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
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: 2026-06-19 07:25:16 UTC; root
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]
Repository: https://caf-ifrit.r-universe.dev
Date/Publication: 2024-02-20 13:45:10 UTC
RemoteUrl: https://github.com/caf-ifrit/forestat
RemoteRef: HEAD
RemoteSha: 81a43c1ef8859ae247f59b7a346a5b0958d0db83
RemoteSubdir: forestat