Publikation:

Quantifying levels of animal activity using camera trap data

Lade...
Vorschaubild

Dateien

Rowcliffe_0-268234t.pdf
Rowcliffe_0-268234t.pdfGröße: 499.75 KBDownloads: 781

Datum

2014

Autor:innen

Rowcliffe, J. Marcus
Kays, Roland
Carbone, Chris
Jansen, Patrick A.

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
Open Access Gold
Core Facility der Universität Konstanz

Gesperrt bis

Titel in einer weiteren Sprache

Publikationstyp
Zeitschriftenartikel
Publikationsstatus
Published

Erschienen in

Methods in Ecology and Evolution. 2014, 5(11), pp. 1170-1179. ISSN 2041-2096. eISSN 2041-210X. Available under: doi: 10.1111/2041-210X.12278

Zusammenfassung

  1. Activity level (the proportion of time that animals spend active) is a behavioural and ecological metric that can provide an indicator of energetics, foraging effort and exposure to risk. However, activity level is poorly known for free-living animals because it is difficult to quantify activity in the field in a consistent, cost-effective and non-invasive way.
    2. This article presents a new method to estimate activity level with time-of-detection data from camera traps (or more generally any remote sensors), fitting a flexible circular distribution to these data to describe the underlying activity schedule, and calculating overall proportion of time active from this.
    3. Using simulations and a case study for a range of small- to medium-sized mammal species, we find that activity level can reliably be estimated using the new method.
    4. The method depends on the key assumption that all individuals in the sampled population are active at the peak of the daily activity cycle. We provide theoretical and empirical evidence suggesting that this assumption is likely to be met for many species, but may be less likely met in large predators, or in high-latitude winters. Further research is needed to establish stronger evidence on the validity of this assumption in specific cases; however, the approach has the potential to provide an effective, non-invasive alternative to existing methods for quantifying population activity levels.

Zusammenfassung in einer weiteren Sprache

Fachgebiet (DDC)
570 Biowissenschaften, Biologie

Schlagwörter

activity level, activity time, circular kernel, proportion active, remote sensors, Von Mises distribution, weighted kernel

Konferenz

Rezension
undefined / . - undefined, undefined

Forschungsvorhaben

Organisationseinheiten

Zeitschriftenheft

Zugehörige Datensätze in KOPS

Zitieren

ISO 690ROWCLIFFE, J. Marcus, Roland KAYS, Bart KRANSTAUBER, Chris CARBONE, Patrick A. JANSEN, 2014. Quantifying levels of animal activity using camera trap data. In: Methods in Ecology and Evolution. 2014, 5(11), pp. 1170-1179. ISSN 2041-2096. eISSN 2041-210X. Available under: doi: 10.1111/2041-210X.12278
BibTex
@article{Rowcliffe2014Quant-30366,
  year={2014},
  doi={10.1111/2041-210X.12278},
  title={Quantifying levels of animal activity using camera trap data},
  number={11},
  volume={5},
  issn={2041-2096},
  journal={Methods in Ecology and Evolution},
  pages={1170--1179},
  author={Rowcliffe, J. Marcus and Kays, Roland and Kranstauber, Bart and Carbone, Chris and Jansen, Patrick A.}
}
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/123456789/30366">
    <dc:language>eng</dc:language>
    <dcterms:isPartOf rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/28"/>
    <dcterms:rights rdf:resource="http://creativecommons.org/licenses/by-nc/3.0/"/>
    <void:sparqlEndpoint rdf:resource="http://localhost/fuseki/dspace/sparql"/>
    <dc:creator>Jansen, Patrick A.</dc:creator>
    <dcterms:abstract xml:lang="eng">1. Activity level (the proportion of time that animals spend active) is a behavioural and ecological metric that can provide an indicator of energetics, foraging effort and exposure to risk. However, activity level is poorly known for free-living animals because it is difficult to quantify activity in the field in a consistent, cost-effective and non-invasive way.&lt;br /&gt;2. This article presents a new method to estimate activity level with time-of-detection data from camera traps (or more generally any remote sensors), fitting a flexible circular distribution to these data to describe the underlying activity schedule, and calculating overall proportion of time active from this.&lt;br /&gt;3. Using simulations and a case study for a range of small- to medium-sized mammal species, we find that activity level can reliably be estimated using the new method.&lt;br /&gt;4. The method depends on the key assumption that all individuals in the sampled population are active at the peak of the daily activity cycle. We provide theoretical and empirical evidence suggesting that this assumption is likely to be met for many species, but may be less likely met in large predators, or in high-latitude winters. Further research is needed to establish stronger evidence on the validity of this assumption in specific cases; however, the approach has the potential to provide an effective, non-invasive alternative to existing methods for quantifying population activity levels.</dcterms:abstract>
    <dc:contributor>Kays, Roland</dc:contributor>
    <bibo:uri rdf:resource="http://kops.uni-konstanz.de/handle/123456789/30366"/>
    <dcterms:hasPart rdf:resource="https://kops.uni-konstanz.de/bitstream/123456789/30366/5/Rowcliffe_0-268234t.pdf"/>
    <dc:contributor>Rowcliffe, J. Marcus</dc:contributor>
    <dc:rights>Attribution-NonCommercial 3.0 Unported</dc:rights>
    <dcterms:available rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2015-03-18T08:58:08Z</dcterms:available>
    <dcterms:issued>2014</dcterms:issued>
    <dc:creator>Rowcliffe, J. Marcus</dc:creator>
    <dcterms:title>Quantifying levels of animal activity using camera trap data</dcterms:title>
    <dc:contributor>Jansen, Patrick A.</dc:contributor>
    <dc:contributor>Carbone, Chris</dc:contributor>
    <dc:creator>Kranstauber, Bart</dc:creator>
    <dspace:isPartOfCollection rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/28"/>
    <dc:date rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2015-03-18T08:58:08Z</dc:date>
    <dc:creator>Carbone, Chris</dc:creator>
    <foaf:homepage rdf:resource="http://localhost:8080/"/>
    <dc:contributor>Kranstauber, Bart</dc:contributor>
    <dc:creator>Kays, Roland</dc:creator>
    <dspace:hasBitstream rdf:resource="https://kops.uni-konstanz.de/bitstream/123456789/30366/5/Rowcliffe_0-268234t.pdf"/>
  </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
Begutachtet
Diese Publikation teilen