| Literature DB >> 31031520 |
Lyubov E Burlakova1, Richard P Barbiero2, Alexander Y Karatayev1, Susan E Daniel1, Elizabeth K Hinchey3, Glenn J Warren3.
Abstract
We used the results of seventeen years of Great Lakes benthic monitoring conducted by the U.S. EPA's Great Lakes National Program Office to describe the spatial and temporal patterns of benthic communities, assess their status, trends, and main drivers, and to infer the potential impact of these community changes on ecosystem functioning. Benthic abundance and diversity were higher at shallow (<70 m in depth) stations with chlorophyll concentrations above 3 μg/L than at deeper sites (<1 μg/L).We infer that lake productivity, measured by chlorophyll was likely the major driver of benthic abundance and diversity across lakes. Consequently, benthic diversity and abundance were the highest in the most productive Lake Erie, followed by lakes Ontario, Michigan, Huron, and Superior. Multivariate analysis distinguished three major communities shared among lakes (littoral, sublittoral, and profundal) that differed in species composition and abundance, functional group diversity, and tolerance to organic pollution. Analysis of temporal trends revealed that the largest changes occurred in profundal communities, apparent in significant shifts in dominant taxa across all lakes except Lake Superior. In lakes Michigan, Huron, and Ontario, the former dominant Diporeia was replaced with Dreissena and Oligochaeta. Profundal species, with the exception of dreissenids, became less abundant, and their depth distribution has shifted. In contrast, density and diversity of native littoral and sublittoral communities increased. The invasion of dreissenids was among the most important drivers of changes in benthic communities. Continued monitoring is critical for tracking unprecedented changes occurring in the Great Lakes ecosystem.Entities:
Keywords: Great Lakes; benthic invertebrates; biomonitoring; community analysis; exotic species
Year: 2018 PMID: 31031520 PMCID: PMC6483096 DOI: 10.1016/j.jglr.2018.04.008
Source DB: PubMed Journal: J Great Lakes Res ISSN: 0380-1330 Impact factor: 2.480