catchability {LobsterCatch} | R Documentation |
This function calculates the probability of entry into a trap, also known as catchability. It includes the parameters described in Addison and Bell (1997), and can also incorporate the length of the catch while calculating the catchability.
Description
This function calculates the probability of entry into a trap, also known as catchability. It includes the parameters described in Addison and Bell (1997), and can also incorporate the length of the catch while calculating the catchability.
Usage
catchability(
q0,
qmin,
saturationThreshold,
Ct,
lengthBased,
lobLengthThreshold,
lobSize = NA,
sexBased,
lobSex
)
Arguments
q0 |
is the initial probability of entry into an empty trap (range is from 0-1). Default value is 0.5. |
qmin |
is the asymptotic minimum probability of entry with default value being 0. |
saturationThreshold |
is the number of lobsters in a trap at which the probability of another lobster entering the trap is zero (i.e. no more entry due to agnostic behavior of trapped lobsters). |
Ct |
is the number of caught lobster |
lengthBased |
Logical. If TRUE the length of lobsters caught will be taken into account |
lobLengthThreshold |
Logical.If TRUE the carapace length (in milliliters) beyond which there is no chance of catching another lobster due to bold agnostic behavior of large lobsters. |
lobSize |
is a size frequency dataset that is representative of the population and can be incorporated to the model. |
sexBased |
Logical. If TRUE, lobster sex is taken into account and user must provide a list containing sex distribution for the simulated population |
lobSex |
is the sex of trapped lobster |
Value
Returns the probability of entry to trap.
References
Julian T. Addison and Michael C. Bell (1997), Simulation modelling of capture processes in trap fisheries for clawed lobsters, Marine Freshwater Research, 48(8), 1035-1044, https://www.publish.csiro.au/MF/MF97169