WorldCat Identities

Zarnoch, Stanley J.

Works: 22 works in 65 publications in 1 language and 3,668 library holdings
Roles: Author
Classifications: SD11, E
Publication Timeline
Most widely held works by Stanley J Zarnoch
Stand basal-area and tree-diameter growth in red spruce-fir forests in Maine, 1960-80 by Stanley J Zarnoch( )

6 editions published in 1990 in English and held by 396 WorldCat member libraries worldwide

S2Stand basal area change and individual surviving red spruce d.b.h. growth from 1960 to 1980 were analyzed for red spruce-fir stands in Maine. Regression modeling was used to relate these measures of growth to stand and tree conditions and to compare growth throughout the period. Results indicate a decline in growth. The regression models helped identify trends and relationships but were not useful for predicting growth due to the tremendous amount of variability in the growth of red spruce-fir stands.S3
A pilot sampling design for estimating outdoor recreation site visits on the national forests( )

3 editions published in 2002 in English and held by 290 WorldCat member libraries worldwide

A pilot sampling design is described for estimating site visits to National Forest System lands. The three-stage sampling design consisted of national forest ranger districts, site days within ranger districts, and last-exiting recreation visitors within site days. Stratification was used at both the primary and secondary stages. Ranger districts were stratified based on Bailey's ecoregions, while site days were stratified based on site type, season, and day type. Statistical methodology is presented to derive site-visit estimates at the site day, ranger district, and national levels. Results are presented to illustrate the magnitude of the site-visit estimates, their variability, and confidence intervals. With such information, an evaluation of the stratification variables is presented using the design effect and the relative hypothetical efficiency. Sample size analysis is performed to provide recommendations for future sample surveys to meet specified levels of precision
Sampling and estimation procedures for the vegetation diversity and structure indicator by Bethany Schulz( )

2 editions published in 2009 in English and held by 270 WorldCat member libraries worldwide

The Vegetation Diversity and Structure Indicator (VEG) is an extensive inventory of vascular plants in the forests of the United States. The VEG indicator provides baseline data to assess trends in forest vascular plant species richness and composition, and the relative abundance and spatial distribution of those species, including invasive and introduced species. The VEG indicator is one of several sets of measures collected by the Forest Inventory and Analysis (FIA) Program of the USDA Forest Service to assess forest health. This document describes the sampling design, field data collection methods, primary output objectives, and estimation procedures for summarizing FIA VEG data
Comparison of past, present, and future volume estimation methods for Tennessee by Stanley J Zarnoch( )

4 editions published in 2003 in English and held by 265 WorldCat member libraries worldwide

An outdoor recreation use model with applications to evaluating survey estimators by Stanley J Zarnoch( )

3 editions published in 2005 in English and held by 264 WorldCat member libraries worldwide

"An outdoor recreation use simulator (ORUS) has been developed to simulate recreation survey data currently being obtained by the U.S. Department of Agriculture Forest Service, National Visitor Use Monitoring (NVUM) programs survey of the national forests of the United States. Statistical distributions represent the various behaviors of recreationists during their visit to a recreation site. The beta distribution is used to model arriving times and last-exiting times. The Poisson distribution is used to model the number of intermediate exits from the site, and the times of the exits are selected randomly according to the uniform distribution. Finally, three levels of trap shyness are assigned to the recreationists to quantify the probability that the recreationists will be captured by the interviewer. The beta distributions for arriving and last-exiting are parameterized to the NVUM survey data. The functioning of the simulator is demonstrated with a simple example. The utility of ORUS in evaluating the bias and coefficient of variation of various survey scenario estimators of recreation use is also presented."
Adjustments to forest inventory and analysis estimates of 2001 saw-log volumes for Kentucky by Stanley J Zarnoch( )

3 editions published in 2005 in English and held by 264 WorldCat member libraries worldwide

"The 2001 Kentucky Forest Inventory and Analysis survey overestimated hardwood saw-log volume in tree grade 1. This occurred because 2001 field crews classified too many trees as grade 1 trees. Data collected by quality assurance crews were used to generate two types of adjustments, one based on the proportion of trees misclassified and the other on the proportion of saw-log volume misclassified. Measures of variability for the estimated proportions were based on a cluster sampling design. Both methods significantly reduced estimated saw-log volume in tree grade 1. We believe that the saw-log volume approach is superior to the tree approach, but that both approaches generate improved estimates of tree grade saw-log volumes. The standard errors of the adjustment proportions are given and can be used to calculate standard errors of the adjusted values."
Determining sample size for tree utilization surveys by Stanley J Zarnoch( )

3 editions published in 2004 in English and held by 263 WorldCat member libraries worldwide

