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The study, by Ecology, Evolution and Behavior (EEB) graduate student Matt Burgess and co-advisors Stephen Polasky (EEB and Applied Economics in the College of Food, Agricultural and Natural Resource Sciences) and David Tilman (EEB), was published on September 16 in the Early Edition of Proceedings of the National Academy of Sciences USA. Specifically, the work demonstrates how extinction and overfishing threats from multispecies fisheries can be identified decades before valuable species are over-harvested and populations decline.
Most of the world’s large fisheries use nets or lines with multiple hooks, which catch multiple species simultaneously and have serious ecological consequences. Past population declines and current increases in harvest rates can be used to assess current threats of overfishing and extinction, but this approach doesn’t apply to future threats. By predicting future threats, the researchers’ new method would enable conservation measures to prevent overfishing and extinction.
..."The data we collect includes estimates of the relative population sizes, catch rates and the growth rates of different fish populations," Burgess says. "This index uses what we know about what tends to happen to economically important fish to predict the fate of other species caught along with them."
The approach was tested on eight Pacific tuna and billfish populations; four of which have been identified recently by conventional methods as in decline and threatened with overfishing. The study found that the severe depletion of all four populations could have been predicted in the 1950s using the Eventual Threat Index. These results demonstrate that species threatened by human harvesting can be identified much earlier, providing time for adjustments in harvesting practices before consequences become severe and fishery closures or other socioeconomically disruptive interventions are required to protect species. Burgess says the index is easy and inexpensive to use. He hopes fisheries will adopt it soon....
A large lift net in Bengali-Veshal, shot by Balaram Mahalder, Wikimedia Commons, under the Creative Commons Attribution-Share Alike 3.0 Unported license
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