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Kevin Krause (Former Employee)

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Donut plots illustrate the change in proportion of habitats assigned through 2005-2090

Observed monitoring data and predictive modelling help understand ongoing and future vulnerability of Chesapeake Bay watershed stream fish communities to climate and land-use change

Issue: The Chesapeake Bay Watershed (CBW) is experiencing effects of climate (warming temperatures and shifting precipitation patterns) and land-use/land-cover (LULC; transition from forest or agriculture to developed lands) change, and these trends are likely to continue under future scenarios of warming and population growth. Stream biodiversity may be vulnerable to ongoing and future climate...
By
Chesapeake Bay Activities, Eastern Ecological Science Center
link

Observed monitoring data and predictive modelling help understand ongoing and future vulnerability of Chesapeake Bay watershed stream fish communities to climate and land-use change

Issue: The Chesapeake Bay Watershed (CBW) is experiencing effects of climate (warming temperatures and shifting precipitation patterns) and land-use/land-cover (LULC; transition from forest or agriculture to developed lands) change, and these trends are likely to continue under future scenarios of warming and population growth. Stream biodiversity may be vulnerable to ongoing and future climate...
Learn More
link
Map of the Chesapeake Bay watershed with location of community samples identified by habitat size and aggregated ecoregions

Assessing the habitat conditions to support freshwater fisheries in the Chesapeake Watershed

Issue: The Chesapeake Bay Program partners are striving to improve habitat conditions for recreational fisheries and other native fishes in the Bay and its watershed. While national fish habitat assessments have been conducted, resource managers need more local information to focus restoration and protection efforts in Chesapeake Bay watershed. Conducting the fish-habitat assessments are...
By
Chesapeake Bay Activities, Eastern Ecological Science Center
link

Assessing the habitat conditions to support freshwater fisheries in the Chesapeake Watershed

Issue: The Chesapeake Bay Program partners are striving to improve habitat conditions for recreational fisheries and other native fishes in the Bay and its watershed. While national fish habitat assessments have been conducted, resource managers need more local information to focus restoration and protection efforts in Chesapeake Bay watershed. Conducting the fish-habitat assessments are...
Learn More

Attribution of fish sampling data to NHDPlus HR catchments within the Chesapeake Bay Watershed

This data release links fish survey data from a suite of programs in the Chesapeake Bay watershed to the NHDPlus High Resolution Region 02 networks, hereafter referred to as NHDPlusHR. The data set contains site name, survey program, coordinates of sample, ancillary information such as sample date and site location information where available, and HR Permanent Identifier. It also includes a confid
By
Chesapeake Bay Activities, Eastern Ecological Science Center

Model predictions of biological condition for small streams in the Chesapeake Bay Watershed, USA

This data release contains predictions of stream biological condition as defined by the Chesapeake basin-wide index of biotic integrity for stream macroinvertebrates (Chessie BIBI) using Random Forest models with landscape data for small streams (≤ 200 km2 in upstream drainage) across the Chesapeake Bay Watershed (CBW). Predictions were made at eight time periods (2001, 2004, 2006, 2008, 2011, 201
By
Land Management Research Program, Chesapeake Bay Activities, Eastern Ecological Science Center

Attribution of Chessie BIBI and fish sampling data to NHDPlusV2 Catchments within the Chesapeake Bay Watershed

This data release links fish survey data from a suite of programs in the Chesapeake Bay watershed as well the benthic macroinvertebrate sites included in the Chesapeake Bay Basin-wide Index of Biotic Integrity (Chessie BIBI) developed by the Interstate Commission on the Potomac River Basin (ICPRB) and available from the Chesapeake Bay Program. The data set contains site name, survey program, coord
By
Chesapeake Bay Activities, Eastern Ecological Science Center

Fish community and species distribution predictions for streams and rivers of the Chesapeake Bay Watershed

