Cited by 140Conservation, Biodiversity, and Resource ManagementAgriculture, Land Use, Rural DevelopmentLand Rights and Reforms

The DOI matches its Crossref record; 78 of the 78 references it cites were found in a registry or an index; 4 of the 49 sources its claims cite were checked for support.

Explaining the persistence of low income and environmentally degrading land uses in the Brazilian Amazon

Open access
Garrett, Rachael D., Gardner, Toby A., Morello, Thiago Fonseca, Marchand, Sebastien, Barlow, Jos, Ezzine de Blas, Driss, Ferreira, Joice, Lees, Alexander C., Parry, Luke·2017·Ecology and Society

Abstract

Garrett, R. D., T. A. Gardner, T. Fonseca, S. Marchand, J. Barlow, D. Ezzine de Blas, J. Ferreira, A. C. Lees, and L. Parry. 2017. Explaining the persistence of low income and environmentally degrading land uses in the Brazilian Amazon. Ecology and Society 22(3):27. https://doi.org/10.5751/ES-09364-220327

Overview

AI snapshot

Written from the paper’s full text.

TL;DR

This paper asks why low-income, environmentally degrading land uses—especially extensive cattle ranching—persist in the eastern Brazilian Amazon despite higher-return cropping alternatives. Using social-ecological data from Santarém and Paragominas, it finds that income is not the main driver of perceived well-being, and that land-use persistence is shaped by assets, infrastructure, cultural preferences, and nonmonetary rural lifestyle benefits.

Key findings

  • Specialty crops (perennials and horticulture) had the highest per-hectare farm income (mean US$3,304/ha), about 1,300% higher than livestock systems and 200% higher than soy, staple, and mixed crop production; staple crops (US$1,753/ha) also significantly outperformed cattle and mixed cattle-crop systems.
  • Cattle remained the most expansive land use, occupying 73% of agricultural area, despite low productivity (0.83 head/ha) and low per-hectare income; 75% of households earned less than US$10,000/year from agricultural activities.
  • Land use was associated with household attributes: cattle specialization was more common among households from the Northeast, with larger, more remote properties and less credit/machinery; specialty, staple, and mixed cropping were more common on small peri-urban properties among migrants from the South; soy properties had substantially higher government credit access.
  • Subjective well-being was high overall (Santarém mean 2.7/3; Paragominas mean 2.5/3) and was not associated with farm, forest, or off-farm income; it was positively associated with income diversity, mixed cropping, safety, neighbor quality, and transportation access.

Methods

  • Used the Sustainable Amazon Network social-ecological dataset collected in 2010–2011 across Santarém and Paragominas: 367 transects in 36 watersheds, 623 households, and 499 properties; the main land-use analysis used 420 properties with full data, and the well-being model used n = 328.
  • Classified household-properties into mutually exclusive land uses when >75% of agricultural area was devoted to one use: cattle (n = 134), staple crops (n = 135), specialty crops (n = 27), soy (n = 21), mixed-crop (n = 48), cattle-crop (n = 33), and other livestock (n = 22); removed two property-size outliers >5,000 ha and four per-hectare income outliers.
  • Analyzed per-hectare income differences with one-way ANOVA and Tukey post-hoc tests; land-use determinants with a multinomial logit model; and subjective well-being with an ordered logit model using reported life quality (1 = poor, 2 = okay, 3 = good).

Limitations

  • The paper states that timber sales were excluded because of unreliable data and illegal practices; unpaid family labor costs were not included; home-consumed products were not counted as farm revenues; soil, slope, elevation, and input prices were excluded; and the well-being model had some multicollinearity, though VIFs were <1.9.
  • The paper notes the two case-study regions are fairly representative but also unique because of unusually high environmental NGO attention and novel governance initiatives, limiting generalization.
  • Evident from the design: the analysis is cross-sectional and observational, so causal claims are limited; income and land-use data rely on farmer recall; the 75% land-use classification threshold may obscure mixed or transitional systems.

