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Clarifying space use concepts in ecology: Range vs. occurrence distributions.

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Understanding animal movement is key in ecology. This study clarifies two estimator types: range and occurrence distributions, showing range estimators are best for home ranges to avoid underestimation, especially with new tracking tech.

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Area of Science:

  • Ecology
  • Conservation Biology
  • Movement Ecology

Background:

  • Quantifying animal movements is crucial for ecological and conservation research.
  • Numerous methods for estimating animal home ranges have been developed over the past 50 years.
  • These methods broadly fall into two categories: range and occurrence distribution estimators.

Purpose of the Study:

  • To demonstrate the importance of correctly distinguishing between range and occurrence distribution estimators in animal movement analysis.
  • To highlight the potential negative consequences of conflating these two types of distributions for ecological inference and conservation.
  • To provide guidance on the appropriate use of each estimator type.

Main Methods:

  • Theoretical analysis of movement ecology concepts.
  • Computer simulations to test estimator performance.
  • Empirical analysis using real animal movement data.

Main Results:

  • Conflating range and occurrence distributions can lead to significant errors in ecological studies.
  • Estimators of occurrence distributions often result in home ranges that are smaller than actual use areas.
  • Improved tracking technology exacerbates the underestimation problem when using occurrence distribution estimators for home ranges.

Conclusions:

  • Home range estimation requires the use of range distribution estimators (e.g., kernel density estimation).
  • Occurrence distribution estimators (e.g., Brownian bridge movement models) are suitable for other movement questions like path crossing or location visits.
  • Appropriate selection of estimators is vital for accurate ecological inference and effective conservation strategies.