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Choice of analytical method can have dramatic effects on primate home range estimates
Cyril C Grueter1, Dayong Li, Baoping Ren
1Anthropological Institute and Museum, University of Zurich-Irchel, Zurich, Switzerland. ccgrueter@aim.uzh.ch
Primates; Journal of Primatology
|November 21, 2008
Summary
Estimating primate home range size requires careful method selection. An adjusted minimum convex polygon (MCP) method offers more accurate results for snub-nosed monkeys, especially with limited data, compared to the grid cell method.
Area of Science:
- Primate Ecology and Behavior
- Wildlife Biology
- Spatial Analysis in Ecology
Background:
- Home range size estimation in primates is highly sensitive to the analytical methods employed.
- Previous studies often show significant variation in home range estimates based on different techniques.
- The free-ranging snub-nosed monkey (Rhinopithecus bieti) in Yunnan, China, presents a case study for evaluating these methods.
Purpose of the Study:
- To compare the accuracy and robustness of different home range estimation methods for primates.
- To introduce and validate an adjusted polygon method for more precise home range calculations.
- To determine the most suitable analytical techniques based on primate ranging behavior and data limitations.
Main Methods:
- Comparison of the grid cell method and the minimum convex polygon (MCP) method.
- Development and application of an adjusted MCP method, excluding unsuitable and unvisited areas.
- Analysis of a dataset from free-ranging snub-nosed monkeys (Rhinopithecus bieti).
Main Results:
- The standard MCP method overestimates home range size, particularly for irregular ranging patterns.
- The adjusted MCP method provides more accurate estimates, especially when the number of group relocations is limited.
- The grid cell method yields more precise estimates for total or annual home ranges but is less robust with sparse data.
Conclusions:
- No single method is universally superior; the choice depends on the primate's ranging style and data availability.
- The adjusted MCP method is recommended for monthly and seasonal home range calculations, and the grid cell method for annual estimates.
- Thorough evaluation of home range estimators is crucial before fieldwork and data analysis to ensure reliable results.
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