0000000000172438

AUTHOR

M. Grazia Pennino

showing 6 related works from this author

Bayesian spatio-temporal discard model in a demersal trawl fishery

2014

Spatial management of discards has recently been proposed as a useful tool for the protection of juveniles, by reducing discard rates and can be used as a buffer against management errors and recruitment failure. In this study Bayesian hierarchical spatial models have been used to analyze about 440 trawl fishing operations of two different metiers, sampled between 2009 and 2012, in order to improve our understanding of factors that influence the quantity of discards and to identify their spatio-temporal distribution in the study area. Our analysis showed that the relative importance of each variable was different for each metier, with a few similarities. In particular, the random vessel eff…

0106 biological sciencesPerteSpatial correlationhttp://aims.fao.org/aos/agrovoc/c_28840Computer scienceProcess (engineering)Bayesian probabilitySede Central IEOAquatic ScienceOceanography01 natural sciencesRessource halieutiquehttp://aims.fao.org/aos/agrovoc/c_2173Abundance (ecology)Component (UML)http://aims.fao.org/aos/agrovoc/c_4438Pesquerías14. Life underwaterM11 - Production de la pêchehttp://aims.fao.org/aos/agrovoc/c_7881Ecology Evolution Behavior and SystematicsChalutageU10 - Informatique mathématiques et statistiques010604 marine biology & hydrobiologyhttp://aims.fao.org/aos/agrovoc/c_2801204 agricultural and veterinary sciencesDiscardsFisheryRessource marineVariable (computer science)Théorie bayésienneM40 - Écologie aquatique040102 fisheries0401 agriculture forestry and fisherieshttp://aims.fao.org/aos/agrovoc/c_2942Fisheries managementPêche démersale
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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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Ecology of the Atlantic black skipjack Euthynnus alletteratus (Osteichthyes: Scombridae) in the western Mediterranean Sea inferred by parasitological…

2016

Between 2008 and 2011, the head of 150 Euthynnus alletteratus (Osteichthyes: Scombridae) caught inshore off the southeastern Iberian coast (western Mediterranean Sea) were examined for parasites. Two monogeneans, four didymozoid trematodes and four copepods were found. Parasite abundance showed a positive relationship with the annual sea surface temperature, except for Pseudocycnus appendiculatus, but negative with the sea depth (Capsala manteri, Neonematobothrium cf. kawakawa and Caligus bonito). Prevalences and mean abundances differed significantly among sampling areas, except for C. manteri, Oesophagocystis sp. 2 and Ceratocolax euthynni, and sampling years (Melanocystis cf. kawakawa, N…

0106 biological sciences0301 basic medicineCaligusScombridaeFaunamigration01 natural sciencesHost-Parasite InteractionsCopepoda03 medical and health sciencesFish DiseasesCentro Oceanográfico de BalearesDidymozoidaeMediterranean seaMediterranean SeaPrevalenceAnimalsParasitesPesqueríasBonitoAtlantic OceanEuthynnusbiologyEcology010604 marine biology & hydrobiologyparasite CopepodaPelagic zone030108 mycology & parasitologybiology.organism_classificationPerciformesFisherySea surface temperatureInfectious DiseasesScombridaeAnimal Science and ZoologyParasitologyAnimal MigrationTrematodaMonogenea
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Modelling sensitive elasmobranchs habitat

2013

Basic information on the distribution and habitat preferences of ecologically important species is essential for their management and protection. In the Mediterranean Sea there is increasing concern over elasmobranch species because their biological (ecological) characteristics make them highly vulnerable to fishing pressure. Their removal could affect the structure and function of marine ecosystems, inducing changes in trophic interactions at the community level due to the selective elimination of predators or prey species, competitors and species replacement. In this study Bayesian hierarchical spatial models are used to map the sensitive habitats of the three most caught elasmobranch spe…

0106 biological scienceshttp://aims.fao.org/aos/agrovoc/c_28840Etmopterus spinaxhabitatAquatic ScienceDistribution des populationshttp://aims.fao.org/aos/agrovoc/c_38371OceanographyGaleus melastomus010603 evolutionary biology01 natural sciencesElasmobranch habitatPredationMediterranean seahttp://aims.fao.org/aos/agrovoc/c_38127http://aims.fao.org/aos/agrovoc/c_3041Scyliorhinus caniculaMediterranean SeaVulnerable speciesMarine ecosystem14. Life underwaterhttp://aims.fao.org/aos/agrovoc/c_4699Ecology Evolution Behavior and Systematicshttp://aims.fao.org/aos/agrovoc/c_12399Trophic levelhttp://aims.fao.org/aos/agrovoc/c_6113biologyEcologyU10 - Informatique mathématiques et statistiques010604 marine biology & hydrobiologyScyliorhinus caniculabiology.organism_classificationBiologie marinetechnique de prévisionBayesian hierarchical spatial modelSpecies distribution modelingFisheryHabitatThéorie bayésienneGaleus melastomusM40 - Écologie aquatiquehttp://aims.fao.org/aos/agrovoc/c_10566http://aims.fao.org/aos/agrovoc/c_3456http://aims.fao.org/aos/agrovoc/c_38117Elasmobranchii
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Searching for a compromise between biological and economic demands to protect vulnerable habitats

2018

AbstractIdentifying vulnerable habitats is necessary to designing and prioritizing efficient marine protected areas (MPAs) to sustain the renewal of living marine resources. However, vulnerable habitats rarely become MPAs due to conflicting interests such as fishing. We propose a spatial framework to help researchers and managers determine optimal conservation areas in a multi-species fishery, while also considering the economic relevance these species may have in a given society, even in data poor situations. We first set different ecological criteria (i.e. species resilience, vulnerability and trophic level) to identify optimal areas for conservation and restoration efforts, which was bas…

0106 biological sciencesNature reserveMarine conservationFlexibility (engineering)Multidisciplinary010604 marine biology & hydrobiologylcsh:RFishingVulnerabilitylcsh:MedicineSede Central IEO15. Life on land010603 evolutionary biology01 natural sciencesArticle/dk/atira/pure/sustainabledevelopmentgoals/life_below_waterHabitatlcsh:QMarine protected areaSDG 14 - Life Below Water14. Life underwaterBusinesslcsh:ScienceResilience (network)Environmental planningScientific Reports
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The analysis of convergence in ecological indicators: An application to the Mediterranean fisheries

2017

9 pages, 4 figures, 3 tables

0106 biological sciencesMediterranean climateIndex (economics)[SDE.MCG]Environmental Sciences/Global ChangesFishingGeneral Decision SciencesTransition probability matrix;Sede Central IEOtMediterranean sea010603 evolutionary biology01 natural sciencesEcological indicatorsMediterranean sea[SDV.EE.ECO]Life Sciences [q-bio]/Ecology environment/EcosystemsEcosystem approach to fisheries managemenConvergence analysisMediterranean SeaEcosystemEcosystem approach to fisheries management14. Life underwaterEcology Evolution Behavior and SystematicsTrophic levelEstimationEcologybusiness.industry010604 marine biology & hydrobiologyEnvironmental resource managementTransition probability matrixFisheryEcological indicatorGeographyNon-parametric density estimation[SDV.SA.STP]Life Sciences [q-bio]/Agricultural sciences/Sciences and technics of fishery[SDE.BE]Environmental Sciences/Biodiversity and Ecologybusiness
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