Search results for "dispersal model"

showing 3 items of 3 documents

Spatiotemporal Dispersal and Deposition of Fish Farm Wastes: A Model Study from Central Norway

2017

Abstract A spatially explicit coupled hydrodynamic-mass transport model system was used to simulate dispersal of particulate organic matter from Atlantic salmon (Salmo salar) farming in central Norway. Model setups of 32 m horizontal resolution were run for periods of up to 650 days for 3 sites of different oceanographic characteristics: one fjord location, one medium-exposed location influenced by fjord water and one coastal location. Records on feed used for each cage at each location were converted to feces released based on a published mass balance model. The results from the simulations were compared with scores from corresponding mandatory benthic surveys (MOM-B) of the sediment layer…

0106 biological scienceslcsh:QH1-199.5environmental effectsOcean EngineeringFjordlcsh:General. Including nature conservation geographical distributionAquatic ScienceOceanography01 natural sciencesDeposition (geology)SettlingMarine ScienceOrganic matterSalmolcsh:ScienceWater Science and Technologychemistry.chemical_classificationHydrologyGlobal and Planetary Changegeographygeography.geographical_feature_categorybiologyaquaculture effects010604 marine biology & hydrobiologySediment04 agricultural and veterinary sciencesbiology.organism_classificationFisheryfish farm wasteschemistryBenthic zonehydrodynamic modeling040102 fisheries0401 agriculture forestry and fisheriesBiological dispersalEnvironmental sciencelcsh:Qdepositional modelaquaculture dispersal model
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Modéliser la réponse des espèces marines antarctiques aux changements environnementaux. Méthodes, applications et limites.

2021

Among tools that are used to fill knowledge gaps on natural systems, ecological modelling has been widely applied during the last two decades. Ecological models are simple representations of a complex reality. They allow to highlight environmental drivers of species ecological niche and better understand species responses to environmental changes. However, applying models to Southern Ocean benthic organisms raises several methodological challenges. Species presence datasets are often aggregated in time and space nearby research stations or along main sailing routes. Data are often limited in number to correctly describe species occupied space and physiology. Finally, environmental datasets …

[SDV.EE]Life Sciences [q-bio]/Ecology environmentphysiological modelModélisation écologiqueEspèces marines benthiquesmodel performancePhysiological modelsspecies distribution modellingModèles de distribution d’espècesOcéan Australdispersal model[SDV.EE] Life Sciences [q-bio]/Ecology environmentModèles de dispersion lagrangiensSpecies distribution modelsecological modellingLagrangian dispersal modelsSouthern OceanModèles physiologiquesEcological modellingMarine benthic speciesSciences exactes et naturelles
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Data from: Population-level consequences of risky dispersal

2015

Achieving sufficient connectivity between populations is essential for persistence, but costs of dispersal may select against individual traits or behaviours that, if present, would improve connectivity. Existing dispersal models tend to ignore the multitude of risks to individuals: while many assess the effect of mortality costs, there is also a risk of failing to find new habitat, especially when the entire inhabitable area remains both small and fragmented. There are few known rules governing whether individuals evolve to disperse more, or less, than what is ideal for population connectivity and persistence. Here we aim to fill this gap, while also noting that evolution might not only pr…

medicine and health carehypermobilityLife SciencesMedicineedge effectsinertiadispersal modelevolution of dispersal
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