Search results for "empirical"

showing 10 items of 1197 documents

Understanding the long-term effects of species invasions

2006

We describe here the ecological and evolutionary processes that modulate the effects of invasive species over time, and argue that such processes are so widespread and important that ecologists should adopt a long-term perspective on the effects of invasive species. These processes (including evolution, shifts in species composition, accumulation of materials and interactions with abiotic variables) can increase, decrease, or qualitatively change the impacts of an invader through time. However, most studies of the effects of invasive species have been brief and lack a temporal context; 40% of recent studies did not even state the amount of time that had passed since the invasion. Ecologists…

0106 biological sciencesAbiotic componentEmpirical dataTime FactorsEcology010604 marine biology & hydrobiologyTemporal context15. Life on landBiologyBiological Evolution010603 evolutionary biology01 natural sciencesInvasive speciesTerm (time)13. Climate actionAnimalsEcosystemEcology Evolution Behavior and SystematicsTrends in Ecology & Evolution
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Trade-offs between ecosystem service provision and the predisposition to disturbances: a NFI-based scenario analysis

2020

Abstract Background Scenario analyses that evaluate management effects on the long-term provision and sustainability of forest ecosystem services and biodiversity (ESB) also need to account for disturbances. The objectives of this study were to reveal potential trade-offs and synergies between ESB provision and disturbance predisposition at the scale of a whole country. Methods The empirical scenario model MASSIMO was used to simulate forest development and management from years 2016 to 2106 on 5086 sample plots of the Swiss National Forest Inventory (NFI). We included a business-as-usual (BAU) scenario and four scenarios of increased timber harvesting. Model output was evaluated with indic…

0106 biological sciencesBark beetle010504 meteorology & atmospheric sciencesBiodiversitykestävä metsätalous010603 evolutionary biology01 natural sciencesScenario analysisEcosystem servicesvaltakunnan metsien inventointihäiriötEmpirical modellcsh:QH540-549.5Forest ecologyEcosystem servicesempirical modelEcosystemScenario analysisforest inventoryEcology Evolution Behavior and Systematics0105 earth and related environmental sciencesNature and Landscape ConservationdisturbanceEcologybiologyAgroforestrymetsänkäsittelyLoggingmetsäsuunnitteluForestryDisturbancescenario analysisskenaariotbiology.organism_classificationekosysteemipalvelutSustainabilityEnvironmental sciencelcsh:Ecologymallit (mallintaminen)ecosystem servicesForest inventoryForest Ecosystems
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Examining nonstationarity in the recruitment dynamics of fishes using Bayesian change point analysis

2017

Marine ecosystems can undergo regime shifts, which result in nonstationarity in the dynamics of the fish populations inhabiting them. The assumption of time-invariant parameters in stock–recruitment models can lead to severe errors when forecasting renewal ability of stocks that experience shifts in their recruitment dynamics. We present a novel method for fitting stock–recruitment models using the Bayesian online change point detection algorithm, which is able to cope with sudden changes in the model parameters. We validate our method using simulations and apply it to empirical data of four demersal fishes in the southern Gulf of St. Lawrence. We show that all of the stocks have experience…

0106 biological sciencesEmpirical dataEcology010604 marine biology & hydrobiologyBayesian probabilityModel parametersAquatic Science010603 evolutionary biology01 natural sciencesChange-Point AnalysisEconometricsEnvironmental scienceFish <Actinopterygii>Marine ecosystem14. Life underwaterEcology Evolution Behavior and SystematicsChange detectionCanadian Journal of Fisheries and Aquatic Sciences
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Multiple‐batch spawning as a bet‐hedging strategy in highly stochastic environments: An exploratory analysis of Atlantic cod

