Operating Model Object

The Operating Model (OM) is the main component of the MSE framework. The OM is used to describe the characteristics of a fishery system and contains all the parameters required to simulate the population and fleet dynamics, the collection of data, and the application of a management procedure (e.g., implement a size regulation, effort control, spatial closure, or catch limit).

An OM is built from four separate objects, each containing a set of parameter values for different aspects of the simulation:

  1. Stock object - parameters describing the stock dynamics
  2. Fleet object - parameters describing the fishing fleet dynamics
  3. Obs object - parameters describing the observation processes
  4. Imp object - parameters describing the management implementation

These objects are described in more detail in their respective pages.

In addition to the information contained in the Stock, Fleet, Obs, and Imp objects, an OM object has 15 slots with additional operating model information (see Table below).

The contents of the first 6 slots and the last slots are self-explanatory. The next section describes the remaining slots for the OM object.

Table 1: Slots in the OM Object, excluding the Stock, Fleet, Obs, and Imp slots.
1NameName of the operating model
2AgencyName of the agency responsible for the management of the fishery. Character string
3RegionName of the general geographic region of the fishery. Character string
4SponsorName of the organization who sponsored the OM. Character string
5LatitudeLatitude (decimal degrees). Negative values represent the South of the Equator. Numeric. Single value
6LongitudeLongitude (decimal degrees). Negative values represent the West of the Prime Meridian. Numeric. Single value
7nsimThe number of simulations
8proyearsThe number of projected years
9intervalThe assessment interval - how often would you like to update the management system?
10pstarThe percentile of the sample of the management recommendation for each method
11maxFMaximum instantaneous fishing mortality rate that may be simulated for any given age class
12repsNumber of samples of the management recommendation for each method. Note that when this is set to 1, the mean value of the data inputs is used.
13cparsA list of custom parameters. Time series are a matrix nsim rows by nyears columns. Single parameters are a vector nsim long
14seedA random seed to ensure users can reproduce results exactly
15SourceA reference to a website or article from which parameters were taken to define the operating model