Suzanne Teerlink and Larissa Horstmann
Transcription
Suzanne Teerlink and Larissa Horstmann
Suzanne Teerlink and Larissa Horstmann-Dehn School of Fisheries and Ocean Sciences, University of Alaska Fairbanks Conclusions Juneau Whale Watching • May - September • Over 200,000 tourist/year • 35+ boats (ranging from 6 -150 passenger vessels) • ~ $25 million in annual revenue • 2-30 humpback whales in the area at a time Issue Humpback whales near Juneau are subject to high numbers of whale-watching vessels, though, we lack formal monitoring of whales in this area. Goal To evaluate citizen science as a tool in monitoring humpback whales near Juneau. Methods September, 2006 August, 2013 Parameters Compared Fig. 1: Example of a re-sighted individual, fluke matches from separate days allow us to construct sighting histories for individuals. - Mark-recapture abundance estimates using a Huggins closed-capture model - Site fidelity (cumulative proportion of re-sights to total sightings) - Transience (proportion of whales with single sightings to multiple sightings) This comparison was intended to objectively assess biases from whale-watch platforms (CS) compared to dedicated surveys. Acknowledgements This project is funded by the NSF MESAS IGERT and the North Pacific Research Board. Thank You to Gastineau Guiding Co. for their extensive participation in this project. *Photos taken under Scientific Research Permit # 14296 Results Survey How does CS CS Compare? Site Fidelity 0.56 0.63 Overes,mated Transience 0.55 0.54 Similar Site Fidelity 0.62 0.84 Overes;mated Transience 0.51 0.39 Underes;mated 2013 2014 Fig. 2 Comparison of mark-recapture abundance estimates. Number below data source is the total # of sightings that went into the analysis. Error bars 95% CI. 100 Table 1: Comparison of data from dedicated surveys to citizen science data. 2013 80 2014 Drawbacks of Citizen Science • Inflated occurrences of re-sightings biases estimates of sight fidelity and transience. • These biases are likely due to the tendency of whale watching captains to return to areas where they previously found whales. Advantages of Citizen Science • Utilizes existing platforms (thus decreasing project overhead and additional vessel traffic). • Increases stakeholder participation & education. • Especially useful for documentation of whales with high site fidelity and has potential to be useful in monitoring. Recommendations • Reliable abundance estimates may be possible from citizen science data if the effort is high enough to outweigh re-sighting bias. • Citizen science data is best used as a compliment to dedicated surveys- the best abundance estimates came from combined CS and dedicated survey data. 60 # Whales We compared sighting history data (Fig. 1) from 2013-14 contributed photos from Gastineau Guiding Co. and other sources referred to here as Citizen Science (CS) data to data collected simultaneously from our own traditional weekly dedicated surveys (Survey). In 2014, abundance estimates from both Survey and CS are lower than the known minimum (Total Unique IDs), and therefore are both underestimations (Fig. 2). 40 20 0 Survey (85) CS (57) Total (142) # Unique IDs Survey (144) CS (347) Total (491) Abundance Estimate • Citizen science effort was relatively small in 2013 and much higher in 2014 (Fig. 2 – Number in parentheses). • Especially in 2014, Transience was underestimated with CS data (and site fidelity overestimated. Table 1). • CS data significantly underestimated abundance in 2013 when effort was low, but was a good proxy in 2014 when effort was high (Fig 2). Where to next? • Continue citizen science program 2015. • Share results with participants and continue to foster an open, collaborative relationship with stakeholders. • Use AIS vessel tracking data from whale watching vessels as a proxy for whale locations to give us temporal-spatial trends in habitat use within the Juneau area.
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