0000000000696973

AUTHOR

Maria Grazia Pennino

showing 26 related works from this author

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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Abundance and Distribution Patterns of Thunnus albacares in Isla del Coco National Park through Predictive Habitat Suitability Models

2016

Information on the distribution and habitat preferences of ecologically and commercially important species is essential for their management and protection. This is especially important as climate change, pollution, and overfishing change the structure and functioning of pelagic ecosystems. In this study, we used Bayesian hierarchical spatial-temporal models to map the Essential Fish Habitats of the Yellowfin tuna (Thunnus albacares) in the waters around Isla del Coco National Park, Pacific Costa Rica, based on independent underwater observations from 1993 to 2013. We assessed if observed changes in the distribution and abundance of this species are related with habitat characteristics, fis…

CocosChlorophyll0106 biological sciences010504 meteorology & atmospheric scienceslcsh:MedicineOceanography01 natural sciencesGeographical LocationsAbundanceAbundance (ecology)OceansZoologíaIsla del Coco National Parklcsh:ScienceClimatologyMultidisciplinarybiologyEcologyNational parkFishesTemperatureAgricultureSurface TemperatureGeographyHabitatOsteichthyesVertebratesPhysical SciencesMarine GeologyThunnusResearch ArticleCosta RicaYellowfin tunaSurface PropertiesClimate ChangeOceaniaMaterials ScienceMaterial PropertiesFisheriesSede Central IEOAnimalsAtmospheric scienceWeatherEcosystem0105 earth and related environmental sciencesOverfishingTunaChlorophyll A010604 marine biology & hydrobiologylcsh:REl Ni単o-Southern OscillationOrganismsBiology and Life SciencesCentral AmericaBayes TheoremPelagic zoneBodies of Waterbiology.organism_classificationThunnus albacaresMarine and aquatic sciencesFisheryEarth sciencesPeople and PlacesNorth AmericaGeographic Information Systemslcsh:QTunaAnimal DistributionPLOS ONE
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Modelagem espacial bayesiana para riqueza de elasmobrânquios do extremo sul do Brasil

2019

Compreender a distribuição espacial de espécies vulneráveis a exploração pesqueira pode subsidiar ações de manejo e conservação. O objetivo deste estudo foi mapear possíveis habitats essenciais para riqueza de elasmobrânquios no sul do Brasil. Os dados são oriundos de cruzeiro científico realizado em fevereiro de 2005 entre o arroio Chuí (33°45'S) e o Cabo de Santa Marta Grande (28°36'S). As informações disponíveis são posições georeferenciadas de 64 estações oceanográficas, a quantificação das capturas de elasmobrânquios e teleósteos com pesca de arrasto de fundo e o registro dos parâmetros ambientais de profundidade, temperatura e salinidade. Os dados foram ajustados a um Modelo Linear Ge…

Spatial modelsGeneral MedicineElasmobranch hot-spotsR - INLARevista CEPSUL - Biodiversidade e Conservação Marinha
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Evidence for spatiotemporal shift in demersal fishery management priority areas in the western Mediterranean

2022

14 pages, 10 figures, 2 tables, 1 appendix

QH301 BiologySpecies distributionMarine Protected AreasAquatic ScienceFootprintQH301Species levelCentro Oceanográfico de VigoMediterranean SeaDynamismPesqueríasQA MathematicsSDG 14 - Life Below WaterSH Aquaculture. Fisheries. AnglingSHQAEcology Evolution Behavior and SystematicsBayesian modelsMCCCommunity level3rd-DASPriority areasFisheryIdentification (information)GeographySurvey data collection
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Modeling the distribution of thorny skate (Amblyraja radiata) in the southern Grand Banks (Newfoundland, Canada)

