Mitchell Richard M, Herlihy Alan T, Hughes Robert M
United States Environmental Protection Agency, Office of Water, 1200 Pennsylvania Ave., NW, MC 4502T, Washington, DC 20460.
Department of Fisheries, Wildlife, and Conservation Sciences, Oregon State University, Corvallis, Oregon 97331, USA.
Ecol Indic. 2025 Jan;170. doi: 10.1016/j.ecolind.2024.112992.
Benthic macroinvertebrates are widely used for assessing lotic ecosystems, however, their use in assessing lake condition has been more limited-especially at large, continental extents. We used data collected during the U.S. EPA's National Lake Assessment between 2007-2022 to develop and validate a national macroinvertebrate multi-metric index (MMI) of lake condition across the conterminous U.S. As part of that process, we identified least-disturbed ecoregional reference lakes by filtering all sampled lakes by using specific physical, chemical, and disturbance variables to remove disturbed lakes. To account for natural variability, different criteria values were used for each of the nine national ecoregions. This allowed for a regionally explicit and reproducible definitions of lake reference condition for current and future analyses. Because of insufficient reference lake numbers in some of the nine ecoregions, macroinvertebrate MMI development was done independently for each of five aggregate national ecoregions. All 126 candidate macroinvertebrate metrics were screened for reproducibility, responsiveness, and redundancy to identify the best metric in each of six group types: composition, diversity, feeding group, habit, richness, and pollution tolerance for each ecoregion. The six chosen metrics were summed to calculate the MMI. Condition benchmarks (good/fair/poor) for assessing biological condition were defined for each ecoregion based on reference lake MMI percentiles. Using these five MMIs with the 2022 survey data, an estimated 44% of the lakes were in good condition, whereas 27% were in poor condition. Our MMIs offer managers valuable tools for assessing lakes at large ecoregional and continental extents.
底栖大型无脊椎动物被广泛用于评估流水生态系统,然而,它们在评估湖泊状况方面的应用则较为有限,尤其是在大尺度的大陆范围内。我们利用美国环境保护局在2007年至2022年期间进行的全国湖泊评估所收集的数据,开发并验证了一个用于评估美国本土湖泊状况的全国性大型无脊椎动物多指标指数(MMI)。在这个过程中,我们通过使用特定的物理、化学和干扰变量对所有采样湖泊进行筛选,去除受干扰的湖泊,从而确定了受干扰最小的生态区域参考湖泊。为了考虑自然变异性,对九个国家生态区域分别使用了不同的标准值。这使得当前和未来的分析能够对湖泊参考状况进行区域明确且可重复的定义。由于九个生态区域中的一些区域参考湖泊数量不足,因此针对五个综合的国家生态区域分别独立开展了大型无脊椎动物MMI的开发工作。对所有126个候选大型无脊椎动物指标进行了可重复性、响应性和冗余性筛选,以确定每个生态区域六种组类型(组成、多样性、摄食组、习性、丰富度和耐污染性)中最佳的指标。将所选的六个指标相加来计算MMI。根据参考湖泊MMI百分位数为每个生态区域定义了用于评估生物状况的状况基准(良好/中等/较差)。利用这五个MMI和2022年的调查数据,估计44%的湖泊状况良好,而27%的湖泊状况较差。我们的MMI为管理人员提供了有价值的工具,用于在大尺度的生态区域和大陆范围内评估湖泊。