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Publications

Browse more than 160,000 publications authored by our scientists over the past 100+ year history of the USGS.  Publications available are: USGS-authored journal articles, series reports, book chapters, other government publications, and more.

Filter Total Items: 175645

A framework for ensemble modelling of climate change impacts on lakes worldwide: The ISIMIP lake sector. A framework for ensemble modelling of climate change impacts on lakes worldwide: The ISIMIP lake sector.

Empirical evidence demonstrates that lakes and reservoirs are warming across the globe. Consequently, there is an increased need to project future changes in lake thermal structure and resulting changes in lake biogeochemistry in order to plan for the likely impacts. Previous studies of the impacts of climate change on lakes have often relied on a single model forced with limited...
Authors
Malgorzata Golub, Wim Thiery, Rafael Marce, Don Pierson, Inne Vanderkelen, Daniel Mercado-Bettin, R. Iestyn Woolway, Luke Grant, Eleanor Jennings, Benjamin Kraemer, Jacob Schewe, Fang Zhao, Katja Frieler, Matthias Mengel, Vasiliy Y. Bogomolov, Damian Bouffard, Marianne Cote, Raoul-Marie Couture, Andrey V. Debolskiy, Bram Droppers, Gideon Gal, Mingyang Guo, Annette B. G. Janssen, Georgiy Kirillin, Robert Ladwig, Madeline R. Magee, Tadhg Moore, Marjorie Perroud, Sebastiano Piccolroaz, Love Raaman Vinnea, Martin Schmid, Tom Shatwell, Victor M. Stepanenko, Zeli Tan, Bronwyn Woodward, Huaxia Yao, Rita Adrian, Mathew Allan, Orlane Anneville, Lauri Arvola, Karen Atkins, Leon Boegman, Cayelan C. Carey, Kyle Christianson, Elvira de Eyto, Curtis L. DeGasperi, Maria Grechushnikova, Josef Hejzlar, Klaus Joehnk, Ian D. Jones, Alo Laas, Eleanor B. MacKay, Ivan Mammarella, Hampus Markensten, Christopher G. McBride, Deniz Özkundakci, Miguel Potes, Karsten Rinke, Dale M. Robertson, James A. Rusak, Rui Salgado, Leon van der Linden, Piet Verburg, Danielle Wain, Nicole K. Ward, Sabine Wollrab, Galina Zdorovennova

Computed tomography for measuring body fat reserves in threatened Mohave desert tortoise (Gopherus agassizii) Computed tomography for measuring body fat reserves in threatened Mohave desert tortoise (Gopherus agassizii)

Noninvasive methods for measuring fat reserves in both captive and free-ranging animals are important for monitoring individual and population health, but chelonian anatomy and physiology present challenges to accurate measurements. Standard field-based methods for assessing body condition in Mojave desert tortoises (Gopherus agassizii) involve the qualitative body condition score, which...
Authors
M A Walden, Rachel Jania, Matthew E Kinney, Anne Devan-Song, K. Kristina Drake, Todd Esque, Kevin T. Shoemaker

Statistical assessment on determining local presence of rare bat species Statistical assessment on determining local presence of rare bat species

Surveying cryptic, sparsely distributed taxa using autonomous recording units, although cost-effective, provides imperfect knowledge about species presence. Summertime bat acoustic surveys in North America exemplify the challenges with characterizing sources of uncertainty: observation error, inability to census populations, and natural stochastic variation. Statistical uncertainty, if...
Authors
Kathryn M. Irvine, Katharine M. Banner, Christian Stratton, W. Mark Ford, Brian E. Reichert

Adaptive problem maps (APM): Connecting data dots to build increasingly informed and defensible environmental conservation decisions Adaptive problem maps (APM): Connecting data dots to build increasingly informed and defensible environmental conservation decisions

Connecting individual datasets from different projects to each other and to decisions can help manager-researcher-administrator teams build on what is known and adapt their environmental decision-making process as new information becomes available. Throughout their careers, environmental professionals often collect data on many individual projects that address similar sets of natural...
Authors
Martha E. Mather, John M. Dettmers

