Search results for " CLA"

showing 10 items of 4605 documents

Spatio-temporal variations in the application of the Braun-Blanquet approach in Europe

2018

An historical overview on the affirmation of the phytosociological method in Europe is presented. Some methodological and procedural differences in the application of the Braun-Blanquet approach, from the selection of the sampling plots to the assignment of relevés to existing or newly described units, are briefly commented. The main advantages and limitations of the phytosociological vegetation classification are reviewed and discussed, also in the light of their applications for vegetation mapping and monitoring.

0106 biological sciencesBraun blanquetGeographyPhytosociologyVegetation classificationEurope; phytosociology; vegetation classification; vegetation mapping; vegetation sampling; vegetation surveysPlant ScienceEurope phytosociology vegetation surveys vegetation mapping vegetation sampling vegetation classification010603 evolutionary biology01 natural sciencesCartography010606 plant biology & botanyVegetation samplingPhytocoenologia
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Permanent Genetic Resources added to Molecular Ecology Resources Database 1 October 2009–30 November 2009.

2010

5 pages; International audience; This article documents the addition of 411 microsatellite marker loci and 15 pairs of Single Nucleotide Polymorphism (SNP) sequencing primers to the Molecular Ecology Resources Database. Loci were developed for the following species: Acanthopagrus schlegeli, Anopheles lesteri, Aspergillus clavatus, Aspergillus flavus, Aspergillus fumigatus, Aspergillus oryzae, Aspergillus terreus, Branchiostoma japonicum, Branchiostoma belcheri, Colias behrii, Coryphopterus personatus, Cynogolssus semilaevis, Cynoglossus semilaevis, Dendrobium officinale, Dendrobium officinale, Dysoxylum malabaricum, Metrioptera roeselii, Myrmeciza exsul, Ochotona thibetana, Neosartorya fisc…

0106 biological sciencesColias interiorcomputer.software_genre010603 evolutionary biology01 natural sciences03 medical and health sciencesfoodBotanyGeneticsEcology Evolution Behavior and Systematics030304 developmental biology0303 health sciences[SDV.GEN]Life Sciences [q-bio]/GeneticsbiologyDatabaseSalvia officinalisbiology.organism_classificationfood.foodDendrobium devonianumDendrobium loddigesiiNothofagus obliquaSula nebouxiiColias eurytheme[ SDV.GEN ] Life Sciences [q-bio]/GeneticsAspergillus clavatuscomputerBiotechnology
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Benchmark database for fine-grained image classification of benthic macroinvertebrates

2018

Managing the water quality of freshwaters is a crucial task worldwide. One of the most used methods to biomonitor water quality is to sample benthic macroinvertebrate communities, in particular to examine the presence and proportion of certain species. This paper presents a benchmark database for automatic visual classification methods to evaluate their ability for distinguishing visually similar categories of aquatic macroinvertebrate taxa. We make publicly available a new database, containing 64 types of freshwater macroinvertebrates, ranging in number of images per category from 7 to 577. The database is divided into three datasets, varying in number of categories (64, 29, and 9 categori…

0106 biological sciencesComputer scienceta1172Sample (statistics)monitorointi02 engineering and technologyneuroverkot01 natural sciencesConvolutional neural network0202 electrical engineering electronic engineering information engineeringkonenäköfine-grained classification14. Life underwaterFine-grained classificationInvertebrateta113ta112Contextual image classificationbusiness.industry010604 marine biology & hydrobiologyDeep learningConvolutional Neural NetworksBenchmark databasedeep learningPattern recognitionDeep learningselkärangattomatvedenlaatu6. Clean waterkoneoppiminenBenthic zoneBenthic macroinvertebratesbiomonitoringSignal ProcessingBiomonitoringta1181lajinmääritys020201 artificial intelligence & image processingComputer Vision and Pattern RecognitionArtificial intelligenceWater qualitybusinessbenthic macroinvertebrates
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Coping styles in farmed fish: consequences for aquaculture

