Modelling Trends in Cetacean Habitat Use and Density on the Southern CalCOFI Lines Greg Campbell 1 , Cornelia Oedekoven 2 , Dominque Camacho 3 Lisa Munger 1 , Karlina Merkens 1 , Andrea Havron 3 , Annie Douglas 4 , John Calambokidis 4 and John Hildebrand 1 1 Scripps Institution of Oceanography, La Jolla 2 University of St Andrews, St. Andrews, UK 3 Spatial Ecosystems, Olympia, WA 4 Cascadia Research Collective, Olympia, WA
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Modelling Trends in Cetacean Habitat Use and Density on the Southern CalCOFI Lines
Lisa Munger1, Karlina Merkens1, Andrea Havron3, Annie Douglas4, John Calambokidis4 and John Hildebrand1
Sara Kerosky
1Scripps Institution of Oceanography, La Jolla 2University of St Andrews, St. Andrews, UK 3Spatial Ecosystems, Olympia, WA 4Cascadia Research Collective, Olympia, WA
• Detailed knowledge of cetacean distribution,
habitat use, density and abundance critical
for management/impact assessment. Importance
•Cetacean habitat use patterns, density and
abundance in SOCAL are not clearly defined.
• Characterize cetacean distribution and
habitat, estimate density/abundance,
and assess trends over time.
Status
Goals
Background
• Examine cetacean distribution relative
to oeanographic variables to
elucidate habitat use patterns.
Habitat
Modelling
• Develop cetacean density and abundance
estimates across seasons and years.
Distance
Sampling
• Create predictive models of cetacean
distribution and densities. Density
Surface
Modelling
Approach
Methods – Visual Monitoring
• Visual monitoring conducted during daylight transits between
CalCOFI stations.
• Two trained marine mammal observers on port and starboard,
scanning 90°with 7-power and 18-power binoculars.
• Species, group size, distance, angle and environmental data.
Modify shipping lane routes or identify speed reduction zones
Los Angeles
Point Conception
Courtesy of Megan McKenna March 10-13th2010 ship activity Source: Automatic Identification System (AIS) Note: Color represent direction of travel
• Expand habitat modelling analysis through
integration of larger and more diverse
sample of oceanographic data.
Habitat
Modelling
• Produce density and abundance estimates
for nine cetacean species with covariates.
Distance
Sampling
Next Steps
• Test less abundant species.
• Include variation in group size to assess
spatial and temporal trends.
Density
Surface
Modelling
Acknowledgements
• Observers and Acousticians: Robin Baird, Jessica Burtenshaw, Annie
Douglas, E. Elizabeth Henderson, Veronica Iriarte, Autumn Miller, Laura Morse, Erin Oleson Nadia Rubio Michael Smith, Melissa Soldevilla, Ernesto Vasquez, Katherine Whitaker, Suzanne Yin and Stephen Claussen.
• SIO & SWFSC CalCOFI: Dave Wolgast, Jen Wolgast, Jim Wilkinson,
Dave Faber, Amy Hays, Dave Griffith, Grant Susner
• St. Andrews University: Len Thomas, Steve Buckland