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Identifying potential indicators of conservation value using natural heritage occurrence data.

Peter B Pearman1, Michael R Penskar, Edward H Schools

  • 1Michigan Natural Features Inventory, Michigan State University, P.O. Box 30444, Lansing, Michigan 48909-7944, USA. pearman@zool.unizh.ch

Ecological Applications : a Publication of the Ecological Society of America
|May 19, 2006
PubMed
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This study proposes using diverse indicator species, including plants, insects, and birds, to identify and monitor areas crucial for biodiversity conservation. This approach helps pinpoint high-value conservation sites across Michigan and potentially beyond.

Area of Science:

  • Ecology
  • Conservation Biology
  • Environmental Science

Background:

  • Traditional conservation planning using rare species or indicator taxa has limitations.
  • A novel approach is needed to integrate species-specific needs with broader ecosystem health.

Purpose of the Study:

  • To identify a diverse group of indicator species associated with high ecosystem integrity for conservation planning.
  • To develop a method for selecting indicator species based on their association with ecologically valuable areas.

Main Methods:

  • Defined areas of high ecosystem integrity using criteria like biotic community structure, expert review, and unmodified natural habitats.
  • Utilized species occurrence data from Michigan's Natural Heritage database.
  • Employed a null model and randomization tests to identify indicator species not randomly distributed in high-integrity areas.

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Main Results:

  • Identified a taxonomically diverse set of potential indicator species (plants, insects, birds) strongly linked to areas of exceptional ecosystem integrity.
  • Species distribution varied across different integrity scenarios, collectively covering the entire state.
  • The identified species are relevant to the Great Lakes region and beyond.

Conclusions:

  • Proposed indicator species can guide conservation efforts by highlighting areas of high conservation value.
  • This method offers a broadly applicable framework for biodiversity conservation planning using existing databases.
  • The approach can aid in monitoring conservation effectiveness and identifying new areas for protection.