2017

Individual differences in physiological and behavioural responses to stressors are increasingly recognised as adaptive variation and thus raw material for evolution and fish farming improvements including selective breeding. Such individual variation has been evolutionarily conserved and is present in all vertebrate taxa including fish. In farmed animals, the interest in consistent trait associations, that is coping styles, has increased dramatically over the last years because many studies have demonstrated links to performance traits, health and disease susceptibility and welfare. This study will review (i) the main behavioural, neuroendocrine, cognitive and emotional differences between …

0106 biological sciencesFish farmingmedia_common.quotation_subjectThe-Year PerchRainbow-TroutManagement Monitoring Policy and LawAquatic Science010603 evolutionary biology01 natural sciencesCatfish Clarias-GariepinusDevelopmental psychologyAquaculturePersonality0501 psychology and cognitive sciences050102 behavioral science & comparative psychology14. Life underwatermedia_commonSalmon Salmo-SalarEuropean Sea-BassEcologybusiness.industryEcologyindividual variationSole Solea-Senegalensis05 social sciencesStressorSocial environmentStress-ResponsivenessCognitionstress responseSeabream Sparus-AurataTrout Oncorhynchus-MykissPeer reviewpersonalitybehavioural syndromesTraitbusinessfarm animalsAfrican Catfish
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Spatial variability of soil roughness in persimmon plantations: A new combined ISUM (improved stock unearthing method) approach

2019

Made available in DSpace on 2019-10-06T16:49:52Z (GMT). No. of bitstreams: 0 Previous issue date: 2019-11-01 Universidade Estadual Paulista Soil roughness (SR) is an ecological indicator that describes the distribution of soil surface accumulations and ponds in a terrain, which allows understanding the connectivity of the flows as they act as sinks and sources of water and sediments. There is a set of methods that allows investigating the SR, and we test the use of the improved stock unearthing method (ISUM) as an easy-to-apply and low-cost approach. The ISUM has been initially tested in vineyards using the graft union and measures in the inter-row areas to assess the current soil surface l…

0106 biological sciencesHydrologyMicrotopographic analysisEcologySoil testGeneral Decision SciencesSedimentSoil classificationTerrainAgricultural management systems010501 environmental sciences010603 evolutionary biology01 natural sciencesEcological indicatorSoil waterSoil surface analysisEnvironmental scienceSoil consolidationSpatial variabilityTransectEcology Evolution Behavior and Systematics0105 earth and related environmental sciences
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Switching from conventional tillage to no-tillage: Soil N availability, N uptake,15N fertilizer recovery, and grain yield of durum wheat

2018

Abstract This 2-year study, performed in a typical Mediterranean environment on three soil types (two Inceptisols and one Vertisol), aimed to improve understanding of the factors that play a major role in determining crop response when soil management shifts from conventional tillage (CT) to no-tillage (NT). The effects of NT on the soil nitrogen (N) availability, N uptake, 15N fertilizer recovery, and grain yield of durum wheat were evaluated in comparison to CT under five different N fertilization rates (0, 40, 80, 120, and 160 kg N ha−1). Compared to CT, NT negatively affected grain yield in one of the two years but only in the two Inceptisols. On average, a considerable grain yield adva…

0106 biological sciencesInceptisolNo-tillage15N-fertilizer recoverySoil ScienceVertisolengineering.materialBiology01 natural sciencesSoil managementSoil N availabilityConventional tillageConventional tillageSoil classification04 agricultural and veterinary sciencesN fertilizationSettore AGR/02 - Agronomia E Coltivazioni ErbaceeTillageAgronomy040103 agronomy & agricultureengineering0401 agriculture forestry and fisheriesFertilizerSoil fertilityAgronomy and Crop Science010606 plant biology & botany
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Biological control of invasive stink bugs: review of global state and future prospects

