The suite of factors that drives where and under what conditions a species occurs has become the focus of intense research interest. Three general categories of methods have emerged by which researchers address questions in this area: mechanistic models of species' requirements in terms of environmental conditions that are based on first principles of biophysics and physiology, correlational models based on environmental associations derived from analyses of geographic occurrences of species, and process-based simulations that estimate occupied distributional areas and associated environments from assumptions about niche dimensions and dispersal abilities. We review strengths and weaknesses of these sets of approaches, and identify significant advantages and disadvantages of each. Rather than identifying one or the other as 'better,' we suggest that researchers take great care to use the method best-suited to each specific research question, and be conscious of the weaknesses of any method, such that inappropriate interpretations are avoided.
NICHES AND DISTRIBUTIONSThe many and diverse concepts associated with the term 'niche' have long been central in ecological thinking (Chase & Leibold 2003). After a period of stagnation (approximately 1980-1990), during which research about niches was minimal (McInerny & Etienne 2012a, b), the term has seen a vibrant rebirth in recent decades. This revival appears associated at least in part with the possibility of using large databases of primary biodiversity occurrence data in tandem with geospatial data sets summarising environmental variables to estimate coarse-grained aspects of species' niche dimensions. By extension, from such niche estimates, one can then estimate potential distributional areas of species as well ).This approach is the so-called 'correlative' approach to what has been termed ecological niche modelling (hereafter 'ENM'), in situations in which focus is on understanding conditions that allow persistence of species' populations, or species distribution modelling ('SDM') in situations in which focus is on predicting the geographic distribution of the species (Peterson & Soberón 2012). Other approaches to these challenges exist as well, however, such as 'mechanistic' niche modelling (Kearney & Porter 2009), that aims to understand, using detailed biophysical modelling approaches, the environmental requirements that make up the fundamental niche of a species; and 'process-oriented' or 'hybrid' distribution modelling , wherein hypotheses about niche, dispersal, and (in some cases) biotic interactions are integrated in models and simulations of the entire set of processes leading to the occupation of areas by a species.Some authors prefer to blur distinctions between these approaches , and clearly the three do overlap and interlink (e.g., correlational or mechanistic niche estimates being used in process-oriented approaches). How-ever, here, we posit that the distinctions between mechanistic, correlative, and process-oriented approaches are more than just...