urban coast institute monmouth university june 15-16, 2009 presented by dilorenzo, tiedemann, danko
TRANSCRIPT
IntroductionUrban Coast Institute is a Monmouth
University Center of DistinctionRequested by PEW Charitable Trusts
to hold workshop on Fisheries Statistics
Independent Report prepared by Susan Kennedy
Summary presented
Purpose of Workshop based on Kennedy White Paper and NRC reportIdentify and summarize the sources
and uses of recreational fishing data in the Mid-Atlantic Region
Identify gaps or potential problems with the data
Uses for Kennedy White PaperDistribution to recreational fishing industry,
scientists, managers to:
Form a consensus on gaps and problems in data sources
Make recommendations on how to close gaps and develop a plan to ensure the development, collection and application of data in the future.
Workshop Focus on Research Needs and Data GapsDesign of surveyAdequate surveying of different fishing
sectors, e.g. “fishing for hire” industryDifferences between states and data
collected and methodology useCatch and Release data/discard and discard
mortality dataSpatial scale of data collection and spatial
scale of the application of data
Catch & Release/Discard and Discard MortalityIssues:Released catch cannot be inspected in an
onsite surveyRounding errors are commonExaggeration of size and number or under
reporting due to the nature of “remembering”Species identification errorsSize and age distribution of released fish may
be different than “kept” fish
Discard Mortality EstimatesReleased or Discarded fish may not surviveBias on length/weight conversions Inaccurate discard mortality assumptions
(e.g. 10% for summer flounder)
NRC RecommendationsMandatory log books to monitor catch &
release including discard mortalityOn board observers to validate information
including numbers, species, condition and size composition of released fish
Spatial Scale of Data Collection and ApplicationManagement decisions today require a finer
spatial scale than previously usedPublic perception issues have arisen on
spatial stratification of intercept sampling and statistical methodology used
NRC Recommendations on Spatial ScaleEnhance estimation process by incorporating
finite population sampling theory to reduce bias when estimates are applied to smaller sampling areas.
Provide greater public outreach on sampling methodology and spatial scale to improve public understanding
Workshop GoalsProvide input into methods for improving
recreational fisheries statistics data collection and application
Identify steps to move forward
Identify funding mechanisms for states and NMFS to implement recommendations from the workshop.