Search results for "ecological model"

showing 10 items of 322 documents

Searching for the competitive ability of the alien seagrass Halophila stipulacea with the autochthonous species Cymodocea nodosa

2023

The tropical seagrass Halophila stipulacea (Forsskål) Ascherson, 1867 entered in the Mediterranean Sea through the Suez Canal more than 100 years ago. In coastal-marine ecosystems the spatial niche of H. stipulacea is often overlapped with that of native Mediterranean Sea seagrasses and therefore it might out-compete them. Aiming to better understand its invasiveness potential, we monitored a Southern Mediterranean shallow coastal-marine water habitat from August 2010 to August 2011, where H. stipulacea co-occurred with the native seagrass Cymodocea nodosa (Ucria) Ascherson, 1870. Besides, the year-round dynamics of H. stipulacea was also monitored in four periods. To test the hypothesis th…

Settore BIO/07 - Ecologiashallow coastal-marine habitatCymodoceaLiliopsidaCymodoceaceaePlant ScienceHydrocharitaceaeAquatic ScienceHalophilanon-indigenous species (NIS)Mediterranean SeaPlantaeEcology Evolution Behavior and SystematicsAlismatalesCymodocea nodosaEcologyEcological ModelingSettore BIO/02 - Botanica SistematicaCymodocea nodosa Halophila stipulacea invasive alien species (IAS) Mediterranean Sea non-indigenous species (NIS) seagrasses shallow coastal-marine habitatHalophila stipulaceaBiotaTracheophytaInsect ScienceAnimal Science and Zoologyinvasive alien species (IAS)seagrasses
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A pattern recognition approach to identify biological clusters acquired by acoustic multi-beam in Kongsfjorden

2022

The Svalbardsis one of the most intensively studied marine regions in the Artic; here the composition and distribution of marine assemblages are changing under the effect of global change, and marine communities are monitored in order to understand the long-term effects on marine biodiversity. In the present work, acoustic data collected in the Kongsfjorden using multi-beam technology was analyzed to develop a methodology for identifying and classifying 3D acoustic patterns related to fish aggregations. In particular, morphological, energetic and depth features were taken into account to develop a multi-variate classification procedure allowing to discriminate fish species. The results obta…

Settore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniEnvironmental Engineering3D patternSettore INF/01 - InformaticaClusterEcological ModelingFish schoolMulti-beamK-meansSoftwareEnvironmental Modelling & Software
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Automatic classification of acoustically detected krill aggregations: A case study from Southern Ocean

2022

Acoustic surveys represent the standard methodology to assess the spatial distribution and abundance of pelagic organisms characterized by aggregative behaviour. The species identification of acoustically observed aggregations is usually performed by taking into account the biological sampling and according to expert-based knowledge. The precision of survey estimates, such as total abundance and spatial distribution, strongly depends on the efficiency of acoustic and biological sampling as well as on the species identification. In this context, the automatic identification of specific groups based on energetic and morphological features could improve the species identification process, allo…

Settore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniEnvironmental EngineeringRoss SeaSettore INF/01 - InformaticaEcological Modelingk-meansAcousticKrillInternal validation indicesSoftwareHierarchical clustering
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Museomics Provides Insights into Conservation and Education:The Instance of an African Lion Specimen from the Museum of Zoology “Pietro Doderlein”

2023

Innovative technological approaches are crucial to enhance naturalistic museum collections and develop information repositories of relevant interest to science, such as threatened animal taxa. In this context, museomics is an emerging discipline that provides a novel approach to the enhancement and exploitation of these collections. In the present study, the discovery of a neglected lion skeleton in the Museum of Zoology “Pietro Doderlein” of the University of Palermo (Italy) offered the opportunity to undertake a multidisciplinary project. The aims of the study consisted of the following: (i) adding useful information for museographic strategies, (ii) obtaining a new genetic data repositor…

Settore L-ART/04 - Museologia E Critica Artistica E Del RestauroeducationlionEcologyEcological ModelingSettore BIO/05 - Zoologiaconservationancient DNA; biodiversity; conservation; digital restoration; education; lion; museomics; museum collections; <i>Panthera leo leo</i>; phylogeographyphylogeographymuseum collectiondigital restorationAgricultural and Biological Sciences (miscellaneous)museomicsmuseomicPanthera leo leoSettore BIO/06 - Anatomia Comparata E Citologiaancient DNAmuseum collectionsNature and Landscape Conservationbiodiversity
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On the hidden significance of differing micro-sites on tree-ring based climate reconstructions

2015

Tree-ring chronologies are commonly extended back in time by combining samples from living trees with relict material preserved in man-made structures or natural archives (e.g. lakes). Although spatially close, these natural archives and living-tree-sites often comprise different micro-climates. Inhomogeneous growth conditions among these habitats, which may yield offsets in growth-rates, require caution in data processing. Here we assess species-specific growth dynamics in two micro-habitats and their potential effects on long chronologies by combining tree-ring data from different living-tree-sites with an “artificial” subfossil dataset. Well replicated (n &gt; 80) Norway spruce (…

Shoregeographygeography.geographical_feature_categorySubfossilbiologyEcologyEcological ModelingScots pineForestryPicea abiesbiology.organism_classificationKarstNatural (archaeology)HabitatDendrochronologylcsh:SD1-669.5Physical geographylcsh:ForestryGeologySilva Fennica
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Taxonomy of homicides of women in intimate partner relationships

