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Record W2171737768 · doi:10.1017/s0376892901000029

Conservation and development alliances with the Kayapó of south-eastern Amazonia, a tropical forest indigenous people

2001· article· en· W2171737768 on OpenAlexaff
Barbara L. Zimmerman, Carlos A. Peres, Jay R. Malcolm, Terence Turner

Bibliographic record

VenueEnvironmental Conservation · 2001
Typearticle
Languageen
FieldEnvironmental Science
TopicConservation, Biodiversity, and Resource Management
Canadian institutionsUniversity of Toronto
FundersU.S. Forest Service
KeywordsAmazon rainforestGeographyAgroforestryEndangered speciesBiodiversityIndigenousLoggingPopulationForestryEcologyEnvironmental scienceBiology

Abstract

fetched live from OpenAlex

Legally recognized Indian reserves of Brazilian Amazonia span over 100 million ha of largely intact forest and are potentially valuable for biodiversity conservation. An important example is provided by the Kayapó territories which span more than 13 million ha in Pará and Mato Grosso, Brazil, and protect a unique and vulnerable Amazonian forest type that is poorly represented in existing nature reserves. The Kayapó of southern Pará have stopped invasion of their lands by the most perverse threats to Amazonian forests, but they have become involved extensively in the sale of illegal logging concessions for the high-value timber species mahogany (Swietenia macrophylla). In 1992, the non-governmental organization Conservation International do Brasil (CI-Brasil) began a conservation and development project with the Kayapó community of A’Ukre with the objective of providing economic alternatives to logging and protecting a population of mahogany trees. This paper demonstrates the conservation benefits that can be achieved by supporting sustainable development of indigenous peoples in the Amazon. Specifically, we: (1) evaluate the ecological importance of the Kayapó reserves from a biodiversity conservation viewpoint, (2) evaluate the conservation success of the CI-Brasil project and test whether the implementation of the conservation alliance between A’Ukre and CI-Brasil satisfies common pool resource principles, and (3) propose a model for expanding the small-scale conservation results achieved by the CI-Brasil project to all Kayapó territories. Several mammals (Tayassu pecari, Pteronura brasiliensis, Priodontes maximus, Panthera onca) and at least one bird species (Anodorhynchus hyacinthinus) listed as endangered were regularly encountered within 15 km of A’Ukre. Taxa encountered at relatively high densities in the project area included large cracids, lowland tapir, and white-lipped peccary, indicating an ecosystem that is not severely impacted by hunting. Harvest offtakes of mahogany averaged 0.44 stems ha−1 within groves and 0.13 stems ha−1 at the landscape level. We estimate that 85% of the fruiting population of Swietenia macrophylla has been removed in harvested Kayapó territories in Pará. We found Kayapó social organization in A’Ukre to meet criteria of successful common pool resource institutions. The CI-Brasil project resulted in protection of an intact mahogany population in 8000 ha of forest maintained by the community for ecological research purposes and mahogany preservation. Our analysis attributes the success of the conservation alliance with A’Ukre to: (1) direct benefits accruing to all members of the community, (2) fulfilment of criteria for development of common pool resource institutions, and (3) long-term commitment of an external agency. We propose that by implementing these three elements elsewhere, the modest conservation result achieved at A’Ukre could be expanded to include the entire Kayapó nation and thereby contribute to conservation of more than 13 000 000 ha of forest and cerrado in the south-eastern Amazon.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.022
Threshold uncertainty score0.044

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.002
Scholarly communication0.0010.001
Open science0.0000.003
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.011
GPT teacher head0.169
Teacher spread0.158 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations175
Published2001
Admission routes1
Has abstractyes

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