Search results for "POPULATIONS"

showing 10 items of 493 documents

Deep-Time Phylogenetic Clustering of Extinctions in an Evolutionarily Dynamic Clade (Early Jurassic Ammonites)

2012

7 pages; International audience; Conservation biologists and palaeontologists are increasingly investigating the phylogenetic distribution of extinctions and its evolutionary consequences. However, the dearth of palaeontological studies on that subject and the lack of methodological consensus hamper our understanding of that major evolutionary phenomenon. Here we address this issue by (i) reviewing the approaches used to quantify the phylogenetic selectivity of extinctions and extinction risks; (ii) investigating with a high-resolution dataset whether extinctions and survivals were phylogenetically clustered among early Pliensbachian (Early Jurassic) ammonites; (iii) exploring the phylogene…

Evolutionary ProcessesEcological MetricsCombined uselcsh:MedicineBiologyForms of EvolutionExtinction BiologicalPhylogeneticsPhyletic PatternsAnimalsCluster AnalysisEvolutionary SystematicsCladelcsh:ScienceBiologyDeep timeSpecies ExtinctionPhylogeny[ SDU.STU.PG ] Sciences of the Universe [physics]/Earth Sciences/PaleontologyAmmoniteEvolutionary BiologyMultidisciplinaryExtinctionModels StatisticalPhylogenetic treeEcologyEcologyFossilslcsh:RPaleontologysocial sciencesBiological Evolutionlanguage.human_languagehumanities[ SDV.BID.EVO ] Life Sciences [q-bio]/Biodiversity/Populations and Evolution [q-bio.PE]CephalopodaPhylogenetic PatternExtinction RisklanguageEarth SciencesMacroevolutionlcsh:QPaleoecologyPaleobiologyResearch ArticlePLoS ONE
researchProduct

Forward and backward diffusion approximations for haploid exchangeable population models

2001

Abstract The class of haploid population models with non-overlapping generations and fixed population size N is considered such that the family sizes ν1,…,νN within a generation are exchangeable random variables. A criterion for weak convergence in the Skorohod sense is established for a properly time- and space-scaled process counting the number of descendants forward in time. The generator A of the limit process X is constructed using the joint moments of the offspring variables ν1,…,νN. In particular, the Wright–Fisher diffusion with generator Af(x)= 1 2 x(1−x)f″(x) appears in the limit as the population size N tends to infinity if and only if the condition lim N→∞ E((ν 1 −1) 3 )/(N Var …

Exchangeable random variablesStatistics and ProbabilityDualityPopulation geneticsCoalescent theoryDiffusion approximationModelling and SimulationQuantitative Biology::Populations and EvolutionNeutralityWright–Fisher diffusionHille–Yosida theoremWeak convergenceMathematicsWeak convergenceApplied MathematicsMathematical analysisHeavy traffic approximationCommutative diagramHille–Yosida theoremPopulation modelDiffusion processModeling and SimulationAncestorsDescendantsExchangeabilityCoalescentStochastic Processes and their Applications
researchProduct

Energy intake functions of ectotherms and endotherms derived from their body mass growth

2016

How animals allocate energy to different body functions is still not completely understood and a challenging topic until recently. Here, we investigate in more detail the allocation of energy intake to growth, reproduction or heat production by developing energy budget models for ectothermic and endothermic vertebrates using a mathematical approach. We calculated energy intake functions of ectotherms and endotherms derived from their body mass growth. We show that our energy budget model produces energy intake patterns and distributions as observed in ectothermic and endothermic species. Our results comply consistently with some empirical studies that in endothermic species, like birds and …

FOS: Biological sciencesPopulations and Evolution (q-bio.PE)Quantitative Biology - Populations and Evolution92B05 92D50
researchProduct

Coexistence of resonant activation and noise enhanced stability in a model of tumor-host interaction: Statistics of extinction times