Model-written summary. Check it against the paper before relying on it.

Integrity signals

Registry

Crossref · 10.5751/es-09364-220327

Cites

78 of 78 references verified0 citation errors · 0 not checkable

Statistics

Nothing to recompute.

Verification

Claims the paper makes

60 Own result · 19 Own interpretation · 15 No basis given · 13 No full text of the sources · 8 Sources not found · 8 Not checked yet · 5 Own method · 1 Supported · 1 Supported so far · 1 Partly supported · 1 Not supported · accuracy not yet measured

Show all 90 claims

  • Probably not a substantial claim. 16
  • It may state two separate claims as one. 28
42 of 42
  • The paper relies on this without support.

    The survey data on household assets, land use, income, and well-being are accurate and valid.

    “Farmers were asked to report details on land use for each property during the prior growing season (2009/2010) as well as 2006/2007.”
  • The authors state this as an assumption.

    The multinomial logit model assumption that a property-household chooses its land use based on differences in perceived utility, maximizing utility among available alternatives.

    “This model assumes that a property-household chooses its land use based on differences in perceived utility, maximizing utility among available alternatives.”
  • The paper relies on this without support.

    The subset of 420 properties with full data on all household assets is representative of the original 499 properties.

    “Of the original 499 properties only 420 contained full data on all household assets.”
  • The paper relies on this without support.

    The land use categories based on >75% of agricultural area represent the household's primary land use.

    “Each household-property was classified under a mutually exclusive land use category if more than 75% of the agricultural area of their property was allocated to that use.”
  • The authors state this as an assumption.

    The interest rate used in the cattle net present value calculation is 5%.

    “where r is the interest rate, assumed to be 5%”
  • The authors state this as an assumption.

    Juveniles need on average 12 more months to mature before being sold and calves need 24 more months.

    “This calculation assumes that juveniles need on average 12 more months to mature before being sold and calves need 24 more months.”
  • The authors state this as an assumption.

    All male and female cattle are sold rather than being kept for breeding.

    “It also assumes that all males and females are sold, rather than being kept for breeding.”
  • The authors state this as an assumption.

    Total operating costs for the entire herd are static across all three years.

    “Total operating costs for the entire herd are assumed to be static across all three years (C2010) because we lack any method to refine cost estimates in future periods.”
  • The authors state this as an assumption.

    Farmers choose their land use strategies seeking to maximize utility (subjective wellbeing) from available alternatives.

    “We assume that farmers choose their land use strategies seeking to maximize utility (subjective wellbeing) from available alternatives.”
  • The authors state this as an assumption.

    Net benefits for a farmer using an alternative are a deterministic function of the set of conditioning assets owned by the farmer.

    “Net benefits, B, for the farmer i using the alternative j (i.e., one of the five land uses) are assumed to be a deterministic function of the set of conditioning assets Z owned by the farmer (Table S1), so 𝐵 𝑖𝑗 (𝑍).”
  • The authors state this as an assumption.

    The farmer will continue to use alternative j so long as the expected utility from j is at least as high as another alternative k.

    “It is assumed that the farmer will continue to use alternative j, so long as the expected utility from j is at least as high as another alternative k, such that: 𝑈(𝐵 𝑖𝑗 (𝑍)) ≥ 𝑈(𝐵 𝑖𝑘 (𝑍)) ≥ 0.”
  • The authors state this as an assumption.

    The last probability is a nonlinear function G(.) of only Z and the parameters of the linear approximation.

    “It is generally assumed (McFadden, 1980;Wooldridge, 2010) that the last probability is a nonlinear function G(.) of only Z and the parameters of the linear approximation, βj, j=1,…7, which can be subsumed to a J-column matrix, β, such that P(y = j|Z) = G(Z,β).”
  • The authors state this as an assumption.

    The relationship between each pair of life quality outcome groups is the same.

