Geology topics

Kim A. Keating

Publications and source records attributed to Kim A. Keating.

9 recordsLinked to original sources

USGS2010

Low genotyping error rates and noninvasive sampling in Bighorn Sheep

Noninvasive DNA sampling allows studies of natural populations without disturbing the target animals. Unfortunately, high genotyping error rates often make noninvasive studies difficult. We report low error rates (0.0–7.5%/locus) when genotyping 18 microsatellite loci in only 4 multiplex polymerase chain reaction amplifications using fecal DNA from bighorn sheep ( Ovis canadensis ). The average locus-specific error rates varied significantly between the 2 populations (0.13% vs. 1.6%; P < 0.001), as did multi-locus genotype error rates (2.3% vs. 14.1%; P < 0.007). This illustrates the importance of quantifying error rates in each study population (and for each season and sample preservation method) before initiating a noninvasive study. Our error rates are among the lowest reported for fecal samples collected noninvasively in the field. This and other recent studies suggest that noninvasive fecal samples can be used in species with pellet-form feces for nearly any study (e.g., of population structure, gene flow, dispersal, parentage, and even genome-wide studies to detect local adaptation) that previously required high-quality blood or tissue samples.

Montana↗

USGS2010

A simple solar radiation index for wildlife habitat studies

Solar radiation is a potentially important covariate in many wildlife habitat studies, but it is typically addressed only indirectly, using problematic surrogates like aspect or hillshade. We devised a simple solar radiation index (SRI) that combines readily available information about aspect, slope, and latitude. Our SRI is proportional to the amount of extraterrestrial solar radiation theoretically striking an arbitrarily oriented surface during the hour surrounding solar noon on the equinox. Because it derives from first geometric principles and is linearly distributed, SRI offers clear advantages over aspect-based surrogates. The SRI also is superior to hillshade, which we found to be sometimes imprecise and ill-behaved. To illustrate application of our SRI, we assessed niche separation among 3 ungulate species along a single environmental axis, solar radiation, on the northern Yellowstone winter range. We detected no difference between the niches occupied by bighorn sheep ( Ovis canadensis ) and elk ( Cervus elaphus; P = 0.104), but found that mule deer ( Odocoileus hemionus ) tended to use areas receiving more solar radiation than either of the other species ( P < 0.001). Overall, our SRI provides a useful metric that can reduce noise, improve interpretability, and increase parsimony in wildlife habitat models containing a solar radiation component.

Wyoming↗

USGS2009

Distribution of Pasteurella Trehalosi genotypes isolated from Bighorn Sheep in Waterton-Glacier International Peace Park

We studied the distribution of Pasteurella trehalosi genotypes isolated from oropharyngeal tissues of Rocky Mountain bighorn sheep ( Ovis canadensis canadensis ) in Waterton Lakes National Park, Alberta, Canada and Glacier National Park, Montana, USA. A separate radio-telemetry study indicated the bighorn metapopulation consisted of at least three neighborhoods of multiple ewe and ram social groups, with varying degrees of interchange among them. Genetic analysis using random amplified polymorphic DNA from 25 P. trehalosi isolates revealed three major genotypes. Our predictions were that genetic relatedness would be greatest among organisms collected in the same neighborhood, and that those collected from adjacent neighborhoods would show greater relatedness than those from distant or isolated neighborhoods. Results did not fully support these predictions. Nonetheless, the spatial distribution of P. trehalosi genotypes did vary with the observed neighborhood structure. Two of three genotypes occurred throughout the study area, but the third was found only in Waterton Lakes National Park. Because P. trehalosi is believed to be transmitted only via direct contact between individual sheep, this suggests the north Glacier neighborhood was further partitioned into two subpopulations. Overall, our results show the utility of using DNA from pathogens to elucidate the spatial structure of host populations.

Alberta, Montana↗

USGS2006

Temporal, spatial, and environmental influences on the demographics of grizzly bears in the Greater Yellowstone Ecosystem

During the past 2 decades, the grizzly bear ( Ursus arctos ) population in the Greater Yellowstone Ecosystem (GYE) has increased in numbers and expanded in range. Understanding temporal, environmental, and spatial variables responsible for this change is useful in evaluating what likely influenced grizzly bear demographics in the GYE and where future management efforts might benefit conservation and management. We used recent data from radio-marked bears to estimate reproduction (1983–2002) and survival (1983–2001); these we combined into models to evaluate demographic vigor (lambda [λ]). We explored the influence of an array of individual, temporal, and spatial covariates on demographic vigor.

Idaho, Montana, Wyoming↗

USGS2003

Reproductive maturation and senescence in the female brown bear

Changes in age-specific reproductive rates can have important implications for managing populations, but the number of female brown (grizzly) bears ( Ursus arctos ) observed in any one study is usually inadequate to quantify such patterns, especially for older females and in hunted areas. We examined patterns of reproductive maturation and senescence in female brown bears by combining data from 20 study areas from Sweden, Alaska, Canada, and the continental United States. We assessed reproductive performance based on 4,726 radiocollared years for free-ranging female brown bears (age ≥3); 482 of these were for bears ≥20 years of age. We modeled age-specific probability of litter production using extreme value distributions to describe probabilities for young- and old-age classes, and a power distribution function to describe probabilities for prime-aged animals. We then fit 4 models to pooled observations from our 20 study areas. We used Akaike's Information Criterion (AIC) to select the best model. Inflection points suggest that major shifts in litter production occur at 4-5 and 28-29 years of age. The estimated model asymptote (0.332, 95% CI = 0.319-0.344) was consistent with the expected reproductive cycle of a cub litter every 3 years (0.333). We discuss assumptions and biases in data collection relative to the shape of the model curve. Our results conform to senescence theory and suggest that female age structure in contemporary brown bear populations is considerably younger than would be expected in the absence of modern man. This implies that selective pressures today differ from those that influenced brown bear evolution.

