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  1. Introduction to Forest Growth and Yield

    Author(s):
    John W. Jr. Moser
    Year:
    1989
    Keywords:
    Forest Growth and Yield
    Source:
    In: Clark, F. Bryan, tech. ed.; Hutchinson, Jay G., ed. Central Hardwood Notes. St. Paul, MN: U.S. Department of Agriculture, Forest Service, North Central Forest Experiment Station.: Note 5.01.

  2. A compendium of forest growth and yield simulators for the Pacific coast states

    This manuscript provides information needed for the user to access current information about forest growth and yield simulators. Ultimately, the best source of information for any simulator is the user’s guide and the sage advice of those who built the simulator. In some instances, these people are easy to find and are willing to provide all the support for the program...

    Author(s):
    Martin W. Ritchie
    Year:
    1999
    Keywords:
    computer models, simulation
    Source:
    Gen. Tech. Rep. PSW-GTR-174. Albany CA: Pacific Southwest Research Station, Forest Service, U.S. Department of Agriculture; 59 p.

  3. Introduction to forest growth and yield

    Forests are dynamic communities that are constantly changing. To the casual observer, only the most obvious change, such as the death of a tree, may be discernible. However, other changes are continually occurring. Trees grow in both height and diameter. This is termed survivor growth. Ingrowth occurs when a tree's diameter grows larger than an arbitrarily...

    Author(s):
    John W., Jr. Moser
    Year:
    1989
    Keywords:
    Source:
    In: Hutchinson, Jay G., ed. Central hardwood notes. St. Paul, MN.: U.S. Dept. of Agriculture, Forest Service, North Central Forest Experiment Station. 5.01

  4. Comparison of an empirical forest growth and yield simulator and a forest gap simulator using actual 30-year growth from two even-aged forests in Kentucky

    Two individual-tree growth simulators are used to predict the growth and mortality on a 30-year-old forest site and an 80-year-old forest site in eastern Kentucky. The empirical growth and yield model (NE-TWIGS) was developed to simulate short-term (<50 year) forest growth from an industrial perspective. The gap model (ZELIG) is based on the theory of growth...

    Author(s):
    Daniel A. Yaussy
    Year:
    2000
    Keywords:
    NE-TWIGS, ZELIG, Validation
    Source:
    Forest Ecology and Management. 126(3): 385-398.

  5. Quantification and incorporation of uncertainty in forest growth and yield projections using a Bayesian probabilistic framework: A demonstration for plantation coastal Douglas-fir in the Pacific Northwest, USA

    A Bayesian probabilistic modeling platform was used and evaluated for application in a relatively complex individual-tree growth and yield model for coastal Douglas-fir (Pseudotsuga menziesii var. menziesii (Mirb.) Franco), which was expressed as a mixed discrete and continuous Bayesian Network for annual projections. The...

    Author(s):
    Duncan Wilson; Vicente Monleon; Aaron Weiskittel
    Year:
    2019
    Keywords:
    Forest growth and yield, error propagation, model uncertainty, error budgets, individual tree growth models, coastal Douglas-fir, Oregon, Washington.
    Source:
    Mathematical and Computational Forestry & Natural-Resource Sciences. 11(2): 264-285.

  6. Forest Growth and Yield Models Viewed From a Different Perspective

    Typically, when different forms of growth and yield models are considered, they are grouped into convenient discrete classes. As a heuristic device, I chose to use a contrasting perspective, that all growth and yield models are diameter distribution models that merely differ in regard to which diameter distribution is employed and how the distribution is projected to...

    Author(s):
    Jeffery C. Goelz
    Year:
    2002
    Keywords:
    Source:
    Math, Modeling and Sci. Comuting. 13(3-4): 177-189.

  7. A guide to the TWIGS program for the North Central United States.

    This is a complete reference to TWIGS, a forest growth-and-yield program with management and economic components developed for Lake and Central States tree species. The guide describes how TWIGS models growth and yield and how the model can be applied to obtain the best results. Step-by-step operating instructions are provided for TWIGS and its companion program,...

    Author(s):
    Cynthia L. Miner; Nancy R. Walters; Monique L. Belli
    Year:
    1988
    Keywords:
    growth and yield (simulation), forest stand management (simulation), economics, computer programs (forestry), silviculture, STEMS
    Source:
    General Technical Report NC-125. St. Paul, MN: U.S. Dept. of Agriculture, Forest Service, North Central Forest Experiment Station. 105 p.

  8. Modeling crown structural responses to competing vegetation control, thinning, fertilization, and Swiss needle cast in coastal Douglas-fir of the Pacific Northwest, USA.

    Crown structure is a key variable influencing stand productivity, but its reported response to various stand factors has differed. This can be partially attributed to lack of a unified study on crown response to intensive management or stand health. In this analysis of several Douglas-fir (Pseudotsuga menziesii var. menziesii [...

