Following Mayr (1961) evolutionary biologists often maintain that the hallmark of biology is its evolutionary perspective. In this view, biologists distinguish themselves from other natural scientists by their emphasis on why-questions. Why-questions are legitimate in biology but not in other natural sciences because of the selective character of the process by means of which living objects acquire their characteristics. For that reason, why-questions should be answered in terms of natural selection. Functional biology is seen as a reductionist science that applies (...) physics and chemistry to answer how-questions but lacks a biological point of view of its own. In this paper I dispute this image of functional biology. A close look at the kinds of issues studied in biology and at the way in which these issues are studied shows that functional biology employs a distinctive biological perspective that is not rooted in selection. This functional perspective is characterized by its concern with the requirements of the life-state and the way in which these are met. (shrink)

Explaining the persistence of populations is an important quest in ecology, and is a modern manifestation of the balance of nature metaphor. Increasingly, however, ecologists see populations (and ecological systems generally) as not being in equilibrium or balance. The portrayal of ecological systems as “non-equilibrium” is seen as a strong alternative to deterministic or equilibrium ecology, but this approach fails to provide much theoretical or practical guidance, and warrants formalisation at a more fundamental level. This is available in adaptation theory, (...) which allows population persistence to be explained as an epiphenomenon stemming from the maintenance, survival, movement and reproduction of individual organisms. These processes take place within a physicochemical and biotic environment that persists through structured annual cycles, but which is also spatiotemporally dynamic and subject to stochastic variation. The focus is thus shifted from the overproduction of offspring and the consequent density dependent population pressure thought to follow, to the adaptations and ecological circumstances that support those relatively few individuals that do survive. (shrink)

We analyse theories and research approaches in ecology and find that they fall into two internally homogeneous groups of linked ideas, each comprising a unique set of premises. The two sets of interpretive statements are thus mutually exclusive; they constitute alternative theoretical developments in ecology and should not be seen as complementary. They can, therefore, be considered two paradigms (Kuhn, 1962). Our interpretation is supported by the minimal overlap, if any, in the premises and research directions of the two approaches. (...) We label the dominant group of ideas the demographic paradigm and the less developed one the autecological paradigm. The internal logic of the demographic paradigm of ecology is strongly developed and consistent. Its premises and logic extend into current models of population genetics, biogeography, palaeontology, evolutionary theory and conservation biology. Nevertheless, many phenomena contradict the premises of the demographic paradigm; these contradictions cannot be accommodated within its theoretical framework without major disruptions in logic ensuing. Such phenomena can, in contrast, be understood in terms of the autecological paradigm. Because the status and strengths of the autecological paradigm are generally unrecognised and because autecology is frequently misrepresented in the literature, we redefine its premises and clarify its structure and aims as an aid to its future development. (shrink)

This paper analyses the broad methodological structure of population-biological theorising. In it, I show that the distinction between initial exploratory, hypothesis-generating research and the subsequent process-reconstructing, hypothesis-testing type of research is not being made. Rather, the hypotheses generated in population biology are elaborated in such detail that students confound the initial research phase with the subsequent hypotheses-testing phase of research. In this context, I therefore analyse some testing procedures within the exploration phase and show that, as an extreme form of (...) confusion, statistical null-models are mistakenly given the status of causal population-biological theory. (shrink)