Package: forestat 1.1.0

Yuanyuan Han

forestat: Forest Carbon Sequestration and Potential Productivity Calculation

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>.

Authors: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]

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NEWS

# Install 'forestat' in R:
install.packages('forestat', repos = c('https://caf-ifrit.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/caf-ifrit/forestat/issues

Datasets:
  • forestData - Mixed birch-broadleaf forest data
  • plot_1 - 1st period sample plot survey data
  • plot_2 - 2nd period sample plot survey data
  • plot_3 - 3rd period sample plot survey data
  • tree_1 - 1st period trees survey data
  • tree_2 - 2nd period trees survey data
  • tree_3 - 3rd period trees survey data

On CRAN:

5 exports 12 stars 1.81 score 31 dependencies 6 scripts 224 downloads

Last updated 7 months agofrom:81a43c1ef8. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKAug 22 2024
R-4.5-winOKAug 22 2024
R-4.5-linuxOKAug 22 2024
R-4.4-winOKAug 22 2024
R-4.4-macOKAug 22 2024
R-4.3-winOKAug 22 2024
R-4.3-macOKAug 22 2024

Exports:calc_degraded_forest_gradeclass.plotdegraded_forest_preprocesspotential.productivityrealized.productivity

Dependencies:clicolorspacedplyrfansifarvergenericsggplot2gluegtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigR6RColorBrewerrlangscalestibbletidyselectutf8vctrsviridisLitewithr

Forest Carbon Sequestration and Potential Productivity Calculation

Rendered fromforestat.Rmdusingknitr::rmarkdownon Aug 22 2024.

Last update: 2023-10-07
Started: 2023-06-24