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Papers by Tom Hollenhorst

Research paper thumbnail of Predicting the Impacts of Development on Lake Superior North Shore Streams using High Resolution GIS Spatial Data

Minnesota Sea Grant as a Final Completion Report for Project Number: R/EH-6-07; University of Min... more Minnesota Sea Grant as a Final Completion Report for Project Number: R/EH-6-07; University of Minnesota Duluth, Natural Resources Reseach Institute

Research paper thumbnail of Great Lakes Monitoring - The Next Generation (Robots, Sensors, Satellites, and You!)

Research paper thumbnail of Environmental Indicators for the US. Great Lakes Coastal Region

Research paper thumbnail of The Great Lakes Hydrography Dataset: Consistent, Binational Watersheds for the Laurentian Great Lakes Basin

JAWRA Journal of the American Water Resources Association, 2016

Research paper thumbnail of Mapping ecosystem service indicators in a Great Lakes estuarine Area of Concern

Journal of Great Lakes Research, 2016

Research paper thumbnail of Scaling Issues in Mapping Riparian Zones with Remote Sensing Data: Quantifying Errors and Sources of Uncertainty

SCALING AND UNCERTAINTY ANALYSIS IN ECOLOGY, 2006

Research paper thumbnail of A spatial classification and database for management, research, and policy making: The Great Lakes aquatic habitat framework

Journal of Great Lakes Research, 2015

Research paper thumbnail of High-resolution maps of forest-urban watersheds present an opportunity for ecologists and managers

Research paper thumbnail of Landscape-Based Indicators

Research paper thumbnail of Determining Sources of Water to Great Lakes Coastal Wetlands: A Classification Approach

Wetlands, 2011

ABSTRACT Water and associated nutrients can enter freshwater and marine coastal wetlands from bot... more ABSTRACT Water and associated nutrients can enter freshwater and marine coastal wetlands from both watershed and offshore sources. Identifying the relative contribution of these potential sources, and the spatial scale at which sources are influenced by anthropogenic activities, are critical steps in wetland protection and restoration. We developed a hydrology-based classification scheme for Great Lakes coastal wetlands for the purpose of identifying dominant hydrologic influences and water sources. Classes were determined through analysis of data quantifying hydrologic linkages to lake (seiche) and watershed (watershed area, tributary discharge) in 57 wetlands distributed along the U.S. shoreline of the Laurentian Great Lakes. Wetlands were partitioned into four classes of hydrology that were predicted to differ in sources of water. Source water predictions were tested by comparing Chloride (Cl-) concentrations in wetland, lake, and tributary waters of the wetlands in each class. Results confirmed that classification based on quantitative hydrology data was successful in identifying groups of wetlands with similar water sources. Correlations between wetland Cl-, an indicator of anthropogenic disturbance, and agricultural and urban land uses suggest that differences among classes in water sources resulted in differences in the scale at which wetlands were connected to and influenced by landscapes.

Research paper thumbnail of Comparison of Simple and Multimetric Diatom-Based Indices for Great Lakes Coastline Disturbance

Journal of Phycology, 2008

Research paper thumbnail of Diatom-based Weighted-averaging Transfer Functions for Great Lakes Coastal Water Quality: Relationships to Watershed Characteristics

Journal of Great Lakes Research, 2006

Research paper thumbnail of Methods for Generating Multi-scale Watershed Delineations for Indicator Development in Great Lake Coastal Ecosystems

Journal of Great Lakes Research, 2007

Research paper thumbnail of Coastal Geomorphic and Lake Variability in the Laurentian Great Lakes: Implications for a Diatom-based Monitoring Tool

Journal of Great Lakes Research, 2007

Research paper thumbnail of Environmentally stratified sampling design for the development of Great Lakes environmental indicators

Environmental Monitoring and Assessment, 2005

Research paper thumbnail of Integrated Measures of Anthropogenic Stress in the U.S. Great Lakes Basin

Environmental Management, 2007

Research paper thumbnail of Human Influences on Water Quality in Great Lakes Coastal Wetlands

Environmental Management, 2008

Research paper thumbnail of Landscape and regional context differentially affect nest parasitism and nest predation for Wood Thrush in central Virginia, USA

Research paper thumbnail of Geographic, anthropogenic, and habitat influences on Great Lakes coastal wetland fish assemblages

Canadian Journal of Fisheries and Aquatic Sciences, 2009

We analyzed data from coastal wetlands across the Laurentian Great Lakes to identify fish assembl... more We analyzed data from coastal wetlands across the Laurentian Great Lakes to identify fish assemblage patterns and relationships to habitat, watershed condition, and regional setting. Nonmetric multidimensional scaling (NMDS) ordination of electrofishing catch-per-effort data revealed an overriding geographic and anthropogenic stressor gradient that appeared to structure fish composition via impacts on water clarity and vegetation structure. Wetlands in Lakes Erie and Michigan with agricultural watersheds, turbid water, little submerged vegetation, and a preponderance of generalist, tolerant fishes occupied one end of this gradient, while wetlands in Lake Superior with largely natural watersheds, clear water, abundant submerged vegetation, and diverse fishes occupied the other. Fish composition was also related to wetland morphology, hydrology, exposure, and substrate, but this was only evident within low-disturbance wetlands. Anthropogenic stress appears to homogenize fish compositi...

Research paper thumbnail of High-resolution assessment and visualization of environmental stressors in the Lake Superior basin

Aquatic Ecosystem Health & Management, 2011

Quantifying gradients of anthropogenic stress can inform the development of sample designs, provi... more Quantifying gradients of anthropogenic stress can inform the development of sample designs, provide an important covariate in modeling relationships of response variables, identify reference and highly-disturbed sites, and provide a baseline and guidance to ...

