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29 results for “Laurentian Great Lakes”
Water transparency in the Laurentian Great Lakes
The Laurentian Great Lakes in the mid-east region of North America is one of the largest freshwater ecosystems in the world. This data set contains limnological data, focusing on underwater transparency in this ecosystem and the surrounding region from 1999-2024. Current water transparency data sets highlight the increase in offshore transparency measured by a deepening of average Secchi Disk depth since the invasion of the Dreissenid mussels. However, limited data exists on the Great Lakes to provide insight to the underwater optical environment of the offshore, nearshore, and surrounding water bodies of these lakes. These data illustrate the vertical underwater light environment with data from wavelengths of sunlight including photosynthetically active radiation (400 – 700 nm), UV-A radiation (320 - 400 nm) and UV-B radiation (290 - 320 nm). Understanding the depths to which these specific wavelengths of sunlight reach within a lake, as well as the substances within the lake that may influence the attenuation of sunlight can provide a picture of how habitats within the lake system have been impacted. This data set is a part of a continuous data collaboration among multiple research groups, and will be updated periodically as more data are made available. As such, this data set provides a snapshot of water transparency in the Great Lakes. The data here are contained in four files, including WaterTransparencyData_GreatLakes.csv, SiteInformation_GreatLakes.csv, Methods_GreatLakes.csv, and Variables_GreatLakes. The main data are in WaterTransparencyData_GreatLakes.csv. SiteInformation_GreatLakes.csv, Methods_GreatLakes.csv, and Variables_GreatLakes.csv support the main data file with descriptions of the sampling sites, methods by which samples were processed, and descriptions of variables, respectively.
FIGURE 1. Moraria hudsoni n in A new species of Moraria (Crustacea: Copepoda: Harpacticoida) from the Laurentian Great Lakes
FIGURE 1. Moraria hudsoni n. sp., female. A, habitus, dorsal view; B, posterior urosomites and caudal rami, dorsal view.
Bioinformatic pipeline from: Increasing confidence for discerning species and population compositions from metabarcoding assays of environmental samples: case studies of fishes in the Laurentian Great Lakes and Wabash River
<p>Community composition data are essential for conservation management, facilitating identification of rare native and invasive species, along with abundant ones. However, traditional capture-based morphological surveys require considerable taxonomic expertise, are time consuming and expensive, can kill rare taxa and damage habitats, and often are prone to false negatives. Alternatively, metabarcode assays can be used to assess the genetic identity and compositions of entire communities from environmental samples, comprising a more sensitive, less damaging, and relatively time- and cost-efficient approach. However, there is a trade-off between the stringency of bioinformatic filtering needed to remove false positives and the potential for false negatives. The present investigation thus evaluated use of four mitochondrial (mt) DNA metabarcode assays and a customized bioinformatic pipeline to increase confidence in species identifications by removing false positives, while achieving high detection probability. Positive controls were used to calculate sequencing error, and results that fell below those cutoff values were removed, unless found with multiple assays. The performance of this approach was tested to discern and identify North American freshwater fishes using lab experiments (mock communities and aquarium experiments) and processing of a bulk ichthyoplankton sample. The method then was applied to field environmental (e)DNA water samples taken concomitant with electrofishing surveys and morphological identifications. This protocol detected 100% of species present in concomitant electrofishing surveys in the Wabash River and an additional 21 that were absent from traditional sampling. Using single 1 L water samples collected from just four locations, the metabarcoding assays discerned 73% of the total fish species that were discerned in comparison to four months of an extensive electrofishing river survey in the Maumee River, along with an additional nine species. In both rivers, total fish species diversity was best resolved when all four metabarcode assays were used together, which identified 35 additional species missed by electrofishing. Ecological distinction and diversity levels among the fish communities also were better resolved with the metabarcode assays than with morphological sampling and identifications, especially with the combined assays. At the population-level, metabarcode analyses targeting the invasive round goby <i>Neogobius melanostomus</i> and the silver carp <i>Hypophthalmichthys molitrix</i> identified all population haplotype variants found using Sanger sequencing of morphologically sampled fish, along with additional intra-specific diversity, meriting further investigation. Overall findings demonstrated that the use of multiple metabarcode assays and custom bioinformatics that filter potential error from true positive detections improves confidence in evaluating biodiversity.</p>