    Author(s):
    A.R. Weiskittel; D.A. Maguire; R.A. Monserud
    Year:
    2007
    Keywords:
    Fertilization, thinning, lumber grade, crown modeling, simulation
    Source:
    Forest Ecology and Management. 245: 96-109

  9. A Three-Step Approach To Model Tree Mortality in the State of Georgia

    Tree mortality is one of the most complex phenomena of forest growth and yield. Many types of factors affect tree mortality, which is considered difficult to predict. This study presents a new systematic approach to simulate tree mortality based on the integration of statistical models and geographical information systems. This method begins with variable preselection...

    Author(s):
    Qingmin Meng; Chris J. Cieszewski; Roger C. Lowe ; Michal Zasada
    Year:
    2005
    Keywords:
    Source:
    In: Proceedings of the fifth annual forest inventory and analysis symposium; 2003 November 18-20; New Orleans, LA. Gen. Tech. Rep. WO-69. Washington, DC: U.S. Department of Agriculture Forest Service. 222p.

  10. Validating the southern variant forest vegetation simulator height predictions on southeastern hardwoods in Kentucky and Tennessee

    The accuracy of forest growth and yield forecasts affects the quality of forest management decisions (Rauscher et al. 2000). Users of growth and yield models want assurance that model outputs are reasonable and mimic local/regional forest structure and composition and accurately reflect the influences of stand dynamics such as competition and disturbance. As such,...

    Author(s):
    Bernard R. Parresol; Steven C. Stedman
    Year:
    2004
    Keywords:
    Source:
    In: Joint 2004 annual general meeting and convention: 1-11

  11. Accuracy and equivalence testing of crown ratio models and assessment of their impact on diameter growth and basal area increment predictions of two variants of the Forest Vegetation Simulator

    Diameter growth (DG) equations in many existing forest growth and yield models use tree crown ratio (CR) as a predictor variable. Where CR is not measured, it is estimated from other measured variables. We evaluated CR estimation accuracy for the models in two Forest Vegetation Simulator variants: the exponential and the logistic CR models used in the North...

    Author(s):
    Laura P. Leites; Andrew P. Robinson; Nicholas L. Crookston
    Year:
    2009
    Keywords:
    diameter growth (DG), tree crown ratio (CR), models, Forest Vegetation Simulator
    Source:
    Canadian Journal of Forest Research. 39: 655-665.

  12. Analyzing the impacts of forest disturbance on individual tree diameter increment across the US Lake States

    Disturbances play a critical role in forest ecosystem dynamics. Disturbances cause changes in forest structure which in turn influence the species composition of the site and alter landscape patterns over time. The impacts of disturbance are seen over a broad spectrum of spatial scales and varying intensities, ranging from biotic agents such as insect and leaf disease...

    Author(s):
    Macklin J. Glasby; Matthew B. Russell; Grant M. Domke
    Year:
    2019
    Keywords:
    Tree growth, Growth and yield, Validation, Forest Inventory and Analysis
    Source:
    Environmental Monitoring and Assessment

  13. ArcFuels User Guide and Tutorial: for use with ArcGIS 9

    Fuel management planning can be a complex problem that is assisted by fire behavior modeling and geospatial analyses. Fuel management often is a particularly complicated process in which the benefits and potential impacts of fuel treatments need to be demonstrated in the context of land management goals and public expectations. Fire intensity, likelihood, and effects...

    Author(s):
    Nicole M. Vaillant; Alan A. Ager; John Anderson; Lauren Miller
    Year:
    2013
    Keywords:
    ArcGIS, fire behavior models, forest growth models, fuel treatment planning, wildfire hazard, wildfire risk
    Source:
    Gen. Tech. Rep. PNWGTR-877. Portland, OR: U.S. Department of Agriculture, Forest Service, PacificNorthwest Research Station. 256 p.

  14. The survival of Pinus ponderosa saplings subjected to increasing levels of fire behavior and impacts on post‐fire growth

    Improved predictions of tree species mortality and growth metrics following fires are important to assess fire impacts on forest succession, and ultimately forest growth and yield. Recent studies have shown that North American conifers exhibit a ‘toxicological dose‐response’ relationship between fire behavior and the resultant mortality or recovery of the trees. Prior...

    Author(s):
    Wade D. Steady; Raquel Partelli Feltrin; Daniel M. Johnson; Aaron M. Sparks; Crystal A. Kolden; Alan F. Talhelm; James A. Lutz; Luigi Boschetti; Andrew T. Hudak; Andrew S. Nelson; Alistair M. S. Smith
    Year:
    2019
    Keywords:
    fire severity, growth, yield, succession
    Source:
    Fire. 2: 23.

  15. The past and future of modeling forest dynamics: from growth and yield curves to forest landscape models

    Context. Quantitative models of forest dynamics have followed a progression toward methods with increased detail, complexity, and spatial extent. Objectives. We highlight milestones in the development of forest dynamics models and identify future research and application opportunities. Methods. We reviewed...

    Author(s):
    Stephen R. Shifley; Hong S. He; Heike Lischke; Wen J. Wang; Wenchi Jin; Eric J. Gustafson; Jonathan R. Thompson; Frank R. Thompson; William D. Dijak; Jian Yang
    Year:
    2017
    Keywords:
    Process model, Individual-tree model, Gap model, Model validation, Ecosystem services, LANDIS, TreeMig, Forest Vegetation Simulator
    Source:
    Landscape Ecology
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