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Related Concept Videos

Habitat Fragmentation02:31

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Related Experiment Video

Updated: Jan 30, 2026

Assessing the Putative Anticryptococcal Properties of Crude and Clarified Extracts from Mollusks
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Functional responses in habitat selection: clarifying hypotheses and interpretations.

Joseph D Holbrook1,2, Lucretia E Olson2, Nicholas J DeCesare3

  • 1Haub School of Environment and Natural Resources, University of Wyoming, Laramie, Wyoming, 82072, USA.

Ecological Applications : a Publication of the Ecological Society of America
|January 18, 2019
PubMed
Summary

Animals adjust habitat use based on resource availability, a concept called functional response. This study identifies statistical issues in common modeling approaches and offers guidance for better understanding animal distributions and conservation.

Keywords:
Lynx canadensisRangifer tarandus cariboufunctional responsegeneralized linear mixed modelshabitat availabilityhabitat selectionhabitat useresource selection function

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Area of Science:

  • Ecology
  • Wildlife Management
  • Conservation Biology

Background:

  • Understanding animal distribution mechanisms is crucial for habitat ecology and management.
  • Traditional habitat selection studies often assume constant use relative to resource availability, an assumption challenged by evidence of context-dependent behavior (functional response).
  • Existing methods for modeling functional responses in habitat selection lack standardized evaluation, potentially impacting conservation outcomes.

Purpose of the Study:

  • To review and clarify the conceptual and statistical foundations of methods used to model functional responses in habitat selection.
  • To evaluate the similarities and differences among various modeling approaches using simulated and empirical data.
  • To provide guidance on robust methods for analyzing functional responses to improve animal ecology and management.

Main Methods:

  • Review of conceptual and statistical foundations of functional response modeling in habitat selection.
  • Evaluation of existing approaches using simulated and empirical datasets.
  • Identification and analysis of statistical issues within common modeling techniques.

Main Results:

  • Identified statistical challenges in widely used functional response models, including the role of individual-level intercepts and sensitivity to low resource availability data.
  • Highlighted discrepancies among different modeling approaches, affecting scientific and conservation conclusions.
  • Demonstrated management implications using data from Canada lynx and woodland caribou.

Conclusions:

  • Current methods for modeling functional responses in habitat selection possess statistical limitations that can influence ecological and conservation findings.
  • Guidance is provided for applying more robust approaches to enhance the understanding of animal habitat selection.
  • Clarifying functional response modeling aids in integrating this concept into mainstream habitat ecology and management practices for threatened species.