This data release contains predictions of selected fish community metrics and fish species occurrence using Random Forest models with landscape data for inland reaches across the Chesapeake Bay Watershed (CBW). Predictions were made at four time intervals (2001, 2006, 2011, and 2016) according to changes in landcover using the National Land Cover Database (NLCD). The fish sampling data used to com
By
Land Management Research Program, Chesapeake Bay Activities, Eastern Ecological Science Center

Community metrics from inter-agency compilation of inland fish sampling data within the Chesapeake Bay Watershed

This data release contains calculated metrics which summarize various biodiversity and functional/life history trait information about fish communities sampled across the Chesapeake Bay Watershed as well as ancillary data related to time/place of sampling and sampling methodology. The fish sampling data used to compute these metrics were compiled from various fish sampling programs conducted by st
By
Land Management Research Program, Chesapeake Bay Activities, Eastern Ecological Science Center

Land Cover, Climate, and Geological conditions summarized within Maryland DNR Biological Stream Survery (MBSS) Catchments

This dataset consists of several measures of landscape characteristics, each of which is summarized from raster data within spatial polygons. These spatial polygons represent the land area upstream of sampled stream reaches. These stream reaches were sampled by the Maryland Department of Natural Resources for the Maryland Biological Stream Survey program during survey rounds one, two, and four. La
By
Eastern Ecological Science Center

Chesapeake Bay Watershed historical and future projected land use and climate data summarized for NHDPlusV2 catchments

This dataset consists of historical estimates and future projections of land use and climate data summarized within the 1:100,000 National Hydrography Dataset Version 2 (NHDPlusV2) framework for catchments and upstream accumulated watersheds. Historical land use data are for the year 2005 and future land use projections are for the years 2030, 2060, and 2090. The projections offer a unique combina
By
Land Management Research Program, Chesapeake Bay Activities, Eastern Ecological Science Center

Observed and projected functional reorganization of riverine fish assemblages from global change

Climate and land-use/land-cover change (‘global change’) are restructuring biodiversity, globally. Broadly, environmental conditions are expected to become warmer, potentially drier (particularly in arid regions), and more anthropogenically developed in the future, with spatiotemporally complex effects on ecological communities. We used functional traits to inform Chesapeake Bay Watershed fish res
Authors
Taylor E Woods, Mary Freeman, Kevin P. Krause, Kelly O. Maloney
By
Ecosystems Mission Area, Water Resources Mission Area, Chesapeake Bay Activities, Eastern Ecological Science Center, Upper Midwest Environmental Sciences Center, Upper Midwest Water Science Center

Tracking status and trends in seven key indicators of stream health in the Chesapeake Bay watershed

“The Bay Connects us, the Bay reflects us” writes Tom Horton in the book “Turning the Tide—Saving the Chesapeake Bay”. The Chesapeake Bay watershed contains the largest estuary in the United States. The watershed stretches north to Cooperstown, New York, south to Lynchburg and Virginia Beach, Virginia, west to Pendleton County, West Virginia, and east to Seaford, Delaware, and Scranton, Pennsylvan
Authors
Samuel H. Austin, Matthew Joseph Cashman, John W. Clune, James E. Colgin, Rosemary M. Fanelli, Kevin P. Krause, Emily Majcher, Kelly O. Maloney, Chris A. Mason, Doug L. Moyer, Tammy M. Zimmerman
By
Ecosystems Mission Area, Water Resources Mission Area, Environmental Health Program, Chesapeake Bay Activities, Eastern Ecological Science Center, Maryland-Delaware-D.C. Water Science Center, Pennsylvania Water Science Center, South Atlantic Water Science Center (SAWSC), Virginia and West Virginia Water Science Center

Explainable machine learning improves interpretability in the predictive modeling of biological stream conditions in the Chesapeake Bay Watershed, USA

Anthropogenic alterations have resulted in widespread degradation of stream conditions. To aid in stream restoration and management, baseline estimates of conditions and improved explanation of factors driving their degradation are needed. We used random forests to model biological conditions using a benthic macroinvertebrate index of biotic integrity for small, non-tidal streams (upstream area ≤2
Authors
Kelly O. Maloney, Claire Buchanan, Rikke Jepsen, Kevin P. Krause, Matthew Joseph Cashman, Benjamin Paul Gressler, John A. Young, Matthias Schmid
By
Ecosystems Mission Area, Chesapeake Bay Activities, Eastern Ecological Science Center

