Publications
Collection of Publications provided or contributed by SSAR programs. Selecting an item you'll find additional information and program point of contacts.
Filter Total Items: 266
Refining the coarse filter approach: Using habitat-based species models to identify rarity and vulnerabilities in the protection of U.S. biodiversity Refining the coarse filter approach: Using habitat-based species models to identify rarity and vulnerabilities in the protection of U.S. biodiversity
Preserving biodiversity and its many components is a priority of conservation science and how to efficiently allocate resources to preserve healthy populations of as many species, habitats, and ecosystems as possible. We used the U.S. Geological Survey (USGS) Gap Analysis Project (GAP) species models released in 2018, which identify predicted habitats for terrestrial vertebrates in the
Authors
Anne Davidson, Leah Dunn, Kevin Gergely, Alexa McKerrow, Steven G. Williams, Mackenzie Case
Community for Data Integration 2019 annual report Community for Data Integration 2019 annual report
The Community for Data Integration is a community of practice whose purpose is to advance the U.S. Geological Survey’s data integration capabilities. In fiscal year 2019, the Community for Data Integration held 9 monthly forums, facilitated 11 collaboration areas, held several workshops and training events, and funded 14 projects. The activities supported the U.S. Geological Survey...
Authors
Leslie Hsu, Amanda N. Liford
U.S. Geological Survey wildland fire science strategic plan, 2021–26 U.S. Geological Survey wildland fire science strategic plan, 2021–26
The U.S. Geological Survey (USGS) Wildland Fire Science Strategic Plan defines critical, core fire science capabilities for understanding fire-related and fire-responsive earth system processes and patterns, and informing management decision making. Developed by USGS fire scientists and executive leadership, and informed by conversations with external stakeholders, the Strategic Plan is...
Authors
Paul F. Steblein, Rachel A. Loehman, Mark P. Miller, Joseph R. Holomuzki, Suzanna C. Soileau, Matthew L. Brooks, Mia Drane-Maury, Hannah M. Hamilton, Jason W. Kean, Jon E. Keeley, Mason, Alexa McKerrow, James R. Meldrum, Edmund B. Molder, Sheila F. Murphy, Birgit Peterson, Geoffrey S. Plumlee, Douglas J. Shinneman, Phillip J. van Mantgem, Alison York
By
Ecosystems Mission Area, Natural Hazards Mission Area, Science Synthesis, Analysis, and Research Program, Science Analytics and Synthesis (SAS), Alaska Science Center, Earth Resources Observation and Science (EROS) Center, Forest and Rangeland Ecosystem Science Center, Fort Collins Science Center, Geologic Hazards Science Center, Geology, Geophysics, and Geochemistry Science Center, Western Ecological Research Center (WERC), Wildland Fire Science
U.S. Geological Survey Community for Data Integration 2019 Workshop Proceedings—From big data to smart data U.S. Geological Survey Community for Data Integration 2019 Workshop Proceedings—From big data to smart data
The U.S. Geological Survey (USGS) Community for Data Integration (CDI) Workshop was held during June 3–7, 2019, at Center Green in Boulder, Colo. The theme of the workshop was “From Big Data to Smart Data” with the purpose of bringing together the community to discuss current topics, shared challenges, and steps forward to advance twenty-first century science at the USGS. The workshop...
Authors
Leslie Hsu
New operational national satellite burned area product New operational national satellite burned area product
Introduction Lack of consistent spatial and temporal fire information with relevant spatial resolution hinders land management and broad-scale assessments of fire activity, especially in the eastern United States and the Great Plains where fi re is important ecologically and culturally. Remote sensing can be used to monitor fi re activity, augment existing fi re data, and fill...
Authors
Todd Hawbaker, Melanie K. Vanderhoof, Gail L. Schmidt, Yen-Ju G. Beal, Joshua J. Picotte, Joshua Takacs, Jeff T. Falgout, John L. Dwyer
John Wesley Powell Center for Analysis and Synthesis Newsletter, Volume 6, Issue 1 John Wesley Powell Center for Analysis and Synthesis Newsletter, Volume 6, Issue 1
No abstract available.
Authors
Marcia McNiff
USGS enterprise tools for efficient and effective management of science data USGS enterprise tools for efficient and effective management of science data
The Science Data Management Branch (SDM) of the U.S. Geological Survey (USGS) provides data management expertise and leadership and develops guidance and tools to support the USGS in providing the nation with reliable scientific information on the basis of which to describe the Earth. The SDM suite of tools supports the USGS Data Management Lifecycle by facilitating quality assurance...
