Search results for "Ressource"

showing 10 items of 148 documents

Assessing sampling coverage of species distribution in biodiversity databases

2019

Abstract Aim Biodiversity databases are valuable resources for understanding plant species distributions and dynamics, but they may insufficiently represent the actual geographic distribution and climatic niches of species. Here we propose and test a method to assess sampling coverage of species distribution in biodiversity databases in geographic and climatic space. Location Europe. Methods Using a test selection of 808,794 vegetation plots from the European Vegetation Archive (EVA), we assessed the sampling coverage of 564 European vascular plant species across both their geographic ranges and realized climatic niches. Range maps from the Chorological Database Halle (CDH) were used as bac…

0106 biological sciencesChorological Database Halle (CDH)Range (biology)multi-scale[SDE.MCG]Environmental Sciences/Global Changesvegetation-plot databasesSpecies distributionPlant Science[SDV.BID]Life Sciences [q-bio]/Biodiversitycomputer.software_genre010603 evolutionary biology01 natural sciencesmacro-ecology333: Bodenwirtschaft und Ressourcen577: ÖkologieRealized niche widthMacroecologyEcological niche[SDV.EE]Life Sciences [q-bio]/Ecology environmentspatial scaleEcologyDatabaseNull modelvegetation plot databasesclimatic nichevascular plantSampling (statistics)species rangeVegetation15. Life on landDynamic Match Coefficient (DMC)sampling biasGeographyrealized niche1181 Ecology evolutionary biologymacroecology[SDE.BE]Environmental Sciences/Biodiversity and Ecologycomputer010606 plant biology & botanyEuropean Vegetation Archive (EVA)
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MAB2.0 project: Integrating algae production into wastewater treatment

2018

Abstract Different species of microalgae are highly efficient in removing nutrients from wastewater streams and are able to grow using flue gas as a CO2 source. These features indicate that application of microalgae has a promising outlook in wastewater treatment. However, practical aspects and process of integration of algae cultivation into an existing wastewater treatment line have not been investigated. The Climate-KIC co-funded Microalgae Biorefinery 2.0 project developed and demonstrated this integration process through a case study. The purpose of this paper is to introduce this process by phases and protocols, as well as report on the challenges and bottlenecks identified in the cas…

0106 biological sciencesFlue gasBio Process EngineeringProcess (engineering)[SDV]Life Sciences [q-bio]Biomedical Engineeringwastewater treatment;microalgae;bioresource010501 environmental sciencesRaw material01 natural sciencesBiotecnologiaLead (geology)bioresourceAlgues010608 biotechnologyGeneticsProduction (economics)Life ScienceMolecular Biologyeaux usées0105 earth and related environmental sciencesmicroalgaeBiorefinery6. Clean watertraitement biologiquewastewater treatmentWastewater13. Climate action[SDE]Environmental SciencesMolecular MedicineSewage treatmentBBP Biorefinery & Sustainable Value ChainsBiochemical engineeringbioressourceAigües residuals Depuració Tractament biològicculture d'algueTP248.13-248.65Food ScienceBiotechnology
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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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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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Thirty years unmanaged green roofs: Ecological research and design implications

2016

Abstract The variations in species composition and assemblage of unmanaged simple-intensive green roofs in Hannover, Germany, were investigated over a thirty year period, in order to assess the persistence of the initial seed mixture and to evaluate floristic changes. The roofs were greened in 1985 with soil-based turf rolls sown with a mixture of five grasses (Festuca rubra, Festuca ovina, Agrostis capillaris, Lolium perenne and Poa pratensis). Three sets of 120 phytosociological releves, sampled in 1987, 1999 and 2014, have been compared to assess: (1) nestedness vs spatial turnover, (2) functional diversity and (3) the importance of vegetation dynamics on green roof performance and desig…

0106 biological sciencesSeed dispersalGreen roofSettore AGR/13 - Chimica AgrariaSimple-intensive green roofs Temperate ecosystems Long term dynamics Plant functional traits Urban biodiversity Descriptors010501 environmental sciencesManagement Monitoring Policy and LawBiology010603 evolutionary biology01 natural sciences333: Bodenwirtschaft und RessourcenSimple-intensive green roofs Temperate ecosystems Long term dynamics Functional traits Urban biodiversity DescriptorsRuderal species577: Ökologie0105 earth and related environmental sciencesNature and Landscape ConservationEcologyEcologySpecies diversityPlant community15. Life on landbiology.organism_classificationUrban StudiesSettore BIO/03 - Botanica Ambientale E ApplicataNestednessFestuca ovinaFestuca rubra
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Fishery-dependent and -independent data lead to consistent estimations of essential habitats

2016

AbstractSpecies mapping is an essential tool for conservation programmes as it provides clear pictures of the distribution of marine resources. However, in fishery ecology, the amount of objective scientific information is limited and data may not always be directly comparable. Information about the distribution of marine species can be derived from two main sources: fishery-independent data (scientific surveys at sea) and fishery-dependent data (collection and sampling by observers in commercial vessels). The aim of this paper is to compare whether these two different sources produce similar, complementary, or different results. We compare them in the specific context of identifying the Es…

