TY  - JOUR
A1  - Gros, Andreas
A1  - Hovestadt, Thomas
A1  - Poethke, Hans Joachim
T1  - Evolution of local adaptions in dispersal strategies
N2  - The optimal probability and distance of dispersal largely depend on the risk to end up in unsuitable habitat. This risk is highest close to the habitat’s edge and consequently, optimal dispersal probability and distance should decline towards the habitat’s border. This selection should lead to the emergence of spatial gradients in dispersal strategies. However, gene flow caused by dispersal itself is counteracting local adaptation. Using an individual based model we investigate the evolution of local adaptations of dispersal probability and distance within a single, circular, habitat patch. We compare evolved dispersal probabilities and distances for six different dispersal kernels (two negative exponential kernels, two skewed kernels, nearest neighbour dispersal and global dispersal) in patches of different size. For all kernels a positive correlation between patch size and dispersal probability emerges. However, a minimum patch size is necessary to allow for local adaptation of dispersal strategies within patches. Beyond this minimum patch area the difference in mean dispersal distance between center and edge increases linearly with patch radius, but the intensity of local adaptation depends on the dispersal kernel. Except for global and nearest neighbour dispersal, the evolved spatial pattern are qualitatively similar for both, mean dispersal probability and distance. We conclude, that inspite of the gene-flow originating from dispersal local adaptation of dispersal strategies is possible if a habitat is of sufficient size. This presumably holds for any realistic type of dispersal kernel.
KW  - Ausbreitung
KW  - Evolution
KW  - Computersimulation
KW  - Ökologie
KW  - nearest-neighbour dispersal
KW  - global dispersal
KW  - evolution
KW  - individual based simulation
Y1  - 2006
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-45406
ER  - 
TY  - JOUR
A1  - Ewald, Jörg
T1  - Ökologie der Weißtanne (Abies alba Mill.) im bayerischen Alpenraum
T1  - Ecology of silver fir (Abies alba Mill.) in the Bavarian Alps
N2  - Based on queries of the phytosociological databank BERGWALD, a compilation of 3.504 forest vegetation plots from the Bavarian Alps, the ecological niche of Abies alba is re-assessed. The tree species occurs mostly admixed in mountain forests with Fagus and Picea rather than forming distinctive communities of its own. Climatically, Abies is widely distributed to the upper limit of the montane belt, but occurs only sparsely in subalpine forest. Analysis of Ellenberg indicator values based on total species composition yielded the following results: As a tolerant species Abies regeneration has a marked preference for shady forest, which in turn Abies tree layers themselves help create. It also has a clear preference for acidic topsoil conditions. Sites with low N-supply, such as early successional stages on raw carbonate soils, are rarely colonised by Abies. Also, dry and markedly wet forest sites in the region are avoided by Abies. Permutation-based indicator species analysis found a large number of common forest species as being significantly associated with Abies and its frequent companion Fagus sylvatica, whereas there is a negative relationship with more specialised Seslerion and Erico-Pinion species. As Abies alba has very few specific companion species not shared with either Fagus or Picea, the delimitation of Abietetum-syntaxa appears mostly motivated by ecological rather than phytosociological considerations. As a result of its susceptibility towards game browsing, Abies regeneration is an indicator of high woody species richness. The study broadly confirms Abies alba's status as a climax species intermediate between Fagus and Picea, and demonstrates the potential of large phytosociological databanks for niche modelling.
KW  - Weißtanne
KW  - Ökologie
KW  - Bayern
KW  - Ellenberg indicator values ; Mixed mountain forest ; Niche model ; Phytosociological databank
Y1  - 2004
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-35193
ER  -