The species-specificity of energy landscapes for soaring birds, and its consequences for transferring suitability models across species

Lade...
Vorschaubild
Dateien
Scacco_2-w0j1iywpk8ja8.pdf
Scacco_2-w0j1iywpk8ja8.pdfGröße: 1.17 MBDownloads: 130
Datum
2023
Autor:innen
Arrondo, Eneko
Donázar, J. Antonio
Sánchez-Zapata, J. Antonio
Duriez, Olivier
Herausgeber:innen
Kontakt
ISSN der Zeitschrift
Electronic ISSN
ISBN
Bibliografische Daten
Verlag
Schriftenreihe
Auflagebezeichnung
ArXiv-ID
Internationale Patentnummer
Link zur Lizenz
Angaben zur Forschungsförderung
Projekt
Open Access-Veröffentlichung
Open Access Hybrid
Core Facility der Universität Konstanz
Gesperrt bis
Titel in einer weiteren Sprache
Forschungsvorhaben
Organisationseinheiten
Zeitschriftenheft
Publikationstyp
Zeitschriftenartikel
Publikationsstatus
Published
Erschienen in
Zusammenfassung

Context
Soaring birds depend on atmospheric uplifts and are sensitive to wind energy development. Predictive modelling is instrumental to forecast conflicts between human infrastructures and single species of concern. However, as multiple species often coexist in the same area, we need to overcome the limitations of single species approaches.

Objectives
We investigate whether predictive models of flight behaviour can be transferred across species boundaries.

Methods
We analysed movement data from 57 white storks, Ciconia ciconia, and 27 griffon vultures, Gyps fulvus. We quantified the accuracy of topographic features, correlates of collision risk in soaring birds, in predicting their soaring behaviour, and tested the transferability of the resulting suitability models across species.

Results
59.9% of the total area was predicted to be suitable to vultures only, and 1.2% exclusively to storks. Only 20.5% of the study area was suitable to both species to soar, suggesting the existence of species-specific requirements in the use of the landscape for soaring. Topography alone could accurately predict 75% of the soaring opportunities available to storks across Europe, but was less efficient for vultures (63%). While storks relied on uplift occurrence, vultures relied on uplift quality, needing stronger uplifts to support their higher body mass and wing loading.

Conclusions
Energy landscapes are species-specific and more knowledge is required to accurately predict the behaviour of highly specialised soaring species, such as vultures. Our models provide a base to explore the effects of landscape changes on the flight behaviour of different soaring species. Our results suggest that there is no reliable and responsible way to shortcut risk assessment in areas where multiple species might be at risk by anthropogenic structures.

