Published April 8, 2026 | Version v4
Dataset Open

Land-use and land-cover dynamics within AOO and EOO for 1,036 Brazilian Leguminosae species (MapBiomas 1985–2022): dataset supporting extinction risk assessment analyses

Authors/Creators

  • 1. ROR icon Instituto de Pesquisas Jardim Botânico do Rio de Janeiro
  • 2. ROR icon Royal Botanic Gardens, Kew
  • 3. ROR icon Universidade do Estado de Santa Catarina
  • 4. Universidade Federal de São Carlos
  • 5. Universidade Estadual de Campinas
  • 6. Instituto Nacional de Pesquisas da Amazônia
  • 7. Universidade Federal do Sul da Bahia
  • 8. ROR icon Universidade Federal de Mato Grosso do Sul
  • 9. ROR icon Universidade Estadual de Feira de Santana
  • 10. ROR icon Universidade Estadual de Santa Cruz
  • 11. ROR icon Universidade de São Paulo
  • 12. ROR icon Universidade Federal do Espírito Santo
  • 13. Instituto de Pesquisa Jardim Botânico do Rio de Janeiro
  • 14. Fundação Zoo-Botânica de Belo Horizonte
  • 15. Universidade do Estado de Mato Grosso
  • 16. ROR icon Instituto Federal de Educação, Ciência e Tecnologia de Roraima
  • 17. ROR icon Universidade Federal de Viçosa
  • 18. ROR icon Universidade Federal de Pelotas
  • 19. ROR icon Universidade Federal do Rio Grande do Sul
  • 20. ROR icon Universidade Estadual Paulista (Unesp)
  • 21. ROR icon University of Gothenburg
  • 22. Universidade Federal da Integração Latino-Americana
  • 23. Universidade Federal da Paraíba
  • 24. ROR icon Universidade Federal do Oeste da Bahia
  • 25. ROR icon Universidade do Estado do Rio de Janeiro
  • 26. Escola Nacional de Botânica Tropical/ Jardim Botânico do Rio de Janeiro
  • 27. ROR icon Universidade do Estado da Bahia
  • 28. Embrapa Recursos Genéticos e Biotecnologia
  • 29. Universidade Federal de Santa Maria

Description

This dataset supports the study "Land-use dynamics reveal differential extinction risk signals in extent of occurrence and area of occupancy for Brazilian legumes", and provides species-level inputs and derived metrics used to quantify land-use and land-cover (LULC) dynamics within Extent of Occurrence (EOO) and Area of Occupancy (AOO) for native Brazilian Leguminosae.

The file Appendix-S1.ods provides a species-level summary for all assessed legumes native to Brazil, including IUCN Red List category and criteria, number of locations from expert assessments, and year of the latest assessment based on official CNCFlora records. The dataset also includes calculated values for Area of Occupancy (AOO) and Extent of Occurrence (EOO), together with annual rates of change in natural area within AOO and EOO derived from LULC time series. Location estimates derived from automated buffer-based methods (1–5 km radii) are also provided to support comparison between expert-curated and spatially derived location counts.

The file Appendix-S2.ods contains overlay analysis results for AOO and EOO of each species using MapBiomas Brazil LULC data (Collection 8.0) for the period 1985–2022. Results are provided both as absolute area (km²) and proportional coverage (%) for each LULC class intersecting species distributions. These overlays support estimates of habitat change trajectories across time.

The file Appendix-S3.ods presents annual trend-rate estimates derived from temporal analyses of LULC classes within species-level AOO and EOO, including both natural and anthropogenic groupings used to evaluate continuing decline signals under IUCN Criterion B.

Together, these files provide a harmonised species-level dataset linking Red List assessment attributes, distributional metrics (AOO and EOO), automated location estimates, and long-term LULC dynamics derived from MapBiomas time series. The dataset enables reproducible screening and comparative analyses of habitat change signals across assessed Brazilian Leguminosae.

Numeric values are stored as numeric fields and may appear with decimal separators according to the user's locale settings. ODS files are provided in OpenDocument format; we recommend opening them using LibreOffice to ensure correct interpretation of decimal formats.

Interactive maps and species-level visualisations are available through the project repository:
https://lsbjordao.github.io/LULC-MapBiomas-Leguminosae/

Files

Files (38.0 MB)

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md5:7dac81599fe0fc216d7c8c45646e60ae
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Additional details