Why did the animal turn? Time‐varying step selection analysis for inference between observed turning‐points in high frequency data

Munden, Rhys; Börger, Luca; Wilson, Rory P.; Redcliffe, James; Brown, M. Rowan; Garel, Mathieu; Potts, Jonathan R.

doi:10.1111/2041-210x.13574

Cited by 27 publications

(35 citation statements)

References 63 publications

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“…Both these observations in Helodermatids were represented in our data, with our lizards showing reduced intra-lizard activity (via VeDBA), high turn angles, and short step lengths at low temperatures and low barometric pressures, which are indicative of foraging. Against this, animals increased VeDBA, which is a good proxy for speed, and step lengths while decreasing turn angles at higher ambient temperatures, which minimizes the time and energy invested in travel (Munden et al, 2021), especially in complex landscapes with steep slopes (Dunford et al, 2020), which is the case of the landscape at our study site. Despite the extremely rugged terrain at our study site, lizards do not follow ridgelines or streams, and move crossing gulleys and hilltops, which represent high energetic costs related to movement within the landscape.…”

Section: Temperature and Barometric Pressure Effects On Activity Inte...mentioning

confidence: 88%

Temperature and barometric pressure affect the activity intensity and movement of an endangered thermoconforming lizard

et al. 2022

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Global warming is expected to affect movement-related thermoregulation in ectotherms, but the likely effects on thermoconforming lizards, which spend little energy in thermoregulation behavior, are unclear. We used the Guatemalan beaded lizard (Heloderma charlesbogerti) as a model thermoconforming species to investigate the effects of ambient temperature and barometric pressure (a cue for rain in the study area) on activity intensity and the structure of movement paths. We tracked 12 individuals over a total of 148 animal days during the wet season of 2019 using Global Positioning System tags and triaxial accelerometry. We found a clear positive effect of ambient temperature on activity (using vectorial dynamic body acceleration [VeDBA]) and step length of lizard movements. The movement also became more directional (longer step lengths and smaller turning angles) with increasing ambient temperatures. There was a small negative effect of barometric pressure on VeDBA. We propose that our patterns are indicative of internal state changes in the animals, as they move from a state of hunger, eliciting foraging, which is enhanced by lower temperatures and rainfall to a thermally stressed state, which initiates shelter-seeking. Our findings highlight the sensitivity of this species to temperature change, show that not all thermoconforming lizards are thermal generalists, and indicate that predicted regional increases in temperature and reduction in rainfall are likely to negatively impact this species by reducing the width of their operational thermal window.

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Section: Temperature and Barometric Pressure Effects On Activity Inte...mentioning

confidence: 88%

Temperature and barometric pressure affect the activity intensity and movement of an endangered thermoconforming lizard

et al. 2022

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“…However, we did not directly test these hypotheses, which could be investigated in future research. Inherently, step selection analyses are sensitive to the spatial and temporal scale of the telemetry and covariate data (Munden et al, 2021). In the ESF, the spatial scale of the energetic covariates needs to be fine enough that it is possible to observe preference at the scale of the observed movement steps.…”

Section: Discussion Of the Polar Bear Case Studymentioning

confidence: 99%

Energy‐based step selection analysis: Modelling the energetic drivers of animal movement and habitat use

Klappstein

Potts

Michelot

et al. 2022

Journal of Animal Ecology

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The energetic gains from foraging and costs of movement are expected to be key drivers of animal decision‐making, as their balance is a large determinant of body condition and survival. This fundamental perspective is often missing from habitat selection studies, which mainly describe correlations between space use and environmental features, rather than the mechanisms behind these correlations. To address this gap, we present a novel parameterisation of step selection functions (SSFs), that we term the energy selection function (ESF). In this model, the likelihood of an animal selecting a movement step depends directly on the corresponding energetic gains and costs, and we can therefore assess how moving animals choose habitat based on energetic considerations. The ESF retains the mathematical convenience and practicality of other SSFs and can be quickly fitted using standard software. In this article, we outline a workflow, from data gathering to statistical analysis, and use a case study of polar bears Ursus maritimus to demonstrate application of the model. We explain how defining gains and costs at the scale of the movement step allows us to include information about resource distribution, landscape resistance and movement patterns. We further demonstrate this process with a case study of polar bears and show how the parameters can be interpreted in terms of selection for energetic gains and against energetic costs. The ESF is a flexible framework that combines the energetic consequences of both movement and resource selection, thus incorporating a key mechanism into habitat selection analysis. Further, because it is based on familiar habitat selection models, the ESF is widely applicable to any study system where energetic gains and costs can be derived, and has immense potential for methodological extensions.

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“…While RSFs are broad-scale measures of animal movement and habitat use, SSFs allow for more finely resolved measures (Munden et al, 2021) to provide insights into which food items are used by animals (i.e. foraging locations identified through behavioural segmentations, described below or pre-capture events identified through sensor technologies; Williams et al, 2020) as well as their nutritional values within different locations.…”

Section: Resources Available To and Selected By Animals In Source And Recipient Locationsmentioning

confidence: 99%

A methodological roadmap to quantify animal‐vectored spatial ecosystem subsidies

Ellis-Soto

Ferraro

Rizzuto

et al. 2021

Journal of Animal Ecology

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Ecosystems are open systems connected through spatial flows of energy, matter, and nutrients.Predicting and managing ecosystem interdependence requires a rigorous quantitative understanding of the drivers and vectors that connect ecosystems across spatio-temporal scales. Animals act as such vectors when they transport nutrients across landscapes in the form of excreta, egesta, and their own bodies. Here, we introduce a methodological roadmap that combines movement, foraging, and ecosystem ecology to study the effects of animal-vectored nutrient transport on meta-ecosystems. The meta-ecosystem concept -the notion that ecosystems are connected in space and time by flows of energy, matter, and organisms across boundaries -provides a theoretical framework on which to base our understanding of animalvectored nutrient transport. However, partly due to its high level of abstraction, there are few empirical tests of meta-ecosystem theory, and while we may label animals as important mediators of ecosystem services, we lack predictive inference of their relative roles and impacts on diverse ecosystems. Recently developed technologies and methods -tracking devices, mechanistic movement models, diet reconstruction techniques and remote sensing -have the potential to facilitate the quantification of animal-vectored nutrient flows and increase the predictive power of meta-ecosystem theory. Understanding the mechanisms by which animals shape ecosystem dynamics may be important for ongoing conservation, rewilding, and restoration initiatives around the world, and for more accurate models of ecosystem nutrient budgets. We provide conceptual examples that show how our proposed integration of methodologies could help investigate ecosystem impacts of animal movement. We conclude by describing practical applications to understanding cross-ecosystem contributions of animals on the move.

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Why did the animal turn? Time‐varying step selection analysis for inference between observed turning‐points in high frequency data

Cited by 27 publications

References 63 publications

Temperature and barometric pressure affect the activity intensity and movement of an endangered thermoconforming lizard

Temperature and barometric pressure affect the activity intensity and movement of an endangered thermoconforming lizard

Energy‐based step selection analysis: Modelling the energetic drivers of animal movement and habitat use

A methodological roadmap to quantify animal‐vectored spatial ecosystem subsidies

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