2021

Stochastic environments shape life‐history traits and can promote selection for risk‐spreading strategies, such as bet‐hedging. Although the strategy has often been hypothesised to exist for various species, empirical tests providing firm evidence have been rare, mainly due to the challenge in tracking fitness across generations. Here, we take a ‘proof of principle’ approach to explore whether the reproductive strategy of multiple‐batch spawning constitutes a bet‐hedging. We used Atlantic cod (Gadus morhua) as the study species and parameterised an eco‐evolutionary model, using empirical data on size‐related reproductive and survival traits. To evaluate the fitness benefits of multiple‐batc…

0106 biological sciencesEmpirical dataEvolutionReproductive strategyBiology010603 evolutionary biology01 natural sciencesrisk‐spreadingturskaEnvironmental riskGeneticsQH359-425Gadus14. Life underwaterEcology Evolution Behavior and SystematicsSelection (genetic algorithm)VDP::Landbruks- og Fiskerifag: 900::Fiskerifag: 920kuntosopeutuminenlisääntymiskäyttäytyminenEcology010604 marine biology & hydrobiologyOriginal ArticlesExploratory analysisbiology.organism_classificationlisääntyminenfitnesselinkiertomultiple‐batch spawningAtlantic codTraitOriginal Articlebet‐hedgingGeneral Agricultural and Biological SciencesAtlantic codenvironmental stochasticityympäristönmuutoksetEvolutionary Applications
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Mechanisms of reciprocity and diversity in social networks: a modeling and comparative approach

2018

Individual-based computer models show that different mechanisms, proximity-based or emotional bookkeeping, can lead to reciprocation. By comparing social networks from different computer models with those of empirical data, we show that the models’ social networks bear limited resemblance with some features of the observed social networks. This indicates that additional social processes (third-party awareness) may be needed in these models to represent more accurately the social behavior and interaction patterns observed in group-living animals.

0106 biological sciencesEmpirical dataSocial networkbusiness.industryComparative method[SDV]Life Sciences [q-bio]05 social sciencesGroup livingBiology010603 evolutionary biology01 natural sciencesBookkeepingSocial processesReciprocity (social psychology)[SDE]Environmental Sciences[SDV.BA.ZV]Life Sciences [q-bio]/Animal biology/Vertebrate Zoology0501 psychology and cognitive sciencesAnimal Science and Zoology050102 behavioral science & comparative psychologybusinessEcology Evolution Behavior and SystematicsComputingMilieux_MISCELLANEOUSCognitive psychologyDiversity (business)
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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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Insect personality: what can we learn from metamorphosis?

2018

6 pages; International audience; Ontogeny of animal personality is still an open question. Testing whether personality traits correlated with state variables (e.g. metabolic rate, hormones) and/or life history traits, and which ones are involved, requires more empirical studies. Insects with metamorphosis represent a good opportunity to tackle this question. Because of the various degrees of internal (physiological, nervous) and environmental changes linked to metamorphosis they allow testing whether these modifications drive consistency in personality traits between immature and adult stages. In this review, we establish general predictions for the effects of metamorphosis on personality i…

0106 biological sciencesInsectamedia_common.quotation_subjectNicheInsectBiology010603 evolutionary biology01 natural sciences[ SDV.BDD.MOR ] Life Sciences [q-bio]/Development Biology/MorphogenesisLife history theoryEmpirical research[ SDV.EE.IEO ] Life Sciences [q-bio]/Ecology environment/SymbiosisPersonalityAnimals0501 psychology and cognitive sciences050102 behavioral science & comparative psychologyBig Five personality traitsMetamorphosisEcology Evolution Behavior and SystematicsEcosystemmedia_common[ SDE.BE ] Environmental Sciences/Biodiversity and Ecology05 social sciencesMetamorphosis Biological[SDV.BDD.MOR]Life Sciences [q-bio]/Development Biology/MorphogenesisInsect ScienceMetabolic rate[SDE.BE]Environmental Sciences/Biodiversity and EcologyCognitive psychologyPersonality[SDV.EE.IEO]Life Sciences [q-bio]/Ecology environment/Symbiosis
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Harvest‐induced evolution and effective population size

