Search results for "écologie"

showing 10 items of 207 documents

Variations morphologiques des Toxaster (Echinoida : Spatangoida) en regard des fluctuations spatiales (Arc de Castellane, SE France) et temporelles (…

2006

Resume L'impact du milieu sedimentaire sur l'installation, la croissance et la morphologie de spatangues primitifs du Cretace inferieur, est analyse chez le genre Toxaster dans le Valanginien et l'Hauterivien de l'Arc de Castellane au Nord de la plate-forme provencale. Les analyses concernent la dimension spatiale a partir de l'etude comparative de six populations isochrones de Toxaster granosus kiliani de la biozone a Verrucosum distribuees le long d'un gradient proximo-distal, puis la dimension temporelle a partir de l'etude d'une coupe de reference (Carajuan) couvrant l'intervalle stratigraphique Valanginien superieur–Hauterivien superieur et concernant principalement les especes T. gran…

010506 paleontologyMorphométrieMilieux sédimentairesSE FranceSpatanguesPaleontologyPaléoécologie010502 geochemistry & geophysics01 natural sciencesSpace and Planetary ScienceValanginien–Hauterivien[SDU.STU.PG]Sciences of the Universe [physics]/Earth Sciences/Paleontology0105 earth and related environmental sciences[ SDU.STU.PG ] Sciences of the Universe [physics]/Earth Sciences/Paleontology
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Temperature and pH define the realised niche space of arbuscular mycorrhizal fungi

2021

Made available in DSpace on 2021-06-25T11:52:41Z (GMT). No. of bitstreams: 0 Previous issue date: 2021-03-04 European Regional Development Fund (Centre of Excellence EcolChange) University of Tartu (Estonian Research Council ) Moscow State University Natural Sciences and Engineering Research Council of Canada Discovery Grant Russian Science Foundation Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP) Swedish Research Council (Vetenskapsradet) The arbuscular mycorrhizal (AM) fungi are a globally distributed group of soil organisms that play critical roles in ecosystem function. However, the ecological niches of individual AM fungal taxa are poorly understood. We collected > 300 s…

0106 biological sciences0301 basic medicinearbuscular mycorrhizal fungi ecological niche molecular taxa niche optimum niche width pH phylogenetic correlation temperature Ecosystem Fungi Hydrogen-Ion Concentration Phylogeny Soil Soil Microbiology Temperature MycorrhizaePhylogéniePhysiologyPlant Science01 natural sciencesSoilhttp://aims.fao.org/aos/agrovoc/c_5963http://aims.fao.org/aos/agrovoc/c_33550MycorrhizaePhylogenySoil MicrobiologyAbiotic componentbiologyEcologypHTemperatureHydrogen-Ion ConcentrationPhytoécologieniche widthTempérature du solpH de la rhizosphèreF40 - Écologie végétaleAcaulosporaceaeNichearbuscular mycorrhizal fungi03 medical and health scienceshttp://aims.fao.org/aos/agrovoc/c_1415699873241Glomeraceaeecological nichehttp://aims.fao.org/aos/agrovoc/c_13325Relative species abundanceChampignon du solArbuscular mycorrhiza [EN]EcosystemEcological nichehttp://aims.fao.org/aos/agrovoc/c_5b384c25phylogenetic correlationFungiP34 - Biologie du solmolecular taxatemperatureAquatic Ecologyfacteurs abiotiques15. Life on landbiology.organism_classificationniche optimum030104 developmental biology13. Climate actionBiological dispersalhttp://aims.fao.org/aos/agrovoc/c_7197http://aims.fao.org/aos/agrovoc/c_36313010606 plant biology & botanyGigasporaceae
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Data synergy between leaf area index and clumping index Earth Observation products using photon recollision probability theory

2018

International audience; Clumping index (CI) is a measure of foliage aggregation relative to a random distribution of leaves in space. The CI can help with estimating fractions of sunlit and shaded leaves for a given leaf area index (LAI) value. Both the CI and LAI can be obtained from global Earth Observation data from sensors such as the Moderate Resolution Imaging Spectrometer (MODIS). Here, the synergy between a MODIS-based CI and a MODIS LAI product is examined using the theory of spectral invariants, also referred to as photon recollision probability ('p-theory'), along with raw LAI-2000/2200 Plant Canopy Analyzer data from 75 sites distributed across a range of plant functional types.…

