Brief description
simpleSA provides facilitates running fishery assessments for Data-Poor to Data-Moderate fisheries. Includes functions for conducting a modified form of the Catch-MSY analysis, catch-curve analyses, surplus production modelling, age-structured surplus production modelling and age-structured stock reduction analyses. Bootstrap functions are included to allow the characterization of uncertainty in those analyses. The software permits the construction of fisheries management advice as well as providing phase plot diagrams of stock status where both biomass and fishing mortality are estimated.cede provides facilitates the exploration of variation and patterns within
fisheries data (Year, Catch, Effort, depth, vessel, etc), especially yearly
patterns. It also includes functions to produce sketch maps of fisheries
data where Lat and Long data, or other spatially explicit data, are
available. Finally, there are functions for conducting different types of
CPUE standardization that are there to act simply as a guide to what is
possible.
Lineage: two R packages simpleSA and cede were developed as part of FRDC project 2017-102 Reducing the Number of Undefined Species in Future Status of Australian Fish Stocks Reports: Phase Two - training in the assessment of data-poor stocks
Available: 2019-12-13
Subjects
Agricultural, Veterinary and Food Sciences |
Age structured production model |
Catch MSY |
Data poor |
Fisheries |
Fisheries Sciences |
Fisheries Sciences Not Elsewhere Classified |
Stock assessment |
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Identifiers
- DOI : 10.25919/5DF2B85801A04
- Handle : 102.100.100/266468
- URL : data.csiro.au/collection/csiro:42336