Publikation:

Automated image-based tracking and its application in ecology

Vorschaubild

Dateien

Dell_0-260690.pdf
Dell_0-260690.pdfGröße: 1.67 MBDownloads: 1726

Datum

2014

Autor:innen

Dell, Anthony I.
Bender, John A.
Branson, Kristin
de Polavieja, Gonzalo G.
Noldus, Lucas P. J. J.
Pérez-Escudero, Alfonso
Perona, Pietro
Straw, Andrew D.
1 mehr anzeigen

Herausgeber:innen

Kontakt

ISSN der Zeitschrift

Electronic ISSN

ISBN

Bibliografische Daten

Verlag

Schriftenreihe

Auflagebezeichnung

URI (zitierfähiger Link)
http://nbn-resolving.de/urn:nbn:de:bsz:352-0-260690
DOI (zitierfähiger Link)
https://doi.org/10.1016/j.tree.2014.05.004
ArXiv-ID

Internationale Patentnummer

Link zur Lizenz
Urheberrechtlich geschützt

Angaben zur Forschungsförderung

Projekt

Open Access-Veröffentlichung
Open Access Green

Sammlungen

Biologie: Publikationen
Core Facility der Universität Konstanz

Gesperrt bis

Titel in einer weiteren Sprache

Publikationstyp
Zeitschriftenartikel
Publikationsstatus
Published

Erschienen in

Trends in Ecology & Evolution. 2014, 29(7), pp. 417-428. ISSN 0169-5347. eISSN 1872-8383. Available under: doi: 10.1016/j.tree.2014.05.004

Zusammenfassung

The behavior of individuals determines the strength and outcome of ecological interactions, which drive population, community, and ecosystem organization. Bio-logging, such as telemetry and animal-borne imaging, provides essential individual viewpoints, tracks, and life histories, but requires capture of individuals and is often impractical to scale. Recent developments in automated image-based tracking offers opportunities to remotely quantify and understand individual behavior at scales and resolutions not previously possible, providing an essential supplement to other tracking methodologies in ecology. Automated image-based tracking should continue to advance the field of ecology by enabling better understanding of the linkages between individual and higher-level ecological processes, via high-throughput quantitative analysis of complex ecological patterns and processes across scales, including analysis of environmental drivers.

Zusammenfassung in einer weiteren Sprache

Fachgebiet (DDC)
570 Biowissenschaften, Biologie

Schlagwörter

behavior; bio-logging; ecological interactions; tracking

Konferenz

Rezension
undefined / . - undefined, undefined

Forschungsvorhaben

Organisationseinheiten

Zeitschriftenheft

Zugehörige Datensätze in KOPS

Zitieren

ISO 690DELL, Anthony I., John A. BENDER, Kristin BRANSON, Iain D. COUZIN, Gonzalo G. DE POLAVIEJA, Lucas P. J. J. NOLDUS, Alfonso PÉREZ-ESCUDERO, Pietro PERONA, Andrew D. STRAW, Martin WIKELSKI, Ulrich BROSE, 2014. Automated image-based tracking and its application in ecology. In: Trends in Ecology & Evolution. 2014, 29(7), pp. 417-428. ISSN 0169-5347. eISSN 1872-8383. Available under: doi: 10.1016/j.tree.2014.05.004
BibTex
@article{Dell2014Autom-29414,
  year={2014},
  doi={10.1016/j.tree.2014.05.004},
  title={Automated image-based tracking and its application in ecology},
  number={7},
  volume={29},
  issn={0169-5347},
  journal={Trends in Ecology & Evolution},
  pages={417--428},
  author={Dell, Anthony I. and Bender, John A. and Branson, Kristin and Couzin, Iain D. and de Polavieja, Gonzalo G. and Noldus, Lucas P. J. J. and Pérez-Escudero, Alfonso and Perona, Pietro and Straw, Andrew D. and Wikelski, Martin and Brose, Ulrich}
}
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/123456789/29414">
    <foaf:homepage rdf:resource="http://localhost:8080/"/>
    <dc:contributor>de Polavieja, Gonzalo G.</dc:contributor>
    <dc:contributor>Wikelski, Martin</dc:contributor>
    <dc:contributor>Bender, John A.</dc:contributor>
    <dcterms:isPartOf rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/28"/>
    <dc:contributor>Pérez-Escudero, Alfonso</dc:contributor>
    <dcterms:abstract xml:lang="eng">The behavior of individuals determines the strength and outcome of ecological interactions, which drive population, community, and ecosystem organization. Bio-logging, such as telemetry and animal-borne imaging, provides essential individual viewpoints, tracks, and life histories, but requires capture of individuals and is often impractical to scale. Recent developments in automated image-based tracking offers opportunities to remotely quantify and understand individual behavior at scales and resolutions not previously possible, providing an essential supplement to other tracking methodologies in ecology. Automated image-based tracking should continue to advance the field of ecology by enabling better understanding of the linkages between individual and higher-level ecological processes, via high-throughput quantitative analysis of complex ecological patterns and processes across scales, including analysis of environmental drivers.</dcterms:abstract>
    <dc:contributor>Straw, Andrew D.</dc:contributor>
    <dc:rights>terms-of-use</dc:rights>
    <dcterms:rights rdf:resource="https://rightsstatements.org/page/InC/1.0/"/>
    <dc:contributor>Perona, Pietro</dc:contributor>
    <dc:contributor>Couzin, Iain D.</dc:contributor>
    <void:sparqlEndpoint rdf:resource="http://localhost/fuseki/dspace/sparql"/>
    <dc:creator>Pérez-Escudero, Alfonso</dc:creator>
    <dc:creator>Straw, Andrew D.</dc:creator>
    <dc:contributor>Brose, Ulrich</dc:contributor>
    <bibo:uri rdf:resource="http://kops.uni-konstanz.de/handle/123456789/29414"/>
    <dc:contributor>Noldus, Lucas P. J. J.</dc:contributor>
    <dcterms:issued>2014</dcterms:issued>
    <dc:contributor>Dell, Anthony I.</dc:contributor>
    <dc:creator>Bender, John A.</dc:creator>
    <dc:creator>Perona, Pietro</dc:creator>
    <dc:creator>Couzin, Iain D.</dc:creator>
    <dspace:hasBitstream rdf:resource="https://kops.uni-konstanz.de/bitstream/123456789/29414/1/Dell_0-260690.pdf"/>
    <dc:creator>Branson, Kristin</dc:creator>
    <dc:language>eng</dc:language>
    <dcterms:title>Automated image-based tracking and its application in ecology</dcterms:title>
    <dc:creator>de Polavieja, Gonzalo G.</dc:creator>
    <dc:creator>Noldus, Lucas P. J. J.</dc:creator>
    <dc:date rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2014-12-10T13:31:20Z</dc:date>
    <dcterms:hasPart rdf:resource="https://kops.uni-konstanz.de/bitstream/123456789/29414/1/Dell_0-260690.pdf"/>
    <dc:creator>Wikelski, Martin</dc:creator>
    <dcterms:available rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2014-12-10T13:31:20Z</dcterms:available>
    <dc:creator>Brose, Ulrich</dc:creator>
    <dc:contributor>Branson, Kristin</dc:contributor>
    <dspace:isPartOfCollection rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/28"/>
    <dc:creator>Dell, Anthony I.</dc:creator>
  </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