Search results for "Quantitative Biology"

showing 10 items of 1025 documents

Analysing gene flow in heterogeneous landscapes: why and how to use genetic graphs?

2019

International audience; In heterogeneous landscapes, when species occupy discrete habitat patches, ecological connectivity is influenced by populations’ topology. Graph-theoretic methods constitute a relevant tool to reveal this topology and better analyse gene flow. Despite growing interest in genetic graphs, a better understanding of when and how to use them is lacking.To fill this gap, we simulated gene flow between 50 populations in different landscape configurations and constructed genetic graphs using various genetic distances and pruning (link selection) methods. We then compared metrics derived from these graphs to analogous metrics describing the topology and connectivity of the di…

ecological connectivity[SDE.BE] Environmental Sciences/Biodiversity and Ecologygraph theory[SHS.GEO] Humanities and Social Sciences/Geography[SHS.GEO]Humanities and Social Sciences/GeographyDispersal[SDE.BE]Environmental Sciences/Biodiversity and EcologyQuantitative Biology::GenomicsLandscape geneticsSimulation
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Squeezing of Quantum Noise of Motion in a Micromechanical Resonator

2015

A pair of conjugate observables, such as the quadrature amplitudes of harmonic motion, have fundamental fluctuations which are bound by the Heisenberg uncertainty relation. However, in a squeezed quantum state, fluctuations of a quantity can be reduced below the standard quantum limit, at the cost of increased fluctuations of the conjugate variable. Here we prepare a nearly macroscopic moving body, realized as a micromechanical resonator, in a squeezed quantum state. We obtain squeezing of one quadrature amplitude $1.1 \pm 0.4$ dB below the standard quantum limit, thus achieving a long-standing goal of obtaining motional squeezing in a macroscopic object.

educationta221squeezingGeneral Physics and AstronomyQuantum measurementMotion (geometry)FOS: Physical sciencesQuantitative Biology::Subcellular ProcessesResonatorMeasurement theoryVibrating membraneQuantum mechanicsmotionMesoscale and Nanoscale Physics (cond-mat.mes-hall)Physics::Chemical Physicsta218Physicsmicromechanical resonatorta214Condensed Matter - Mesoscale and Nanoscale Physicsta114Quantum limitPhysicsQuantum noisequantum noise16. Peace & justicenanomechanicsquantum physicsQuantum Physics (quant-ph)NanomechanicsPHYSICAL REVIEW LETTERS
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Age-Structured Human Population Dynamics

2006

ABSTRACT A von Foerster-McKendrick model to study age-structured human population dynamics is presented in this paper. Forecasts of population density (population per age unit) depending on ages are possible using this model. The model consists of a quasi-linear first order partial differential equation for the dynamics of population density per age-unit (except for the zero-age), a boundary condition for the births flow at zero-age, and an initial condition for the population density at the initial instant. A general solution independent of the particular human-system under study is obtained based on some hypotheses about the mathematical structure of its input variables. The model has bee…

education.field_of_studyAlgebra and Number TheorySociology and Political SciencePopulationFirst-order partial differential equationPopulation densityHuman population dynamicsFlow (mathematics)StatisticsQuantitative Biology::Populations and EvolutionInitial value problemBoundary value problemMathematical structureeducationSocial Sciences (miscellaneous)MathematicsDemographyThe Journal of Mathematical Sociology
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Nonlinear Relaxation in Population Dynamics

2001

We analyze the nonlinear relaxation of a complex ecosystem composed of many interacting species. The ecological system is described by generalized Lotka-Volterra equations with a multiplicative noise. The transient dynamics is studied in the framework of the mean field theory and with random interaction between the species. We focus on the statistical properties of the asymptotic behaviour of the time integral of the i-th population and on the distribution of the population and of the local field.

education.field_of_studyDistribution (number theory)Statistical Mechanics (cond-mat.stat-mech)Applied MathematicsPopulationFOS: Physical sciencesDisordered Systems and Neural Networks (cond-mat.dis-nn)Condensed Matter - Disordered Systems and Neural NetworksMultiplicative noiseQuantitative BiologyNonlinear systemMean field theoryModeling and SimulationFOS: Biological sciencesQuantitative Biology::Populations and EvolutionGeometry and TopologyRelaxation (approximation)Statistical physicseducationFocus (optics)Local fieldCondensed Matter - Statistical MechanicsQuantitative Biology (q-bio)Mathematics
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Population processes under the influence of disasters occurring independently of population size

1989

Markov branching processes and in particular birth-and-death processes are considered under the influence of disasters that arrive independently of the present population size. For these processes we derive an integral equation involving a shifted and rescaled argument. The main emphasis, however, is on the (random) probability of extinction. Its distribution density satisfies an equation which can be solved numerically at least up to a multiplicative constant. In an example it is also found by simulation.

education.field_of_studyExtinctionMarkov chainApplied MathematicsPopulation sizePopulationMarkov processAgricultural and Biological Sciences (miscellaneous)Integral equationBirth–death processsymbols.namesakeModeling and SimulationStatisticssymbolsQuantitative Biology::Populations and EvolutionStatistical physicsCatastrophe theoryeducationMathematicsJournal of Mathematical Biology
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The use of Markovian metapopulation models: Reducing the dimensionality of transition matrices by self-organizing Kohonen networks

