Publikation:

A dynamic Brownian bridge movement model to estimate utilization distributions for heterogeneous animal movement

Lade...
Vorschaubild

Dateien

Zu diesem Dokument gibt es keine Dateien.

Datum

2012

Herausgeber:innen

Kontakt

ISSN der Zeitschrift

Electronic ISSN

ISBN

Bibliografische Daten

Verlag

Schriftenreihe

Auflagebezeichnung

ArXiv-ID

Internationale Patentnummer

Angaben zur Forschungsförderung

Projekt

Open Access-Veröffentlichung
Core Facility der Universität Konstanz

Gesperrt bis

Titel in einer weiteren Sprache

Publikationstyp
Zeitschriftenartikel
Publikationsstatus
Published

Erschienen in

Journal of Animal Ecology. 2012, 81(4), pp. 738-746. ISSN 0021-8790. eISSN 1365-2656. Available under: doi: 10.1111/j.1365-2656.2012.01955.x

Zusammenfassung

1. The recently developed Brownian bridge movement model (BBMM) has advantages over traditional methods because it quantifies the utilization distribution of an animal based on its movement path rather than individual points and accounts for temporal autocorrelation and high data volumes. However, the BBMM assumes unrealistic homogeneous movement behaviour across all data.



2. Accurate quantification of the utilization distribution is important for identifying the way animals use the landscape.



3. We improve the BBMM by allowing for changes in behaviour, using likelihood statistics to determine change points along the animal's movement path.



4. This novel extension, outperforms the current BBMM as indicated by simulations and examples of a territorial mammal and a migratory bird. The unique ability of our model to work with tracks that are not sampled regularly is especially important for GPS tags that have frequent failed fixes or dynamic sampling schedules. Moreover, our model extension provides a useful one-dimensional measure of behavioural change along animal tracks.



5. This new method provides a more accurate utilization distribution that better describes the space use of realistic, behaviourally heterogeneous tracks.

Zusammenfassung in einer weiteren Sprache

Fachgebiet (DDC)
570 Biowissenschaften, Biologie

Schlagwörter

behavioural change, encounter probability, GPS, home range, utilization distribution

Konferenz

Rezension
undefined / . - undefined, undefined

Forschungsvorhaben

Organisationseinheiten

Zeitschriftenheft

Zugehörige Datensätze in KOPS

Zitieren

ISO 690KRANSTAUBER, Bart, Roland KAYS, Scott LAPOINT, Martin WIKELSKI, Kamran SAFI, 2012. A dynamic Brownian bridge movement model to estimate utilization distributions for heterogeneous animal movement. In: Journal of Animal Ecology. 2012, 81(4), pp. 738-746. ISSN 0021-8790. eISSN 1365-2656. Available under: doi: 10.1111/j.1365-2656.2012.01955.x
BibTex
@article{Kranstauber2012-07dynam-21947,
  year={2012},
  doi={10.1111/j.1365-2656.2012.01955.x},
  title={A dynamic Brownian bridge movement model to estimate utilization distributions for heterogeneous animal movement},
  number={4},
  volume={81},
  issn={0021-8790},
  journal={Journal of Animal Ecology},
  pages={738--746},
  author={Kranstauber, Bart and Kays, Roland and LaPoint, Scott and Wikelski, Martin and Safi, Kamran}
}
RDF
<rdf:RDF
    xmlns:dcterms="http://purl.org/dc/terms/"
    xmlns:dc="http://purl.org/dc/elements/1.1/"
    xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#"
    xmlns:bibo="http://purl.org/ontology/bibo/"
    xmlns:dspace="http://digital-repositories.org/ontologies/dspace/0.1.0#"
    xmlns:foaf="http://xmlns.com/foaf/0.1/"
    xmlns:void="http://rdfs.org/ns/void#"
    xmlns:xsd="http://www.w3.org/2001/XMLSchema#" > 
  <rdf:Description rdf:about="https://kops.uni-konstanz.de/server/rdf/resource/123456789/21947">
    <dcterms:available rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2013-02-19T10:52:24Z</dcterms:available>
    <dc:contributor>Safi, Kamran</dc:contributor>
    <bibo:uri rdf:resource="http://kops.uni-konstanz.de/handle/123456789/21947"/>
    <dc:language>eng</dc:language>
    <dc:date rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2013-02-19T10:52:24Z</dc:date>
    <dc:contributor>Kays, Roland</dc:contributor>
    <dcterms:issued>2012-07</dcterms:issued>
    <dcterms:isPartOf rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/28"/>
    <dc:contributor>Kranstauber, Bart</dc:contributor>
    <dc:contributor>Wikelski, Martin</dc:contributor>
    <dcterms:title>A dynamic Brownian bridge movement model to estimate utilization distributions for heterogeneous animal movement</dcterms:title>
    <dcterms:abstract xml:lang="eng">1. The recently developed Brownian bridge movement model (BBMM) has advantages over traditional methods because it quantifies the utilization distribution of an animal based on its movement path rather than individual points and accounts for temporal autocorrelation and high data volumes. However, the BBMM assumes unrealistic homogeneous movement behaviour across all data.&lt;br /&gt;&lt;br /&gt;&lt;br /&gt;&lt;br /&gt;2. Accurate quantification of the utilization distribution is important for identifying the way animals use the landscape.&lt;br /&gt;&lt;br /&gt;&lt;br /&gt;&lt;br /&gt;3. We improve the BBMM by allowing for changes in behaviour, using likelihood statistics to determine change points along the animal's movement path.&lt;br /&gt;&lt;br /&gt;&lt;br /&gt;&lt;br /&gt;4. This novel extension, outperforms the current BBMM as indicated by simulations and examples of a territorial mammal and a migratory bird. The unique ability of our model to work with tracks that are not sampled regularly is especially important for GPS tags that have frequent failed fixes or dynamic sampling schedules. Moreover, our model extension provides a useful one-dimensional measure of behavioural change along animal tracks.&lt;br /&gt;&lt;br /&gt;&lt;br /&gt;&lt;br /&gt;5. This new method provides a more accurate utilization distribution that better describes the space use of realistic, behaviourally heterogeneous tracks.</dcterms:abstract>
    <dcterms:bibliographicCitation>Journal of Animal Ecology ; 81 (2012), 4. - S. 738-746</dcterms:bibliographicCitation>
    <void:sparqlEndpoint rdf:resource="http://localhost/fuseki/dspace/sparql"/>
    <dc:creator>Safi, Kamran</dc:creator>
    <dc:rights>terms-of-use</dc:rights>
    <dcterms:rights rdf:resource="https://rightsstatements.org/page/InC/1.0/"/>
    <dc:creator>Kays, Roland</dc:creator>
    <foaf:homepage rdf:resource="http://localhost:8080/"/>
    <dc:creator>LaPoint, Scott</dc:creator>
    <dc:creator>Wikelski, Martin</dc:creator>
    <dspace:isPartOfCollection rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/28"/>
    <dc:creator>Kranstauber, Bart</dc:creator>
    <dc:contributor>LaPoint, Scott</dc:contributor>
  </rdf:Description>
</rdf:RDF>

Interner Vermerk

xmlui.Submission.submit.DescribeStep.inputForms.label.kops_note_fromSubmitter

Kontakt
URL der Originalveröffentl.

Prüfdatum der URL

Prüfungsdatum der Dissertation

Finanzierungsart

Kommentar zur Publikation

Allianzlizenz
Corresponding Authors der Uni Konstanz vorhanden
Internationale Co-Autor:innen
Universitätsbibliographie
Ja
Begutachtet
Diese Publikation teilen