"The U.S. Department of Agriculture Forest Service has conducted many studies to determine what proportion of the timber harvested in the South is actually utilized. This paper describes the statistical methods used to determine required sample sizes for estimating utilization ratios for a required level of precision. The data used are those for 515 hardwood and 1,557 softwood trees harvested in east Texas and classified into 5 product types. Two-stage sampling was used to collect the utilization data. The primary units were the logging operation locations and the secondary units were the trees within locations. The ratio of means estimator was used to calculate each of three utilization ratios. How ever, for simplicity, the mean of ratios approach was used to develop the statistical methodology for estimating sample sizes for a specified level of precision, defined as half the width of the 95-percent confidence interval. The infinite population model was used and variance components for the two-stage nested analysis of variance were obtained using PROC MIXED. The three utilization ratios were computed for all product classes for hardwoods and softwoods, as were the standard errors and 95-percent confidence intervals. The variance components were then obtained and used to develop tables that yield sample size scenarios based on specified levels of precision."
Area-specific recreation use estimation using the National Visitor Use Monitoring Program data by Eric M White( )

4 editions published in 2007 in English and held by 256 WorldCat member libraries worldwide

Estimates of national forest recreation use are available at the national, regional, and forest levels via the USDA Forest Service National Visitor Use Monitoring (NVUM) program. In some resource planning and management applications, analysts desire recreation use estimates for subforest areas within an individual national forest or for subforest areas that combine portions of several national forests. In this research note we have detailed two approaches whereby the NVUM sampling data may be used to estimate recreation use for a subforest area within a single national forest or for a subforest area combining portions of more than one national forest. The approaches differ in their data requirements, complexity, and assumptions. In the "new forest" approach, recreation use is estimated by using NVUM data obtained only from NVUM interview sites within the area of interest. In the "all-forest information" approach, recreation use is estimated by using sample data gathered on all portions of the national forest(s) that contain the area of interest
Sampling throughfall and stemflow in young loblolly pine plantations by Stanley J Zarnoch( )

2 editions published in 2002 in English and held by 241 WorldCat member libraries worldwide

Appalachian National Scenic Trail pilot survey( )

2 editions published in 2011 in English and held by 236 WorldCat member libraries worldwide

Visitation statistics on the Appalachian National Scenic Trail (AT) are important for management and Federal Government reporting purposes. However, no survey methodology has been developed to obtain accurate trailwide estimates over linear trails that traverse many hundreds of back-country miles. This research develops a stratified random survey design which utilizes two survey instruments, exit-site tallies and a survey questionnaire, to obtain visitation estimates on a portion of the AT. The design identifies three components (standard site days, augmented site days, and special events) which can be used to subdivide the sampling frame into estimator types that lead to more efficient sampling and estimation processes. In addition, design-based and model-based approaches are used to obtain estimates for comparison purposes. The survey was performed from June 1 through August 14, 2007, on a 109-mile stretch of the AT from Harpers Ferry, WV, to 10 trail miles north of Boiling Springs, PA, at the Scott Farm. Visitation estimates were 66,967 for the design-based approach and 70,912 for the model-based approach, with coefficients of variation of 23 and 16 percent, respectively. Individual strata-level visitation estimates were quite variable and differed substantially between the two approaches. An extrapolation to the entire trail for the whole year was performed by developing an appropriate sampling frame from which the strata weights could be obtained. Using the model-based approach and assuming the survey data were representative, the 2007 annual visitation extrapolation for the entire trail was 1,948,701 with a coefficient of variation of 20 percent
The National Visitor Use Monitoring methodology and final results for round 1( )

2 editions published in 2011 in English and held by 232 WorldCat member libraries worldwide

A nationwide, systematic monitoring process has been developed to provide improved estimates of recreation visitation on National Forest System lands. Methodology is presented to provide estimates of site visits and national forest visits based on an onsite sampling design of site-days and last-exiting recreationists. Stratification of the site days, based on site type and use level, is used to improve the estimates by reducing variability. Forests are sampled on a 4-year cycle, with a fourth of the forests sampled each year. The site visit and national forest visit estimates for each of the 121 forests sampled in round 1 (2000 to 2003) are presented along with their coefficients of variation and 90-percent confidence intervals. In addition, these estimates are decomposed into their nonproxy, proxy, and Special Events components which provide a level of transparency important for understanding the estimation process and for building credibility among the users of these National Visitor Use Monitoring estimates. The concepts, equations, and data presented are reinforced by illustrating a typical analysis of the visitation estimation process for the Beaverhead-Deerlodge National Forest. This includes site- day characteristics of the nonproxy and proxy strata, information about the National Visitor Use Monitoring sampling process, and detailed calculation of the national forest visit estimate for the nonproxy, proxy, and Special Event components of the visitation estimate. The total national visitation estimate is the summation of all the individual forest visit estimates. The national site visit estimate for 2004 was 239,009,917 with a 90-percent confidence interval of 231,554,913 to 246,464,921 and a coefficient of variation of 1.90 percent. The national forest visit estimate, circa 2004, was 204,358,864 with a 90-percent confidence interval of 197,468,684 to 211,249,044 and a coefficient of variation of 2.05
Recreation and protected land resources in the United States : a technical document supporting the Forest Service 2010 RPA Assessment by H. Ken Cordell( )