2019

Globally, commercial fisheries have had a strong impact on elasmobranch populations directly through high catch rates and indirectly through bycatch. Consequently, the abundance of many species is declining to the extent that some are considered under threat of extinction. Regionally, this negative trend is also evident in the international waters of the southern Grand Banks (off the coast of Newfoundland, Canada), where the occurrence of the thorny skate (Amblyraja radiata) has declined by nearly 70% in recent decades. This study used Bayesian species distribution models to investigate the habitat preference and biomass trends of the thorny skate during a 14-year period (2003–2017), linki…

0106 biological sciencesbiologybusiness.industry010604 marine biology & hydrobiologyRadiataDistribution (economics)Aquatic Sciencebiology.organism_classification010603 evolutionary biology01 natural sciencesThorny skateFisheryBycatchGeographyAbundance (ecology)businessAmblyrajaEcology Evolution Behavior and SystematicsCanadian Journal of Fisheries and Aquatic Sciences
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Bayesian analysis improves experimental studies about temporal patterning of aggression in fish.

2017

Made available in DSpace on 2018-12-11T17:15:13Z (GMT). No. of bitstreams: 0 Previous issue date: 2017-12-01 Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) This study aims to describe a Bayesian Hierarchical Linear Model (HLM) approach for longitudinal designs in fish's experimental aggressive behavior studies as an alternative to classical methods In particular, we discuss the advantages of Bayesian analysis in dealing with combined variables, non-statistically significant results and required sample size using an experiment of angelfish (Pterophyllum scalare) species as case study. Groups of 3 individuals were subjected to daily observations recorded for 10 min durin…

0106 biological sciencesMonte Carlo methodBayesian probabilityBayesian analysisAquaculture010603 evolutionary biology01 natural sciencesStability (probability)Behavioral NeuroscienceStatisticsAnimals0501 psychology and cognitive sciences050102 behavioral science & comparative psychologyPterophyllum scalareProbabilitybiologyMarkov chain05 social sciencesMultilevel modelAggressive behaviorBayes TheoremGeneral MedicineCichlidsbiology.organism_classificationLongitudinal designMarkov ChainsAggressionVariable (computer science)Sample size determinationResearch DesignAnimal Science and ZoologyPsychologyMonte Carlo MethodBehavioural processes
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The use of a spatial model of economic efficiency to predict the most likely outcomes under different fishing strategy scenarios

2021

The current European Union has been progressively implementing since January 2014 a discard ban which includes the obligation to land unwanted catch for certain regulated species and sizes. Although a full enforcement of the landing obligation has a direct impact on discard reduction through more responsible and selective fishing, fishers argue that it will prompt both a decrease in incomes and an increase in working time onboard. Thus, the measure is in a hold in south-western waters due to the difficulties to implement the ban in mixed fisheries This paper analyzes some possible scenarios which fishers could face under the landing obligation. It is shown the construction of a spatial bio-…

0106 biological sciencesEconomic efficiencyEconomics and EconometricsNatural resource economicsStatus quoTrawling010604 marine biology & hydrobiologymedia_common.quotation_subjectFishing04 agricultural and veterinary sciencesManagement Monitoring Policy and LawAquatic Science01 natural sciencesWorking timeGross profit040102 fisheries0401 agriculture forestry and fisheriesmedia_common.cataloged_instanceBusinessEuropean unionEnforcementLawGeneral Environmental Sciencemedia_commonMarine Policy
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Habitat modeling for cetacean management: Spatial distribution in the southern Pelagos Sanctuary (Mediterranean Sea)

2017

International audience; Effective management and conservation of wild populations requires knowledge of their habitats, especially by mean of quantitative analyses of their spatial distributions. The Pelagos Sanctuary is a dedicated marine protected area for Mediterranean marine mammals covering an area of 90,000km2 in the north-western Mediterranean Sea between Italy, France and the Principate of Monaco. In the south of the Sanctuary, i.e. along the Sardinian coast, a range of diverse human activities (cities, industry, fishery, tourism) exerts several current ad potential threats to cetacean populations. In addition, marine mammals are recognized by the EU Marine Strategy Framework Direct…

