@phdthesis{Kubisch2012,
  author    = {Kubisch, Alexander},
  title     = {Range border formation in the light of dispersal evolution},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-70639},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2012},
  abstract  = {Understanding the emergence of species' ranges is one of the most fundamental challenges in ecology. Early on, geographical barriers were identified as obvious natural constraints to the spread of species. However, many range borders occur along gradually changing landscapes, where no sharp barriers are obvious. Mechanistic explanations for this seeming contradiction incorporate environmental gradients that either affect the spatio-temporal variability of conditions or the increasing fragmentation of habitat. Additionally, biological mechanisms like Allee effects (i.e. decreased growth rates at low population sizes or densities), condition-dependent dispersal, and biological interactions with other species have been shown to severely affect the location of range margins. The role of dispersal has been in the focus of many studies dealing with range border formation. Dispersal is known to be highly plastic and evolvable, even over short ecological time-scales. However, only few studies concentrated on the impact of evolving dispersal on range dynamics. This thesis aims at filling this gap. I study the influence of evolving dispersal rates on the persistence of spatially structured populations in environmental gradients and its consequences for the establishment of range borders. More specially I investigate scenarios of range formation in equilibrium, periods of range expansion, and range shifts under global climate change ...},
  subject      = {Areal},
  language  = {en}
}
@phdthesis{Chaianunporn2012,
  author    = {Chaianunporn, Thotsapol},
  title     = {Evolution of dispersal and specialization in systems of interacting species},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-76779},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2012},
  abstract  = {A metacommunity approach will be a useful framework to assess and predict changes in biodiversity in spatially structured landscapes and changing environments. However, the relationship between two core elements of metacommunity dynamics, dispersal and species interaction are not well understood. Most theoretical studies on dispersal evolution assume that target species are in isolation and do not interact with other species although the species interactions and community structure should have strong interdependence with dispersal. On the one hand, a species interaction can change the cost and benefit structure of dispersing in relation to non-dispersing individuals. On the other hand, with dispersal, an individual can follow respectively avoid species partners. Moreover, it is also important to explore the interdependence between dispersal and species interaction with spatial and temporal heterogeneity of environment because it would allow us to gain more understanding about responses of community to disturbances such as habitat destruction or global climate change, and this aspect is up to now not well-studied. In this thesis, I focus on the interactive and evolutionary feedback effects between dispersal and various types of interspecific interactions in different environmental settings. More specifically, I contrast dispersal evolution in scenarios with different types of interactions (chapter 2), explore the concurrent evolution of dispersal and habitat niche width (specialization) in spatial heterogeneous landscape (chapter 3) and consider (potential) multidimensional evolutionary responses under climate change (chapter 4). Moreover, I investigate consequences of different dispersal probability and group tolerance on group formation respectively group composition and the coexistence of 'marker types' (chapter 5). For all studies, I utilize individual-based models of single or multiple species within spatially explicit (grid-based) landscapes. In chapter 5, I also use an analytical model in addition to an individual-based model to predict phenomenon in group recognition and group formation. ...},
  subject      = {Tiergesellschaft},
  language  = {en}
}