at Google ScholarTitle data
Lange, Holger ; Thies, Birgit ; Hauhs, Michael ; Kastner-Maresch, Alois:
Recurrence quantification of transient behavior in simulated evolving forests.
In: Wilke, Claus
(ed.):
Abstracting and synthesizing the principles of living systems : Third German Workshop on Artificial Life. -
Thun
: Deutsch
,
1998
. - pp. 83-96
ISBN 3-8171-1591-1
Abstract in another language
We analyze the behavior of observable quantities of the detailed individual-oriented tree growth model TRAGIC++. The model is run on very large time scales (50 kiloyears (kys)) to investigate possible evolutionary processes related to height growth strategies and on small spatial scales (support for approx. 30 adult trees). Transient phases of maximal height and tree number are investigated by means of recurrence quantification analysis (RQA). Simulations are compared with model runs where evolution is excluded. The causes behind phenotype changes in terms of strategy parameters of trees can be identified with the help of RQA, while linear methods alone give ambiguous results. Our investigations suggest that RQA might be a suitable tool for detecting causal relationships in noisy and complex environments.
Further data
| Item Type: | Article in a book |
|---|---|
| Refereed: | Yes |
| Additional notes: | BAYCEER7212 |
| 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/20314 |