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Wildlife population assessment: past developments and future directions
S T Buckland1, I B Goudie, D L Borchers
1School of Mathematics and Statistics, University of St. Andrews, North Haugh, Scotland. steve@mcs.st-and.ac.uk
Biometrics
|April 28, 2000
Summary
This review covers a century of wildlife population assessment methods, including mark-recapture, distance sampling, and harvest models. Future advancements will integrate GIS, automation, and improved ecological modeling for better conservation management.
Area of Science:
- Ecology and Wildlife Management
- Statistical Ecology
Background:
- Review of major developments in wildlife population assessment over the past century.
- Focus on three key areas: mark-recapture, distance sampling, and harvest models.
Observation:
- Identified key methodological advances expected in the next century.
- These include integration with Geographic Information Systems (GIS), automated survey design, and model-based inference.
Findings:
- Anticipated advances encompass a common inferential framework for diverse assessment methods.
- Improved estimation of population trends and embedding biological process models into inference are highlighted.
Implications:
- Development of advanced spatiotemporal ecosystem models and improved conservation management models.
- Greater emphasis on incorporating model selection uncertainty into ecological inference and wildlife assessment.
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