Book Chapters
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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.
The USGS provides unbiased, objective, and impartial scientific information upon which our audiences, including resource managers, planners, and other entities, rely.
Browse more than 5,500 book chapters authored by our scientists over the past 100+ year history of the USGS and refine search by topic, location, year, and advanced search.
Filter Total Items: 6152
Barred Owl history in Oregon Barred Owl history in Oregon
No abstract available.
Authors
David Wiens
Black Oystercatchers Black Oystercatchers
No abstract available.
Authors
Elise Elliott-Smith, Joe Liebezeit
The Colorado River – The science-policy interface The Colorado River – The science-policy interface
No abstract available.
Authors
John C. Schmidt, Lindsey Bruckerhoff, Jianghao Wang, Charles Yackulic
Contaminant studies in Oregon Contaminant studies in Oregon
No abstract available.
Authors
Charles J. Henny
Invasive species control and management: The sea lamprey story Invasive species control and management: The sea lamprey story
Control of invasive species is a critical component of conservation biology given the catastrophic damage that they can cause to the ecosystems they invade. This is particularly evident with sea lamprey (Petromyzon marinus) in the Laurentian Great Lakes. Native to the Atlantic Ocean, the sea lamprey's ability to osmoregulate in fresh water, its wide thermal tolerance, generalist diet...
Authors
Michael P. Wilkie, Nicholas S. Johnson, Margaret F. Docker
Tectonics, fault zones, and topography in the Alaska-Canada Cordillera with a focus on the Alaska Range and Denali fault zone Tectonics, fault zones, and topography in the Alaska-Canada Cordillera with a focus on the Alaska Range and Denali fault zone
Synergistic interactions between geologic structures and topography have long been recognized to reflect numerous Earth processes and rock properties over time. It was not until the advent of plate tectonics in the midtwentieth century that researchers began to view the nature of the northern Cordillera orogen as a quilt of foreign pieces of crust or “suspect terranes”. The Alaska Range...
Authors
Jonathan Caine, Jeff A. Benowitz
Biological assessments of aquatic ecosystems Biological assessments of aquatic ecosystems
The aim of biological assessments (or bioassessments) is to provide decision makers and managers the scientific information and tools needed to protect and restore aquatic life. Biological assessments typically include several critical elements, including development of ecological indicators, indices of ecological status, benchmarks by which to gauge impairment, ways to identify the...
Authors
Charles P. Hawkins, Daren Carlisle
Physics-guided architecture (PGA) of LSTM models for uncertainty quantification in lake temperature modeling Physics-guided architecture (PGA) of LSTM models for uncertainty quantification in lake temperature modeling
This chapter focuses on meeting the need to produce neural network outputs that are physically consistent and also express uncertainties, a rare combination to date. It explains the effectiveness of physics-guided architecture - long-short-term-memory (PGA-LSTM) in achieving better generalizability and physical consistency over data collected from Lake Mendota in Wisconsin and Falling...
Authors
Arka Daw, R. Quinn Thomas, Cayelan C. Carey, Jordan Read, Alison P. Appling, Anuj Karpatne
Heat budget of lakes Heat budget of lakes
This article gives an overview of the heat fluxes between lakes and their environment. The heat budget of most lakes is dominated by heat fluxes at the lake surface, especially shortwave radiation, incoming and outgoing longwave radiation, and the latent heat flux. The seasonality of these fluxes is the most important driver for seasonal mixing processes in lakes. Changes in heat fluxes...
Authors
Martin Schmid, Jordan Read
Physics-guided neural networks (PGNN): An application in lake temperature modeling Physics-guided neural networks (PGNN): An application in lake temperature modeling
This chapter introduces a framework for combining scientific knowledge of physics-based models with neural networks to advance scientific discovery. It explains termed physics-guided neural networks (PGNN), leverages the output of physics-based model simulations along with observational features in a hybrid modeling setup to generate predictions using a neural network architecture. Data...
Authors
Arka Daw, Anuj Karpatne, William Watkins, Jordan Read, Vipin Kumar
Physics-guided recurrent neural networks for predicting lake water temperature Physics-guided recurrent neural networks for predicting lake water temperature
This chapter presents a physics-guided recurrent neural network model (PGRNN) for predicting water temperature in lake systems. Standard machine learning (ML) methods, especially deep learning models, often require a large amount of labeled training samples, which are often not available in scientific problems due to the substantial human labor and material costs associated with data...
Authors
Xiaowei Jia, Jared Willard, Anuj Karpatne, Jordan Read, Jacob Aaron Zwart, Michael Steinbach, Vipin Kumar