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Publications

These publications showcase the significant science conducted in our Science Centers.

Filter Total Items: 16783

GPS data from 2019 and 2020 campaigns in the Chesapeake Bay region towards quantifying vertical land motions

The Chesapeake Bay is a region along the eastern coast of the United States where sea-level rise is confounded with poorly resolved rates of land subsidence, thus new constraints on vertical land motions (VLM) in the region are warranted. In this paper, we provide a description of two campaign-style Global Positioning System (GPS) datasets, explain the methods used in data collection and validatio
Authors
Gabrielle Troia, Sarah Stamps, R. Russell Lotspeich, James M. Duda, Kurt J. McCoy, William Moore, Philippe Hensel, Ryan Hippenstiel, Thomas McKenna, David C. Andreasen, Charles Geoghegan, Thomas P Ulizo, Madeline Kronebusch, Joel A. Carr, David Walters, Neil Winn

PHREEQ-N-AMDTreat+REYs water-quality modeling tools to evaluate acid mine drainage treatment strategies for recovery of rare-earth elements

The PHREEQ-N-AMDTreat+REYs water-quality modeling tools have the fundamental capability to simulate aqueous chemical reactions and predict the formation of metal-rich solids during the treatment of acid mine drainage (AMD). These new user-friendly, publicly available tools were expanded from the PHREEQ-N-AMDTreat tools to include the precipitation of rare-earth elements plus yttrium (REYs) and the
Authors
Charles A. Cravotta

Determination and prediction of rare earth element eeochemical associations in acid mine drainage treatment wastes

Acid mine drainage (AMD) has been proposed by various researchers as a novel source of rare earth elements (REE), a group of elements that include critical metals for clean energy and modern technologies. REE tend to be sequestered in the Fe-Al-Mn-rich solids produced during the treatment of AMD. These solids are typically managed as waste, but could be a low-cost, readily available REE source. He
Authors
B.C. Hedin, Charles A. Cravotta, M.Y. Stuckman, C.L. Lopano, R.C. Capo, R.S. Hedin

Effects of release techniques on parent-reared whooping cranes in the eastern migratory population

Reintroduction of an Eastern Migratory Population (EMP) of whooping cranes (Grus americana) in the United States by release of captive-reared individuals began in 2001. As of 2020, the EMP has approximately 21 breeding pairs and has had limited recruitment of wild-hatched individuals, thus captive-reared juveniles continue to be released into breeding areas in Wisconsin to maintain the population.
Authors
Hillary L. Thompson, M. Susanna Mann, Marianne Wellington, Kim H. Boardman, Glenn H. Olsen

Preliminary evidence of anticoagulant rodenticide exposure in American kestrels (Falco sparverius) in the western United States

Although there is extensive evidence of declines in the American Kestrel (Falco sparverius) population across North America, the cause of such declines remains a mystery. One hypothesized driver of decline is anticoagulant rodenticide (AR) exposure, which could potentially cause mortality or reduced fitness. We investigated AR exposure in wild American Kestrels in Utah, USA. We collected and teste
Authors
Evan R. Buechley, Dave Oleyar, Jesse Watson, Jennifer Bridgeman, Steven Volker, David A. Goldade, Catherine E. Swift, Barnett A. Rattner

Dynamic material flow analysis of tantalum in the United States from 2002 to 2020

Tantalum has received considerable attention due to risks associated with its supply chain. In 2020 ∼70% of global tantalum supply originated in Africa, with 40% produced in the Democratic Republic of Congo alone. The United States has relied entirely on imports since the 1950s. However, quantifying total domestic consumption is problematic because refined tantalum compounds do not have unique tar
Authors
Abraham J. Padilla, Nedal T. Nassar

A practical guide to understanding and validating complex models using data simulations

Biologists routinely fit novel and complex statistical models to push the limits of our understanding. Examples include, but are not limited to, flexible Bayesian approaches (e.g. BUGS, stan), frequentist and likelihood-based approaches (e.g. packages lme4) and machine learning methods.These software and programs afford the user greater control and flexibility in tailoring complex hierarchical mod
Authors
Graziella Vittoria Direnzo, Ephraim Hanks, David A. W. Miller

Collections management plan for the U.S. Geological Survey Woods Hole Coastal and Marine Science Center samples repository

Since 2002, the Woods Hole Coastal and Marine Science Center Samples Repository has been supporting U.S. Geological Survey research by providing secure storage for geological, geochemical, and biological samples, organizing and actively inventorying these sample collections, and providing researchers access to these scientific collections for study and reuse. Over the years, storage facilities ha
Authors
Brian J. Buczkowski

Habitat associations of riverine fishes among rocky shoals

Understanding species' associations with physical habitat conditions is a fundamental goal of ecology. For organisms that occupy lotic ecosystems, relationships to streamflow are of particular importance, but these associations are unstudied for most species. We tested the predictability of fish–microhabitat relationships in river shoals (shallow, rocky areas with relatively swift water flow) usin
Authors
Anna Y. Baynes, Mary Freeman, S. Kyle McKay, Seth J. Wenger

Estrogenic activity response to best management practice implementation in agricultural watersheds in the Chesapeake Bay watershed

Best management practices (BMPs) have been predominantly used throughout the Chesapeake Bay watershed (CBW) to reduce nutrients and sediments entering streams, rivers, and the bay. These practices have been successful in reducing loads entering the estuary and have shown the potential to reduce other contaminants (pesticides, hormonally active compounds, pathogens) in localized studies and modeled
Authors
Stephanie Gordon, Tyler Wagner, Kelly L. Smalling, Olivia H. Devereux

Deep learning for pockmark detection: Implications for quantitative seafloor characterization

Occurring globally, pockmarks are seafloor depressions associated with seabed fluid escape. Pockmark ubiquity and morphologic heterogeneity result in an irregular seafloor that can be difficult to quantitatively describe. To address this challenge, we test the hypothesis that deep-learning based object detection and segmentation can be used to develop data-driven models for pockmark identification
Authors
Mark Lundine, Laura L. Brothers, Arthur Trembanis

Integrating Bayesian networks to forecast sea-level rise impacts on barrier island characteristics and habitat availability

Evaluation of sea-level rise (SLR) impacts on coastal landforms and habitats is a persistent need for informing coastal planning and management, including policy decisions, particularly those that balance human interests and habitat protection throughout the coastal zone. Bayesian networks (BNs) are used to model barrier island change under different SLR scenarios that are relevant to management a
Authors
Benjamin T. Gutierrez, Sara Zeigler, Erika Lentz, Emily J. Sturdivant, Nathaniel Plant