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Featured researches published by Mark W. Bultman.


Annals of the New York Academy of Sciences | 2007

Coccidioides Niches and Habitat Parameters in the Southwestern United States A Matter of Scale

Frederick S. Fisher; Mark W. Bultman; Suzanne M. Johnson; Demosthenes Pappagianis; Erik Zaborsky

Abstract:  To determine habitat attributes and processes suitable for the growth of Coccidioides, soils were collected from sites in Arizona, California, and Utah where Coccidioides is known to have been present. Humans or animals or both have been infected by Coccidioides at all of the sites. Soil variables considered in the upper 20 cm of the soil profile included pH, electrical conductivity, salinity, selected anions, texture, mineralogy, vegetation types and density, and the overall geomorphologic and ecological settings. Thermometers were buried to determine the temperature range in the upper part of the soil where Coccidioides is often found. With the exception of temperature regimes and soil textures, it is striking that none of the other variables or group of variables that might be definitive are indicative of the presence of Coccidioides. Vegetation ranges from sparse to relatively thick cover in lower Sonoran deserts, Chaparral‐upper Sonoran brush and grasslands, and Mediterranean savannas and forested foothills. No particular grass, shrub, or forb is definitive. Material classified as very fine sand and silt is abundant in all of the Coccidioides‐bearing soils and may be their most common shared feature. Clays are not abundant (less than 10%). All of the examined soil locations are noteworthy as generally 50% of the individuals who were exposed to the dust or were excavating dirt at the sites were infected. Coccidioides has persisted in the soil at a site in Dinosaur National Monument, Utah for 37 years and at a Tucson, Arizona site for 41 years.


Archive | 2013

The Ecology of Soil-Borne Human Pathogens

Mark W. Bultman; Frederick S. Fisher; Demosthenes Pappagianis

The surface of the Earth, with the exception of the oceans and polar ice caps, is in large part covered with a marvelously complex layer of material called soil, from which we derive a host of useful products including fiber, fuels, building materials, animal forage, many mineral commodities, natural medicines (including antibiotics), and most of our food supply. Soil is teeming with life and is home for a huge array of living organisms. The vast majority of these living organisms are microbes that are ubiquitous on Earth (Table 20.1). They occur in all soils, salt and fresh water, the harsh climates of the Arctic and Antarctic, adjacent to deep-sea hydrothermal vents associated with spreading zones between tectonic plates, throughout the atmosphere, and deep below the surface of the Earth in oil wells where they have been isolated from the surface environment for millions of years (Staley 2002, p. 13).


Earth, Planets and Space | 2005

A predictive penetrative fracture mapping method from regional potential field and geologic datasets, southwest Colorado Plateau, U.S.A.

Mark E. Gettings; Mark W. Bultman

Some aquifers of the southwest Colorado Plateau, U.S.A., are deeply buried and overlain by several impermeable units, and thus recharge to the aquifer is probably mainly by seepage down penetrative fracture systems. This purpose of this study was to develop a method to map the location of candidate deep penetrative fractures over a 120,000 km2 area using gravity and aeromagnetic anomaly data together with surficial fracture data. The resulting database constitutes a spatially registered estimate of recharge location. Candidate deep fractures were obtained by spatial correlation of horizontal gradient and analytic signal maxima of gravity and magnetic anomalies vertically with major surficial lineaments obtained from geologic, topographic, side-looking airborne radar, and satellite imagery. The maps define a sub-set of possible penetrative fractures because of limitations of data coverage and the analysis technique. The data and techniques employed do not yield any indication as to whether fractures are open or closed. Correlations were carried out using image processing software in such a way that every pixel on the resulting grids was coded to uniquely identify which datasets correlated. The technique correctly identified known deep fracture systems and many new ones. Maps of the correlations also define in detail the tectonic fabrics of the southwestern Colorado Plateau.


Scientific Investigations Report | 2018

Geologic framework and hydrogeology of the Rio Rico and Nogales 7.5’ quadrangles, upper Santa Cruz Basin, Arizona, with three-dimensional hydrogeologic model

William R. Page; Mark W. Bultman; D. Paco VanSistine; Christopher M. Menges; Floyd Gray; Michael P. Pantea

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Scientific Investigations Report | 2016

Hydrogeologic investigations of the Miocene Nogales Formation in the Nogales Area, Upper Santa Cruz Basin, Arizona

William R. Page; Floyd Gray; Mark W. Bultman; Christopher M. Menges

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Data Series | 2014

Magnetic susceptibility data for some exposed bedrock in the western conterminous United States

Mark E. Gettings; Mark W. Bultman

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Environmental Management | 2004

A Complex Systems Model Approach to Quantified Mineral Resource Appraisal

Mark E. Gettings; Mark W. Bultman; Frederick S. Fisher


Open-File Report | 1993

Quantifying favorableness for occurrence of a mineral deposit type using fuzzy logic; an example from Arizona

Mark E. Gettings; Mark W. Bultman


13th EEGS Symposium on the Application of Geophysics to Engineering and Environmental Problems | 2000

Airborne Em As A 3-D Aquifer-Mapping Tool

Jeff Wynn; Don Pool; Mark W. Bultman; Mark E. Gettings; Jean Lemieux


Open-File Report | 2002

Preliminary United States-Mexico border watershed analysis, twin cities area of Nogales, Arizona and Nogales, Sonora

Laura Margaret Brady; Floyd Gray; Mario Castaneda; Mark W. Bultman; Karen Sue Bolm

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Mark E. Gettings

United States Geological Survey

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Floyd Gray

United States Geological Survey

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William R. Page

United States Geological Survey

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D. Paco VanSistine

United States Geological Survey

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Erik Zaborsky

Bureau of Land Management

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Michael A. Cosca

United States Geological Survey

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