2016

Much has been written about fishery-induced evolution (FIE) in exploited species, but relatively little attention has been paid to the consequences for one of the most important parameters in evolutionary biology-effective population size (N-e). We use a combination of simulations of Atlantic cod populations experiencing harvest, artificial manipulation of cod life tables, and analytical methods to explore how adding harvest to natural mortality affects N-e, census size (N), and the ratio N-e/N. We show that harvest-mediated reductions in N-e are due entirely to reductions in recruitment, because increasing adult mortality actually increases the N-e/N ratio. This means that proportional red…

0106 biological sciencesLIFE-HISTORYlife history evolutionFISHERIES-INDUCED EVOLUTIONpopulation genetics - empiricalPopulationpopulation genetics – empirical010603 evolutionary biology01 natural sciencesOVERLAPPING GENERATIONSAGEAnimal scienceEffective population sizeAbundance (ecology)Geneticswildlife management14. Life underwaterGenetic variabilityLife historyeducationEcology Evolution Behavior and Systematicseducation.field_of_studyCONSEQUENCESbiologyEcology010604 marine biology & hydrobiologyPopulation sizeCOMPONENTSOriginal ArticlesGENETIC COMPENSATIONbiology.organism_classificationEXPLOITED FISH STOCKSOVEREXPLOITATIONfisheries managementTEMPORAL-CHANGES1181 Ecology evolutionary biologyOriginal ArticlePreharvestcontemporary evolutionGeneral Agricultural and Biological SciencesAtlantic codEvolutionary Applications
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Empirical Bayes improves assessments of diversity and similarity when overdispersion prevails in taxonomic counts with no covariates

2019

Abstract The assessment of diversity and similarity is relevant in monitoring the status of ecosystems. The respective indicators are based on the taxonomic composition of biological communities of interest, currently estimated through the proportions computed from sampling multivariate counts. In this work we present a novel method to estimate the taxonomic composition able to work even with a single sample and no covariates, when data are affected by overdispersion. The presence of overdispersion in taxonomic counts may be the result of significant environmental factors which are often unobservable but influence communities. Following the empirical Bayes approach, we combine a Bayesian mo…

0106 biological sciencesMultivariate statisticsBiological dataEmpirical Bayesian estimationEcologyTaxonomic compositionGeneral Decision SciencesEnvironmental monitoring010501 environmental sciencesBayesian inference010603 evolutionary biology01 natural sciencesBiodiversity assessment; Dirichlet-Multinomial model; Empirical Bayesian estimation; Environmental monitoring; Taxonomic compositionMarginal likelihoodBayes' theoremOverdispersionStatisticsTaxonomic rankDirichlet-Multinomial modelBiodiversity assessmentEcology Evolution Behavior and Systematics0105 earth and related environmental sciencesEmpirical Bayes methodMathematics
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Conceptual Key Competency Model for Smart Factories in Production Processes

2020

Abstract Background and Purpose: The aim of the study is to develop a conceptual key competency model for smart factories in production processes, focused on the automotive industry, as innovation and continuous development in this industry are at the forefront and represent the key to its long-term success. Methodology: For the purpose of the research, we used a semi-structured interview as a method of data collection. Participants were segmented into three homogeneous groups, which are industry experts, university professors and secondary education teachers, and government experts. In order to analyse the qualitative data, we used the method of content analysis. Results: Based on the anal…

0209 industrial biotechnologyOrganizational Behavior and Human Resource ManagementKnowledge managementIndustry 4.0Strategy and Managementcompetencies conceptual key competency model smart factory Industry 4.0 automotive industryAutomotive industryQualitative property02 engineering and technologylcsh:BusinessManagement Information Systems020901 industrial engineering & automationEmpirical research0502 economics and businessBusiness and International Managementindustry 4.0CurriculumMarketingcompetenciesconceptual key competency modelbusiness.industry05 social sciencesSoft skillssmart factoryautomotive industryContent analysisTourism Leisure and Hospitality ManagementStructured interviewbusinesslcsh:HF5001-6182Settore SECS-P/08 - Economia E Gestione Delle Imprese050203 business & management
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