In this volume, the authors discuss what practical contributions ecology can and can't make in applied science and environmental problem solving. In the first section, they discuss conceptual problems that have often prevented the formulation and evaluation of powerful, precise, general theories, explain why island biogeography is still beset with controversy and examine the ways that science is value laden. In the second section, they describe how ecology can give us specific answers to practical environmental questions posed in individual case (...) studies, and argue for a new way to look at scientific error. A case study using the Florida panther is examined in the light of these findings. (shrink)

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. (shrink)

Computer simulation has become important in ecological modeling, but there have been few assessments on how complex simulation models differ from more traditional analytic models. In Part I of this paper, I review the challenges faced in complex ecological modeling and how models have been used to gain theoretical purchase for understanding natural systems. I compare the use of traditional analytic simulation models and point how that the two methods require different kinds of practical engagement. I examine a case study (...) of three models from the insect resistance literature in transgenic crops to illustrate and explore differences in analytic and computer simulation models. I argue that analyzing simulation models has been often inappropriately managed with expectations derived from handling analytic models. In Part II, I look at simulation as a hermeneutic practice. I argue that simulation models are a practice or techné. I the explore five aspects of philosophical hermeneutics that may be useful in complex ecological simulation: (1) an openness to multiple perspectives allowing multiple levels of scientific pluralism, (2) the hermeneutic circle, a back and forth in active communication among both modelers and ecologists; (3) the recognition of human factors and the nature of human practices as such, including recognizing the role of judgments and choices in the modeling enterprise; (4) the importance of play in modeling; (5) the non-closed nature of hermeneutic engagement, continued dialogue, and recognizing the situatedness, incompleteness, and tentative nature of simulation models. (shrink)

This book is a sustained examination of issues in the philosophy of ecology that have been a source of controversy since the emergence of ecology as an explicit scientific discipline. The controversies revolve around the idea of a balance of nature, the possibility of general ecological knowledge and the role of model-building in ecology. The Science of the Struggle for Existence is also a detailed treatment of these issues that incorporates both a comprehensive investigation of the relevant ecological literature and (...) the development of an explicit theoretical framework in the philosophy of science. It addresses issues in the philosophy of ecology that are of particular importance for the deployment of ecology in the solution of environmental problems. It will have a cross-disciplinary appeal and will interest students and professionals in science, the philosophy of science, and environmental studies as well as policy-makers. (shrink)

Computational methods such as computer simulations, Monte Carlo methods, and agent-based modeling have become the dominant techniques in many areas of science. Extending Ourselves contains the first systematic philosophical account of these new methods, and how they require a different approach to scientific method. Paul Humphreys draws a parallel between the ways in which such computational methods have enhanced our abilities to mathematically model the world, and the more familiar ways in which scientific instruments have expanded our access to the (...) empirical world. This expansion forms the basis for a new kind of empiricism, better suited to the needs of science than the older anthropocentric forms of empiricism. Human abilities are no longer the ultimate standard of epistemological correctness.Humphreys also includes arguments for the primacy of properties rather than objects, the need to consider technological constraints when appraising scientific methods, and a detailed account of how the path from computational template to scientific application is constructed. This last feature allows us to hold a form of selective realism in which anti-realist arguments based on formal reconstructions of theories can be avoided. One important consequence of the rise of computational methods is that the traditional organization of the sciences is being replaced by an organization founded on computational templates.Extending Ourselves will be of interest to philosophers of science, epistemologists, and to anyone interested in the role played by computers in modern science. (shrink)

A phenomenological community is an identifiable assemblage of organisms in a local habitat patch: a local wetland or mudflat are typical examples. Such communities are typically persistent: membership and abundance stay fairly constant over time. In this paper I discuss whether phenomenological communities are functionally structured, causal systems that play a role in determining the presence and abundance of organisms in a local habitat patch. I argue they are not, if individualist models of community assembly are vindicated; i.e., if the (...) presence of one species is not typically explained by the presence or absence of specific other species. I discuss two alternatives to in- dividualism, and conclude by arguing for a dimensional model of phenomenological communities. The causal salience of a phenomenological community depends on three factors: the extent to which it is internally regulated, the extent to which it has robust boundaries, and the extent to which it has emergent properties. I conclude by using this model to frame a natural research agenda for community ecology. (shrink)

The standard picture of evolution, is externalist: a causal arrow runs from environment to organism, and that arrow explains why organisms are as they are (Godfrey-Smith 1996). Natural selection allows a lineage to accommodate itself to the specifics of its environment. As the interior of Australia became hotter and drier, phenotypes changed in many lineages of plants and animals, so that those organisms came to suit the new conditions under which they lived. Odling-Smee, Laland and Feldman, building on the work (...) of Richard Lewontin, have shown that while sometimes appropriate, this is an inadequate conception of the relationship between organisms and the environments in which they live. Over time organisms alter their environment as well as being altered by their environments (Lewontin 1982; Lewontin 1983; Lewontin 1985). For example, animals modulate the effects of their physical and biological environment by building shelters: the beaver’s dam and lodge system, and termite mounds are two famous cases of animal structures, but they are few of many. There are many thousands of animals which make nests, burrows and other shelters. Likewise, animals make tools that give them access to resources from which they would otherwise be excluded: thus the Galapagos woodpecker finch uses a cactus needle to extract insects from crevasses in bark — insects that they would otherwise be unable to catch (Tebbich, Taborsky et al. 2001). Tool making is not as common as shelter-making, but it is common. For example many animals make traps: there are many species of pit-making antlions. Thus in part organisms make the world in which they live. They partially construct their own niches. Odling-Smee, Laland and Feldman argue that this has five major and under-appreciated consequences for biological theory. (shrink)