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To be or not to be : the role of absences in niche modelling for highly mobile species in dynamic marine environments

dc.contributor.authorFernandez, Marc
dc.contributor.authorSillero, Neftali
dc.contributor.authorYesson, Chris
dc.date.accessioned2023-01-18T16:30:35Z
dc.date.available2023-01-18T16:30:35Z
dc.date.issued2022-06
dc.description.abstractSpecies distribution models are valuable tools for conservation management. However, there remain challenges in developing and interpreting these models in the marine environment, such as the nature of the species used for the modelling process. When working with mobile species in dynamic environments, lack of observation is usually interpreted as an observation of absence, which can result in the introduction of biases by methodological (false) absences. Here, we explore the role of absences when modelling marine megafauna distributions. To better understand how the use of absences (or equivalent) affects the niche modelling algorithms, we used a set of 20 virtual species with different relations to the habitat (generalist static, specialist static, generalist dynamic and specialist dynamic) with different encounter rates. We tested six different modelling techniques divided into three distinct groups: presence-only, presence-background and presence-absence. We compared the outputs of the models using traditional validation metrics and overlap metrics in the geographical and environmental spaces. Algorithms characterized the ecological niche for the simulated species differently. Approaches using background data generally outperformed the other methods, suggesting that the non-observation of a species in a given location and time should not be considered as an absence. A very intense (practically unrealistic) sampling schema would be required to obtain a genuine unbiased absence when working with these species and habitats. For highly mobile species, a precautionary approach would be to consider the non-observation of a species as part of the background (a sample of the conditions available in the study area) rather than an absence. A good starting point would be to use presence-background models, complemented with presence-absence and/or presence-only models, comparing outputs from the different algorithms tested in the geographic and environmental space. Improving model performance for highly mobile marine species should lead to better-informed decision making for conservation.en
dc.description.sponsorshipThis study was partially supported by: (i) INTERTAGUA, MAC2/1.1.a/385 funded by MAC INTERREG 2014-2020, (ii) Oceanic Observatory of Madeira throughout the project M1420-01-0145-FEDER-000001-OOM, and (iii) Fundação para a Ciência e Tecnologia (FCT), Portugal, through the strategic project UIDB/04292/2020 granted to MARE UI&I. NS is supported by a CEEC2017 contract (CEECIND/02213/2017). Authors at ZSL (CY) and their research are supported by funding from Research England.en
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationFernandez, M., Sillero, N. & Yesson, C. (2022). To be or not to be: the role of absences in niche modelling for highly mobile species in dynamic marine environments. "Ecological Modelling", 471, 110040. DOI:10.1016/j.ecolmodel.2022.110040.en
dc.identifier.doi10.1016/j.ecolmodel.2022.110040pt_PT
dc.identifier.eissn1872-7026
dc.identifier.issn0304-3800
dc.identifier.urihttp://hdl.handle.net/10400.3/6565
dc.identifier.wos000860699300003
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherElsevierpt_PT
dc.relationNot Available
dc.relationMarine and Environmental Sciences Centre
dc.relation.publisherversionhttps://www.sciencedirect.com/science/article/pii/S0304380022001508pt_PT
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/pt_PT
dc.subjectAbsencesen
dc.subjectEcological Niche Modellingen
dc.subjectCetaceansen
dc.subjectMarine Megafaunaen
dc.subjectMobile Speciesen
dc.subjectSpecies Distribution Models (SDMs)en
dc.titleTo be or not to be : the role of absences in niche modelling for highly mobile species in dynamic marine environmentsen
dc.typejournal article
dspace.entity.typePublication
oaire.awardTitleNot Available
oaire.awardTitleMarine and Environmental Sciences Centre
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/CEEC IND 2017/CEECIND%2F02213%2F2017%2FCP1395%2FCT0001/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F04292%2F2020/PT
oaire.citation.conferencePlaceNetherlandspt_PT
oaire.citation.titleEcological Modellingen
oaire.citation.volume471pt_PT
oaire.fundingStreamCEEC IND 2017
oaire.fundingStream6817 - DCRRNI ID
person.familyNameFernandez Morron
person.givenNameMarc
person.identifier.ciencia-id691B-40D8-24D2
person.identifier.orcid0000-0002-8419-0942
person.identifier.scopus-author-id55463168300
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsclosedAccesspt_PT
rcaap.typearticlept_PT
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relation.isAuthorOfPublication.latestForDiscoveryebe4b6e7-65f3-4b6d-8385-2f649bd12518
relation.isProjectOfPublication279327d5-d26d-4793-b4f9-ba86b0f38402
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