Geology topics

Research about Michigan, New York, Ohio, Pennsylvania

Source-linked reports with geographic coverage including Michigan, New York, Ohio, Pennsylvania.

6 recordsLinked to original sources

USGS2026

Evaluating the use of uncrewed surface vessels to enhance Lake Erie acoustic prey-fish surveys

Incorporation of autonomous uncrewed surface vessels (USVs) into large-scale acoustic surveys may enhance spatiotemporal extent and quality of fish density estimates. Lake Erie is currently surveyed by three motorized research vessels (RVs), which annually collect acoustic data and estimate prey-fish abundances. To evaluate the feasibility of incorporating a USV into the existing survey to increase spatial coverage, we compared paired acoustic measurements of target strength (TS), area backscattering coefficient (ABC), and areal fish density from four motorized RVs (three currently and one historically used) and one USV (Saildrone Explorer). Acoustic data were collected along 2-km transects during five sampling events distributed throughout Lake Erie. Despite observing event-specific differences that were likely impacted by sampling conditions, survey-level estimates of areal density between RVs and the USV were comparable (i.e., RV 6% lower than USV). RVs and the USV appear to react differently (speed and stability) to variable environmental conditions (wind and waves), which impacted data quality and must be mitigated in future applications. However, similar to previous comparisons in marine and freshwater environments, incorporating a USV into an acoustic survey could enhance annual fish density estimates by increasing effort, spatial coverage, logistical flexibility, and biological data collection opportunities from RVs.

Michigan, New York, Ohio, Pennsylvania↗

USGS2023

Habitat selection of a migratory freshwater fish in response to seasonal hypoxia as revealed by acoustic telemetry

Adaptive efforts to achieve water quality objectives by modifying nutrient loading can have attendant impacts on fish habitats and fisheries. Thus, coordinating fishery and water quality management depends on knowledge of fish behavioral responses to habitat change. This study combined acoustic telemetry of fish with water quality modeling to understand how water quality management might impact fishery management. We examined habitat use of a native demersal fish, lake whitefish Coregonus clupeaformis , in Lake Erie. We focused on the summer stratified period when habitat was expected to be most limiting and used a forecast model to predict temperature and oxygen in the hypolimnion when fish were detected. As hypothesized, lake whitefish occupied a subset of available conditions with occupied habitats characterized by a cool, normoxic, hypolimnion. On some occasions fish were detected when the hypolimnion was predicted to be hypoxic, suggesting that fish were either displaced vertically or horizontally into marginal habitats or uncertainty in model predictions was high. Still, when hypolimnetic conditions were hypoxic, fish tended to move toward normoxia as expected, but when initial conditions were cold with high dissolved oxygen, fish movements were toward lower oxygen (but still normoxic) conditions. We also observed a high affinity for fish to remain near the southern shore in eastern Ohio, Pennsylvania, and New York. If current nutrient reduction objectives are achieved and the extent and severity of hypoxia is reduced, an expansion of lake whitefish habitat and distribution may have significance to the spatial regulation of fishing effort in Lake Erie.

Michigan, New York, Ohio, Pennsylvania↗

USGS2023

Lake Erie hypoxia spatial and temporal dynamics present challenges for assessing progress toward water quality goals

Seasonal hypolimnetic hypoxia has been documented in Lake Erie’s central basin since the 1950s. Ship-based surveys to monitor hypoxia have been conducted since the 1980s, but they occur at a relatively low frequency and focus on the deeper areas of the central basin. To better document the seasonal development of stratification and the consequent occurrence of hypoxia, we deployed eight moorings, in both nearshore-shallow areas and offshore-deep areas of the central basin, equipped with temperature and oxygen sensors at multiple depths, that recorded temperature and oxygen concentrations every 10 minutes. Results from 2017-2019 reveal that hypoxia occurs as early as July in the shallower areas west of, and around the southern perimeter of the central basin, but does not occur until August or September in the deeper central basin. Hypoxia is intermittent in the shallower perimeter areas; whereas in the deeper areas, hypoxia can persist into October, often progressing to anoxia. The intra and interannual differences in the spatial and temporal extent of hypoxia indicate that an extensive monitoring program will be necessary to more accurately assess progress toward reducing the extent of hypoxia pursuant to the lake ecosystem objectives of the 2012 Great Lakes Water Quality Agreement.