2 editions published in 2013 in English and held by 209 WorldCat member libraries worldwide

This report provides an overview of the public and private land and water resources of the United States. Described is use of natural and developed land as recreation resources with an emphasis on nature-based recreation. Also described is land protection through conservation organizations and public funding programs, with an emphasis on protecting private land through funding for purchase or for conservation easements. Outdoor recreation resources include land, water, snow and ice, scenery, developed sites, facilities, and user services. Protected land resources range from farm lands to remote wilderness, but mostly are the undeveloped lands in the United States with various forms of protection status. The total U.S. land area is 2.43 billion acres, which contains 169 million acres of water, and consists of a diversity of land use and cover types. The United States loses about 2 million acres of forest, farm, and open space each year. In attempting to conserve such lands, land trusts and governments have instituted programs to obtain easements or purchase the land outright. The Federal Government holds in trust about 640 million acres of land (30 percent of the country's total land area). This includes national parks, national forests, national wildlife refuges, and other Federal agency ownerships. These lands, along with State and local government lands are important recreation resources serving the public interest. Private lands and recreation businesses are also important recreation resources. Projections to 2060 of per capita area of public and private land and water show a steady downward trend across all regions of the United States. For all appendix papers referenced in General Technical Report SRS-169 please use the following link: For all appendix tables referenced in General Technical Report SRS-169 please use the following link:
Growth and yield predictions for thinned and unthinned slash pine plantations on cutover sites in the west Gulf Region by La.) Southern Forest Experiment Station (New Orleans( Book )

6 editions published between 1991 and 1992 in English and held by 183 WorldCat member libraries worldwide

Growth and crown vigor of 25-year-old shortleaf pine progenies on a littleleaf disease site( Book )

4 editions published in 1994 in English and held by 152 WorldCat member libraries worldwide

Sampling open-top chambers and plantations for live fine-root biomass of loblolly pine( Book )

6 editions published in 1993 in English and held by 124 WorldCat member libraries worldwide

Multiple imputation : an application to income nonresponse in the National Survey on Recreation and the Environment by Stanley J Zarnoch( Book )

3 editions published in 2010 in English and held by 8 WorldCat member libraries worldwide

Multiple imputation is used to create values for missing family income data in the National Survey on Recreation and the Environment. We present an overview of the survey and a description of the missingness pattern for family income and other key variables. We create a logistic model for the multiple imputation process and to impute data sets for family income. We compare results between estimates of the income distribution based on no imputation, single imputation, and multiple imputation. Although the imputation methodology has been applied to the income variable, it is transferable as a general approach to dealing with item nonresponse for other variables in this and other survey studies
Testing hypotheses for differences between linear regression lines by Stanley J Zarnoch( Book )

3 editions published in 2009 in English and held by 5 WorldCat member libraries worldwide

Five hypotheses are identified for testing differences between simple linear regression lines. The distinctions between these hypotheses are based on a priori assumptions and illustrated with full and reduced models. The contrast approach is presented as an easy and complete method for testing for overall differences between the regressions and for making pairwise comparisons. Use of the Bonferroni adjustment to ensure a desired experimentwise type I error rate is emphasized. SAS software is used to illustrate application of these concepts to an artificial simulated dataset. The SAS code is provided for each of the five hypotheses and for the contrasts for the general test and all possible specific tests
Projecting county-level populations under three future scenarios : a technical document supporting the Forest Service 2010 RPA assessment( Book )

1 edition published in 2010 in English and held by 5 WorldCat member libraries worldwide

County-level population projections from 2010 to 2060 are developed under three national population growth scenarios for reporting in the 2010 Renewable Resources Planning Act (RPA) Assessment. These population growth scenarios are tied to global futures scenarios defined by the Intergovernmental Panel on Climate Change (IPCC), a program within the United Nations Environment Programme. The first of these scenarios, the A1/Census scenario, is equivalent to the current official U.S. Bureau of Census national projection, which, at the writing of this paper, extended to 2050. The second scenario, A2, is a higher population growth future, and the B2 scenario is a lower population growth future. The methodology for developing projections to 2060 is to disaggregate the above-mentioned national growth scenarios by using county shares of national population growth obtained from the Woods & Poole Economics Inc. projections of county populations from 2010 to 2030. A1/Census county projections from 2035 to 2060 are based on a recursive approach that extends past growth to project future growth, with adjustments to assure national additivity across counties and growth-dampening for the highest growth counties. The A2 and B2 county populations for 2010 to 2060 are derived from the A1/ Census county projection shares
Evaluation of estimators of population size based on simulation techniques by Stanley Joseph Zarnoch( )

3 editions published in 1976 in English and held by 2 WorldCat member libraries worldwide

Evaluating and predicting tree mortality associated with fusiform rust in merchantable slash and loblolly pine plantations by Roger P Belanger( Book )

1 edition published in 1991 in English and held by 1 WorldCat member library worldwide

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English (63)