code
  17. Paraguassu L., 2022, Se guerra aumentar prejudicará produção de alimentos, diz Bolsonaro [Press release]
  18. Tweedie M. (1984). An index which distinguishes between some important exponential families . Paper presented at the Statistics: Applications and new directions. Proc. Indian Statistical Institute Golden Jubilee International Conference.

Cited by

Still being checked.

Authors
Norris, D., Sabadini Carvalho, T., Guerrero, A. M., Sobral Escada, M. I., Alencar, A., Kimbrough, L., & Butler, R. A.
Affiliations
  • Universidade Federal do Amapá (BR)
  • Federal University of Paraná, Curitiba, Brazil
  • Queensland University of Technology (AU)
  • Instituto Nacional de Pesquisas Espaciais (INPE), São José dos Campos, Brazil
  • Instituto de Pesquisa Ambiental da Amazônia (BR)
  • Mongabay, New Orleans, LA, USA
Corresponding author
Norris, Darren
Venue
Tropical Conservation Science
Published
2022-07
Volume
15
ISSN
1940-0829 (ISSN-L)
OpenAlex
W4313015734
Cited by
6
References
61
Citations by year
2026: 3 · 2025: 2 · 2024: 1
FWCI
0.30
Type
journal article
Language
en
Open access
Locations
Tropical Conservation Science (publishedVersion, cc-by-nc)
Topics
  • Physical Sciences › Environmental Science › Global and Planetary Change › Conservation, Biodiversity, and Resource Management
  • Physical Sciences › Environmental Science › Global and Planetary Change › Land Use and Ecosystem Services
  • Life Sciences › Agricultural and Biological Sciences › General Agricultural and Biological Sciences › Agriculture, Land Use, Rural Development
Keywords
Amazon deforestation, forest cover change, economic development, socioeconomic indicators, poverty reduction, forest conservation, Brazil

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