Bren School of Environmental Science and Management, University of California, Santa Barbara, CA 93106, USA.
Proc Natl Acad Sci U S A. 2010 Oct 26;107(43):18294-9. doi: 10.1073/pnas.0908057107. Epub 2010 Feb 22.
The science of spatial fisheries management, which combines ecology, oceanography, and economics, has matured significantly. As a result, there have been recent advances in exploiting spatially explicit data to develop spatially explicit management policies, such as networks of marine protected areas (MPAs). However, when data are sparse, spatially explicit policies become less viable, and we must instead rely on blunt policies such as total allowable catches or imprecisely configured networks of MPAs. Therefore, spatial information has the potential to change management approaches and thus has value. We develop a general framework within which to analyze the value of information for spatial fisheries management and apply that framework to several US Pacific coast fisheries. We find that improved spatial information can increase fishery value significantly (>10% in our simulations), and that it changes dramatically the efficient management approach-switching from diffuse effort everywhere to a strategy where fishing is spatially targeted, with some areas under intensive harvest and others closed to fishing. Using all available information, even when incomplete, is essential to management success and may as much as double fishery value relative to using (admittedly incorrect) assumptions commonly invoked.
空间渔业管理科学融合了生态学、海洋学和经济学，已经取得了显著的发展。因此，最近在利用空间明确数据制定空间明确管理政策方面取得了进展，例如海洋保护区网络。然而，当数据稀疏时，空间明确的政策变得不太可行，我们必须转而依赖于总允许捕捞量或配置不当的海洋保护区网络等生硬政策。因此，空间信息有可能改变管理方法，因此具有价值。我们开发了一个通用框架，用于分析空间渔业管理的信息价值，并将该框架应用于美国太平洋沿岸的几个渔业。我们发现，改进的空间信息可以显著提高渔业价值（在我们的模拟中超过 10%），并且它极大地改变了有效的管理方法——从无处不在的分散努力转变为空间靶向捕捞的策略，一些地区密集捕捞，其他地区禁止捕捞。即使信息不完整，也要充分利用所有可用信息，这对于管理成功至关重要，与使用通常采用的（诚然不正确的）假设相比，可能会使渔业价值增加一倍以上。
