It’s complicated … environmental DNA as a predictor of trout and char abundance in streams

Author:

Sepulveda Adam J.1,Al-Chokhachy Robert1,Laramie Matthew B.2,Crapster Kyle3,Knotek Ladd4,Miller Brian5,Zale Alexander V.6,Pilliod David S.2

Affiliation:

1. US Geological Survey, Northern Rocky Mountain Science Center, 2327 University Way, Suite-2, Bozeman, MT 59715, USA.

2. US Geological Survey, Forest and Rangeland Ecosystem Science Center, 970 Lusk Street, Boise 83706, USA.

3. Montana Cooperative Fishery Research Unit, Department of Ecology, Montana State University, P.O. Box 173460, Bozeman, MT 59717, USA.

4. Montana Fish, Wildlife, and Parks, 3201 Spurgin Road, Missoula, MT 59804, USA.

5. Confederated Tribes of the Colville Reservation, Fish and Wildlife Department, Okanogan Basin Monitoring and Evaluation Program, Nespelem, WA 99155, USA.

6. US Geological Survey, Montana Cooperative Fishery Research Unit, Department of Ecology, Montana State University, PO Box 173460, Bozeman, MT 59717, USA.

Abstract

The potential to provide inferences about fish abundance from environmental (e)DNA samples has generated great interest. However, the accuracy of these abundance estimates is often low and variable across species and space. A plausible refinement is the use of common aquatic habitat monitoring data to account for attributes that influence eDNA dynamics. We therefore evaluated the relationships between eDNA concentration and abundance of bull trout (Salvelinus confluentus), westslope cutthroat trout (Oncorhynchus clarkii lewisi) and rainbow trout (Oncorhynchus mykiss) at 42 stream sites in the Intermountain West (USA and Canada) and tested whether accounting for site-specific habitat attributes improved the accuracy of fish abundance estimates. eDNA concentrations were positively associated with fish abundance, but these relationships varied by species and site, and there was still considerable variation unaccounted for. Random site-level differences explained much of this variation, but specific habitat attributes of those sites explained relatively small amounts of this variation. Our results underscore that either eDNA sampling or environmental characterization will require further refinement before eDNA can be used reliably to estimate fish abundance in streams.

Publisher

Canadian Science Publishing

Subject

Aquatic Science,Ecology, Evolution, Behavior and Systematics

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