Department of Natural Sciences, Klaipeda University, H. Manto 84, LT-92294 Klaipėda, Lithuania; Institute of Geosciences, Vilnius University, M. K. Čiurlionio 21/27, LT-03101 Vilnius, Lithuania.
Consiglio Nazionale delle Ricerche, Istituto di Scienze Marine (CNR-ISMAR), Arsenale Tesa 104, Castello 2737/f, 30122 Venice, Italy; Marine Research Institute, Klaipėda University, H. Manto 84, LT-92294 Klaipėda, Lithuania.
Sci Total Environ. 2018 Sep 1;634:990-1003. doi: 10.1016/j.scitotenv.2018.03.361. Epub 2018 Apr 11.
Farming of shellfish and seaweeds is a tested tool for mitigating eutrophication consequences in coastal environments, however as many other marine economic activities it should be a subject of marine spatial planning for designating suitable sites. The present study proposes site selection framework for provisional zebra mussel farming in a eutrophic lagoon ecosystem, aimed primarily at remediation purposes. GIS-based multi-criteria approach was applied, combining data from empirical maps, numerical models and remote sensing to estimate suitability parameters. Site selection and prioritisation of suitable areas considered 15 environmental and socio-economic criteria, which contributed to 4 optimisation models (settlement, growth and survival of mussels, environmental and socio-economic) and 3 predefined scenarios representing provisional goals of mussel cultivation: spat production, biomass production and bioremediation. The relative importance of each criterion was assessed utilizing the Analytical Hierarchy Process. Site suitability index was calculated and the final result of the site selection analysis was summarized for 3 scenarios and overall suitability map. Four suitability classes (unsuitable, least, moderately and most suitable) were applied, and 3 most suitable zones for provisional zebra mussel cultivation with 12 candidate sites were selected accordingly. The integrated approach presented in this study can be adjusted for designating zebra mussel farming sites in other estuarine lagoon ecosystems, or cultivation of other mussel species for bioremediation purposes. The analytical framework and the workflow designed in this study are also adoptable for addressing other aquaculture-related spatial planning issues.
贝类和海藻养殖是减轻沿海环境富营养化后果的一种经过验证的工具,但与许多其他海洋经济活动一样,它也应该成为海洋空间规划的主题,以指定合适的地点。本研究提出了在富营养化泻湖生态系统中临时斑马贻贝养殖的选址框架,主要目的是进行修复。应用了基于 GIS 的多标准方法,结合经验图、数值模型和遥感数据来估计适宜性参数。选址和优先考虑适宜区域考虑了 15 个环境和社会经济标准,这些标准为 4 个优化模型(贻贝的定居、生长和存活、环境和社会经济)和 3 个预设场景做出了贡献,这 3 个预设场景代表了贻贝养殖的临时目标:苗种生产、生物量生产和生物修复。利用层次分析法评估了每个标准的相对重要性。计算了选址适宜性指数,并总结了 3 个方案和整体适宜性图的选址分析结果。应用了 4 个适宜性等级(不适宜、最低、中等和最适宜),并相应选择了 3 个最适宜的临时斑马贻贝养殖区,共有 12 个候选地点。本研究提出的综合方法可用于指定其他河口泻湖生态系统中的斑马贻贝养殖地点,或用于生物修复目的养殖其他贻贝物种。本研究设计的分析框架和工作流程也可用于解决其他与水产养殖相关的空间规划问题。