Search results for "source"

showing 10 items of 6139 documents

Avoiding perceived past resource use of potential competitors affects niche dynamics in a bird community

2014

Abstract. Background: Social information use is usually considered to lead to ecological convergence among involved con- or heterospecific individuals. However, recent results demonstrate that observers can also actively avoid behaving as those individuals being observed, leading to ecological divergence. This phenomenon has been little explored so far, yet it can have significant impact on resource use, realized niches and species co-existence. In particular, the time-scale and the ecological context over which such shifts can occur are unknown. We examined with a long-term (four years) field experiment whether experimentally manipulated, species-specific, nest-site feature preferences (sy…

0106 biological sciencesMaleTime FactorsIntra- and interspecific competition[SDV]Life Sciences [q-bio]NicheEcological and Environmental PhenomenaContext (language use)BreedingFicedula010603 evolutionary biology01 natural sciencesNesting BehaviorEvolutionsbiologiNiche divisionNestSpecies SpecificityAnimalsPasseriformesSpecies interactionsSocial BehaviorResource partitioningEcology Evolution Behavior and SystematicsParusEcological nicheEvolutionary BiologybiologyEcologyFicedulaCavity nesting birdsInterspecific competitionbiology.organism_classificationIntra-and interspecific competitionNest-site selection010601 ecologySocial information useParusGuildFemaleSeasonsResearch Article
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Effectiveness of European Atlanto-Mediterranean MPAs: Do they accomplish the expected effects on populations, communities and ecosystems?

2008

The success of MPAs in conserving fishing resources and protecting marine biodiversity relies strongly on how well they meet their planned (or implicit) management goals. From a review of empirical studies aiming at assessing the ecological effects of Mediterranean and Macaronesian MPAs, we conclude that establishing an MPA is successful for (i) increasing the abundance/biomass, (ii) increasing the proportion of larger/older individuals, and (iii) enhancing the fecundity of commercially harvested populations; also, MPAs demonstrated to be effective for (iv) augmenting local fishery yields through biomass exportation from the protected area, and (v) inducing shifts in fish assemblage structu…

0106 biological sciencesMarine conservationCoastal zone managementSettore BIO/07 - EcologiaMacaronesia.Marine conservation[SDE.MCG]Environmental Sciences/Global ChangesMarine protected areaMediterranean010603 evolutionary biology01 natural sciencesCentro Oceanográfico de BalearesEnvironmental protectionMarine resources conservation -- Mediterranean SeaMacaronesiaMarine protected areasDominance (ecology)EcosystemCoastal ecologyMeta-analysi14. Life underwaterCoastal ecosystem healthMedio MarinoTrophic cascadeComputingMilieux_MISCELLANEOUSNature and Landscape ConservationEcological stabilityEcologyCoastal populations and communities010604 marine biology & hydrobiologyCoastal habitats Meta-analysisMarine reserveCoastal habitatMarine resources conservation -- MacaronesiaMarine reserve15. Life on landCoastal populations and communitieGeography13. Climate actionMarine protected areaProtected areaCoastal habitats
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Identifying small pelagic Mediterranean fish schools from acoustic and environmental data using optimized artificial neural networks

2019

Abstract The Common Fisheries Policy of the European Union aims to exploit fish stocks at a level of Maximum Sustainable Yield by 2020 at the latest. At the Mediterranean level, the General Fisheries Commission for the Mediterranean (GFCM) has highlighted the importance of reversing the observed declining trend of fish stocks. In this complex context, it is important to obtain reliable biomass estimates to support scientifically sound advice for sustainable management of marine resources. This paper presents a machine learning methodology for the classification of pelagic species schools from acoustic and environmental data. In particular, the methodology was tuned for the recognition of an…

0106 biological sciencesMarine conservationMaximum sustainable yieldFish stockFish school010603 evolutionary biology01 natural sciencesAcoustic surveyEnvironmental dataAnchovymedia_common.cataloged_instanceEuropean unionEcology Evolution Behavior and Systematicsmedia_commonEcologybiologySettore INF/01 - Informaticabusiness.industry010604 marine biology & hydrobiologyApplied MathematicsEcological ModelingEnvironmental resource managementPelagic zonebiology.organism_classificationClassificationComputer Science ApplicationsGeographyComputational Theory and MathematicsFishing industryModeling and SimulationbusinessNeural networks
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Multi-zone marine protected areas: Assessment of ecosystem and fisheries benefits using multiple ecosystem models

2020

12 pages, 8 figures, 3 tables, 1 appendix supplementary data https://doi.org/10.1016/j.ocecoaman.2020.105232

