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A database consisting of 2,640 equations compiled from the literature for predicting the biomass of trees and tree components from diameter measurements of species found in North America. Bibliographic information, geographic locations, diameter limits, diameter and biomass units, equation forms, statistical errors, and coefficients are provided for each equation, along with examples of how to use the database. The CD-ROM included with the paper version of this publication contains the complete database (Table 3) in spreadsheet format (Microsoft Excel 2002® with Windows XP®). The database files can also be viewed in both spreadsheet and pdf formats by directing your browser to the Global Change page at http://www.fs.fed.us/ne/global/pubs/books/index.html
SILVAH, FIBER, NE-TWIGS, and OAKSIM simulators, commonly used in the northeastern United States, were evaluated by comparing predicted stand development with actual stand development records for periods ranging from 15 to 50 years. Results varied with stand parameter, forest type, projection length, and geographic area. Except in the spruce-fir forest type where FIBER stands out as the best simulator, no single simulator is clearly superior to the others for all locations within a forest type. In general, FIBER, NE-TWIGS, and SILVAH performed best in the northern hardwood (beech- birch-maple) forest type; NE-TWIGS and SILVAH performed best in the Allegheny hardwood (cherry-maple) forest type; SILVAH and OAKSIM performed best in the oak- hickory forest type; and SILVAH was most suitable in the transition hardwood (mixture of northern hardwoods and oaks) forest type. The results give growth and yield model users more information for selecting the simulator most suitable for their particular needs. The results also can be used as a diagnostic tool for growth and yield model development.
Large numbers of sugar maple seed are dispersed every second or third year. Very little seed was damaged by insects or mammals prior to dispersal. The trapping methods used prevented major losses following seed fall. Seed production was positively correlated with tree diameter and density but not with age of seed trees.