Jay Odenbaugh

Becoming Human by Jennifer Greenwood is one of the most thought-provoking books on emotion and its expression I have read. At its core, it attempts to provide an account of the development of full human emotionality and in so doing argues the emotions are “transcranial.” Emotions are radically realized outside our nervous systems and beyond our skin. As children, we are functionally integrated affectively with our mothers; so much so that in a sense our emotions are not ours alone. Regardless of whether one agrees with her radical claims, it is a must-read for those interested in emotion and expression. In order to appreciate the significance of this book, let me sketch its contents and raise a few criticisms.Many...

Ecological populations and communities are highly complex systems and our ability to understand these systems are limited. Thus, the mathematical models used to represent these systems are often highly idealized. In this dissertation. I examine in the context of theoretical ecology what mathematical models are, how these models are evaluated, and how models can explain the dynamics of these systems given their complexity and the idealizations introduced. ;In the first section, I argue that the semantic view of theories and models in its conservative and liberal forms is unacceptable. Models are neither related to the world through isomorphisms nor similarity as the semantic view requires. I argue that models are abstract, idealized structures which are related to systems by accurately representing them. ;In the second section, I consider how models are evaluated. First, I consider how different desiderata of model building can come into conflict. Richard Levins has argued that there is a necessary trade-off between the generality, realism, and precision of biological models. I argue that Levins is correct and respond to worries raised by Elliott Sober and Steven Orzack . Second, I examine Elisabeth Lloyd's account of confirmation of models in biology. I show that her account neglects how idealizations are discharged and I supply some of the details needed. Third, I argue that models are evaluated relative to various goals and can successfully achieve those goals even when they are representationally inaccurate or difficult to test. I provided an account of what the goals of model building in theoretical ecology are and show how they are achieved. ;In Section Three, I consider how idealized models can be explanatory. Many philosophers claim that a theory or model explains an event or regularity only if it is true . Yet, idealized models sometimes explain events and regularities. I argue that the notion of accurately representing phenomena is what matters and not truth. Hence, models are explanatory only if they accurately represent ecological systems in certain respects and in certain degrees

Some ecologists have argued that theoretical model building in population and community ecology has gone evidentially unconstrained. In the essay, I argue that "bottle experiments" offer ecological model building evidential constraints and illustrate this by considering work on chaotic models tested by the dynamics of flour beetles. Critics reply that these experiments are importantly unlike nonmanipulated natural systems and thus do not constitute genuine tests of the models. I conclude by considering two responses to this worry and a suggestion on how to move forward on this debate.

In this essay, I argue for four related claims. First, Richard Levins’ classic “The Strategy of Model Building in Population Biology” was a statement and defense of theoretical population biology growing out of collaborations between Robert MacArthur, Richard Lewontin, E. O. Wilson, and others. Second, I argue that the essay served as a response to the rise of systems ecology especially as pioneered by Kenneth Watt. Third, the arguments offered by Levins against systems ecology and in favor of his own methodological program are best construed as “pragmatic”. Fourth, I consider limitations of Levins’ arguments given contemporary population biology.

Foot , Hursthouse , and Thompson , along with other philosophers, have argued for a metaethical position, the natural goodness approach, that claims moral judgments are, or are on a par with, teleological claims made in the biological sciences. Specifically, an organism’s flourishing is characterized by how well they function as specified by the species to which they belong. In this essay, I first sketch the Neo-Aristotelian natural goodness approach. Second, I argue that critics who claim that this sort of approach is inconsistent with evolutionary biology due to its species essentialism are incorrect. Third, I contend that combining the natural goodness account of natural-historical judgments with our best account of natural normativity, the selected effects theory of function, leads to implausible moral judgments. This is so if selected effects function are understood in terms of evolution by natural selection, but also if they are characterized in terms of cultural evolution. Thus, I conclude that proponents of the natural goodness approach must either embrace non-naturalistic vitalism or troubling moral revisionism

