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showing 10 items of 10618 documents

Carbon emission along a eutrophication gradient in temperate riverine wetlands: effect of primary productivity and plant community composition

2016

International audience; 1. Eutrophication increases primary productivity and favours the predominance of floating vegetation in wetlands. Carbon (C) fluxes in wetlands are strongly driven by primary productivity and can differ by vegetation type. However, to the best of our knowledge, the role of eutrophication in C fluxes has rarely been assessed. 2. Consequently, we aimed to measure the seasonal variation in carbon dioxide (CO2) and methane (CH4) fluxes at six aquatic sites in four temperate wetlands, ranging along a gradient of sediment total phosphorus content, and determine whether C fluxes correlate with above-ground net primary productivity (ANPP) and plant community composition alon…

0106 biological sciencesproductivity010504 meteorology & atmospheric sciencesplant growth formWetlandAquatic Science01 natural sciencesVegetation type0105 earth and related environmental sciences[ SDE.BE ] Environmental Sciences/Biodiversity and Ecologygeographygeography.geographical_feature_categoryEcology010604 marine biology & hydrobiologymethanePrimary productionfood and beveragescarbon dioxidePlant communityVegetation15. Life on landMacrophytemacrophytesProductivity (ecology)13. Climate actionEnvironmental chemistryEnvironmental science[SDE.BE]Environmental Sciences/Biodiversity and EcologyEutrophication
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The Strategic Reference Gene: an organismal theory of inclusive fitness

2019

How to define and use the concept of inclusive fitness is a contentious topic in evolutionary theory. Inclusive fitness can be used to calculate selection on a focal gene, but it is also applied to whole organisms. Individuals are then predicted to appear designed as if to maximise their inclusive fitness, provided that certain conditions are met (formally when interactions between individuals are 'additive'). Here we argue that applying the concept of inclusive fitness to organisms is justified under far broader conditions than previously shown, but only if it is appropriately defined. Specifically, we propose that organisms should maximise the sum of their offspring (including any accrued…

0106 biological sciencesselfish geneHamilton’s ruleEvolutionevoluutioKin selection010603 evolutionary biology01 natural sciencesGeneral Biochemistry Genetics and Molecular Biology03 medical and health sciencesReference genekausaaliteettiSelection GeneticsukulaisvalintaQuantitative Biology - Populations and Evolutionsocial evolutionEvolutionary theorySelection (genetic algorithm)030304 developmental biologyGeneral Environmental Sciencesopeutuminen0303 health sciencesgeenitModels GeneticGeneral Immunology and MicrobiologyReproductionPopulations and Evolution (q-bio.PE)Inclusive fitnessGeneral MedicineBiological EvolutionCausalityPhenotypeEvolutionary biologyFOS: Biological scienceskausaliteettiGenetic FitnessAdaptationSocial evolutionGeneral Agricultural and Biological SciencesPsychology
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Assessment of production and qualitative characteristics of different populations of Salvia sclarea L. found in Sicily (Italy)

2021

Salvia sclarea L. is an important industrial crop, valued for its herbal-aromatic properties and high quality essential oils, that is used in food, pharmaceuticals and cosmetics. In this study, carried out from 2009 to 2010, the morphological and production characteristics and essential oil content and composition of three Sicilian populations were studied. In particular, the composition of essential oils extracted from primary and secondary inflorescences using steam distillation was assessed. Morphological, production and qualitative data from the three populations were subjected to analysis of variance and cluster analysis. Regarding the quality of the oils, only the most prevalent compo…

0106 biological sciencesspike yieldPopulation<i>Salvia sclarea</i> L.; spike yield; primary and secondary inflorescences; local populations; essential oil principal componentsBiologyLinalyl acetateSalvia sclarea L.01 natural scienceslaw.inventionSteam distillationchemistry.chemical_compoundLinaloollawSalvia sclarealocal populationseducationEssential oilprimary and secondary inflorescenceseducation.field_of_studyChemotypeS<i>Salvia sclarea</i> L.Agricultureessential oil principal components0104 chemical sciencesSettore AGR/02 - Agronomia E Coltivazioni Erbacee010404 medicinal & biomolecular chemistryHorticultureInflorescencechemistrylocal populationprimary and secondary inflorescenceAgronomy and Crop Science010606 plant biology & botany
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Water temperature, not fish morph, determines parasite infections of sympatric Icelandic threespine sticklebacks (Gasterosteus aculeatus)

