TY - JOUR
T1 - Studying Complexity and Risk Through Stochastic Population Dynamics
T2 - Persistence, Resonance, and Extinction in Ecosystems
AU - Mubayi, Anuj
AU - Kribs, Christopher
AU - Arunachalam, Viswanathan
AU - Castillo-Chavez, Carlos
PY - 2019/1/1
Y1 - 2019/1/1
N2 - Stochasticity provides a way to evaluate risk in complex population dynamics. This chapter describes how basic stochastic processes and algorithms are used to build models of ecological populations which can then derive probability distributions for population persistence and extinction, explain sustained oscillations generated by stochastic resonance, and measure emergent properties of a biological system, all as functions of demographic or environmental stochastic effects.
AB - Stochasticity provides a way to evaluate risk in complex population dynamics. This chapter describes how basic stochastic processes and algorithms are used to build models of ecological populations which can then derive probability distributions for population persistence and extinction, explain sustained oscillations generated by stochastic resonance, and measure emergent properties of a biological system, all as functions of demographic or environmental stochastic effects.
KW - Agent-based models
KW - Dynamical systems
KW - Stochastic algorithms
KW - Stochastic processes
UR - http://www.scopus.com/inward/record.url?scp=85059584183&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85059584183&partnerID=8YFLogxK
U2 - 10.1016/bs.host.2018.11.001
DO - 10.1016/bs.host.2018.11.001
M3 - Article
AN - SCOPUS:85059584183
SN - 0169-7161
JO - Handbook of Statistics
JF - Handbook of Statistics
ER -