Peer-Reviewed Journal Details
Mandatory Fields
Rengstorf, A.M, Mohn, C., Brown, C., Wisz, M. and Grehan, A.J
2014
July
Deep Sea Research
Predicting the distribution of deep-sea vulnerable marine ecosystems using high-resolution data: Considerations and novel approaches
Published
()
Optional Fields
Cold-watercorals Generalized linearmodel Hydrodynamic modelling Lophelia pertusa Species distributionmodelling
Little isknownaboutspeciesdistributionpatternsindeep-seaenvironments,primarilybecausesampling surveysinthehighseasareexpensiveandtimeconsuming.Theincreasingneedtomanageand protectvulnerablemarineecosystems,suchascold-watercorals,hasmotivatedtheuseofpredictivemodelling tools,whichproducecontinuousmapsofpotentialspeciesorhabitatdistributionfromlimited pointobservationsandfullcoverageenvironmentaldata.Rapidadvancesinacousticremotesensing, oceanographicmodellingandsamplingtechnologynowprovidehighqualitydatasets,facilitating modeldevelopmentwithhighspatialdetail.Thispaperprovidesashortoverviewofexistingmethodologies forpredictingdeep-seabenthicspeciesdistribution,andillustratesemergingissuesrelatedtospatialandthematicdataresolution,andtheuseoftransect-derivedspeciesdistributiondata.In ordertoenhancetheecologicalrelevanceandreliabilityofdeep-seaspeciesdistributionmodels,noveltechniquesarepresentedbasedonacasestudypredictingthedistributionofthecold-watercoralLophelia pertusa in threecarbonatemoundprovincesinIrishwaters.Specifically,thestudyevaluates(1) thecapacityofnewlydevelopedhigh-resolution(250mgridcellsize)hydrodynamicvariablestoexplainlocalscalecold-watercoraldistributionpatterns,(2)thepotentialvalueofspeciesoccurrenceproportion datatomaintainsemi-quantitativeinformationofcoralprevalence(i.e.coverage)andsampling effortpergridcellwithintheresponsevariable,and(3)mixedeffectmodellingtodealwithspatially groupedtransectdata.Thestudyshowsthatpredictivemodelsusingverticalandhorizontalflowparametersperformsignificantly betterthanmodelsbasedonterrainparametersonly.Semi-quantitativeproportiondatamaydecreasemodeluncertaintyandincreasemodelreliability,andprovidea fruitfulavenueofresearchforanalysinglargequantitiesofvideodatainadetailedyettime-efficientmanner.Thestudyconcludeswithanoutlookofhowspeciesdistributionmodelscouldimproveourunderstanding ofvulnerablemarineecosystemfunctioningandprocessesinthedeepsea
http://dx.doi.org/10.1016/j.dsr.2014.07.007
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