Publications
These publications showcase the significant science conducted in our Science Centers.
Filter Total Items: 16783
Evaluating streamwater dissolved organic carbon dynamics in context of variable flowpath contributions with a tracer-based mixing model
This study focuses on characterizing the contributions of key terrestrial pathways that deliver dissolved organic carbon (DOC) to streams during hydrological events and on elucidating factors governing variation in water and DOC fluxes from these pathways. We made high-frequency measurements of discharge, specific conductance (SC), and fluorescent dissolved organic matter (FDOM) during 221 events
Authors
James E. Saiers, Jennifer Burlingame Hoyle Fair, James B. Shanley, J.D. Hosen, Serena Matt, Kevin A Ryan, P.A. Raymond
Revisiting the declustering of spatial data with preferential sampling
Preferential sampling is a form of data collection that may significantly distort the histogram and the semivariogram of spatially correlated data. Typical situations are a higher sampling density at high-valued areas favorable for mining, and highly contaminated areas in need of environmental remediation. Multiple statistical procedures are devoted to obtaining representative statistics, whose ma
Authors
Ricardo A. Olea
Elevated levels of radiocarbon in methane dissolved in seawater reveal likely local contamination from nuclear powered vessels
Measurements of the natural radiocarbon content of methane (14C-CH4) dissolved in seawater and freshwater have been used to investigate sources and dynamics of methane. However, during investigations along the Atlantic, Pacific, and Arctic Ocean Margins of the United States, as well as in the North American Great Lakes, some samples revealed highly elevated 14C-CH4 values, as much as 4–5 times abo
Authors
D.J. Joung, Carolyn D. Ruppel, J. Southon, John D. Kessler
A comparison of methods for the long-term harness-based attachment of radio-transmitters to juvenile Japanese quail (Coturnix japonica)
BackgroundWhile the period from fledging through first breeding for waterbird species such as terns (e.g., genus Sterna, Sternula) is of great interest to researchers and conservationists, this period remains understudied due in large part to the difficulty of marking growing juveniles with radio transmitters that remain attached for extended periods.MethodsIn an effort to facilitate such research
Authors
Evan J Buck, Jeffery D. Sullivan, Cody M. Kent, Jennifer M. Mullinax, Diann Prosser
Development of a screening tool to examine lake and reservoir susceptibility to eutrophication in selected watersheds of the eastern and southeastern United States
This report describes a new screening tool to examine lake and reservoir susceptibility to eutrophication in selected watersheds of the eastern and southeastern United States using estimated nutrient loading and flushing rates with measures of waterbody morphometry. To that end, the report documents the compiled data and methods (R-script) used to categorize waterbodies by Carlson’s Trophic State
Authors
W. Reed Green, Anne B. Hoos, Alan E. Wilson, Elizabeth N. Heal
Evaluation of SWIR crop residue bands for the Landsat Next mission
This research reports the findings of a Landsat Next expert review panel that evaluated the use of narrow shortwave infrared (SWIR) reflectance bands to measure ligno-cellulose absorption features centered near 2100 and 2300 nm, with the objective of measuring and mapping non-photosynthetic vegetation (NPV), crop residue cover, and the adoption of conservation tillage practices within agricultural
Authors
W. Dean Hively, Brian T. Lamb, Craig S.T. Daughtry, Guy Serbin, Phillip Dennison, Raymond F. Kokaly, Zhuoting Wu, Jeffrey G. Masek
Honey bee foraged pollen reveals temporal changes in pollen protein content and changes in forager choice for abundant versus high protein flowers
Protein derived from pollen is an essential component of healthy bee diets. Protein content in honey bee foraged-pollen varies temporally and spatially, but the drivers underlying this variation remain poorly characterized. We assessed the temporal and spatial variation in honey bee collected pollen in 12 Michigan apiaries over 3 summers (2015–2017). We simultaneously monitored forage in flowering
Authors
Gabriela Quinlan, Megan Milbrath, Clint R.V. Otto, Autumn Smart, Deborah Iwanowicz, Rufus Isaacs, Robert S. Cornman
Woods Hole Coastal and Marine Science Center—2020 annual report
The 2020 annual report of the U.S. Geological Survey Woods Hole Coastal and Marine Science Center highlights accomplishments of 2020, includes a list of 2020 publications, and summarizes the work of the center, as well as the work of each of its science groups. This product allows readers to gain a general understanding of the focus areas of the center’s scientific research and learn more about sp
Authors
Sara Ernst
Isolating detrital and diagenetic signals in magnetic susceptibility records from methane-bearing marine sediments
Volume-dependent magnetic susceptibility (κ) is commonly used for paleoenvironmental reconstructions in both terrestrial and marine sedimentary environments where it reflects a mixed signal between primary deposition and secondary diagenesis. In the marine environment, κ is strongly influenced by the abundance of ferrimagnetic minerals regulated by sediment transport processes. Post-depositional a
Authors
Joel P. L. Johnson, Stephen C. Phillips, William Clyde, Liviu Giosan, Marta E. Torres
Forecasting drought probabilities for streams in the northeastern United States
Maximum likelihood logistic regression (MLLR) models for the northeastern United States forecast drought probability estimates for water flowing in rivers and streams using methods previously identified and developed. Streamflow data from winter months are used to estimate chances of hydrological drought during summer months. Daily streamflow data collected from 1,143 streamgages from April 1, 187
Authors
Samuel H. Austin
Labeling poststorm coastal imagery for machine learning: Measurement of interrater agreement
Classifying images using supervised machine learning (ML) relies on labeled training data—classes or text descriptions, for example, associated with each image. Data-driven models are only as good as the data used for training, and this points to the importance of high-quality labeled data for developing a ML model that has predictive skill. Labeling data is typically a time-consuming, manual proc
Authors
Evan B. Goldstein, Daniel D. Buscombe, Eli D. Lazarus, Somya Mohanty, Shah N. Rafique, K A Anarde, Andrew D Ashton, Tomas Beuzen, Katherine A. Castagno, Nicholas Cohn, Matthew P. Conlin, Ashley Ellenson, Megan Gillen, Paige A. Hovenga, Jin-Si R. Over, Rose V. Palermo, Katherine Ratlif, Ian R Reeves, Lily H. Sanborn, Jessamin A. Straub, Luke A. Taylor, Elizabeth J. Wallace, Jonathan Warrick, Phillipe Alan Wernette, Hannah E Williams
By
Identifying climate-resistant vernal pools: Hydrologic refugia for amphibian reproduction under droughts and climate change
Vernal pools of the northeastern United States provide important breeding habitat for amphibians but may be sensitive to droughts and climate change. These seasonal wetlands typically fill by early spring and dry by mid-to-late summer. Because climate change may produce earlier and stronger growing-season evapotranspiration combined with increasing droughts and shifts in precipitation timing, mana
Authors
Jennifer M. Cartwright, Toni Lyn Morelli, Evan H. Campbell Grant