Abstract
Benthic invertebrate biomonitoring has long been a tool of choice for assessing the impacts of anthropogenic stress in aquatic systems. The Oligochaete Trophic Index (OTI) is used by the U.S. EPA Great Lakes National Program Office to assess Great Lakes trophic status for State of the Great Lakes reporting under the Great Lakes Water Quality Agreement. OTI scores are based on pollution tolerances of ubiquitous profundal oligochaetes. OTI limitations include the fact that the index is based on a limited number of species belonging to a single oligochaete class, species assignment to trophic groups in the index were determined by best professional judgment and cannot be tested independently, and the index's correlation with lake productivity has not been evaluated. To address these concerns, we developed two new indices of Great Lakes water quality based on the OTI equation by: (1) expanding the number of oligochaete species included in the index and reassigning previous classifications of oligochaete species to trophic groups (improved OTI, or iOTI); and (2) adding non-oligochaete species to the OTI (modified Trophic Index, or mTI). Finally, we tested a modeling approach using Modern Analogue Technique (MAT) transfer functions based on species responses to a surface chlorophyll gradient to derive assessment of site trophic status and an independent assignment of species to trophic categories. We found that both iOTI and mTI had a stronger relationship with surface remote-sensed spring chlorophyll than did OTI, but MAT models had stronger correlations with chlorophyll than did any of the indices.
Original language | English (US) |
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Pages (from-to) | 618-628 |
Number of pages | 11 |
Journal | Journal of Great Lakes Research |
Volume | 44 |
Issue number | 4 |
DOIs | |
State | Published - Aug 2018 |
Bibliographical note
Funding Information:Funding for this project was provided by a GLRI grant from the U.S. Environmental Protection Agency (Award # 00E01184 to L. Rudstam, A. Karatayev and L. Burlakova). Richard Barbiero and Barry Lesht were supported by the US EPA Great Lakes National Program Office as part of EPA Contract No. EP-C-15-012, Technical, Analytical, and Regulatory Mission Support with CSRA under the direction of Louis Blume, Project Manager. We would also like to express our great appreciation to the Captain and crew of the U.S. Environmental Protection Agency's R/V Lake Guardian, S. Daniel and S. Dickinson (Great Lakes Center, Buffalo State College) for their assistance throughout the course of this work. Handling Editor and anonymous referees provided many useful suggestions that improved this manuscript. Although the research described in this article has been funded by the U.S. EPA, it has not been subjected to Agency review. Therefore, it does not necessarily reflect the views of the Agency. Any mention of products or trade names does not constitute recommendation for use by the U.S. EPA.
Funding Information:
Funding for this project was provided by a GLRI grant from the U.S. Environmental Protection Agency (Award # 00E01184 to L. Rudstam, A. Karatayev and L. Burlakova). Richard Barbiero and Barry Lesht were supported by the US EPA Great Lakes National Program Office as part of EPA Contract No. EP-C-15-012, Technical, Analytical, and Regulatory Mission Support with CSRA under the direction of Louis Blume, Project Manager. We would also like to express our great appreciation to the Captain and crew of the U.S. Environmental Protection Agency's R/V Lake Guardian, S. Daniel and S. Dickinson (Great Lakes Center, Buffalo State College) for their assistance throughout the course of this work. Handling Editor and anonymous referees provided many useful suggestions that improved this manuscript. Although the research described in this article has been funded by the U.S. EPA, it has not been subjected to Agency review. Therefore, it does not necessarily reflect the views of the Agency. Any mention of products or trade names does not constitute recommendation for use by the U.S. EPA.
Publisher Copyright:
© 2017 International Association for Great Lakes Research.
Keywords
- Benthic community
- Biomonitoring
- Great Lakes
- Oligochaeta
- Trophic indices
- Water quality