Model system developed by researchers to evaluate the effectiveness of shark sanctuaries

Model system developed by researchers to evaluate the effectiveness of shark sanctuaries

Virginia Tech researchers in the College of Natural Resources and⁢ Environment are⁣ assessing the efficacy of shark sanctuaries by​ developing ⁢a modeling‌ system that ⁣utilizes publicly accessible fishing data to determine shark catch and ⁢mortality⁣ rates. Published in the journal Science Advances, ⁤their findings represent an ⁢important step in‍ utilizing data science to tackle oceanic conservation challenges.

“Shark sanctuaries are coastal areas designated by countries as places ​where the ‍targeted fishing of sharks is prohibited,” said Brendan Shea, a Ph.D. student in the Department ⁢of Fish and Wildlife Conservation and the paper’s lead author. “My initial ambition ‍was to use publicly available data to look at these sanctuaries ⁢from a high-level perspective, understanding how much fishing is ‌occurring in these areas and what the potential risks are to sharks.”

That goal led ‍Shea to collaborate with Assistant Professor‌ Francesco Ferretti, who ⁢encouraged Shea to take the research‌ further. Ferretti suggested‍ that shark sanctuary data could be utilized‍ to develop ‍a model that could provide numbers on how many sharks ​were being ⁢caught from fishing in protected waters, and⁣ how many ‌will die from the experience.

“Unlike some other marine protected areas that ban commercial fishing entirely, shark sanctuaries still allow fishing ⁢to occur, and ‍anytime you have fishing, ‍you’re going ⁤to catch sharks,” said Shea. “The stress of​ being caught​ and released means that you’re going to have some unintended mortalities of sharks in these sanctuaries, even if all sharks are released.”

To estimate catch and mortality‌ rates ‌for oceanic shark species, the research team utilized positioning data of fishing vessels from‍ Global Fishing Watch,⁢ an open-access website that provides a global view of commercial fishing activities around ⁤the ⁣world ‌to advance ocean governance. The‍ group ‌also collected publicly available​ data ​from regional fisheries management organizations to ‍create a model that would estimate the impacts of longline fishing on seven species of open-ocean sharks.

2023-09-11 16:48:03
Article from‌ phys.org

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