2020

International audience; Invasive stink bugs (Hemiptera: Pentatomidae) are responsible for high economic losses to agricul-ture on a global scale. The most important species, dating from recent to old invasions, includeBagrada hilaris (Burmeister), Halyomorpha halys (Stal), Piezodorus guildinii (Westwood), Nezara vir-idula (L.), and Murgantia histrionica (Hahn). Bagrada hilaris, H. halys,andN. viridula are nowalmost globally distributed. Biological control of these pests faces a complex set of challenges thatmust be addressed to maintain pest populations below the economic injury level. Several case studiesof classical and conservation biological control of invasive stink bugs are reported …

0106 biological sciencesIntegrated pest managementBiological pest controlTachinidaepre-emptive classical biological controllandscape management010603 evolutionary biology01 natural sciencesinvasive speciesHemipteraEncyrtidaeTachinidaeinvasive speciePentatomidaebiocontrolbiocontrol chemical ecology Hemiptera invasive species landscape management pre‐emptive classical biological control semiochemicals parasitoid Pentatomidae risk assessment Tachinidae ScelionidaeparasitoidEcology Evolution Behavior and SystematicsBagrada hilarisbiologysemiochemicalsbusiness.industryEcologyPest controlchemical ecologypreemptive classical biological controlrisk assessmentsemiochemicalPentatomidaebiocontrol chemical ecology Hemiptera invasive species landscape management preemptive classical biological control semiochemicals parasitoid Pentatomidae risk assessment Tachinidae Scelionidaebiology.organism_classificationHemiptera010602 entomologySettore AGR/11 - Entomologia Generale E Applicata13. Climate actionInsect Science[SDE.BE]Environmental Sciences/Biodiversity and EcologybusinessScelionidae[SDV.EE.IEO]Life Sciences [q-bio]/Ecology environment/Symbiosis
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Unsupervised Classification of Acoustic Echoes from Two Krill Species in the Southern Ocean (Ross Sea)

2021

This work presents a computational methodology able to automatically classify the echoes of two krill species recorded in the Ross sea employing scientific echo-sounder at three different frequencies (38, 120 and 200 kHz). The goal of classifying the gregarious species represents a time-consuming task and is accomplished by using differences and/or thresholds estimated on the energy features of the insonified targets. Conversely, our methodology takes into account energy, morphological and depth features of echo data, acquired at different frequencies. Internal validation indices of clustering were used to verify the ability of the clustering in recognizing the correct number of species. Th…

0106 biological sciencesKrillbiologybusiness.industry010604 marine biology & hydrobiologyEuphausiaSettore MAT/01 - Logica MatematicaEuphausia crystallorophiasbiology.organism_classificationSpatial distributionMachine learning for pelagic species classification01 natural sciencesKrill identification010104 statistics & probabilityRoss SeaAcoustic dataArtificial intelligence0101 mathematicsCluster analysisbusinessRelative species abundanceGeologyEnergy (signal processing)Global biodiversityRemote sensing
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Diversifying selection on MHC class I in the house sparrow (Passer domesticus).

2009

10 pages; International audience; Genes of the major histocompatibility complex (MHC) are the most polymorphic loci known in vertebrates. Two main hypotheses have been put forward to explain the maintenance of MHC diversity: pathogen-mediated selection and MHC-based mate choice. Host-parasite interactions can maintain MHC diversity via frequency-dependent selection, heterozygote advantage, and diversifying selection (spatially and/or temporally heterogeneous selection). In this study, we wished to investigate the nature of selection acting on the MHC class I across spatially structured populations of house sparrows (Passer domesticus) in France. To infer the nature of the selection, we comp…

