Simulating animal space use from fitted integrated Step-Selection Functions (iSSF)

Article Ecology

Defining null expectations for animal site fidelity

Simona Picardi et al.

Summary: Site fidelity, which refers to the tendency of individuals to return to previously visited locations, is influenced by various mechanisms such as memory, habitat selection, or chance. However, existing definitions often group different mechanisms under the same label of 'site fidelity', assuming memory as the main driver. In this study, we propose an operational definition of site fidelity that deviates from a null expectation derived from a memory-free movement model. We demonstrate through agent-based simulations that movement characteristics and landscape characteristics play important roles in generating return patterns, even in the absence of memory. We also provide a framework for establishing system-specific null expectations for site fidelity, allowing for hypothesis testing across different systems and scales.

ECOLOGY LETTERS (2023)

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Article Biodiversity Conservation

Predicted connectivity pathways between grizzly bear ecosystems in Western Montana

Sarah N. Sells et al.

Summary: Habitat and corridor mapping are crucial for conservation programs. This study used integrated step selection functions (iSSFs) developed from GPS-collared grizzly bears to predict areas of connectivity and evaluate conservation goals in the US.

BIOLOGICAL CONSERVATION (2023)

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Review Ecology

Understanding step selection analysis through numerical integration

Theo Michelot et al.

Summary: Step selection functions are flexible statistical models used to describe animal movement and habitat preferences. However, there has been confusion in the literature regarding model flexibility and interpretation. In this review, a coherent framework for model formulation and inference technique is presented using numerical integration and maximum likelihood estimation.

METHODS IN ECOLOGY AND EVOLUTION (2023)

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Article Ecology

A 'How to' guide for interpreting parameters in habitat-selection analyses

John Fieberg et al.

Summary: Habitat-selection analyses and integrated step-selection analyses are useful for linking animals to their environment, commonly used in wildlife management and conservation. However, many users struggle with interpreting parameters in these analyses, and using weighted distribution theory and Poisson point process can facilitate parameter interpretation.

JOURNAL OF ANIMAL ECOLOGY (2021)

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Article Ecology

Some Memories Never Fade: Inferring Multi-Scale Memory Effects on Habitat Selection of a Migratory Ungulate Using Step-Selection Functions

Helena Rheault et al.

Summary: The study reveals the significant influence of spatial experience on mule deer's habitat selection across different seasons, with short-term and long-term memory playing important roles in driving seasonal range habitat selection. Mule deer are able to update their cognitive map of seasonal ranges in real time and retain long-term information, supporting the theory that memory is a mechanism leading to emergent space-use patterns such as site fidelity.

FRONTIERS IN ECOLOGY AND EVOLUTION (2021)

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Article Ecology