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33 results found
Yield and stand structure predictions from an unthinned loblolly pine plantation yield prediction system (USLYCOWG computer program) were compared with observations from 80 unthinned loblolly pine plots. Overall, the predicted estimates were reasonable when compared to observed values, but…
Author(s): V. Clark Baldwin, D.P. Feduccia
Keywords: Pinus taeda, validation, volume prediction, unthinned plantation yields
Source: Res. Note SO-283. New Orleans, LA: U.S. Department of Agriculture, Forest Service, Southern Forest Experiment Station. 5 p.
Year: 1982
To assess what difference it might make to include spatially defined estimates of foliar nitrogen in the regional application of a forest ecosystem model (PnET-II), we composed model predictions of wood production from extensive ground-based forest inventory analysis data across the Mid-Atlantic…
Author(s): Yude Pan, John Hom, Jennifer Jenkins, Richard Birdsey
Keywords: Wood production, forest inventory and analysis data (FIA), validation, ecosystem model, PnET-II
Source: Forest Science. 50(3): 279-289.
Year: 2004
Models of forest vegetation dynamics based on characteristics of individual trees are more suitable to predicting growth of multiple species and age classes than those based on stands. The objective of this study was to assess age- and site index-independent relationships between periodic diameter…
Author(s): Henry W. Mcnab, Thomas F. Lloyd
Keywords: accuracy, bias, competition, deciduous trees, diameter growth models, height-diameter relationships, validation
Source: Proceedings First International Conference on Measurements and Quantitative Methods and Management & The 1999 Southern Mensurationists Meeting. p 172-189
Year: 1999
Estimating ground-based timber harvesting systems production with an object oriented methodology was investigated. The estimation model developed generates stands of trees, simulates chain saw, drive-to-tree feller-buncher, swing-to-tree single-grip harvester felling, and grapple skidder and…
Author(s): Jingxin Wang, Chris B. LeDoux
Keywords: logging, timber harvesting, forest operations, cost, production, validation
Source: Forest Science. 49(1): 64-76.
Year: 2003
An updated version of the Lake States variant of STEMS is evaluated and compared with the previous version. The new version is slightly more accurate and precise. The strengths and weaknesses of this tree growth projection system are also identified.
Author(s): Margaret R. Holdaway, Gary J. Brand
Keywords: validation, testing growth model, prediction errors, model performance
Source: Research Paper NC-269. St. Paul, MN: U.S. Dept. of Agriculture, Forest Service, North Central Forest Experiment Station
Year: 1986
This paper describes STEMS (Stand and Tree Evaluation and Modeling System), the current computerized Lake State tree growth projection system. It presents the program structure, discusses the growth and mortality components, the management subsystem, and the regeneration subsystem. Some…
Author(s): David M. Belcher, Margaret R. Holdaway, Gary J. Brand
Keywords: simulation, Lake States species, mortality model, regeneration model, management guides, growth model, projection system, FORTRAN, validation
Source: General Technical Report NC-79. St. Paul, MN: U.S. Dept. of Agriculture, Forest Service, North Central Forest Experiment Station
Year: 1982
STEMS (Stand and Tree Evaluation and Modeling System) is a tree growth projection system. This paper (1) compares the performance of the current version of STEMS developed for the Lake States with that of the original model and (2) reports the results of an analysis of the current model over a…
Author(s): Margaret R. Holdaway, Gary J. Brand
Keywords: validation, testing, growth model, Lake States species, verification
Source: Research Paper NC-234. St. Paul, MN: U.S. Dept. of Agriculture, Forest Service, North Central Forest Experiment Station. 20 p.
Year: 1983
Resistance-surface-based connectivity modeling has become a widespread tool for conservation planning. The current ease with which connectivity models can be created, however, masks the numerous untested assumptions underlying both the rules that produce the resistance surface and the algorithms…
Author(s): Alisa A. Wade, Kevin S. McKelvey, Michael K. Schwartz
Keywords: connectivity, resistance surface, least-cost path, cost distance modeling, validation, models, conservation
Source: Gen. Tech. Rep. RMRS-GTR-333. Fort Collins, CO: U.S. Department of Agriculture, Forest Service, Rocky Mountain Research Station. 93 p.
Year: 2015
Information on land cover at global and continental scales is critical for addressing a range of ecological, socioeconomic and policy questions. Global land cover maps have evolved rapidly in the last decade, but efforts to evaluate map uncertainties have been limited, especially in remote areas…
Author(s): Dirk Pflugmacher, Olga N. Krankina, Warren B. Cohen, Mark A. Friedl, Damien Sulla-Menashe, Robert E. Kennedy, Peder Nelson, Tatiana V. Loboda, Tobias Kuemmerle, Egor Dyukarev, Vladimir Elsadov, Viacheslav I. Kharuk
Keywords: Eurasia, land cover, global, validation, GLC-2000, GLOBCOVER, MODIS, LCCS
Source: Remote Sensing of Environment. 115: 3539-3553
Year: 2011
Accurate landscape-scale maps of forests and associated disturbances are critical to augment studies on biodiversity, ecosystem services, and the carbon cycle, especially in terms of understanding how the spatial and temporal complexities of damage sustained from disturbances influence forest…
Author(s): Kirk M. Stueve, Ian W. Housman, Patrick L. Zimmerman, Mark D. Nelson, Jeremy B. Webb, Charles H. Perry, Robert A. Chastain, Dale D. Gormanson, Chengquan Huang, Sean P. Healey, Warren B. Cohen
Keywords: Eastern deciduous forest, automated disturbance mapping, forest disturbance commission errors, Landsat time series stacks, Great Lakes, mixed northern hardwoods, satellite remote sensing, snow, Southern boreal forest, validation, vegetation change tracker, winter
Source: Remote Sensing of Environment. 115: 3203-3219
Year: 2011
https://www.fs.usda.gov/treesearch/search/query?f%5B0%5D=publication_keywords%3Avalidation