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An individual's choices are shaped by its experience, a fundamental property of behavior important to understanding complex processes. Learning and memory are observed across many taxa and can drive behaviors, including foraging behavior. To explore the conditions under which memory provides an advantage, we present a continuous-space, continuous-time model of animal movement that incorporates learning and memory. Using simulation models, we evaluate the benefit memory provides across several types of landscapes with variable-quality resources and compare the memory model within a nested hierarchy of simpler models (behavioral switching and random walk). We find that memory almost always leads to improved foraging success, but that this effect is most marked in landscapes containing sparse, contiguous patches of high-value resources that regenerate relatively fast and are located in an otherwise devoid landscape. In these cases, there is a large payoff for finding a resource patch, due to size, value, or locational difficulty. While memory-informed search is difficult to differentiate from other factors using solely movement data, our results suggest that disproportionate spatial use of higher value areas, higher consumption rates, and consumption variability all point to memory influencing the movement direction of animals in certain ecosystems.
Biodiversity is unevenly distributed on Earth. Highly diverse biotas are particularly expected in mountain systems, because altitudinal zonation provides a number of habitat alternatives, which could lead to lower extinction rates during climatic changes. Nevertheless, the impact of environmental changes on plant diversification (especially for sub-alpine taxa) in the course of mountain orogenesis remains poorly understood. This is also true for the highest and largest plateau on Earth, the Qinghai-Tibetan Plateau (QTP) and its surrounding areas.In this doctoral thesis, I investigated the impact of environmental changes on plant diversification and the floristic exchange between the QTP region and biodiversity hotspots of Southeast Asia as well as other parts of the world by using the sub-alpine genera Agapetes and Vaccinium (Vaccinieae, Ericaceae) as well as Tripterospermum (Gentianinae, Gentianaceae) as model systems. Furthermore, I examined the role of niche evolution and conservatism in a changing environment over time, and detected possible beneficial morphological traits of plants in the surroundings of the QTP by investigating subtropical Gentianinae (Crawfurdia, Kuepferia, Metagentiana, Sinogentiana, and Tripterospermum; Gentianaceae).