setFishing | R Documentation |
Set fishing parameters
setFishing(
params,
selectivity = NULL,
catchability = NULL,
reset = FALSE,
initial_effort = NULL,
...
)
getCatchability(params)
catchability(params)
catchability(params) <- value
getSelectivity(params)
selectivity(params)
selectivity(params) <- value
getInitialEffort(params)
setFishing()
: A MizerParams object with updated fishing
parameters.
getCatchability()
or equivalently catchability()
: An array (gear
x species) that holds the catchability of each species by each gear,
Q_{g,i}
. The names of the dimensions are "gear, "sp".
getSelectivity()
or equivalently selectivity()
: An array (gear x
species x size) that holds the selectivity of each gear for species and
size, S_{g,i,w}
. The names of the dimensions are "gear, "sp", "w".
getInitialEffort()
or equivalently initial_effort()
: A named
vector with the initial fishing effort for each gear.
Gears
In mizer
, fishing mortality is imposed on species by fishing gears. The
total per-capita fishing mortality (1/year) is obtained by summing over the
mortality from all gears,
\mu_{f.i}(w) = \sum_g F_{g,i}(w),
where the fishing mortality F_{g,i}(w)
imposed by gear g
on
species i
at size w
is calculated as:
F_{g,i}(w) = S_{g,i}(w) Q_{g,i} E_{g},
where S
is the selectivity by species, gear and size, Q
is the
catchability by species and gear and E
is the fishing effort by gear.
Selectivity
The selectivity at size of each gear for each species is saved as a three
dimensional array (gear x species x size). Each entry has a range between 0
(that gear is not selecting that species at that size) to 1 (that gear is
selecting all individuals of that species of that size). This three
dimensional array can be specified explicitly via the selectivity
argument, but usually mizer calculates it from the gear_params
slot of
the MizerParams object.
To allow the calculation of the selectivity
array, the gear_params
slot
must be a data frame with one row for each gear-species combination. So if
for example a gear can select three species, then that gear contributes three
rows to the gear_params
data frame, one for each species it can select. The
data frame must have columns gear
, holding the name of the gear, species
,
holding the name of the species, and sel_func
, holding the name of the
function that calculates the selectivity curve. Some selectivity functions
are included in the package: knife_edge()
, sigmoid_length()
,
double_sigmoid_length()
, and sigmoid_weight()
.
Users are able to write their own size-based selectivity function. The first
argument to the function must be w
and the function must return a vector of
the selectivity (between 0 and 1) at size.
Each selectivity function may have parameters. Values for these
parameters must be included as columns in the gear parameters data.frame.
The names of the columns must exactly match the names of the corresponding
arguments of the selectivity function. For example, the default selectivity
function is knife_edge()
that a has sudden change of selectivity from 0 to 1
at a certain size. In its help page you can see that the knife_edge()
function has arguments w
and knife_edge_size
. The first argument, w
, is
size (the function calculates selectivity at size). All selectivity functions
must have w
as the first argument. The values for the other arguments must
be found in the gear parameters data.frame. So for the knife_edge()
function there should be a knife_edge_size
column. Because knife_edge()
is the default selectivity function, the knife_edge_size
argument has a
default value = w_mat
.
The most commonly-used selectivity function is sigmoid_length()
. It has a
smooth transition from 0 to 1 at a certain size. The sigmoid_length()
function has the two parameters l50
and l25
that are the lengths in cm at
which 50% or 25% of the fish are selected by the gear. If you choose this
selectivity function then the l50
and l25
columns must be included in the
gear parameters data.frame.
In case each species is only selected by one gear, the columns of the
gear_params
data frame can alternatively be provided as columns of the
species_params
data frame, if this is more convenient for the user to set
up. Mizer will then copy these columns over to create the gear_params
data
frame when it creates the MizerParams object. However changing these columns
in the species parameter data frame later will not update the gear_params
data frame.
Catchability
Catchability is used as an additional factor to make the link between gear selectivity, fishing effort and fishing mortality. For example, it can be set so that an effort of 1 gives a desired fishing mortality. In this way effort can then be specified relative to a 'base effort', e.g. the effort in a particular year.
Catchability is stored as a two dimensional array (gear x species). This can
either be provided explicitly via the catchability
argument, or the
information can be provided via a catchability
column in the gear_params
data frame.
In the case where each species is selected by only a single gear, the
catchability
column can also be provided in the species_params
data
frame. Mizer will then copy this over to the gear_params
data frame when
the MizerParams object is created.
Effort
The initial fishing effort is stored in the MizerParams
object. If it is
not supplied, it is set to zero. The initial effort can be overruled when
the simulation is run with project()
, where it is also possible to specify
an effort that varies through time.
gear_params()
Other functions for setting parameters:
gear_params()
,
setExtEncounter()
,
setExtMort()
,
setInitialValues()
,
setInteraction()
,
setMaxIntakeRate()
,
setMetabolicRate()
,
setParams()
,
setPredKernel()
,
setReproduction()
,
setSearchVolume()
,
species_params()
str(getCatchability(NS_params))
str(getSelectivity(NS_params))
str(getInitialEffort(NS_params))
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.