Research paper thumbnail of Predicting the Impacts of Development on Lake Superior North Shore Streams using High Resolution GIS Spatial Data

Minnesota Sea Grant as a Final Completion Report for Project Number: R/EH-6-07; University of Min... more Minnesota Sea Grant as a Final Completion Report for Project Number: R/EH-6-07; University of Minnesota Duluth, Natural Resources Reseach Institute

Research paper thumbnail of Great Lakes Monitoring - The Next Generation (Robots, Sensors, Satellites, and You!)

Research paper thumbnail of Environmental Indicators for the US. Great Lakes Coastal Region

Research paper thumbnail of The Great Lakes Hydrography Dataset: Consistent, Binational Watersheds for the Laurentian Great Lakes Basin

JAWRA Journal of the American Water Resources Association, 2016

Research paper thumbnail of Mapping ecosystem service indicators in a Great Lakes estuarine Area of Concern

Journal of Great Lakes Research, 2016

Research paper thumbnail of Scaling Issues in Mapping Riparian Zones with Remote Sensing Data: Quantifying Errors and Sources of Uncertainty

SCALING AND UNCERTAINTY ANALYSIS IN ECOLOGY, 2006

Research paper thumbnail of A spatial classification and database for management, research, and policy making: The Great Lakes aquatic habitat framework

Journal of Great Lakes Research, 2015

Research paper thumbnail of High-resolution maps of forest-urban watersheds present an opportunity for ecologists and managers

Research paper thumbnail of Landscape-Based Indicators

Research paper thumbnail of Determining Sources of Water to Great Lakes Coastal Wetlands: A Classification Approach

Wetlands, 2011

ABSTRACT Water and associated nutrients can enter freshwater and marine coastal wetlands from bot... more ABSTRACT Water and associated nutrients can enter freshwater and marine coastal wetlands from both watershed and offshore sources. Identifying the relative contribution of these potential sources, and the spatial scale at which sources are influenced by anthropogenic activities, are critical steps in wetland protection and restoration. We developed a hydrology-based classification scheme for Great Lakes coastal wetlands for the purpose of identifying dominant hydrologic influences and water sources. Classes were determined through analysis of data quantifying hydrologic linkages to lake (seiche) and watershed (watershed area, tributary discharge) in 57 wetlands distributed along the U.S. shoreline of the Laurentian Great Lakes. Wetlands were partitioned into four classes of hydrology that were predicted to differ in sources of water. Source water predictions were tested by comparing Chloride (Cl-) concentrations in wetland, lake, and tributary waters of the wetlands in each class. Results confirmed that classification based on quantitative hydrology data was successful in identifying groups of wetlands with similar water sources. Correlations between wetland Cl-, an indicator of anthropogenic disturbance, and agricultural and urban land uses suggest that differences among classes in water sources resulted in differences in the scale at which wetlands were connected to and influenced by landscapes.

Research paper thumbnail of Comparison of Simple and Multimetric Diatom-Based Indices for Great Lakes Coastline Disturbance

Journal of Phycology, 2008

Research paper thumbnail of Diatom-based Weighted-averaging Transfer Functions for Great Lakes Coastal Water Quality: Relationships to Watershed Characteristics

Journal of Great Lakes Research, 2006

Research paper thumbnail of Methods for Generating Multi-scale Watershed Delineations for Indicator Development in Great Lake Coastal Ecosystems

Journal of Great Lakes Research, 2007

Research paper thumbnail of Coastal Geomorphic and Lake Variability in the Laurentian Great Lakes: Implications for a Diatom-based Monitoring Tool

Journal of Great Lakes Research, 2007

Research paper thumbnail of Environmentally stratified sampling design for the development of Great Lakes environmental indicators

Environmental Monitoring and Assessment, 2005

Research paper thumbnail of Integrated Measures of Anthropogenic Stress in the U.S. Great Lakes Basin

Environmental Management, 2007

Research paper thumbnail of Human Influences on Water Quality in Great Lakes Coastal Wetlands

Environmental Management, 2008

Research paper thumbnail of Landscape and regional context differentially affect nest parasitism and nest predation for Wood Thrush in central Virginia, USA

Research paper thumbnail of Geographic, anthropogenic, and habitat influences on Great Lakes coastal wetland fish assemblages

Canadian Journal of Fisheries and Aquatic Sciences, 2009

We analyzed data from coastal wetlands across the Laurentian Great Lakes to identify fish assembl... more We analyzed data from coastal wetlands across the Laurentian Great Lakes to identify fish assemblage patterns and relationships to habitat, watershed condition, and regional setting. Nonmetric multidimensional scaling (NMDS) ordination of electrofishing catch-per-effort data revealed an overriding geographic and anthropogenic stressor gradient that appeared to structure fish composition via impacts on water clarity and vegetation structure. Wetlands in Lakes Erie and Michigan with agricultural watersheds, turbid water, little submerged vegetation, and a preponderance of generalist, tolerant fishes occupied one end of this gradient, while wetlands in Lake Superior with largely natural watersheds, clear water, abundant submerged vegetation, and diverse fishes occupied the other. Fish composition was also related to wetland morphology, hydrology, exposure, and substrate, but this was only evident within low-disturbance wetlands. Anthropogenic stress appears to homogenize fish compositi...

Research paper thumbnail of High-resolution assessment and visualization of environmental stressors in the Lake Superior basin

Aquatic Ecosystem Health & Management, 2011

Quantifying gradients of anthropogenic stress can inform the development of sample designs, provi... more Quantifying gradients of anthropogenic stress can inform the development of sample designs, provide an important covariate in modeling relationships of response variables, identify reference and highly-disturbed sites, and provide a baseline and guidance to ...

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