0106 biological sciences[SDE.MCG]Environmental Sciences/Global ChangesPopulationStenella coeruleoalbaOceanography010603 evolutionary biology01 natural sciencesMarine Strategy Framework DirectiveMediterranean sea[SDV.EE.ECO]Life Sciences [q-bio]/Ecology environment/Ecosystemsbiology.animal14. Life underwatereducationBayesian modelsCetacean distributionseducation.field_of_studybiologyBalaenopteraEcology010604 marine biology & hydrobiologyconservation15. Life on landBottlenose dolphinbiology.organism_classificationFisheryMpaGeographyOceanographyHabitat13. Climate actionMarine protected area[SDE.BE]Environmental Sciences/Biodiversity and Ecology
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Ingestion of microplastics and occurrence of parasite association in Mediterranean anchovy and sardine

2020

10 pages, 6 figures, 1 table, supplementary data https://doi.org/10.1016/j.marpolbul.2020.111399

0106 biological sciencesMediterranean climatemarine litterMicroplastics[SDE.MCG]Environmental Sciences/Global ChangesMicroplasticsplastic debrishabitatZoologySmall pelagic fish010501 environmental sciencesAquatic Sciencecoastal areasOceanographyBayesian01 natural sciencesEngraulisMediterranean seaAbundance (ecology)AnchovyMediterranean SeaAnimalsHumansIngestionParasitesPesqueríasCentro Oceanográfico de Murcia14. Life underwaterPlastic ingestion0105 earth and related environmental sciencesFish parasitesbiology010604 marine biology & hydrobiologydigestive oral and skin physiologySardineFishesbiology.organism_classificationPollution3. Good healthengraulis-encrasicoluspilchardusBayesian. Gut contentssea-floor[SDE.BE]Environmental Sciences/Biodiversity and Ecologydietfeeding-behaviorGut contentsPlasticsWater Pollutants Chemical
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Bayesian spatio-temporal approach to identifying fish nurseries by validating persistence areas

2015

Spatial and temporal closures of fish nursery areas to fishing have recently been recognized as useful tools for efficient fisheries management, as they preserve the reproductive potential of populations and increase the recruitment of target species. In order to identify and locate potential nursery areas for spatio-temporal closures, a solid understanding of species− environment relationships is needed, as well as spatial identification of fish nurseries through the application of robust analyses. One way to achieve knowledge of fish nurseries is to analyse the persistence of recruitment hotspots. In this study, we propose the comparison of different spatiotemporal model structures to ass…

0106 biological sciencesMediterranean climatehttp://aims.fao.org/aos/agrovoc/c_28840[SDV]Life Sciences [q-bio]01 natural sciencesMediterranean seaAbundance (ecology)Ecosystem approachEcologybiologyEcologyU10 - Informatique mathématiques et statistiquesinteraction élevage environnementmodèle de distributionMerluccius merlucciushttp://aims.fao.org/aos/agrovoc/c_41529zone de pêcheNursery areasSpatio temporal analysisanalyse bayésienneGeographyGestion des pêchesgestion spatialealevinageFisheries managementFishinganalyse spatiotemporellegestion des ressources naturellesAquatic Science010603 evolutionary biologyhttp://aims.fao.org/aos/agrovoc/c_24026étude comparativeHakeMerluccius merluccius14. Life underwaterhttp://aims.fao.org/aos/agrovoc/c_4699Ecology Evolution Behavior and Systematicshttp://aims.fao.org/aos/agrovoc/c_12399Distribution patternapproche ecosystémiqueÉcologie marinehttp://aims.fao.org/aos/agrovoc/c_4609010604 marine biology & hydrobiologybiology.organism_classificationBiologie marineFisheryThéorie bayésiennehttp://aims.fao.org/aos/agrovoc/c_9000115M40 - Écologie aquatiqueBayesian hierarchical modellingMarine protected areaSpatial fisheries managementNursery areas;Distribution pattern;Ecosystem approach;Spatial fisheries management;Spatio temporal analysis;Bayesian hierarchical modelling;Merluccius merluccius
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On the Role of Perception: Understanding Stakeholders’ Collaboration in Natural Resources Management through the Evolutionary Theory of Innovation

