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The sampling characteristics of electivity indices.
1Department of Biology, McGill University, 1205 Avenue Docteur Penfield, H3A 1B1, Montreal, Quebec, Canada.
Oecologia
|March 18, 2017
Summary
Different electivity indices reveal varying food preferences in gypsy moths. The Vanderploeg and Scavia
Area of Science:
- Ecology
- Animal Behavior
- Quantitative Ecology
Background:
- Electivity indices quantify food selection by comparing diet proportions (r) to environmental availability (p).
- Numerous electivity indices exist, derived from Ivlev's work, each with unique algorithms and properties.
- Assessing the strengths and weaknesses of these indices is crucial for accurate ecological interpretation.
Purpose of the Study:
- To compare the performance of various electivity indices.
- To evaluate host tree preferences of gypsy moths (Lymantria dispar) using different electivity indices.
- To recommend the most suitable electivity index for ecological studies.
Main Methods:
- Graphical analysis of electivity index values across all combinations of diet proportion (r) and availability (p).
- Evaluation of indices based on criteria: value at r=p, symmetry, range, linearity, sensitivity to error, testability, and stability.
- Application of selected indices to gypsy moth feeding data on 19 host tree species in Quebec.
Main Results:
- No single electivity index perfectly satisfies all evaluation criteria.
- Different indices produced conflicting results regarding host tree preference and avoidance.
- Rank order of host tree preference was largely consistent across indices, except for Strauss' linear index (L).
- Gypsy moths showed strong preference for Populus grandidentata, Quercus rubra, Ostrya virginiana, and Amelanchier.
- Gypsy moths avoided Prunus serotina, Acer pensylvanicum, A. rubrum, Betula lutea, and Fraxinus americana.
Conclusions:
- The choice of electivity index significantly impacts the interpretation of feeding preferences.
- The Vanderploeg and Scavia's relativized electivity index (E*) is recommended for its robust performance.
- Understanding index limitations is vital for accurate ecological assessments of consumer-resource interactions.
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