Movement, home range, and depredation of invasive lionfish revealed by fine-scale acoustic telemetry in the northern Gulf of Mexico

2020 ◽  
Vol 167 (8) ◽  
Author(s):  
Kristen A. Dahl ◽  
William F. Patterson
2015 ◽  
Vol 3 (1) ◽  
Author(s):  
Margaret M. Lamont ◽  
Ikuko Fujisaki ◽  
Brail S. Stephens ◽  
Caitlin Hackett

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Holden E. Harris ◽  
Alexander Q. Fogg ◽  
Micheal S. Allen ◽  
Robert N. M. Ahrens ◽  
William F. Patterson

Author(s):  
Matthew D. Campbell ◽  
Adam G. Pollack ◽  
Kevin Thompson ◽  
Ted Switzer ◽  
William B. Driggers ◽  
...  

2018 ◽  
Vol 20 (12) ◽  
pp. 3659-3659
Author(s):  
Kristen A. Dahl ◽  
William F. Patterson ◽  
Alison Robertson ◽  
Alice C. Ortmann

2017 ◽  
Vol 19 (6) ◽  
pp. 1917-1933 ◽  
Author(s):  
Kristen A. Dahl ◽  
William F. Patterson ◽  
Alison Robertson ◽  
Alice C. Ortmann

2013 ◽  
Author(s):  
Jennifer A McKinney ◽  
Eric R Hoffmayer ◽  
Jim S Franks ◽  
Jill M Hendon ◽  
William B Driggers

Background: Reports of whale sharks (Rhincodon typus) in the northern Gulf of Mexico (GOM) date back to the 1930s. In 2003, the Northern Gulf of Mexico Whale Shark Research Program was established and began making directed efforts to document the regional occurrence, seasonal distribution and habitat preferences of whale sharks. Methods: Whale shark sightings data (WSS: 1989 – present; n=644) and tagging geoposition data (TD: 2009-2012; n=450) were used in seasonal kernel density (KD) analyses to delineate home range (95%) and core habitat (50%) use areas in the northern GOM. Kernel density estimation of distribution is a statistically robust manner of handling data sources with differing sampling designs (anecdotal vs. directed). Habitat use patterns from the two datasets were used to identify critical use areas. Results: In the study area, whale shark home range was 276,000 km2 (WSS) to 369,000 km2 (TD) in size, with 52,000 km2 (WSS) to 62,000 km2 (TD) being core habitat. Whale shark habitat use varied seasonally, with the largest home range occurring during summer (WSS: 213,000 km2) and fall (TD: 221,000 km2). Tag data revealed more winter habitat (75,000 km2) than the sightings dataset (41,000 km2), which was shifted further offshore to slope waters. Significant use patterns occurred along the continental shelf-edge, encompassing shelf-edge banks south of Louisiana, and near the mouth of the Mississippi River. Conclusions: The combination of sightings data and satellite tagging data represents an effective methodology for assessing seasonality of occurrence, distribution, and habitat use of whale sharks. Shelf-edge bank habitats were most commonly used by whale sharks in the region. Satellite tagging data provided additional evidence of connectivity between multiple jurisdictions, which lends support for international management of the species.


2017 ◽  
Vol 75 (2) ◽  
pp. 751-763 ◽  
Author(s):  
Adam T Greer ◽  
Luciano M Chiaverano ◽  
Jessica Y Luo ◽  
Robert K Cowen ◽  
William M Graham

Abstract Pelagia noctiluca is a venomous, globally distributed holoplanktonic scyphomedusa that periodically forms aggregations in coastal environments, yet little is known about its ecology and behaviour in the northern Gulf of Mexico (nGOM). Using a high resolution plankton imaging system, we describe the patch characteristics of Pelagia medusae in relation to fine-scale biological and physical variables during two summers at shallow (∼25 m, 2016) and deeper (∼45 m, 2011) sampling areas on the nGOM shelf. At the deeper site during the day, average Pelagia medusae concentrations just underneath a surface plume of fresher water (10–25 m) ranged from 0.18 to 0.91 ind. m−3, with a Lloyd’s patchiness index of 13.87, indicating strong aggregation tendencies (peak fine-scale concentration reached 27 ind. m−3). These patches were often associated with horizontal gradients in salinity, and concentrations of several zooplankton taxa (e.g. chaetognaths, hydromedusae, siphonophores, and ctenophores) were significantly negatively correlated with Pelagia medusae abundance (p < 0.0001, Spearman correlations). Although larval fish abundance was not correlated with Pelagia medusae on the 1 m3 scale (19.25 m horizontal distance), larval and juvenile fishes between 0.6 and 2.0 cm aggregated underneath the bell of some Pelagia medusae during the daytime only, even within hypoxic waters. Vertical distributions collected on a diel cycle demonstrated that Pelagia medusae perform a reverse diel vertical migration constrained by low salinity near the surface. These data suggest that salinity changes drive the distribution of Pelagia medusae vertically and horizontally, and when sufficient concentrations are present, medusae are capable of exerting a top-down effect on the abundances of their zooplankton prey. For zooplankton with high visual acuity, such as larval and juvenile fishes, the relationship with Pelagia medusae may change on a diel cycle and depend on the sensory ability of potential prey.


2013 ◽  
Author(s):  
Jennifer A McKinney ◽  
Eric R Hoffmayer ◽  
Jim S Franks ◽  
Jill M Hendon ◽  
William B Driggers

Background: Reports of whale sharks (Rhincodon typus) in the northern Gulf of Mexico (GOM) date back to the 1930s. In 2003, the Northern Gulf of Mexico Whale Shark Research Program was established and began making directed efforts to document the regional occurrence, seasonal distribution and habitat preferences of whale sharks. Methods: Whale shark sightings data (WSS: 1989 – present; n=644) and tagging geoposition data (TD: 2009-2012; n=450) were used in seasonal kernel density (KD) analyses to delineate home range (95%) and core habitat (50%) use areas in the northern GOM. Kernel density estimation of distribution is a statistically robust manner of handling data sources with differing sampling designs (anecdotal vs. directed). Habitat use patterns from the two datasets were used to identify critical use areas. Results: In the study area, whale shark home range was 276,000 km2 (WSS) to 369,000 km2 (TD) in size, with 52,000 km2 (WSS) to 62,000 km2 (TD) being core habitat. Whale shark habitat use varied seasonally, with the largest home range occurring during summer (WSS: 213,000 km2) and fall (TD: 221,000 km2). Tag data revealed more winter habitat (75,000 km2) than the sightings dataset (41,000 km2), which was shifted further offshore to slope waters. Significant use patterns occurred along the continental shelf-edge, encompassing shelf-edge banks south of Louisiana, and near the mouth of the Mississippi River. Conclusions: The combination of sightings data and satellite tagging data represents an effective methodology for assessing seasonality of occurrence, distribution, and habitat use of whale sharks. Shelf-edge bank habitats were most commonly used by whale sharks in the region. Satellite tagging data provided additional evidence of connectivity between multiple jurisdictions, which lends support for international management of the species.


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