The 4th Dimension in Animal Movement: The Effect of Temporal Resolution and Landscape Configuration in Habitat‐Selection Analyses
ABSTRACT Understanding how animals use their habitat is essential to understand their biology and support conservation efforts. Technological advances in tracking technologies allow us to follow animals at increasingly fine temporal resolutions. Yet, how tracking devices' sampling intervals imp...
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Wiley
2025-05-01
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| Series: | Ecology and Evolution |
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| Online Access: | https://doi.org/10.1002/ece3.71434 |
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| author | Johannes Signer Cédric Scherer Viktoriia Radchuk Carolin Scholz Florian Jeltsch Stephanie Kramer‐Schadt |
| author_facet | Johannes Signer Cédric Scherer Viktoriia Radchuk Carolin Scholz Florian Jeltsch Stephanie Kramer‐Schadt |
| author_sort | Johannes Signer |
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| description | ABSTRACT Understanding how animals use their habitat is essential to understand their biology and support conservation efforts. Technological advances in tracking technologies allow us to follow animals at increasingly fine temporal resolutions. Yet, how tracking devices' sampling intervals impact results remains unclear, as well as which method to use. Using simulations and empirical data from wild boars tracked in Germany, we systematically examine how the temporal resolution of movement data in interaction with the spatial autocorrelation of the landscape affects the outcomes of two common techniques for analyzing habitat selection: resource‐selection analysis (RSA) and an autocorrelation‐informed weighted derivative (wRSA) as well as integrated step‐selection analysis (iSSA). Each method differs in the definition of “available” locations (RSA) and the implementation of the movement model during parameter estimation (iSSA). Our simulations suggested that landscape autocorrelation has a much stronger effect on the estimated selection coefficients and their variability than the sampling interval. Higher sampling intervals (i.e., longer time between steps) are required for landscapes with high autocorrelation, enabling the animal to experience enough variability in clumped landscapes. Short sampling intervals generally lead to higher variability and fewer statistically significant estimates (in particular for wRSA). Our results complement recent attempts to outline a coherent framework for habitat‐selection analyses and to explain them to practitioners. We further contribute to these efforts by assessing the sensitivity of two commonly used methods, RSA and iSSA, to the changes in sampling interval of movement data. We expect our findings to further raise awareness of pitfalls underlying the comparison of estimated selection coefficients obtained in different studies and to assist movement ecologists in choosing the appropriate method for habitat‐selection analysis. |
| format | Article |
| id | doaj-art-871efeeeef15441dae0f4bb4373baec2 |
| institution | OA Journals |
| issn | 2045-7758 |
| language | English |
| publishDate | 2025-05-01 |
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| series | Ecology and Evolution |
| spelling | doaj-art-871efeeeef15441dae0f4bb4373baec22025-08-20T02:34:20ZengWileyEcology and Evolution2045-77582025-05-01155n/an/a10.1002/ece3.71434The 4th Dimension in Animal Movement: The Effect of Temporal Resolution and Landscape Configuration in Habitat‐Selection AnalysesJohannes Signer0Cédric Scherer1Viktoriia Radchuk2Carolin Scholz3Florian Jeltsch4Stephanie Kramer‐Schadt5Wildlife Sciences, Faculty for Forestry and Forest Ecology University of Goettingen Göttingen GermanyDepartment of Ecological Dynamics Leibniz Institute for Zoo and Wildlife Research Berlin GermanyDepartment of Ecological Dynamics Leibniz Institute for Zoo and Wildlife Research Berlin GermanyDepartment of Ecological Dynamics Leibniz Institute for Zoo and Wildlife Research Berlin GermanyInstitute of Biochemistry and Biology University of Potsdam Potsdam GermanyDepartment of Ecological Dynamics Leibniz Institute for Zoo and Wildlife Research Berlin GermanyABSTRACT Understanding how animals use their habitat is essential to understand their biology and support conservation efforts. Technological advances in tracking technologies allow us to follow animals at increasingly fine temporal resolutions. Yet, how tracking devices' sampling intervals impact results remains unclear, as well as which method to use. Using simulations and empirical data from wild boars tracked in Germany, we systematically examine how the temporal resolution of movement data in interaction with the spatial autocorrelation of the landscape affects the outcomes of two common techniques for analyzing habitat selection: resource‐selection analysis (RSA) and an autocorrelation‐informed weighted derivative (wRSA) as well as integrated step‐selection analysis (iSSA). Each method differs in the definition of “available” locations (RSA) and the implementation of the movement model during parameter estimation (iSSA). Our simulations suggested that landscape autocorrelation has a much stronger effect on the estimated selection coefficients and their variability than the sampling interval. Higher sampling intervals (i.e., longer time between steps) are required for landscapes with high autocorrelation, enabling the animal to experience enough variability in clumped landscapes. Short sampling intervals generally lead to higher variability and fewer statistically significant estimates (in particular for wRSA). Our results complement recent attempts to outline a coherent framework for habitat‐selection analyses and to explain them to practitioners. We further contribute to these efforts by assessing the sensitivity of two commonly used methods, RSA and iSSA, to the changes in sampling interval of movement data. We expect our findings to further raise awareness of pitfalls underlying the comparison of estimated selection coefficients obtained in different studies and to assist movement ecologists in choosing the appropriate method for habitat‐selection analysis.https://doi.org/10.1002/ece3.71434animal movementhabitat selectionparameter estimationresource‐selection functionsampling intervalsensitivity |
| spellingShingle | Johannes Signer Cédric Scherer Viktoriia Radchuk Carolin Scholz Florian Jeltsch Stephanie Kramer‐Schadt The 4th Dimension in Animal Movement: The Effect of Temporal Resolution and Landscape Configuration in Habitat‐Selection Analyses Ecology and Evolution animal movement habitat selection parameter estimation resource‐selection function sampling interval sensitivity |
| title | The 4th Dimension in Animal Movement: The Effect of Temporal Resolution and Landscape Configuration in Habitat‐Selection Analyses |
| title_full | The 4th Dimension in Animal Movement: The Effect of Temporal Resolution and Landscape Configuration in Habitat‐Selection Analyses |
| title_fullStr | The 4th Dimension in Animal Movement: The Effect of Temporal Resolution and Landscape Configuration in Habitat‐Selection Analyses |
| title_full_unstemmed | The 4th Dimension in Animal Movement: The Effect of Temporal Resolution and Landscape Configuration in Habitat‐Selection Analyses |
| title_short | The 4th Dimension in Animal Movement: The Effect of Temporal Resolution and Landscape Configuration in Habitat‐Selection Analyses |
| title_sort | 4th dimension in animal movement the effect of temporal resolution and landscape configuration in habitat selection analyses |
| topic | animal movement habitat selection parameter estimation resource‐selection function sampling interval sensitivity |
| url | https://doi.org/10.1002/ece3.71434 |
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