0106 biological scienceshttp://aims.fao.org/aos/agrovoc/c_28840Biodiversité et Ecologiehabitatmodélisation spatialehttp://aims.fao.org/aos/agrovoc/c_38371OceanographyGaleus melastomus01 natural sciencesRessource halieutiquehttp://aims.fao.org/aos/agrovoc/c_38127Scyliorhinus caniculamodèle hiérarchiqueSpatial statisticsEcologymodèle de distributionSampling (statistics)Contrast (statistics)Cross-validationModélisation et simulationGeographyHabitatGestion des pêchesModeling and Simulationhttp://aims.fao.org/aos/agrovoc/c_10566http://aims.fao.org/aos/agrovoc/c_3456http://aims.fao.org/aos/agrovoc/c_38117survey designMarine conservationSpecies Distribution ModelsEcology (disciplines)Bayesian probabilityEtmopterus spinaxenquête statistiqueDonnée sur les pêchesmodèle spatiotemporelSede Central IEOContext (language use)Aquatic ScienceDistribution des populationsBayesian hierarchical models010603 evolutionary biologyhttp://aims.fao.org/aos/agrovoc/c_24026elasmobranchsBiodiversity and Ecologyélasmobrancheétude comparativeBayesian hierarchical models;Cross-validation;Species Distribution Models;Spatial statistics;INLA;elasmobranchs ; survey designINLA14. Life underwaterspecies distribution modelsEcology Evolution Behavior and Systematicshttp://aims.fao.org/aos/agrovoc/c_6113collecte des donnéesÉcologie marinehttp://aims.fao.org/aos/agrovoc/c_29788http://aims.fao.org/aos/agrovoc/c_4609010604 marine biology & hydrobiologyGestion et conservation des pêchescross validation[INFO.INFO-MO]Computer Science [cs]/Modeling and Simulationmodèle bayésienFisheryM01 - Pêche et aquaculture - Considérations généraleshttp://aims.fao.org/aos/agrovoc/c_2a75d27eThéorie bayésienneM40 - Écologie aquatiqueSpatial ecologyhttp://aims.fao.org/aos/agrovoc/c_2942[SDE.BE]Environmental Sciences/Biodiversity and Ecologyvalidation croiséeElasmobranchii
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What resources for education?

1982

Traduction de l'article en anglais de Jean-Claude Eicher, Quelles ressources pour l'éducation?, publié dans Perspectives en 1982; International audience

03 medical and health sciences0302 clinical medicineRessource de l'éducation4. Education[SHS.EDU]Humanities and Social Sciences/Education[SHS.EDU] Humanities and Social Sciences/Education05 social sciences050301 education030229 sport sciences0503 educationEducation
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Les managers de proximité face aux compétences : une approche située

2013

Line managers and qualifications: a situated approachQualifications have seldom been analyzed as closely as possible to the operational level, a possibility of special interest to line managers and a genuine issue for research and management. Supervisors are continually in the position of making judgments about the qualifications of the persons and work teams whose activities they organize to reach the objectives set. Starting from observations conducted in several situations at the workplace, the concept of a “qualification oriented toward the situation” is drawn up around three dimensions : situation, qualification and performance. Its usefulness is empirically illustrated in the case of …

05 social sciences050301 educationgestion de ressources humainesGeneral Medicine[SHS]Humanities and Social Sciences0502 economics and business8. Economic growth[SHS.GESTION]Humanities and Social Sciences/Business administrationgestion[SHS] Humanities and Social Sciences[SHS.GESTION] Humanities and Social Sciences/Business administration[ SHS.GESTION ] Humanities and Social Sciences/Business administrationcompétence0503 educationperformancecadre050203 business & managementAnnales des Mines - Gérer et comprendre
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A plant sociological approach for extensive green roofs in Mediterranean areas

2013

Extensive Green roofs can be an important mean for environmental mitigation if designed according to the principles of restoration ecology. Moreover, if optimally executed, properly managed and of sufficient extension, they could be assimilated to meta-populations of natural habitats, worth to be included in the biodiversity monitoring networks. The best example supporting this hypothesis is the Lake water plant Moos in Wollishofen (Zurich, Switzerland) where, on three 100 years old units of extensive green roofs, occur most of the typical flora of Mesobromion, including high density of some endangered orchid species. With this work, we propose a methodology approach for green roofs in Medi…

333: Bodenwirtschaft und RessourcenExtensive green roofs plant sociology habitat replication biodiversity assessment Natura 2000 hay transfer.Plant sociologySettore BIO/03 - Botanica Ambientale E ApplicataHabitat replicationHay transferSettore AGR/04 - Orticoltura E Floricoltura577: ÖkologieBiodiversity assessment
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Digital resources in senegalese hight education : state of play and prospective study

2014

It is in the context of poverty or information exclusion that the massive dissemination of information and technology tools in Senegalese academic libraries responds to an urgent need for transformation and improvement of operational modes as well as modernization of services for different audiences, in particular students. Currently, in almost all academic and research libraries of Senegal digitization activities that crossed the rise of the Internet are being developed. This has created a real increasing effect of digital resources, by the establishment of means of creation and by expansion of access and of sharing of scientific and technical information in higher education institutions. …

Academic libraryDigital resourcesSénégalRessources numériques[SHS.INFO]Humanities and Social Sciences/Library and information sciencesHigher educationBibliothèque universitaireUseSenegal[SHS.INFO] Humanities and Social Sciences/Library and information sciencesUsagesEnseignement supérieur
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