title: Learning, climate and the evolution of cultural capacity.
abstract: Patterns of environmental variation influence the utility, and thus evolution, of different learning strategies. I use stochastic, individual-based evolutionary models to assess the relative advantages of 15 different learning strategies (genetic determination, individual learning, vertical social learning, horizontal/oblique social learning, and contingent combinations of these) when competing in variable environments described by 1/f noise. When environmental variation has little effect on fitness, then genetic determinism persists. When environmental variation is large and equal over all time-scales ("white noise") then individual learning is adaptive. Social learning is advantageous in "red noise" environments when variation over long time-scales is large. Climatic variability increases with time-scale, so that short-lived organisms should be able to rely largely on genetic determination. Thermal climates usually are insufficiently red for social learning to be advantageous for species whose fitness is very determined by temperature. In contrast, population trajectories of many species, especially large mammals and aquatic carnivores, are sufficiently red to promote social learning in their predators. The ocean environment is generally redder than that on land. Thus, while individual learning should be adaptive for many longer-lived organisms, social learning will often be found in those dependent on the populations of other species, especially if they are marine. This provides a potential explanation for the evolution of a prevalence of social learning, and culture, in humans and cetaceans.
authors.affiliation: Department of Biology, Dalhousie University, 1355 Oxford St, Halifax, Nova Scotia, Canada B3H 4J1. hwhitehe@dal.ca
authors.forename: Hal
authors.initials: H
authors.lastname: Whitehead
mesh_terms: D000222:Adaptation, Physiological; D000818:Animals; D005075:Biological Evolution; D002980:Climate; D003469:Culture; D017753:Ecosystem; D006801:Humans; D007858:Learning; D008954:Models, Biological; D015233:Models, Statistical; D012931:Social Environment