SESSIONS INDEX

Dynamic Energy Budget Theory for metabolic organization . ... Mathematical modeling and computer simulations in the context of the management of renewable ...
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SESSIONS INDEX

AICME II

All sessions are given in alphabetical order, followed by the day (Fr, Sa, Mo or Tu), morning (m) or afternoon (a) session, and room (1, 2, 3, 4 or 5).

Behaviour-mediated population dynamics

. . . . . . . . . . . . . . . . . . . . . . Sa,m,5 Sa,a,5

Bifurcation and singularities in models of biosystems . . . . . . . . . . . . . . . . . . . . Tu,m,4 Control and optimization in ecological problems . . . . . . . . . . . . . . . . . . . Fr,a,3

Sa,m,3

Mo,m,3

Mo,a,3

Dynamic Energy Budget Theory for metabolic organization . . . . . . . . . . . . . . . .

Sa,m,2

Demography and Dispersal: Integrating Spatial Movement and the Life Cycle

Ecological applications of theoretical and simulation studies of branching processes Sa,m,1 Sa,a,1 From individuals to Populations and Communities General

. . . . . . . . . . . . . . . .

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

Individual-Based Spatial Simulations of Ecological Systems

Mo,a,3 Tu,m,3 Sa,a,5

Mo,m,5

. . . Fr,a,1 Sa,a,1 Mo,a,2 Tu,m,1

Life history problems and structured populations . . . . . . . . . . . . . Sa,a,2 Mo,m,2 Mo,a,2 Mathematical aspects of fragmentation and coagulation models with application to ecology . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Mo,a,1 Mathematical modeling and computer simulations in the context of the management of renewable resources . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Mo,a,5 Tu,m,5 Mathematical modeling of population dynamics involving delay differential equations . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Fr,a,5 Sa,m,5 Matrix models of population dynamics: straightforward applications and inspiring mathematics . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Sa,m,3 Sa,a,3 Modelling the spread of diseases in animal populations . . . . . . . . . . . . . . . Sa,m,4

Sa,a,4

Molecular Ecology . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Mo,a,5 Pattern and process in terrestrial plant communities: integrating empirical and theoretical approaches . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Fr,a,2 Sa,m,1 Pattern Formation, Spatiotemporal Chaos, and Noise in Theoretical Population Dynamics . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Mo,m,1 Mo,a,1 Small and mesoscale processes in the ocean and their impact on the marine ecosystem Spatio-Temporal Complexity in Population Dynamics

Mo,m,4

. . . . . . . . . . . . . . . . . . . Mo,a,4

Stochastic versus Deterministic Modeling in Population Biology

. . . . . . . . . . . . . . Fr,a,4

Theory and observations of invasion processes . . . . . . . . . . . . . . . . . . . . . . . . Tu,m,2

i