Abstract Using mobile environmental monitoring can aid in gathering ecological data to meet fish community goals in the Great Lakes. One such approach is the use of large Autonomous Underwater Vehicles (AUVs) to gather data, or the potential use of AUV swarms, where multiple small AUVs work together with each having different data-gathering capabilities. To understand data needs that could be collected by mobile sensor networks to inform decision making, we surveyed Great Lakes professionals involved directly and indirectly in such decision making. Basic data that respondents chose as most important to collect were water temperature, dissolved oxygen, chlorophyll a, turbidity, and blue-green “algae”, which seems to align with variables affecting fish directly or indirectly (through identification of harmful algal blooms). Specialized data chosen as most important were mapping of habitat characteristics, sonar of groupings of fish, and images/video. The time of year to collect all data was chosen as all seasons by the majority of respondents, the frequency most chosen was once a season for mapping of habitat characteristics, once a week for sonar detection of groupings of fish, and once per day for images/video and water temperature. Results were very similar when respondents were asked where data should be collected in the Great Lakes (i.e., tributaries, nearshore areas, etc.) except respondents indicated that images/video should be collected most in fish spawning habitats. Understanding data important to inform decisions of resource professionals will help guide the design of mobile and stationary sensor networks in the Great Lakes.

中文翻译：

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Laurentian Great Lakes 科学数据收集对自主水下航行器 (AUV) 的要求：问卷调查

摘要 使用移动环境监测有助于收集生态数据，以实现五大湖鱼类群落目标。其中一种方法是使用大型自主水下航行器 (AUV) 来收集数据，或者可能使用 AUV 群，其中多个小型 AUV 协同工作，每个 AUV 具有不同的数据收集能力。为了解移动传感器网络可收集的数据需求以告知决策，我们调查了直接或间接参与此类决策的五大湖专业人士。受访者选择收集的最重要的基本数据是水温、溶解氧、叶绿素 a、浊度和蓝绿色“藻类”，这些数据似乎与直接或间接影响鱼类的变量一致（通过识别有害藻华）。被选为最重要的专业数据是栖息地特征图、鱼类分组声纳和图像/视频。大多数受访者选择一年中收集所有数据的时间为所有季节，最多选择的频率是每个季节一次用于绘制栖息地特征，每周一次用于鱼类分组的声纳检测，以及每天一次用于图像/视频和水温。当受访者被问及应在五大湖的何处（即支流、近岸地区等）收集数据时，结果非常相似，但受访者表示应在鱼类产卵栖息地收集最多的图像/视频。了解对资源专业人员的决策很重要的数据将有助于指导五大湖中移动和固定传感器网络的设计。