As a scientist in Core Science Systems, Daniel Wieferich helps develop, manage, and analyze national scale biogeographic data. Daniel has worked with Science Analytics and Synthesis Program since 2014.
Daniel has a B.S. and M.S. in Fisheries and Wildlife from Michigan State University, with a specialization in Spatial Information Processing. Daniel also holds a Computer Programmer/Analyst Certificate from Lansing Community College. His graduate work focused on population dynamics and distribution of an invasive forest insect (Beech Scale) in Michigan. In 2009, Daniel started working for the Aquatic Landscape Ecology Lab in the Department of Fisheries and Wildlife at Michigan State University. Here he played a leading role of geospatial data management and analyses for regional and national assessments of fish habitat through collaborative efforts with the National Fish Habitat Partnership, U.S. Geological Survey, U.S. Fish and Wildlife Service, and Midwest states.
As a member of the Science Analytics and Synthesis Program Daniel continues an active role in the National Fish Habitat Partnership (NFHP) serving as a co-lead of the National Science and Data Committee and a USGS point of contact for NFHP data management and display efforts. Daniel is also an active member of the USGS Community of Data Integration.
Professional Experience
Physical Scientist, USGS Science Analytics and Synthesis (SAS) (2014 - Present)
GIS Analyst and Database Manager, Michigan State University, Department of Fisheries and Wildlife (2009-2014)
Graduate Research Assistant, Michigan State University, Department of Fisheries and Wildlife (2007-2009)
Education and Certifications
Certificate 2014, Computer Programmer/Analyst, Lansing Community College
BS 2007, Fisheries and Wildlife with Specialization: Spatial Information Processing (GIS), Michigan State University
MS 2009, Fisheries and Wildlife, Michigan State University
Science and Products
Chesapeake Bay Aquatic Habitat Assessments
Aquatic Gap Analysis Vision
Knowledge Extraction Algorithms (KEA): Turning Literature Into Data
National Stream Summarization: Standardizing Stream-Landscape Summaries
National Dam Removal Database: A living database for information on dying dams
“ChesBay 24k – LU": Land Use/Land Cover Related Data Summaries for the Chesapeake Bay Watershed Within NHD Plus HR catchments
“ChesBay 24k – NE": Natural Environment Related Data Summaries for the Chesapeake Bay Watershed Within NHD Plus HR catchments
“ChesBay 24k – CL": Climate Related Data Summaries for the Chesapeake Bay Watershed Within NHD Plus HR catchments
“ChesBay 24k – HU": Human Related Data Summaries for the Chesapeake Bay Watershed Within NHD Plus HR catchments
Compilation of cost estimates for dam removal projects in the United States
Aquatic Gap Analysis Project (AGAP) Aquatic Species Distribution Modeling on the National Hydrography Dataset Plus Version 2.1
Database of Stream Crossings in the United States
Waterfalls and Rapids in the Conterminous United States Linked to the National Hydrography Datasets V2.0
Wyoming Landscape Conservation Initiation Literature Database
USGS Dam Removal Science Database v4.0
Locations of mines and mining activity in the contiguous United States 2013
Hawaii Waterfalls Linked to the National Hydrography Dataset
Patterns, drivers, and a predictive model of dam removal cost in the United States
Using fish community and population indicators to assess the biological condition of streams and rivers of the Chesapeake Bay watershed, USA
U.S. Geological Survey science for the Wyoming Landscape Conservation Initiative—2018 annual report
Community for data integration 2018 funded project report
Protected areas lacking for many common fluvial fishes of the conterminous USA
U.S. Geological Survey science for the Wyoming Landscape Conservation Initiative—2016 annual report
Landscape context and the biophysical response of rivers to dam removal in the United States
Community for Data Integration 2016 annual report
Informing watershed connectivity barrier prioritization decisions: A synthesis
Community for Data Integration 2015 annual report
FishVis, A regional decision support tool for identifying vulnerabilities of riverine habitat and fishes to climate change in the Great Lakes Region
Through a fish's eye: The status of fish habitats in the United States 2015
hydrolink - python package
xstrm_local
Dam Removal Information Portal Dashboard Python Dash Software
xstrm
PubLink
Science and Products
- Science
Chesapeake Bay Aquatic Habitat Assessments
Eastern Ecological Science Center research ecologists are working with state and local partners to develop multiple biological assessments of non-tidal stream and river conditions in the Chesapeake Bay watershed.Aquatic Gap Analysis Vision
