Effects of Patch Number and Dispersal Patterns on Population Dynamics and Synchrony

Ylikarjula, Janica; Alaja, Susanna; Laakso, Jouni; Tesar, David

doi:10.1006/jtbi.2000.2181

Cited by 84 publications

(53 citation statements)

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“…In addition to the clear distinction of taxonomic groups as well as the life-histories and ecosystems analyzed, all of which produce intrinsic ecological differences, various other characteristics may explain the variation in the degree of spatial synchrony detected. Among these characteristics, the following two may be considered important: number of local populations (Ylikarjula et al, 2000) and both temporal (Thompson & Page, 1989) and spatial (Hanski & Woiwod, 1993) scales analyzed. In the present study, the number of locations is comparable, or even greater, than those considered in similar research (e.g., Ranta et al, 1997;Shanker & Sukumar, 1999).…”

Section: Discussionmentioning

confidence: 99%

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Spatial synchrony of a highly endemic fish Assemblage (Segredo Reservoir, Iguaçu River, Paraná State, Brazil)

2005

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In this study, patterns of spatial synchrony in population fluctuations (cross-correlation) of an endemic fish assemblage of a Neotropical reservoir (Segredo Reservoir, Iguaçu River, Paraná State, Brazil) were reported. First, the level of population synchrony for 20 species was estimated. Second, population synchrony was correlated, using the Mantel test, with geographical distances among sites (n = 11) and also environmental synchrony (temperature). Nine species presented significant correlations between spatial synchrony and geographic distances (Astyanax sp. b, Astyanax sp. c, Pimelodus sp., Hoplias malabaricus, Crenicichla iguassuensis, Hypostomus derbyi, Hypostomus myersi, Rhamdia branneri, and R. voulezi). Considering the ecology of the species and the significant relationship between population and environmental synchronies, it seems that environmental stochasticity is the most plausible hypothesis in explaining the observed synchrony patterns.Key words: spatial synchrony, fish assemblage, reservoirs. RESUMOSincronia espacial de uma assembléia de peixes endêmica (reservatório de Segredo, rio Iguaçu, Paraná, Brasil)Neste estudo, os padrões de sincronia espacial de uma assembléia de peixes endêmica em um reservatório neotropical (reservatório de Segredo, rio Iguaçu, Paraná, Brasil) foram descritos. Primeiro, foi estimado o nível de sincronia (correlação entre as densidades ao longo do tempo) para 20 espécies. Segundo, a matriz de sincronia populacional foi correlacionada, utilizando o teste de Mantel, com a distância geográfica entre os locais (n = 11) e com a sincronia ambiental (temperatura da água). Nove espécies apresentaram correlações significativas entre sincronia espacial e distância geográfica (Astyanax sp. b, Astyanax sp. c, Pimelodus sp., Hoplias malabaricus, Crenicichla iguassuensis, Hypostomus derbyi, Hypostomus myersi, Rhamdia branneri e R. voulezi). Considerando a ecologia das espécies e a relação significativa entre a sincronia populacional e a sincronia ambiental, é possível inferir que estocasticidade ambiental é a hipótese mais plausível para explicar os padrões de sincronia detectados.Palavras-chave: sincronia espacial, assembléia de peixes, reservatórios.

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Section: Discussionmentioning

confidence: 99%

“…Inspired by the seminal work of Elton & Nicholson (1942) and Moran (1953), the temporal dynamics in number of individuals from spatially distributed subpopulations are currently one of the main themes investigated by ecologists (Kendal et al, 2000;Ylikarjula et al, 2000;Grenouillet et al, 2001).…”

Section: Introductionmentioning

confidence: 99%

Spatial synchrony of a highly endemic fish Assemblage (Segredo Reservoir, Iguaçu River, Paraná State, Brazil)

