Search results for "Distribution model"

showing 10 items of 63 documents

Supporting group decision makers to locate temporary relief distribution centres after sudden-onset disasters

2020

International audience; In the humanitarian response, multiple decision-makers (DMs) need to collaborate in various problems, such as locating temporary relief distribution centres (RDCs). Several studies have argued that maximising demand coverage, reducing logistics costs and minimising response time are among the critical objectives when locating RDCs after a sudden-onset disaster. However, these objectives are often conflicting and the trade-offs can considerably complicate the situation for finding a consensus.To address the challenge and support the DMs, we suggest investigating the stability of non-dominated alternatives derived from a multi-objective model based on Monte Carlo Simul…

010504 meteorology & atmospheric sciencesComputer sciencemedicine.medical_treatment0211 other engineering and technologiesStability (learning theory)Distribution (economics)02 engineering and technology01 natural sciencesHumanitarian responseNATURAL DISASTERSupport groupINFORMATION-MANAGEMENT[SPI]Engineering Sciences [physics]NETWORK DESIGNGroup decision-making2015 Nepal earthquakemedicineOPTIMIZATIONVDP::Teknologi: 500::Informasjons- og kommunikasjonsteknologi: 550Monte Carlo simulation0105 earth and related environmental sciences021110 strategic defence & security studiesCOORDINATIONCOMPLEXDISTRIBUTION MODELbusiness.industrySTOCHASTIC-MODELHumanitarian responseGeologyGeotechnical Engineering and Engineering GeologyRisk analysis (engineering)Multiobjective facility locationPARETO SETbusinessSafety ResearchHUMANITARIAN LOGISTICSSudden onsetInternational Journal of Disaster Risk Reduction
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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
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Mapping a ‘cryptic kingdom’: Performance of lidar derived environmental variables in modelling the occurrence of forest fungi

2016

Abstract Fungi are crucial to forest ecosystem function and provide important provisioning, regulating, supporting, and cultural ecosystem services. As major contributors to biomass decomposition, fungi are important to forest biogeochemical cycling and maintenance of vertebrate animal diversity. Many forest plant species live in a symbiotic relationship with a fungal partner that helps a host plant to acquire nutrients and water. In addition, edible fungi are recreationally as well as economically valuable. However, most fungi live in very cryptic locations (e.g. in soils and interior plant tissues) and are only visible when their ephemeral fruiting bodies are produced, making fungal occur…

0106 biological sciences010504 meteorology & atmospheric sciencesRange (biology)Soil ScienceBiology010603 evolutionary biology01 natural sciencesEcosystem servicesremote sensingAbundance (ecology)Forest ecologymushroomComputers in Earth Sciences0105 earth and related environmental sciencesNon-timber forest productBiomass (ecology)EcologySpecies diversityGeologydistribution modellingecosystem serviceHabitatta1181fruiting bodynon-timber forest productALSRemote Sensing of Environment
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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
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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
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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
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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
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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
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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
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“Hidden invaders” conquer the Sicily Channel and knock on the door of the Western Mediterranean sea

2019

Abstract This study updates the current distribution, range expansion and establishment status of the non-indigenous species Amphistegina lobifera Larsen, 1976 and other foraminifera that are cryptogenic in the Sicily Channel. Prior to this study, amphisteginids were reported from the Levantine Basin, the Central Mediterranean (Tunisia, Malta, Pelagian islands) and the southern Adriatic Sea. Here, we provide new records documenting a north-western expansion in the Central Mediterranean. In summer-autumn 2017 and spring-summer 2018, we collected algae and sediment samples from shallow coastal habitats along the shores of the Maltese archipelago, southern and north-western Sicily, Pantelleria…

0106 biological sciencesMediterranean climate010504 meteorology & atmospheric sciencesRange (biology)Species distributionAquatic ScienceOceanography01 natural sciencesForaminiferaCentral mediterraneanMediterranean seaA0105 earth and related environmental sciencesShoregeographygeography.geographical_feature_categorybiology010604 marine biology & hydrobiologyBenthic foraminiferaAmphistegina lobiferaSettore GEO/01 - Paleontologia E Paleoecologiabiology.organism_classificationDistribution modelOceanographyArchipelagoNon-indigenous speciesChannel (geography)
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