2006

We study a Langevin equation derived from the Michaelis-Menten (MM) phenomenological scheme for catalysis accompanying a spontaneous replication of molecules, which may serve as a simple model of cell-mediated immune surveillance against cancer. We examine how two different and statistically independent sources of noise - dichotomous multiplicative noise and additive Gaussian white noise - influence the population's extinction time. This quantity is identified as the mean first passage time of the system across the zero population state. We observe the effects of resonant activation (RA) and noise-enhanced stability (NES) and we report the evidence for competitive co-occurrence of both phen…

FOS: Biological sciencesPopulations and Evolution (q-bio.PE)Resonant ActivationQuantitative Biology - Populations and Evolution
researchProduct

Epidemic spreading and aging in temporal networks with memory

2018

Time-varying network topologies can deeply influence dynamical processes mediated by them. Memory effects in the pattern of interactions among individuals are also known to affect how diffusive and spreading phenomena take place. In this paper we analyze the combined effect of these two ingredients on epidemic dynamics on networks. We study the susceptible-infected-susceptible (SIS) and the susceptible-infected-removed (SIR) models on the recently introduced activity-driven networks with memory. By means of an activity-based mean-field approach we derive, in the long time limit, analytical predictions for the epidemic threshold as a function of the parameters describing the distribution of …

FOS: Computer and information sciencesPhysics - Physics and SocietyComputer scienceAnalytical predictionsEpidemic dynamicsFOS: Physical sciencesPhysics and Society (physics.soc-ph)Network topology01 natural sciences010305 fluids & plasmasNetworks and Complex Systems0103 physical sciencesQuantitative Biology::Populations and EvolutionStatistical physicsLimit (mathematics)010306 general physicsQuantitative Biology - Populations and EvolutionEpidemic controlSocial and Information Networks (cs.SI)Populations and Evolution (q-bio.PE)Computer Science - Social and Information NetworksFunction (mathematics)Computer Science::Social and Information NetworksArticlesDynamic modelsEpidemic thresholdEpidemic spreadingFOS: Biological sciencesMean field approachPhysical Review. E
researchProduct

Much can change in a year: The massawan mantis shrimp, erugosquilla massavensis (Kossmann, 1880) in sicily, Italy

2019

A flourishing population of the Massawan mantis shrimp, Erugosquilla massavensis, an Erythraean species, is recorded off Sicily, Italy, one year after the very first specimen was collected off the eastern coast of the island. The species is already established as a minor, albeit valuable, fishery resource. Once its population increases, however, it may compete with the native Mediterranean spot-tail mantis shrimp, Squilla mantis. This article presents the results of a joint effort between members of the Museo Civico di Storia Naturale of Comiso and local fishermen to monitor non-indigenous species in Sicilian waters.

Fisheries -- Italy -- SicilyArthropodaDistribution (economics)Introduced speciesDistributionPopulation dynamicPopulation densityInvasive speciesErugosquillaMantis shrimpShrimps -- Italy -- SicilySquilla -- Italy -- SicilyMalacostracaSquillidaeEcology Evolution Behavior and SystematicsbiologyCompetitionEcologybusiness.industrybiology.organism_classificationShrimp populations -- Italy -- SicilyEcology Evolution Behavior and SystematicFisheryGeographyIntroduced organisms -- Italy -- SicilyFishery resourceSquilla mantis -- Italy -- SicilybusinessInvasive alien specieSquilla manti
researchProduct

Behavior adaptation and selection.

2010

6 pages; The evolutionary approach to behavior is concerned with the evolutionary origin and adaptive function of behavioral traits. Like any other part of the phenotype, behavior can be shaped by natural selection to produce adaptations. However, behavior often shows large phenotypic variation and flexibility, and can be both – subject to selection and a major agent of selection. Therefore, the study of adaptation and evolution of behavior is a particularly complex one, involving a wide range of methodologies and techniques, including mathematical modeling, comparative methods, phenotypic engineering, quantitative genetics, genetic dissection, and artificial selection.

