Journal article 534 views 282 downloads
How to scale up from animal movement decisions to spatiotemporal patterns: An approach via step selection
,
Luca Borger
Journal of Animal Ecology, Volume: 92, Issue: 1, Pages: 16 - 29
Swansea University Author:
Luca Borger
-
PDF | Version of Record
© 2022 The Authors. This is an open access article under the terms of the Creative Commons Attribution License
Download (1.89MB)
DOI (Published version): 10.1111/1365-2656.13832
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 ac...
| Published in: | Journal of Animal Ecology |
|---|---|
| ISSN: | 0021-8790 1365-2656 |
| Published: |
Wiley
2023
|
| Online Access: |
Check full text
|
| URI: | https://cronfa.swan.ac.uk/Record/cronfa62065 |
| Tags: |
Add Tag
No Tags, Be the first to tag this 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. |
|---|---|
| Keywords: |
home range, individual-based models, integro-difference equations, movement ecology, partial differential equations, space use, step selection, utilisation distribution |
| College: |
Faculty of Science and Engineering |
| Funders: |
Engineering and Physical Sciences Research Council, Grant/Award Number: EP/V002988/1 |
| Issue: |
1 |
| Start Page: |
16 |
| End Page: |
29 |