Ursus↗

USGS2002

History of pronghorn population monitoring, research, and management in Yellowstone National Park

Pronghorn antelope in Yellowstone National Park (YNP) persist in a small population that historically has experienced recurrent, sometimes dramatic declines. They apparently are isolated from other pronghorns, depend partly on private lands for winter range, experience heavy predation of fawns, and concentrate during winter in a relatively small area, thereby increasing their vulnerability to factors like disease or locally extreme weather. Overall, the situation raises serious concerns about the long-term viability of this population. Although such concerns are not new, evidence of a dramatic population decline since 1991 and continued poor recruitment has created a renewed sense of urgency. Recent efforts to revitalize pronghorn research in YNP began with fawn recruitment and habitat use studies, initiated in 1999 and 2000. With those studies drawing to a close, YNP is reviewing the status and direction of its pronghorn program. The Yellowstone Pronghorn Conservation Assessment Workshop was convened in YNP in January, 2002, to appraise the current state of knowledge about this pronghorn population and make recommendations about future management and research needs. A review of pronghorn population change, management, and research in YNP was commissioned in May, 2001, to provide historical background for workshop participants. Following is a written summary of that review. The process of locating materials for this review was limited to 3 months. Not all relevant materials were discovered or reviewed in that time. In particular, it was not possible to find and review all original sources of information. Also, except for occasional anecdotal accounts, weather records were not reviewed, leaving a potentially serious gap in our understanding of the forces driving changes in pronghorn population counts and estimates 2 over time. Despite these deficiencies, considerable information was reviewed, earlier summaries of population classification and count data were updated, and previously uncited sources of information were identified that challenge important aspects of previous interpretations of the history of pronghorns and pronghorn management in YNP. Information is grouped into 4 major subject areas: distribution and habitat use, demographics and management, genetics, and disease.

Wyoming↗

USGS1998

Estimating the effectiveness of further sampling inspecies inventories

Estimators of the number of additional species expected in the next Δ n samples offer a potentially important tool for improving cost-effectiveness of species inventories but are largely untested. We used Monte Carlo methods to compare 11 such estimators, across a range of community structures and sampling regimes, and validated our results, where possible, using empirical data from vascular plant and beetle inventories from Glacier National Park, Montana, USA. We found that B. Efron and R. Thisted’s 1976 negative binomial estimator was most robust to differences in community structure and that it was among the most accurate estimators when sampling was from model communities with structures resembling the large, heterogeneous communities that are the likely targets of major inventory efforts. Other estimators may be preferred under specific conditions, however. For example, when sampling was from model communities with highly even species-abundance distributions, estimates based on the Michaelis-Menten model were most accurate; when sampling was from moderately even model communities with S = 10 species or communities with highly uneven species-abundance distributions, estimates based on Gleason’s (1922) species–area model were most accurate. We suggest that use of such methods in species inventories can help improve cost-effectiveness by providing an objective basis for redirecting sampling to more-productive sites, methods, or time periods as the expectation of detecting additional species becomes unacceptably low.

Ecological Applications↗

USGS1994

An alternative index of satellite telemetry location error

Existing indices of satellite telemetry error offer objective standards for censoring poor locations, but have drawbacks. Examining distances and relative directions between consecutive satellite telemetry locations, I developed an alternative error index, ξ, and compared its performance with that of the location quality index, NQ (Serv. Argos 1988). In controlled tests, ξ was more (P ≤ 0.005) effective for improving precision than was a threshold of NQ > 1. The ξ index also conferred greater control over the trade off between sample size and precision, making ξ more cost-effective than NQ. Performances of ξ and NQ were otherwise comparable. In field tests with bighorn sheep ( Ovis canadensis ), rejecting locations where ξ ≥ 1.5 km reduced (P < 0.001) longitudinal dispersion, the predominant error component. Longitudinal dispersion for these locations was less (P = 0.025) than for locations where NQ > 1 and 63% fewer data were censored, so that the extent of animals' movements was better indicated by using ξ rather than NQ. Because use of ξ may lead to underestimating the number of long-range, short-term forays (especially when the frequency of forays is high relative to sampling frequency), potential bias should be considered before using ξ. Nonetheless, ξ should be a useful alternative to NQ in many animal-tracking studies.

Journal of Wildlife Management↗

USGS1991

Satellite telemetry: performance of animal-tracking systems

t: We used 10 Telonics ST-3 platform transmitter terminals (PTT's) configured for wolves and ungulates to examine the performance of the Argos satellite telemetry system. Under near-optimal conditions, 68 percentile errors for location qualities (NQ) 1, 2, and 3 were 1,188, 903, and 361 m, respectively. Errors (rE) exceeded expected values for NQ = 2 and 3, varied greatly among PTT's, increased as the difference (HE) between the estimated and actual PTT elevations increased, and were correlated nonlinearly with maximum satellite pass height (P,). We present a model of the relationships among rE, HE, and PH. Errors were bimodally distributed along the east-west axis and tended to occur away from the satellite when HE was positive. A southeasterly bias increased with HE, probably due to the particular distribution of satellite passes and effects of HE on rE. Under near-optimal conditions, 21 sensor message was received for up to 64% of available (PH, 50) satellite passes, and a location (NQ 2 1) was calculated for up to 63% of such passes. Sampling frequencies of sensor and location data declined 13 and 70%, respectively, for PTT's in a valley bottom and 65 and 86%, respectively, for PTT's on animals that were in valley bottoms. Sampling frequencies were greater for ungulate than for wolf collars.

Journal of Wildlife Management↗