Citation: | He Xiao, Lei Xiangdong, Zhou Chaofan, Duan Guangshuang, Zhou Mengli, Shi Jingning. Application of R program package ForestStatTool in statistics of individual tree and stand factors in forestry[J]. Journal of Beijing Forestry University, 2024, 46(10): 125-135. DOI: 10.12171/j.1000-1522.20240076 |
To achieve fast, accurate calculation of individual tree and stand factors in forestry, a general R program package called ForestStatTool was developed. Specific examples were provided to demonstrate its application in statistical calculation of individual tree and stand factors in forestry.
In the R environment, 12 practical functions were developed, covering 7 categories including duplicated labels processing, duplicated coordinates processing, plot segmentation, spatial structure index calculation, competition index calculation, biodiversity index calculation, and stand factor calculation. Using data from a 0.06 ha circular sample plot of Platycladus orientalis pure forest in Beijing’s Shisanling Forest Farm and a 1 ha square big sample plot of spruce-fir conifer-broadleaf mixed forest in the Jingouling Forest Farm, Wangqing Forestry Bureau, Jilin Province of northeastern China, the main functions and usage of ForestStatTool package were demonstrated.
Through the analysis of various sample plot data using ForestStatTool package, spatial structure, competition index, biodiversity and other indicators were successfully calculated. The results indicated that the package can effectively identify tree spatial distribution characteristics, quantify tree competition pressure, and reveal stand structure and diversity features. This tool is able to quickly handle the statistical analysis of large and complex sample plots, making it suitable for various forestry applications.
ForestStatTool package can enable convenient, fast, accurate data checking and preprocessing, and complete the calculation of multiple individual tree and stand factors in forestry. It can be applied in the fields such as forest management, silviculture, and forest ecology.
[1] |
沈剑波, 雷渊才, 王功明, 等. 面向县级林业的数据集成技术研究[J]. 计算机应用与软件, 2018, 35(6): 64−69. doi: 10.3969/j.issn.1000-386x.2018.06.011
Shen J B, Lei Y C, Wang G M, et al. Research on technology of forestry data integration for county-level[J]. Computer Applications and Software, 2018, 35(6): 64−69. doi: 10.3969/j.issn.1000-386x.2018.06.011
|
[2] |
孟黎黎, 陆元昌, 赵天忠, 等. 近自然森林经营目标树作业体系辅助设计系统的研究与开发[J]. 世界科技研究与发展, 2007, 29(3): 66−70. doi: 10.3969/j.issn.1006-6055.2007.03.012
Meng L L, Lu Y C, Zhao T Z, et al. Development of a supporting system of target tree oriented stand operation for practice of close to natural forest management[J]. World Sci-Tech R & D, 2007, 29(3): 66−70. doi: 10.3969/j.issn.1006-6055.2007.03.012
|
[3] |
孙建军, 雷相东, 洪玲霞, 等. 通用森林样地调查统计分析系统设计与开发[J]. 计算机技术与发展, 2009, 19(8): 193−196. doi: 10.3969/j.issn.1673-629X.2009.08.054
Sun J J, Lei X D, Hong L X, et al. Design and development of universal forest sample plot statistical analysis system[J]. Computer Technology and Development, 2009, 19(8): 193−196. doi: 10.3969/j.issn.1673-629X.2009.08.054
|
[4] |
国红, 尤磊, 雷相东, 等. 多期森林调查样地数据的逻辑检查方法研究[J]. 林业资源管理, 2019(5): 84−88.
Guo H, You L, Lei X D, et al. Research on logical checking methods for plot data of multi-period forest investigation[J]. Forest Resources Management, 2019(5): 84−88.
|
[5] |
Dixon P. VEGAN, a package of R functions for community ecology[J]. Journal of Vegetation Science, 2003, 14(6): 927−930. doi: 10.1111/j.1654-1103.2003.tb02228.x
|
[6] |
Lai J, Zhu W, Cui D, et al. The use of R in forestry research[J]. Journal of Plant Ecology, 2023, 16(6): 47.
|
[7] |
Atkins J W, Stovall A E, Silva C A. Open-source tools in R for forestry and forest ecology[J]. Forest Ecology and Management, 2022, 503: 119813. doi: 10.1016/j.foreco.2021.119813
|
[8] |
Stanke H, Finley A O, Weed A S, et al. rFIA: an R package for estimation of forest attributes with the US Forest Inventory and Analysis Database[J]. Environmental Modelling & Software, 2020, 127: 104664.
|
[9] |
Wu H, Sun S, Forrester D I, et al. StemAnalysis: an R-package for reconstructing tree growth and carbon accumulation with stem analysis data[J]. Computers and Electronics in Agriculture, 2023, 210: 107924. doi: 10.1016/j.compag.2023.107924
|
[10] |
Shi J, Xiang W, Liu Q, et al. MtreeRing: an R package with graphical user interface for automatic measurement of tree ring widths using image processing techniques[J]. Dendrochronologia, 2019, 58: 125644. doi: 10.1016/j.dendro.2019.125644
|
[11] |
Xie D, Feng L, Yan X, et al. Forestat: an R package for computing forest carbon sequestration and potential productivity[J]. Ecological Indicators, 2024, 166: 112477.
|
[12] |
Pavoine S. Adiv: an R package to analyse biodiversity in ecology[J]. Methods in Ecology and Evolution, 2020, 11(9): 1106−1112. doi: 10.1111/2041-210X.13430
|
[13] |
柴宗政. 基于相邻木关系的森林空间结构量化评价及 R 语言编程实现[D]. 杨凌: 西北农林科技大学, 2016.