2005

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“…Thus both emigration and immigration are conditional ; compared to similar models with more simplistic dispersal rules, dispersal was observed to have a much greater stabilising effect, even when isolated populations were intrinsically unstable (Ruxton & Rohani, 1999). Other models have shown how the specific form of the relationship between dispersal and density are important in predicting the consequences for stability (Amarasekare, 1998 ;Ylikarjula et al, 2000).…”

Section: Dispersal and Population Dynamicsmentioning

confidence: 97%

Causes and consequences of animal dispersal strategies: relating individual behaviour to spatial dynamics

2005

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Knowledge of the ecological and evolutionary causes of dispersal can be crucial in understanding the behaviour of spatially structured populations, and predicting how species respond to environmental change. Despite the focus of much theoretical research, simplistic assumptions regarding the dispersal process are still made. Dispersal is usually regarded as an unconditional process although in many cases fitness gains of dispersal are dependent on environmental factors and individual state. Condition-dependent dispersal strategies will often be superior to unconditional, fixed strategies. In addition, dispersal is often collapsed into a single parameter, despite it being a process composed of three interdependent stages : emigration, inter-patch movement and immigration, each of which may display different condition dependencies. Empirical studies have investigated correlates of these stages, emigration in particular, providing evidence for the prevalence of conditional dispersal strategies. Ill-defined use of the term ' dispersal', for movement across many different spatial scales, further hinders making general conclusions and relating movement correlates to consequences at the population level. Logistical difficulties preclude a detailed study of dispersal for many species, however incorporating unrealistic dispersal assumptions in spatial population models may yield inaccurate and costly predictions. Further studies are necessary to explore the importance of incorporating specific condition-dependent dispersal strategies for evolutionary and population dynamic predictions.

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“…This was first realised in ecological applications [12,13,45], and density-dependent dispersal is now a common feature of spatial modelling in ecology. This includes models that are spatially discrete [33,53] and of integrodifference equation type [51,23], as well as reaction-diffusion equations (e.g. [9,31,52]).…”

Section: Nonlinear Diffusion In Biological Modelsmentioning

confidence: 99%

On the Form of Smooth-Front Travelling Waves in a Reaction-Diffusion Equation with Degenerate Nonlinear Diffusion

Sherratt

2010

Math. Model. Nat. Phenom.

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Abstract. Reaction-diffusion equations with degenerate nonlinear diffusion are in widespread use as models of biological phenomena. This paper begins with a survey of applications to ecology, cell biology and bacterial colony patterns. The author then reviews mathematical results on the existence of travelling wave front solutions of these equations, and their generation from given initial data. A detailed study is then presented of the form of smooth-front waves with speeds close to that of the (unique) sharp-front solution, for the particular equationUsing singular perturbation theory, the author derives an asymptotic approximation to the wave, which gives valuable information about the structure of smooth-front solutions. The approximation compares well with numerical results.Key words: nonlinear diffusion, travelling waves, sharp front, smooth front AMS subject classification: 35K57, 35K65, 92B05 Nonlinear Diffusion in Biological ModelsThe first applications of reaction-diffusion equations in biology [8,48] used standard linear diffusion to model population spread. However, it is now clear that in a number of biological contexts, motility varies with population density, requiring nonlinear diffusion terms. This was first realised in ecological applications [12,13,45], and density-dependent dispersal is now a common feature *

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Effects of Patch Number and Dispersal Patterns on Population Dynamics and Synchrony

Cited by 84 publications

References 50 publications

Spatial synchrony of a highly endemic fish Assemblage (Segredo Reservoir, Iguaçu River, Paraná State, Brazil)

Spatial synchrony of a highly endemic fish Assemblage (Segredo Reservoir, Iguaçu River, Paraná State, Brazil)

Causes and consequences of animal dispersal strategies: relating individual behaviour to spatial dynamics

On the Form of Smooth-Front Travelling Waves in a Reaction-Diffusion Equation with Degenerate Nonlinear Diffusion

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