Search results for "STICS"

showing 10 items of 21128 documents

Root hair anatomy and morphology in Posidonia oceanica (L.) Delile and substratum typology: First observations of a spiral form

2018

Abstract The morpho-anatomical root hair features of P. oceanica ramets collected in meadows settled on different substrata (sand, matte and rock) were analysed. On each substratum, nine plagiothropic rhizomes each one composed by 3–6 interconnected short shoots were collected between April and May 2016 at 10 m of depth. On sand and on rock, the adventitious roots showed two distinct tubular and spiral-shaped hairs, clustered in yellowish-gray gelatinous pads. Tubular root hair tips were dactiliform and generally attached to grains of rock fragments. Moreover, a sub-circular swelling zone occurred. On matte , root hairs did not form gelatinous pads, were very short and had a simple distal p…

0106 biological sciencesDistal portionMorphology (linguistics)010504 meteorology & atmospheric sciencesbiologyPosidonia oceanicaPlant ScienceRoot systemAnatomyAquatic ScienceRoot hairbiology.organism_classification01 natural sciencesRhizomePlant scienceType of root hairRock fragmentPosidonia oceanicaAnatomySubstratum010606 plant biology & botany0105 earth and related environmental sciencesAquatic Botany
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A novel method to predict dark diversity using unconstrained ordination analysis

2019

[Questions] Species pools are the product of complex ecological and evolutionary mechanisms, operating over a range of spatial scales. Here, we focus on species absent from local sites but with the potential to establish within communities — known as dark diversity. Methods for estimating dark diversity are still being developed and need to be compared, as well as tested for the type, and amount, of reference data needed to calibrate these methods. [Location] South Bohemia (48°58′ N, 14°28′ E) and Železné Hory (49°52′ N, 15°34′ E), Czech Republic. [Method] We compared a widely accepted algorithm to estimate species pools (Beals smoothing index, based on species co-occurrence) against a nove…

0106 biological sciencesEcologyReference data (financial markets)Species poolCommunity structureBeals smoothing indexPlant Science010603 evolutionary biology01 natural sciencesCommunity structureEllenberg valuesUnconstrained ordinationCommon speciesDark diversityStatisticsRange (statistics)OrdinationScale (map)Nested sampling algorithmSmoothing010606 plant biology & botanyMathematics
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The roles of temperature, nest predators and information parasites for geographical variation in egg covering behaviour of tits (Paridae)

2020

Abstract Aim: Nest building is widespread among animals. Nests may provide receptacles for eggs, developing offspring and the parents, and protect them from adverse environmental conditions. Nests may also indicate the quality of the territory and its owner and can be considered as an extended phenotype of its builder(s). Nests may, thus, function as a sexual and social signal. Here, we examined ecological and abiotic factors—temperature, nest predation and interspecific information utilization—shaping geographical variation in a specific nest structure—hair and feather cover of eggs—and its function as an extended phenotype before incubation in great (Parus major) and blue tits (Cyanistes …

0106 biological sciencesEconomicsBiology010603 evolutionary biology01 natural sciencesPredation03 medical and health sciencesCyanistes caeruleusNestbird nestParus majorBiologyEcology Evolution Behavior and SystematicsComputingMilieux_MISCELLANEOUS030304 developmental biology0303 health sciencesbreeding successEcologyOcellsEcologyextended phenotype15. Life on landBird nestChemistryVariation (linguistics)[SDE]Environmental Sciencesnest structure
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Decoding Group Vocalizations: The Acoustic Energy Distribution of Chorus Howls Is Useful to Determine Wolf Reproduction

2016

Population monitoring is crucial for wildlife management and conservation. In the last few decades, wildlife researchers have increasingly applied bioacoustics tools to obtain information on several essential ecological parameters, such as distribution and abundance. One such application involves wolves (Canis lupus). These canids respond to simulated howls by emitting group vocalizations known as chorus howls. These responses to simulated howls reveal the presence of wolf litters during the breeding period and are therefore often used to determine the status of wolf populations. However, the acoustic structure of chorus howls is complex and discriminating the presence of pups in a chorus i…