0106 biological sciencesMESH : Gene FlowMESH: Selection (Genetics)MESH: GeographyGenes MHC Class IMESH: Genetic MarkersBalancing selectionMESH : Microsatellite Repeats[ SDV.IMM.IA ] Life Sciences [q-bio]/Immunology/Adaptive immunology01 natural sciencesmicrosatellitesMESH: SparrowsMESH : Genetic MarkersMESH: AnimalsMESH: Genetic VariationMESH: Evolution MolecularGenetics0303 health scienceseducation.field_of_studyGeographybiology[SDV.BID.EVO]Life Sciences [q-bio]/Biodiversity/Populations and Evolution [q-bio.PE]MESH : GeographyMESH: Genes MHC Class I[ SDE.MCG ] Environmental Sciences/Global Changes[ SDV.BID.EVO ] Life Sciences [q-bio]/Biodiversity/Populations and Evolution [q-bio.PE][SDV.IMM.IA]Life Sciences [q-bio]/Immunology/Adaptive immunologyMate choiceMESH: Stochastic ProcessesMHC class IMESH : MutationSparrowsGene FlowGenetic MarkersMESH: Mutationbalancing selection[SDE.MCG]Environmental Sciences/Global ChangesPopulationMESH : Genetic DriftMESH: Genetics Populationchemical and pharmacologic phenomenaMESH : Stochastic ProcessesMajor histocompatibility complex010603 evolutionary biologyMESH : Genes MHC Class IEvolution Molecular03 medical and health sciencesMESH : Genetic VariationMHC class IGeneticsPasser domesticusMESH : Selection (Genetics)AnimalsMESH : Evolution MolecularSelection GeneticMESH: Genetic DrifteducationAllelesMESH: Gene FlowEcology Evolution Behavior and SystematicsSelection (genetic algorithm)030304 developmental biologyLocal adaptationIsolation by distanceStochastic Processes[ SDE.BE ] Environmental Sciences/Biodiversity and Ecologyhouse sparrowMESH: AllelesGenetic DriftGenetic Variationdiversifying selectionPasser domesticus.[ SDV.GEN.GA ] Life Sciences [q-bio]/Genetics/Animal geneticsMESH : Genetics Population[SDE.ES]Environmental Sciences/Environmental and Society[SDV.GEN.GA]Life Sciences [q-bio]/Genetics/Animal geneticsGenetics PopulationEvolutionary biologyMutationbiology.proteinMESH: Microsatellite RepeatsMESH : AnimalsMESH : Sparrows[SDE.BE]Environmental Sciences/Biodiversity and EcologyMESH : Alleles[ SDE.ES ] Environmental Sciences/Environmental and SocietyMicrosatellite Repeats
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Classification of European and Mediterranean coastal dune vegetation

2018

Aims: Although many phytosociological studies have provided detailed local and regional descriptions of coastal dune vegetation, a unified classification of this vegetation in Europe and the Mediterranean Basin has been missing. Our aim is to produce a formalized classification of this vegetation and to identify the main factors driving its plant species composition at a continental scale. LocationAtlantic and Baltic coasts of Europe, Mediterranean Basin and the Black Sea region. - Methods: We compiled a database of 30,759 plots of coastal vegetation, which were resampled to reduce unbalanced sampling effort, obtaining a data set of 11,769 plots. We classified these plots with TWINSPAN, int…

0106 biological sciencesMediterranean climateAmmophileteaVegetation classificationphytosociologyBos- en LandschapsecologiePlant Ecology and Nature ConservationManagement Monitoring Policy and Law010603 evolutionary biology01 natural sciencesMediterranean BasinSand dune stabilizationHonckenyo-ElymeteaKoelerio-Corynephoretea canescentisForest and Landscape Ecology14. Life underwaterExpert systemVegetatiebiogeographyvegetation classificationNature and Landscape Conservationexpert systemSand duneVegetationEcologyPhytosociologyVegetation classificationSpecies diversityVegetation15. Life on landPE&RCKoelerio-Corynephoretea canescentiBiogeographySettore BIO/03 - Botanica Ambientale E ApplicataPlantenecologie en NatuurbeheerVegetatie Bos- en LandschapsecologieOrdinationVegetation Forest and Landscape EcologyPhysical geographysand dunePhytosociology010606 plant biology & botany
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