Zusammenfassung in einer weiteren Sprache
Fachgebiet (DDC)
570 Biowissenschaften, Biologie
Schlagwörter
Konferenz
Rezension
undefined / . - undefined, undefined
Zitieren
ISO 690SCACCO, Martina, Eneko ARRONDO, J. Antonio DONÁZAR, Andrea FLACK, J. Antonio SÁNCHEZ-ZAPATA, Olivier DURIEZ, Martin WIKELSKI, Kamran SAFI, 2023. The species-specificity of energy landscapes for soaring birds, and its consequences for transferring suitability models across species. In: Landscape Ecology. Springer. 2023, 38, pp. 239-252. ISSN 0921-2973. eISSN 1572-9761. Available under: doi: 10.1007/s10980-022-01551-4
BibTex
@article{Scacco2023speci-59385,
  year={2023},
  doi={10.1007/s10980-022-01551-4},
  title={The species-specificity of energy landscapes for soaring birds, and its consequences for transferring suitability models across species},
  volume={38},
  issn={0921-2973},
  journal={Landscape Ecology},
  pages={239--252},
  author={Scacco, Martina and Arrondo, Eneko and Donázar, J. Antonio and Flack, Andrea and Sánchez-Zapata, J. Antonio and Duriez, Olivier 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/123456789/59385">
    <dc:rights>Attribution 4.0 International</dc:rights>
    <dcterms:rights rdf:resource="http://creativecommons.org/licenses/by/4.0/"/>
    <dc:creator>Duriez, Olivier</dc:creator>
    <dspace:hasBitstream rdf:resource="https://kops.uni-konstanz.de/bitstream/123456789/59385/1/Scacco_2-w0j1iywpk8ja8.pdf"/>
    <dcterms:hasPart rdf:resource="https://kops.uni-konstanz.de/bitstream/123456789/59385/1/Scacco_2-w0j1iywpk8ja8.pdf"/>
    <dc:language>eng</dc:language>
    <void:sparqlEndpoint rdf:resource="http://localhost/fuseki/dspace/sparql"/>
    <dc:creator>Safi, Kamran</dc:creator>
    <dc:creator>Scacco, Martina</dc:creator>
    <dcterms:abstract xml:lang="eng">Context&lt;br /&gt;Soaring birds depend on atmospheric uplifts and are sensitive to wind energy development. Predictive modelling is instrumental to forecast conflicts between human infrastructures and single species of concern. However, as multiple species often coexist in the same area, we need to overcome the limitations of single species approaches.&lt;br /&gt;&lt;br /&gt;Objectives&lt;br /&gt;We investigate whether predictive models of flight behaviour can be transferred across species boundaries.&lt;br /&gt;&lt;br /&gt;Methods&lt;br /&gt;We analysed movement data from 57 white storks, Ciconia ciconia, and 27 griffon vultures, Gyps fulvus. We quantified the accuracy of topographic features, correlates of collision risk in soaring birds, in predicting their soaring behaviour, and tested the transferability of the resulting suitability models across species.&lt;br /&gt;&lt;br /&gt;Results&lt;br /&gt;59.9% of the total area was predicted to be suitable to vultures only, and 1.2% exclusively to storks. Only 20.5% of the study area was suitable to both species to soar, suggesting the existence of species-specific requirements in the use of the landscape for soaring. Topography alone could accurately predict 75% of the soaring opportunities available to storks across Europe, but was less efficient for vultures (63%). While storks relied on uplift occurrence, vultures relied on uplift quality, needing stronger uplifts to support their higher body mass and wing loading.&lt;br /&gt;&lt;br /&gt;Conclusions&lt;br /&gt;Energy landscapes are species-specific and more knowledge is required to accurately predict the behaviour of highly specialised soaring species, such as vultures. Our models provide a base to explore the effects of landscape changes on the flight behaviour of different soaring species. Our results suggest that there is no reliable and responsible way to shortcut risk assessment in areas where multiple species might be at risk by anthropogenic structures.</dcterms:abstract>
    <dcterms:isPartOf rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/28"/>
    <dcterms:title>The species-specificity of energy landscapes for soaring birds, and its consequences for transferring suitability models across species</dcterms:title>
    <dspace:isPartOfCollection rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/28"/>
    <dcterms:issued>2023</dcterms:issued>
    <dc:creator>Sánchez-Zapata, J. Antonio</dc:creator>
    <dc:creator>Donázar, J. Antonio</dc:creator>
    <dc:contributor>Flack, Andrea</dc:contributor>
    <bibo:uri rdf:resource="https://kops.uni-konstanz.de/handle/123456789/59385"/>
    <dc:creator>Arrondo, Eneko</dc:creator>
    <dc:creator>Wikelski, Martin</dc:creator>
    <dc:date rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2022-12-02T10:32:16Z</dc:date>
    <dcterms:available rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2022-12-02T10:32:16Z</dcterms:available>
    <dc:contributor>Arrondo, Eneko</dc:contributor>
    <dc:contributor>Wikelski, Martin</dc:contributor>
    <foaf:homepage rdf:resource="http://localhost:8080/"/>
    <dc:contributor>Safi, Kamran</dc:contributor>
    <dc:contributor>Sánchez-Zapata, J. Antonio</dc:contributor>
    <dc:creator>Flack, Andrea</dc:creator>
    <dc:contributor>Duriez, Olivier</dc:contributor>
    <dc:contributor>Scacco, Martina</dc:contributor>
    <dc:contributor>Donázar, J. Antonio</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
Ja
Diese Publikation teilen