Type: Package
Package: forestat
Title: Forest Carbon Sequestration and Potential Productivity
        Calculation
Version: 1.1.0
Authors@R: c(
    person("Liyong Fu", role = "aut", email = "fuly@ifrit.ac.cn"),
    person("Shirong Liu", role = "aut"),
    person("Shouzheng Tang", role = "aut"),
    person("Guangshuang Duan", role = "aut"),
    person("Zhong Wang", role = "aut", email = "zhongwang@dlut.edu.cn"),
    person("Linyan Feng", role = "aut"),
    person("Dongbo Xie", role = "aut"),
    person("Yuanyuan Han", role = c("aut", "cre"), email = "jackhanyuan@foxmail.com")
  )
Description: Include assessing site classes based on the stand height growth and establishing a nonlinear mixed-effect biomass model under different site classes based on the whole stand model to achieve more accurate estimation of carbon sequestration. In particular, a carbon sequestration potential productivity calculation method based on the potential mean annual increment is proposed. This package is applicable to both natural forests and plantations. It can quantitatively assess stand’s potential productivity, realized productivity, and possible improvement under certain site, and can be used in many aspects such as site quality assessment, tree species suitability evaluation, and forest degradation evaluation. Reference: Lei X, Fu L, Li H, et al (2018) <doi:10.11707/j.1001-7488.20181213>. Fu L, Sharma R P, Zhu G, et al (2017) <doi:10.3390/f8040119>.
License: GPL (>= 3)
Maintainer: Yuanyuan Han <jackhanyuan@foxmail.com>
URL: https://github.com/caf-ifrit/forestat
BugReports: https://github.com/caf-ifrit/forestat/issues
Repository: CRAN
Encoding: UTF-8
Language: en-US
LazyData: true
Depends: R (>= 3.5.0)
RoxygenNote: 7.2.3
Imports: dplyr, ggplot2, graphics, nlme, stats, rlang
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2023-10-10 05:33:47 UTC; jackhanyuan
Author: Liyong Fu [aut],
  Shirong Liu [aut],
  Shouzheng Tang [aut],
  Guangshuang Duan [aut],
  Zhong Wang [aut],
  Linyan Feng [aut],
  Dongbo Xie [aut],
  Yuanyuan Han [aut, cre]
Date/Publication: 2023-10-10 05:50:02 UTC
Built: R 4.6.0; ; 2026-04-29 02:51:55 UTC; unix
