Search results for "CAP"

showing 10 items of 8832 documents

Global endemics-area relationships of vascular plants

2019

Endemics–Area Relationships (EARs)are fundamental in theoretical and applied biogeography for understanding distribution patterns and promoting biodiversity conservation. However, calculating EARs for vascular plant species from existing data is problematic because of biased knowledge of endemic species distributions and differences between taxonomies. We aimed to overcome these challenges by developing a new standardized global dataset based on expert knowledge to produce a set of global EARs. We developed a nested circle design, with grain sizes of 10 4 , 10 5 , 10 6 , 10 7 , and 10 8 km 2 , respectively, and a global distribution of plots based on a stratified random scheme. The number …

0106 biological sciencesVascular plantZero-endemic plotslcsh:QH1-199.5Range (biology)Biogeographylcsh:General. Including nature conservation geographical distributionManagement Monitoring Policy and Law010603 evolutionary biology01 natural sciencesMinimum and maximum estimatelcsh:QH540-549.5StatisticsEndemismZero-endemic plotNature and Landscape ConservationEstimationbiologyEcology010604 marine biology & hydrobiologySampling (statistics)Minimum and maximum estimatesbiology.organism_classificationGeographyGlobal referenceExpert knowledgelcsh:EcologySpecies richnessScale (map)Distribution of land and sea
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Formalized classification of European fen vegetation at the alliance level

2017

AimsPhytosociological classification of fen vegetation (Scheuchzerio palustris-Caricetea fuscae class) differs among European countries. Here we propose a unified vegetation classification of European fens at the alliance level, provide unequivocal assignment rules for individual vegetation plots, identify diagnostic species of fen alliances, and map their distribution.LocationEurope, western Siberia and SE Greenland.Methods29 049 vegetation-plot records of fens were selected from databases using a list of specialist fen species. Formal definitions of alliances were created using the presence, absence and abundance of Cocktail-based species groups and indicator species. DCA visualized the s…

0106 biological sciencesVegetation classificationBos- en LandschapsecologieWetlandManagement Monitoring Policy and Law010603 evolutionary biology01 natural sciencesSupervised vegetation classificationVegetation plotsForest and Landscape EcologyVegetatieNature and Landscape Conservationgeographygeography.geographical_feature_categoryVegetationBiogeography ; Ecological gradients ; Endangered habitats ; Mires ; Releves ; Supervised vegetation classification ; Unsupervised vegetation classification ; Vegetation plots ; WetlandsEcologyChemistryEcologyMiresRelevésSpecies diversityUnsupervised vegetation classificationVegetation15. Life on landPE&RCEndangered habitatsBorealBiogeographyIndicator speciesWetlandsEcological gradientsOrdinationVegetatie Bos- en LandschapsecologieSpecies richnessVegetation Forest and Landscape Ecology010606 plant biology & botany
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No evidence for differential sociosexual behavior and space use in the color morphs of the European common wall lizard (Podarcis muralis)

2020

Abstract Explaining the evolutionary origin and maintenance of color polymorphisms is a major challenge in evolutionary biology. Such polymorphisms are commonly thought to reflect the existence of alternative behavioral or life‐history strategies under negative frequency‐dependent selection. The European common wall lizard Podarcis muralis exhibits a striking ventral color polymorphism that has been intensely studied and is often assumed to reflect alternative reproductive strategies, similar to the iconic “rock–paper–scissors” system described in the North American lizard Uta stansburiana. However, available studies so far have ignored central aspects in the behavioral ecology of this spec…

0106 biological sciencesWall lizard[SDV]Life Sciences [q-bio]Populationcolor polymorphism010603 evolutionary biology01 natural sciencessocial behavior03 medical and health sciencesalternative strategiesBehavioral ecologybiology.animaleducationEcology Evolution Behavior and SystematicsQH540-549.5030304 developmental biologyNature and Landscape ConservationOriginal Research0303 health scienceseducation.field_of_studybiologyReproductive successEcologyLizardSpace usefree‐ranging populationbiology.organism_classificationmesocosmPodarcis muralisNatural population growthEvolutionary biology[SDE]Environmental SciencesPodarcis muralisEcology and Evolution
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Food stoichiometry affects the outcome of Daphnia–parasite interaction

2013

Phosphorus (P) is an essential nutrient for growth in consumers. P-limitation and parasite infection comprise one of the most common stressor pairs consumers confront in nature. We conducted a life-table study using a Daphnia–microsporidian parasite model, feeding uninfected or infected Daphnia with either P-sufficient or P-limited algae, and assessed the impact of the two stressors on life-history traits of the host. Both infection and P-limitation negatively affected some life-history traits tested. However, under P-limitation, infected animals had higher juvenile growth rate as compared with uninfected animals. All P-limited individuals died before maturation, regardless of infection. Th…

