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The USGS provides unbiased, objective, and impartial scientific information upon which our audiences, including resource managers, planners, and other entities, rely.
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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Minimal shift of eastern wild turkey nesting phenology associated with projected climate change Minimal shift of eastern wild turkey nesting phenology associated with projected climate change
Climate change may induce mismatches between wildlife reproductive phenology and temporal occurrence of resources necessary for reproductive success. Verifying and elucidating the causal mechanisms behind potential mismatches requires large-scale, longer-duration data. We used eastern wild turkey (Meleagris gallopavo silvestris) nesting data collected across the southeastern U.S. over...
Authors
Wesley W. Boone, Christopher E. Moorman, Adam J. Terando, David J. Moscicki, Bret A. Collier, Michael J. Chamberlain, Krishna Pacifici
Landsat 9 geometric commissioning calibration updates and system performance assessment Landsat 9 geometric commissioning calibration updates and system performance assessment
Starting with launch of Landsat 7 (L7) on 15 April 1999, the USGS Landsat Image Assessment System (IAS) has been performing calibration and characterization operations for over 20 years on the Landsat spacecrafts and their associated payloads. With the launch of Landsat 9 (L9) on 27 September 2021, that spacecraft and its payloads, the Operational Land Imager-2 (OLI-2) and Thermal...
Authors
Michael J. Choate, Rajagopalan Rengarajan, James Storey, Mark Lubke
Combining expert knowledge of a threatened trout distribution with sparse occupancy data for climate-related projection Combining expert knowledge of a threatened trout distribution with sparse occupancy data for climate-related projection
Objective
Authors
Nathan Chelgren, Jason Dunham, Stephanie L Gunckel, David P Hockman-Wert, Chris S Allen
A prioritization protocol for coastal wetland restoration on Molokaʻi, Hawaiʻi A prioritization protocol for coastal wetland restoration on Molokaʻi, Hawaiʻi
Hawaiian coastal wetlands provide important habitat for federally endangered waterbirds and socio-cultural resources for Native Hawaiians. Currently, Hawaiian coastal wetlands are degraded by development, sedimentation, and invasive species and, thus, require restoration. Little is known about their original structure and function due to the large-scale alteration of the lowland...
Authors
Judith Z. Drexler, Helen Raine, James D. Jacobi, Sally House, Pulama Lima, William Haase, Arleone Dibben-Young, Brett T. Wolfe
GRiMeDB: The Global River Database Methane Database of concentrations and fluxes GRiMeDB: The Global River Database Methane Database of concentrations and fluxes
Despite their small spatial extent, fluvial ecosystems play a significant role in processing and transporting carbon in aquatic networks, which results in substantial emission of methane (CH4) into the atmosphere. For this reason, considerable effort has been put into identifying patterns and drivers of CH4 concentrations in streams and rivers and estimating fluxes to the atmosphere...
Authors
Emily H. Stanley, Luke C. Loken, Nora J. Casson, Samantha K. Oliver, Ryan A. Sponseller, Marcus B. Wallin, Liwei Zhang, Gerard Rocher-Ros
Cross-continental evaluation of landscape-scale drivers and their impacts to fluvial fishes: Understanding frequency and severity to improve fish conservation in Europe and the United States Cross-continental evaluation of landscape-scale drivers and their impacts to fluvial fishes: Understanding frequency and severity to improve fish conservation in Europe and the United States
Fluvial fishes are threatened globally from intensive human landscape stressors degrading aquatic ecosystems. However, impacts vary regionally, as stressors and natural environmental factors differ between ecoregions and continents. To date, a comparison of fish responses to landscape stressors over continents is lacking, limiting understanding of consistency of impacts and hampering...
Authors
Maria M. Ublacker, Dana M. Infante, Arthur R. Cooper, Wesley M. Daniel, Stefan Schmutz, Rafaela Schinegger
Differentiable modelling to unify machine learning and physical models for geosciences Differentiable modelling to unify machine learning and physical models for geosciences
Process-based modelling offers interpretability and physical consistency in many domains of geosciences but struggles to leverage large datasets efficiently. Machine-learning methods, especially deep networks, have strong predictive skills yet are unable to answer specific scientific questions. In this Perspective, we explore differentiable modelling as a pathway to dissolve the...
