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Dive into the research topics where Corey A. Moffet is active.

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Featured researches published by Corey A. Moffet.


Ecology | 2011

Climate influences the demography of three dominant sagebrush steppe plants

Harmony J. Dalgleish; David N. Koons; Mevin B. Hooten; Corey A. Moffet; Peter B. Adler

Climate change could alter the population growth of dominant species, leading to profound effects on community structure and ecosystem dynamics. Understanding the links between historical variation in climate and population vital rates (survival, growth, recruitment) is one way to predict the impact of future climate change. Using a unique, long-term data set from eastern Idaho, USA, we parameterized integral projection models (IPMs) for Pseudoroegneria spicata, Hesperostipa comata, and Artemisia tripartita to identify the demographic rates and climate variables most important for population growth. We described survival, growth, and recruitment as a function of genet size using mixed-effect regression models that incorporated climate variables. Elasticites for the survival + growth portion of the kernel were larger than the recruitment portion for all three species, with survival + growth accounting for 87-95% of the total elasticity. The genet sizes with the highest elasticity values in each species were very close to the genet size threshold where survival approached 100%. We found strong effects of climate on the population growth rate of two of our three species. In H. comata, a 1% decrease in previous years precipitation would lead to a 0.6% decrease in population growth. In A. tripartita, a 1% increase in summer temperature would result in a 1.3% increase in population growth. In both H. comata and A. tripartita, climate influenced population growth by affecting genet growth more than survival or recruitment. Late-winter snow was the most important climate variable for P. spicata, but its effect on population growth was smaller than the climate effects we found in H. comata or A. tripartita. For all three species, demographic responses lagged climate by at least one year. Our analysis indicates that understanding climate effects on genet growth may be crucial for anticipating future changes in the structure and function of sagebrush steppe vegetation.


Journal of Animal Science | 2008

B-mode, real-time ultrasound for estimating carcass measures in live sheep: Accuracy of ultrasound measures and their relationships with carcass yield and value,

Timothy D. Leeds; M. R. Mousel; D. R. Notter; H. N. Zerby; Corey A. Moffet; Gregory S. Lewis

Accuracy and repeatability of live-animal ultrasound measures, and the relationships of these measures with subprimal yields and carcass value, were investigated using data from 172 wethers. Wethers were F(1) progeny from the mating of 4 terminal sire breeds to Rambouillet ewes and were finished in a feedlot to a mean BW of 62.9 kg (SD = 9.5 kg). Before transport to slaughter, LM area, LM depth, and backfat thickness were measured from transverse ultrasound images taken between the 12th and 13th ribs. After slaughter, these measures were taken on each carcass. Carcasses were fabricated into subprimal cuts, and weights were recorded. Ultrasound accuracy and repeatability were assessed using bias, SE of prediction, SE of repeatability, and simple correlations. Relationships among ultrasound and carcass measures, and between these measures and carcass yield and value, were evaluated using residual correlations and linear prediction models. Ultrasound bias approached 0 for LM area, and backfat thickness was overestimated by only 0.69 mm. The SE of prediction and r were 1.55 cm(2) and 0.75 for LM area, and 1.4 mm and 0.81 for backfat thickness, respectively. The SE of repeatability was 1.31 cm(2) and 0.75 mm for LM area and backfat thickness, respectively. At a standardized BW and backfat thickness, wethers with larger LM area and LM depth yielded larger and more valuable carcasses, and these relationships were detectable with ultrasound. For each SD increase in carcass LM area, dressing percentage increased 1.57 percentage points, gross carcass value increased US


Ecology | 2010

Mapped quadrats in sagebrush steppe: long-term data for analyzing demographic rates and plant-plant interactions.

Luke Zachmann; Corey A. Moffet; Peter B. Adler

5.12, and boxed carcass value increased US


Rangeland Ecology & Management | 2013

Hydrothermal Assessment of Temporal Variability in Seedbed Microclimate

Stuart P. Hardegree; Corey A. Moffet; Gerald N. Flerchinger; Jaepil Cho; Bruce A. Roundy; Thomas A. Jones; Jeremy J. James; Patrick E. Clark; Frederick B. Pierson

6.84 (P < 0.001). For each SD increase in ultrasound LM area, dressing percentage increased 0.95 percentage points, gross carcass value increased US


Archive | 2007

Erosion Risk Management Tool (ERMiT) user manual (version 2006.01.18)

