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Spotting intruders: Species distribution models for managing invasive intertidal macroalgae

2021Journal article Restricted access
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dc.contributor.authorBlanco, A.
dc.contributor.authorLarrinaga, A.R.
dc.contributor.authorNeto, J.M.
dc.contributor.authorTroncoso, J.
dc.contributor.authorMéndez, G.
dc.contributor.authorDomínguez-Lapido, P.
dc.contributor.authorOvejero, A.
dc.contributor.authorPereira, L.
dc.contributor.authorMouga, T.
dc.contributor.authorGaspar, R.
dc.contributor.authorMartínez, B.
dc.contributor.authorLemos, M.F.L.
dc.contributor.authorOlabarria, C.
dc.date.accessioned2021-08-05T13:31:11Z
dc.date.available2021-08-05T13:31:11Z
dc.date.issued2021
dc.descriptionA. B. was supported by the Axencia Galega de Innovación (GAIN), Xunta de Galicia (grant ED481B 2018/68). This work was supported by the European Union through EASME Blue Labs project AMALIA—Algae-to-MArket Lab IdeAs (EASME/EMFF/2016/1.2.1.4/03/SI2.750419). The authors acknowledge financial support provided by the Portuguese Foundation for Science and Technology (FCT) through Strategic Project UID/MAR/04292/2019 granted to MARE – Marine and Environmental Sciences Centre, through MARINE INVADERS Project (PTDC/BIA-CBI/31144/2017), co-financed by COMPETE (POCI-01-0145-FEDER-031144), and the Integrated Programme of SR&TD “Smart Valorization of Endogenous Marine Biological Resources Under a Changing Climate” (reference Centro-01-0145-FEDER-000018), co-funded by Centro 2020 program, Portugal 2020, European Union, through the European Regional Development Fund. The authors are grateful for data provided and help from R. Kelly, F. Mineur and N. Humphries in the calculation of dispersal kernels. This data resulted from a study supported by grants from a Fifth Framework Program of the European Community (ALIENS: ‘Algal Introductions to European Shores’) and from the AXA Marine Aliens and Climate Change Project, funded by the AXA foundation. Finally, the authors are grateful for technical support from E. P´erez and the Consellería de Educación e Ordenación Universitaria Xunta de Galicia (Galician Regional Government) and for cofunding from the European Regional Development Fund (ERDF), in the framework of the Operational Program Galicia 2014–2020 “A way to build Europe”.
dc.description.abstractInvasive macroalgae represent one of the major threats to marine biodiversity, ecosystem functioning and structure, as well as being important drivers of ecosystem services depletion. Many such species have become well established along the west coast of the Iberian Peninsula. However, the lack of information about the distribution of the invaders and the factors determining their occurrence make bioinvasions a difficult issue to manage. Such information is key to enabling the design and implementation of effective management plans. The present study aimed to map the current probability of presence of six invasive macroalgae: Grateloupia turuturu, Asparagopsis armata, Colpomenia peregrina, Sargassum muticum, Undaria pinnatifida, and Codium fragile ssp. fragile. For this purpose, an extensive field survey was carried out along the coast of the north-western Iberian Peninsula. Species distribution models (SDMs) were then used to map the presence probability of these invasive species throughout the study region on the basis of environmental and anthropogenic predictor variables. The southern Galician rias were identified as the main hotspots of macroalgal invasion, with a high probability of occurrence for most of the species considered. Conversely, the probability of presence on the Portuguese coast was generally low. Physico-chemical variables were the most important factors for predicting the distribution of invasive macroalgae contributing between 57.27 and 85.24% to the ensemble models. However, anthropogenic factors (including size of vessels, number of shipping lines, distance from ports, population density, etc.) considerably improved the estimates of the probability of occurrence for most of the target species. This study is one of the few to include anthropogenic factors in SDMs for invasive macroalgae. The findings suggest that management actions aimed at controlling these species should strengthen control and surveillance at ports, particularly in southern Galician rias. Early detection should be of main concern for risk assessment plans on the Portuguese coast.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationA. Blanco, A.R. Larrinaga, J.M. Neto, J. Troncoso, G. Méndez, P. Domínguez-Lapido, A. Ovejero, L. Pereira, T.M. Mouga, R. Gaspar, B. Martínez, M.F.L. Lemos, C. Olabarria, Spotting intruders: Species distribution models for managing invasive intertidal macroalgae, Journal of Environmental Management, Volume 281, 2021, 111861, ISSN 0301-4797, https://doi.org/10.1016/j.jenvman.2020.111861pt_PT
dc.identifier.doi10.1016/j.jenvman.2020.111861pt_PT
dc.identifier.issn0301-4797
dc.identifier.urihttp://hdl.handle.net/10400.8/6013
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherElsevierpt_PT
dc.relationMARE - Marine and Environmental Sciences Centre
dc.relation.publisherversionhttps://www.sciencedirect.com/science/article/pii/S0301479720317862?via%3Dihubpt_PT
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectInvasive species managementpt_PT
dc.subjectInvasive macroalgae mappingpt_PT
dc.subjectSpecies distribution modellingpt_PT
dc.subjectAnthropogenic predictorspt_PT
dc.titleSpotting intruders: Species distribution models for managing invasive intertidal macroalgaept_PT
dc.typejournal article
dspace.entity.typePublication
oaire.awardTitleMARE - Marine and Environmental Sciences Centre
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UID%2FMAR%2F04292%2F2019/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/9471 - RIDTI/PTDC%2FBIA-CBI%2F31144%2F2017/PT
oaire.citation.titleJournal of Environmental Managementpt_PT
oaire.citation.volume281pt_PT
oaire.fundingStream6817 - DCRRNI ID
oaire.fundingStream9471 - RIDTI
person.familyNameNeto
person.familyNameMouga
person.familyNameLemos
person.givenNameJoão
person.givenNameTeresa
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person.identifier.ciencia-id4213-127C-A1FB
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person.identifier.ridF-1159-2013
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person.identifier.scopus-author-id7103353022
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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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