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Macroalgae niche modelling : a two-step approach using remote sensing and in situ observations of a native and an invasive Asparagopsis

2021-04Journal article Open access
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dc.contributor.authorCasas, Enrique
dc.contributor.authorFernandez, Marc
dc.contributor.authorGil, Artur José Freire
dc.contributor.authorYesson, Chris
dc.contributor.authorPrestes, Afonso L.
dc.contributor.authorMoreu‐Badia, Ignacio
dc.contributor.authorNeto, Ana I.
dc.contributor.authorArbelo, Manuel
dc.date.accessioned2021-09-14T10:01:22Z
dc.date.available2022-04-29T00:30:32Z
dc.date.issued2021-04
dc.description.abstractWe are facing a global loss of biodiversity due to climate change. This will lead to unpredictable changes in ecosystems, affecting the goods and services they provide introduction of non-indigenous marine species. This represents one of the major threats to marine biodiversity and therefore, there is a strong need to assess, map and monitor these alien species. The appearance of non-indigenous species is especially dangerous in fragile ecosystems and it is of great importance to better understand the invasion mechanisms of these invasive species. This is the case for invasive alga Asparagopsis armata, present in the Azores Archipelago. In this study we propose a methodology to define the realized ecological niche of this invasive alga, alongside the native Asparagopsis taxiformis, to understand better its distribution and potential impact on native communities and ecosystem services. These objectives comply with the EU Biodiversity strategy for 2020 goals and the need to map and assess ecosystems and their services. The lack of reliable high-resolution data makes this a challenging task. Within this scope, we propose a combination of Remote Sensing, Unmanned Aerial Vehicle based imagery together with in-situ field data to build ecological niche modelling approaches as a cost-effective methodology to identify and characterize vulnerable marine ecosystems. Our results show that this combination can help achieve monitoring, leading to a better understanding of ecological niches and the consequences of non-indigenous species invasion in fragile ecosystems, like small islands, when faced with limited data.en
dc.description.sponsorshipThis study is a contribution to the research project ‘ASPAZOR— Ecosystem impacts and socio‐economic benefits of Asparagopsis armata in the Azores' (Ref. ACORES‐01‐1045‐FEDER‐00060) funded through FEDER (85%) and regional funds (15%) via ‘Programa Operacional Açores 2020'. CY is supported by Research England.en
dc.description.versioninfo:eu-repo/semantics/acceptedVersionpt_PT
dc.identifier.citationCasas, E., Fernandez, M., Gil, A., Yesson, Chris., Prestes, A., Moreu-Badia. I., Neto, A.I. & Arbelo, M. (2021). Macroalgae niche modelling: a two-step approach using remote sensing and in situ observations of a native and an invasive Asparagopsis. "Biological Invasions", Online early. DOI:10.1007/s10530-021-02554-zen
dc.identifier.doi10.1007/s10530-021-02554-zpt_PT
dc.identifier.eissn1573-1464
dc.identifier.issn1387-3547
dc.identifier.urihttp://hdl.handle.net/10400.3/6051
dc.identifier.urihttps://discovery.ucl.ac.uk/id/eprint/10130789
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherSpringerpt_PT
dc.relation.publisherversionhttps://link.springer.com/article/10.1007/s10530-021-02554-zpt_PT
dc.subjectAsparagopsis armatapt_PT
dc.subjectAsparagopsis taxiformispt_PT
dc.subjectEcological Niche Modellingen
dc.subjectRemote Sensingen
dc.subjectUnmanned Aerial Vehicleen
dc.titleMacroalgae niche modelling : a two-step approach using remote sensing and in situ observations of a native and an invasive Asparagopsisen
dc.typejournal article
dspace.entity.typePublication
oaire.citation.conferencePlaceNetherlandsen
oaire.citation.titleBiological Invasionsen
person.familyNameFreire Gil
person.familyNamePrestes
person.familyNameNeto
person.givenNameArtur José
person.givenNameAfonso
person.givenNameAna
person.identifierI-7520-2012
person.identifier.ciencia-id6E1A-0689-D573
person.identifier.ciencia-id5316-9582-1499
person.identifier.ciencia-idF412-5515-7324
person.identifier.orcid0000-0003-4450-8167
person.identifier.orcid0000-0003-4329-251X
person.identifier.orcid0000-0003-0708-5636
person.identifier.ridM-5190-2013
person.identifier.ridC-1505-2010
person.identifier.scopus-author-id37064609200
person.identifier.scopus-author-id55660245200
person.identifier.scopus-author-id7102618919
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublication24d6aa34-c843-42df-b790-912f09560a80
relation.isAuthorOfPublicationbb4877b2-7674-4dff-a78c-dba3721e6d65
relation.isAuthorOfPublication5a4f5ed1-4800-4d46-932d-b4063eaa8d14
relation.isAuthorOfPublication.latestForDiscovery5a4f5ed1-4800-4d46-932d-b4063eaa8d14

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