Patterns in Juvenile Red Snapper Distribution and Association with the Shrimp Fishery: a Step Toward Marine Spatial Planning Paula Moreno, Ph.D. USM, Gulf Coast Research Laboratory Department of Coastal Sciences GI Annual Conference - Stennis Space Center May 23, 2012
Red Snapper Stock(s) High commercial and recreational value Overfished since 1980s High juvenile mortality (bycatch) in shrimp fishery Rebuilding stock to MSY by 2032 Amendment 27/14 allows SH time-area closures in 18m-55m water depth
Shrimp fishery closure(s) 31 ± Alabama FL TX closure: seasonal 28 Amend. 27/14 potential closure: 18-55m 26 24 0 120 240 km Closure Amend. 27/14 m, m 23 98 W 97 W 96 W 95 W 94 W 93 W 92 W 91 W 90 W 88 W 87 W
Goals Study Goal: Identify an area where a potential seasonal closure maximizes RS survival and minimizes negative impact on SH effort GI Themes and OAA Goals: Geospatial data/information and visualization in environmental science; Protect, restore, and manage the use of coastal and ocean resources through an ecosystem approach to management.
Methods SH: ELB data (year-round) Age-1 RS: Trawl SEAMAP, MFS data (summer) Period covered: 5-08 Spatial coverage: W Gulf grid (20km x 20km cells) Analytical techniques: GAM and GIS
RS abundance and SH effort Mean RS Abundance 5-8 Mean SH Effort 5-8 ± ± 28 28 West Center East West Center East 26 Mean RS in 5-8 26 Mean SH in 5-8 24 0 90 180 km CPUE 0.000000 0.001-1.972 1.972-7.149 7.149-32.941 m, m 24 0 90 180 km -min tows 1.50-91.00 91.00-2449.00 2449.00-4038.33 4038.33-21959.00 m, m 97 W 96 W 95 W 94 W 93 W 92 W 91 W 90 W 97 W 96 W 95 W 94 W 93 W 92 W 91 W 90 W
Persistence of high RS and low SH umber of Years of High Abundance of RS umber of Years of Low Effort of SH ± ± 28 28 26 0 80 160 km Persistence of High RS umber of Years 1 Yr 2 Yr 3 Yr 4 Yr m, m 26 0 80 160 km Persistence of Low SH umber of Years 1 Yr 2 Yr 3 Yr 4 Yr m, m 97 W 96 W 95 W 94 W 93 W 92 W 91 W 90 W 97 W 96 W 95 W 94 W 93 W 92 W 91 W 90 W
Overlap High RS Low SH West Center East 8 West 0.0 0.2 0.4 0.6 0.8 8 Center 8 East 8 SH-Q1 RS-Q3 Overlap 7 West 7 Center 7 East 7 SH-Q1 RS-Q3 Overlap 6 West 6 Center 6 East 6 SH-Q1 RS-Q3 Overlap 5 West 5 Center 5 East 5 SH-Q1 RS-Q3 Overlap 0.0 0.2 0.4 0.6 0.8 0.0 0.2 0.4 0.6 0.8 Area
Environmental Effects ± Region 28 26 West Center East 0 80 160 km Study Area with Region Classification Region Center East West m, m 97 W 96 W 95 W 94 W 93 W 92 W 91 W 90 W Partial for r3f -1.0-0.5 0.0 Center cent east west East r3f West
Environmental Effects Shrimp fishery effort Depth s(i(log(sh_tow)),2.99) -3-2 -1 0 1 s(i(log(avgdepth)),4.99) -3-2 -1 0 1 0 2 4 6 8 I(log(SH_tow)) 2.5 3.0 3.5 4.0 4.5 I(log(avgDepth))
Combined Depth-SH Effects response response SH_tow avgdepth avgdepth SH_tow
Prime RS habitat Moderate SH ± 28 West Center East 26 24 0 90 180 km RS Habitat Preference Prime, SH moderate, region W-C m, m 97 W 96 W 95 W 94 W 93 W 92 W 91 W 90 W
Seasonal Closure 31 ± 28 West Center East 26 24 0 km Seasonal Closures Potential Overlap TX Closure m, m 98 W 97 W 96 W 95 W 94 W 93 W 92 W 91 W 90 W 88 W
Summary Reduced potential closure : Targets prime RS habitat and moderate SH Central W Gulf > 50% area overlap w/ TX closure < 50% area of Amend. 18-55m range within study area Current HAPCs under-represent prime habitat for juvenile RS 28 West Center East 26 0 80 160 km RS Habitat Preference Prime, SH moderate, region W-C HAPCs m, m 97 W 96 W 95 W 94 W 93 W 92 W 91 W 90 W
Summary Spatially-explicit modeling enhances : Coastal Marine Spatial Planning (Ocean Policy T. F. 20) identifies areas most suitable for various types or classes of activities in order to reduce conflicts among uses, reduce environmental impacts, facilitate compatible uses, and preserve critical ecosystem services to meet economic, environmental, security, and social objectives. MFS Habitat Assessment Improvement Plan (MFS 20) habitat-specific biological information, geospatial information on habitat characteristics, and development and application of indices to monitor habitat condition related to fish production. Can be extended to multi-species, ecosystem productivity measures, and to include other major environmental factors
Special Thanks Michael Mathews MFS Pascagoula Lab.- Walter Ingram, Adam Pollack, Charles Armstrong MFS Galveston Lab.- Jim ance, Liz Scott-Denton LGL Thank you! A. Apeitos A. Apeitos G. Gray