    “This model assumes that the relationship between each pair of life quality outcome groups (e.g. 1 to 2 and 2 to 3) is the same.”
13 of 13

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?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

Each contradiction between two passages listed here was confirmed by an independent check.

2 of 2

Citations

Cites

Research works printed but not linked: 3

  1. da Silva, J. G. 2009. Zero hunger and territories of citizenship: promoting food security in Brazil's rural areas. Pages 367-374 in J. von Braun, R. Vargas Hill, R. Pandya-Lorch, editors. The poorest and hungry: assessments, analyses and actions. International Food Policy Research Institute, Washington, D.C., USA.
  2. Reardon, T., and S. A. Vosti. 1995. Links between rural poverty and the environment in developing countries: asset categories and investment poverty. World Development 23(9):1495-1506. http:// dx.doi.org/10.1016/0305-750X(95)00061-G Ribot, J. C., and N. L. Peluso. 2003. A theory of access. Rural Sociology 68:153-181. http://dx.doi.org/10.1111/j.1549-0831.2003. · DOI
  3. Valentim, J., and R. Garrett. 2016. Promoção do Bem-Estar dos Produtores Familiares com uso de Sistemas de Produção Agropecuários e Florestais de Baixo Carbono no Bioma Amazônia. Pages 73-98 in A. A. Azevedo, M. Campanili, and C. Pereira, editors. Caminhos para uma Agricultura Familiar sob Bases Ecológicas: Produzindo com Baixa Emissão de Carbono. Instituto de Pesquisa Ambiental da Amazônia, Belém, Brasil.

Cited by

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Metadata

Authors
Garrett, R. D., Gardner, T. A., Morello, T. F., Marchand, S., Barlow, J., Ezzine de Blas, D., Ferreira, J., Lees, A. C., & Parry, L.
Affiliations
  • Boston University (US)
  • Stockholm Environment Institute (SE)
  • Universidade Federal do ABC (BR)
  • Lancaster University (GB)
  • Embrapa (BR)
  • Manchester Metropolitan University (GB)
  • Universidade Federal do Pará (BR)
Venue
Ecology and Society
Published
2017
Volume
22
Issue
3
ISSN
1708-3087 (ISSN-L)
OpenAlex
W2749354405
Cited by
140
References
76
Citations by year
2026: 12 · 2025: 13 · 2024: 9 · 2023: 26 · 2022: 13 · 2021: 21 · 2020: 8 · 2019: 27 · 2018: 9 · 2017: 2
FWCI
8.71
Type
journal article
Language
en
Open access
Licence
cc-by-nc
Locations
  • Ecology and Society (publishedVersion, cc-by-nc)
  • e-space (Manchester Metropolitan University) (acceptedVersion)
  • HAL (submittedVersion)
  • Agritrop (Cirad) (submittedVersion, cc-by)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
  • OpenBU (Boston University) (submittedVersion, cc-by-nc)
Funders
  • National Science Foundation (1415352)
  • Harvard University
  • Government of the United Kingdom
  • Nature Conservancy (NE/F01614X/1)
  • Svenska Forskningsrådet Formas (2013‐1571)
  • Empresa Brasileira de Pesquisa Agropecuária (02.08.06.005.00, SEG:02.08.06.005.00)
  • Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq 574008/2008-0, 574008/2008-0, 400640/2012-0, 574008/2008)
  • Economic and Social Research Council (ES/M011542, ES/K010018/1, ES/M011542/1)
  • Natural Environment Research Council (NE/K016431/1, NE/G000816/1, NE/M017508/1, NE/l018123/1, NE/F015356/2, NE/F01614X/1)
Topics
  • Physical Sciences › Environmental Science › Global and Planetary Change › Conservation, Biodiversity, and Resource Management
  • Social Sciences › Development › Agriculture, Land Use, Rural Development
  • Life Sciences › Agricultural and Biological Sciences › Soil Science › Land Rights and Reforms
Keywords
Brazilian Amazon, deforestation, land use change, poverty, environmental degradation

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