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Understanding Distributions of Poorly Known Species in the Cerrado Biome

This study aims to enhance our understanding of the distribution of poorly known species, particularly those that are rare or microendemic within the Cerrado vegetation. Despite the existence of species like Byrsonima subterranea and Baccharis pseudotenuifolia being documented from single records, this research employs ecological space analysis using temperature and precipitation metrics. By assessing environmental similarity across the landscape surrounding known occurrences, we attempt to identify potential new populations. We acknowledge the preliminary nature of this experimental approach and aim to further validate our findings through field assessments.

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Understanding Distributions of Poorly Known Species in the Cerrado Biome

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  1. Understanding Distributions of Poorly Known SpeciesMarinez Ferreira de SiqueiraCentro de Referência em Informação Ambiental

  2. Poorly Known Species • Microendemics or rare • Poorly collected species • Species with extremely restricted ecological needs • E.g., in Cerrado vegetation, 30% of trees are known from single records in the Projeto de Cooperação Técnica Conservação e Manejo da Biodiversidade do Bioma Cerrado – EMBRAPA Cerrados – UnB – Ibama/DFID e RBGE/Reino Unido database • What to do to understand (or begin to understand) the distributions of these species?

  3. Ecological Space Measure distance in ecological space Position of point that might be adjacent to known occurrence Annual Mean Temperature Available Environments Position of point from which species is known Annual Mean Precipitation

  4. Measure Ecological Similarity Across Landscape Measure ecological distances from all points

  5. Understanding Distributions of Poorly Known Species The idea is to characterize the landscape and region surrounding the one known occurrence as to how similar or different it is in terms of ecological parameters.

  6. Results of modeling for Byrsonima subterranea Brad. & Mark. (Malpighiaceae) Assis Ecological Station, a Conservation Unit in São Paulo State.

  7. Modeling for Byrsonima subterranea grey area = less environmental similarity blue area = high environmental similarity

  8. Modeling for Byrsonima subterranea Identify areas of high and lowecological similarity to known occurrence point Black = patches of the cerrado vegetation type

  9. Modeling for Baccharis pseudotenuifolia

  10. Understanding Distributions of Poorly Known Species • To test the applicability of this approach, we will go to the field to assess whether additional occurrences of this species are concentrated in areas that are highly similar to the single known locality. • This approach is highly experimental, and its presentation at this point is quite preliminary, but it is an illustration of potential approaches to understanding better even the most poorly known species

  11. Acknowledgments • Prof. Dr. A. Townsend Peterson - Natural History Museum and Biodiversity Research Center, The University of Kansas, to help with modelling • Dra Giselda Durigan - Assis Ecological Station

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