Removal modelling in ecology: A systematic review.
Oscar Rodriguez de Rivera1, Rachel McCrea1
1Statistical Ecology @ Kent, National Centre for Statistical Ecology, School of Mathematics, Statistics and Actuarial Science, University of Kent, Canterbury, United Kingdom.
Plos One
|March 4, 2021
Summary
Removal models, used for over 80 years to estimate population size, are crucial for wildlife management and translocation evaluations. This review unifies methodological developments for analyzing removal data.
Area of Science:
- Ecology
- Wildlife Management
- Population Dynamics
Background:
- Removal models were first developed over 80 years ago for population size estimation.
- These models are now widely applied in wildlife management for controlling undesirable species and evaluating translocation success.
Purpose of the Study:
- To provide a unified review of the literature on removal modelling.
- To highlight methodological developments in the analysis of removal data for ecologists.
Main Methods:
- Review of historical and recent literature on removal modelling techniques.
- Analysis of data collection protocols and methodological advancements.
Main Results:
- Removal models have evolved to better accommodate data complexities and changing assumptions.
- The fundamental data collection protocol (capture-removal at sampling occasions) remains consistent.
Conclusions:
- Removal modelling offers a relatively simple yet powerful approach for ecological studies.
- The technique's adaptability suggests a continued important role in future wildlife management and research.
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