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
Ten simple rules for creating a scientific web application Ten simple rules for creating a scientific web application
The use of scientific web applications (SWApps) across biological and environmental sciences has grown exponentially over the past decade or so. Although quantitative evidence for such increased use in practice is scant, collectively, we have observed that these tools become more commonplace in teaching, outreach, and in science coproduction (e.g., as decision support tools). Despite the...
Authors
Jessica Leigh Burnett, Renee Dale, Chung Yi Hou, Gabriela Palomo-Munoz, Kaitlin Stack-Whitney, Steven Aulenbach, R. Sky Bristol, Denis Valle, Tristan Wellman
Changes in liquefaction severity in the San Francisco Bay Area with sea-level rise Changes in liquefaction severity in the San Francisco Bay Area with sea-level rise
This paper studies the impacts of sea-level rise on liquefaction triggering and severity around the San Francisco Bay Area, California, for the M 7.0 “HayWired” earthquake scenario along the Hayward fault. This work emerged from stakeholder engagement for the US Geological Survey releases of the HayWired earthquake scenario and the Coastal Storm Modeling System projects, in which local...
Authors
Alex R. Grant, Anne Wein, Kevin M. Befus, Juliette Finzi-Hart, Mike Frame, Rachel Volentine, Patrick L. Barnard, Keith L. Knudsen
Capacity assessment for Earth Monitoring, Analysis, and Prediction (EarthMAP) and future integrated monitoring and predictive science at the U.S. Geological Survey Capacity assessment for Earth Monitoring, Analysis, and Prediction (EarthMAP) and future integrated monitoring and predictive science at the U.S. Geological Survey
Authors
Jennifer L. Keisman, Sky Bristol, David S. Brown, Allison K. Flickinger, Gregory L. Gunther, Peter S. Murdoch, MaryLynn Musgrove, John C. Nelson, Gregory D. Steyer, Kathryn A. Thomas, Ian R. Waite
By
Ecosystems Mission Area, Water Resources Mission Area, Science Synthesis, Analysis, and Research Program, Science Analytics and Synthesis (SAS), Energy Resources Program, Maryland-Delaware-D.C. Water Science Center, Geology, Energy & Minerals Science Center, Oklahoma-Texas Water Science Center, Oregon Water Science Center, Southwest Biological Science Center, Upper Midwest Environmental Sciences Center, Wetland and Aquatic Research Center
Establishing the foundation for the global observing system for marine life 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...
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 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...
Authors
Leslie A. DeSimone, Katherine Marie Ransom
Data services in ocean science with a focus on the biology 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...
Authors
Joana Beja, Leen Vandepitte, Abigail Benson, Anton Van de Putte, Dan Lear, Daphnis De Pooter, Gwenaelle Moncoiffe, 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 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...
Authors
Congcong Li, George Z. Xian, Qiang Zhou, Bruce Pengra
Data management and interactive visualizations for the evolving marine biodiversity observation network 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...
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 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...
Authors
Kenneth G. Boykin, William G. Kepner, Alexa McKerrow
Leveraging existing technology: Developing a trusted digital repository for the U.S. Geological Survey 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...
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 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...
Authors
Alexa McKerrow, Anne Davidson, Matthew J. Rubino, Don Faber-Langendoen, Daryn Dockter
Fully accounting for nest age reduces bias when quantifying nest survival 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...
Authors
Emily L. Weiser