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Individual movement-sequence analysis method (IM-SAM) : characterizing spatio-temporal patterns of animal habitat use across landscapes

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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.
Keywords
DEER CAPREOLUS-CAPREOLUS, ROE DEER, HOME-RANGE, TEMPORAL SCALES, TRADE-OFFS, SPACE USE, TIME, RANDOMNESS, SELECTION, ALIGNMENT, Sequence dissimilarity, dendrogram, ungulates, spatio-temporal habitat, use, mechanistic movement model

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MLA
De Groeve, Johannes, et al. “Individual Movement-Sequence Analysis Method (IM-SAM) : Characterizing Spatio-Temporal Patterns of Animal Habitat Use across Landscapes.” INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE, 2020.
APA
De Groeve, J., Cagnacci, F., Ranc, N., Bonnot, N. C., Gehr, B., Heurich, M., … Van de Weghe, N. (2020). Individual movement-sequence analysis method (IM-SAM) : characterizing spatio-temporal patterns of animal habitat use across landscapes. INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE.
Chicago author-date
De Groeve, Johannes, Francesca Cagnacci, Nathan Ranc, Nadege C Bonnot, Benedikt Gehr, Marco Heurich, AJ Mark Hewison, et al. 2020. “Individual Movement-Sequence Analysis Method (IM-SAM) : Characterizing Spatio-Temporal Patterns of Animal Habitat Use across Landscapes.” INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE.
Chicago author-date (all authors)
De Groeve, Johannes, Francesca Cagnacci, Nathan Ranc, Nadege C Bonnot, Benedikt Gehr, Marco Heurich, AJ Mark Hewison, Max Kroeschel, John DC Linnell, Nicolas Morellet, Atle Mysterud, Robin Sandfort, and Nico Van de Weghe. 2020. “Individual Movement-Sequence Analysis Method (IM-SAM) : Characterizing Spatio-Temporal Patterns of Animal Habitat Use across Landscapes.” INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE.
Vancouver
1.
De Groeve J, Cagnacci F, Ranc N, Bonnot NC, Gehr B, Heurich M, et al. Individual movement-sequence analysis method (IM-SAM) : characterizing spatio-temporal patterns of animal habitat use across landscapes. INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE. 2020;
IEEE
[1]
J. De Groeve et al., “Individual movement-sequence analysis method (IM-SAM) : characterizing spatio-temporal patterns of animal habitat use across landscapes,” INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE, 2020.
@article{8635502,
  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.},
  author       = {De Groeve, Johannes and Cagnacci, Francesca and Ranc, Nathan and Bonnot, Nadege C and Gehr, Benedikt and Heurich, Marco and Hewison, AJ Mark and Kroeschel, Max and Linnell, John DC and Morellet, Nicolas and Mysterud, Atle and Sandfort, Robin and Van de Weghe, Nico},
  issn         = {1365-8816},
  journal      = {INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE},
  keywords     = {DEER CAPREOLUS-CAPREOLUS,ROE DEER,HOME-RANGE,TEMPORAL SCALES,TRADE-OFFS,SPACE USE,TIME,RANDOMNESS,SELECTION,ALIGNMENT,Sequence dissimilarity,dendrogram,ungulates,spatio-temporal habitat,use,mechanistic movement model},
  language     = {eng},
  title        = {Individual movement-sequence analysis method (IM-SAM) : characterizing spatio-temporal patterns of animal habitat use across landscapes},
  url          = {http://dx.doi.org/10.1080/13658816.2019.1594822},
  year         = {2020},
}

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