Dreissena in Lake Ontario 30 years post-invasion

Karatayev, Alexander Y.; Burlakova, Lyubov E.; Mehler, Knut; Elgin, Ashley K.; Rudstam, Lars G.; Watkins, James M.; Wick, Molly J.

doi:10.1016/j.jglr.2020.11.010

Cited by 26 publications

(7 citation statements)

References 56 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Our Round Goby density estimate of 26,565 fish/ha from the video survey in Oneida Lake 6 years after Round Goby colonization is comparable to values observed in the literature. Karatayev et al (2022) estimated that Round Goby density in the 10-35-m depth range of Lake Ontario was 42,000 fish/ha. Taraborelli et al (2009) estimated a Round Goby density of 22,000 fish/ha in the upper Bay of Quinte 4 years after Round Goby colonization.…”

Section: Discussionmentioning

confidence: 99%

See 1 more Smart Citation

Effects of Round Goby on the Benthic Invertebrate Community and on Diets and Growth of Yellow Perch and White Perch in Oneida Lake, New York

et al. 2022

Self Cite

View full text Add to dashboard Cite

Food web changes from the introduction of nonnative species can be complex, with sometimes unexpected effects or little effect due to food web interactions. Invasive Round Goby Neogobius melanostomus became common in samples in Oneida Lake, New York, by 2014. Data from a long‐term monitoring program allowed us to document the Round Goby expansion through time. Using shoreline seine, fyke net, bottom trawl, and video surveys, we estimated that Round Goby density reached over 25,000 fish/ha 6 years after detection and subsequently varied between 4,110 and 26,565 fish/ha. Concurrent benthic invertebrate sampling and long‐term fish diet sampling allowed us to assess the impacts of Round Goby on densities of several benthic invertebrate taxa and on invertebrate consumption by fish. Significant decreases in density after Round Goby arrival were found for amphipods (Amphipoda), caddisflies (Trichoptera), snails (Gastropoda), and dreissenid mussels Dreissena spp. Invertebrate densities after Round Goby arrival ranged from 19% to 48% of densities in the pre‐Round Goby period. For amphipods, snails, and, in some cases, caddisflies and chironomids (Chironomidae), frequency of occurrence in the diets of Yellow Perch Perca flavescens and White Perch Morone americana was lower after Round Goby became established. The decreased consumption of these invertebrates did not lead to decreases in fish growth; growth increased for some age‐classes of Yellow Perch and all age‐classes of White Perch. Despite potential Round Goby predation, densities of burrowing mayflies Hexagenia spp. expanded during this time and likely helped to offset reductions in consumption of other invertebrates by Yellow Perch and White Perch, as did consumption of Round Goby. Long‐term monitoring shows that Round Goby decreased the density of several benthic invertebrate species and decreased the consumption of these invertebrates by fish, but the effect on growth of Yellow Perch and White Perch was offset by consumption of Round Goby and burrowing mayflies.

show abstract

Section: Discussionmentioning

confidence: 99%

“…Karatayev et al. (2022) estimated that Round Goby density in the 10–35‐m depth range of Lake Ontario was 42,000 fish/ha. Taraborelli et al.…”

Section: Discussionmentioning

confidence: 99%

Effects of Round Goby on the Benthic Invertebrate Community and on Diets and Growth of Yellow Perch and White Perch in Oneida Lake, New York

et al. 2022

Self Cite

View full text Add to dashboard Cite

show abstract

“…This combination of increased mussel abundance (biomass) and predation pressure (mortality rate) resulted in much higher shell turnover and thus higher mineralized C in empty shells (2.40 X 10 8 vs 1.19 X 10 9 T C). This shift was most prominent in Lakes Ontario and Michigan, where increased mussel densities in the deeper waters and increased predation resulted in much higher C mineralization in the post-round goby period 42,47,57 . An estimated total of 1.19 E10 tonnes of empty shell mass was calculated across the four lakes, containing 1.43 E9 tonnes of C.…”

Section: Resultsmentioning

confidence: 99%

“…This nding draws from a large body of work examining the physicochemical impacts of invasive dreissenid mussels 34,35 , especially in the Great Lakes [36][37][38][39][40] . Although the impacts of living dreissenid mussels are well understood in the Great Lakes and other invaded territories, there has been very little work examining the impacts of the accumulating mass of mussel shells on the carbon budget in these lakes 38,41,42 .…”

