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Temporal segmentation of animal trajectories informed by habitat use

van Toor, Mariëlle L. (author)
Max Planck Institute for Ornithology, Germany;University of Konstanz, Germany
Newman, Scott H. (author)
Food and Agriculture Organization of the United Nations, Vietnam
Takekawa, John Y. (author)
U.S. Geological Survey, USA;National Audubon Society, USA
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Wegmann, Martin (author)
University of Würzburg, Germany
Safi, Kamran (author)
Max Planck Institute for Ornithology, Germany;University of Konstanz, Germany
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 (creator_code:org_t)
2016-10-20
2016
English.
In: Ecosphere. - : John Wiley & Sons. - 2150-8925 .- 2150-8925. ; 7:10, s. 1-16
  • Journal article (peer-reviewed)
Abstract Subject headings
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  • Most animals live in seasonal environments and experience very different conditions throughout the year. Behavioral strategies like migration, hibernation, and a life cycle adapted to the local seasonality help to cope with fluctuations in environmental conditions. Thus, how an individual utilizes the environment depends both on the current availability of habitat and the behavioral prerequisites of the individual at that time. While the increasing availability and richness of animal movement data has facilitated the development of algorithms that classify behavior by movement geometry, changes in the environmental correlates of animal movement have so far not been exploited for a behavioral annotation. Here, we suggest a method that uses these changes in individual–environment associations to divide animal location data into segments of higher ecological coherence, which we term niche segmentation. We use time series of random forest models to evaluate the transferability of habitat use over time to cluster observational data accordingly. We show that our method is able to identify relevant changes in habitat use corresponding to both changes in the availability of habitat and how it was used using simulated data, and apply our method to a tracking data set of common teal (Anas crecca). The niche segmentation proved to be robust, and segmented habitat suitability outperformed models neglecting the temporal dynamics of habitat use. Overall, we show that it is possible to classify animal trajectories based on changes of habitat use similar to geometric segmentation algorithms. We conclude that such an environmentally informed classification of animal trajectories can provide new insights into an individuals' behavior and enables us to make sensible predictions of how suitable areas might be connected by movement in space and time.

Subject headings

NATURVETENSKAP  -- Biologi -- Ekologi (hsv//swe)
NATURAL SCIENCES  -- Biological Sciences -- Ecology (hsv//eng)

Keyword

Ecology
Ekologi

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art (subject category)

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van Toor, Mariël ...
Newman, Scott H.
Takekawa, John Y ...
Wegmann, Martin
Safi, Kamran
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NATURAL SCIENCES
NATURAL SCIENCES
and Biological Scien ...
and Ecology
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Ecosphere
By the university
Linnaeus University

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