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Investigating forest growth model results on evolutionary time scales

Title data

Lange, Holger ; Thies, Birgit ; Kastner-Maresch, Alois ; Dörwald, Walter ; Kim, Jae-Ho ; Hauhs, Michael:
Investigating forest growth model results on evolutionary time scales.
In: Adami, Christoph (ed.): Artificial life VI : proceedings of the Sixth International Conference on Artificial Life. - Cambridge, Mass. : MIT Press , 1998 . - pp. 418-422
ISBN 0-262-51099-5

Abstract in another language

The output time series from the individual-based tree growth model TRAGIC++ are characterized by measures quantifying their randomness and complexity and by power spectra. TRAGIC++ provides, in addition to spatially very explicit tree stand representations, annual values for biomass production, root development, tree height and many others, for arbitrarily long simulation periods. Site conditions are translated into external growth constraints affecting the aggregated ecosystem level in the form of long-term nutrient input fluxes. Evolutionary effects are included by random mutations of parameters related to height growth strategies of individual trees. Genealogies are being traced to reconstruct evolutionary paths of successful strategies. Long-range correlations for some of the output variables are observed. At the ecosystem level, the nutrient budget remains stationary and uneffected by mutations. Tree strategies, however, appear to show long-term 'genetic' drift. Different phenotypes appear to cluster relative independently of mutation rates and resemble adaptation within real forest ecosystems and experiences in forestry.

Further data

Item Type: Article in a book
Refereed: No
Additional notes: BAYCEER7215
Institutions of the University: Faculties > Faculty of Biology, Chemistry and Earth Sciences > Department of Earth Sciences > Chair Ecological Modelling
Faculties > Faculty of Biology, Chemistry and Earth Sciences > Department of Earth Sciences > Chair Ecological Modelling > Chair Ecological Modelling - Univ.-Prof. Dr. Michael Hauhs
Research Institutions > Research Centres > Bayreuth Center of Ecology and Environmental Research- BayCEER
Faculties
Faculties > Faculty of Biology, Chemistry and Earth Sciences
Faculties > Faculty of Biology, Chemistry and Earth Sciences > Department of Earth Sciences
Research Institutions
Research Institutions > Research Centres
Result of work at the UBT: Yes
DDC Subjects: 500 Science
Date Deposited: 09 Oct 2015 05:57
Last Modified: 09 Oct 2015 05:57
URI: https://eref.uni-bayreuth.de/id/eprint/20315