Search results for "Species distribution model"

showing 10 items of 48 documents

Current and Future Influence of Environmental Factors on Small Pelagic Fish Distributions in the Northwestern Mediterranean Sea

2020

Managing for the Future: Understanding the Relative Roles of Climate and Fishing on Structure and Dynamics of Marine Ecosystems.-- 20 pages, 15 figures, supplementary material https://www.frontiersin.org/articles/10.3389/fmars.2020.00622/full#supplementary-material

0106 biological sciences010504 meteorology & atmospheric sciencesEnvironmental changeclimate changeslcsh:QH1-199.5Species distributionClimate changeOcean EngineeringAquatic Sciencelcsh:General. Including nature conservation geographical distributionOceanography01 natural sciencesClimate changesMediterranean seaFutures scenariosAnchovyClimate refugesEuropean anchovylcsh:Science0105 earth and related environmental sciencesWater Science and TechnologyGlobal and Planetary ChangeBiomass (ecology)biologyspecies distribution model010604 marine biology & hydrobiologyPelagic zoneSpecies distribution modelsmall pelagic fishesclimate refugesbiology.organism_classificationFisherySmall pelagic fishesNW MediterraneanEnvironmental sciencelcsh:Qfutures scenariosFrontiers in Marine Science
researchProduct

Traits mediate niches and co‐occurrences of forest beetles in ways that differ among bioclimatic regions

2021

Aim The aim of this study was to investigate the role of traits in beetle community assembly and test for consistency in these effects among several bioclimatic regions. We asked (1) whether traits predicted species’ responses to environmental gradients (i.e. their niches), (2) whether these same traits could predict co-occurrence patterns and (3) how consistent were niches and the role of traits among study regions. Location Boreal forests in Norway and Finland, temperate forests in Germany. Taxon Wood-living (saproxylic) beetles. Methods We compiled capture records of 468 wood-living beetle species from the three regions, along with nine morphological and ecological species traits. Eight …

0106 biological sciencesBayesian joint species distribution models (JSDMs)Species distributionMODELSDead woodClimate changeUNCERTAINTYphylogeny010603 evolutionary biology01 natural sciencesPhylogeneticsSPECIES DISTRIBUTIONDISTRIBUTIONSsaproxylic beetlesenvironmental gradientsEcology Evolution Behavior and SystematicsEcological nichekovakuoriaisetSAPROXYLIC BEETLESfylogeniaEcologyEcology010604 marine biology & hydrobiologybayesilainen menetelmäBIOTIC INTERACTIONSBayesian joint species distribution models (JSDMs); climate change; Coleoptera; ecological traits; environmental gradients; HMSC; morphological traits; phylogeny; saproxylic beetles; species associations15. Life on landilmastonmuutoksetecological traitsspecies associationsHMSCekologinen lokeroColeopteraGeographyclimate changeFUNCTIONAL TRAITS1181 Ecology evolutionary biologymorphological traitsPATTERNSDEAD-WOODympäristönmuutoksetRESPONSES
researchProduct

Seasonality of spatial patterns of abundance, biomass and biodiversity in a demersal community of the NW Mediterranean Sea

2020

14 pages, 5 figures, 4 tables

0106 biological sciencesBiodiversityBayesian analysisSede Central IEOAquatic ScienceOceanography010603 evolutionary biology01 natural sciencesDemersal zoneMediterranean seaAbundance (ecology)medicineMediterranean SeaPesqueríasspecies distribution modelsEcology Evolution Behavior and SystematicsBiomass (ecology)TemperaturesEcologyEcology010604 marine biology & hydrobiologyseasonal patternsspatial ecologytemperatureSeasonalitymedicine.diseaseGeographySpatial ecology
researchProduct

Accounting for species interactions is necessary for predicting how arctic arthropod communities respond to climate change

2021

Species interactions are known to structure ecological communities. Still, the influence of climate change on biodiversity has primarily been evaluated by correlating individual species distributions with local climatic descriptors, then extrapolating into future climate scenarios. We ask whether predictions on arctic arthropod response to climate change can be improved by accounting for species interactions. For this, we use a 14-year-long, weekly time series from Greenland, resolved to the species level by mitogenome mapping. During the study period, temperature increased by 2 degrees C and arthropod species richness halved. We show that with abiotic variables alone, we are essentially un…

