Assessing the Reliability of Fisher Self-Sampling Programs

Abstract The transition to catch share management for groundfish fisheries in the waters off the northeastern USA will require more monitoring than is presently obtained through traditional programs. Other types of at-sea reporting may be necessary to address data gaps and complement other sampling programs like the Northeast Fisheries Observer Program (NEFOP). Validation of fisher self-sampling programs, such as the study fleet program of the School for Marine Science and Technology (University of Massachusetts Dartmouth), provides another monitoring option to be used in conjunction with existing systems. In this paper, data from the study fleet program were compared with other fisheries-dependent data sources in the region. We tested for significant differences in catch at the trip, species, and haul levels by disposition (i.e., kept and discarded). Effort and length measurements for six commercial species were also analyzed. Catch results were mixed but similar for commercial species across comparisons...

[1]  M. Fogarty,et al.  NEFSC bycatch estimation methodology : allocation, precision, and accuracy , 2005 .

[2]  J. Link,et al.  Associations between Surficial Sediments and Groundfish Distributions in the Gulf of Maine–Georges Bank Region , 2006 .

[3]  S. Wigley,et al.  Length-weight relationships for 74 fish species collected during NEFSC research vessel bottom trawl surveys, 1992-99 , 2003 .

[4]  Andrew A. Rosenberg,et al.  Wasted fishery resources: discarded by‐catch in the USA , 2005 .

[5]  Michael Collins Palmer An evaluation of the northeast region's study fleet pilot program and electronic logbook system phases I and II , 2007 .

[6]  Paul J. Rago,et al.  The analytic component to the standardized bycatch reporting methodology omnibus amendment : sampling design, and estimation of precision and accuracy , 2007 .

[7]  Pierre Kleiber,et al.  Comparison of logbook reports of incidental blue shark catch rates by Hawaii-based longline vessels to fishery observer data by application of a generalized additive model , 2002 .

[8]  F. James Rohlf,et al.  Biometry: The Principles and Practice of Statistics in Biological Research , 1969 .

[9]  R. J. Fryer,et al.  Discarding practices for commercial gadoids in the North Sea , 1998 .

[10]  R. Kearney Fisheries property rights and recreational/commercial conflict: implications of policy developments in Australia and New Zealand , 2001 .

[11]  R. Färe,et al.  Adjusting technical efficiency to reflect discarding : The case of the U.S. Georges Bank multi-species otter trawl fishery , 2006 .

[12]  David Kilpatrick,et al.  Multistage cluster sampling design and optimal sample sizes for estimation of fish discards from commercial trawlers , 2002 .

[13]  Validating the stock apportionment of commercial fisheries landings using positional data from Vessel Monitoring Systems (VMS) , 2007 .

[14]  M. Giannoulaki,et al.  Seasonal and temporal trends in metrics of fish community for otter-trawl discards in a Mediterranean ecosystem , 2008 .

[15]  Jessica Gurevitch,et al.  Design and Analysis of Ecological Experiments , 1993 .

[16]  John Walden,et al.  Measuring Capacity of the New England Otter Trawl Fleet , 2001 .

[17]  Sarah Gaichas,et al.  Government-Industry Cooperative Fisheries Research in the North Pacific under the MSFCMA , 2001 .

[18]  Troy W. Hartley,et al.  Stakeholder Engagement, Cooperative Fisheries Research and Democratic Science: The Case of the Northeast Consortium , 2006 .

[19]  Michael J. Fogarty,et al.  Effort distribution and catch patterns adjacent to temperate MPAs , 2005 .