A Stochastically Generated meteorological forcings for the Laurentian Great Lakes to support the Great Lakes Restoration Initiative
<p>The dataset consists of three folders, each with time series for the Laurentian Great Lakes and their contributing watersheds: </p> <ol> <li>"observed_historical.zip" : containing daily forcings for Large Lake Thermodynamics Model and Large Basin Runoff Model and Overlake Precipitation time series from GLERL Hydrometeorological Database and consistent with the inputs of GLSGyFS software.</li> <li>"baseline.zip" : 1000-yr long simulated daily meteorological time series using the Stochastic Weather Generator, without any thermodynamic climate perturbations. </li> <li>"scenarios.zip" : 30 scenarios of each 1000-yr long simulated daily meteorological time series using the Stochastic Weather Generator with different thermodynamic perturbations, consistent with Coupled Model Intercomparison Project 6 (CMIP6) projections for the Great Lakes region. </li> </ol> <p> </p> <p><strong>Acknowledgements: </strong></p> <p>This work was funded by the Great Lakes Restoration Initiative (GLRI) Action Plan 3, Focus Area 5.2 Conduct Comprehensive Science Programs and Projects. Funding for this work was also provided through the National Science Foundation Grant No. CBET-2144332, and the U.S. Geological Survey Northeast Climate Adaptation Science Center, which is managed by the USGS National Climate Adaptation Science Center, under Grant/Cooperative Agreement No. G21AC10601-00. The views and conclusions contained in this document are those of the authors and should not be interpreted as representing the opinions or policies of the U.S. Geological Survey. Mention of trade names or commercial products does not constitute their endorsement by the Northeast Climate Adaptation Science Center or the U.S. Geological Survey.</p>
Bioinformatic pipeline from: Increasing confidence for discerning species and population compositions from metabarcoding assays of environmental samples: case studies of fishes in the Laurentian Great Lakes and Wabash River
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Population genetics and origins of rainbow smelt (Osmerus mordax) in the Laurentian Great Lakes
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Data from: Origin of the Laurentian Great Lakes fish fauna through upward adaptive radiation cascade prior to the Last Glacial Maximum
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Indigenous Peoples and environmental research and monitoring within the Laurentian Great Lakes Basin: A systematic map
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Quantifying methane emissions from Laurentian Great Lakes estuaries using in situ measurements, remote sensing and machine learning
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Datasets relating (i) A wetland fish multimetric index to variation in agricultural stress among Laurentian Great Lakes coastal wetlands, (ii) Cyanobacteria biomass to total phosphorus concentrations among Canadian lakes
<p>We present two datasets of biological responses against environmental stresses. In the first dataset, the biological response and environmental stress variables are fish multimetric index of community health and agricultural stress, respectively, in watersheds draining to Laurentian Great Lakes. In the second dataset, the biological response and environmental stress variables are cyanobacterial biomass and total phosphorus, respectively, in Canadian Lakes.</p>
FIGURE 4. Moraria hudsoni n in A new species of Moraria (Crustacea: Copepoda: Harpacticoida) from the Laurentian Great Lakes
FIGURE 4. Moraria hudsoni n. sp., female. A, Left leg 1 and coupler; B, right leg 2 and coupler; C, left leg 3, coupler, and right leg 3 endopodite; D, leg 4; E, leg 5 (arrow indicates 6th seta, present in holotype female but not in most individuals examined).
FIGURE 3. Moraria hudsoni n in A new species of Moraria (Crustacea: Copepoda: Harpacticoida) from the Laurentian Great Lakes
FIGURE 3. Moraria hudsoni n. sp., female. A, Abdomen, ventral view; B, caudal ramus, lateral view; C, anal operculum and caudal rami, dorsal view; D, caudal ramus, ventral view; E, antennule; F, antenna; G, antennal exopodite, enlarged; H, mandible; I, maxilla; J, maxilliped.
