ArticleThe Journal of animal ecology2023
How to scale up from animal movement decisions to spatiotemporal patterns: An approach via step selection.
Article in The Journal of animal ecology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.
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Who cites it
22 citing papers in PubMed.
- Understanding mammal avoidance of human settlements.The Journal of animal ecology · 2026Article
- Three-Dimensional Correlated Random Walks for Animal Movement and Habitat Selection.Ecology letters · 2026Article
- Consistent multiscale modelling of movement and habitat selection.Journal of mathematical biology · 2026Article
- Integrating multiple observation data sources to facilitate movement modelling of killer whale pods.Movement ecology · 2026Article
- Estimating Environmental Transmission Risk From Host Movement Data.Ecology and evolution · 2025Article
- Sex-specific resource strategies mediate home range sizes of an endangered carnivore across multiple scales.Scientific reports · 2025Article
- Impact of incubation and gestation periods on the dynamics of a spatially heterogeneous eco-epidemiological model.Scientific reports · 2025Article
- Understanding and predicting animal movements and distributions in the Anthropocene.The Journal of animal ecology · 2025Review
- Expanding National-Scale Wildlife Disease Surveillance Systems With Research Networks.Ecology and evolution · 2025Article
- Aggregation-diffusion in heterogeneous environments.Journal of mathematical biology · 2025Article
- Spaceborne and UAV-LiDAR reveal hammer-headed bat preference for intermediate canopy height and diverse structure in a Central African rainforest.Movement ecology · 2025Article
- An introduction to statistical models used to characterize species-habitat associations with animal movement data.Movement ecology · 2025Review
- Towards transient space-use dynamics: re-envisioning models of utilization distribution and their applications.Movement ecology · 2025Article
- How do non-independent host movements affect spatio-temporal disease dynamics? Partitioning the contributions of spatial overlap and correlated movements to transmission risk.Movement ecology · 2025Article
- Three-dimensional vegetation structure drives patterns of seed dispersal by African hornbills.The Journal of animal ecology · 2024Article
- Identifying signals of memory from observations of animal movements.Movement ecology · 2024Review
- Bridging the gap between movement data and connectivity analysis using the Time-Explicit Habitat Selection (TEHS) model.Movement ecology · 2024Article
- Looking forwards and backwards: dynamics and genealogies of locally regulated populations.ArXiv · 2023Article
- Individual variation in the habitat selection of upstream migrating fish near a barrier.Movement ecology · 2023Article
- Flexible hidden Markov models for behaviour-dependent habitat selection.Movement ecology · 2023Article
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Uncovering the mechanisms behind animal space use patterns is of vital importance for predictive ecology, thus conservation and management of ecosystems. Movement is a core driver of those patterns so understanding how movement mechanisms give rise to space use patterns has become an increasingly active area of research. This study focuses on a particular strand of research in this area, based around step selection analysis (SSA). SSA is a popular way of inferring drivers of movement decisions, but, perhaps less well appreciated, it also parametrises a model of animal movement. Of key interest is that this model can be propagated forwards in time to predict the space use patterns over broader spatial and temporal scales than those that pertain to the proximate movement decisions of animals. Here, we provide a guide for understanding and using the various existing techniques for scaling up step selection models to predict broad-scale space use patterns. We give practical guidance on when to use which technique, as well as specific examples together with code in R and Python. By pulling together various disparate techniques into one place, and providing code and instructions in simple examples, we hope to highlight the importance of these techniques and make them accessible to a wider range of ecologists, ultimately helping expand the usefulness of SSA.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.