2006

Abstract Markovian population models are used in conservation biology to find an accurate estimate of a population's extinction probability. Such models require handling of large transition matrices and calculations are thus extremely time-consuming when large populations have to be studied. To accomplish these problems, some authors have suggested to group together several states/sizes of the population. Unfortunately, this so-called binning frequently results in errors in estimates obtained. The main problem with binning is that it assumes that grouped states behave nearly identical with respect to the underlying stochastic population process and that so far binning methods implicitly vio…

education.field_of_studyExtinctionMarkov chainExtinction probabilityEcological ModelingPopulationMonte Carlo methodMarkov processPopulation processsymbols.namesakePopulation modelStatisticssymbolsQuantitative Biology::Populations and EvolutionStatistical physicseducationMathematicsEcological Modelling
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Noise in ecosystems: a short review

2004

Noise, through its interaction with the nonlinearity of the living systems, can give rise to counter-intuitive phenomena such as stochastic resonance, noise-delayed extinction, temporal oscillations, and spatial patterns. In this paper we briefly review the noise-induced effects in three different ecosystems: (i) two competing species; (ii) three interacting species, one predator and two preys, and (iii) N-interacting species. The transient dynamics of these ecosystems are analyzed through generalized Lotka-Volterra equations in the presence of multiplicative noise, which models the interaction between the species and the environment. The interaction parameter between the species is random …

education.field_of_studyExtinctionStochastic resonanceApplied MathematicsPopulationPopulations and Evolution (q-bio.PE)Pattern formationGeneral MedicineFunction (mathematics)Noise (electronics)Multiplicative noiseEcosystemsComputational MathematicsModeling and SimulationFOS: Biological sciencesStatisticsSpatial ecologyQuantitative Biology::Populations and EvolutionStatistical physicsGeneral Agricultural and Biological ScienceseducationNoiseQuantitative Biology - Populations and EvolutionMathematics
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Time evolution of non-lethal infectious diseases: a semi-continuous approach.

2005

A model describing the dynamics related to the spreading of non-lethal infectious diseases in a fixed-size population is proposed. The model consists of a non-linear delay-differential equation describing the time evolution of the increment in the number of infectious individuals and depends upon a limited number of parameters. Predictions are in good qualitative agreement with data on influenza.

education.field_of_studyPopulation87.23.Cc Population dynamics and ecological pattern formationPopulations and Evolution (q-bio.PE)Time evolutionCondensed Matter PhysicsQuantitative Biology - Quantitative MethodsElectronic Optical and Magnetic MaterialsFOS: Biological sciencesInterdisciplinary PhysicsQuantitative Biology::Populations and EvolutionStatistical physicseducationQuantitative Biology - Populations and EvolutionQuantitative Methods (q-bio.QM)MathematicsThe European physical journal. B
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A Side-by-Side Single Sex Age-Structured Human Population Dynamic Model: Exact Solution and Model Validation

2008

A side-by-side single sex age-structured population dynamic model is presented in this paper. The model consists of two coupled von Foerster-McKendrick-type quasi-linear partial differential equations, two initial conditions, and two boundary conditions. The state variables of the model are male and female population densities. The solutions of these partial differential equations provide explicit time and age dependence of the variables. The initial conditions define the male and female population densities at the initial time, while the boundary conditions compute the male and female births at zero-age by using fertility rates. The assumptions of the nontime-dependence of the death and fe…

education.field_of_studyState variableAlgebra and Number TheoryPartial differential equationSociology and Political ScienceTotal fertility ratePopulationExact solutions in general relativityFactorizationEconometricsQuantitative Biology::Populations and EvolutionApplied mathematicsBoundary value problemMathematical structureeducationSocial Sciences (miscellaneous)MathematicsThe Journal of Mathematical Sociology
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Distance decay 2.0. A global synthesis of taxonomic and functional turnover in ecological communities

2022

Caio Graco-Roza was funded by the Coordination for the Improvement of Higher Education Personnel (CAPES), the Carlos Chagas Filho Research Support Foundation (FAPERJ) and the Ella and Georg Erhnrooth Foundation; Jan Altman by research grants INTER-EXCELLENCE LTAUSA19137 provided by Czech Ministry of Education, Youth and Sports, 20-05840Y of the Czech Science Foundation, and long-term research development project no. RVO 67985939 of the Czech Academy of Sciences; Otso Ovaskainen was funded by Academy of Finland (grant no. 309581), Jane and Aatos Erkko Foundation, Research Council of Norway through its Centres of Excellence Funding Scheme (223257), and the European Research Council (ERC) unde…

environmental gradientASSEMBLY PROCESSESlatitudinal gradient333.7: Landflächen NaturerholungsgebieteTraitaccessβ-diversityDRIVERSQuantitative Biology::Populations and Evolutionspatial distancebeta-diversity biogeography environmental gradient spatial distance traitSCALE DEPENDENCYCentro Oceanográfico de GijónbiodiversityGlobal and Planetary ChangeEcologytraitdriverseliöyhteisötekologiaENVIRONMENTAL-CONDITIONSBiogeographySIMILARITY1181 Ecology evolutionary biologySpatial distance1171 Geosciencesbeta-diversityβ-diversity; biogeography; environmental gradient; spatial distance; traitscale dependencyβ- diversitybeta-diversity patternsβ‐diversityeliömaantiede4111 Agronomyβ-diversity biogeography environmental gradient spatial distance traitspecies traitsbeta-diversity; biogeography; environmental gradient; spatial distance; traitdistributionenvironmental-conditionsEnvironmental gradientassembly processesMedio Marinosimilarity1172 Environmental sciencesEcology Evolution Behavior and SystematicsbiogeographybiodiversiteettiLATITUDINAL GRADIENTbiogeography; environmental gradient; spatial distance; trait; β-diversityresponsesBIODIVERSITYHigh Energy Physics::ExperimentBETA-DIVERSITY PATTERNSSPECIES TRAITSRESPONSES
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