Ecologist
Email:
kbouska@usgs.gov
Office Phone:
608-781-6344
Fax:
608-783-6066
ORCID:
0000-0002-4115-2313
Location
2630 Fanta Reed Road
La Crosse
, WI
54603
US
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The table provides all fish collected using two different electrofishing methods at Illinois River sites in 2012 and 2013. Length and weights were taken on most species and gender was taken from Silver Carp. Fishes were categorized whether they were netters (caught by nets) or jumpers (jumped in the boat while sampling) and only netters were used in analyses. Large numbers of shad were collected in 2013 and an additional spreadsheet includes abundance data in an aggregated form for those sites. The data is not sensitive/classified and there are no legal restrictions on who may obtain or use the data.
Categories: Data;
Types: Citation;
Tags: Fishes,
Fishing with Benthic Mobile Gear,
Illinois,
Illinois River,
Native fish community, All tags...
USGS Science Data Catalog (SDC),
Upper Mississippi River System,
acoustic doppler current profiling,
electrofishing,
field sampling,
fish,
fisheries,
fishery resources, Fewer tags
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This data release contains the climate change model inputs and Soil and Water Assessment Tool (SWAT) model outputs from 360 HUC-8 watersheds in the Midwest United States (Illinois, Indiana, Iowa, Michigan, Minnesota, Ohio, and Wisconsin), that were generated using the HAWQS (Hydrologic and Water Quality System) platform (https://hawqs.tamu.edu). The summarized data for a watershed-based climate change vulnerability assessment for U.S. Fish and Wildlife Service is also provided, along with the R code used to summarize the raw outputs. Watershed-based Midwest Climate Change Vulnerability Assessment Tool: https://rconnect.usgs.gov/CC_Vulnerabi
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Future climate conditions in the Upper Mississippi River Basin are projected to include many more extreme precipitation events. These intense periods of rain can lead to flooding of the Mississippi River itself, as well the small streams and rivers that feed it. This flooding presents a challenge for local communities, farmers, small businesses, river users, and the ecosystems and wildlife in the area. To reduce the damage done by these extreme rainfall events, ‘natural solutions’ are often helpful. This might include preserving forests and grasslands to absorb rainwater before it arrives at streams or restoring wetlands to slow and clean runoff water. For river and natural resource managers to adapt to future climate...
Categories: Project;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: 2022,
CASC,
Drought, Fire and Extreme Weather,
Drought, Fire and Extreme Weather,
Extreme Weather, All tags...
Extreme Weather,
Midwest,
Midwest CASC,
Other Water,
Projects by Region,
Rivers, Streams and Lakes,
Rivers, Streams and Lakes,
Science Tools for Managers,
Science Tools for Managers,
Social Science,
Social Science,
State of the Science,
Water, Coasts and Ice,
Water, Coasts and Ice, Fewer tags
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This dataset contains the input (temperature and precipitation from climate models) and output from the Soil and Water Assessment Tool (SWAT) model runs using the Hydrologic and Water Quality System (HAWQS) platform (https://hawqs.tamu.edu/). The HAWQS platform is an online tool developed by Texas A&M and US EPA to allow scientists and decision-makers to run large scale watershed simulation models using the Soil & Water Assessment Tool (SWAT) model without the need to download/install software, gather input data, perform initialization steps, or use up local computer resources. We ran the model at the Hydrologic Unit Code-8 scale over Region 3 of the United States Fish and Wildlife Service (Illinois, Indiana, Iowa,...
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This file contains five metrics that were selected to collectively represent the adaptive capacity of each of the 360 HUC-8 watersheds in US Fish and Wildlife Service Region 3 (Illinois, Indiana, Iowa, Michigan, Minnesota, Missouri, Ohio, and Wisconsin). The metrics were: percent cultivated, density of dams, projected increase in developed land cover, landscape diversity and local connectedness. Percent cultivated land cover was obtained from the National Agricultural Statistics Services 2018 Cultivated layer and was calculated by dividing the number of cultivated grid cells by the total number of grid cells in each watershed. Density of dams was calculated as the number of dams per area of the watershed using the...
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