Chai Z Z. Quantitative evaluation and R programming of forest spatial structure based on the relationship of neighborhood trees[D]. Yangling: Northwest A&F University, 2016.
|
[14] |
蒲莹, 曾伟生, 阳帆. 北京市树高胸径回归模型研建及一元立木材积表检验[J]. 林业资源管理, 2021(3): 62−66.
Pu Y, Zeng W S, Yang F. Tree height-diameter regression models development and one-variable tree volume tables examination in Beijing[J]. Forest Resources Management, 2021(3): 62−66.
|
[15] |
周国逸, 尹光彩, 唐旭利. 中国森林生态系统碳储量——生物量方程[M]. 北京: 科学出版社, 2018.
Zhou G Y, Yin G C, Tang X L. Carbon storage in forest ecosystems in China: biomass equation[M]. Beijing: Science Press , 2018.
|
[16] |
惠刚盈, 赵中华, 胡艳波, 等. 基于结构参数均值的林分空间结构综合评价研究[J]. 林业科学研究, 2023, 36(2): 12−21. doi: 10.12403/j.1001-1498.20220432
Hui G Y, Zhao Z H, Hu Y B, et al. Comprehensive evaluation of forest spatial structure based on the mean values of structural parameters[J]. Forest Research, 2023, 36(2): 12−21. doi: 10.12403/j.1001-1498.20220432
|
[17] |
雷相东, 唐守正. 林分结构多样性指标研究综述[J]. 林业科学, 2002, 38(3): 140−146. doi: 10.3321/j.issn:1001-7488.2002.03.025
Lei X D, Tang S Z. Indicators on structural diversity within-stand: a review[J]. Scientia Silvae Sinicae, 2002, 38(3): 140−146. doi: 10.3321/j.issn:1001-7488.2002.03.025
|
[1] | Deng Xiangpeng, Xu Fangze, Zhao Shanchao, Xiang Wei. Tree height-DBH model for Picea schrenkiana in Tianshan Mountain, Xinjiang of northwestern China based on Bayesian method[J]. Journal of Beijing Forestry University, 2023, 45(1): 11-20. DOI: 10.12171/j.1000-1522.20220318 |
[2] | Liang Ruiting, Sun Yujun, Zhou Lai. Modeling variable exponential taper function for Cunninghamia lanceolata based on quantile regression[J]. Journal of Beijing Forestry University, 2021, 43(7): 70-78. DOI: 10.12171/j.1000-1522.20200253 |
[3] | Ge Huishuo, Song Yuepeng, Su Xuehui, Zhang Deqiang, Zhang Xiaoyu. Optimal growth model of Populus simonii seedling combination based on Logistic and Gompertz models[J]. Journal of Beijing Forestry University, 2020, 42(5): 59-70. DOI: 10.12171/j.1000-1522.20190296 |
[4] | Yao Dandan, Xu Qigang, Yan Xiaowang, Li Yutang. Individual-tree mortality model of Mongolian oak forests based on Bayesian method[J]. Journal of Beijing Forestry University, 2019, 41(9): 1-8. DOI: 10.13332/j.1000-1522.20180260 |
[5] | Gong Da-peng, Kang Feng-feng, Liu Xiao-dong. Spatial and temporal distribution patterns of grassland fire and its response to meteorological factors in XinBarag Prairie of northwestern China[J]. Journal of Beijing Forestry University, 2018, 40(2): 82-89. DOI: 10.13332/j.1000-1522.20170402 |
[6] | YAO Dan-dan, LEI Xiang-dong, ZHANG Ze-lu. Bayesian parameter estimation of dominant height growth model for Changbai larch (Larix olgensis Henry) plantations[J]. Journal of Beijing Forestry University, 2015, 37(3): 94-100. DOI: 10.13332/j.1000-1522.20140221 |
[7] | YAN Wei, ZONG Shi-xiang, LUO You-qing, CAO Chuan-jian, , LI Zhan-wen, GUO Qi-lin. Application of stepwise regression model in predicting the movement of Artemisia ordosica boring insects.[J]. Journal of Beijing Forestry University, 2009, 31(3): 140-144. |
[8] | MA You-ping, , FENG Zhong-ke, DONG Bin, AI Xun-ru. Genetic algorithm solution for Logistic model parameters.[J]. Journal of Beijing Forestry University, 2008, 30(增刊1): 192-195. |
[9] | XIANG Wei, LEI Xiang-dong, LIU Gang, XU Guang, CHEN Guang-fa. Individual tree mortality models for seminatural larchsprucefir forests in Jilin Province, northeastern China.[J]. Journal of Beijing Forestry University, 2008, 30(6): 90-98. |
[10] | TIAN Yong-chen, LIU Shao-gang, ZHAO Gang, CHEN Jie-yuan, LI Wen-bin. Intelligent decision-making model for forest fire suppression[J]. Journal of Beijing Forestry University, 2007, 29(4): 46-48. DOI: 10.13332/j.1000-1522.2007.04.011 |