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In total this project has developed digital wetland inventory and habitat data for ten counties within and around the Great Lakes watershed of Wisconsin. Digital data has now been completed for the following counties: Sawyer, Sauk, Barron, Polk, Langlade, Menominee, Price, Shawano, Taylor, and Winnebago.
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: 2010,
2010,
2011,
2011,
2012,
As a major threat to global biodiversity, climate change will alter where and how we manage conservation lands (e.g., parks, refuges, wildlife management areas, natural areas). As a new challenge with high uncertainty, many conservation practitioners have yet to consider how to minimize their greenhouse gas contributions (i.e., mitigation), or reduce the vulnerability of natural systems to climate change (i.e., adaptation). This is particularly true for conservation land managers; because they are often pressed for time and resources, few have initiated long-term climate change planning and amended management activities. Furthermore, where available, climate change guidance is often coarse-level, vague, and beyond...
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: EARTH SCIENCE > LAND SURFACE > LANDSCAPE,
Great Lakes,
LCC Network Science Catalog,
Report,
completed,
Many taxa of North American unionid mussels are imperiled due to biofouling by invasive dreissenid mussels. Here, we report on biofouling rates of unionid mussels suspended in cages during the growing season in nearshore embayments in Lake Erie (2013-2016), Lake Michigan (Green Bay 2016, Grand Traverse Bay 2015) and Lake Huron (Saginaw Bay 2015). Mussels were deployed in early summer (late May or early June) and retrieved in late summer or fall (late August or early September). Wet weights were collected from mussels before and after removal of biofouling taxa (primarily dreissenid mussels).
These data consist of down-looking images of Lake Michigan benthos, collected in 2020 and 2021 with an autonomous underwater vehicle (AUV). Information about each image (i.e., latitude, longitude, depth from surface, altitude, roll, pitch, yaw, and creation time) can be found in the associated csv file. Substrate type was divided into 9 classes based on the Coastal and Marine Ecological Classification Standard (CMECS) and each image was assigned a substrate class by at least 3 trained labelers.
Categories: Data;
Tags: Coarse Unconsolidated Substrate,
Fine Unconsolidated Substrate,
Geologic Substrate,
Geomorphology,
Great Lakes,
This represents the flowline network in Connecting River Systems Restoration Assessment (CRSRA). It is attributed with the number of disconnections between the reach and the connecting river system. These data will help identify the condition of hydrologic separation between potential restoration areas and the connecting river system. Low numbers represent fewer disconnections such as culverts between the reach and the rivers requiring no flow network modification to restore the area.
Categories: Data;
Types: Citation,
Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Artificial Path,
Canal / Ditch,
Detroit River,
FWHydrography,
Great Lakes,
Topobathy was surveyed during the fall of 2022 for two locations along Minnesota Point, where past beach nourishment (dredge materials) were placed. These topobathymetric surveys of Minnesota Point and Lake Superior are repeat surveys that will be used evaluate movement of placed material and overall change of near-shore bathymetry. The data was acquired using a lidar sensor, and single-beam and multibeam sonars. The data includes DEMs of the terrestrial beach areas and near-shore bathymetries of Lake Superior near the Duluth and Superior entries of Minnesota Point, 2-foot smoothed contours, LAS and XYZ files. Data were collected in cooperation with the U.S. Army Corps of Engineers (USACE), Detroit District.
This dataset is comprised of three files containing northing, easting, and elevation ("XYZ") information for light detection and ranging (lidar) data representing the beach topography and sonar data representing near-shore bathymetry of Lake Superior at Minnesota Point, near the Duluth entry, Duluth, Minnesota. The point data are the same as that in the LAS files that were used to create the digital elevation models (DEMs) of the approximate 1.78 square kilometer surveyed area. Lidar data were collected November 01, 2022 using a boat mounted Velodyne VLP-16 unit and methodology similar to that described by Huizinga and Wagner (2019). Multibeam sonar data were collected October 31-November 01, 2022 using a Norbit...
This tabular data set represents the 30 year (1971 - 2000) mean annual minimum temperature (Celsius) from 800m PRISM data compiled for two spatial components of the NHDPlus version 2 data suite (NHDPlusv2) for the conterminous United States; 1) individual reach catchments and 2) reach catchments accumulated upstream through the river network. This dataset can be linked to the NHDPlus version 2 data suite by the unique identifier COMID. The source data for 30 year (1971 - 2000) mean annual minimum temperature (Celsius) from 800m PRISM data was produced by the PRISM Group at Oregon State University. Units are Degree Celsius. Reach catchment information characterizes data at the local scale. Reach catchments accumulated...
These data contain morphometric measurements collected on the left side of Cisco (Coregonus artedi) collected from Lake Ontario in 2018. Measurements were obtained by two methods, first by direct measurements made on the thawed specimens using a hand caliper by one person, then using a digital image technique. The digital image measurements were completed by two different measurers to evaluate how reproducible measurements extracted from digital images were between the two measurers.
Description of Work The first major goal of this project is to characterize and evaluate the extent to which contaminants of emerging concern (CECs) threaten fish and other wildlife in the Great Lakes. This includes identifying and characterizing CECs in the Great Lakes Basin, identifying risk-based screening concentrations for priority CECs, evaluating population-relevant effects of complex mixtures on biota, and identifying the Great Lakes waterways at greatest risk. The second major goal of this project is to pilot and develop a short-term and an ongoing long-term state-of-the-art bioeffects surveillance program for the Great Lakes basin. This includes developing strategies which will account for variable conditions...
