Living Marine Resources Cooperative Science Center, Department of Natural Sciences, University of Maryland Eastern Shore, Princess Anne, Maryland, United States of America.
Biology Department, Lawrence University, Appleton, Wisconsin, United States of America.
PLoS One. 2019 May 2;14(5):e0215966. doi: 10.1371/journal.pone.0215966. eCollection 2019.
Offshore wind farms are a crucial component for the improvement of renewable energy in the United States. The Bureau of Ocean Energy Management (BOEM) designated ~170 km2 of shelf area for wind energy development off the coast of Maryland, USA. In order to understand potential environmental impacts of wind turbine installation on the benthic ecosystem within the designated area, we conducted a study to visually characterize bottom habitats and epibenthic communities in the Mid-Atlantic Outer Continental Shelf blocks of the Maryland wind energy area. Seven 5 km long transects were sampled using a towed camera sled with a downward-facing digital camera that captured images at 5 frames·s-1s. Additional small-mesh beam trawling was also conducted at selected locations complementary for species identification. Image data were analyzed using two image selection methods, random and systematic (i.e. video frames were selected at various intervals). For both methods, estimates of community diversity (Hill's N2) stabilized with sample sizes ranging from 316 to 398 frames. Our results allowed us to define distinct epibenthic communities and bottom habitats that are associated with offshore wind energy sites and to develop a sampling technique for digital images that can be applied to other research programs.
海上风电场是美国可再生能源发展的重要组成部分。美国海洋能源管理局(BOEM)指定了约 170 平方公里的马里兰州沿海海域用于风能开发。为了了解风涡轮机安装对指定区域内海底生态系统的潜在环境影响,我们进行了一项研究,以直观地表征马里兰州风能区大西洋中部外大陆架区块的海底生境和附着生物群落。使用带有向下指向数字摄像机的拖曳式相机雪橇采集了 7 条 5 公里长的横截线上的数据,该摄像机以 5 帧·s-1s 的速度拍摄图像。还在选定的位置进行了额外的小型网拖网捕捞,以补充物种鉴定。使用两种图像选择方法(随机和系统,即视频帧以不同的间隔选择)对图像数据进行了分析。对于这两种方法,群落多样性(Hill's N2)的估计值在 316 到 398 帧之间的样本量范围内趋于稳定。我们的研究结果使我们能够定义与海上风电场相关的独特附着生物群落和海底生境,并开发出一种可应用于其他研究计划的数字图像采样技术。