0106 biological sciencesClimate ResearchArthropodaBiodiversityClimate changeAccounting010603 evolutionary biology01 natural sciencesArcticniveljalkaisetTrophic cascade1172 Environmental sciencesEcology Evolution Behavior and SystematicsTrophic levelAbiotic componentarktinen alueEcologyfood webEcologybusiness.industry010604 marine biology & hydrobiologyeliöyhteisötilmastonmuutokset15. Life on landFood webjoint species distribution modelbiodiversiteettitrophic cascadeclimate changeGeographyArctic13. Climate actioncommunity assemblySpecies richnessbusinessravintoverkotEcography
researchProduct

Accounting for preferential sampling in species distribution models

2019

D. C., A. L. Q. and F. M. would like to thank the Ministerio de Educación y Ciencia (Spain) for financial support (jointly financed by the European Regional Development Fund) via Research Grants MTM2013‐42323‐P and MTM2016‐77501‐P, and ACOMP/2015/202 from Generalitat Valenciana (Spain). Species distribution models (SDMs) are now being widely used in ecology for management and conservation purposes across terrestrial, freshwater, and marine realms. The increasing interest in SDMs has drawn the attention of ecologists to spatial models and, in particular, to geostatistical models, which are used to associate observations of species occurrence or abundance with environmental covariates in a fi…

0106 biological sciencesComputer scienceQH301 BiologySpecies distributionPoint processesStochastic partial differential equation01 natural scienceshttp://aims.fao.org/aos/agrovoc/c_6774EspèceAbundance (ecology)StatisticsPesqueríasQAOriginal Researchhttp://aims.fao.org/aos/agrovoc/c_241990303 health sciencesEcologyU10 - Informatique mathématiques et statistiquesSampling (statistics)Integrated nested Laplace approximationstochastic partial differential equationVariable (computer science)symbolsÉchantillonnageSpecies Distribution Models (SDMs)Modèle mathématiqueBayesian probabilityNDASDistribution des populations010603 evolutionary biologyQH30103 medical and health sciencessymbols.namesakeCovariateQA MathematicsSDG 14 - Life Below WaterCentro Oceanográfico de Murciaspecies distribution modelsRelative species abundanceEcology Evolution Behavior and Systematicspoint processes030304 developmental biologyNature and Landscape Conservationhttp://aims.fao.org/aos/agrovoc/c_6113http://aims.fao.org/aos/agrovoc/c_7280Markov chain Monte Carlointegrated nested Laplace approximationU30 - Méthodes de rechercheBayesian modelling
researchProduct

Reciprocal extrapolation of species distribution models between two islands – Specialists perform better than generalists and geological data reduces…

2020

Abstract This study aims to test the extrapolation effects of species distribution models (SDM) using three groups of predictor variables: climate, relief and geology (bedrock type). We highlight potential ecological differences for selected taxa, regarding both generalists and specialists in terms of edaphic conditions. We used distributional data of 12 woody species shared by two large Mediterranean islands (Crete and Sicily) to calibrate Maxent models of their potential distribution. We trained models with data from Crete and extrapolated to Sicily and vice versa. We tested ten proxies for the three variable groups and compared AUC values as a measure of model performance. Extrapolation …

0106 biological sciencesMaquisPlant recordsSpecies distributionExtrapolationExtrapolationGeneral Decision SciencesMediterranean islands010501 environmental sciencesGeneralist and specialist species010603 evolutionary biology01 natural sciencesSpecies distribution modelsSicilyEcology Evolution Behavior and Systematics0105 earth and related environmental sciencesgeographygeography.geographical_feature_categoryEcologyBedrockWoody plantsEdaphicSpecies distribution modelGeology15. Life on landPlant recordCreteMediterranean islandMaquiTaxon13. Climate actionSettore BIO/03 - Botanica Ambientale E ApplicataMediterranean ecosystemPhysical geographyMaxentMediterranean IslandsReciprocal
researchProduct

Predicting marine species distributions: complementarity of food-web and Bayesian hierarchical modelling approaches