Peter R. Robichaud; William J. Elliot; Fredrick B. Pierson; David E. Hall; Corey A. Moffet; Louise E. Ashmun

3.15, and boxed carcass value increased US


Journal of Animal Science | 2008

Evaluation of three-ram cohort serving capacity tests as a substitute for individual serving capacity tests 1,2

J. N. Stellflug; Gregory S. Lewis; Corey A. Moffet; Timothy D. Leeds

3.86 (P < 0.001). When LM area effects were adjusted for carcass weight, the response in boxed carcass value attributed to disproportionate increases in high-value subprimal cut weights was small. Associations of dressing percentage and carcass value with ultrasound and carcass LM depth were significant (P < 0.01) but smaller than corresponding associations with LM area. These data indicate biological and economical incentives for increasing LM area in wethers, and live-animal ultrasound can provide reliable estimates of carcass measures. These results are applicable to terminal sire breeders and producers who market sheep using carcass-merit pricing systems.


Rangeland Ecology & Management | 2008

Point Sampling to Stratify Biomass Variability in Sagebrush Steppe Vegetation

Patrick E. Clark; Stuart P. Hardegree; Corey A. Moffet; Fredrick B. Pierson

This historical data set consists of 26 permanent 1-m2 quadrats located on sagebrush steppe in eastern Idaho, USA. During most growing seasons from 1923 to 1957, and again in 1973, all individual plants in each quadrat were identified and mapped. This combination of a long time-series with full spatial resolution allows analyses of demographic processes and intra- and interspecific interactions among individual plants. The data provide unique opportunities to test theory about the effect of environmental variation on population and community dynamics and to describe empirical relationships between climate variables and demographic rates. We provide the following data and data formats: (1) the digitized maps in shapefile format; (2) a tabular version of the entire data set (a table with no spatial information except an x,y coordinate for each individual plant record); (3) a species list, containing information on plant growth forms and shapefile geometry type; (4) a record of changes to species names; (5) quadrat information; (6) grazing treatment information; (7) an inventory of the years each quadrat was sampled; (8) monthly precipitation, temperature, and snowfall records; and (9) counts of annuals in the quadrats. The complete data sets corresponding to abstracts published in the Data Papers section of the journal are published electronically in Ecological Archives at 〈http://esapubs.org/archive〉. (The accession number for each Data Paper is given directly beneath the title.)


Applied and Environmental Soil Science | 2011

Biosolids Effects in Chihuahuan Desert Rangelands: A Ten-Year Study

David B. Wester; Ronald E. Sosebee; Richard E. Zartman; Ernest B. Fish; J. Carlos Villalobos; Ricardo Mata-González; Pedro Jurado; Corey A. Moffet

Abstract The microclimatic requirements for successful seedling establishment are much more restrictive than those required for adult plant survival. The purpose of the current study was to use hydrothermal germination models and a soil energy and water flux model to evaluate intra- and interannual variability in seedbed microclimate relative to potential germination response of six perennial grasses and cheatgrass. We used a 44-yr weather record to parameterize a seedbed microclimate model for estimation of hourly temperature and moisture at seeding depth for a sandy loam soil type at the Orchard Field Test Site in southwestern Ada County, Idaho. Hydrothermal germination response was measured in the laboratory for two seed lots of cheatgrass (Bromus tectorum L.), four seed lots of bluebunch wheatgrass (Pseudoroegneria spicata [Pursh] Löve), three seed lots of bottlebrush squirreltail (Elymus elymoides [Raf] Swezey), and one seed lot each of Sandberg bluegrass (Poa secunda J. Presl.), big squirreltail (Elymus multisetus [J.G. Smith] M.E. Jones), thickspike wheatgrass (Elymus lanceolatus [Scribn. And J.G. Smith] Gould) and Idaho fescue (Festuca idahoensis Elmer). Germination response models were developed to estimate potential germination rate for 13 subpopulations of each seed lot for every hour of the 44-yr simulation. Seedbed microclimate was assessed seasonally and for each day, month, and year, and germination rate-sum estimates integrated for a numerical index of relative site favorability for germination for each time period. The rate-sum favorability index showed a consistent pattern among seed lots for different years, and provides a relatively sensitive indicator of annual and seasonal variability in seedbed microclimate. This index could be used with field data to define minimum weather thresholds for successful establishment of alternative plant materials, in conjunction with weather forecast models for making restoration and fire-rehabilitation management decisions in the fall season, for evaluation of potential climate-change impacts on plant community trajectories, and in optimization schemes for selecting among alternative restoration/rehabilitation management scenarios.


