Linking animal movement and remote sensing : mapping resource suitability from a remote sensing perspective
Linking animal movement and remote sensing : mapping resource suitability from a remote sensing perspective
Lade...
Datum
2018
Autor:innen
Herausgeber:innen
ISSN der Zeitschrift
eISSN
item.preview.dc.identifier.isbn
Bibliografische Daten
Verlag
Schriftenreihe
URI (zitierfähiger Link)
DOI (zitierfähiger Link)
Internationale Patentnummer
Link zur Lizenz
EU-Projektnummer
Projekt
Open Access-Veröffentlichung
Sammlungen
Titel in einer weiteren Sprache
Publikationstyp
Zeitschriftenartikel
Publikationsstatus
Published
Erschienen in
Remote Sensing in Ecology and Conservation ; 4 (2018), 3. - S. 211-224. - Wiley-Blackwell. - eISSN 2056-3485
Zusammenfassung
Optical remote sensing is an important tool in the study of animal behavior providing ecologists with the means to understand species–environment interactions in combination with animal movement data. However, differences in spatial and temporal resolution between movement and remote sensing data limit their direct assimilation. In this context, we built a data‐driven framework to map resource suitability that addresses these differences as well as the limitations of satellite imagery. It combines seasonal composites of multiyear surface reflectances and optimized presence and absence samples acquired with animal movement data within a cross‐validation modeling scheme. Moreover, it responds to dynamic, site‐specific environmental conditions making it applicable to contrasting landscapes. We tested this framework using five populations of White Storks (Ciconia ciconia) to model resource suitability related to foraging achieving accuracies from 0.40 to 0.94 for presences and 0.66 to 0.93 for absences. These results were influenced by the temporal composition of the seasonal reflectances indicated by the lower accuracies associated with higher day differences in relation to the target dates. Additionally, population differences in resource selection influenced our results marked by the negative relationship between the model accuracies and the variability of the surface reflectances associated with the presence samples. Our modeling approach spatially splits presences between training and validation. As a result, when these represent different and unique resources, we face a negative bias during validation. Despite these inaccuracies, our framework offers an important basis to analyze species–environment interactions. As it standardizes site‐dependent behavioral and environmental characteristics, it can be used in the comparison of intra‐ and interspecies environmental requirements and improves the analysis of resource selection along migratory paths. Moreover, due to its sensitivity to differences in resource selection, our approach can contribute toward a better understanding of species requirements.
Zusammenfassung in einer weiteren Sprache
Fachgebiet (DDC)
570 Biowissenschaften, Biologie
Schlagwörter
Landsat, movement ecology, optical remote sensing, resource mapping, resource suitability, surface reflectances
Konferenz
Rezension
undefined / . - undefined, undefined. - (undefined; undefined)
Zitieren
ISO 690
REMELGADO, Ruben, Benjamin LEUTNER, Kamran SAFI, Ruth SONNENSCHEIN, Carina KUEBERT, Martin WEGMANN, 2018. Linking animal movement and remote sensing : mapping resource suitability from a remote sensing perspective. In: Remote Sensing in Ecology and Conservation. Wiley-Blackwell. 4(3), pp. 211-224. eISSN 2056-3485. Available under: doi: 10.1002/rse2.70BibTex
@article{Remelgado2018-09Linki-52086, year={2018}, doi={10.1002/rse2.70}, title={Linking animal movement and remote sensing : mapping resource suitability from a remote sensing perspective}, number={3}, volume={4}, journal={Remote Sensing in Ecology and Conservation}, pages={211--224}, author={Remelgado, Ruben and Leutner, Benjamin and Safi, Kamran and Sonnenschein, Ruth and Kuebert, Carina and Wegmann, Martin} }