Using fish community and population indicators to assess the biological condition of streams and rivers of the Chesapeake Bay watershed, USA

The development of indicators to assess relative freshwater condition is critical for management and conservation. Predictive modeling can enhance the utility of indicators by providing estimates of condition for unsurveyed locations. Such approaches grant understanding of where “good” and “poor” conditions occur and provide insight into landscape contexts supporting such conditions. However, as a
Authors
Kelly O. Maloney, Kevin P. Krause, Matthew Joseph Cashman, Wesley M. Daniel, Benjamin Paul Gressler, Daniel J. Wieferich, John A. Young
By
Ecosystems Mission Area, Water Resources Mission Area, Science Synthesis, Analysis and Research Program, Science Analytics and Synthesis (SAS) Program, Chesapeake Bay Activities, Eastern Ecological Science Center, Maryland-Delaware-D.C. Water Science Center, Wetland and Aquatic Research Center

Time marches on, but do the causal pathways driving instream habitat and biology remain consistent?

Stream ecosystems are complex networks of interacting terrestrial and aquatic drivers. To untangle these ecological networks, efforts evaluating the direct and indirect effects of landscape, climate, and instream predictors on biological condition through time are needed. We used structural equation modeling and leveraged a stream survey program to identify and compare important predictors driving
Authors
Richard H Walker, Matthew J. Ashton, Matthew Joseph Cashman, Rosemary M. Fanelli, Kevin P. Krause, Gregory Noe, Kelly O. Maloney
By
Eastern Ecological Science Center, Chesapeake Bay Activities

Disentangling the potential effects of land-use and climate change on stream conditions

Land‐use and climate change are significantly affecting stream ecosystems, yet understanding of their long‐term impacts is hindered by the few studies that have simultaneously investigated their interaction and high variability among future projections. We modeled possible effects of a suite of 2030, 2060, and 2090 land‐use and climate scenarios on the condition of 70,772 small streams in the Ches
Authors
Kelly O. Maloney, Kevin P. Krause, Claire Buchanan, Lauren Hay, Gregory J. McCabe, Zachary M. Smith, Terry L. Sohl, John A. Young
By
Ecosystems Mission Area, Ecosystems Land Change Science Program, Eastern Ecological Science Center, Chesapeake Bay Activities, Earth Resources Observation and Science (EROS) Center , Land Use Land Cover Modeling

Non-USGS Publications**

Krause, K.P., Wu, C‐L., Chu, M.L., Knouft, J.H. Fish assemblage–environment relationships suggest differential trophic responses to heavy metal contamination. Freshwater Biology (2019) 64: 632– 642. https://doi.org/10.1111/fwb.13248
Krause, K.P., Chien, H., Ficklin, D.L. et al. Streamflow regimes and geologic conditions are more important than water temperature when projecting future crayfish distributions. Climatic Change (2019) 154: 107. https://doi.org/10.1007/s10584-019-02435-4

**Disclaimer: The views expressed in Non-USGS publications are those of the author and do not represent the views of the USGS, Department of the Interior, or the U.S. Government.

xstrm_local

This Python package is intended to assist with summarization of landscape information to stream watershed drainages (local summaries). Methods are built in a generalized way and are intended to support efforts for any stream network having polygon based drainage watersheds. The output of these methods can be used to calculate stream network summaries using xstrm.
By
Science Synthesis, Analysis and Research Program, Science Analytics and Synthesis (SAS) Program, Community for Data Integration (CDI)

Summarize raster layers within overlapping polygons

Python code generated for the purpose of summarizing a defined set of discrete/categorical and/or continuous raster layers within zones that may be overlapping. Many widely used GIS tools to summarize raster layers within zones are not capable of handling overlapping zones. This code also allows for the computations to be completed over a number of separate raster layers at once and compiles the o
By
Eastern Ecological Science Center