2019

16 pages, 9 figures, 3 tables, 1 appendix

0106 biological sciencesMarine conservationSpecies distributionBayesian inference010603 evolutionary biology01 natural sciencesMediterranean SeaSpatial ecology14. Life underwaterCentro Oceanográfico de MurciaPesqueríasSpecies distribution modelsCommercial speciesSpatial planningEcospacebiologyEcology010604 marine biology & hydrobiologyEcological ModelingMerluccius merluccius15. Life on landbiology.organism_classificationEnvironmental niche modellingHabitatFood-web modelBayesian modelSpatial ecologyEnvironmental science
researchProduct

Predictive distribution models of European hake in the south-central Mediterranean Sea

2017

The effective management and conservation of fishery resources requires knowledge of their spatial distribution and notably of their critical life history stages. Predictive modelling of the European hake (Merluccius merluccius L., 1758) distribution was developed in the south-central Mediterranean Sea by means of historical fisheries-independent databases available in the region. The study area included the international waters of the south-central Mediterranean Sea and the territorial waters of Italy, Malta, Tunisia and Libya. Distribution maps of predicted population abundance index, and probabilistic occurrence of recruits and large adults were obtained by means of generalized additive …

0106 biological sciencesMediterranean climateGeneralized additive modelAquatic ScienceSpatial distribution010603 evolutionary biology01 natural sciencesGeneralized additive modelsSeafloor geophysical featureMediterranean seaHakeSeafloor geophysical featuresMerluccius merlucciusSpecies distribution modelling14. Life underwaterLarge adults habitatSettore MAT/07 - Fisica Matematicabiology010604 marine biology & hydrobiologyGeneralized additive modelMerluccius merlucciusbiology.organism_classificationRecruits habitatEnvironmental niche modellingFisheryStrait of SicilyGeographyMerluccius merlucciuPredictive modelling
researchProduct

Assessing the spatiotemporal persistence of fish distributions: a case study on two red mullet species (Mullus surmuletus and M. barbatus) in the wes…

2020

Understanding the spatiotemporal persistence of fish distributions is key to defining fish hotspots and effective fisheries-restricted areas (FRAs). Hierarchical Bayesian spatiotemporal models provide an excellent framework to understand these distributions, as they can accommodate different spatiotemporal behaviour in the data, primarily due to their flexibility. The aim of this research was to characterize the fundamental behavioural patterns of fish as persistent, opportunistic or progressive by comparing different spatiotemporal model structures in order to provide better information for marine spatial planning. To illustrate this method, the spatiotemporal distributions of 2 sympatric …

0106 biological sciencesMediterranean climateRed mulletMullus surmuletusSpatiotemporalAquatic Science01 natural sciencesPersistence (computer science)010104 statistics & probabilityFisheries managementSpecies distribution modellingFisheries-restricted areasCentro Oceanográfico de MurciaPesquerías0101 mathematicsEcology Evolution Behavior and SystematicsEcologybiology010604 marine biology & hydrobiologyMarine spatial planningbiology.organism_classificationMarine spatial planningEnvironmental niche modellingFisheryGeographyFish <Actinopterygii>Fisheries management
researchProduct

Assessing global range expansion in a cryptic species complex: insights from the red seaweed genus Asparagopsis (Florideophyceae)

2017

The mitochondrial genetic diversity, distribution and invasive potential of multiple cryptic operational taxonomic units (OTUs) of the red invasive seaweed Asparagopsis were assessed by studying introduced Mediterranean and Hawaiian populations. Invasive behavior of each Asparagopsis OTU was inferred from phylogeographic reconstructions, past historical demographic dynamics, recent range expansion assessments and future distributional predictions obtained from demographic models. Genealogical networks resolved Asparagopsis gametophytes and tetrasporophytes into four A. taxiformis and one A. armata cryptic OTUs. Falkenbergia isolates of A. taxiformis L3 were recovered for the first time in t…

0106 biological sciencesMediterranean climateSpecies complexfood.ingredientRange (biology)biological invasionsPopulationPlant SciencephylogeographyAquatic ScienceBiologyDNA Mitochondrial010603 evolutionary biology01 natural sciencesHawaiiDNA AlgalMediterranean seafoodEffective population sizeMediterranean SeaAsparagopsiseducationeducation.field_of_studyPlant DispersalEcology010604 marine biology & hydrobiologySequence Analysis DNAspecies distribution modellingSeaweedPhylogeographyPhylogeographymarine algaeRhodophytaIntroduced SpeciesJournal of Phycology
researchProduct