Remote sensing of field-scale irrigation withdrawals in the central Ogallala aquifer region Remote sensing of field-scale irrigation withdrawals in the central Ogallala aquifer region

For agricultural areas facing water scarcity, sustainable water use policy relies on irrigation information that is timely and at a high resolution, but existing publicly available water use data are often insufficient for monitoring compliance or understanding the influence of policy on individual farmer decisions. This study attempts to fill this data gap by using remote sensing to map...
Authors
Steven S Filippelli, Matthew R Sloggy, Jody C. Vogeler, Dale T Manning, Christopher Goemans, Gabriel B. Senay

The consequences of climate change for dryland biogeochemistry The consequences of climate change for dryland biogeochemistry

Drylands, which cover more than 40% of Earth’s terrestrial surface, are dominant drivers of global biogeochemical cycling and home to more than one third of the human population. Climate projections predict warming, drought frequency and severity, and evaporative demand will increase in drylands at faster rates than global means. Due to extreme temperatures and high biological dependency...
Authors
Brooke Bossert Osborne, Brandon T. Bestelmeyer, Courtney M. Currier, Peter M Homyak, Heather L. Throop, Kristina E. Young, Sasha C. Reed

On the multiple identities of stakeholders in wolf management in Minnesota, United States On the multiple identities of stakeholders in wolf management in Minnesota, United States

Social identity theory offers a means to understand attitudes about wolves, with consequences for management support. Using data from a mail survey about wolves, we explored relationships among seven identities (i.e., wolf advocate, hunter, environmentalist, nature enthusiast, farmer, trapper, conservationist) using multidimensional scaling (MDS) and principal components analysis (PCA)...
Authors
Susan A. Schroeder, Adam C. Landon, David C. Fulton, Leslie McInenly

Implementation plan of the National Cooperative Geologic Mapping Program strategy — Appalachian Piedmont and Blue Ridge Provinces Implementation plan of the National Cooperative Geologic Mapping Program strategy — Appalachian Piedmont and Blue Ridge Provinces

The National Cooperative Geologic Mapping Program is publishing a strategic plan titled “Renewing the National Cooperative Geologic Mapping Program as the Nation’s Authoritative Source for Modern Geologic Knowledge.” The plan provides a vision, mission, and goals for the program for the years 2020–30:Vision: create an integrated, three-dimensional, digital geologic map of the United...
Authors
Arthur J. Merschat, Mark W. Carter

Opportunities to improve alignment with the FAIR Principles for U.S. Geological Survey data Opportunities to improve alignment with the FAIR Principles for U.S. Geological Survey data

In 2016, an interdisciplinary, international group of 53 scientists introduced a framework named “the FAIR Principles” for addressing 21st century scientific data challenges. The FAIR Principles are increasingly used as a guide for producing digital scientific products that are findable, accessible, interoperable, and reusable (FAIR), especially to enable use of such products in...
Authors
Frances L. Lightsom, Vivian B. Hutchison, Bradley Bishop, Linda M. Debrewer, David L. Govoni, Natalie Latysh, Shelley Stall

Arkansas and Landsat Arkansas and Landsat

Scenic Arkansas certainly lives up to its nickname, “The Natural State.” The Ozark Plateau and Ouachita Mountains boast stunning views, vast resources, and recreation. Hardwood and pine forests cover one-half of the State. The major rivers—Arkansas, Ouachita, Red, and White—offer recreation and navigation as they drain toward the Mississippi River, which forms the State’s eastern border...
Authors

Bayesian inverse reinforcement learning for collective animal movement Bayesian inverse reinforcement learning for collective animal movement

Agent-based methods allow for defining simple rules that generate complex group behaviors. The governing rules of such models are typically set a priori, and parameters are tuned from observed behavior trajectories. Instead of making simplifying assumptions across all anticipated scenarios, inverse reinforcement learning provides inference on the short-term (local) rules governing long...
Authors
Toryn L. J. Schafer, Christopher K. Wikle, Mevin Hooten
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