Changes between Version 2 and Version 3 of EwEugAnOverviewOfEcosim

Timestamp:

2010-11-21 22:33:32 (13 years ago)

Author:

shermanl

Comment:

--

EwEugAnOverviewOfEcosim

@@ -1 +1 @@
 == 3.1 An overview of Ecosim ==
 
-Ecosim provides a dynamic simulation capability at the ecosystem level, with key initial parameters inherited from the base Ecopath model. See [wiki:EcosimInputs Ecosim Inputs] and [wiki:EcosimOutputs Ecosim Outputs] for links to instructions for using Ecosim.
+Ecosim provides a dynamic simulation capability at the ecosystem level, with key initial parameters inherited from the base Ecopath model. See [EwEugEcosimInputs Ecosim Inputs] and [EwEugEcosimOutputs Ecosim Outputs] for links to instructions for using Ecosim.
 
 The key computational aspects are in summary form:
@@ -7 +7 @@
   * Use of mass-balance results (from Ecopath) for parameter estimation;
 
-  * Variable speed splitting enables efficient modelling of the dynamics of both ‘fast’ (phytoplankton) and ‘slow’ groups (whales);
+  * Variable speed splitting enables efficient modelling of the dynamics of both 'fast' (phytoplankton) and 'slow' groups (whales);
 
   * Effects of micro-scale behaviours on macro-scale rates: top-down vs. bottom-up control incorporated explicitly.
@@ -15 +15 @@
   * Multi-stanza life stage structure by monthly cohorts, density- and risk-dependent growth;
 
-  * Stock-recruitment relationship as ‘emergent’ property of competition/predation interactions of juveniles.
+  * Stock-recruitment relationship as 'emergent' property of competition/predation interactions of juveniles.
 
 Ecosim uses a system of differential equations that express biomass flux rates among pools as a function of time varying biomass and harvest rates, (for equations see Walters et al., 1997; Walters et al., 2000; Christensen and Walters, 2004). Predator prey interactions are moderated by prey behaviour to limit exposure to predation, such that biomass flux patterns can show either bottom-up or top down (trophic cascade) control (Walters et al., 2000. By doing repeated simulations Ecosim allows for the fitting of predicted biomasses to time series data.