Categories: Project;
Tags: Biology,
Contaminants,
GLRI,
Great Lakes,
Great Lakes Restoration Initiative,
Description of Work During 2014-2016, researchers at the USGS Lake Erie Biological Station in collaboration with the University of Toledo used three different gears to try to capture eggs and larvae of Grass Carp. Bongo nets, so named because when held up they resemble Bongo drums, are fine-mesh, cone-shaped nets that are towed through the water for 5 minutes. These nets capture floating eggs (Grass Carp eggs float) and any small fish that can’t swim fast enough to get out of the way. Light traps are fished at night and capture fish that are attracted to light – like Grass Carp. Light traps are fished for about 1 hour at a time in backwater areas where small fish seek cover from current and predators and abundant...
Categories: Project;
Tags: Asian Carp,
GLRI,
Great Lakes,
Great Lakes Restoration Initiative,
Great Lakes Restoration Initiative,
Point locations for collections of Michigan fish in the Lake Michigan basin.
Point locations for collections of Michigan fish in the Lake Michigan basin.
Species occurrence data were obtained from the Atlas of Spawning and Nursery Areas of Great Lakes Fishes (Goodyear et al. 1982). The atlas contains information on all of the commercially and recreationally important species that use the tributaries, littoral and open-water areas of the Great Lakes as spawning and nursery habitats. Close to 9500 geo-referenced data records (occurrences of fish species) were imported into ArcView GIS. The 139 fish taxa reported in the Atlas had to be grouped into fewer broad categories to produce meaningful distribution maps. We chose three functional classification schemes. Jude and Pappas (1992) used Correspondence Analysis to partition fish species associated with the open...
Species occurrence data were obtained from the Atlas of Spawning and Nursery Areas of Great Lakes Fishes (Goodyear et al. 1982). The atlas contains information on all of the commercially and recreationally important species that use the tributaries, littoral and open-water areas of the Great Lakes as spawning and nursery habitats. Close to 9500 geo-referenced data records (occurrences of fish species) were imported into ArcView GIS. The 139 fish taxa reported in the Atlas had to be grouped into fewer broad categories to produce meaningful distribution maps. We chose three functional classification schemes. Jude and Pappas (1992) used Correspondence Analysis to partition fish species associated with the open...
Maps of areas greater than 0.2 hectare (0.5 acre) dominated by invasive Phragmites australis were created for the coastal region (shoreline to 10 km inland) of the United States side the Great Lakes and connecting water ways. The maps were developed using unsupervised/supervised classification methods and ground truth data collected during 2010 and 2011 in conjunction with multi-season ALOS PALSAR imagery (for the remote sensing-based iterative classification process), as well as through the interpretation of aerial photography to reduce classification confusion. Overall classification accuracy compared to field data for mapping was approximately 86%.
Categories: Data,
Map;
Types: Map Service,
OGC WMS Layer;
Tags: Accountability,
GLRI,
Great Lakes,
Great Lakes Restoration Initiative,
Invasive Species,
A bathymetric layer for Lake Huron, obtained from the Great Lakes Information Network (GLIN) at http://gis.glin.net/ogc/services.php. NOAA is engaged in a program to compile Great Lakes bathymetric data and make them readily available to the public, especially to the communities concerned with Great Lakes science, pollution, coastal erosion, response to climate changes, threats to lake ecosystems, and health of the fishing industry. This program is managed by NGDC and it relies on the cooperation of NOAA/Great Lakes Environmental Research Laboratory, NOAA/National Ocean Service, the Canadian Hydrographic Service, other agencies, and academic laboratories. Compilation of new bathymetry for the Great Lakes is...
Description of Work The Science in the Great Lakes (SiGL) Mapper is a map-based discovery tool that spatially displays basin-wide multi-disciplinary monitoring and research activities conducted by both USGS and partners from all five Great Lakes. It was designed to help Great Lakes researchers and managers strategically plan, implement, and analyze monitoring and restoration activities by providing easy access to historical and on-going project metadata while allowing them to identify gaps (spatially and topically) that have been underrepresented in previous efforts or need further study. SiGL provides a user-friendly and efficient way to explore Great Lakes projects and data through robust search options while...
Categories: Project;
Tags: Accountability,
GLRI,
Great Lakes,
Great Lakes Restoration Initiative,
Great Lakes Restoration Initiative,
A bathymetric layer for Lake Ontario, obtained from the Great Lakes Information Network (GLIN) at http://gis.glin.net/ogc/services.php. NOAA is engaged in a program to compile Great Lakes bathymetric data and make them readily available to the public, especially to the communities concerned with Great Lakes science, pollution, coastal erosion, response to climate changes, threats to lake ecosystems, and health of the fishing industry. This program is managed by NGDC and it relies on the cooperation of NOAA/Great Lakes Environmental Research Laboratory, NOAA/National Ocean Service, the Canadian Hydrographic Service, other agencies, and academic laboratories. Compilation of new bathymetry for the Great Lakes...
A bathymetric layer for Lake Michigan, obtained from the Great Lakes Information Network (GLIN) at http://gis.glin.net/ogc/services.php. NOAA is engaged in a program to compile Great Lakes bathymetric data and make them readily available to the public, especially to the communities concerned with Great Lakes science, pollution, coastal erosion, response to climate changes, threats to lake ecosystems, and health of the fishing industry. This program is managed by NGDC and it relies on the cooperation of NOAA/Great Lakes Environmental Research Laboratory, NOAA/National Ocean Service, the Canadian Hydrographic Service, other agencies, and academic laboratories. Compilation of new bathymetry for the Great Lakes...
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