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Mouvements Individuels - Méthode d'analyse de séquences (IM-SAM): caractérisation des patrons spatio-temporels de l'utilisation de l'habitat par les animaux à travers le paysage

Authors :
De Groeve, Johannes
Cagnacci, Francesca
Ranc, Nathan
Bonnot, Nadège C
Gehr, Benedikt
Heurich, Marco
Hewison, A J Mark
Kroeschel, Max
Linnell, John D C
Morellet, Nicolas
Mysterud, Atle
Sandfort, Robin
Van De Weghe, Nico
Universiteit Gent = Ghent University [Belgium] (UGENT)
Fondazione Edmund Mach - Edmund Mach Foundation [Italie] (FEM)
Harvard University [Cambridge]
Ecosystèmes forestiers (UR EFNO)
Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)
Universität Zürich [Zürich] = University of Zurich (UZH)
Bavarian Forest National Park
University of Freiburg [Freiburg]
Unité de recherche Comportement et Ecologie de la Faune Sauvage (CEFS)
Forest Research Institute Baden-Württemberg - Forstliche Versuchs- und Forschungsanstalt Baden-Württemberg
Norwegian Institute for Nature Research (NINA)
University of Oslo (UiO)
Universität für Bodenkultur Wien [Vienne, Autriche] (BOKU)
FEM-FIRST : 01sf2313
Bijzonder Onderzoeksfonds : 01sf2313
FWO : V417616N
Autonomous Province of Trento : 3479
Research Council of Norway : 251112
ANR-16-CE02-0010,Mov-It,Le mouvement des ongulés au sein de paysages hétérogènes: identification des processus comportementaux reliant les changements globaux aux performances démographiques et à la gestion spatialement explicite(2016)
University of Zurich
De Groeve, Johannes
Source :
International Journal of Geographical Information Science, International Journal of Geographical Information Science, Taylor & Francis, 2020, 34 (8), pp.1530-1551. ⟨10.1080/13658816.2019.1594822⟩
Publication Year :
2020
Publisher :
HAL CCSD, 2020.

Abstract

We present methodological advances to a recently developed framework to study sequential habitat use by animals using a visually-explicit and tree-based Sequence Analysis Method (SAM), derived from molecular biology and more recently used in time geography. Habitat use sequences are expressed as annotations obtained by intersecting GPS movement trajectories with environmental layers. Here, we develop IM-SAM, where we use the individual reference area of use as the reference spatial context. To assess IM-SAM’s applicability, we investigated the sequential use of open and closed habitats across multiple European roe deer populations ranging in landscapes with contrasting structure. Starting from simulated sequences based on a mechanistic movement model, we found that different sequential patterns of habitat use were distinguished as separate, robust clusters, with less variable cluster size when habitats were present in equal proportions within the individual reference area of use. Application on real roe deer sequences showed that our approach effectively captured variation in spatio-temporal patterns of sequential habitat use, and provided evidence for important behavioral processes, such as day-night habitat alternation. By characterizing sequential habitat use patterns of animals, we may better evaluate the temporal trade-offs in animal habitat use and how they are affected by changes in landscapes. Sequence dissimilarity; dendrogram; ungulates; spatio-temporal habitat use; mechanistic movement model

Details

Language :
English
ISSN :
13658816 and 13658824
Database :
OpenAIRE
Journal :
International Journal of Geographical Information Science, International Journal of Geographical Information Science, Taylor & Francis, 2020, 34 (8), pp.1530-1551. ⟨10.1080/13658816.2019.1594822⟩
Accession number :
edsair.doi.dedup.....7c9c4adc9d99f13bbedc958cc1f1fd79
Full Text :
https://doi.org/10.1080/13658816.2019.1594822⟩