0000000001113683

AUTHOR

Janne Juntunen

showing 5 related works from this author

Dispersion of vendace eggs and larvae around potential nursery areas reveals their reproductive strategy

2019

Depending on their reproductive strategy, different fish species aim to aggregate or disperse eggs and larvae in their reproductive habitat. Many pelagic species disperse their eggs widely around the potential nursery areas. Larval dispersion or aggregation affects population sub‐structuring, which has important implications in fisheries management and conservation of the natural spatial diversity in populations. The dispersion of larval vendace (Coregonus albula) was quantified in two oligotrophic Finnish lakes, and effects of density and environmental variables on the inter‐annual variation in the larval distribution were examined by analysing spatial abundance data from the lakes from 19…

0106 biological sciencesmuikkuPopulationspawningAquatic ScienceBiologyrisk spreading010603 evolutionary biology01 natural sciencesAbundance (ecology)Littoral zoneCoregonus albulahydrodynamic modeleducationeducation.field_of_studyLarvalisääntymiskäyttäytyminenEcologyHatching010604 marine biology & hydrobiologyfungikalat (eläimet)Pelagic zonebiology.organism_classificationkutufish larvaenursery areasHabitatta1181leviäminenFreshwater Biology
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Diffusion between evolving interfaces

2010

Diffusion in an evolving environment is studied by continuos-time Monte Carlo simulations. Diffusion is modelled by continuos-time random walkers on a lattice, in a dynamic environment provided by bubbles between two one-dimensional interfaces driven symmetrically towards each other. For one-dimensional random walkers constrained by the interfaces, the bubble size distribution domi- nates diffusion. For two-dimensional random walkers, it is also controlled by the topography and dynamics of the interfaces. The results of the one-dimensional case are recovered in the limit where the interfaces are strongly driven. Even with simple hard-core repulsion between the interfaces and the particles, …

PhysicsModels StatisticalSurface PropertiesPhysicsBubbleMonte Carlo methodFOS: Physical sciencesCondensed Matter - Soft Condensed MatterModels TheoreticalCondensed Matter PhysicsDiffusionLattice (order)Materials TestingSoft Condensed Matter (cond-mat.soft)Computer SimulationGeneral Materials ScienceStatistical physicsMonte Carlo MethodAlgorithms
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Roughness of two nonintersecting one-dimensional interfaces.

2006

The dynamics of two spatially discrete one-dimensional single-step model interfaces with a noncrossing constraint is studied in both nonsymmetric propagating and symmetric relaxing cases. We consider possible scaling scenarios and study a few special cases by using continuous-time Monte Carlo simulations. The roughness of the interfaces is observed to be nonmonotonic as a function of time, and in the stationary state it is nonmonotonic also as a function of the strength of the effective force driving the interfaces against each other. This is related on the one hand to the reduction of the available configuration space and on the other hand to the ability of the interfaces to conform to eac…

Stochastic processMonte Carlo methodStatistical physicsFunction (mathematics)Configuration spaceSurface finishReduction (mathematics)ScalingStationary stateMathematicsPhysical review. E, Statistical, nonlinear, and soft matter physics
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Finite-size effects in dynamics of zero-range processes

2010

The finite-size effects prominent in zero-range processes exhibiting a condensation transition are studied by using continuous-time Monte Carlo simulations. We observe that, well above the thermodynamic critical point, both static and dynamic properties display fluid-like behavior up to a density {\rho}c (L), which is the finite-size counterpart of the critical density {\rho}c = {\rho}c (L \rightarrow \infty). We determine this density from the cross-over behavior of the average size of the largest cluster. We then show that several dynamical characteristics undergo a qualitative change at this density. In particular, the size distribution of the largest cluster at the moment of relocation,…

Statistical Mechanics (cond-mat.stat-mech)Stochastic processCrossoverMonte Carlo methodFOS: Physical sciencesMonihiukkasmallitfaasimuutoksetMany-particle modelsphase transitionsAverage sizeCritical point (thermodynamics)transport theorykuljetusteoriaStatistical physicsCondensed Matter - Statistical MechanicsMathematicsstokastiset prosessit
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Diffusion in evolving environment : Monte Carlo studies of discrete models

2011

diffuusioMonte Carlo -menetelmätdynamiikka
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