Lauren E. Wiesebron , John K. Horne , Beth E. Scott , Benjamin J. Williamson
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To characterize the generality of biological attributes at tidal energy sites, metrics derived from acoustic backscatter describing temporal and spatial distributions of fish and macrozooplankton at Admiralty Inlet, Washington State and the Fall of Warness, Scotland were compared using <em>t</em>-tests, <em>F</em>-tests, linear regressions, spectral analysis, and extreme value analysis (EVA). EVA was used to characterize metric values that are rare but potentially associated with biological impacts, defined as relevant change as a consequence of human activity. Pelagic nekton densities were similar at both sites, as evidenced by no statistically significant difference in densities, and similar daily density patterns of pelagic nekton between sites. Biological characteristics were similar, suggesting that generic biological monitoring programs could be implemented at these two sites, which would streamline permitting, facilitate site comparison, and enable environmental impact detection associated with tidal energy deployment.</p></div>","PeriodicalId":100705,"journal":{"name":"International Journal of Marine Energy","volume":"16 ","pages":"Pages 235-249"},"PeriodicalIF":0.0000,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.ijome.2016.07.004","citationCount":"11","resultStr":"{\"title\":\"Comparing nekton distributions at two tidal energy sites suggests potential for generic environmental monitoring\",\"authors\":\"Lauren E. Wiesebron , John K. Horne , Beth E. Scott , Benjamin J. 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To characterize the generality of biological attributes at tidal energy sites, metrics derived from acoustic backscatter describing temporal and spatial distributions of fish and macrozooplankton at Admiralty Inlet, Washington State and the Fall of Warness, Scotland were compared using <em>t</em>-tests, <em>F</em>-tests, linear regressions, spectral analysis, and extreme value analysis (EVA). EVA was used to characterize metric values that are rare but potentially associated with biological impacts, defined as relevant change as a consequence of human activity. Pelagic nekton densities were similar at both sites, as evidenced by no statistically significant difference in densities, and similar daily density patterns of pelagic nekton between sites. Biological characteristics were similar, suggesting that generic biological monitoring programs could be implemented at these two sites, which would streamline permitting, facilitate site comparison, and enable environmental impact detection associated with tidal energy deployment.</p></div>\",\"PeriodicalId\":100705,\"journal\":{\"name\":\"International Journal of Marine Energy\",\"volume\":\"16 \",\"pages\":\"Pages 235-249\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1016/j.ijome.2016.07.004\",\"citationCount\":\"11\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Marine Energy\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2214166916300492\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Marine Energy","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2214166916300492","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 11
摘要
潮汐能是一种可再生资源,有助于满足日益增长的能源需求,但设备安装和运行对环境的影响仍然存在不确定性。环境监测项目用于检测和评估人为干扰造成的影响,是美国项目运营许可证的强制性要求。在英国,同意条件要求监测对相关物种的任何不利影响。虽然潮汐涡轮机站点具有相似的物理特征(例如强潮汐流),但其生物特征的相似性尚未得到检验。为了描述潮汐能站点生物属性的普遍性,使用t检验、f检验、线性回归、光谱分析和极值分析(EVA)对描述华盛顿州Admiralty Inlet和苏格兰Fall of Warness地区鱼类和大型浮游动物时空分布的声学后向散射指标进行了比较。EVA用于描述罕见但可能与生物影响相关的度量值,定义为人类活动导致的相关变化。两个站点的浮游生物密度相似,没有统计学上的显著差异,并且两个站点之间的浮游生物日密度模式相似。生物特征相似,这表明可以在这两个地点实施通用的生物监测计划,这将简化许可,促进地点比较,并使与潮汐能部署相关的环境影响检测成为可能。
Comparing nekton distributions at two tidal energy sites suggests potential for generic environmental monitoring
Tidal energy is a renewable resource that can contribute towards meeting growing energy demands, but uncertainties remain about environmental impacts of device installation and operation. Environmental monitoring programs are used to detect and evaluate impacts caused by anthropogenic disturbances and are a mandatory requirement of project operating licenses in the United States. In the United Kingdom, consent conditions require monitoring of any adverse impacts on species of concern. While tidal turbine sites share similar physical characteristics (e.g. strong tidal flows), similarities in their biological characteristics have not been examined. To characterize the generality of biological attributes at tidal energy sites, metrics derived from acoustic backscatter describing temporal and spatial distributions of fish and macrozooplankton at Admiralty Inlet, Washington State and the Fall of Warness, Scotland were compared using t-tests, F-tests, linear regressions, spectral analysis, and extreme value analysis (EVA). EVA was used to characterize metric values that are rare but potentially associated with biological impacts, defined as relevant change as a consequence of human activity. Pelagic nekton densities were similar at both sites, as evidenced by no statistically significant difference in densities, and similar daily density patterns of pelagic nekton between sites. Biological characteristics were similar, suggesting that generic biological monitoring programs could be implemented at these two sites, which would streamline permitting, facilitate site comparison, and enable environmental impact detection associated with tidal energy deployment.