Science and Products

link
Donut plots illustrate the change in proportion of habitats assigned through 2005-2090

Observed monitoring data and predictive modelling help understand ongoing and future vulnerability of Chesapeake Bay watershed stream fish communities to climate and land-use change

Issue: The Chesapeake Bay Watershed (CBW) is experiencing effects of climate (warming temperatures and shifting precipitation patterns) and land-use/land-cover (LULC; transition from forest or agriculture to developed lands) change, and these trends are likely to continue under future scenarios of warming and population growth. Stream biodiversity may be vulnerable to ongoing and future climate...
By
Chesapeake Bay Activities, Eastern Ecological Science Center
link

Observed monitoring data and predictive modelling help understand ongoing and future vulnerability of Chesapeake Bay watershed stream fish communities to climate and land-use change

Issue: The Chesapeake Bay Watershed (CBW) is experiencing effects of climate (warming temperatures and shifting precipitation patterns) and land-use/land-cover (LULC; transition from forest or agriculture to developed lands) change, and these trends are likely to continue under future scenarios of warming and population growth. Stream biodiversity may be vulnerable to ongoing and future climate...
Learn More
link
Map of the Chesapeake Bay watershed with location of community samples identified by habitat size and aggregated ecoregions

Assessing the habitat conditions to support freshwater fisheries in the Chesapeake Watershed

Issue: The Chesapeake Bay Program partners are striving to improve habitat conditions for recreational fisheries and other native fishes in the Bay and its watershed. While national fish habitat assessments have been conducted, resource managers need more local information to focus restoration and protection efforts in Chesapeake Bay watershed. Conducting the fish-habitat assessments are...
By
Chesapeake Bay Activities, Eastern Ecological Science Center
link

Assessing the habitat conditions to support freshwater fisheries in the Chesapeake Watershed

Issue: The Chesapeake Bay Program partners are striving to improve habitat conditions for recreational fisheries and other native fishes in the Bay and its watershed. While national fish habitat assessments have been conducted, resource managers need more local information to focus restoration and protection efforts in Chesapeake Bay watershed. Conducting the fish-habitat assessments are...
Learn More

Attribution of fish sampling data to NHDPlus HR catchments within the Chesapeake Bay Watershed

This data release links fish survey data from a suite of programs in the Chesapeake Bay watershed to the NHDPlus High Resolution Region 02 networks, hereafter referred to as NHDPlusHR. The data set contains site name, survey program, coordinates of sample, ancillary information such as sample date and site location information where available, and HR Permanent Identifier. It also includes a confid
By
Chesapeake Bay Activities, Eastern Ecological Science Center

Model predictions of biological condition for small streams in the Chesapeake Bay Watershed, USA

This data release contains predictions of stream biological condition as defined by the Chesapeake basin-wide index of biotic integrity for stream macroinvertebrates (Chessie BIBI) using Random Forest models with landscape data for small streams (≤ 200 km2 in upstream drainage) across the Chesapeake Bay Watershed (CBW). Predictions were made at eight time periods (2001, 2004, 2006, 2008, 2011, 201
By
Land Management Research Program, Chesapeake Bay Activities, Eastern Ecological Science Center

Attribution of Chessie BIBI and fish sampling data to NHDPlusV2 Catchments within the Chesapeake Bay Watershed

This data release links fish survey data from a suite of programs in the Chesapeake Bay watershed as well the benthic macroinvertebrate sites included in the Chesapeake Bay Basin-wide Index of Biotic Integrity (Chessie BIBI) developed by the Interstate Commission on the Potomac River Basin (ICPRB) and available from the Chesapeake Bay Program. The data set contains site name, survey program, coord
By
Chesapeake Bay Activities, Eastern Ecological Science Center

Fish community and species distribution predictions for streams and rivers of the Chesapeake Bay Watershed