0106 biological sciencesZoology010603 evolutionary biology01 natural sciencesDaphniamicrosporidianEcological stoichiometryJuvenileParasite hostingIngestionEcology Evolution Behavior and SystematicsOriginal ResearchNature and Landscape Conservation2. Zero hungerchemistry.chemical_classificationEcologybiologyhost–parasite interactionEcologyHost (biology)010604 marine biology & hydrobiologyfungiP-deficiencybiology.organism_classificationSporemultiple stressorsEcological stoichiometrychemistryta1181Essential nutrientEcology and Evolution
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Comparative analyses of caste, sex, and developmental stage‐specific transcriptomes in two Temnothorax ants

2020

Abstract Social insects dominate arthropod communities worldwide due to cooperation and division of labor in their societies. This, however, makes them vulnerable to exploitation by social parasites, such as slave‐making ants. Slave‐making ant workers pillage brood from neighboring nests of related host ant species. After emergence, host workers take over all nonreproductive colony tasks, whereas slavemakers have lost the ability to care for themselves and their offspring. Here, we compared transcriptomes of different developmental stages (larvae, pupae, and adults), castes (queens and workers), and sexes of two related ant species, the slavemaker Temnothorax americanus and its host Temnoth…

0106 biological sciencesZoologydevelopmental stagesBiology010603 evolutionary biology01 natural sciences590 Tiere (Zoologie)transcriptomics03 medical and health sciencescasteddc:590lcsh:QH540-549.5Ecology Evolution Behavior and Systematics030304 developmental biologyNature and Landscape Conservation0303 health sciencesLarvaEcologyTemnothoraxHost (biology)fungiInterspecific competitionTemnothorax americanusbiology.organism_classificationBroodPupagene expressionslave‐making antsddc:590lcsh:Ecologycaste developmental stages gene expression slave-making ants transcriptomicsArthropodEcology and Evolution
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No evidence of an immune adjustment in response to a parasitoid threat in Lobesia botrana larvae.

2017

5 pages; International audience; Immune function is a key determinant of an organism's fitness, and natural insect populations are highly variable for this trait, mainly due to environmental heterogeneity and pathogen diversity. We previously reported a positive correlation between infection prevalence by parasitoids and host immunity in natural populations of the vineyard pest Lobesia botrana. Here, we tested whether this correlation reflects a plastic adjustment of host immunity in response to the local presence of parasites. To this end, we measured immunity of non-parasitized L. botrana larvae exposed, respectively, to one of the two most common species of parasitoids in vineyards, over…

0106 biological sciences[ SDV.MP.PAR ] Life Sciences [q-bio]/Microbiology and Parasitology/ParasitologyHemocytesPlasticityPhysiologymedia_common.quotation_subjectWaspsInsectMothsLobesia botrana010603 evolutionary biology01 natural sciences[SDV.IMM.II]Life Sciences [q-bio]/Immunology/Innate immunityParasitoidImmune systemCommon speciesImmunity[ SDV.EE.IEO ] Life Sciences [q-bio]/Ecology environment/SymbiosisAnimals[ SDV.IMM ] Life Sciences [q-bio]/Immunology[SDV.MP.PAR]Life Sciences [q-bio]/Microbiology and Parasitology/ParasitologyComputingMilieux_MISCELLANEOUSmedia_commonLarvaEnzyme PrecursorsbiologyGrapevine mothEcologyProphylaxis[SDV.BID.EVO]Life Sciences [q-bio]/Biodiversity/Populations and Evolution [q-bio.PE]fungiCampoplex capitatorbiology.organism_classification[SDV.BA.ZI]Life Sciences [q-bio]/Animal biology/Invertebrate Zoology010602 entomologyPhytomiptera nigrinaInsect ScienceLarvaInsect immunityInsect Proteins[SDV.IMM]Life Sciences [q-bio]/ImmunologyPEST analysisCatechol Oxidase[SDV.EE.IEO]Life Sciences [q-bio]/Ecology environment/Symbiosis
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Chemical host detection and differential attraction in a parasitic pea crab infecting two echinoids

2011

Mechanisms of host detection and host choice are important for mobile parasites or symbionts that frequently move among host individuals. The parasitic pea crab Dissodactylus primitivus is an ectoparasite exploiting asymmetrically two spatangoid echinoid hosts, Meoma ventricosa and Plagiobrissus grandis. The entire life cycle takes place on M. ventricosa, while only adults colonize P. grandis, the host where female's fecundity is the greatest. Dissodactylus primitivus frequently exhibits host-switching, a behaviour that raises the question of host detection. To test if adult crabs are able to detect potential hosts and are attracted to the host where their fitness is greater, crab olfactory…