FIGURE 6. Moraria hudsoni n in A new species of Moraria (Crustacea: Copepoda: Harpacticoida) from the Laurentian Great Lakes
FIGURE 6. Moraria hudsoni n. sp., male. A, antennule; B, leg 2 endopodite, frontal; C, leg 2 endopodite, lateraloblique view, showing terminal setae; D, leg 3 endopodite; E, right leg 4 endopodite of allotype specimen, lateraloblique view; F, left leg 4 endopodite of allotype specimen, frontal view; G, terminal spine of leg 4 endopodite of allotype specimen, oblique view, enlarged; H, leg 5.
FIGURE 5. Moraria hudsoni n in A new species of Moraria (Crustacea: Copepoda: Harpacticoida) from the Laurentian Great Lakes
FIGURE 5. Moraria hudsoni n. sp., male. A, habitus, lateral view (longest terminal caudal seta shown separately); B, habitus, dorsal view; C, urosome, ventral view. Scale bar applies to all figures.
FIGURE 2. Moraria hudsoni n in A new species of Moraria (Crustacea: Copepoda: Harpacticoida) from the Laurentian Great Lakes
FIGURE 2. Moraria hudsoni n. sp., female. A, habitus, lateral view (longest terminal caudal seta shown separately); B, habitus, dorsal view (arrow indicates detail of integumental points, which cover most of the body). Scale bar applies to all figures.
FIGURE 1. Moraria hudsoni n in A new species of Moraria (Crustacea: Copepoda: Harpacticoida) from the Laurentian Great Lakes
FIGURE 1. Moraria hudsoni n. sp., female. A, habitus, dorsal view; B, posterior urosomites and caudal rami, dorsal view.
FIGURE 1 in Reevaluation of the genus Cyclops Müller, 1776 (Cyclopoida: Cyclopidae) in the Laurentian Great Lakes basin: first report of the Palearctic species Cyclops divergens Lindberg, 1936 from Lake Erie and documentation of Cyclops sibiricus Lindberg, 1949 in the St. Marys River
FIGURE 1: St. Marys River C. sibiricus female (a) A1 17-segmented (b) A1 first segment without surface pits (c) A1 segment 12 with medium length aesthetasc arrowed (d) A1 segments 15−17 with hyaline membrane arrowed.
FIGURE 4 in Reevaluation of the genus Cyclops Müller, 1776 (Cyclopoida: Cyclopidae) in the Laurentian Great Lakes basin: first report of the Palearctic species Cyclops divergens Lindberg, 1936 from Lake Erie and documentation of Cyclops sibiricus Lindberg, 1949 in the St. Marys River
FIGURE 4: Lake Erie C. divergens female (a) A2 basipodite caudal surface ornamentation at position A, B, C (b) Mxp syncoxopodite with short distally hooked membranous element arrowed (c) P1 basipodite ornamented with row of spinules arrowed and medial spine with heteronomous setulation arrowed (d) P4 coxopodite ornamentation with spinules at positions A, C, D, and E (e) P4 coxopodite setae arrowed, extending beyond medial margin of basipodite
FIGURE 3 in Reevaluation of the genus Cyclops Müller, 1776 (Cyclopoida: Cyclopidae) in the Laurentian Great Lakes basin: first report of the Palearctic species Cyclops divergens Lindberg, 1936 from Lake Erie and documentation of Cyclops sibiricus Lindberg, 1949 in the St. Marys River
FIGURE 3: Lake Erie C. divergens female (a) A1 17-segmented (b) A1 first segment with dense pitting arrowed (c) A1 segment 12 with medium length aesthetasc arrowed (d) A1 segments 15−17 with hyaline membrane arrowed.
FIGURE 2 in Reevaluation of the genus Cyclops Müller, 1776 (Cyclopoida: Cyclopidae) in the Laurentian Great Lakes basin: first report of the Palearctic species Cyclops divergens Lindberg, 1936 from Lake Erie and documentation of Cyclops sibiricus Lindberg, 1949 in the St. Marys River
FIGURE 2: St. Marys River C. sibiricus female (a) A2 basipodite caudal surface ornamentation at position A, B, C (b) Mxl palp proximalmost seta without long setules and surface bear (c) Mxp syncoxopodite with long distally clubbed membranous element arrowed (d) P1 basipodite ornamented with row of spinules arrowed and medial spine with bare proximal margin arrowed (e) P4 coxopodite ornamented with spinules at positions A, B, C, D, and E (f) P4 coxopodite setae arrowed, not extending beyond medial margin of basipodite.
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