This data release contains predictions of selected fish community metrics and fish species occurrence using Random Forest models with landscape data for inland reaches across the Chesapeake Bay Watershed (CBW). Predictions were made at four time intervals (2001, 2006, 2011, and 2016) according to changes in landcover using the National Land Cover Database (NLCD). The fish sampling data used to com
By
Land Management Research Program, Chesapeake Bay Activities, Eastern Ecological Science Center

Community metrics from inter-agency compilation of inland fish sampling data within the Chesapeake Bay Watershed

This data release contains calculated metrics which summarize various biodiversity and functional/life history trait information about fish communities sampled across the Chesapeake Bay Watershed as well as ancillary data related to time/place of sampling and sampling methodology. The fish sampling data used to compute these metrics were compiled from various fish sampling programs conducted by st
By
Land Management Research Program, Chesapeake Bay Activities, Eastern Ecological Science Center

Land Cover, Climate, and Geological conditions summarized within Maryland DNR Biological Stream Survery (MBSS) Catchments

This dataset consists of several measures of landscape characteristics, each of which is summarized from raster data within spatial polygons. These spatial polygons represent the land area upstream of sampled stream reaches. These stream reaches were sampled by the Maryland Department of Natural Resources for the Maryland Biological Stream Survey program during survey rounds one, two, and four. La
By
Eastern Ecological Science Center

Chesapeake Bay Watershed historical and future projected land use and climate data summarized for NHDPlusV2 catchments

This dataset consists of historical estimates and future projections of land use and climate data summarized within the 1:100,000 National Hydrography Dataset Version 2 (NHDPlusV2) framework for catchments and upstream accumulated watersheds. Historical land use data are for the year 2005 and future land use projections are for the years 2030, 2060, and 2090. The projections offer a unique combina
By
Land Management Research Program, Chesapeake Bay Activities, Eastern Ecological Science Center

Observed and projected functional reorganization of riverine fish assemblages from global change

Climate and land-use/land-cover change (‘global change’) are restructuring biodiversity, globally. Broadly, environmental conditions are expected to become warmer, potentially drier (particularly in arid regions), and more anthropogenically developed in the future, with spatiotemporally complex effects on ecological communities. We used functional traits to inform Chesapeake Bay Watershed fish res
Authors
Taylor E Woods, Mary Freeman, Kevin P. Krause, Kelly O. Maloney
By
Ecosystems Mission Area, Water Resources Mission Area, Chesapeake Bay Activities, Eastern Ecological Science Center, Upper Midwest Environmental Sciences Center, Upper Midwest Water Science Center

Tracking status and trends in seven key indicators of stream health in the Chesapeake Bay watershed

“The Bay Connects us, the Bay reflects us” writes Tom Horton in the book “Turning the Tide—Saving the Chesapeake Bay”. The Chesapeake Bay watershed contains the largest estuary in the United States. The watershed stretches north to Cooperstown, New York, south to Lynchburg and Virginia Beach, Virginia, west to Pendleton County, West Virginia, and east to Seaford, Delaware, and Scranton, Pennsylvan
Authors
Samuel H. Austin, Matthew Joseph Cashman, John W. Clune, James E. Colgin, Rosemary M. Fanelli, Kevin P. Krause, Emily Majcher, Kelly O. Maloney, Chris A. Mason, Doug L. Moyer, Tammy M. Zimmerman
By
Ecosystems Mission Area, Water Resources Mission Area, Environmental Health Program, Chesapeake Bay Activities, Eastern Ecological Science Center, Maryland-Delaware-D.C. Water Science Center, Pennsylvania Water Science Center, South Atlantic Water Science Center (SAWSC), Virginia and West Virginia Water Science Center

Explainable machine learning improves interpretability in the predictive modeling of biological stream conditions in the Chesapeake Bay Watershed, USA

Anthropogenic alterations have resulted in widespread degradation of stream conditions. To aid in stream restoration and management, baseline estimates of conditions and improved explanation of factors driving their degradation are needed. We used random forests to model biological conditions using a benthic macroinvertebrate index of biotic integrity for small, non-tidal streams (upstream area ≤2
Authors
Kelly O. Maloney, Claire Buchanan, Rikke Jepsen, Kevin P. Krause, Matthew Joseph Cashman, Benjamin Paul Gressler, John A. Young, Matthias Schmid
By
Ecosystems Mission Area, Chesapeake Bay Activities, Eastern Ecological Science Center