The Aquatic Gap Analysis Project (AGAP) works to synthesize existing data and generate new data products to answer complex questions about aquatic species, their habitats and their conservation needs at multiple scales. AGAP is working to build a national data framework that makes data management and sharing efficient.Knowledge Extraction Algorithms (KEA): Turning Literature Into Data
Identifying, extracting, and mobilizing information from current and historical literature is a time-consuming part of organizing and collating synthetic data productions. This project explored the use of algorithm-based methods to identify and extract occurrence information from the GeoDeepDive (GDD) literature database to support upkeep of the Nonindigenous Aquatic Species (NAS) data. The GeoDeeNational Stream Summarization: Standardizing Stream-Landscape Summaries
As research and management of natural resources shift from local to regional and national scales, the need for information about aquatic systems to be summarized to multiple scales is becoming more apparent. Recently, four federally funded national stream assessment efforts (USGS Aquatic GAP, USGS National Water-Quality Assessment Program, U.S. Environmental Protection Agency [EPA] StreamCat, andNational Dam Removal Database: A living database for information on dying dams
The United States has over 2 million dams on rivers and streams (Graf, 1999), and more than 84,000 of the larger dams are documented in the congressionally mandated National Inventory of Dams (U.S. Army Corps of Engineers, 2015). The average age of these National Inventory of Dams is 52 years; by the year 2030, over 80 percent will be at least 50 years old (American Society of Civil Engineers, 201 - Data
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“ChesBay 24k – LU": Land Use/Land Cover Related Data Summaries for the Chesapeake Bay Watershed Within NHD Plus HR catchments
These tabular data are summaries of land use/land cover related variables within catchments of the Chesapeake Bay watershed using the Xstrm methodology at 1:24,000 scale. Variables being counted as land use/land cover related contain all land use and land cover data including datasets that are split off or combined from those data (eg. agriculture or impervious classes only datasets). Outputs cons“ChesBay 24k – NE": Natural Environment Related Data Summaries for the Chesapeake Bay Watershed Within NHD Plus HR catchments
These tabular data are summaries of natural environment related variables within catchments of the Chesapeake Bay watershed using the Xstrm methodology at 1:24,000 scale. Variables being counted as natural environment related include topography, soils/geology, hydrology/geomorphology, and other physical aspects of surface waters (temperature, flow, etc.). Outputs consist of tabular comma-separated“ChesBay 24k – CL": Climate Related Data Summaries for the Chesapeake Bay Watershed Within NHD Plus HR catchments
These tabular data are summaries of climate related variables within catchments of the Chesapeake Bay watershed using the Xstrm methodology at 1:24,000 scale. Variables being counted as climate related include temperature and precipitation by both annual and monthly values. Outputs consist of tabular comma-separated values files (CSVs) for the local catchment and network summaries linked to the Na“ChesBay 24k – HU": Human Related Data Summaries for the Chesapeake Bay Watershed Within NHD Plus HR catchments
These tabular data are summaries of human related landscape variables within catchments of the Chesapeake Bay watershed using the Xstrm methodology at 1:24,000 scale. Variables being counted as human related include agriculture, barriers, road density and road/stream crossing data. Outputs consist of tabular comma-separated values files (CSVs) for both local catchment and network summaries linkedCompilation of cost estimates for dam removal projects in the United States
This dataset provides cost estimates for 668 dam removal projects occurring in the United States. Cost estimates were obtained by searching the internet for sources of information that mention the cost of dam removal projects listed in the USGS Dam Removal Information Portal. When cost data were not available for a dam removal but contact information was, then personal communications were used toAquatic Gap Analysis Project (AGAP) Aquatic Species Distribution Modeling on the National Hydrography Dataset Plus Version 2.1
This USGS data release contains products that resulted from aquatic species distribution modeling in the United States on the National Hydrography Dataset Plus Version 2.1. Source data, supporting code and model results are documented in this data release. The file species_model_list.csv provides a list of most recent models for each combination of species, habitat, and region.Database of Stream Crossings in the United States
