Voss, Rüdiger, Quaas, Martin, Schmidt, Jörn , Stöven, Max Thilo, Francis, Tessa B., Levin, Phillip S., Armitage, Derek R., Cleary, Jaclyn S., Jones, R. Russ, Lee, Lynn C., Okamoto, Daniel K., Silver, Jennifer J., Thornton, Thomas F., Dressel, Sherri C., MacCall, Alec D. and Punt, André E. (2018) Quantifying the benefits of spatial fisheries management – An ecological-economic optimization approach. Ecological Modelling, 385 . pp. 165-172. DOI 10.1016/j.ecolmodel.2018.07.012.

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Abstract

Improving fisheries management is a key challenge in addressing the United Nations Sustainable Development Goal 2 (Zero Hunger) and support Goals 1 (No Poverty) and 14 (Life Below Water). However, sustaining the ocean’s living resources has important dimensions beyond food security, such as cultural values, which might be of equal importance in some settings. Fisheries management faces special challenges when there is a mismatch between biological units and management units, e.g., when ecological spatial structures are not reflected in how catch limits are set. This might result in overexploitation and even the loss of sub-stocks. We use a spatially structured ecological-economic model parameterized for a pelagic schooling fish to examine how the benefits of implementing spatially differentiated fisheries management depend on biological parameters. We focus on a subset of socio-ecological variables, i.e., fisheries yield, present value of economic surplus, and loss of spawning sites (which might be linked to loss of cultural values) to demonstrate that, in theory, ideally differentiated spatial management can be implemented without exact information about recruitment behavior. For imperfectly differentiated spatial management, however, knowledge about recruitment behavior becomes key to avoiding economic losses and to sustaining stock structure, especially when there is large spatial heterogeneity in biological parameters. Knowledge about variability in site-specific productivity determines the expectation of achievable sustainable harvest levels. Further research on such ecological issues is therefore warranted, both for ecological as well as economic reasons.

Document Type:	Article
Keywords:	Ecological-economic model, Spatial management, Recruitment models, Pacific herring, Precautionary approach, Entrainment
Research affiliation:	Kiel University > Kiel Marine Science OceanRep > The Future Ocean - Cluster of Excellence Kiel University
Refereed:	Yes
Open Access Journal?:	No
Publisher:	Elsevier
Projects:	Future Ocean
Date Deposited:	30 Jan 2019 11:11
Last Modified:	08 Feb 2021 07:39
URI:	https://oceanrep.geomar.de/id/eprint/45560

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