Philosophers of the life sciences have devoted considerably more attention to evolutionary theory and genetics than to the various sub-disciplines of ecology, but recent work in the philosophy of ecology suggests reflects a growing interest in this area (Cooper 2003; Ginzburg and Colyvan 2004). However, philosophers of biology and ecology have focused almost entirely on conceptual and methodological issues in population and community ecology; conspicuously absent are foundational investigations in ecosystem ecology. This situation is regrettable. Ecosystem concepts play a central role in many branches of theoretical and applied ecology, and in environmental literature generally. Indeed, for some historians, the division of ecological theory into population-community and ecosystem research traditions, and the methodological and conceptual debates that have arisen between workers in these respective camps, is the distinguishing feature of 20th century ecological science (Hagen 1992). These include debates over, among others: reductionistic vs. holistic research methodologies; the existence and metaphysics of ecological “kinds”; the relationship between evolutionary mechanisms and ecosystem phenomena; and the nature and scope of ecological science and its relationship to other branches of natural and social science. Philosophers of ecology have written on all these topics, but almost exclusively from the theoretical perspective of population, community or evolutionary ecology. Philosophical attention to these issues from the perspective of ecosystem ecology is long overdue. It would be misleading to assert that philosophers in general have ignored ecosystem ecology. Environmental philosophers, including environmental ethicists so-called “radical” environmental philosophers (deep ecologists, social ecologists, ecofeminists, etc.), and policy theorists, have had a long-standing interest in ecosystem ecology (e.g. Callicott 1986; Cahen 1988; Warren and Cheney 1993; Westra 1994; Sagoff 1997; Fitzsimmons 1999)..

Ecologists attempt to understand the diversity of life with mathematical models. Often, mathematical models contain simplifying idealizations designed to cope with the blooming, buzzing confusion of the natural world. This strategy frequently issues in models whose predictions are inaccurate. Critics of theoretical ecology argue that only predictively accurate models are successful and contribute to the applied work of conservation biologists. Hence, they think that much of the mathematical work of ecologists is poor science. Against this view, I argue that model building is successful even when models are predictively inaccurate for at least three reasons: models allow scientists to explore the possible behaviors of ecological systems; models give scientists simplified means by which they can investigate more complex systems by determining how the more complex system deviates from the simpler model; and models give scientists conceptual frameworks through which they can conduct experiments and fieldwork. Critics often mistake the purposes of model building, and once we recognize this, we can see their complaints are unjustified. Even though models in ecology are not always accurate in their assumptions and predictions, they still contribute to successful science.

Sahotra Sarkar’s Biodiversity and Environmental Philosophy is a welcome addition to the fields of environmental philosophy and the philosophy of science. First, his book has a rigorous and careful discussion of why we should preserve biodiversity. This is all the more important since much of environmental ethics has rested on normative claims which are unclear in meaning, appear unjustified at best and unjustifiable at worst, and are politically ineffective. Second, Sarkar is at home in the science of conservation biology and offers important analyses of methodological issues in both ecology and conservation biology. Third, his book does not sustain what might be thought of as a “North American bias” but takes seriously environmental issues and perspectives from many different places like Australia and India. In this commentary, I raise worries and open questions that can be divided into four sections: (a) those concerning moral philosophy, (b) those concerning ecology and in particular whether we are in an extinction crisis, (c) how biodiversity is defined as a concept, and (d) what the aim and structure of conservation biology is. Ultimately, though my analysis is critical at some junctures, its purpose is to repay and hopefully improve on Sarkar’s rewarding analysis. Let me now turn from praise to criticism

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 as possible, a good model should include as little as possible. (1974.

In this essay I first provide an analysis of various community concepts. Second, I evaluate two of the most serious challenges to the existence of communities—gradient and paleoecological analysis respectively—arguing that, properly understood, neither threatens the existence of communities construed interactively. Finally, I apply the same interactive approach to ecosystem ecology, arguing that ecosystems may exist robustly as well. ‡I would like to thank to the participants at the Ecology and Environmental Ethics Conference at the University of Utah, the Philosophy of Ecology Conference hosted by the University of Brisbane, and those participants in a session at the Philosophy of Science Association Meeting in Vancouver, British Columbia for helpful discussions of this essay. Specific thanks go to Mark Colyvan, Greg Cooper, Steve Downes, Chris Elliott, Marc Ereshefsky, Paul Griffiths, Jesse Hendrikse, Greg Mikkelson, Anya Plutynski, Kate Ritchie, Sahotra Sarkar, Kim Sterelny, and Rob Wilson. †To contact the author, please write to: Department of Philosophy, Lewis and Clark College, 0615 SW Palatine Hill Road, Portland, OR 97219; e-mail: [email protected].

