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Browse more than 65,000 articles authored by our scientists over the past 100+ year history of the USGS and refine search by topic, location, year, and advanced search.
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The global proliferation of aquatic, benthic Microcoleus: Taxonomy, distribution, toxin production, ecology, and future directions The global proliferation of aquatic, benthic Microcoleus: Taxonomy, distribution, toxin production, ecology, and future directions
There have been sporadic reports of aquatic, benthic Microcoleus proliferations in freshwater rivers, lakes, and reservoirs for four decades, with reports increasing in frequency over the last twenty years, suggesting a possible rise in their global distribution, frequency, and intensity. Microcoleus can produce anatoxins which are neurotoxic, and ingestion of toxic mats has caused...
Authors
Laura T. Kelly, Daniel G Beach, Joanna R. Blaszczak, Keith Bouma-Gregson, Sydney M. Brown, Haowu Cheng, Janette L. Davidson, Jutta Fastner, Marcus Francis, Andrea Garcia Jimenez, Laurel Genzoli, Ramesh Goel, Diego Gonzalez, Kim M. Handley, Sabine Hilt, Jean-Francois Humbert, Rob Jamieson, Lindsay Johnston, Pilar Junier, Janice Lawrence, Pearse McCarron, Sven Meissner, Jacob Mormando, Jonathan Puddick, Catherine Quiblier, Nagasaijanani Rajpirathap, Charlotte Schampera, Andy Selwood, Karen Shearer, Abeer Sohrab, Rosalina Stancheva, Cecilio Valadez-Cano, Jordan M. Zebrecky, Susanna A. Wood
The mineral chemistry networks of tin and tungsten reflect metallogenic eras of the Mesozoic The mineral chemistry networks of tin and tungsten reflect metallogenic eras of the Mesozoic
Continental remobilization is a crucial driver of metallogenesis and the formation of ore deposits. Some of the world’s largest mineral deposits of the economically valuable elements tin (Sn), tungsten (W), gold (Au), copper (Cu), lead (Pb), and zinc (Zn) formed during the Mesozoic Era. Additionally, the chemistry and distribution of the elements Sn and W have been investigated in...
Authors
Elisha Kelly Moore, Shaunna M. Morrison, Amber Hatter
Predicted range shifts of non‐native grasses in response to climate change are influenced by photosynthetic pathway: A case study in the Hawaiian Islands Predicted range shifts of non‐native grasses in response to climate change are influenced by photosynthetic pathway: A case study in the Hawaiian Islands
Aim Grasses comprise three main photosynthetic pathway variants (C3-BOP, C3-PACMAD and C4-PACMAD hereafter referred to as C4). We sought to confirm climate niche differences among these photosynthetic pathway variants and assessed whether predicted non-native grass range shift patterns with climate change differ among photosynthetic pathway variants.Location Hawaiian Islands.Methods We...
Authors
Curtis Daehler, Kevin Faccenda, Elizabeth Aquino Peterson, Kelsey C. Brock, Lucas B. Fortini
Morphometric properties of the CP-21 landing site on the Moon at Mons Gruithuisen Gamma Morphometric properties of the CP-21 landing site on the Moon at Mons Gruithuisen Gamma
Characterizing terrain surface properties is an essential step in assessing the feasibility of landing successfully at a location on a planetary surface. Slopes and terrain ruggedness index (TRI) values derived from high-resolution (2 m pixel−1) digital terrain models provided important constraints in selecting the landing site for the upcoming Payloads and Research Investigations on the...
Authors
Jean-Pierre Williams, Sarah Valencia, Kristen A. Bennett, Margaret E. Landis, Kerri L. Donaldson Hanna, Addison T. Dove, Patrick O'Brien, Brett W. Denevi, Justin Hagerty, Craig Hardgrove, Paul O. Hayne, Adam LaMee, Thomas H. Prettyman, Katherine A. Shirley, Matthew A. Siegler, Jessica M. Sunshine
The Sedimentary Geochemistry and Paleoenvironments Project Phase 2 data release: An open data resource for the study of Earth's environmental history The Sedimentary Geochemistry and Paleoenvironments Project Phase 2 data release: An open data resource for the study of Earth's environmental history
Geochemical data from sedimentary rocks are the primary source of information regarding Earth's surface evolution through time, including its air and water envelopes and interactions with life and deep Earth processes. The Sedimentary Geochemistry and Paleoenvironments Project (SGP) is a scientific consortium centered around open data and community-driven development of...
