Noise and Correlations in a Spatial Population Model with Cyclic Competition

Biology – Quantitative Biology – Populations and Evolution

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

4 pages of main text, 3 color figures + 2 pages of supplementary material (EPAPS Document). Final version for Physical Review

Scientific paper

10.1103/PhysRevLett.99.238105

Noise and spatial degrees of freedom characterize most ecosystems. Some aspects of their influence on the coevolution of populations with cyclic interspecies competition have been demonstrated in recent experiments [e.g. B. Kerr et al., Nature {\bf 418}, 171 (2002)]. To reach a better theoretical understanding of these phenomena, we consider a paradigmatic spatial model where three species exhibit cyclic dominance. Using an individual-based description, as well as stochastic partial differential and deterministic reaction-diffusion equations, we account for stochastic fluctuations and spatial diffusion at different levels, and show how fascinating patterns of entangled spirals emerge. We rationalize our analysis by computing the spatio-temporal correlation functions and provide analytical expressions for the front velocity and the wavelength of the propagating spiral waves.

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

Noise and Correlations in a Spatial Population Model with Cyclic Competition does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Noise and Correlations in a Spatial Population Model with Cyclic Competition, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Noise and Correlations in a Spatial Population Model with Cyclic Competition will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-6453

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.