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/123456789/52086"> <bibo:uri rdf:resource="https://kops.uni-konstanz.de/handle/123456789/52086"/> <dc:contributor>Remelgado, Ruben</dc:contributor> <dc:contributor>Safi, Kamran</dc:contributor> <dcterms:issued>2018-09</dcterms:issued> <foaf:homepage rdf:resource="http://localhost:8080/"/> <dc:creator>Leutner, Benjamin</dc:creator> <dc:contributor>Sonnenschein, Ruth</dc:contributor> <dspace:hasBitstream rdf:resource="https://kops.uni-konstanz.de/bitstream/123456789/52086/3/Remelgado_2-9vuh9urfn3oc6.pdf"/> <dc:creator>Sonnenschein, Ruth</dc:creator> <void:sparqlEndpoint rdf:resource="http://localhost/fuseki/dspace/sparql"/> <dcterms:available rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2020-12-11T08:59:01Z</dcterms:available> <dc:language>eng</dc:language> <dcterms:title>Linking animal movement and remote sensing : mapping resource suitability from a remote sensing perspective</dcterms:title> <dc:contributor>Kuebert, Carina</dc:contributor> <dcterms:hasPart rdf:resource="https://kops.uni-konstanz.de/bitstream/123456789/52086/3/Remelgado_2-9vuh9urfn3oc6.pdf"/> <dc:creator>Safi, Kamran</dc:creator> <dcterms:abstract xml:lang="eng">Optical remote sensing is an important tool in the study of animal behavior providing ecologists with the means to understand species–environment interactions in combination with animal movement data. However, differences in spatial and temporal resolution between movement and remote sensing data limit their direct assimilation. In this context, we built a data‐driven framework to map resource suitability that addresses these differences as well as the limitations of satellite imagery. It combines seasonal composites of multiyear surface reflectances and optimized presence and absence samples acquired with animal movement data within a cross‐validation modeling scheme. Moreover, it responds to dynamic, site‐specific environmental conditions making it applicable to contrasting landscapes. We tested this framework using five populations of White Storks (Ciconia ciconia) to model resource suitability related to foraging achieving accuracies from 0.40 to 0.94 for presences and 0.66 to 0.93 for absences. These results were influenced by the temporal composition of the seasonal reflectances indicated by the lower accuracies associated with higher day differences in relation to the target dates. Additionally, population differences in resource selection influenced our results marked by the negative relationship between the model accuracies and the variability of the surface reflectances associated with the presence samples. Our modeling approach spatially splits presences between training and validation. As a result, when these represent different and unique resources, we face a negative bias during validation. Despite these inaccuracies, our framework offers an important basis to analyze species–environment interactions. As it standardizes site‐dependent behavioral and environmental characteristics, it can be used in the comparison of intra‐ and interspecies environmental requirements and improves the analysis of resource selection along migratory paths. Moreover, due to its sensitivity to differences in resource selection, our approach can contribute toward a better understanding of species requirements.</dcterms:abstract> <dcterms:rights rdf:resource="http://creativecommons.org/licenses/by-nc/4.0/"/> <dc:contributor>Wegmann, Martin</dc:contributor> <dc:contributor>Leutner, Benjamin</dc:contributor> <dc:date rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2020-12-11T08:59:01Z</dc:date> <dc:creator>Wegmann, Martin</dc:creator> <dc:rights>Attribution-NonCommercial 4.0 International</dc:rights> <dc:creator>Kuebert, Carina</dc:creator> <dc:creator>Remelgado, Ruben</dc:creator> <dcterms:isPartOf rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/28"/> <dspace:isPartOfCollection rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/28"/> </rdf:Description> </rdf:RDF>
Interner Vermerk
xmlui.Submission.submit.DescribeStep.inputForms.label.kops_note_fromSubmitter
Prüfungsdatum der Dissertation
Finanzierungsart
Kommentar zur Publikation
Allianzlizenz
Corresponding Authors der Uni Konstanz vorhanden
Internationale Co-Autor:innen
Universitätsbibliographie
Begutachtet
Ja