2021

Natural resources management deals with highly complex socioecological systems. This complexity raises a conundrum, since wide-ranging knowledge from different sources and types is needed, but at the same time none of these types of knowledge is able by itself to provide the basis for a viable productive system, and mismatches between the two of them are common. Therefore, a growing body of literature has examined the integration of different types of knowledge in fisheries management. In this paper, we aim to contribute to this ongoing debate by integrating the evolutionary theory of innovation—and specifically the concept of proximity—and the theory of perception. We set up a theoretical …

0106 biological sciencesDescriptive knowledgeKnowledge managementevolutionary theory of innovationComputer sciencemedia_common.quotation_subjectGeography Planning and Developmentlcsh:TJ807-830lcsh:Renewable energy sourcesnatural resources managementManagement Monitoring Policy and Lawperception010603 evolutionary biology01 natural sciencesInteractive LearningPerceptionObligationCentro Oceanográfico de MurciaPesqueríasNatural resource managementSet (psychology)natural resourceslcsh:Environmental sciencesmedia_commonfishlcsh:GE1-350Renewable Energy Sustainability and the Environmentbusiness.industry010604 marine biology & hydrobiologylcsh:Environmental effects of industries and plantsfishers’ knowledgeproximityCognitionsustainabilitylcsh:TD194-195Fisheries managementbusinessresourcesmanagementSustainability
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Shift in Tuna Catches due to Ocean Warming.

2017

Ocean warming is already affecting global fisheries with an increasing dominance of catches of warmer water species at higher latitudes and lower catches of tropical and subtropical species in the tropics. Tuna distributions are highly conditioned by sea temperature, for this reason and their worldwide distribution, their populations may be a good indicator of the effect of climate change on global fisheries. This study shows the shift of tuna catches in subtropical latitudes on a global scale. From 1965 to 2011, the percentage of tropical tuna in longliner catches exhibited a significantly increasing trend in a study area that included subtropical regions of the Atlantic and western Pacifi…

0106 biological sciencesTime Factors010504 meteorology & atmospheric sciencesEffects of global warming on oceanslcsh:MedicineMarine and Aquatic SciencesOceanographyGlobal Warming01 natural sciencesOceansTropical climateClimate changeZoologíaPesqueríaslcsh:ScienceIndian OceanNorthern HemisphereLatitudeMultidisciplinaryGeographyFishesTemperatureAgricultureOsteichthyesVertebratesResearch ArticleCartographyOceans and SeasFisheriesClimate changeSede Central IEOSubtropicsAnimalsVulnerability of tropical countries to climate change14. Life underwaterOcean TemperatureTropical tuna distribution0105 earth and related environmental sciencesTropical ClimatePacific OceanTuna010604 marine biology & hydrobiologylcsh:RGlobal warmingOrganismsBiology and Life SciencesTropicsNumerical Analysis Computer-AssistedBodies of WaterModels TheoreticalFisherySea surface temperatureEffect on fisheries13. Climate actionEarth SciencesEnvironmental sciencelcsh:QTunaGeographic areas
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Discard ban: A simulation-based approach combining hierarchical Bayesian and food web spatial models

2020

12 pages, 6 figures, 6 tables, 2 appendixes, supplementary data https://doi.org/10.1016/j.marpol.2019.103703

0106 biological sciencesEconomics and EconometricsComputer scienceFishingSede Central IEOContext (language use)Management Monitoring Policy and LawAquatic ScienceBayesian inference01 natural sciencesEnvironmental datamedia_common.cataloged_instanceEcoSimSpatial ecologyPesquerías14. Life underwaterEuropean unionGeneral Environmental Sciencemedia_commonEcospacebusiness.industry010604 marine biology & hydrobiologyEnvironmental resource management04 agricultural and veterinary sciencesFood web modelDiscardsDiscards13. Climate actionBayesian modelLanding obligationMediterranean sea040102 fisheries0401 agriculture forestry and fisheriesFisheries managementbusinessLaw
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A Marine Spatial Planning Approach to Minimize Discards: Challenges and Opportunities of the Landing Obligation in European Waters

