Thornber Carol S, Cicchetti Giancarlo, Green-Gavrielidis Lindsay, Hobbs Niels-Viggo, Pantoni Gabrielle, Taylor David L
Department of Natural Resources Science, University of Rhode Island, Kingston RI 02881, USA.
U.S. EPA, Office of Research and Development, Atlantic Coastal Environmental Sciences, Division, Narragansett, RI 02882 USA.
Limnol Oceanogr Methods. 2024 Apr 11;22(7):495-506. doi: 10.1002/lom3.10617.
The use of camera and video technologies for conducting underwater surveys has rapidly expanded over the past several decades. However, the utility of these systems can be significantly hampered by numerous logistical factors, including limited underwater visibility, rough bottom topography, and ease of use for the operator. Video studies can be difficult to compare when methods and terminologies differ. Here, we describe the development of a cost-effective diver-propelled underwater ski-based video system for rapidly acquiring videos in challenging shallow high-energy rocky benthic habitats for quantifying fish, macroalgae, and invertebrates in a coastal temperate system. The ski held the camera at a (relatively) fixed distance from the seafloor, we used parallel lasers to quantify our observations, and we used the standardized language and definitions in the Coastal and Marine Ecological Classification Standard (CMECS) to acquire consistent quantitative data to serve as an ecological baseline, also including archived images. Our results indicate that the ski proved to be an effective tool for capturing insightful data that would otherwise be very difficult and time consuming to collect. Our baseline and repeatable methods can be used by other investigators at this or other locations for monitoring, re-evaluation, or comparisons to other sites.
在过去几十年中,用于进行水下调查的相机和视频技术的应用迅速扩展。然而,这些系统的效用可能会受到众多后勤因素的显著阻碍,包括水下能见度有限、海底地形崎岖以及操作人员的易用性。当方法和术语不同时,视频研究可能难以进行比较。在此,我们描述了一种具有成本效益的由潜水员推动的基于水下滑板的视频系统的开发,该系统用于在具有挑战性的浅海高能岩石底栖生境中快速获取视频,以量化沿海温带系统中的鱼类、大型藻类和无脊椎动物。滑板将相机保持在离海底(相对)固定的距离,我们使用平行激光来量化我们的观测结果,并且我们使用《沿海和海洋生态分类标准》(CMECS)中的标准化语言和定义来获取一致的定量数据,作为生态基线,还包括存档图像。我们的结果表明,滑板被证明是一种有效的工具,可用于获取有洞察力的数据,否则收集这些数据将非常困难且耗时。我们的基线和可重复方法可供其他研究人员在该地点或其他地点用于监测、重新评估或与其他地点进行比较。