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Understanding Distributions of Poorly Known Species Marinez Ferreira de Siqueira Centro de Referncia

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Title: Understanding Distributions of Poorly Known Species Marinez Ferreira de Siqueira Centro de Referncia


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 low ecological
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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