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Beaver tree-cutting selectivity varies by colony and location. Multidimensional contingency tables reveal distinct preferences for tree genus and diameter, impacting foraging strategies.

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Area of Science:

  • Ecology
  • Behavioral Ecology
  • Statistical Modeling

Background:

  • Understanding animal foraging behavior is crucial for ecological studies.
  • Beaver (Castor canadensis) tree-cutting provides insights into resource selection.
  • Multidimensional contingency table analysis offers a novel approach to complex ecological data.

Purpose of the Study:

  • To analyze tree-cutting selectivity in two distinct beaver colonies using multidimensional contingency tables.
  • To investigate how genus and diameter influence tree selection by beavers.
  • To explore spatial variations in foraging strategies within a single beaver colony.

Main Methods:

  • Application of multidimensional contingency table analysis to tree-cutting data.
  • Statistical examination of tree genus and diameter preferences.
  • Comparison of selectivity patterns between two beaver colonies and among different sites.

Main Results:

  • Blue Heron Cove colony: Beavers selectively cut birch of all diameters but avoided large maples, pines, and oaks, exhibiting 'choosy generalist' behavior.
  • Tamplin Road Pond colony: Tree selection varied by site; near water, all diameters were cut, while farther away, smaller diameters were preferred.
  • Ironwood preference differed significantly across sites, suggesting localized resource assessment or varying nutritional content.

Conclusions:

  • Beaver tree-cutting selectivity is influenced by both tree characteristics (genus, diameter) and environmental factors (colony, site proximity).
  • The findings highlight the complexity of foraging decisions in beavers, potentially involving nutritional assessment and site-specific resource evaluation.
  • Multidimensional contingency tables are effective for dissecting intricate ecological interactions and behavioral patterns.