0106 biological sciencesCanopyEarth observationPhoton010504 meteorology & atmospheric sciencesF40 - Écologie végétalehttp://aims.fao.org/aos/agrovoc/c_1920Soil Science01 natural sciencesMeasure (mathematics)http://aims.fao.org/aos/agrovoc/c_7701Multi-angle remote sensingProbability theoryhttp://aims.fao.org/aos/agrovoc/c_718Foliage clumping indexRange (statistics)http://aims.fao.org/aos/agrovoc/c_3081[SDV.BV]Life Sciences [q-bio]/Vegetal BiologyComputers in Earth SciencesLeaf area indexhttp://aims.fao.org/aos/agrovoc/c_4039http://aims.fao.org/aos/agrovoc/c_4116Photon recollision probabilityhttp://aims.fao.org/aos/agrovoc/c_10672http://aims.fao.org/aos/agrovoc/c_32450105 earth and related environmental sciencesMathematicsRemote sensinghttp://aims.fao.org/aos/agrovoc/c_8114GeologyVegetationhttp://aims.fao.org/aos/agrovoc/c_5234http://aims.fao.org/aos/agrovoc/c_7558Leaf area indexhttp://aims.fao.org/aos/agrovoc/c_7273http://aims.fao.org/aos/agrovoc/c_1236http://aims.fao.org/aos/agrovoc/c_1556U30 - Méthodes de recherchehttp://aims.fao.org/aos/agrovoc/c_4026010606 plant biology & botanyhttp://aims.fao.org/aos/agrovoc/c_6124
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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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New polymorphic microsatellite loci in the house sparrow, Passer domesticus.

2009

3 pages; International audience; We developed 13 new polymorphic microsatellite loci in the house sparrow (Passer domesticus), which exhibited from 2 to 15 alleles. Observed and expected heterozygosities ranged from 0.17 to 0.77 and from 0.35 to 0.85, respectively. We detected no linkage disequilibrium between loci. Allele frequencies supported Hardy–Weinberg equilibrium for 8 loci out of 13 after Bonferroni correction. Combined with loci previously isolated in the house sparrow, these new microsatellite markers provide valuable tools to study population genetics of this species.

0106 biological sciencesPasserLinkage disequilibriummicrosatellite010603 evolutionary biology01 natural sciences03 medical and health sciencesbiology.animalhttp://aims.fao.org/aos/agrovoc/c_3081GeneticsAlleleAllele frequencypasserineMoineauEcology Evolution Behavior and Systematics030304 developmental biologyGenetics0303 health sciencesSparrowbiologyhouse sparrowpasserine.[ SDV.GEN.GA ] Life Sciences [q-bio]/Genetics/Animal geneticsL10 - Génétique et amélioration des animauxbiology.organism_classificationPasserine[SDV.GEN.GA]Life Sciences [q-bio]/Genetics/Animal geneticsEvolutionary biologyMicrosatellitePopulation studyL20 - Écologie animalehttp://aims.fao.org/aos/agrovoc/c_7275Passerhttp://aims.fao.org/aos/agrovoc/c_1153Biotechnology
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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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Permanent genetic resources added to molecular ecology resources database 1 April 2010 - 31 May 2010

2010

Correspondance: Molecular Ecology Resources Primer Development Consortium, E-mail: editorial.office@molecol.com; International audience; This article documents the addition of 396 microsatellite marker loci to the Molecular Ecology Resources Database. Loci were developed for the following species: Anthocidaris crassispina, Aphis glycines, Argyrosomus regius, Astrocaryum sciophilum, Dasypus novemcinctus, Delomys sublineatus, Dermatemys mawii, Fundulus heteroclitus,Homalaspis plana, Jumellea rossii, Khaya senegalensis, Mugil cephalus, Neoceratitis cyanescens, Phalacrocorax aristotelis, Phytophthora infestans, Piper cordulatum, Pterocarpus indicus, Rana dalmatina, Rosa pulverulenta, Saxifraga …

0106 biological sciencesPiper marginatumPHYLOGENYSemecarpusMOLECULAR MARKERSECOLOGYcomputer.software_genre010603 evolutionary biology01 natural sciences03 medical and health sciencesLaboratorium voor PlantenveredelingRana ibericaREFERENCEMENTSPECIESPOPULATION GENETICSGENBANKBotanyGeneticsLife ScienceMICROSATELLITE MARKERmicrosatellite marker databasePiper cordulatumEcology Evolution Behavior and Systematics030304 developmental biology[SDV.EE]Life Sciences [q-bio]/Ecology environment0303 health sciencesbiologyDatabaseEPS-2Bioint Moleculair PhytopathologyTAXONOMY15. Life on landL10 - Génétique et amélioration des animauxbiology.organism_classificationJumelleaLaboratorium voor PhytopathologieFundulusPlant BreedingINSECTEMOLECULAR ECOLOGY RESOURCE DATABASECATALOGUELaboratory of PhytopathologyFundulus olivaceusJumellea rectaL20 - Écologie animaleGENETIQUE DES POPULATIONScomputerECOLOGIEBiotechnology
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Regional-scale analysis of arbuscular mycorrhizal fungi: the case of Burgundy vineyards

