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Improving population estimates by quantifying diving and surfacing patterns: A dugong example
Authors:Rie Hagihara  Rhondda E Jones  Alana Grech  Janet M Lanyon  James K Sheppard  Helene Marsh
Institution:1. School of Earth and Environmental Sciences and School of Marine and Tropical Biology, James Cook University, , Townsville, Queensland, 4811 Australia;2. School of Marine and Tropical Biology, James Cook University, , Townsville, Queensland, 4811 Australia;3. School of Earth and Environmental Sciences and Australian Research Council Centre of Excellence for Coral Reef Studies, James Cook University, , Townsville, Queensland, 4811 Australia;4. School of Biological Science, The University of Queensland, , Brisbane, Queensland, 4072 Australia;5. School of Earth and Environmental Sciences, James Cook University, , Townsville, Queensland, 4811 Australia
Abstract:Diving animals are available for detection from above the water when environmental conditions are favorable and the animals are near the surface. The number of animals that are unavailable for detection needs to be estimated to obtain unbiased population estimates. The current availability correction factors used in aerial surveys for the dugong (Dugong dugon) allow for variation in environmental conditions but use the average time dugongs spend near the surface (i.e., constant availability corrections). To improve availability estimates, we examined location and dive data from nine dugongs fitted with satellite telemetry units and time‐depth recorders (TDRs) in eastern Australia. The effects of water depth, tidal conditions, and habitat types on dugong surfacing time were examined using generalized linear mixed models (GLMMs). We found that availability for detection differed with water depth, and depth‐specific availability estimates were often lower than the constant estimates. The habitat effect was less influential, and there was no tidal effect. The number of dugongs estimated using depth‐specific availabilities were higher than those obtained using constant availabilities across water depth. Hence, information on water depth can refine availability estimates and subsequent abundance estimates from dugong aerial surveys. The methodology may be applicable to other aquatic wildlife.
Keywords:availability bias  aerial survey  abundance estimation  population  generalized linear mixed model (GLMM)  diving  dugong  Sirenia  marine mammal
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