0106 biological sciencesEntropyPopulation Dynamicslcsh:MedicineWildlife01 natural sciencesVocalizationMathematical and Statistical Techniqueslcsh:ScienceAnimal Signaling and CommunicationIberian wolfMammalseducation.field_of_studyMultidisciplinarybiologyAnimal BehaviorBehavior AnimalEcologyPhysicsReproductionAcoustic energyCanisPhysical SciencesVertebratesThermodynamicsCartographyStatistics (Mathematics)Research ArticleConservation of Natural ResourcesBioacousticsAnimal TypesPopulationResearch and Analysis Methods010603 evolutionary biologyCoyotesAcoustic SignalsAnimalsWildlife managementStatistical MethodseducationEcosystemBehaviorWolvesReproductive success010604 marine biology & hydrobiologylcsh:RChorusOrganismsBiology and Life SciencesAcousticsJackalsModels Theoreticalbiology.organism_classificationAmnioteslcsh:QVocalization AnimalZoologyBioacousticsMathematicsForecasting
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Bioplastic recovery from wastewater: A new protocol for polyhydroxyalkanoates (PHA) extraction from mixed microbial cultures

2019

Abstract A new protocol for polyhydroxyalkanoates (PHA) extraction from mixed microbial cultures (MMCs) is proposed. PHA-accumulating capacity of the MMC was selected in a sequencing batch reactor (SBR) fed with a synthetic effluent emulating a fermented oil mill wastewater (OMW). The highest recovery yield and purity (74 ± 8% and 100 ± 5%, respectively) was obtained when using NH4-Laurate for which operating conditions of the extraction process such as temperature, concentration and contact time were optimized. Best conditions for PHA extraction from MMC turned to be: i) a pre-treatment with NaClO at 85 °C with 1 h of contact time, followed by ii) a treatment with lauric acid in a ratio ac…

0106 biological sciencesEnvironmental EngineeringPHABioengineeringSequencing batch reactorWastewater treatment010501 environmental sciencesWastewater01 natural sciencesBioplasticPolyhydroxyalkanoateschemistry.chemical_compoundBioreactors010608 biotechnologyBiomassWaste Management and DisposalEffluent0105 earth and related environmental sciencesSettore ICAR/03 - Ingegneria Sanitaria-AmbientaleRenewable Energy Sustainability and the EnvironmentChemistryPolyhydroxyalkanoatesExtraction (chemistry)Water resource recoveryGeneral MedicinePulp and paper industryLauric acidBioplasticWastewaterFermentationFermentationPlastics
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Reproductive timing and individual fitness

2002

Estimation of individual fitness – i.e. description of the extent to which an individual's genes are represented in future generations – is a feature central to most evolutionary studies. Lifetime reproductive success (LRS) is a commonly used estimate of individual fitness, but because it is rate-insensitive (i.e. timing of reproductive events is not incorporated), it may give a biased estimate of fitness when reproductive timing is an important component of fitness. A review of all empirical studies which have used a recently derived, rate-sensitive estimate of individual fitness, λind revealed that λind ranks the fitness of phenotypes differently from LRS, and that this difference may lea…

0106 biological sciencesEstimation0303 health sciencesReproductive successEcologyContrast (statistics)Phenotypic traitBiology010603 evolutionary biology01 natural sciencesGenetic loadTest (assessment)03 medical and health sciencesEmpirical researchEcology Evolution Behavior and SystematicsSelection (genetic algorithm)030304 developmental biologyEcology Letters
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Paraplangia sinespeculo, a new genus and species of bush-cricket, with notes on its biology and a key to the genera of Phaneropterinae (Orthoptera: T…

2018

Madagascar is a well-known hotspot of biodiversity. However, many Orthoptera, and especially the Tettigonioidea, belong to little-studied groups. Here we describe a new genus and species of bush-cricket reared from field-collected eggs.Paraplangiasinespeculogen. nov., sp. nov. belongs to Phaneropterinae and shares diagnostic characteristics with members of the tribe Amblycoryphini and its African subtribe Plangiina stat. nov.Paraplangia, which has a chromosome number of 31 X0, differs from other African members of the tribe and subtribe such asEurycoryphaandPlangia, which both have 29 X0. In addition to morphology, we describe the male calling song, female acoustic response, and mating beha…

0106 biological sciencesEurycoryphachromosomesOrthoptera010607 zoologyBiodiversityZoologyAmblycoryphini010603 evolutionary biology01 natural sciencesOrophusAcoustic responsebioacousticsGenusCricketlcsh:Zoologylcsh:QL1-991Spectral compositionbiologyduettingbioacoustics ; duetting ; Amblycoryphini ; Orophus ; chromosomesbiology.organism_classificationAmblycoryphini bioacoustics chromosomes duetting OrophusSettore AGR/11 - Entomologia Generale E ApplicataInsect SciencePhaneropterinae
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A Methodology to Derive Global Maps of Leaf Traits Using Remote Sensing and Climate Data