2018

A sensible approach to minimize discards is to avoid areas or seasons where unwanted catch may be present. The implementation of a Marine Spatial Planning (MSP) approach to discard management requires the understanding of marine biological processes, as well as fishing conditions at a defined spatial scale. Mathematical models that analyze the spatio-temporal conditions of selected fishing areas allow the definition of different scenarios where discards are minimized by avoiding fishing for unwanted species and/or illegal specimens. Here we show some examples of how particular spatial models can be used for advice on MSP for discards. We introduce a geoserver GIS platform developed to produ…

0106 biological sciencesComputer sciencebusiness.industry010604 marine biology & hydrobiologyEnvironmental resource managementFishingMarine spatial planning010603 evolutionary biology01 natural sciencesCentro Oceanográfico de A CoruñaGeneralLiterature_MISCELLANEOUSDiscardsSpatial ecologyPesqueríasObligationbusiness
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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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Integrating spatial management measures into fisheries: The Lepidorhombus spp. case study

2020

Most fisheries management systems rely on a set of regulatory measures to achieve desired objectives. Controls on catch and effort are usually supplemented with gear restrictions, minimum landing sizes, and in the framework of the new common fisheries policy, limitation of discards and by-catch. However, the increasing use of spatial management measures such as conservation areas or spatial and temporal area closures faces new challenges for fishery managers. Here we present an integrated spatial framework to identify areas in which undersized commercial species are more abundant. Once these areas are identified they could be avoided by fishers, minimizing the fishing impact over the immatu…

0106 biological sciencesEconomics and EconometricsCentro Oceanográfico de SantanderFishingManagement Monitoring Policy and LawAquatic Science01 natural sciencesEnvironmental dataIntegrated fishery managementMedio MarinoUndersized fishBayesian modelsGeneral Environmental Sciencefishbiology010604 marine biology & hydrobiologySensitive areas04 agricultural and veterinary sciencesbiology.organism_classificationDiscardsFisheryLepidorhombusGeographyDiscardsocean policySpatial managementLanding obligation040102 fisheriesSpatial ecology0401 agriculture forestry and fisheriesFisheries managementMegrimecologyLaw
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Predictive habitat suitability models to aid the conservation of elasmobranchs in Isla del Coco National Park (Costa Rica)

2021

Abstract Worldwide there is increasing concern for elasmobranch species given that their biological and ecological characteristics make them highly vulnerable to fishing pressure. The disappearance of these species could affect the structure and function of marine ecosystems, which would induce changes in trophic interactions at the community level. For effective conservation and management of elasmobranchs detailed knowledge of their habitat preferences is essential. Yet, there is a poor understanding of their spatial ecology. Isla del Coco National Park is an oceanic island in Pacific Costa Rica and renowned for being a sanctuary for migratory pelagic species, such as elasmobranchs and ot…

Costa RicaNational parkFishingMarine habitatsBiodiversityHabitat suitability modelsAquatic ScienceElasmobranchsOceanographyFisheryOverexploitationGeographyHabitatSpatial ecologyZoologíaMarine ecosystemMarine protected areaEcology Evolution Behavior and SystematicsJournal of Marine Systems
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The Bias of combining variables on fish's aggressive behavior studies.

