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Brazil nut stock and harvesting at different spatial scales in southeastern Amazonia

Authors: Pascale de Robert; Pascale de Robert; William E. Magnusson; Maria Beatriz N. Ribeiro; Adriano Jerozolimski;

Brazil nut stock and harvesting at different spatial scales in southeastern Amazonia

Abstract

Evaluations of the effects of non-timber forest product (NTFP) extractive industries by traditional communities have focused on local effects, but effective conservation of species often requires evaluation at wider scales that can only be efficiently undertaken with the use of remote sensing. Brazil nut (Bertholletia excelsa seed) is one of the most important NTFP in the Amazon basin and has received considerable attention from researchers aiming to guarantee its sustainability. However, most studies evaluating the impacts of B. excelsa seed harvesting investigated only effects in harvested sites, and did not consider B. excelsa availability in the landscape, or patterns of harvesting at broader scales, which are critical to evaluate the viability of extraction and plan management practices. We used high-resolution satellite images associated with ground truthing, participative mapping with harvesters and harvest records, to evaluate abundance of B. excelsa in the territories of three Kayapo indigenous communities in southeastern Amazonia. This allowed us to obtain conservative estimates of the proportion of Brazil nut harvested by the Kayapo at scales appropriate to evaluate effects on stocks in the landscape and in harvested groves. B. excelsa groves are abundant in the Kayapo lands, but only about 30% of them are harvested. In recent years, the villagers have harvested from 7.2% to 43% of the seeds produced in harvested groves. These represent only 2.5–12.7% of total seeds estimated to have been produced within the Brazil nut-collection territories of those Kayapo villages. Our results show that the Kayapo have undertaken non-intensive Brazil nut harvesting at local and especially at landscape scales, which suggests that B. excelsa is currently not threatened by harvesting in the region and that there is still potential to expand commercial production in at least one of the sites. The application of similar multi-scale approaches in other sites and for other non-timber forest products would provide important information to evaluate their long term conservation, subsidize the development of management plans and help to guarantee the livelihoods of traditional communities.

Countries
France, Brazil, Brazil
Keywords

High Resolution Satellite Images, Satellite Imagery, CONSERVATION DE LA NATURE, Edible Species, 330, FORET DENSE, IMAGE SATELLITE, PRODUCTION AGRICOLE, Conservation, Commercial Productions, 333, Amazonia, Long-term Conservation, Nontimber Forest Product, Bertholletia excelsa Kayapó Landscape Non-timber forest products Satellite image, Landscape, Multi-scale Approaches, Harvesting, Bertholletia Excelsa, Amazon Basin, Commercial Activity, Spatial Analysis, [SHS.ANTHRO-SE] Humanities and Social Sciences/Social Anthropology and ethnology, Non-timber Forest Products, Traditional Knowledge, PRODUIT AGRICOLE, Satellite Images, Forestry, NOIX DU BRESIL, Rural Areas, PRESSION DEMOGRAPHIQUE, [SDE.BE] Environmental Sciences/Biodiversity and Ecology, RECOLTE, Sustainability, Deciduous Forest, DEVELOPPEMENT DURABLE, Indigenous Population

  • BIP!
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    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    20
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
20
Top 10%
Average
Top 10%
Green