2018

Intimate partner violence prevention is a challenge that has received wide international interest. Homicide is the most serious result of this type of violence, although its prevalence is low and its etiology is complex. This paper briefly reviews the description of the problem from a gender perspective and the existence of asymmetry, the perspective of violence and its description of differential risk factors, and the ecological model that connects personal, contextual, and societal variables, presenting a more integrative proposal. Studies analyzing and comparing homicide profiles are described, as well as the state of the art regarding risk assessment, with special attention to the impli…

Social PsychologyFamilicidiolcsh:BF1-990CriminologyHomicideDevelopmental and Educational PsychologyRelevance (law)WomenIntimate partner violence against womenApplied PsychologyIntimate partner homicide0505 law05 social sciencesPerspective (graphical)FamilicideFeminicidePsicologíaViolencia contra la mujer en las relaciones de parejaHomicide-suicideHomicidio diádicolcsh:PsychologyFeminicidioIntimate partner violence against050501 criminologySocial ecological modelDomestic violenceRisk assessmentPsychologyHomicidio de parejaPsychosocial Intervention
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Mechanisms for Translocation of Heavy Metals from Soil to Epigeal Mosses

2011

The mechanisms for translocation of heavy metals from soil to epigeal mosses were investigated. The first mechanism was demonstrated for (137)Cs and involved the uplifting of the pollutant-containing dust from the soil, followed by the local secondary deposition on surfaces of epigeal mosses and epiphytic lichens. The second mechanism involved the diffusion of metal cations from the soil through water wetting the moss into the gametophyte. The mechanism was demonstrated by measuring the electric conductance of wetted gametophytes with single ends immersed in solutions of Cu and Na salts. In addition, the concentrations of Cu and Cd were compared in moss samples exposed to the natural soil a…

Soil Science & ConservationEnvironmental EngineeringClimate ChangeTranslocationHydrogeologyEnvironmentcomplex mixturesArticleSecondary emissionDiffusionMetalSoilWaste Water Technology / Water Pollution Control / Water Management / Aquatic PollutionBotanyEnvironmental ChemistryLichenMossAtmospheric Protection/Air Quality Control/Air PollutionWater Science and TechnologybiologyEcological ModelingEnvironment generalContaminationbiology.organism_classificationPollutionMossSoil contaminationEcological ModellingDeposition (aerosol physics)Heavy metalsvisual_artvisual_art.visual_art_mediumEpiphyteEpigealWater, Air, &amp; Soil Pollution
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Spatio‐temporal classification in point patterns under the presence of clutter

2019

We consider the problem of detection of features in the presence of clutter for spatio-temporal point patterns. In previous studies, related to the spatial context, Kth nearest-neighbor distances to classify points between clutter and features. In particular, a mixture of distributions whose parameters were estimated using an expectation-maximization algorithm. This paper extends this methodology to the spatio-temporal context by considering the properties of the spatio-temporal Kth nearest-neighbor distances. For this purpose, we make use of a couple of spatio-temporal distances, which are based on the Euclidean and the maximum norms. We show close forms for the probability distributions o…

Statistics and Probability010504 meteorology & atmospheric sciencesComputer scienceComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONContext (language use)01 natural sciences010104 statistics & probabilitySpatio-temporalpoint patternsClutterExpectation–maximization algorithmEuclidean geometryEarthquakesPoint (geometry)clutter earthquakes EM algorithm features mixtures nearest‐neighbor distances spatio‐temporal point patterns0101 mathematicsEM algorithmFeatures0105 earth and related environmental sciencesspatio-temporal point patternSpatial contextual awarenessEcological Modelingmixturenearest-neighbor distanceComputingMethodologies_PATTERNRECOGNITIONearthquakeMixturesProbability distributionClutterfeatureSettore SECS-S/01 - StatisticaclutterNearest-neighbor distancesAlgorithmEnvironmetrics
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Breaking the curse of dimensionality in quadratic discriminant analysis models with a novel variant of a Bayes classifier enhances automated taxa ide…

2013

Macroinvertebrate samples are commonly used in biomonitoring to study changes on aquatic ecosystems. Traditionally, specimens are identified manually to taxa by human experts being time-consuming and cost intensive. Using the image data of 35 taxa and 64 features, we propose a novel variant of the quadratic discriminant analysis for breaking the curse of dimensionality in quadratic discriminant analysis models. Our variant, called a random Bayes array (RBA), uses bagging and random feature selection similar to random forest. We explore several variations of RBA. We consider three classification (i.e taxa identification) decisions: majority vote, averaged posterior probabilities, and a novel…

Statistics and ProbabilityBayes' theoremEcological ModelingBayesian probabilityStatisticsPosterior probabilityFeature selectionContext (language use)Bayes classifierQuadratic classifierMathematicsRandom forestEnvironmetrics
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Second-order diagnostics for space-time point processes with application to seismic events

2008

A diagnostic method for space-time point process is introduced and used to interpret and assess the goodness of fit of particular models to real data such as the seismic ones. The proposed method is founded on the definition of a weighted process and allows to detect second-order features of data, like long-range dependence and fractal behavior, that are not accounted for by the fitted model. Applications to earthquake data are provided. Copyright © 2008 John Wiley & Sons, Ltd.

Statistics and ProbabilityDiagnostic methodsComputer scienceEcological ModelingSpace timeProcess (computing)ResidualPoint processFractalGoodness of fitOrder (business)EconometricsSettore SECS-S/01 - StatisticaAlgorithmPoint processes residual analysis second-order features ETAS model seismic processEnvironmetrics
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