2013

Parasite communities of fishes are known to respond directly to the abiotic environment of the host, for example, to water quality and water temperature. Biotic factors are also important as they affect the exposure profile through heterogeneities in parasite distribution in the environment. Parasites in a particular environment may pose a strong selection on fish. For example, ecological differences in selection by parasites have been hypothesized to facilitate evolutionary differentiation of freshwater fish morphs specializing on different food types. However, as parasites may also respond directly to abiotic environment the parasite risk does not depend only on biotic features of the hos…

0106 biological sciencesstickleback morphotypeseducationZoologyhabitat specializationGasterosteus010603 evolutionary biology01 natural sciencesADAPTIVE RADIATIONSCENTRAL FINLANDEcological speciation03 medical and health sciencesCATARACT FORMATIONecological speciation14. Life underwaterPERCH PERCA-FLUVIATILISSPATIAL VARIATION3-SPINED STICKLEBACKSEcology Evolution Behavior and SystematicsOriginal Research030304 developmental biologyNature and Landscape ConservationTREMATODE PARASITESAbiotic componentAdaptive radiationHELMINTH COMMUNITIES0303 health sciencesARCTIC CHARRBiotic componentEcologybiologyEcologyCOMPONENT COMMUNITYSticklebackbiology.organism_classification6. Clean waterDiplostomumhost-parasite interactionsHabitatSympatric speciation1181 Ecology evolutionary biologyFreshwater fishta1181lajiutuminenAdaptive radiation; Diplostomum; Ecological speciation; Habitat specialization; Stickleback morphotypes; Host-parasite interactionsEcology and Evolution
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Abiotic Stress Tolerance of Coastal Accessions of a Promising Forage Species, Trifolium fragiferum

2021

Crop wild relatives are valuable as a genetic resource to develop new crop cultivars, better adapted to increasing environmental heterogeneity and being able to give high quality yields in a changing climate. The aim of the study was to evaluate the tolerance of different accessions of a crop wild relative, Trifolium fragiferum L., from coastal habitats of the Baltic Sea to three abiotic factors (increased soil moisture, trampling, cutting) in controlled conditions. Seeds from four accessions of T. fragiferum, collected in the wild, were used for experiments, and cv. ‘Palestine’ was used as a reference genotype. Plants were cultivated in asymbiotic conditions of soil culture. Treatments wer…

0106 biological sciencestramplingTrifolium fragiferumPlant Science01 natural sciencescrop wild relativesCropCultivarcuttingEcology Evolution Behavior and SystematicsAbiotic componentEcologybiologyEcotypeBotany04 agricultural and veterinary sciencesbiology.organism_classificationCrop wild relativeAgronomyQK1-989040103 agronomy & agricultureforage legumestrawberry clover0401 agriculture forestry and fisheriesTramplingsoil moisture010606 plant biology & botanyWaterlogging (agriculture)Plants
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A Revised Phylogeny of Discocerinini (Diptera: Ephydridae) with an Emphasis on Structures of the Proboscis

2016

Supplementary diagnostic characters of genera in the tribe Discocerinini are suggested. A new genus Aquachasma Zatwarnicki, type species: Discocerina leucoprocta Loew, 1861 is described with 24 new combinations of all included species. Genus Polytrichophora is divided into the nominate subgenus and a new subgenus Sklodowskopa Zatwarnicki, type species: Clasiopa duplosetosa Becker, 1896. Genus Orasiopa is divided into the nominate subgenus and a new subgenus Reymontopa Zatwarnicki, type species: Discocerina mera Cresson, 1939. The shape of the proboscis of all genera of Discocerinini is provided, including variability of cibarium and pseudotracheae. The ventral receptacles of 6 genera (Aquac…

0106 biological sciencesventral receptacleproboscisbiologyDipteraDiscocerinini010607 zoologyZoologyEphydridaebiology.organism_classificationTribe (biology)phylogeny010603 evolutionary biology01 natural sciencesProboscis (genus)Type speciesTaxonEphydridaePhylogeneticsGenusSubgenusEcology Evolution Behavior and SystematicsAnnales Zoologici
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A segmentation algorithm for noisy images

2005

International audience; This paper presents a segmentation algorithm for gray-level images and addresses issues related to its performance on noisy images. It formulates an image segmentation problem as a partition of a weighted image neighborhood hypergraph. To overcome the computational difficulty of directly solving this problem, a multilevel hypergraph partitioning has been used. To evaluate the algorithm, we have studied how noise affects the performance of the algorithm. The alpha-stable noise is considered and its effects on the algorithm are studied. Key words : graph, hypergraph, neighborhood hypergraph, multilevel hypergraph partitioning, image segmentation and noise removal.

