Population Ecology Edited by Christopher H. Eliot (Hofstra University)

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  1. Thomas R. Alley (1985). Organism-Environment Mutuality Epistemics, and the Concept of an Ecological Niche. Synthese 65 (3):411 - 444.
    The concept of an ecological niche (econiche) has been used in a variety of ways, some of which are incompatible with a relational or functional interpretation of the term. This essay seeks to standardize usage by limiting the concept to functional relations between organisms and their surroundings, and to revise the concept to include epistemic relations. For most organisms, epistemics are a vital aspect of their functional relationships to their surroundings and, hence, a major determinant of their econiche. Rejecting the (...)
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  2. Mark Colyvan & Lev R. Ginzburg (2003). The Galilean Turn in Population Ecology. Biology and Philosophy 18 (3).
    The standard mathematical models in population ecology assume that a population's growth rate is a function of its environment. In this paper we investigate an alternative proposal according to which the rate of change of the growth rate is a function of the environment and of environmental change. We focus on the philosophical issues involved in such a fundamental shift in theoretical assumptions, as well as on the explanations the two theories offer for some of (...)
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  3. Kim Cuddington (2001). The “Balance of Nature” Metaphor and Equilibrium in Population Ecology. Biology and Philosophy 16 (4).
    I claim that the balance of nature metaphoris shorthand for a paradigmatic view of natureas a beneficent force. I trace the historicalorigins of this concept and demonstrate that itoperates today in the discipline of populationecology. Although it might be suspected thatthis metaphor is a pre-theoretic description ofthe more precisely defined notion ofequilibrium, I demonstrate that balance ofnature has constricted the meaning ofmathematical equilibrium in population ecology.As well as influencing the meaning ofequilibrium, the metaphor has also loaded themathematical term with values.Environmentalists (...)
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  4. John M. Drake (2004). Lande, R., S. Engen and B.-E. Sæther (2003). Stochastic Population Dynamics in Ecology and Conservation. Acta Biotheoretica 52 (3).
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  5. John Matthewson (2011). Trade-Offs in Model-Building: A More Target-Oriented Approach. Studies in History and Philosophy of Science 42 (2):324-333.
    In his 1966 paper "The Strategy of model-building in Population Biology", Richard Levins argues that no single model in population biology can be maximally realistic, precise and general at the same time. This is because these desirable model properties trade-off against one another. Recently, philosophers have developed Levins' claims, arguing that trade-offs between these desiderata are generated by practical limitations on scientists, or due to formal aspects of models and how they represent the world. However this project is not complete. (...)
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  6. Jay Odenbaugh, The “Structure” of Population Ecology: Philosophical Reflections on Unstructured and Structured Models.
    In 1974, John Maynard Smith wrote in his little book Models in Ecology, A theory of ecology must make statements about ecosystems as a whole, as well as about particular species at particular times, and it must make statements that are true for many species and not just for one… For the discovery of general ideas in ecology, therefore, different kinds of mathematical description, which may be called models, are called for. Whereas a good simulation should include as much detail (...)
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  7. Kent Peacock, Why Malthus Was Wrong.
    There are a lot of expressions of pessimism these days about whether we can save the environment — and thereby ourselves. Some of this pessimism is self-serving, but most of it is quite genuine. People look at the trends, and they despair — or else go into denial. And those who despair will almost invariably point to one factor above all others — the threat of overpopulation. No matter whether we recycle all our waste, switch entirely to non-polluting energy sources, (...)
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  8. Michael Strevens (2003). Bigger Than Chaos: Understanding Complexity Through Probability. Harvard University Press.
    In this book, Michael Strevens aims to explain how simplicity can coexist with, indeed be caused by, the tangled interconnections between a complex system's ...
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