Combined effects of landscape fragmentation and sampling frequency of movement data on the assessment of landscape connectivity
Very high-resolution trajectories were generally necessary to accurately identify complex network topologies and avoid the generation of spurious information on landscape connectivity. New technologies providing such high-resolution datasets over long periods should thus grow in the movement ecology sphere. In addition, commonly used theoretical models should be applied with caution to the study of landscape connectivity in real-world systems as they did not perform well as predictive tools.
Authors
- Marie‐Caroline Prima (ORCID: https://orcid.org/0000-0001-9392-0022)
- Pascal Marchand (ORCID: https://orcid.org/0000-0002-0710-8861)
- Mathieu Garel (ORCID: https://orcid.org/0000-0002-5978-7122)
- Luca Börger (ORCID: https://orcid.org/0000-0001-8763-5997)
- James Redcliffe (ORCID: https://orcid.org/0009-0003-7054-8258)
- Florian Barnier (ORCID: https://orcid.org/0009-0004-3762-8974)
Institutions
- Swansea University (GB)
- French National Agency for Water and Aquatic Environments (FR)
- Fondation Pour la Recherche Sur la Biodiversité (FR)
- Structure et Instabilité des Génomes (FR)
Publication Details
- Journal
- Movement Ecology
- Published
- 2024-09-09
- DOI
- https://doi.org/10.1186/s40462-024-00492-8
- Citations
- 1
- Primary Topic
- Wildlife-Road Interactions and Conservation
- Type
- article
- Field-Weighted Citation Impact
- 0.46
Funders
- Ministry of Environment
- Office Français de la Biodiversité