2018

This paper introduces a modular processing chain to derive global high-resolution maps of leaf traits. In particular, we present global maps at 500 m resolution of specific leaf area, leaf dry matter content, leaf nitrogen and phosphorus content per dry mass, and leaf nitrogen/phosphorus ratio. The processing chain exploits machine learning techniques along with optical remote sensing data (MODIS/Landsat) and climate data for gap filling and up-scaling of in-situ measured leaf traits. The chain first uses random forests regression with surrogates to fill gaps in the database (> 45% of missing entries) and maximizes the global representativeness of the trait dataset. Plant species are then a…

0106 biological sciencesFOS: Computer and information sciences010504 meteorology & atmospheric sciencesSpecific leaf areaClimateBos- en LandschapsecologieSoil ScienceFOS: Physical sciencesApplied Physics (physics.app-ph)010603 evolutionary biology01 natural sciencesStatistics - ApplicationsGoodness of fitAbundance (ecology)Machine learningForest and Landscape EcologyApplications (stat.AP)Computers in Earth SciencesPlant ecologyVegetatie0105 earth and related environmental sciencesRemote sensingMathematics2. Zero hungerPlant traitsVegetationData stream miningClimate; Landsat; Machine learning; MODIS; Plant ecology; Plant traits; Random forests; Remote sensing; Soil Science; Geology; Computers in Earth SciencesGlobal MapRegression analysisGeologyPhysics - Applied Physics15. Life on landRandom forestsRemote sensingPE&RCRandom forestMODISTraitVegetatie Bos- en LandschapsecologieVegetation Forest and Landscape EcologyLandsat
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Temperate Fish Detection and Classification: a Deep Learning based Approach

2021

A wide range of applications in marine ecology extensively uses underwater cameras. Still, to efficiently process the vast amount of data generated, we need to develop tools that can automatically detect and recognize species captured on film. Classifying fish species from videos and images in natural environments can be challenging because of noise and variation in illumination and the surrounding habitat. In this paper, we propose a two-step deep learning approach for the detection and classification of temperate fishes without pre-filtering. The first step is to detect each single fish in an image, independent of species and sex. For this purpose, we employ the You Only Look Once (YOLO) …

0106 biological sciencesFOS: Computer and information sciencesComputer Science - Machine LearningComputer scienceComputer Vision and Pattern Recognition (cs.CV)Computer Science - Computer Vision and Pattern Recognition010603 evolutionary biology01 natural sciencesConvolutional neural networkVDP::Matematikk og Naturvitenskap: 400::Informasjons- og kommunikasjonsvitenskap: 420Machine Learning (cs.LG)Artificial IntelligenceClassifier (linguistics)FOS: Electrical engineering electronic engineering information engineeringbusiness.industry010604 marine biology & hydrobiologyDeep learningImage and Video Processing (eess.IV)Process (computing)Pattern recognitionElectrical Engineering and Systems Science - Image and Video ProcessingObject detectionA priori and a posterioriNoise (video)Artificial intelligenceTransfer of learningbusiness
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The past and the present in decision-making: the use of conspecific and heterospecific cues in nest site selection

2014

International audience; Nest site selection significantly affects fitness, so adaptations for assessment of the qualities of available sites are expected. The assessment may be based on personal or social information, the latter referring to the observed location and performance of both conspecific and heterospecific individuals. Contrary to large-scale breeding habitat selection, small-scale nest site selection within habitat patches is insufficiently understood. We analyzed nest site selection in the migratory Collared Flycatcher Ficedula albicollis in relation to present and past cues provided by conspecifics and by resident tits within habitat patches by using long-term data. Collared F…

0106 biological sciencesFicedula albicollismedia_common.quotation_subject[SDV]Life Sciences [q-bio]Bayesian statistics010603 evolutionary biology01 natural sciencesCompetition (biology)Nest0501 psychology and cognitive sciences050102 behavioral science & comparative psychologyEcology Evolution Behavior and SystematicsSelection (genetic algorithm)media_commonParusbiologyReproductive successEcologyprospecting05 social sciencesheterospecific attractionInterspecific competitionbiology.organism_classificationsocial informationconspecific attractionHabitatcompetition
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