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Stability and Complexity in Model Ecosystems

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Preface vii Preface to the Second Edition Biology Edition 1.
Abstract
Preface vii Preface to the Second Edition Biology Edition 1. Intoduction 3 2. Mathematical Models and Stability 13 3. Stability versus Complexity in Multispecies Models 4. Models with Few Species: Limit Cycles and Time Delays 79 5. Randomly Fluctuating Environments 109 6. Niche Overlap and Limiting Similarity 139 7. Speculations 172 Appendices 187 Afterthoughts for the Second Edition 211 Bibliography to Afterthoghts 234 Bibliography 241 Author Index 259 Subject Index 263

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The dynamics of a grassland ecosystem: botanical equilibrium in the park grass experiment

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Uncertainty and variability in demography and population growth: a hierarchical approach

TL;DR: A hierarchical approach is adapted to the problem of estimating population growth rates and their uncertainties when individuals vary and that variability cannot be assigned to specific causes, which shows that population growth models that rely on standard propagation of estimation error but ignore variability among individuals can misrepresent uncertainties in ways that erode credibility.
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Indirect Mutualism: Variations on a Theme by Stephen Levine

TL;DR: This paper attempts to extend the work of Levine (1976) in the context of the basic summary provided by Vandermeer and Boucher (1978), thereby providing a theoretical framework for the concept of "indirect mutualism" and suggesting that this form of interaction is likely to be extremely important in community organization, at least at some trophic levels.
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Generation time and temporal scaling of bird population dynamics.

TL;DR: Both the strength of total density dependence in the life history and the magnitude of environmental stochasticity, including transient fluctuations in age structure, increase with generation time, indicating that the relationships between demographic and life-history traits in birds translate into distinct population dynamical patterns that are apparent only on a scale of generations.
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Antagonistic coevolution over productivity gradients.

TL;DR: A quantitative coevolutionary model for a predator‐prey interaction is developed and predicts that generalist strains dominate in productive areas of the prey, whereas specialists prevail in marginal habitats.