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An integrated sampling and analysis approach for improved biodiversity monitoring

Environmental Management

By:
and

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Abstract

Successful biodiversity conservation requires high quality monitoring data and analyses to ensure scientifically defensible policy, legislation, and management. Although monitoring is a critical component in assessing population status and trends, many governmental and non-governmental organizations struggle to develop and implement effective sampling protocols and statistical analyses because of the magnitude and diversity of species in conservation concern. In this article we describe a practical and sophisticated data collection and analysis framework for developing a comprehensive wildlife monitoring program that includes multi-species inventory techniques and community-level hierarchical modeling. Compared to monitoring many species individually, the multi-species approach allows for improved estimates of individual species occurrences, including rare species, and an increased understanding of the aggregated response of a community to landscape and habitat heterogeneity. We demonstrate the benefits and practicality of this approach to address challenges associated with monitoring in the context of US state agencies that are legislatively required to monitor and protect species in greatest conservation need. We believe this approach will be useful to regional, national, and international organizations interested in assessing the status of both common and rare species.

Additional Publication Details

Publication type:
Article
Publication Subtype:
Journal Article
Title:
An integrated sampling and analysis approach for improved biodiversity monitoring
Series title:
Environmental Management
Volume
45
Issue:
5
Year Published:
2010
Language:
English
Publisher:
Springer
Publisher location:
Netherlands
Contributing office(s):
Patuxent Wildlife Research Center
Description:
8 p.
Larger Work Type:
Article
Larger Work Subtype:
Journal Article
Larger Work Title:
Environmental Management
First page:
1223
Last page:
1230
Number of Pages:
8