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Long-distance influence of the Rhone River plume on the marine benthic ecosystem: Integrating descriptive ecology and predictive modelling

2019-07Journal article Restricted access
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dc.contributor.authorMartin, Daniel
dc.contributor.authorPititto, Francesco
dc.contributor.authorGil, João
dc.contributor.authorPaola Mura, Maria
dc.contributor.authorBahamon, Nixon
dc.contributor.authorRomano, Chiara
dc.contributor.authorThorin, Sebastien
dc.contributor.authorSchvartz, Thibault
dc.contributor.authorDutrieux, Eric
dc.contributor.authorBocquenet, Yannick
dc.date.accessioned2020-07-24T10:51:58Z
dc.date.available2020-07-24T10:51:58Z
dc.date.issued2019-07
dc.description.abstractThe Gulf of Lions (GoL) is among the most productive areas of the Mediterranean Sea, with the Rhone River contributing with as much as 90% of the liquid and solid materials (including anthropogenic chemicals) reaching the area. In this paper, we assessed whether classical descriptive ecology and MaxEnt predictive species distribution modelling were able to provide complementary information when analysing the long-distance influence of the river discharges on the GoL benthic ecosystem. Samples were collected in August 2014 from 12 stations covering the sedimentary plain of the deep submarine delta, from the Gulf of Fos to Gruissan. Sediments were mostly muddy with a high organic carbon and low P and N contents first decreasing and then increasing from east to west. The same pattern occurred for chlorophyll-a, particulate organic carbon and sea surface temperature, and was overall correlated with metal and pollutant contents derived from agricultural, port, urban and industrial sources driven by Rhone outputs. We observed a typical deltaic succession in the benthos, showing a relatively low diversity and including polychaetes (Sternaspis scutata) and holothurians (Oestergrenia digitata) known to be indicators of high sedimentation rates. Overall, benthos showed an inversed pattern regarding environmental variables, an evident consequence of the Rhone River influence. The suitability of some species was either positively or negatively correlated with some of the environmental variables, producing species-specific predicted distribution patterns, with the highest amount of information allowing to predict distributions being mainly provided by organic pollutants. Even with a limited number of available samples, our integrated approach reveals to be a very robust tool to highlight hidden patterns and contributes to improve our knowledge on how river mediated anthropogenic discharges may influence biodiversity distribution and functional patterns in marine benthic ecosystems. (C) 2019 Elsevier B.V. All rights reserved.
dc.description.sponsorshipCEABConsejo Superior de Investigaciones Cientificas (CSIC)
dc.description.sponsorshipCreocean
dc.description.sponsorshipSpanish "Ministerio de Ciencia, Innovation y Universidades" (MICINU) [CTM2017-88080, 2017SGR378]
dc.description.sponsorship"Agencia Espanola de Investigacion" (AEI)
dc.description.sponsorshipEuropean Funds for Regional Development (FEDER)European Union (EU)
dc.description.sponsorshipPeople Programme (Marie Sklodowska. Curie Action) of the EU Seventh Framework Programme (FP/2007-2013) under the REA grant [PIOF-GA2013-628146]
dc.identifier.doi10.1016/j.scitotenv.2019.04.010
dc.identifier.issn0048-9697
dc.identifier.issn1879-1026
dc.identifier.urihttp://hdl.handle.net/10400.1/14295
dc.language.isoeng
dc.peerreviewedyes
dc.publisherElsevier Science Bv
dc.subjectSpecies distributions
dc.subjectSediment transport
dc.subjectSampling bias
dc.subjectGulf
dc.subjectWater
dc.subjectMaxent
dc.subjectMacrofauna
dc.subjectEstuarine
dc.subjectImprove
dc.subjectImplementation
dc.titleLong-distance influence of the Rhone River plume on the marine benthic ecosystem: Integrating descriptive ecology and predictive modelling
dc.typejournal article
dspace.entity.typePublication
oaire.citation.endPage809
oaire.citation.startPage790
oaire.citation.titleScience of the Total Environment
oaire.citation.volume673
person.familyNameGil
person.givenNameJoão
person.identifier.ciencia-idA519-5EDC-1B32
person.identifier.orcid0000-0002-1856-3333
person.identifier.scopus-author-id7201625624
rcaap.rightsrestrictedAccess
rcaap.typearticle
relation.isAuthorOfPublication8462d152-0fd8-49a1-98c2-ec2ed5179446
relation.isAuthorOfPublication.latestForDiscovery8462d152-0fd8-49a1-98c2-ec2ed5179446

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