Flexibility (engineering)Optimization[ SDE.BE ] Environmental Sciences/Biodiversity and EcologyNatural selectionQuantitative geneticsEvolutionArtificial selectionNatural selectionQuantitative geneticsVariation (game tree)BiologyComparative methodEvolutionarily stable strategyAdaptive behaviour[ SDV.BID.EVO ] Life Sciences [q-bio]/Biodiversity/Populations and Evolution [q-bio.PE]Sexual selectionEvolutionary biologySexual selectionEvolutionary stable strategy[ SDV.EE.IEO ] Life Sciences [q-bio]/Ecology environment/SymbiosisAdaptationAdaptationSelection (genetic algorithm)
researchProduct

Asymptotic regime in N random interacting species

2005

The asymptotic regime of a complex ecosystem with \emph{N}random interacting species and in the presence of an external multiplicative noise is analyzed. We find the role of the external noise on the long time probability distribution of the i-th density species, the extinction of species and the local field acting on the i-th population. We analyze in detail the transient dynamics of this field and the cavity field, which is the field acting on the $i^{th}$ species when this is absent. We find that the presence or the absence of some population give different asymptotic distributions of these fields.

Fluctuation phenomena random processes noise and Brownian motionPhysicsPhysics - Physics and SocietyFluctuation phenomena random processes noise and Brownian motion; Nonlinear dynamics and nonlinear dynamical systems; Population dynamics and ecological pattern formation; Complex Systemseducation.field_of_studySettore FIS/02 - Fisica Teorica Modelli E Metodi MatematiciExtinctionField (physics)PopulationFOS: Physical sciencesComplex SystemsPhysics and Society (physics.soc-ph)External noiseCondensed Matter PhysicsComplex ecosystemMultiplicative noiseElectronic Optical and Magnetic MaterialsProbability distributionQuantitative Biology::Populations and EvolutionStatistical physicsNonlinear dynamics and nonlinear dynamical systemeducationLocal fieldComputer Science::Distributed Parallel and Cluster ComputingPopulation dynamics and ecological pattern formation
researchProduct

Two competing species in super-diffusive dynamical regimes

2010

The dynamics of two competing species within the framework of the generalized Lotka-Volterra equations, in the presence of multiplicative alpha-stable Lévy noise sources and a random time dependent interaction parameter, is studied. The species dynamics is characterized by two different dynamical regimes, exclusion of one species and coexistence of both, depending on the values of the interaction parameter, which obeys a Langevin equation with a periodically fluctuating bistable potential and an additive alpha-stable Lévy noise. The stochastic resonance phenomenon is analyzed for noise sources asymmetrically distributed. Finally, the effects of statistical dependence between multiplicative …

Fluctuation phenomena random processes noise and Brownian motionPhysicsSettore FIS/02 - Fisica Teorica Modelli E Metodi MatematiciBistabilityStochastic resonanceDifferential equationLotka–Volterra equationsProbability theory stochastic processes and statisticStochastic analysis methods (Fokker-Planck Langevin etc.)Population dynamicCondensed Matter PhysicsNoise (electronics)Multiplicative noiseElectronic Optical and Magnetic MaterialsBackground noiseLangevin equationRandom walks and Levy flightQuantitative Biology::Populations and EvolutionStatistical physicsThe European Physical Journal B
researchProduct

Noise Induced Phenomena in Lotka-Volterra Systems

2003

We study the time evolution of two ecosystems in the presence of external noise and climatic periodical forcing by a generalized Lotka-Volterra (LV) model. In the first ecosystem, composed by two competing species, we find noise induced phenomena such as: (i) quasi deterministic oscillations, (ii) stochastic resonance, (iii) noise delayed extinction and (iv) spatial patterns. In the second ecosystem, composed by three interacting species (one predator and two preys), using a discrete model of the LV equations we find that the time evolution of the spatial patterns is strongly dependent on the initial conditions of the three species.

Forcing (recursion theory)ExtinctionStatistical Mechanics (cond-mat.stat-mech)Stochastic resonanceGeneral MathematicsLotka–Volterra equationsPopulations and Evolution (q-bio.PE)Time evolutionFOS: Physical sciencesGeneral Physics and AstronomyStatistical mechanicsNoiseControl theoryFOS: Biological sciencesSpatial ecologyQuantitative Biology::Populations and EvolutionStatistical physicsQuantitative Biology - Populations and EvolutionCondensed Matter - Statistical MechanicsMathematics
researchProduct