Understanding the process of adaptation to novel environments may help to elucidate several ecological phenomena, from the stability of species range margins to host-pathogen specificity and persistence in degraded habitats. We study evolution in one type of novel environment: a sink habitat where populations cannot persist without recurrent immigration from a source population. Previous studies on source-sink evolution have focused on how extrinsic environmental factors influence adaptation to a sink, but few studies have examined how intrinsic genetic factors influence adaptation. We use an individual-based model to explore how genetic canalization that evolves in gene regulation networks influences the adaptation of a population to a sink. We find that as canalization in the regulation network increases, the probability of adaptation to the novel habitat decreases. When adaptation to the habitat does occur, it is usually preceded by a breakdown of canalization. As evolution continues in the novel habitat, canalization reemerges, but a legacy of the breakdown may remain, even after several generations. We also find that environmental noise tends to increase the probability of adaptation to the novel habitat. Our results suggest that the details of genetic architecture can significantly influence the likelihood of niche evolution in novel environments.

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Landscapes are often spatially heterogeneous, and many species frequently confront novel environments to which they are not adapted. Whether a species becomes adapted to a novel environment, and thus undergoes niche evolution, may depend not only on the genetic architecture of the traits under selection, but also on the structure of the ecological landscape. Different models of gene architecture are used to show that complex genetic architectures tends to produce genetic canalization that slows adaptation to novel environments compared to simpler additive polygenic architectures, but that the topology of the landscape interacts with genetic architecture to influence the probability of adaptation. This interaction can lead to unexpected results, such as a greater probability of adaptation to a novel environment for a population of more highly canalized individuals than a population of less canalized individuals. The interplay between landscape structure and genetic architecture may influence the balance of evolutionary forces acting on a population, and thus whether a species is likely to adapt to the novel environments it confronts.

The extinction of the Irish elk Megaloceros giganteus has traditionally thought to have been caused in one way or another by the enormous antlers of the males. Recently, a popular hypothesis for the Irish elk extinction has been their inability to cope with the nutritional demands of growing such large antlers during worsening habitat conditions. However, this hypothesis is weakened by several previously unaddressed and biologically unreasonable assumptions. We discuss these assumptions and conclude that, because antler mass is expected to have been evolutionarily labile, nutritionally sensitive, and ontogenetically variable and male mortality is expected to have had limited impact on population growth, the large antlers of Irish elk probably had little to do with the extinction. We focus on the reproductive energetics of females as a possible contributor to extinction, and model the nutritional demands of producing precocial cursorial young. Our model shows the reproductive output of females being reduced by 50% due to changes in the length of the growing season at the end of the Pleistocene when most populations of Irish elk went extinct. The model was validated with parameters from the extant wapiti, which was predicted to maintain high levels of reproduction during the Pleistocene climatic deterioration. Thus, nutritional stress on reproductive females is likely to have contributed more to the Irish elk extinction than nutritional stress on large-antlered males.

Traditionally, predator switching has been assumed to be a stabilizing force in ecological systems. Recent work, however, has shown that predator switching can be either stabilizing or destabilizing. Most models of predator switching, to date, assume that prey are behaviorally passive and do not respond to predators. We allowed prey to respond behaviorally to predators, so as to avoid capture, in order to explore how this ecologically realistic addition modified the impact of predator switching upon population stability and persistence. We used an individual-based, spatially explicit model that described local interactions between predators and prey, with a probability that prey would "sense" predators in adjacent cells and move away from the predators. We compared the individual-based model to a simple difference equation model. We found that intermediate prey sensitivity in the individualbased model allowed the highest probability of persistence of the predatorprey system. By allowing prey sensitivity, and the prey density threshold at which predators switch between prey, to evolve, we found that the evolution of sensitivity acted to stabilize the predator-prey system. We also found that at large prey growth rates, polymorphism in switching strategies can be stable in the predator population. These results suggest that prey behavior, coupled with predator switching, can have a large impact on the stability, persistence, and heterogeneity of predator-prey systems.