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a Resulting value of each sector in each seed plan.b–d Maps of three of the seed plans as indicated in the legend of panel a To assess the value added by our MSP approach, we compared solutions along the efficiency frontier with outcomes expected under modeled representations of conventional planning.We assumed that conventional planning considers individual values and cumulative impacts of the aquaculture sectors but is neither comprehensive (considering individual impacts) nor coordinated (via simultaneous planning, Fig. We considered two possible characterizations of conventional planning: unconstrained aquaculture development, and constrained development that drives a balanced footprint of mussel, finfish, and kelp farms. اطارات بسيطة جدا. For both conventional planning approaches, we found that every sector does as well or better with MSP (Fig. For the four existing sectors, the benefits from MSP typically range 0–100% and increase with the level of aquaculture development.For the aquaculture sectors, the benefits from MSP also range 0–100%, but typically decline with aquaculture development.Value of MSP in relation to constrained (red filled circles) and unconstrained (pink open triangles) conventional planning, and for each sector in relation to level of development of each aquaculture sector The value of MSP is sensitive to the type of conventional planning examined (Fig. MSP benefits finfish and kelp aquaculture little relative to constrained planning, but substantially (often doubling their values) relative to unconstrained planning that allows the mussel sector to dominate aquaculture development because of its superior value/impact ratio at most sites.
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Accordingly, we used cluster analysis to identify five seed plans that represent the maximum amount of variation in spatial design among the 450 filtered plans (Fig. Although these plans specify different locations for development of the three types of aquaculture (Fig.5b–d), they all achieve considerable aquaculture value (9 million–2 billion, –51 million, and –1 million in annuities to the mussel, finfish, and kelp sectors, respectively) while minimizing impacts to the existing sectors (0–5% impact).Even if modified by stakeholders, these plans are likely to produce near optimal outcomes Seed plans selected from the filtered set using cluster analysis to represent maximum variation in spatial planning design. For example, under MSP the most consistently developed mussel sites are largely clustered in the central portion of the SCB (Fig.3b), despite the most profitable sites for the sector being located in the north. Despite the strict impact constraints, nearly a fifth of the developable sites are developed in this filtered set of spatial plans.Further, aquaculture development is minimized in the southern SCB where there are high-value halibut fishing grounds and where viewshed impacts would be highest. The percentage of the 279,936 optimal spatial plans containing each site in its developed state for (a) any form of aquaculture, and (b) mussel, (c) finfish, and (d) kelp aquaculture To highlight the utility of MSP for identifying a set of spatial plans that meet specific policy objectives, we filtered the 279,936 MSP solutions to those plans for which the impact of aquaculture development on each of the existing sectors is no 5% of their value, while each of the aquaculture sectors must achieve at least 5% of their value. Kelp farming, on average, achieves the highest relative value among the aquaculture sectors due to its relatively low impacts, and finfish achieves the lowest relative value, because it impacts all four existing sectors.