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: 250
Establishing the foundation for the global observing system for marine life
Maintaining healthy, productive ecosystems in the face of pervasive and accelerating human impacts including climate change requires globally coordinated and sustained observations of marine biodiversity. Global coordination is predicated on an understanding of the scope and capacity of existing monitoring programs, and the extent to which they use standardized, interoperable practices for data ma
Authors
Erin V. Satterthwaite, Nicholas J. Bax, Patricia Miloslavich, Lavenia Ratnarajah, Gabrielle Canonico, Daniel Dunn, Samantha E. Simmons, Roxanne J. Carini, Karen Evans, Valerie Allain, Ward Appeltans, Sonia Batten, Lisandro Benedetti-Cecchi, Anthony T. F. Bernard, R. Sky Bristol, Abigail Benson, Pier Luigi Buttigieg, Leopoldo Cavaleri Gerhardinger, Sanae Chiba, Tammy E. Davies, J. Emmett Duffy, Alfredo Giron-Nava, Astrid J. Hsu, Alexandra C. Kraberg, Raphael M. Kudela, Dan Lear, Enrique Montes, Frank Muller-Karger, Todd D. O'Brien, David Obura, Pieter Provoost, Sara Pruckner, Lisa-Maria Rebelo, Elizabeth R. Selig, Olav Sigurd Kjesbu, Craig Starger, Rick D. Stuart-Smith, Marjo Vierros, John S. Waller, Lauren V. Weatherdon, Tristan Wellman, Anna Zivian
Manganese in the Northern Atlantic Coastal Plain aquifer system, eastern USA—Modeling regional occurrence with pH, redox, and machine learning
Study region: The study was conducted in the Northern Atlantic Coastal Plain aquifer system, eastern USA, an important water supply in a densely populated region.Study focus: Manganese (Mn), an emerging health concern and common nuisance contaminant in drinking water, is mapped and modeled using the XGBoost machine learning method, predictions of pH and redox conditions from previous models, and o
Authors
Leslie A. DeSimone, Katherine Marie Ransom
Data services in ocean science with a focus on the biology
Biological ocean science has a long history; it goes back millennia, whereas the related data services have emerged in the recent digital era of the past decades. To understand where we come from—and why data services are so important—we will start by taking you back to the rise in the study of marine biology—marine biodiversity—and its key players, before immersing ourselves in the data life cycl
Authors
Joana Beja, Leen Vandepitte, Abigail Benson, Anton Van de Putte, Dan Lear, Daphnis De Pooter, Gwenaëlle Moncoiffé, John Nicholls, Nina Wambiji, Patricia Miloslavich, Vasilis Gerovasileiou
A novel automatic phenology learning (APL) method of training sample selection using multiple datasets for time-series land cover mapping
The long record of Landsat imagery, which is the cornerstone of Earth observation, provides an opportunity to monitor land use and land cover (LULC) change and understand the interactions between the climate and earth system through time. A few change detection algorithms such as Continuous Change Detection and Classification (CCDC) have been developed to utilize all available Landsat images for c
Authors
Congcong Li, George Z. Xian, Qiang Zhou, Bruce Pengra
Data management and interactive visualizations for the evolving marine biodiversity observation network
Assessing the current state of and predicting change in the ocean’s biological and ecosystem resources requires observations and research to safeguard these valuable public assets. The Marine Biodiversity Observation Network (MBON) partnered with the Global Ocean Observing System Biology and Ecosystems Panel and the Ocean Biodiversity Information System to address these needs through collaboration
Authors
Abigail Benson, Tylar Murray, Gabrielle Canonico, Enrique Montes, Frank Muller-Karger, Maria T. Kavanaugh, Joaquin Trinanes, Lynn M. deWitt
Applying biodiversity metrics as surrogates to a habitat conservation plan
Unabated urbanization has led to environmental degradation and subsequent biodiversity loss across the globe. As an outcome of unmitigated land use, multi-jurisdictional agencies have developed land use plans that attempt to protect threatened or endangered species across selected areas by which some trade-offs between harm to species and additional conservation approaches are allowed among the pa
Authors
Kenneth G. Boykin, William G. Kepner, Alexa McKerrow
Leveraging existing technology: Developing a trusted digital repository for the U.S. Geological Survey
As Federal Government agencies in the United States pivot to increase access to scientific data (Sheehan, 2016), the U.S. Geological Survey (USGS) has made substantial progress (Kriesberg et al., 2017). USGS authors are required to make federally funded data publicly available in an approved data repository (USGS, 2016b). This type of public data product, known as a USGS data release, serves as a
Authors
Vivian B. Hutchison, Tamar Norkin, Madison Langseth, Drew Ignizio, Lisa Zolly, Ricardo McClees-Funinan, Amanda N. Liford
Quantifying the representation of plant communities in the protected areas of the U.S.: An analysis based on the U.S. National Vegetation Classification Groups
Plant communities represent the integration of ecological and biological processes and they serve as an important component for the protection of biological diversity. To measure progress towards protection of ecosystems in the United States for various stated conservation targets we need datasets at the appropriate thematic, spatial, and temporal resolution. The recent release of the LANDFIRE Exi
Authors
Alexa McKerrow, Anne Davidson, Matthew J. Rubino, Don Faber-Langendoen, Daryn (Contractor) Dockter
Fully accounting for nest age reduces bias when quantifying nest survival
Accurately measuring nest survival is challenging because nests must be discovered to be monitored, but nests are typically not found on the first day of the nesting interval. Studies of nest survival therefore often monitor a sample that overrepresents older nests. To account for this sampling bias, a daily survival rate (DSR) is estimated and then used to calculate nest survival to the end of th
Authors
Emily L. Weiser
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 conterminou
Authors
Anne Davidson, Leah Dunn, Kevin Gergely, Alexa McKerrow, Steven G. Williams, Mackenzie Case
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 priorities of e
Authors
Leslie Hsu, Amanda N. Liford
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 aligned wi
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, Robert R. Mason,, Alexa McKerrow, James 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) Program, 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