2019

Made available in DSpace on 2019-10-06T16:27:42Z (GMT). No. of bitstreams: 0 Previous issue date: 2019-07-01 Quantifying animal aggressive behavior by behavioral units, either displays or attacks, is a common practice in animal behavior studies. However, this practice can generate a bias in data analysis, especially when the variables have different temporal patterns. This study aims to use Bayesian Hierarchical Linear Models (B-HLMs) to analyze the feasibility of pooling the aggressive behavior variables of four cichlids species. Additionally, this paper discusses the feasibility of combining variables by examining the usage of different sample sizes and family distributions to aggressive …

0106 biological sciencesBayesian probabilityPosterior probabilityBayesian analysisPoisson distribution010603 evolutionary biology01 natural sciencesBehavioral Neurosciencesymbols.namesakeBiasPrior probabilityStatisticsAnimals0501 psychology and cognitive sciences050102 behavioral science & comparative psychologyPterophyllum scalareMathematicsProbabilitybiologyBehavior Animal05 social sciencesMultilevel modelBayes TheoremGeneral MedicineCichlidsbiology.organism_classificationAggressive behaviourMarkov ChainsAggressionVariable (computer science)Sample size determinationData Interpretation StatisticalsymbolsAnimal Science and ZoologyPooled dataMonte Carlo MethodBehavioural processes
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Spatio-Temporal Assessment of the European Hake (Merluccius merluccius) Recruits in the Northern Iberian Peninsula

2021

14 pages, 9 figures, 3 tables.-- This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY)

Stock assessmentlcsh:QH1-199.5Range (biology)recruitsContext (language use)Ocean Engineeringbayesian modelsAquatic Sciencelcsh:General. Including nature conservation geographical distributionOceanographyHakePeninsulaINLAhurdle-modelBathymetryCentro Oceanográfico de MurciaPesqueríaslcsh:Sciencestock assessmentliving resourcesWater Science and TechnologyEuropean hakefishgeographyGlobal and Planetary Changegeography.geographical_feature_categorybiologyContinental shelfspatial ecologyconservationMerluccius merlucciushurdle-modebiology.organism_classificationsustainabilityFisherylcsh:QINLA approachbiotechnology
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Illegal fishing in Isla del Coco National Park: Spatial-temporal distribution and the economic trade-offs

2020

Abstract The Isla del Coco National Park, located on the Pacific coast of Costa Rica, is rich in biodiversity and has a high concentration of pelagic species. This high marine biodiversity makes the Isla del Coco National Park (PNIC) a very attractive place for illegal fishers. We analyzed a dataset covering 8 years (2003–2010) of patrol records from PNIC with the aim of determining, a) the spatial-temporal distribution of illegal fishing, b) other areas that could be prone to illegal fishing but are currently undetected, c) the most profitable areas for this activity and d) the economic trade-offs of this illegal activity in relation to potential gains and the costs. Residuals Autocovariat…

Costa RicaEconomics and EconometricsYellowfin tunaCosta RicaIBiodiversityDistribution (economics)Sede Central IEOllegal fishingManagement Monitoring Policy and LawAquatic ScienceYellowfin tunaAbundance (ecology)ZoologíaPesqueríasSpatial-temporal modelGeneral Environmental SciencebiologyNational parkbusiness.industryGeneralized additive modelMarine reserveMarine reservePelagic zoneSharkbiology.organism_classificationIllegal fishingFisheryGeographybusinessLawMarine Policy
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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
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Small-scale shrimp fisheries bycatch: a multi-criteria approach for data-poor situations

2020

Abstract Bycatch and discards from small-scale fisheries (SSF) are usually ignored when compared with industrial fisheries, not only by policy-makers, but also by scientists. Therefore, SSF social, economic and ecological impacts are poorly known and especially in the context of incidental catches, regardless of whether they become bycatch or discards. Such neglect is worrisome due to the role that SSF play in food security and poverty alleviation, particularly in coastal and rural communities in developing countries. In this study, a combination of sampling data and the fishers' behavior (specifically the basis of their decision on where to fish) were used. Bayesian models were applied to …