This USGS data release is intended to provide a baselayer of information on likely stream crossings throughout the United States. The geopackage provides likely crossings of infrastructure and streams and provides observed information that helps validate modeled crossings and build knowledge about associated conditions through time (e.g. crossing type, crossing condition). Stream crossings were deWaterfalls and Rapids in the Conterminous United States Linked to the National Hydrography Datasets V2.0
This GeoJSON dataset contains information about 10780 waterfall and 1080 rapid locations (referred to as falls throughout the metadata) and characteristics (e.g. type and height) for the conterminous United States. This dataset centralizes known information about falls while providing basic quality control (i.e. resolving duplicate records and spatial accuracy checks) and linkages to stream networWyoming Landscape Conservation Initiation Literature Database
The Wyoming Landscape Conservation Initiative Literature Database is a collection of publication records that reference the Wyoming Landscape Conservation Initiative (WLCI). The database was developed in an effort to provide the WLCI community with a more functional publication citation index and storage system. By maintaining the literature database, the WLCI community has the opportunity to streUSGS Dam Removal Science Database v4.0
This database is the result of an extensive literature search aimed at identifying documents relevant to the emerging field of dam removal science. In total the database contains 214 citations that contain empirical monitoring information associated with 181 different dam removals across the United States and abroad. Data includes publications through 2016 and supplemented with the U.S. Army CorpsLocations of mines and mining activity in the contiguous United States 2013
This dataset includes locations and associated information about mines and mining activity in the contiguous United States. The database was developed by combining publicly available national datasets of mineral mines, uranium mines, and minor and major coal mine activities. This database was developed in 2013, but temporal range of mine data varied dependent on source. Uranium mine information caHawaii Waterfalls Linked to the National Hydrography Dataset
This dataset contains information about waterfall locations and estimated waterfall heights on five of the main Hawaiian Islands including Kauai, Oahu, Maui, Molokai, and Hawaii. Initial spatial information was gathered from the National Hydrography Dataset (NHD), Geographic Names Information System (GNIS), the Hawaii Statewide GIS Program, and the World Waterfall Database. Where image quality per - Publications
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Patterns, drivers, and a predictive model of dam removal cost in the United States
Given the burgeoning dam removal movement and the large number of dams approaching obsolescence in the United States, cost estimating data and tools are needed for dam removal prioritization, planning, and execution. We used the list of removed dams compiled by American Rivers to search for publicly available reported costs for dam removal projects. Total cost information could include component cAuthorsJeffrey J. Duda, Suman Jumani, Daniel J. Wieferich, Desiree D. Tullos, S. Kyle McKay, Timothy J. Randle, Alvin Jansen, Susan Bailey, Benjamin Lorenz Jensen, Rachelle Carina Johnson, Ella J. Wagner, Kyla Breanne Richards, Seth J. Wenger, Eric J. Walther, Jennifer A. BountryUsing 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 aAuthorsKelly O. Maloney, Kevin P. Krause, Matt J. Cashman, Wesley Daniel, Benjamin Paul Gressler, Daniel J. Wieferich, John A. YoungU.S. Geological Survey science for the Wyoming Landscape Conservation Initiative—2018 annual report
The Wyoming Landscape Conservation Initiative (WLCI) was established in 2007 as a collaborative interagency partnership to develop and implement science-based conservation actions. During the past 11 years, partners from U.S. Geological Survey (USGS), State and Federal land management agencies, universities, and the public have collaborated to implement a long-term (more than 10 years) science-basAuthorsPatrick J. Anderson, Cameron L. Aldridge, Jason S. Alexander, Timothy J. Assal, Steven Aulenbach, Zachary H. Bowen, Anna D. Chalfoun, Geneva W. Chong, Holly Copeland, David R. Edmunds, Steve Germaine, Tabitha Graves, Julie A. Heinrichs, Collin G. Homer, Christopher Huber, Aaron Johnston, Matthew J. Kauffman, Daniel J. Manier, Ryan R. McShane, Cheryl A. Eddy-Miller, Kirk A. Miller, Adrian P. Monroe, Michael S. O'Donnell, Anna Ortega, Annika W. Walters, Daniel J. Wieferich, Teal B. Wyckoff, Linda ZeigenfussCommunity for data integration 2018 funded project report