Authors
Una Farrell, Hunter Olson, Maya Thompson, Michelle L. Abshire, Oyeleye Adeboye, Anne-Sofie Ahm, Lewis Alcott, Thomas Algeo, Ross Anderson, Arif Ansari, Lucas Bastos, Kohen Bauer, Brian Beaty, Justin E. Birdwell, Fred Bowyer, Jochen J. Brocks, Tessa Brunoir, James F. Busch, Donald Canfield, Fabrício Caxito, Chao-Chin Chang, Meng Cheng, Jean Clemente, David Cordie, Peter W. Crockford, Huan Cui, Celeste Cunningham, Tais Dahl, Janaina Rodrigues de Paula, Carol Dehler, Lucas Del Mouro, Keith Dewing, Dermeval Aparecido do Carmo, Stephen Dornbos, Nadja Drabon, Julie A. Dumoulin, Omabehere Ejeh, Emily Ellefson, Maya Elrick, Joseph Emmings, Bokanda Eric, Hao Fang, Gabriella Fazio, Henrique Fernandes, Katherine L. French, Robert R. Gaines, Richard Gaschnig, Timothy M. Gibson, Geoffrey J. Gilleaudeau, Karin Goldberg, Zheng Gong, Amy Hagen, Galen P. Halverson, Kalev G. Hantsoo, Emma R. Haxen, Miles A. Henderson, João-Pedro Hippertt, Malcolm S. W. Hodgskiss, Paul Hoffman, Edward Huang, Benjamin Johnson, Pavel B. Kabanov, Junyao Kang, C. Brenhin Keller, Brian Kendall, Julien Kimmig, Sara Kimmig, Michael A. Kipp, Andrew H. Knoll, Timmu Kreitsmann, Anurag Kulkarni, Alexandra Kunert, Marcus Kunzmann, Jiankang Lai, Richard O. Lease, Chao Li, Sen Li, Alex Lipp, Yang Liu, David Loydell, Xinze Lu, Katie Maloney, Kaarel Mänd, Alexie E. G. Millikin, N. Tanner Mills, Kento Motomura, Chiza N. Mwinde, Lyle Nelson, Nora M. Nieminski, Brennan O'Connell, Edel Mary O'Sullivan, Juliana Okubo, Jaden Olah, Frantz Ossa Ossa, Chadlin Ostrander, Kärt Paiste, Camille A. Partin, Egberto Pereira, Shanan Peters, Tiffany L. Playter, Susannah M. Porter, Simon W. Poulton, Sara B. Pruss, Zhen Qiu, Daven Quinn, Mariano Remirez, Sebastian Richiano, Sylvain Richoz, Kathryn Rico, Samantha R. Ritzer, Zachary Roney, Alan D. Rooney, William C. Rose, Elias Rugen, Swapan K. Sahoo, Shane D. Schoepfer, Judith A. Sclafani, Nathan D. Sheldon, Yanan Shen, Graham Shields, Pulkit Singh, Arvind Singh, Sarah P. Slotznick, Emily Smith, Haijun Song, Sam Spinks, Richard G. Stockey, Justin Strauss, Eva Stüeken, Zongyuan Sun, Dongjie Tang, Lidya Tarhan, Danielle Thomson, Nicholas Tosca, Rosalie Tostevin, Chenyi Tu, Maoli Vizcaíno, Yuxuan Wang, Changle Wang, Xiaomei Wang, Lucas Warren, Lucy Webb, Philip R. Wilby, Christina R. Woltz, Rachel Wood, Yuyang Wu, Xiuqing Yang, Inessa A. Yurchenko, Junpeng Zhang, Jessica Whiteside, Benjamin C. Gill, Akshay Mehra, Kimberly V. Lau, Noah J. Planavsky, David T. Johnston, Erik A Sperling
Two-stage approach to automatic detection with machine learning for improved surveillance of the invasive Cuban treefrog Two-stage approach to automatic detection with machine learning for improved surveillance of the invasive Cuban treefrog
The Cuban treefrog (Osteopilus septentrionalis), as an invasive species in the southern United States, presents a need for effective surveillance. Automated detection expedites processing of audio data for large-scale surveillance and monitoring programs. However, current available methods commonly used for anuran species have not been sufficient to detect Cuban treefrogs. Here, we...
Authors
Kaitlin Huber, J. Hardin Waddle, Brad M. Glorioso, Therese M. Donovan
Detecting bumble bees in the wild using environmental DNA: Development and validation of a qPCR assay for the endangered Franklin’s bumble bee (Bombus franklini) Detecting bumble bees in the wild using environmental DNA: Development and validation of a qPCR assay for the endangered Franklin’s bumble bee (Bombus franklini)
Environmental DNA (eDNA) sampling is a noninvasive alternative to conventional methods of surveying insects that may be particularly useful for detecting pollinators. We developed a quantitative polymerase chain reaction (qPCR) assay to detect the DNA of Franklin’s bumble bee (Bombus franklini) from flower samples and conducted an initial test of the assay using samples collected within...
