Identifying the potential for cross-fishery spillovers: a network analysis of Alaskan permitting patterns

Author:

Addicott Ethan T.1,Kroetz Kailin2,Reimer Matthew N.3,Sanchirico James N.4,Lew Daniel K.5,Huetteman Justine2

Affiliation:

1. School of Forestry and Environmental Studies, Yale University, New Haven, CT 06460, USA.

2. Resources for the Future, 1616 P Street NW, Washington, DC 20036, USA.

3. Institute of Social and Economic Research, Department of Economics and Public Policy, University of Alaska Anchorage, 3211 Providence Drive, Anchorage, AK 99508, USA.

4. Dept. of Environmental Science and Policy, University of California, Davis, One Shields Avenue, Davis, CA 95616, USA; University Fellow, Resources for the Future, 1616 P Street NW, Washington, DC 20036, USA.

5. Alaska Fisheries Science Center, National Marine Fisheries Service, NOAA and Dept. of Environmental Science and Policy, University of California, Davis, One Shields Avenue, Davis, CA 95616, USA.

Abstract

Many fishers own a portfolio of permits across multiple fisheries, creating an opportunity for fishing effort to adjust across fisheries and enabling impacts from a policy change in one fishery to spill over into other fisheries. In regions with a large and diverse number of permits and fisheries, joint-permitting can result in a complex system, making it difficult to understand the potential for cross-fishery substitution. In this study, we construct a network representation of permit ownership to characterize interconnectedness among Alaska commercial fisheries due to cross-fishery permitting. The Alaska fisheries network is highly connected, suggesting that most fisheries are vulnerable to cross-fishery spillovers from network shocks, such as changes to policies or fish stocks. We find that fisheries with similar geographic proximity are more likely to be a part of a highly connected cluster of susceptible fisheries. We use a case study to show that preexisting network statistics can be useful for identifying the potential scope of policy-induced spillovers. Our results demonstrate that network analysis can improve our understanding of the potential for policy-induced cross-fishery spillovers.

Publisher

Canadian Science Publishing

Subject

Aquatic Science,Ecology, Evolution, Behavior and Systematics

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