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Dolphin ages, pod health revealed with drone photographs

Date:
June 28, 2023
Source:
University of Hawaii at Manoa
Summary:
Using unoccupied aerial system, or drone, photographs, researchers are now able to determine the age-structure of free-ranging dolphin groups. This work will aid monitoring the health of dolphin populations and inform timely conservation efforts.
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Using unoccupied aerial system (UAS), or drone, photographs, researchers from the University of Hawai'i (UH) at Manoa School of Ocean and Earth Science and Technology (SOEST) are now able to determine the age-structure of free-ranging dolphin groups. This work will aid monitoring the health of dolphin populations and inform timely conservation efforts. The findings of the study that developed and applied this new technique were recently published in Ecology and Evolution.

When dolphins come to the surface to breathe, they expose their blowhole and dorsal fin. By measuring the distance between the two, researchers can estimate their total body length. Since total length is related to age, the international team of researchers, led by scientists at the Hawai'i Institute of Marine Biology (HIMB) in SOEST, developed a technique of inferring age based on length for each measured dolphin within a group.

"This method can help us quantify the age-structure of free-ranging populations," said Fabien Vivier, lead author of the study and marine biology doctoral candidate in the Marine Mammal Research Program at HIMB. "Healthy dolphin populations usually contain a certain proportion of newborn, immature, and mature animals, while deviances from this distribution may be interpreted as a population growth or decline."

Previous studies documented encouraging results of using drone photography to study and measure the size and body condition of large whales. However, no studies had applied this approach to assessing small dolphins, such as bottlenose dolphins.

"Because it is difficult working with free-ranging animals, we could not be sure if it would work out as planned," said Vivier.

To understand whether analyzing UAS photos would be reliable for estimating the length of free-swimming dolphins, the researchers collaborated with Dolphin Quest O'ahu and tested the method on their bottlenose dolphins. They then tested the approach in estimating the age-class of free-ranging dolphins by collaborating with the Sarasota Dolphin Research Program in Florida, the world's longest-running dolphin research project.

The Sarasota Dolphin Research Program provided the age, total body length, and distance between the blowhole and dorsal fin for many individuals in their study community. This offered the unique opportunity to calibrate and test the accuracy of the team's age estimates and the inferred age-class based on length for free-ranging individuals.

"Our hope in developing and using this method is that we can quickly monitor the health of free-ranging dolphin populations," said Vivier. "This may facilitate the detection of early signs of population changes, for example, a decrease in the number of calves, and provide important insights for timely management decisions."

While this method was developed on bottlenose dolphins, it can be applied to other dolphin species which will aid in their monitoring and conservation. The team's current research focuses on spinner dolphins in the main Hawaiian Islands.


Story Source:

Materials provided by University of Hawaii at Manoa. Original written by Marcie Grabowski. Note: Content may be edited for style and length.


Journal Reference:

  1. Fabien Vivier, Randall S. Wells, Marie C. Hill, Kymberly M. Yano, Amanda L. Bradford, Eva M. Leunissen, Aude Pacini, Cormac G. Booth, Julie Rocho‐Levine, Jens J. Currie, Philip T. Patton, Lars Bejder. Quantifying the age structure of free‐ranging delphinid populations: Testing the accuracy of Unoccupied Aerial System photogrammetry. Ecology and Evolution, 2023; 13 (6) DOI: 10.1002/ece3.10082

Cite This Page:

University of Hawaii at Manoa. "Dolphin ages, pod health revealed with drone photographs." ScienceDaily. ScienceDaily, 28 June 2023. <www.sciencedaily.com/releases/2023/06/230628201430.htm>.
University of Hawaii at Manoa. (2023, June 28). Dolphin ages, pod health revealed with drone photographs. ScienceDaily. Retrieved December 21, 2024 from www.sciencedaily.com/releases/2023/06/230628201430.htm
University of Hawaii at Manoa. "Dolphin ages, pod health revealed with drone photographs." ScienceDaily. www.sciencedaily.com/releases/2023/06/230628201430.htm (accessed December 21, 2024).

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