Philippa Foot and Rosalind Hursthouse, along with other philosophers, have argued for a metaethical position, the natural goodness approach, that claims moral evaluations are, or are on a par with, teleological claims made in the biological sciences. Specifically, an organism’s flourishing is characterized by how well they function as specified by the species to which they belong. In this essay, I first sketch the Neo-Aristotelian natural goodness approach. Second, I argue that critics who claim that this sort of approach is inconsistent with evolutionary biology due to its species essentialism are in- correct. Third, I consider the prospects of understanding ethical normativity as a species of biological teleology claiming that this would be incompatible with our considered moral judgments. Fourth, after presenting gene-culture coevolution theory, I argue that the only way of reconciling naturalism and normativity in accordance with the natural goodness approach requires amending the selected effects function account to include cultural evolution. However, this approach, though not biologically reductionistic, still generates claims incompatible with our considered moral judgments. Finally, I end with a discussion of methodology and revisionistic moral theories.

I. Introduction. Philosophical discussions of models and modeling in the biological sciences have exploded in the last few decades. Given that there are three-dimensional models of DNA in molecular genetics, individual-based computer simulations in population ecology, statistical models in paleontology, diffusion models in population genetics, and remnant models in taxonomy, we clearly should have a philosophical account of such models and their relation to the world. In this essay, I provide a critical survey of the accounts of models provided by philosophers of science and philosophers of biology including models as analogies, relational structures, partially independent representations, and material objects. However, there is much, much more work to be done.

In this essay, I examine the controversy concerning the advocacy of ethical values in conservation biology. First, I argue, as others have, that conservation biology is a science laden with values both ethical and non-ethical. Second, after clarifying the notion of advocacy at work, I contend that conservation biologists should advocate the preservation of biological diversity. Third, I explore what ethical grounds should be used for advocating the preservation of ecological systems by conservation biologists. I argue that conservation biologists should defend their preservationist positions on instrumentalist grounds alone if the context of discussion and debate is a scientific one

Recently, there has been a rise in pessimism concerning what theoretical ecology can offer conservation biologists in the formation of reasonable environmental policies. In this paper, I look at one of the pessimistic arguments offered by Kristin Shrader-Frechette and E. D. McCoy (1993, 1994)--the argument from conceptual imprecision. I suggest that their argument rests on an inadequate account of the concepts of ecological stability and that there has been conceptual progress with respect to complexity-stability hypotheses. Such progress, I maintain, can supply important resources for conservation biologists in determining environmental policies.

In recent years, there has much attention given by philosophers to the ubiquitous role of models and modeling in the biological sciences. Philosophical debates has focused on several areas of discussion. First, what are models in the biological sciences? The term ‘model’ is applied to mathematical structures, graphical displays, computer simulations, and even concrete organisms. Is there an account which unifies these disparate structures? Second, scientists routinely distinguish between theories and models; however, this distinction is more difficult to draw in the biological sciences since biologists often only have a variety of models and rarely have something like a fundamental theory. What then is a theory in biology? Third, how are models related to empirical or “target” systems?

Ecologist Richard Levins argues population biologists must trade‐off the generality, realism, and precision of their models since biological systems are complex and our limitations are severe. Steven Orzack and Elliott Sober argue that there are cases where these model properties cannot be varied independently of one another. If this is correct, then Levins's thesis that there is a necessary trade‐off between generality, precision, and realism in mathematical models in biology is false. I argue that Orzack and Sober's arguments fail since Levins's thesis concerns the pragmatic features of model building not just the formal properties of models.