Long-Term Aquatic Biota Database

In this recently completed cooperative project, we have tested innovative statistical techniques that allow us to extract the most information from the long-term aquatic-animal databases collected by the National Park Service (NPS), USGS Biological Resource Division (BRD), and Florida International University (FIU). Our goal was to examine temporal and spatial patterns in the Everglades marsh communities, particularly in relation to water management, physical changes to the ecosystem, and to drought, flood, and hurricane disturbance. This information is being used to evaluate past responses of the aquatic communities to hydrology and disturbance, and have been instrumental in demonstrating the deleterious effects of past management actions in the Everglades Protection Area. The exhaustive analyses provide information needed to guide restoration and to plan the future monitoring network for aquatic animals in RECOVER. The databases have already produced a series of publications including inventories of the fishes and herpetofauna, dynamics of the fish and plant communities, and have been used to build the first ATLSS fish model.

本项目为近期完成的合作研究课题，我们在项目中测试了创新性统计技术，可从国家公园管理局（National Park Service, NPS）、美国地质调查局生物资源部（USGS Biological Resource Division, BRD）与佛罗里达国际大学（Florida International University, FIU）采集的长期水生动物数据库中提取最大化有效信息。本研究旨在解析大沼泽地沼泽群落的时间与空间分布格局，重点探讨其与水资源管理、生态系统物理变化，以及干旱、洪涝和飓风干扰之间的关联。该信息被用于评估水生群落过往对水文条件与干扰的响应，并为证实大沼泽地保护区既往管理措施的有害影响提供了关键支撑。此次详尽分析提供了指导生态修复工作、并为规划RECOVER项目内水生动物未来监测网络所需的核心信息。该数据库已催生一系列研究成果，涵盖鱼类与两栖爬行动物名录、鱼类及植物群落动态相关内容，并被用于构建首个ATLSS鱼类模型。