Using fish community and population indicators to assess the biological condition of streams and rivers of the Chesapeake Bay watershed, USA

The development of indicators to assess relative freshwater condition is critical for management and conservation. Predictive modeling can enhance the utility of indicators by providing estimates of condition for unsurveyed locations. Such approaches grant understanding of where “good” and “poor” conditions occur and provide insight into landscape contexts supporting such conditions. However, as a
Authors
Kelly O. Maloney, Kevin P. Krause, Matthew Joseph Cashman, Wesley M. Daniel, Benjamin Paul Gressler, Daniel J. Wieferich, John A. Young
By
Ecosystems Mission Area, Water Resources Mission Area, Science Synthesis, Analysis and Research Program, Science Analytics and Synthesis (SAS) Program, Chesapeake Bay Activities, Eastern Ecological Science Center, Maryland-Delaware-D.C. Water Science Center, Wetland and Aquatic Research Center

Time marches on, but do the causal pathways driving instream habitat and biology remain consistent?

Stream ecosystems are complex networks of interacting terrestrial and aquatic drivers. To untangle these ecological networks, efforts evaluating the direct and indirect effects of landscape, climate, and instream predictors on biological condition through time are needed. We used structural equation modeling and leveraged a stream survey program to identify and compare important predictors driving
Authors
Richard H Walker, Matthew J. Ashton, Matthew Joseph Cashman, Rosemary M. Fanelli, Kevin P. Krause, Gregory Noe, Kelly O. Maloney
By
Eastern Ecological Science Center, Chesapeake Bay Activities

Disentangling the potential effects of land-use and climate change on stream conditions

Land‐use and climate change are significantly affecting stream ecosystems, yet understanding of their long‐term impacts is hindered by the few studies that have simultaneously investigated their interaction and high variability among future projections. We modeled possible effects of a suite of 2030, 2060, and 2090 land‐use and climate scenarios on the condition of 70,772 small streams in the Ches
Authors
Kelly O. Maloney, Kevin P. Krause, Claire Buchanan, Lauren Hay, Gregory J. McCabe, Zachary M. Smith, Terry L. Sohl, John A. Young
By
Ecosystems Mission Area, Ecosystems Land Change Science Program, Eastern Ecological Science Center, Chesapeake Bay Activities, Earth Resources Observation and Science (EROS) Center , Land Use Land Cover Modeling

Non-USGS Publications**

Krause, K.P., Wu, C‐L., Chu, M.L., Knouft, J.H. Fish assemblage–environment relationships suggest differential trophic responses to heavy metal contamination. Freshwater Biology (2019) 64: 632– 642. https://doi.org/10.1111/fwb.13248
Krause, K.P., Chien, H., Ficklin, D.L. et al. Streamflow regimes and geologic conditions are more important than water temperature when projecting future crayfish distributions. Climatic Change (2019) 154: 107. https://doi.org/10.1007/s10584-019-02435-4

**Disclaimer: The views expressed in Non-USGS publications are those of the author and do not represent the views of the USGS, Department of the Interior, or the U.S. Government.

xstrm_local

This Python package is intended to assist with summarization of landscape information to stream watershed drainages (local summaries). Methods are built in a generalized way and are intended to support efforts for any stream network having polygon based drainage watersheds. The output of these methods can be used to calculate stream network summaries using xstrm.
By
Science Synthesis, Analysis and Research Program, Science Analytics and Synthesis (SAS) Program, Community for Data Integration (CDI)

Summarize raster layers within overlapping polygons

Python code generated for the purpose of summarizing a defined set of discrete/categorical and/or continuous raster layers within zones that may be overlapping. Many widely used GIS tools to summarize raster layers within zones are not capable of handling overlapping zones. This code also allows for the computations to be completed over a number of separate raster layers at once and compiles the o
By
Eastern Ecological Science Center
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