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Book Chapters

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: 6063

Radionuclides in surface and groundwater

Unique among all the contaminants that adversely affect surface and water quality, radioactive compounds pose a double threat from both toxicity and damaging radiation. The extreme energy potential of many of these materials makes them both useful and toxic. The unique properties of radioactive materials make them invaluable for medical, weapons, and energy applications. However, mining, productio
Authors
Kate M. Campbell

Seismic monitoring to assess performance of structures in near-real time: Recent progress

Earlier papers have described how observed data from classical accelerometers deployed in structures or from differential GPS with high sampling ratios deployed at roofs of tall buildings can be configured to establish seismic health monitoring of structures. In these configurations, drift ratios are the main parametric indicator of damage condition of a structure or component of a structure. Real
Authors
Mehmet Çelebi

Estimation of fuel conditions for fire danger assessment

A review of physical and chemical properties of fuels relevant for fire ignition and propagation is presented, along with different methods to estimate those properties, with special emphasis on satellite imagery. The discussion is more extended on estimating fuel moisture trends and fuel geometrical properties.
Authors
Emilio Chuvieco, Jan W. Van Wagtendonk, David Riaño, Marta Yebra, Susan L. Ustin

Fires and landscape conservation in mediterranean ecosystems

Protected areas are some of the last remaining areas on Earth where fire can play its natural role at a landscape-scale. The International Union for Conservation of Nature (IUCN) has developed a system for categorizing protected areas. The role fire can play in the various categories depends on the management objectives of the category, the size of the individual units, and the laws and policies o
Authors
Jan W. Van Wagtendonk

Fishway evaluations for better bioengineering: An integrative approach

Effective fishway design requires extensive integration of biological and hydraulic data. Many relevant biological parameters remain poorly characterized, however, and the lack of adequate biological data has long been recognized as a central weakness in fish passage technology. This is of particular concern given the growing recognition of the importance of passing a broad diversity of species. P
Authors
Theodore R. Castro-Santos, Aline Cotel, Paul Webb

Controlling the spread of invasive species while sampling

Invasive species have a substantial impact on natural resource management. The economic cost of invasive species to people in the United States is an estimated US$137 billion annually (Pimental et al. 2000). The environmental cost is much greater and usually incalculable (Pimental et al. 2005). Nearly half of the plant and animal species federally listed in the United States' Endangered Species Ac
Authors
Stewart Jacks, Steve Sharon, Ronald E. Kinnunen, David K. Britton, Scott S. Smith

Beaches

Beaches are shoreline accumulations of loose sand, gravel or a mixture of the two, that are formed primarily by the action of waves. Beach sediment can be derived from a variety of sources including insular shelves, the adjacent land and upland sources, or other beach locations through alongshore movement of material. Beaches provide critical coastal habitat, such as nesting sites for sea turtles;
Authors
Bruce M. Richmond

The Boring Volcanic Field of the Portland-Vancouver area, Oregon and Washington: Tectonically anomalous forearc volcanism in an urban setting

More than 80 small volcanoes are scattered throughout the Portland-Vancouver metropolitan area of northwestern Oregon and southwestern Washington. These volcanoes constitute the Boring Volcanic Field, which is centered in the Neogene Portland Basin and merges to the east with coeval volcanic centers of the High Cascade volcanic arc. Although the character of volcanic activity is typical of many mo
Authors
Russell C. Evarts, Richard M. Conrey, Robert J. Fleck, Jonathan T. Hagstrum

An integrated approach to benthic habitat mapping using remote sensing and GIS: An example from the Hawaiian Islands

This chapter documents our effort to map benthic habitats within the KalokoHonokohau National Historic Park, Hawai`i, USA. We produce detailed benthichabitat maps by using a combination of color aerial photography, high-resolution bathymetry, and georeferenced underwater video and still photography. We classify individual habitat polygons using five basic attributes and additional information rega
Authors
A. E. Gibbs, Susan A. Cochran

A generalized mixed effects model of abundance for mark-resight data when sampling is without replacement

In recent years, the mark-resight method for estimating abundance when the number of marked individuals is known has become increasingly popular. By using field-readable bands that may be resighted from a distance, these techniques can be applied to many species, and are particularly useful for relatively small, closed populations. However, due to the different assumptions and general rigidity o
Authors
B.T. McClintock, Gary C. White, K.P. Burnham, M.A. Pryde

A traditional and a less-invasive robust design: choices in optimizing effort allocation for seabird population studies

For many animal populations, one or more life stages are not accessible to sampling, and therefore an unobservable state is created. For colonially-breeding populations, this unobservable state could represent the subset of adult breeders that have foregone breeding in a given year. This situation applies to many seabird populations, notably albatrosses, where skipped breeders are either absent fr
Authors
S. J. Converse, W. L. Kendall, P.F. Doherty, M.B. Naughton, J. E. Hines

Bayes factors and multimodel inference

Multimodel inference has two main themes: model selection, and model averaging. Model averaging is a means of making inference conditional on a model set, rather than on a selected model, allowing formal recognition of the uncertainty associated with model choice. The Bayesian paradigm provides a natural framework for model averaging, and provides a context for evaluation of the commonly used AI
Authors
W. A. Link, R. J. Barker