Multi‐scale regulated plant community dynamics: mechanisms and implications

Szabó, Péter; Meszéna, Géza

doi:10.1111/j.0030-1299.2007.15170.x

Cited by 8 publications

(3 citation statements)

References 44 publications

(44 reference statements)

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“…Several single-resource models have considered analogous situations where competitors (animals or plants) of different effective sizes are able to coexist as a result of differential abilities to preferentially experience higher quality patches (Abrams & Wilson 2004;Namba & Hashimoto 2004) or to perceive (Szabo & Meszena 2006a) or use (Ritchie & Olff 1999) resources at different scales. From a multiple-resource perspective, models have explored how exploitative competition might be affected by community-wide changes in organism size ( Tilman & Pacala 1993) or dispersal ability (Moquet et al 2006), by differences between resources in the scale at which feedback occurs on them (Szabo & Meszena 2006b), or differences between competitors in whether each resource is perceived to occur together versus apart (Chase & Leibold 2003, pp. 81-82).…”

Section: Introductionmentioning

confidence: 99%

Competition among plant species that interact with their environment at different spatial scales

2008

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Clonal plants that are physiologically integrated might perceive and interact with their environment at a coarser resolution than smaller, non-clonal competitors. We develop models to explore the implications of such scale asymmetries when species compete for multiple depletable resources that are heterogeneously distributed in space across two patches. Species are either 'non-integrators', whose growth in each patch depends on resource levels in that patch alone, or 'integrators', whose growth is equal between patches and depends on average resource levels across patches. Integration carried both benefits and costs. It tended to be advantageous in poorer patches, where the integrators drew resources down further than the nonintegrators (more easily excluding competitors) and might persist by using resources from richer adjacent patches. Integration tended to be disadvantageous in richer patches, where integrators did not draw resources down as far (creating an opportunity for competitors) and could be excluded due to the cost of supporting growth in poorer adjacent patches. Complementarity between patches (each rich in a separate resource) favoured integrators. Integration created new opportunities for local coexistence, and for delayed susceptibility of patches to invasion, but eliminated some opportunities for regional coexistence. Implications for the interpretations of species' zero net growth isoclines and R Ã s are also discussed.

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Section: Introductionmentioning

confidence: 99%

Competition among plant species that interact with their environment at different spatial scales

2008

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“…Our interest here is to apply these concepts for spatially distributed populations. If the environment consists of different patches with local resource limitation (e.g., the resources do not diffuse freely between the habitats, see also Szabó and Meszéna 2007), the same resource in the different patches behaves as different regulating factors. Is this way, the notion of the regulating variables unifies the cases of ''single patch, two resources'' and ''two patches, one resource''.…”

Section: Background: Coexistence and Niche Segregationmentioning

confidence: 99%

Two-patch model of spatial niche segregation

Szilágyi

Meszéna

2007

Evol Ecol

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Spatial niche segregation between two habitats and the related adaptive dynamics are investigated. Independent population regulations operate in the two patches by a single resource in each. The populations migrate between the habitats with a constant rate. In line with a general mathematical concept published elsewhere, the niche of a species is described by the measures of the two-way interactions between the species and the resources. Increasing migration rate tends to equalize the population sizes between the habitats and diminish the dependence of the niches on the environmental tolerances of the species. In line with the expectations, when two species coexist, their realized niches are more segregated than their fundamental ones. We demonstrate that robust coexistence requires sufficient niche segregation. That is, the parameter range that allows coexistence of the two species shrinks to nil when the niche-differences between the species disappear. In turn, niche segregation requires separation of tolerances and sufficiently low migration rate. For the evolutionary study we assume a continuous, clonally inherited character that has different optima at the two patches. Evolution of this trait may end up in an intermediate ''generalist'' optimum, or it can branch and leads to a dimorphic population. The condition of the latter outcome is in line with the conditions that allow niche segregation: the patches have to be sufficiently different and the migration has to be sufficiently low.

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“…In a heterogeneous environment, concentrations of the same resources at different locations may behave as different regulating variables, allowing coexistence through spatial segregation (Levin, 1974, see Szabó andMeszéna, 2007 for the consequences of local vs. non-local operation of population regulation). This way, the notion of regulating variables plays the role of the unifying concept in the case a functional and habitat type niche segregation.…”

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confidence: 99%

Limiting similarity and niche theory for structured populations

Szilágyi

Meszéna

2009

Journal of Theoretical Biology

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We develop the theory of limiting similarity and niche for structured populations with finite number of individual states (i-state). In line with a previously published theory for unstructured populations, the niche of a species is specified by the impact and sensitivity niche vectors. They describe the population's impact on and sensitivity towards the variables involved in the population regulation. Robust coexistence requires sufficient segregation of the impact, as well as of the sensitivity niche vectors. Connection between the population-level impact and sensitivity and the impact/sensitivity of the specific i-states is developed. Each i-state contributes to the impact of the population proportional to its frequency in the population. Sensitivity of the population is composed of the sensitivity of the rates of demographic transitions, weighted by the frequency and by the reproductive value of the initial and final i-states of the transition, respectively. Coexistence in a multi-patch environment is studied. This analysis is interpreted as spatial niche segregation.

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Multi‐scale regulated plant community dynamics: mechanisms and implications

Cited by 8 publications

References 44 publications

Competition among plant species that interact with their environment at different spatial scales

Competition among plant species that interact with their environment at different spatial scales

Two-patch model of spatial niche segregation

Limiting similarity and niche theory for structured populations

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