Abstract
Niche theory is central to understanding how species respond geographically to climate change. It defines a species' realized niche in a biological community, its fundamental niche as determined by physiology, and its potential niche—the fundamental niche in a given environment or geographic space. However, most predictions of the effects of climate change on species' distributions are limited to correlative models of the realized niche, which assume that species are in distributional equilibrium with respect to the variables or gradients included in the model. Here, I present a mechanistic niche model that measures species' responses to major seasonal temperature gradients that interact with the physiology of the organism. I then use lethal physiological temperatures to parameterize the model for bird species in North and South America and show that most focal bird species are not in direct physiological equilibrium with the gradients. Results also show that most focal bird species possess broad thermal tolerances encompassing novel climates that could become available with climate change. I conclude with discussion of how mechanistic niche models may be used to (i) gain insights into the processes that cause species to respond to climate change and (ii) build more accurate correlative distribution models in birds and other species.
Highlights
Correlative niche models are commonly used to predict species’ geographic responses to climate change [1]
The R/O mean of 0.29 (6 1 SD of 0.24) suggests that focal species are absent from vast areas of the realized climate space that are thermally suitable for survival
In a simple 2-dimensional environmental space defined by major seasonal temperature gradients, focal bird species possess realized niches that are considerably smaller than their potential niches
Summary
Correlative niche models are commonly used to predict species’ geographic responses to climate change [1]. These models assume that species’ distributions are proximately shaped by major climate variables, either directly through physiological limits or indirectly through other environmental factors that are influenced by climate [2,3]. When projected beyond the set of climatic conditions used to train the model, correlative niche models further assume that the physiological limits and indirect climatic influences remain relatively constant over space and time [4,5]. We still do not understand precisely how most species’ geographic distributions are governed by climate [11–13]. I use lethal physiological temperatures to develop a generalized mechanistic niche model that evaluates species’ responses to seasonal temperature gradients
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