Authors
Vivian B. Hutchison, Amanda Liford, Ricardo McClees-Funinan, Lisa Zolly, Drew Ignizio, Madison Langseth, Brandon Serna, Elizabeth Sellers, Leslie Hsu, Tamar Norkin, Marcia McNiff, Grace C. Donovan
Using boosted regression tree models to predict salinity in Mississippi embayment aquifers, central United States Using boosted regression tree models to predict salinity in Mississippi embayment aquifers, central United States
High salinity limits groundwater use in parts of the Mississippi embayment. Machine learning was used to create spatially continuous and three‐dimensional predictions of salinity across drinking‐water aquifers in the embayment. Boosted regression tree (BRT) models, a type of machine learning, were used to predict specific conductance (SC) and chloride (Cl), and total dissolved solids...
Authors
Katherine J. Knierim, James A. Kingsbury, Connor J. Haugh, Katherine Marie Ransom
Ecological forecasting—21st century science for 21st century management Ecological forecasting—21st century science for 21st century management
Natural resource managers are coping with rapid changes in both environmental conditions and ecosystems. Enabled by recent advances in data collection and assimilation, short-term ecological forecasting may be a powerful tool to help resource managers anticipate impending near-term changes in ecosystem conditions or dynamics. Managers may use the information in forecasts to minimize the...
Authors
John B. Bradford, Jake Weltzin, Molly L. McCormick, Jill Baron, Zack Bowen, Sky Bristol, Daren M. Carlisle, Theresa Crimmins, Paul C. Cross, Joe DeVivo, Mike Dietze, Mary Freeman, Jason Goldberg, Mevin Hooten, Leslie Hsu, Karen Jenni, Jennifer L. Keisman, Jonathan G. Kennen, Kathy Lee, David P. Lesmes, Keith A. Loftin, Brian W. Miller, Peter S. Murdoch, Jana Newman, Karen L. Prentice, Imtiaz Rangwala, Jordan Read, Jennifer Sieracki, Helen Sofaer, Steve Thur, Gordon Toevs, Francisco Werner, C. LeAnn White, Timothy White, Mark T. Wiltermuth
By
Ecosystems Mission Area, Water Resources Mission Area, Science Synthesis, Analysis, and Research Program, Contaminant Biology, Environmental Health Program, Science Analytics and Synthesis (SAS), Central Plains Water Science Center, Eastern Ecological Science Center, Fort Collins Science Center, Maryland-Delaware-D.C. Water Science Center, National Wildlife Health Center, New Jersey Water Science Center, Pacific Island Ecosystems Research Center, Southwest Biological Science Center, Upper Midwest Environmental Sciences Center, Upper Midwest Water Science Center
Community for data integration 2018 funded project report Community 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.
Authors
Leslie 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 A. Warrick, Jake Weltzin, Daniel J. Wieferich, Nathan J. Wood
Progress toward a preliminary karst depression density map for the conterminous United States Progress toward a preliminary karst depression density map for the conterminous United States
Most methods for the assessment of sinkhole hazard susceptibility are predicated upon knowledge of pre-existing closed depressions in karst areas. In the United States (U.S.), inventories of existing karst depressions are piecemeal, and are often obtained through inconsistent methodologies applied at the state or county level and at various scales. Here, we present a first attempt at...
Authors
Daniel H. Doctor, Jeanne M. Jones, Nathan J. Wood, Jeff T. Falgout, Natalya Igorevna Rapstine
The Landsat Burned Area algorithm and products for the conterminous United States The Landsat Burned Area algorithm and products for the conterminous United States
Complete and accurate burned area map data are needed to document spatial and temporal patterns of fires, to quantify their drivers, and to assess the impacts on human and natural systems. In this study, we developed the Landsat Burned Area (BA) algorithm, an update from the Landsat Burned Area Essential Climate Variable (BAECV) algorithm. Here, we present the BA algorithm and products...
Authors
Todd Hawbaker, Melanie K. Vanderhoof, Gail L. Schmidt, Yen-Ju G. Beal, Joshua J. Picotte, Joshua Takacs, Jeff T. Falgout, John L. Dwyer