Spatial-Stochastic: Difference between revisions
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* [http://igitur-archive.library.uu.nl/milieu/2008-0111-200810/rietkerk-04-self%20organised.pdf Self-Organized Patchiness and Catastrophic Shifts in Ecosystems] | * [http://igitur-archive.library.uu.nl/milieu/2008-0111-200810/rietkerk-04-self%20organised.pdf Self-Organized Patchiness and Catastrophic Shifts in Ecosystems] | ||
* [http://www.nature.com/nature/journal/v405/n6783/pdf/405228a0.pdf The diversity-stability debate] | * [http://www.nature.com/nature/journal/v405/n6783/pdf/405228a0.pdf The diversity-stability debate] | ||
==Contact: == | |||
maybe we need emails to facilitate communications. | |||
Xiaoli: xiaolidong2008@gmail.com |
Revision as of 03:43, 11 June 2012
Stochasticity and Space Project
Things we Need:
- Explicit hypotheses
- links to papers,
- state variables
- definitions of agent traits w.r.t. space variables,
- forcing conditions
- sample code?
Looks like we can do anything on a square grid in NetLogo, and even import GIS data.
Proposed:
State variables:
- Limiting resource (which can also be in excess)(E.g., water)
- Patch/cell/region ability to conserve resource (E.g., soil organic matter)
- Patch connections (e.g., elevation -> horizontal flow)
Agent characteristics:
- Efficiency in capturing resource
- Efficiency in surviving low-resource conditions
- R-k strategy
- Spatial reach, for getting resource or spreading offspring
- Interactions? One kind of agent more efficient in the presence of another?
- Threshold responses to external inputs, or saturation
Forcing conditions:
- Input of resource, variable in space or time
- Variance of input
Hypotheses:
- Variable resource input favors different agent traits than reliable inputs with the same mean value
- Agents develop spatial variability to gather sparse resources
- Unreliable resources favor cooperative strategies (Demetrius, e.g.)
- Hubler's hypotheses: with little noise, the system minimizes dissipation and is efficient; with much noise, the system maximizes dissipation and is robust.
Papers:
Contact:
maybe we need emails to facilitate communications. Xiaoli: xiaolidong2008@gmail.com