Authors
Michaela Ray Grossklaus, David S. Pilliod, Stephen Frank Spear, Matthew B B. Laramie, Akhil Kholwadwala, Amanda Jean Boone, Yer Lor, Marissa Kaminski, Jeffrey G. Everett
Initial condition uncertainty exerts a large and persistent influence on model simulations of ecosystem carbon dynamics in California Initial condition uncertainty exerts a large and persistent influence on model simulations of ecosystem carbon dynamics in California
Uncertainties in terrestrial ecosystem models limit their predictive power. Efforts to reduce projection error have rarely focused on constraining uncertainty in the initial state of the ecosystem, however, despite evidence that matching model initial conditions to real-world observations reduces overall model bias. Here we use an integrated land change and carbon gain-loss model to...
Authors
Paul C. Selmants, Benjamin M. Sleeter, Colin J. Daniel
Channel morphology and large wood control postfire debris-flow erosion and deposition Channel morphology and large wood control postfire debris-flow erosion and deposition
Runoff-generated debris flows are a known response to wildfire, and accurately predicting the volume of these debris flows is important for estimating the magnitude of downstream hazards. Prior data collection efforts have focused on debris-flow volume measurements at catchment outlets, but few studies have considered how erosion and deposition modulate the volume of sediment arriving at...
Authors
Francis K. Rengers, Jason M. Stoker, Jaime Kostelnik, Jason W. Kean, Ellen E. Wohl, Katherine R. Barnhart, Lauren Elizabeth Guido
The Climate Hazards Center Infrared Precipitation with Stations, version 3 The Climate Hazards Center Infrared Precipitation with Stations, version 3
The Climate Hazards Center Infrared Precipitation with Stations (CHIRPS) data stream combines: (1) a high-resolution climatology, (2) thermal infrared (TIR) geostationary satellite observations, and (3) station observations. In the past, CHIRPS version 2 (CHIRPS2) has proven to be valuable for drought monitoring, hydrologic modeling, scientific studies and agricultural decision making...
Authors
Chris Funk, Pete Peterson, Laura Harrison, Robert Saldivar, Martin Landsfeld, Diego Pedreros, Shraddhanand Shukla, Andreas H. Fink, Frank Davenport, Seth H. Peterson, William Turner, Austin Sonnier, Michael Budde, Karyn Tabor, James Verdin, Disha Hauzaree, Mohamed Naim, Daniella Alaso, Gregory Husak
The WOAH global wildlife health collaborating centre network (WOAH-WildNet): A coordinated and transformative approach to global wildlife health challenges The WOAH global wildlife health collaborating centre network (WOAH-WildNet): A coordinated and transformative approach to global wildlife health challenges
Wildlife health is integral to functioning, complex ecosystems [1], directly and indirectly influencing the health of people, animals, plants, and the environment [2–4]. Healthy wildlife populations are essential for ecosystem services and are at the heart of the One Health approach [3,4], which aims to sustainably balance and optimize the health of people, animals, and ecosystems...
Authors
David T.S. Hayman, Steve Unwin, Kelly Bateman, Casey Barton Behravesh, Charlotte Berg, Jemma Bergfeld, Cristina Casalone, Claire Cayol, Erin Davis, Sunday Ekesi, Johan Esterhuizen, Merid Getahun, Federica Giorda, Keith Hamilton, Damien O. Joly, Christa Kuhn, Jean-Claude Manuguerra, Daniel Masig, Anita Michel, Paolo Mulatti, Misheck Mulumba, Annah Njui, Richard Paley, Antonio Fernandez, Sascha Knauf, David Poumo Tchouassi, Youming Wang, Nathalie Vachiery, Jandouwe Villinger, Frank Y.K. Wong, Gongxun Zhong, B. Dharmaveer Shetty
Incorporating data sets with multiple sources of uncertainty in integrated species distribution models Incorporating data sets with multiple sources of uncertainty in integrated species distribution models
Data integration methods aim to improve species distribution estimates by incorporating multiple sources of uncertainty across datasets. Two major sources of uncertainty are: (1) variation in sampling effort across space and within datasets, and (2) variation in reliability associated with data collection protocols or timing among datasets. Our goal was to evaluate how different...
Authors
Fiona Lunt, C. Lane Scher, Riley Olivia Mummah, David A.W. Miller