forestGYM: Forest Growth and Yield Model Based on Clutter Model

The Clutter model is a significant forest growth simulation tool. Grounded on individual trees and comprehensively considering factors such as competition among trees and the impact of environmental elements on growth, it can accurately reflect the growth process of forest stands. It can be applied in areas like forest resource management, harvesting planning, and ecological research. With the help of the Clutter model, people can better understand the dynamic changes of forests and provide a scientific basis for rational forest management and protecting the ecological environment. This R package can effectively realize the construction of forest growth and harvest models based on the Clutter model and achieve optimized forest management.References: Farias A, Soares C, Leite H et al(2021)<doi:10.1007/s10342-021-01380-1>. Guera O, Silva J, Ferreira R, et al(2019)<doi:10.1590/2179-8087.038117>.

Version:	1.0.0
Depends:	R (≥ 3.5.0)
Imports:	gtools (≥ 3.8.5), stats (≥ 4.3.1)
Published:	2024-11-12
DOI:	10.32614/CRAN.package.forestGYM
Author:	Zongzheng Chai [aut, cre]
Maintainer:	Zongzheng Chai <chaizz at 126.com>
License:	GPL-2
NeedsCompilation:	no
CRAN checks:	forestGYM results

Documentation:

Reference manual:

forestGYM.pdf

Downloads:

Package source:	forestGYM_1.0.0.tar.gz
Windows binaries:	r-devel: forestGYM_1.0.0.zip, r-release: forestGYM_1.0.0.zip, r-oldrel: forestGYM_1.0.0.zip
macOS binaries:	r-release (arm64): forestGYM_1.0.0.tgz, r-oldrel (arm64): forestGYM_1.0.0.tgz, r-release (x86_64): forestGYM_1.0.0.tgz, r-oldrel (x86_64): forestGYM_1.0.0.tgz

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