Despite the general interest in nonlinear dynamics in animal populations, plant populations are supposed to show a stable equilibrium that is attributed to fundamental differences compared with animals. Some studies find more complex dynamics, but empirical studies usually are too short and most modelling studies ignore important spatial aspects of local competition and establishment. Therefore, we used a spatially explicit individual–based model of a hypothetical, non–clonal perennial to explore which mechanisms might generate complex dynamics, i.e. cycles. The model is based on the field–of–neighbourhood approach that describes local competition and establishment in a phenomenological manner. We found cyclic population dynamics for a wide spectrum of model variants, provided that mortality is determined by local competition and recruitment is virtually completely suppressed within the zone of influence of established plants. This destabilizing effect of local processes within plant populations might have wide–ranging implications for the understanding of plant community dynamics and coexistence.
Bauer S., Berger U., Hildenbrandt H. and Grimm V. (2002) Cyclic dynamics in simulated plant populations. Proceedings of the Royal Society B Biological Sciences 269(1508): 2443-2450. 10.1098/rspb.2002.2186
@article{Bauer2002,
Title = {Cyclic dynamics in simulated plant populations},
Author = {Bauer, Silke and Berger, Uta and Hildenbrandt, Hanno and Grimm, Volker},
Editor = {},
Journal = {Proceedings of the Royal Society B Biological Sciences},
Year = {2002},
Pages = {2443-2450},
Volume = {269},
Doi = {10.1098/rspb.2002.2186},
Abstract = {Despite the general interest in nonlinear dynamics in animal populations, plant populations are supposed to show a stable equilibrium that is attributed to fundamental differences compared with animals. Some studies find more complex dynamics, but empirical studies usually are too short and most modelling studies ignore important spatial aspects of local competition and establishment. Therefore, we used a spatially explicit individual–based model of a hypothetical, non–clonal perennial to explore which mechanisms might generate complex dynamics, i.e. cycles. The model is based on the field–of–neighbourhood approach that describes local competition and establishment in a phenomenological manner. We found cyclic population dynamics for a wide spectrum of model variants, provided that mortality is determined by local competition and recruitment is virtually completely suppressed within the zone of influence of established plants. This destabilizing effect of local processes within plant populations might have wide–ranging implications for the understanding of plant community dynamics and coexistence.},
}
TY - JOUR
AU - Bauer, Silke
AU - Berger, Uta
AU - Hildenbrandt, Hanno
AU - Grimm, Volker
TI - Cyclic dynamics in simulated plant populations
T2 - Proceedings of the Royal Society B Biological Sciences
PY - 2002
SP - 2443-2450
VL - 269
DO - 10.1098/rspb.2002.2186
AB - Despite the general interest in nonlinear dynamics in animal populations, plant populations are supposed to show a stable equilibrium that is attributed to fundamental differences compared with animals. Some studies find more complex dynamics, but empirical studies usually are too short and most modelling studies ignore important spatial aspects of local competition and establishment. Therefore, we used a spatially explicit individual–based model of a hypothetical, non–clonal perennial to explore which mechanisms might generate complex dynamics, i.e. cycles. The model is based on the field–of–neighbourhood approach that describes local competition and establishment in a phenomenological manner. We found cyclic population dynamics for a wide spectrum of model variants, provided that mortality is determined by local competition and recruitment is virtually completely suppressed within the zone of influence of established plants. This destabilizing effect of local processes within plant populations might have wide–ranging implications for the understanding of plant community dynamics and coexistence.
ER -
Details
Datum07.12.2002
JournalProceedings of the Royal Society B Biological Sciences