0106 biological sciences[ SDV.MP.PAR ] Life Sciences [q-bio]/Microbiology and Parasitology/Parasitologyanimal structuresChemical detectionZoologyAquatic ScienceGeneralist and specialist species010603 evolutionary biology01 natural sciencesMeoma ventricosaPea crab[ SDV.EE.IEO ] Life Sciences [q-bio]/Ecology environment/Symbiosis[SDV.MP.PAR]Life Sciences [q-bio]/Microbiology and Parasitology/ParasitologyEcology Evolution Behavior and SystematicsDissodactylus primitivus[ SDE.BE ] Environmental Sciences/Biodiversity and EcologyPea crabbiologyDecapodaEcology010604 marine biology & hydrobiologyfood and beveragesImprintingbiology.organism_classificationFecundityAttractionCrustaceanParasiteHabitatHost-switchingEchinoidea [Sea urchins]Echinoid[SDE.BE]Environmental Sciences/Biodiversity and Ecology[SDV.EE.IEO]Life Sciences [q-bio]/Ecology environment/Symbiosis
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GenExP, un logiciel simulateur de paysages agricoles pour l'étude de la diffusion de transgènes

2007

 ; The software GENEXP allows to simulate 2-dimensional agricultural landscapes by using a traditional algorithmic geometry. Based on real or realistic field-patterns, GENEXP provides multiannual maps of agricultural landscapes, which are used by softwares simulating the dispersal of GM pollen grains and seeds at various scales.; GENEXP est un simulateur de paysages agricoles qui engendre des découpages parcellaires en utilisant une géométrie algorithmique classique. GENEXP fournit, sur la base de parcellaires réels ou réalistes, des cartes pluriannuelles de paysages agricoles utilisables par des logiciels qui simulent la dispersion des pollens et des graines d'OGM à différentes échelles.

0106 biological sciences[INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI]010603 evolutionary biology01 natural sciencesVORONOÏ TESSELATION[ SDV.EE ] Life Sciences [q-bio]/Ecology environmentAGRICULTURAL LANDSCAPE[INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]diagrammes de Voronoi[ INFO.INFO-AI ] Computer Science [cs]/Artificial Intelligence [cs.AI]DIAGRAMMES DE VORONOÏpaysage agricole[SDV.EE]Life Sciences [q-bio]/Ecology environmentFIELD PATTERN[INFO.INFO-DB]Computer Science [cs]/Databases [cs.DB]voronoi tesselationPROCESSUS PONCTUEL MARKOVIEN04 agricultural and veterinary sciencesGeneral Medicineflux de genes15. Life on landsimulationPARCELLAIRE[SDV.EE] Life Sciences [q-bio]/Ecology environmentagricultural landscape field-pattern germs distribution markov point process gene flowpaysage agricole parcellaire simulation diagrammes de Voronoi distribution de germes processus ponctuel markovien flux de genes voronoi tesselation INFORMATIQUEGERMS DISTRIBUTIONINFORMATIQUE040103 agronomy & agricultureMARKOV POINT PROCESS0401 agriculture forestry and fisheriesfield-patterngene flowDISTRIBUTION DE GERMES
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Key carabid species drive spring weed seed predation of Viola arvensis

2020

0106 biological sciences[SDV.BIO]Life Sciences [q-bio]/BiotechnologyViola arvensisAlternative Prey010603 evolutionary biology01 natural sciencesSpring (hydrology)Landscape ContextConservation Biological-controlNatural Enemy Biodiversitygeographygeography.geographical_feature_categorybiologyAgricultural ManagementBiocontrolbiology.organism_classification010602 entomology[SDV.MP]Life Sciences [q-bio]/Microbiology and ParasitologyAgronomyInsect ScienceSeed predationGround Beetles ColeopteraKey (lock)Generalist PredatorsWeedInterferenceAgronomy and Crop ScienceCereal Fields
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Comparative study of the efficiency of buffer zones and harvest discarding on gene flow containment in oilseed rape. A modelling approach

2009

International audience; Oilseed rape (OSR) genes can escape fields in space via pollen and seeds and in time via volunteers resulting from seeds lost before or during oilseed rape harvests. Previous simulation studies and field observations showed that co-existence at the landscape level of contrasting OSR varieties such as genetically modified (GM) and non-GM varieties require costly measures that are difficult to implement, such as isolation distances between OSR fields and stringent volunteer control in all fields and road margins. In the present study, two local strategies, non-GM buffer zones aroundGMfields and discarding the harvest of boundary plants of non-GM fields, were tested in …

0106 biological sciences[SDV.SA]Life Sciences [q-bio]/Agricultural sciencesBuffer zoneSoil ScienceHARVEST DISCARDINGPlant Sciencemedicine.disease_cause01 natural sciencesGene flowLandscape levelPollenmedicineGENE FLOWCropping systemBUFFER ZONECOLZAMathematics2. Zero hungerGMOCO-EXISTENCESimulation modeling04 agricultural and veterinary sciences15. Life on landPollen dispersalMODELAgronomy040103 agronomy & agriculture0401 agriculture forestry and fisheriesAgronomy and Crop ScienceCropping010606 plant biology & botany
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