The U.S. Geological Survey Community for Data Integration annually funds small projects focusing on data integration for interdisciplinary research, innovative data management, and demonstration of new technologies. This report provides a summary of the 10 projects funded in fiscal year 2018, outlining their goals, activities, and accomplishments.AuthorsLeslie Hsu, Caitlin M. Andrews, John B. Bradford, Daniel D. Buscombe, Katherine J. Chase, Wesley M. Daniel, Jeanne M. Jones, Pam Fuller, Benjamin B. Mirus, Matthew E. Neilson, Hans W. Vraga, Jessica J. Walker, Dennis H. Walworth, Jonathan Warrick, Jake Weltzin, Daniel J. Wieferich, Nathan J. WoodProtected areas lacking for many common fluvial fishes of the conterminous USA
AimTo assess the effectiveness of protected areas in two catchment scales (local and network) in conserving regionally common fluvial fishes using modelled species distributions.LocationConterminous United States.MethodsA total of 150 species were selected that were geographically widespread, abundant, non‐habitat specialists and native within nine large ecoregions. Species distribution models werAuthorsArthur R. Cooper, Yin-Phang Tsang, Dana M. Infante, Wesley M. Daniel, Alexa J. McKerrow, Daniel J. WieferichU.S. Geological Survey science for the Wyoming Landscape Conservation Initiative—2016 annual report
This is the ninth annual report highlighting U.S. Geological Survey (USGS) science and decision-support activities conducted for the Wyoming Landscape Conservation Initiative (WLCI). The activities address specific management needs identified by WLCI partner agencies. In fiscal year (FY) 2016, there were 26 active USGS WLCI science-based projects. Of these 26 projects, one project was new for FY20AuthorsZachary H. Bowen, Ellen Aikens, Cameron L. Aldridge, Patrick J. Anderson, Timothy J. Assal, Anna D. Chalfoun, Geneva W. Chong, Cheryl A. Eddy-Miller, Steven L. Garman, Steve Germaine, Collin G. Homer, Aaron Johnston, Matthew J. Kauffman, Daniel J. Manier, Cynthia P. Melcher, Kirk A. Miller, Annika W. Walters, Jerrod D. Wheeler, Daniel J. Wieferich, Anna B. Wilson, Teal B. Wyckoff, Linda ZeigenfussByEcosystems Mission Area, Water Resources Mission Area, Land Management Research Program, Science Analytics and Synthesis (SAS) Program, Species Management Research Program, Earth Resources Observation and Science (EROS) Center , Fort Collins Science Center, Geology, Geophysics, and Geochemistry Science Center, Northern Rocky Mountain Science Center, Wyoming-Montana Water Science CenterLandscape context and the biophysical response of rivers to dam removal in the United States
Dams have been a fundamental part of the U.S. national agenda over the past two hundred years. Recently, however, dam removal has emerged as a strategy for addressing aging, obsolete infrastructure and more than 1,100 dams have been removed since the 1970s. However, only 130 of these removals had any ecological or geomorphic assessments, and fewer than half of those included before- and after-remoAuthorsMelissa M. Foley, Francis J. Magilligan, Christian E. Torgersen, Jon J. Major, Chauncey W. Anderson, Patrick J. Connolly, Daniel J. Wieferich, Patrick B. Shafroth, James E. Evans, Dana M. Infante, Laura CraigByEcosystems Mission Area, Water Resources Mission Area, Science Analytics and Synthesis (SAS) Program, Science Synthesis, Analysis and Research Program, Forest and Rangeland Ecosystem Science Center, John Wesley Powell Center for Analysis and Synthesis, Oregon Water Science Center, Pacific Coastal and Marine Science CenterCommunity for Data Integration 2016 annual report
The Community for Data Integration (CDI) represents a dynamic community of practice focused on advancing science data and information management and integration capabilities across the U.S. Geological Survey and the CDI community. This annual report describes the various presentations, activities, and outcomes of the CDI monthly forums, working groups, virtual training series, and other CDI-sponsoAuthorsMadison L. Langseth, Leslie Hsu, Jon Amberg, Norman Bliss, Andrew R. Bock, Rachel T. Bolus, R. Sky Bristol, Katherine J. Chase, Theresa M. Crimmins, Paul S. Earle, Richard Erickson, A. Lance Everette, Jeff T. Falgout, John Faundeen, Michael N. Fienen, Rusty Griffin, Michelle R. Guy, Kevin D. Henry, Nancy J. Hoebelheinrich, Randall J. Hunt, Vivian B. Hutchison, Drew A. Ignizio, Dana M. Infante, Catherine Jarnevich, Jeanne M. Jones, Tim Kern, Scott Leibowitz, Francis L. Lightsom, R. Lee Marsh, S. Grace McCalla, Marcia McNiff, Jeffrey T. Morisette, John C. Nelson, Tamar Norkin, Todd M. Preston, Alyssa Rosemartin, Roy Sando, Jason T. Sherba, Richard P. Signell, Benjamin M. Sleeter, Eric T. Sundquist, Colin B. Talbert, Roland J. Viger, Jake F. Weltzin, Sharon Waltman, Marc Weber, Daniel J. Wieferich, Brad Williams, Lisamarie Windham-MyersInforming watershed connectivity barrier prioritization decisions: A synthesis
