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Area Computation by the Alternative Coordinate Method

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Watershed Planning within a Quantitative Scenario Analysis Framework
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Identifying conservation areas on the basis of alternative distribution data sets.

Jared G Underwood1, Caterina D'Agrosa, Leah R Gerber

  • 1Ecology, Evolution and Environmental Science, School of Life Sciences, Arizona State University, College & University Drive, Tempe, AZ 85287-1501, USA.

Conservation Biology : the Journal of the Society for Conservation Biology
|August 8, 2009
PubMed
Summary
This summary is machine-generated.

Choosing different biodiversity data sets significantly impacts conservation reserve planning. Novel methods are proposed to reduce uncertainty in reserve networks and ensure biodiversity targets are met.

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Area of Science:

  • Conservation Biology
  • Spatial Ecology
  • Biodiversity Informatics

Background:

  • Accurate biodiversity distribution data is crucial for effective conservation planning.
  • Inaccurate data leads to over- or underrepresentation of species, impacting reserve network design and effectiveness.

Purpose of the Study:

  • To investigate how different distribution data sets affect conservation reserve selection.
  • To propose new methods for minimizing uncertainty in achieving conservation targets within reserves.

Main Methods:

  • Utilized common prioritization methods: richness mapping and systematic reserve design.
  • Developed a novel approach integrating multiple distribution data types.
  • Simulated reserve establishment using predicted distribution models, occurrence records, and combined data for Arizona mammals.

Main Results:

  • Spatial overlap between reserve networks varied greatly depending on data type, with pairwise overlap never exceeding 50% even with combined data.
  • Reserve size required to meet conservation targets fluctuated significantly, with the largest system being 10 times the smallest.
  • Different data sets led to substantial variability in reserve placement and size.

Conclusions:

  • The choice of biodiversity distribution data profoundly impacts conservation planning outcomes.
  • Novel integration methods can minimize uncertainty and improve the reliability of biodiversity reserve networks.
  • Accurate and integrated data are essential for effective biodiversity feature protection.