0106 biological sciencesMarine conservationResource (biology)010504 meteorology & atmospheric sciencesManagement Monitoring Policy and LawAquatic ScienceOceanographyRecreational fisheries01 natural sciencesEcological indicatorsRecreational fishingMarine protected areasMarine ecosystemEcosystem14. Life underwaterBaseline (configuration management)0105 earth and related environmental sciencesSmall-scale fisheries010604 marine biology & hydrobiology15. Life on landEcopath modelFisheryEcological indicatorEcological indicators Ecopath model Marine protected areas Northwestern Mediterranean sea Recreational fisheries Small-scale fisheries13. Climate action[SDE]Environmental SciencesEnvironmental scienceMarine protected areaNorthwestern Mediterranean sea[SDE.BE]Environmental Sciences/Biodiversity and Ecology
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Moving Toward a Strategy for Addressing Climate Displacement of Marine Resources: A Proof-of-Concept

2020

Realistic predictions of climate change effects on natural resources are central to adaptation policies that try to reduce these impacts. However, most current forecasting approaches do not incorporate species-specific, process-based biological information, which limits their ability to inform actionable strategies. Mechanistic approaches, incorporating quantitative information on functional traits, can potentially predict species- and population-specific responses that result from the cumulative impacts of small-scale processes acting at the organismal level, and can be used to infer population-level dynamics and inform natural resources management. Here we present a proof-of-concept study…

0106 biological sciencesMarine conservationSettore BIO/07 - Ecologia010504 meteorology & atmospheric scienceslcsh:QH1-199.5Engraulis encrasicolusProcess (engineering)Computer scienceClimate changeOcean EngineeringAquatic Sciencelcsh:General. Including nature conservation geographical distributionclimate-informed management; Dynamic Energy Budget model; Engraulis encrasicolus; life-history traits; scenarios; temperature increaseOceanography01 natural sciencesEnvironmental dataDynamic Energy Budget model14. Life underwaterNatural resource managementlcsh:Scienceclimate-informed management0105 earth and related environmental sciencesWater Science and TechnologyGlobal and Planetary Changebusiness.industry010604 marine biology & hydrobiologyEnvironmental resource managementscenariosNatural resourcelife-history traitsAdaptive management13. Climate actionSettore BIO/03 - Botanica Ambientale E Applicatatemperature increaselcsh:QFisheries managementbusiness
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Physical forcing and physical/biochemical variability of the Mediterranean Sea: a review of unresolved issues and directions for future research

2014

Malanotte-Rizzoli, Paola ... et. al.-- 76 pages

0106 biological sciencesMediterranean climate010504 meteorology & atmospheric sciencesSettore GEO/12 - Oceanografia e Fisica dell'AtmosferaWind stressReviewPhysical oceanographyOceanography01 natural sciencesMediterranean seaphysical forcing; variability; Mediterranean; future researchMediterranean Sea14. Life underwaterlcsh:Environmental sciences0105 earth and related environmental sciences[SDU.OCEAN]Sciences of the Universe [physics]/Ocean Atmospherelcsh:GE1-350Forcing (recursion theory)business.industry010604 marine biology & hydrobiologyEnvironmental resource managementProperty distributionlcsh:Geography. Anthropology. RecreationObject (philosophy)OceanographyGeographylcsh:G13. Climate actionInternal variabilitybusinessOcean Science
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At the intersection of cultural and natural heritage: Distribution and conservation of the type localities of Italian endemic vascular plants

2017

Abstract We conducted a GIS spatial analysis with the aim of providing the first quantitative large-scale overview of the distribution patterns of 1536 type localities ( loci classici ) of 1216 Italian endemic vascular plants and their relationship with a set of descriptive variables. Whereas some variables were used to model the presence-absence distribution patterns of the type localities for the whole set of endemics as well as for the subset of narrow endemics, others (e.g., presence inside or outside protected areas and Italian Important Plant Areas) were considered with the purpose of assessing potential assets or risks for conservation. The largest number of type localities was found…

0106 biological sciencesMediterranean climateBehavior and Systematic010504 meteorology & atmospheric sciencesEvolutionDistribution (economics)Conservation010603 evolutionary biology01 natural sciencesEndemicType (biology)Conservation; Endemics; Italian flora; Loci classici; Spatial analysisNatural heritageItalian floraResource managementEndemismItalian flora; Conservation; Endemics; Spatial analysis; Loci classiciEcology Evolution Behavior and Systematics0105 earth and related environmental sciencesItalian flora Conservation Endemics Spatial analysis Loci classiciNature and Landscape ConservationEcologyEcologybusiness.industrySettore BIO/02 - Botanica SistematicaSpatial analysisEndemicsLoci classiciEcology Evolution Behavior and SystematicGeographyImportant Plant AreasSpatial analysiSettore BIO/03 - Botanica Ambientale E ApplicataMainlandbusiness
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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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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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A global baseline for ecosystem recovery

2016

0106 biological sciencesMultidisciplinary010504 meteorology & atmospheric sciencesLand usebusiness.industryEcologymedia_common.quotation_subjectEnvironmental resource managementBiodiversityTotal human ecosystem010603 evolutionary biology01 natural sciencesEcosystem servicesGeographyEcosystemWildernessBaseline (configuration management)businessReference standards0105 earth and related environmental sciencesmedia_commonNature
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