Section: Introductionmentioning

confidence: 99%

Revisiting carbon cycling in the Laurentian Great Lakes following dreissenid mussel invasion

Smith,

McGaughey,

Marty

et al. 2024

Preprint

View full text Add to dashboard Cite

Since the active role of inland waters in cycling carbon (C) has been revealed, there has been a renewed interest in calculating C budgets for inland waters to understand their role with respect to global climate change. There is a lack of knowledge regarding C cycling in the Laurentian Great Lakes, the worlds largest freshwater reservoir, with current estimates neglecting the role of invasive species. For one of the most pervasive invaders, dreissenid (zebra and quagga) mussels, research has focused on filter feeding impacts on phosphorus dynamics, but there is a lack of knowledge regarding their role in C cycling, specifically, the impact of the C stored in their slowly degrading shells. As such, we set out to estimate the mass of empty shells and C stored in those shells. We calculated an estimated 1.19 E10 tonnes of empty shell mass currently sitting at the bottom of these lakes, which store approximately 1.43 E9 tonnes of C. This scale of inorganic C storage is comparable to rates of organic C storage in nature-based climate solutions. This work demonstrates the importance of a previously unexplored pathway that dreissenid mussels are altering C cycling in the Laurentian Great Lakes and the thousands of other invaded lakes and rivers.

show abstract

“…2a), where mussels widely cover the lake bottom and seasonal Cladophora (July and August) frequently occur in shallower depths (typically < 10-m depth). In the Great Lakes, there has been a shift from zebra to quagga mussels in recent decades with zebra mussels remaining in shallow areas (Karatayev et al 2014(Karatayev et al , 2015(Karatayev et al , 2020. Recent mussel sampling in the Great Lakes suggests rough approximations of $ 90% quagga vs. $ 10% zebra (ECCC unpublished observations).…”

Section: Study Areamentioning

confidence: 99%

Predicting dreissenid mussel abundance in nearshore waters using underwater imagery and deep learning

Galloway

Brunet

Valipour

et al. 2022

Limnology & Ocean Methods

View full text Add to dashboard Cite

Accurate and cost‐effective dreissenid mussel abundance maps are vital to assess their ecological roles in aquatic systems. A deep neural network (DNN) modeling framework using semantic segmentation was developed to automatically assess the abundance distribution of two invasive mussel species: zebra and quagga. DNN models were trained on images captured in Lake Erie and Lake Ontario using an underwater color imaging technique. The accuracy of the method was assessed relative to manual laboratory counts of harvested mussels, their dry biomass, and percentage live coverage estimated from fixed‐size quadrats. Assessments performed on a test set collected from 2016 to 2018 show that DNN‐based mussel coverage predictions explain 79% of the variance in log biomass, and 71% for log abundance (N = 125). For reference, live coverage estimated by scuba divers was transformed and found to be a better predictor of biomass (93%) and abundance (91%) (N = 725), leaving room for improvement of our automated method. When identical images were presented to eight human analysts and the DNN, the agreement in live mussel coverage prediction was 85% (N = 189). Models generalize well to diverse underwater illuminations, camera orientations, and resolutions, but are adversely impacted by occluding vegetation and suspended sediment. DNN models are an efficient and accurate solution for mapping mussel abundances at a scale that was previously impossible. The method may be integrated with other studies to assess the mussels' impacts in a variety of aquatic ecosystems. Source code: https://github.com/AngusG/deep-learning-dreissenid and data http://10.5683/SP3/MZEBOJ for reproducing our method are publicly available.

show abstract

Dreissena in Lake Ontario 30 years post-invasion

Cited by 26 publications

References 56 publications

Effects of Round Goby on the Benthic Invertebrate Community and on Diets and Growth of Yellow Perch and White Perch in Oneida Lake, New York

Effects of Round Goby on the Benthic Invertebrate Community and on Diets and Growth of Yellow Perch and White Perch in Oneida Lake, New York

Revisiting carbon cycling in the Laurentian Great Lakes following dreissenid mussel invasion

Predicting dreissenid mussel abundance in nearshore waters using underwater imagery and deep learning

Contact Info

Product

Resources

About