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Biodiversity Information Science and Standards :
Conference Abstract
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Corresponding author: Ana Carolina Mendes dos Santos (acms1000@hotmail.com)
Received: 19 Nov 2025 | Published: 27 Nov 2025
© 2025 Ana Carolina Mendes dos Santos, Sónia Maria Carvalho Ribeiro
This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Citation:
Mendes dos Santos AC, Carvalho Ribeiro SM (2025) Hidden in the Data: Unlocking the Potential of Brazil’s Sociobiodiversity for a Sustainable Bioeconomy. Biodiversity Information Science and Standards 9: e178685. https://doi.org/10.3897/biss.9.178685
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Brazil harbors the richest biodiversity on Earth, accounting for 15–20% of all known species worldwide (
To examine how sociobiodiversity products and local markets are represented in official datasets, we conducted a local-scale study in Northern Minas Gerais, within the Cerrado biome – a global biodiversity hotspot increasingly threatened by agribusiness-driven deforestation. We compared production data from the Brazilian Institute of Geography and Statistics (IBGE) and subsidy data from the National Supply Company (Conab) with figures provided by the Cooperative Grande Sertão, a leading local cooperative that works directly with 400 families across nearly 40 municipalities. IBGE is the official agency responsible for compiling national statistics on the production of non-timber forest products such as açaí (Euterpe oleracea), Brazil nut (Bertholletia excelsa) and natural rubber (Hevea brasiliensis), among others, and Conab is the governmental company that monitors products eligible for public procurement. Our results revealed two main key messages. First, value chains of native species that are socially and economically central to traditional communities are largely absent from systematic monitoring regarding their use, production, or market flows, corroborating previous studies (
Map showing IBGE data on pequi production across municipalities in the Cerrado biome: yellow indicates producing municipalities, white indicates no production, and black indicates lack of data. The accompanying table compares IBGE records with figures from the local cooperative for the four main producing municipalities. Source: Ana Carolina Mendes dos Santos and Sónia Maria Carvalho Ribeiro. License: Creative Commons Attribution 4.0 (CC-BY 4.0).
Our second finding was the marked discrepancy between official statistics and actual production reported by cooperatives. In four leading pequi-producing municipalities, official records diverged substantially from local data. In Cônego Marinho, for instance, just 30 agroextractivists collected six times more pequi than IBGE registered for the entire municipality in 2023, and in Miravânia, two collectors harvested more than five times the official figure (Fig.
Our study underscores the need to strengthen local monitoring capacities and create integrated data systems that combine official records with community-based knowledge to unlock the transformative potential of Brazil’s sociobiodiversity. Investments in territorialized data governance are essential to ensure more accurate representation of sociobiodiversity value chains, enabling place-based policies that align biodiversity conservation with inclusive economic development. Strengthening the visibility of native species in data systems is needed not only to improve accuracy but also to ensure informed decision-making, equitable benefit-sharing, and resilience in the face of environmental and social challenges. Making sociobiodiversity visible in data is a prerequisite for building a sustainable and just bioeconomy.
non-timber forest products, public policy, monitoring, official statistics, value chains
Ana Carolina Mendes dos Santos
Living Data 2025
A.C.M.S: Conceptualization, data curation, formal analysis, funding acquisition: investigation, methodology, supervision, validation, visualization, writing—original draft, writing—review and editing. S.M.C.R.: formal analysis, supervision, validation.