2016

SPE IPM INRA UB; Aim : To improve knowledge of arbuscular fungal communities for a sustainable management in vineyards. Methods and results : In 16 plots across Burgundy under contrasted soil properties and agricultural practices, we assessed arbuscular mycorrhizal fungal (AMF) diversity in vine roots, using pyrosequencing of ribosomal Internal Transcribed Spacers (ITS). AMF sequences could be retrieved from all plots across Burgundy, both in organic and in conventional vineyards with high chemical inputs. Sequences from the survey were almost exclusively affiliated to molecular taxa in the Glomerales, including six “core species” found in all plots, corresponding to 77% of all sequences, s…

0106 biological sciencesagroecologyVine[SDV]Life Sciences [q-bio]agroécologieHorticultureBiology01 natural scienceslcsh:Agriculturelcsh:BotanyBotanyBourgogne[SDV.BV]Life Sciences [q-bio]/Vegetal Biologymycorhizes à arbusculesAgroecologyespaceurs internes transcrits (ITS)business.industryarbuscular mycorrhizafungilcsh:SSpecies diversityhigh-throughput sequencinginternal transcribed spacers (ITS)04 agricultural and veterinary sciencesbiology.organism_classificationlcsh:QK1-989Arbuscular mycorrhizaséquençage haut débitTaxonAgriculture[SDE]Environmental Sciences040103 agronomy & agriculture0401 agriculture forestry and fisheriesPyrosequencingGlomeralesbusinessBurgundy010606 plant biology & botanyFood ScienceOENO One
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Vegetation structure and greenness in Central Africa from Modis multi-temporal data.

2013

African forests within the Congo Basin are generally mapped at regional scale as broad-leaved evergreen forests, with a main distinction between terra-firme and swamp forests types. At the same time, commercial forest inventories, as well as national maps, have highlighted a strong spatial heterogeneity of forest types. A detailed vegetation map generated using consistent methods is needed to inform decision makers about spatial forest organisation and theirs relationships with environmental drivers in the context of global change. We propose a multi-temporal remotely sensed data approach to characterize vegetation types using vegetation index annual profiles. The classifications identified…

0106 biological scienceshttp://aims.fao.org/aos/agrovoc/c_28568Time Factors010504 meteorology & atmospheric sciencesDatabases FactualRainEcological Parameter Monitoringhttp://aims.fao.org/aos/agrovoc/c_900018001 natural sciencesTrees[ SDE ] Environmental Sciencesremote sensinghttp://aims.fao.org/aos/agrovoc/c_3062K01 - Foresterie - Considérations généralesDynamique des populationsForêt tropicale humidehttp://aims.fao.org/aos/agrovoc/c_6498http://aims.fao.org/aos/agrovoc/c_29008geography.geographical_feature_categoryCentral AfricaEcologyInventaire forestierVegetationArticlesClassificationSpatial heterogeneity[ SDE.MCG ] Environmental Sciences/Global ChangesDeciduoushttp://aims.fao.org/aos/agrovoc/c_7976CongoP31 - Levés et cartographie des solsForêt[SDE]Environmental SciencesSeasonshttp://aims.fao.org/aos/agrovoc/c_1432General Agricultural and Biological Scienceshttp://aims.fao.org/aos/agrovoc/c_34911Research ArticleF40 - Écologie végétaleTélédétectionClimate Change[SDE.MCG]Environmental Sciences/Global ChangesSpectroscopie infrarougeContext (language use)69Typologie010603 evolutionary biologySwampGeneral Biochemistry Genetics and Molecular BiologyCarbon Cycle[ SDU.ENVI ] Sciences of the Universe [physics]/Continental interfaces environmentHumansAfrica Centralhttp://aims.fao.org/aos/agrovoc/c_1666http://aims.fao.org/aos/agrovoc/c_1344http://aims.fao.org/aos/agrovoc/c_8176[SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces environmenthttp://aims.fao.org/aos/agrovoc/c_6111Ecosystem0105 earth and related environmental sciencesChangement climatiquegeographyCartographiehttp://aims.fao.org/aos/agrovoc/c_24174Enhanced vegetation index15. Life on landEvergreenVégétationStructure du peuplement13. Climate actionCouvert forestierPhysical geographyU30 - Méthodes de recherchehttp://aims.fao.org/aos/agrovoc/c_1653tropical rainforestTropical rainforest
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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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