2017
DOI: 10.1111/ele.12807
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Carrying capacity in a heterogeneous environment with habitat connectivity

Abstract: A large body of theory predicts that populations diffusing in heterogeneous environments reach higher total size than if non-diffusing, and, paradoxically, higher size than in a corresponding homogeneous environment. However, this theory and its assumptions have not been rigorously tested. Here, we extended previous theory to include exploitable resources, proving qualitatively novel results, which we tested experimentally using spatially diffusing laboratory populations of yeast. Consistent with previous theo… Show more

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Cited by 95 publications
(74 citation statements)
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References 29 publications
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“…Similarly, a hydropeaking mitigation project [19][20][21] and the change of dam operation was investigated with respect to the ecological requirements downstream from the dam [8,22,23]. Physical habitat simulations are heavily dependent on the given discharge, especially on a regulated river by an upstream dam.…”
Section: Introductionmentioning
confidence: 99%
“…Similarly, a hydropeaking mitigation project [19][20][21] and the change of dam operation was investigated with respect to the ecological requirements downstream from the dam [8,22,23]. Physical habitat simulations are heavily dependent on the given discharge, especially on a regulated river by an upstream dam.…”
Section: Introductionmentioning
confidence: 99%
“…This approach is suitable for describing a population in space. It will be shown there that this approach has the advantage of avoiding some of the counter-intuitive results mentioned above for spatial models involving the logistic model to describe growth [36,37].…”
Section: Analysis and Experiment: Consumer-resource Chemostat Modelmentioning
confidence: 99%
“…This differs from the spatial logistic model studied earlier, in which the energy input at steady state is the product r(x)K(x), where r(x) and K(x) are separate variables. The model (21a,b), discretized as 12 patches in a one-dimensional row to facilitate analysis, was used by reference [36] in parallel with an experimental setup on yeast in which a growing yeast population could be manipulated to disperse. The purpose of the model and experiment was to examine the relationship between the size of a population and diffusing in a discretized version of this consumer-resource model with n patches in a one-dimensional line.…”
Section: Analysis and Experiment: Consumer-resource Chemostat Modelmentioning
confidence: 99%
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“…Such experiments are, however, necessary to infer the relative importance of evolutionary dynamics relative to the direct impact of the spatial setting (the level of environmental heterogeneity, variation in patch sizes, distance between patches; here-after referred to as spatial forcing). For instance, local population sizes are determined by local carrying capacities in heterogeneous metapopulations when connectivity is low, but with increased connectivity metapopulation size will be larger than the sum of local carrying capacities [24]. The total metapopulation size will therefore be determined by spatial forcing and the joint evolution of dispersal and local adaptation.…”
Section: Introductionmentioning
confidence: 99%