This is a collection of reports and papers that were used to develop the Framework for Integrated and Habitat Evaluation (FISHE), as well as a selection of supporting materials that can be used during the six steps of the data-limited framework. Use the search function below to search for specific resources.

  • 31.
    Worksheet designed to facilitate stakeholder-driven goal setting process.
  • 32.
    This document was designed to walk fishery managers and stakeholders through steps 6, 7, and 8 of the FISHE process: Performance Indicators (PIs), Reference Points (RPs), and Harvest Control Rules (HCRs). Us it in combination with the Excel worksheets (PI-RP-HCR Worksheet) to identify PIs that can help to track fishery progress towards management goals, to select appropriate RPs for each PI, and to define effective and appropriate HCRs that will dictate actions taken in response to the results of the detailed stock assessments conducted at FISHE Step 9.
  • 33.
    A management strategy evaluation (based on five species in the California, USA, nearshore fishery) of control rules that reduce relative fishing effort as a function of the ratio of fish density outside versus inside no-take marine reserves (as a measure of depletion) showed that although the control rules allowed effort to increase at first, in the long term, they were effective at maintaining spawning stock biomass and yield for all simulated species, including depleted ones.
  • 34.
    An assessment of methods to improve fisheries data collection and monitoring efforts to inform stock assessment and management.
  • 35.
    Using length-frequency of the catch, three simple and easily understood indicators are estimated to assess the status and trends of the fishery.
  • 36.
    Excel workbook containing worksheets to aid in the application of the Catch Curve, MPA Catch Curve, LBAR, and Length-Based SPR assessment methods. See accompanying Length Based Methods Primer for more information. The Downloadable Workbook also contains a version of this workbook filled in with examples, and an example data set to use when learning this method.
  • 37.
    Current fisheries management policies generally require an assessment of stock status, which is a difficult task when population and fisheries data are limited. Three simple metrics based on catch length compositions (i.e., that reflect exclusive take of mature individuals, Pmat; that consist primarily of fish of optimal size, the size at which the highest yield from a cohort occurs, Popt; and that demonstrate the conservation of large, mature individuals, Pmega) can be used to monitor population status relative to exploitation.
  • 38.
    This manual deals with the practical implementation of routine data collection and monitoring programmes. The data collection and monitoring programme is developed through a top-down approach, from the identification of the objectives down to the practical recording and management of data obtained from the fishery. The issues are dealt with both through detailed discussion and by using simple examples. The examples are mostly based on situations in tropical fisheries, and in particular, experience has been drawn from developing a data collection programme in Viet Nam. The main questions addressed in the manual are which fisheries data to collect, where and when to collect them.
  • 39.
    Authors present mizer, an R package for implementing dynamic size spectrum ecological models of an entire aquatic community subject to fishing. Multiple fishing gears can be defined and fishing mortality can change through time making it possible to simulate a range of exploitation strategies and management options.
  • 40.
    This worksheet is an offline version of the MPA Density Ratio calculator provided on this site. No-take marine protected areas (MPAs) and other well-enforced reference areas provide excellent baselines against which to compare fished stocks. Fish densities (measured in kg/ha) inside and outside the MPA can be estimated from the results of fishing or visual surveys. The MPA Density Ratio (fished/unfished fish density) can then be calculated to serve as an indicator of stock status.