0106 biological sciencesEconomics and EconometricsFishingFishers' behaviorContext (language use)Management Monitoring Policy and LawAquatic Science01 natural sciencesCentro Oceanográfico de MurciaPesqueríasBayesian modelsGeneral Environmental ScienceFood security010604 marine biology & hydrobiologyShrimp fisherySubsistence agriculture04 agricultural and veterinary sciencesLivelihoodDiscardsBycatchFisheryGeographyEconomic incentives040102 fisheries0401 agriculture forestry and fisheriesLaw
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Social-ecological trends: managing the vulnerability of coastal fishing communities

2019

The loss of biodiversity, including the collapse of fish stocks, affects the vulnerability of social-ecological systems (SESs) and threatens local livelihoods. Incorporating community-centered indicators and SES drivers and exposures of change into coastal management can help anticipate and mitigate human and/or coastal vulnerability. We have proposed a new index to measure the social-ecological vulnerability of coastal fishing communities (Index of Coastal Vulnerability [ICV]) based on species, ecosystem, and social indicators. The ICV varies from 0 (no vulnerability) to 1 (very high vulnerability) and is composed of 3 components: species vulnerability, i.e., fish biological traits; ecosys…

QH301-705.5FishingvulnerabilityVulnerabilitylivelihoodscoupled systemEcosystem servicescomponentsAnthropocenehuman ecologyparasitic diseasesAnthropoceneHuman ecologyResource dependencyresource dependencyPesqueríasCentro Oceanográfico de MurciaBiology (General)QH540-549.5biodiversityfishEcologybusiness.industryEnvironmental resource managementfungiGeographybusinessecosystem servicesgeographic locations
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Modelling spatially sampled proportion processes​​

2018

Many ecological processes are measured as proportions and are spatially sampled. In all these cases the standard procedure has long been the transformation of proportional data with the arcsine square root or logit transformation, without considering the spatial correlation in any way. This paper presents a robust regression model to analyse this kind of data using a beta regression and including a spatially correlated term within the Bayesian framework. As a practical example, we apply the proposed approach to a spatio-temporally sampled fishery discard dataset.

Estadística bayesiana
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Bayesian longitudinal models for exploring European sardine fishing in the Mediterranean Sea

2020

In the Mediterranean Sea, catches are dominated by small pelagic fish, representing nearly the 49\% of the total harvest. Among them, the European sardine (Sardina pilchardus) is one of the most commercially important species showing high over-exploitation rates in recent last years. In this study we analysed the European sardine landings in the Mediterranean Sea from 1970 to 2014. We made use of Bayesian longitudinal linear mixed models in order to assess differences in the temporal evolution of fishing between and within countries. Furthermore, we modelled the subsequent joint evolution of artisanal and industrial fisheries. Overall results confirmed that Mediterranean fishery time series…

FOS: Computer and information sciencesApplications (stat.AP)Statistics - Applications
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Implementing ecosystem approach to fishery management: advances and new tools

2013

Desde la antigüedad, la pesca ha sido una fuente importante de alimentos para la humanidad, así como fuente de empleo y beneficios económicos para quienes se dedican a esta actividad. Sin embargo, con el aumento de los conocimientos científicos y la evolución dinámica de la pesca se hizo evidente de que los recursos acuáticos, aunque renovables, no eran infinitos y era necesario gestionar adecuadamente su contribución al bienestar nutricional, económico y el bienestar social de la población mundial para un crecimiento y desarrollo sostenible. En los últimos años, la pesca mundial se ha convertido en un sector dinámico y de desarrollo de la industria alimentaria. Los estados costeros han pro…

bayesian spatial modelsUNESCO::MATEMÁTICAS::Estadística::Técnicas de predicción estadística:MATEMÁTICAS::Estadística::Técnicas de predicción estadística [UNESCO]:CIENCIAS DE LA TIERRA Y DEL ESPACIO::Oceanografía::Zoología marina [UNESCO]ecosystem approach to fishery managementspecies distribution modelsUNESCO::CIENCIAS DE LA TIERRA Y DEL ESPACIO::Oceanografía::Zoología marina
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