Water resources and transportation infrastructure such as dams and culverts provide countless socio-economic benefits; however, this infrastructure can also disconnect the movement of organisms, sediment, and water through river ecosystems. Trade-offs associated with these competing costs and benefits occur globally, with applications in barrier addition (e.g. dam and road construction), reengineeAuthorsS. K. McKay, A. R. Cooper, M.W. Diebel, D. Elkins, G. Oldford, C. Roghair, Daniel J. WieferichCommunity for Data Integration 2015 annual report
The Community for Data Integration (CDI) continued to experience success in fiscal year 2015. The CDI community members have been sharing, learning, and collaborating through monthly forums, workshops, working groups, and funded projects. In fiscal year 2015, CDI coordinated 10 monthly forums with 16 different speakers from the U.S. Geological Survey and external partners; funded 11 collaborativeAuthorsMadison L. Langseth, Michelle Y. Chang, Jennifer Carlino, J. Ryan Bellmore, Daniella D. Birch, Joshua Bradley, R. Sky Bristol, Daniel D. Buscombe, Jeffrey J. Duda, Anthony L. Everette, Tabitha A. Graves, Michelle M. Greenwood, David L. Govoni, Heather S. Henkel, Vivian B. Hutchison, Brenda K. Jones, Tim Kern, Jennifer Lacey, Rynn M. Lamb, Frances L. Lightsom, John L. Long, Ra'ad A. Saleh, Stan W. Smith, Christopher E. Soulard, Roland J. Viger, Jonathan A. Warrick, Katherine E. Wesenberg, Daniel J. Wieferich, Luke A. WinslowFishVis, A regional decision support tool for identifying vulnerabilities of riverine habitat and fishes to climate change in the Great Lakes Region
Climate change is expected to alter the distributions and community composition of stream fishes in the Great Lakes region in the 21st century, in part as a result of altered hydrological systems (stream temperature, streamflow, and habitat). Resource managers need information and tools to understand where fish species and stream habitats are expected to change under future conditions. Fish sampleAuthorsJana S. Stewart, S. Alex Covert, Nick J. Estes, Stephen M. Westenbroek, Damon Krueger, Daniel J. Wieferich, Michael T. Slattery, John D. Lyons, James E. McKenna, Dana M. Infante, Jennifer L. BruceThrough a fish's eye: The status of fish habitats in the United States 2015
This report updates and revises the 2010 “ Status of Fish Habitats in the United States” that summarized initial results of a comprehensive national assessment of aquatic habitats at an unprecedented scale and level of detail. This 2015 report provides even greater detail and improves our knowledge of the condition of fish habitat in the United States. The 2010 inland streams assessment characteriAuthorsSteve Crawford, Gary Whelan, Dana M. Infante, Kristan Blackhart, Wesley M. Daniel, Pam Fuller, Timothy W. Birdsong, Daniel J. Wieferich, Ricardo McClees-Funinan, Susan Stedman, Kyle Herreman, Peter M. Ruhl - Software
hydrolink - python package
The term hydrolink is being defined as the linkage of spatial data to a stream network. This is similar to the analogy of providing an address on a road network and provides locational context and position within a stream network. Hydrolinking data to a common stream network allows information to be centralized helping support landscape scale analyses and modeling efforts. Versions of the Nationalxstrm_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.Dam Removal Information Portal Dashboard Python Dash Software
The Dam Removal Information Portal (DRIP) contains information about the geographic locations of dam removals and any associated scientific studies evaluating outcomes to physical, biological, and water quality parameters. This application uses Python DASH to help distribute and visualize information from the Dam Removal Information Portal API (DRIP API).xstrm
Python package to assist with stream network summarization. This package is intended to support efforts for any stream network having general topology (i.e. to/from nodes). Specifically this package was built to support fisheries based analyses using multiple versions of the National Hydrography Database Plus (NHDPlus) representing streams within the United States along with HydroBasins which reprPubLink
Understanding how data are used across the scientific community provides many benefits to data authors, including building a better awareness and comprehension of 1) a dataset's scientific impact, 2) use cases to direct future versions, and 3) related efforts. Effectively tracking when and how data are used in the literature through time can be challenging. This is in part due to a lack of consis - News