020203 distributed computingHypergraphMathematics::Combinatorics[ INFO ] Computer Science [cs]Computer sciencebusiness.industrySegmentation-based object categorizationComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONScale-space segmentationImage processing02 engineering and technologyImage segmentation[INFO] Computer Science [cs]020202 computer hardware & architectureComputer Science::Computer Vision and Pattern Recognition0202 electrical engineering electronic engineering information engineeringGraph (abstract data type)SegmentationComputer vision[INFO]Computer Science [cs]Artificial intelligencebusinessAlgorithmMathematicsofComputing_DISCRETEMATHEMATICS
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Image retrieval system for citizen services using penalized logistic regression models

2020

This paper describes a procedure to deal with large image collections obtained by smart city services based on interaction with citizens providing pictures. The semantic gap between the low-level image features and represented concepts and situations has been addressed using image retrieval techniques. A relevance feedback procedure is proposed for Content-Based Image Retrieval (CBIR) based on the modelling of user responses. One of the novelties of the proposal is that the feedback learning procedure can use the information that citizens themselves can provide when using these services.The proposed algorithm considers the probability of an image belonging to the set of those sought by the …

020203 distributed computingInformation retrievalComputer scienceRelevance feedback02 engineering and technologyLogistic regressionImage (mathematics)Set (abstract data type)Smart city0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingHigh dimensionalityImage retrievalSemantic gapProceedings of the 10th Euro-American Conference on Telematics and Information Systems
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Reinstatement of the Patagonian moss Ulota glabella Mitt. (Bryophyta, Orthotrichaceae)

2020

In 1842, J.D. Hooker collected a number of mosses on Hermite Island (Cape Horn region). From one of those gatherings, Hooker 141, four species of Ulota have been described: U. luteola, U. fuegiana, U. glabella, and U. eremitensis. The first two species are widely accepted, whereas the identity of the latter two has been recently discussed, and the names are now synonymized under U. fuegiana, the more widely distributed species in the Tierra del Fuego archipelago. Our studies, based on recent collections of Orthotrichaceae from Patagonia, show that specimens different from those of U. fuegiana and agreeing with the protologues of both U. glabella and U. eremitensis are common in Patagonia. C…

020209 energy0211 other engineering and technologiesZoologyBryophyta02 engineering and technologyType (biology)lcsh:Botanylcsh:Zoology021105 building & construction0202 electrical engineering electronic engineering information engineeringlcsh:QL1-991OrthotrichaceaePlantaeUlota eremitensisEcology Evolution Behavior and SystematicsTaxonomygeographygeography.geographical_feature_categorybiologyBiodiversityepitypeSouth Americabiology.organism_classificationUlota fuegianaMossBryopsidalcsh:QK1-989OrthotrichalesUlota macrocalycinaArchipelagoOrthotrichaceaeEuropean Journal of Taxonomy
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Extreme minimal learning machine: Ridge regression with distance-based basis

2019

The extreme learning machine (ELM) and the minimal learning machine (MLM) are nonlinear and scalable machine learning techniques with a randomly generated basis. Both techniques start with a step in which a matrix of weights for the linear combination of the basis is recovered. In the MLM, the feature mapping in this step corresponds to distance calculations between the training data and a set of reference points, whereas in the ELM, a transformation using a radial or sigmoidal activation function is commonly used. Computation of the model output, for prediction or classification purposes, is straightforward with the ELM after the first step. In the original MLM, one needs to solve an addit…

0209 industrial biotechnologyComputer scienceCognitive Neuroscienceneuraalilaskentaneuroverkot02 engineering and technologyrandomized learning machinesSet (abstract data type)extreme learning machine020901 industrial engineering & automationArtificial Intelligenceextreme minimal learning machine0202 electrical engineering electronic engineering information engineeringExtreme learning machineta113Training setBasis (linear algebra)Model selectionminimal learning machineOverlearningComputer Science ApplicationskoneoppiminenTransformation (function)020201 artificial intelligence & image processingAlgorithmNeurocomputing
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