Key algorithms used in GR02: A computer simulation model for predicting tree and stand growth

Garrett A. Hughes; Paul E. Sendak; Paul E. Sendak

doi:10.2737/NE-RP-570

Treesearch

Key algorithms used in GR02: A computer simulation model for predicting tree and stand growth

Informally Refereed

Authors:

Garrett A. Hughes, Paul E. Sendak, Paul E. Sendak

Year:

1985

Type:

Research Paper

Station:

Northern Research Station

DOI:

https://doi.org/10.2737/NE-RP-570

Source:

Res. Pap. NE-570. Broomall, PA: US. Department of Agriculture, Forest Service, Northeastern Forest Experiment Station. 17 p.

Download (PDF 1.04 MB)

Download (PDF 1.04 MB): https://research.fs.usda.gov/download/treesearch/21726.pdf

Abstract

GR02 is an individual tree, distance-independent simulation model for predicting tree and stand growth over time. It performs five major functions during each run: (1) updates diameter at breast height, (2) updates total height, (3) estimates mortality, (4) determines regeneration, and (5) updates crown class.

Keywords

forest growth, mortality, regeneration, volume estimation (stands), volume increment (stands), site index, crown class

Citation

Hughes, Garrett A.; Sendak, Paul E. 1985. Key algorithms used in GR02: A computer simulation model for predicting tree and stand growth. Res. Pap. NE-570. Broomall, PA: US. Department of Agriculture, Forest Service, Northeastern Forest Experiment Station. 17 p.