Bibliography and Index of the Sirenia and Desmostylia  


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"Sheppard, James K."

 
 
Maitland, R. N.; Lawler, Ivan R.; Sheppard, James K. (detail)
   
2006
Assessing the risk of boat strike on dugongs (Dugong dugon) at Burrum Heads, Queensland, Australia.
Pacif. Conserv. Biol. 12: 321-327.
 
 
Sheppard, James K.; Preen, Anthony R.; Marsh, Helene D.; Lawler, Ivan R.; Whiting, Scott D.; Jones, Rhondda E. (detail)
   
2006
Movement heterogeneity of dugongs, Dugong dugon (Müller) over large spatial scales.
Jour. Exper. Mar. Biol. Ecol. 334(1): 64-83.
 
 
Sheppard, James K.; Lawler, Ivan R.; Marsh, Helene D. (detail)
   
2007
Seagrass as pasture for seacows: landscape-level dugong habitat evaluation.
Estuarine, Coastal & Shelf Science 71(1-2): 117-132. 3 tabs. 9 figs. Published online Aug. 30, 2006.
 
 
Sheppard, James K.; Carter, A. B.; McKenzie, Len J.; Pitcher, C. R.; Coles, Rob G. (detail)
   
2008
Spatial patterns of sub-tidal seagrasses and their tissue nutrients in the Torres Strait, northern Australia: implications for management.
Continental Shelf Research 28: 2282-2291.
 
 
Sheppard, James K.; Jones, Rhondda E.; Marsh, Helene D.; Lawler, Ivan R. (detail)
   
2009
Effects of tidal and diel cycles on dugong habitat use.
Jour. Wildl. Management 73: 45-59.
 
 
Sheppard, James K.; Marsh, Helene D.; Jones, Rhondda E.; Lawler, Ivan R. (detail)
   
2010
Dugong habitat use in relation to seagrass nutrients, tides, and diel cycles.
Mar. Mamm. Sci. 26(4): 855-879. 4 tabs. 7 figs. Oct. 2010.
 
 
Hagihara, Rie; Jones, Rhondda E.; Sheppard, James K.; Hodgson, Amanda J.; Marsh, Helene D. (detail)
   
2011
Minimizing errors in the analysis of dive recordings from shallow-diving animals.
Journal of Experimental Marine Biology and Ecology 399(2): 173-181. 1 table. 5 figs. DOI: 10.1016/j.jembe.2011.01.001 April 2011.
–ABSTRACT: Knowledge of the diving behaviour of aquatic animals expanded considerably with the invention of time–depth recorders (TDRs) in the 1960s. The large volume of data acquired from TDRs can be analyzed using dive analysis software, however, the application of the software has received relatively little attention. We present an empirical procedure to select optimum values that are critical to obtaining reliable results: the zero-offset correction (ZOC) and the dive threshold. We used dive data from shallow-diving coastal dugongs (Dugong dugon) and visual observations from an independent study to develop and test a procedure that minimizes errors in characterizing dives. We initially corrected the surface level using custom software. We then determined the optimum values for each parameter by classifying dives identified by an open-source dive analysis software into Plausible and Implausible dives based on the duration of dives. The Plausible dives were further classified as Unrecognized dives if they were not identified by the software but were of realistic dive duration. The comparison of these dive types indicated that a ZOC of 1 m and a dive threshold of 0.75 m were the optimum values for our dugong data as they gave the largest number of Plausible dives and smaller numbers of other dive types. Frequency distributions of dive durations from TDRs and independent visual observations supported the selection. Our procedure could be applied to other shallow-diving animals such as coastal dolphins and turtles.
 
 
Marmontel, Miriam; Reid, James; Sheppard, James K.; Morales-Vela, Benjamin (detail)
   
2012
Tagging and movements of sirenians. Chap. 13 in: E. M. Hines et al. (eds.), Sirenian conservation: issues and strategies in developing countries (q.v.).
Gainesville, University Press of Florida (xiv + 326): 116-125. 1 tab. 4 figs.
 
 
Moraes-Arraut, Eduardo; Ortega-Argueta, Alejandro; Olivera-Gómez, Leon D.; Sheppard, James K. (detail)
   
2012
Delineating and assessing habitats for sirenians. Chap. 18 in: E. M. Hines et al. (eds.), Sirenian conservation: issues and strategies in developing countries (q.v.).
Gainesville, University Press of Florida (xiv + 326): 157-167. 3 tabs.
–Includes box essay by Moraes-Arraut & Miriam Marmontel (p. 164, "Case study: Seasonal migrations by Amazonian manatees").
 
 
Hagihara, Rie; Jones, Rhondda E.; Grech, Alana; Lanyon, Janet M.; Sheppard, James K..; Marsh, Helene D. (detail)
   
2014
Improving population estimates by quantifying diving and surfacing patterns: A dugong example.
Marine Mammal Science 30(1): 348-366. 3 tabs. 3 figs. DOI: 10.1111/mms.12041. January 2014.
–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.

Daryl P. Domning, Research Associate, Department of Paleobiology, National Museum of Natural History, Smithsonian Institution, Washington, D.C. 20560, and Laboratory of Evolutionary Biology, Department of Anatomy, College of Medicine, Howard University, Washington, D.C. 20059.
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