Evolutionary stability of coexistence due to the storage effect in a two-season model

Miller, Elizabeth T.; Klausmeier, Christopher A.

doi:10.1007/s12080-016-0314-z

Cited by 42 publications

(57 citation statements)

References 47 publications

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“…Stochastic variation is common, can support coexistence (Scranton & Vasseur ), and can enhance extinction risks in auto‐correlated environments. Another consideration is our use of the SSD approximation, which assumes that environmental change is slow relative to growth, death, and competitive exclusion rates (Klausmeier ; Klausmeier & Litchman ; Kremer & Klausmeier ; Miller & Klausmeier ). This is a reasonable assertion for many systems (especially microbes and insects), although not universally true.…”

Section: Discussionmentioning

confidence: 99%

“…; Kisdi & Geritz ; Litchman et al . ; Kremer & Klausmeier ; Miller & Klausmeier ; but Geritz et al . and Jansen & Mulder reach six to eight species).…”

Section: The Modelmentioning

confidence: 99%

“…Other studies examine the conditions under which coexistence mechanisms can evolve (Snyder & Adler ; Abrams et al . ; Kremer & Klausmeier ; Miller & Klausmeier ).…”

Section: Introductionmentioning

confidence: 99%

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Species packing in eco‐evolutionary models of seasonally fluctuating environments

Kremer

Klausmeier

2017

Ecology Letters

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As ecology and evolution become ever more entwined, many areas of ecological theory are being re-examined. Eco-evolutionary analyses of classic coexistence mechanisms are yielding new insights into the structure and stability of communities. We examine fluctuation-dependent coexistence models, identifying communities that are both ecologically and evolutionarily stable. Members of these communities possess distinct environmental preferences, revealing widespread patterns of limiting similarity. This regularity leads to consistent changes in the structure of communities across fluctuation regimes. However, at high amplitudes, subtle differences in the form of fluctuations dramatically affect the collapse of communities. We also show that identical fluctuations can support multiple evolutionarily stable communities - a novel example of alternative stable states within eco-evolutionary systems. Consequently, the configuration of communities will depend on historical contingencies, including details of the adaptive process. Integrating evolution into the study of coexistence offers new insights, while enriching our understanding of ecology.

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Section: Discussionmentioning

confidence: 99%

“…; Kisdi & Geritz ; Litchman et al . ; Kremer & Klausmeier ; Miller & Klausmeier ; but Geritz et al . and Jansen & Mulder reach six to eight species).…”

Section: The Modelmentioning

confidence: 99%

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Species packing in eco‐evolutionary models of seasonally fluctuating environments

Kremer

Klausmeier

2017

Ecology Letters

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“…Real‐world examples include annual plants having different germination rates that depend on precipitation (Angert et al. , Holt and Chesson ), phytoplankton with different growth rates depending on temperature (Eppley ), and seedling recruitment depending in part on temperature (Grubb ), each of which have been shown to produce storage effects (Chesson , Miller and Klausmeier ). Appendix presents a simple example for a model of coexistence via the storage effect.…”

Section: Interpreting the Terms Of The Partitioned Growth Ratementioning

confidence: 99%

“…Imagine that

C_{j}

is determined by the availability of resources, and

E_{j}

represents an organism's ability to take up resources. In this case,

cov ({scriptE}_{j}, {scriptC}_{j})

will usually be negative for residents, because there will be resource shortages when they are most able to capture resources (Miller and Klausmeier ). For example, if many plants germinate, free space and water will be scarce; if plankton grow rapidly, they will likely consume the available nitrogen, or block the light.…”

Section: Interpreting the Terms Of The Partitioned Growth Ratementioning

confidence: 99%

Chesson's coexistence theory

Barabás

D’Andrea

Stump

2018

Ecological Monographs

297

528

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We give a comprehensive review of Chesson's coexistence theory, summarizing, for the first time, all its fundamental details in one single document. Our goal is for both theoretical and empirical ecologists to be able to use the theory to interpret their findings, and to get a precise sense of the limits of its applicability. To this end, we introduce an explicit handling of limiting factors, and a new way of defining the scaling factors that partition invasion growth rates into the different mechanisms contributing to coexistence. We explain terminology such as relative nonlinearity, storage effect, and growth‐density covariance, both in a formal setting and through their biological interpretation. We review the theory's applications and contributions to our current understanding of species coexistence. While the theory is very general, it is not well suited to all problems, so we carefully point out its limitations. Finally, we critique the paradigm of decomposing invasion growth rates into stabilizing and equalizing components: we argue that these concepts are useful when used judiciously, but have often been employed in an overly simplified way to justify false claims.

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Differential genotype response to increased resource abundance helps explain parallel evolution of Daphnia populations in the wild

Lyberger

Schoener

2023

Ecology and Evolution

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s idea of "replaying life's tape", has begun to evaluate whether evolution follows a deterministic route in response to some environmental pressure (reviewed in Blount et al., 2018;Lobkovsky & Koonin, 2012;Losos, 2017). The question remains: does the deterministic force of selection produce repeatable evolutionary trajectories or does chance dominate? Previous experiments, typically limited to microbes in laboratory settings and highly controlled

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Evolutionary stability of coexistence due to the storage effect in a two-season model

Cited by 42 publications

References 47 publications

Species packing in eco‐evolutionary models of seasonally fluctuating environments

Species packing in eco‐evolutionary models of seasonally fluctuating environments

Chesson's coexistence theory

Differential genotype response to increased resource abundance helps explain parallel evolution of Daphnia populations in the wild

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