Authors
Chaopeng Shen, Alison P. Appling, Pierre Gentine, Toshiyuki Bandai, Hoshin Gupta, Alexandre Tartakovsky, Marco Baity-Jesi, Fabrizio Fenicia, Daniel Kifer, Li Li, Xiaofeng Liu, Wei Ren, Yi Zheng, Ciaran Harman, Martyn Clark, Matthew Farthing, Dapeng Feng, Praveen Kumar, Doaa Aboelyazeed, Farshid Rahmani, Yalan Song, Hylke E. Beck, Tadd Bindas, Dipankar Dwivedi, Kuai Fang, Marvin Hoge, Chris Rackauckas, Binayak Mohanty, Roy, Chonggang Xu, Kathryn Lawson
Thermography captures the differential sensitivity of dryland functional types to changes in rainfall event timing and magnitude Thermography captures the differential sensitivity of dryland functional types to changes in rainfall event timing and magnitude
Drylands of the southwestern United States are rapidly warming, and rainfall is becoming less frequent and more intense, with major yet poorly understood implications for ecosystem structure and function. Thermography-based estimates of plant temperature can be integrated with air temperature to infer changes in plant physiology and response to climate change. However, very few studies...
Authors
Mostafa Javadian, Russell L. Scott, Joel A. Biederman, Fangyue Zhang, Joshua B. Fisher, Sasha C. Reed, Daniel L. Potts, Miguel L. Villarreal, Andrew F. Feldman, William K. Smith
Ring fault creep drives volcano-tectonic seismicity during caldera collapse of Kīlauea in 2018 Ring fault creep drives volcano-tectonic seismicity during caldera collapse of Kīlauea in 2018
Basaltic caldera collapses are episodic, producing very-long-period (VLP) earthquakes up to Mw 5.4, with prolific inter-collapse (between collapses) volcano-tectonic (VT) seismicity. During the 2018 caldera collapse of Kīlauea Volcano, VT seismicity ceased following each collapse, and then accelerated to a quasi-steady rate prior to the next collapse, marking a temporal pattern distinct...
Authors
Taiyi A. Wang, Paul Segall, Alicia J. Hotovec-Ellis, Kyle R. Anderson, Peter F. Cervelli
Distribution of rare earth and other critical elements in lignites from the Eocene Jackson Group, Texas Distribution of rare earth and other critical elements in lignites from the Eocene Jackson Group, Texas
Coal is increasingly evaluated as a source of rare earth elements (REEs) in the United States to address the overreliance on imported REEs. The objective of this study was to assess the distribution of REEs in lignites from selected mining areas in the Texas Gulf Coastal Plain region. Thirty-one archived lignite and rock samples previously collected by the U.S. Geological Survey were...
Authors
James C. Hower, Peter D. Warwick, Bridget R. Scanlon, Robert C. Reedy, Tristan M. Childress
Efficacy of machine learning image classification for automated occupancy-based monitoring Efficacy of machine learning image classification for automated occupancy-based monitoring
Remote cameras have become a widespread data-collection tool for terrestrial mammals, but classifying images can be labor intensive and limit the usefulness of cameras for broad-scale population monitoring. Machine learning algorithms for automated image classification can expedite data processing, but image misclassifications may influence inferences. Here, we used camera data for three...
Authors
Robert Charles Lonsinger, Marlin M. Dart, Randy T. Larsen, Robert N. Knight
Stakeholder attitudes and perspectives on wildlife disease surveillance as a component of a One Health approach in Thailand Stakeholder attitudes and perspectives on wildlife disease surveillance as a component of a One Health approach in Thailand
Coordinated wildlife disease surveillance (WDS) can help professionals across disciplines effectively safeguard human, animal, and environmental health. The aims of this study were to understand how WDS in Thailand is utilized, valued, and can be improved within a One Health framework. An online questionnaire was distributed to 183 professionals (55.7% response rate) across Thailand...
Authors
Serena Elise George, Moniek Smink, Nareerat Sangkachai, Anuwat Wiratsudakul, Walasinee Sakcamduang, Sarin Suwanpakdee, Jonathan M. Sleeman