Predicting fine‐scale distributions and emergent spatiotemporal patterns from temporally dynamic step selection simulations

Forrest, S.W. orcid.org/0000-0001-9529-0108, Pagendam, D. orcid.org/0000-0002-8347-4767, Bode, M. orcid.org/0000-0002-5886-4421 et al. (5 more authors) (2024) Predicting fine‐scale distributions and emergent spatiotemporal patterns from temporally dynamic step selection simulations. Ecography. e07421. ISSN 0906-7590

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Item Type: Article
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© 2024 Commonwealth Scientific and Industrial Research Organisation and The Author(s). Ecography published by John Wiley & Sons Ltd on behalf of Nordic Society Oikos. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. http://creativecommons.org/licenses/by/3.0/

Keywords: circadian; fine-scale dynamics; harmonics; landscape-scale distributions; simulated trajectories; temporal dynamics
Dates:
  • Published: 12 December 2024
  • Published (online): 12 December 2024
  • Accepted: 17 September 2024
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Science (Sheffield) > School of Mathematical and Physical Sciences
Depositing User: Symplectic Sheffield
Date Deposited: 17 Dec 2024 11:46
Last Modified: 17 Dec 2024 11:46
Status: Published online
Publisher: Wiley
Refereed: Yes
Identification Number: 10.1111/ecog.07421
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