Michigan, New York, Ohio, Pennsylvania↗

USGS2021

Mixed-stock analysis in the age of genomics: Rapture genotyping enables evaluation of stock-specific exploitation in a freshwater fish population with weak genetic structure

Mixed-stock analyses using genetic markers have informed fisheries management in cases where strong genetic differentiation occurs among local spawning populations, yet many fisheries are supported by multiple spawning stocks that are weakly differentiated. Freshwater fisheries exemplify this problem, with many harvested populations supported by multiple stocks of young evolutionary age and that are isolated across small spatial scales. As a result, attempts to conduct genetic mixed-stock analyses of inland fisheries have often been unsuccessful. Advances in genomic sequencing now offer the ability to discriminate among populations with weak population structure, by providing the necessary resolution to conduct mixed-stock assignment among previously indistinguishable stocks. We demonstrate the use of genomic data to conduct a mixed-stock analysis of Lake Erie's commercial and recreational walleye (Sander vitreus) fisheries and estimate the relative harvest of weakly differentiated stocks (pairwise FST < 0.01). We used RAD-capture (Rapture) to sequence and genotype individuals at 12,081 loci that had been previously determined to be capable of discriminating between western and eastern basin stocks with 95% reassignment accuracy. An outcome not possible in the past with microsatellite markers. Genetic assignment of 1,075 fish harvested from recreational and commercial fisheries in the eastern basin indicated that western basin stocks constituted the majority of individuals harvested during peak walleye fishing season (July – September). Composition of harvest changed seasonally, with eastern basin fish comprising much of the early season harvest (May – June). Clear spatial structure in stock-specific harvest existed; more easterly sites contained more individuals of east basin origin than did westerly sites. Our study provides important stock contribution estimates for Lake Erie fishery management and demonstrates the power of genomic data to facilitate mixed-stock analysis in exploited fish populations with weak population structure or limited existing genetic resources.

Michigan, New York, Ohio, Pennsylvania↗

USGS2004

The influence of diet, consumption and lipid use on recruitment of white bass

The abundance of white bass ( Morone chrysops ) in Lake Erie has declined in recent years, sparking interest in mechanisms influencing its recruitment. We evaluate two mechanisms affecting recruitment: diet and the potential for competition, and storage of lipid energy reserves and the relationship to overwinter survival. The fish in our study were characteristic of white bass in the northern portion of their range, feeding predominantly on zooplankton. Only the largest age-0 white bass ate fish as a significant portion of their diet. Over the summer sampling period, we found decreasing ration sizes, expressed as a percentage of maximum ration, as the summer progressed with a concomitant decrease in the relative amount of lipid storage. In laboratory experiments, age-0 white bass held at 5°C and given food ad libitum did feed, but at rates that were insufficient to maintain body weight. Loss in weight was accompanied with a loss in lipids at a rate of 2.8 mg of lipids per gram of body weight per day. Based on our data, we concluded that age-0 white bass in Lake Erie were food-limited. Food limitation resulted in reduced growth rates, presumably related to competition with other planktivorous fishes. Reduced growth results in increased mortality and, ultimately, low recruitment through increased risk of predation by larger piscivorous fishes, reduced ability for white bass to switch to more energetically profitable piscivory and the increased likelihood of higher overwinter mortality because of reduced lipid stores.

Michigan, New York, Ohio, Pennsylvania↗

USGS2001

Comparison of U.S. Geological Survey and Ohio Environmental Protection Agency fish-collection methods using the index of biotic integrity and modified index of well-being, 1996–97

The U.S. Geological Survey (USGS) and Ohio Environmental Protection Agency (OEPA) collected data on fish from 10 stream sites in 1996 and 3 stream sites in 1997 as part of a comparative study of fish community assessment methods. The sites sampled represent a wide range of basin sizes (ranging from 132–6,330 square kilometers) and surrounding land-use types (urban, agricultural, and mixed). Each agency used its own fish-sampling protocol. Using the Index of Biotic Integrity and Modified Index of Well-Being, differences between data sets were tested for significance by means of the Wilcoxon signed-ranks test ( α = 0.05). Results showed that the median of Index of Biotic Integrity differences between data sets was not significantly different from zero ( p = 0.2521); however, the same statistical test showed the median differences in the Modified Index of Well-Being scores to be significantly different from zero ( p = 0.0158). The differences observed in the Index of Biotic Integrity scores are likely due to natural variability, increased variability at sites with degraded water quality, differences in sampling methods, and low-end adjustments in the Index of Biotic Integrity calculation when fewer than 50 fish were collected. The Modified Index ofWell-Being scores calculated by OEPA were significantly higher than those calculated by the USGS. This finding was attributed to the comparatively large numbers and biomass of fish collected by the OEPA. By combining the two indices and viewing them in terms of the percentage attainment of Ohio Warmwater Habitat criteria, the two agencies’ data seemed comparable, although the Index of Biotic Integrity scores were more similar than the Modified Index of Well-Being scores.

Michigan, New York, Ohio, Pennsylvania↗