4.3 Article

Home Ranges of Bottlenose Dolphins (Tursiops truncatus) in the Indian River Lagoon, Florida: Environmental Correlates and Implications for Management Strategies

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ECOHEALTH
卷 5, 期 3, 页码 278-288

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SPRINGER
DOI: 10.1007/s10393-008-0194-9

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bottlenose dolphin; Indian River Lagoon; photo-identification; environmental characterization; home range; ecosystem health

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  1. ''Protect Wild Dolphins'' license plate program

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Photo-identification surveys conducted between 2002 and 2005 were used to determine dolphin home ranges and site fidelity within the Indian River Lagoon (IRL), Florida. The IRL was divided into six segments based on hydrodynamics and geographic features for purposes of characterization. Among the 615 dolphins with identifiable dorsal fins, 339 had a parts per thousand yen6 sightings and were used in segment and linear range analyses. The majority (98%) of dolphins were seen in a parts per thousand currency sign3 consecutive segments (331/339); of these, 44% (144/331) occurred in two segments, and 33% (109/331) in one segment. No dolphins were observed in all six segments. The largest number of dolphins was sighted in segment 1C (North Indian River). However, the highest density of dolphins was found in segment 2 (North-Central Indian River). Re-sighting rates for dolphins with a parts per thousand yen6 sightings ranged from 2.8 to 8.7 times observed. The mean linear home range varied from 22 to 54 km. Distributional analyses indicated that at least three different dolphin communities exist within the IRL: Mosquito Lagoon, and the North and South Indian River. No statistically significant correlations were found between the total number or density per km(2) of dolphins and surface water area, salinity, or contaminant loads within segments of the lagoon. These results suggest that dolphins do not selectively avoid areas with relatively unfavorable water quality. IRL dolphins should be studied on smaller spatial scales than currently practiced, and potential anthropogenic impacts should be evaluated based on geographic partitioning.

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