Rangeland Ecology & Management | 2018

Weather-Centric Rangeland Revegetation Planning☆

Stuart P. Hardegree; John T. Abatzoglou; Mark W. Brunson; Matthew J. Germino; Katherine C. Hegewisch; Corey A. Moffet; David S. Pilliod; Bruce A. Roundy; Alex Boehm; Gwendwr R. Meredith

The decision of where, when, and how to apply the most effective post-fire erosion mitigation treatments requires land managers to assess the risk of damaging runoff and erosion events occurring after a fire. To aid in this assessment, the Erosion Risk Management Tool (ERMiT) was developed. This user manual describes the input parameters, input interface, model processing, and output files for version 2006.01.18. ERMiT is a web-based application that uses Water Erosion Prediction Project (WEPP) technology to estimate erosion, in probabilistic terms, on burned and recovering forest, range, and chaparral lands with and without the application of erosion mitigation treatments. User inputs are processed by ERMiT to combine rain event variability with spatial and temporal variabilities of soil burn severity and soil properties, which are then used as WEPP input parameters. Based on 20 to 40 individual WEPP runs, ERMiT produces a distribution of rain event sediment delivery rates with a probability of occurrence for each of five post-fire years. In addition, event sediment delivery rate distributions are generated for post-fire hillslopes that have been treated with seeding, straw mulch, and erosion barriers such as contour-felled logs or straw wattles.


Applied and Environmental Soil Science | 2012

Influence of Surface Biosolids Application on Infiltration

Richard E. Zartman; Corey A. Moffet; David B. Wester; Ronald E. Sosebee; Ernest B. Fish; William F. Jaynes

Alternatives to time-consuming, laborious individual serving capacity tests (ISCT) are needed to classify ram sexual behavior. The objective of study 1 was to evaluate the relationship between the first 3-ram cohort test (COSCT) scores and the mean of 5 ISCT scores. The objective of study 2 was to determine whether 1 or 2 additional COSCT improved the ability to predict ISCT scores. For study 1, rams (n = 69) were assigned to either a COSCT given before or after 9 ISCT. For study 2, rams (n = 127) were given 3 COSCT before or after 6 ISCT. For repeated COSCT, rams were initially grouped at random and subsequently rerandomized so that each ram was grouped with at least 1 different ram for each test. For both studies, the number of ejaculations from COSCT was compared with the mean number of ejaculations across the second through sixth ISCT. A threshold between high- and low-performing rams was defined in each analysis as the mean ISCT scores of sexually active rams. Rams with a mean number of ejaculations in ISCT greater than the threshold were classified as having high sexual activity, whereas rams below the threshold were classified as having low sexual activity. Rams with no ejaculations in ISCT were classified as sexually inactive. Data from studies 1 and 2 were used to evaluate the relationship between the first COSCT and the mean of 5 ISCT scores. Data from multiple COSCT were fit to various models to determine whether the ability to predict ISCT scores was improved with 1 or 2 additional COSCT. The best model for ISCT and COSCT was a piecewise linear regression model. The first COSCT correctly identified all sexually inactive rams in both studies. The first COSCT, however, also classified 56% of low sexually active rams and 18% of high sexually active rams as inactive. Rams had a 71% probability of high sexual activity in ISCT if they were classified as sexually active in the first COSCT. We conclude that a single COSCT is a reliable, albeit more conservative, and efficient alternative to a series of ISCT for characterizing sexual activity of rams. Multiple COSCT can provide some protection against culling rams with high sexual activity (i.e., approximately 50% less with 2 additional COSCT) and still retain most of the efficiency compared with ISCT. It is important to use high-performance rams for breeding because they will approximately double the number of ewes bred and lambs sired compared with low-performance rams if a large number of ewes need to be serviced daily.

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Frederick B. Pierson

Agricultural Research Service

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Peter R. Robichaud

United States Department of Agriculture

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Stuart P. Hardegree

United States Department of Agriculture

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Fredrick B. Pierson

United States Department of Agriculture

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Kenneth E. Spaeth

United States Department of Agriculture

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Patrick E. Clark

Agricultural Research Service

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David E. Hall

United States Department of Agriculture

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Stacey A. Gunter

Agricultural Research Service

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William J. Elliot

United States Department of Agriculture

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