• Scopus
  • Chinese Science Citation Database (CSCD)
  • A Guide to the Core Journal of China
  • CSTPCD
  • F5000 Frontrunner
  • RCCSE
Advanced search
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
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

Application of R program package ForestStatTool in statistics of individual tree and stand factors in forestry

More Information
  • Received Date: March 17, 2024
  • Revised Date: September 19, 2024
  • Accepted Date: September 19, 2024
  • Available Online: September 22, 2024
  • Objective 

    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.

    Method 

    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.

    Result 

    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.

    Conclusion 

    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
  • Related Articles

    [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 seminatural larchsprucefir 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
  • Cited by

    Periodical cited type(12)

    1. 杨春梅,李昱成,田心池,吴方镜,魏明,吴哲. 基于筛分配比的超薄纤维板物理力学性能研究. 林业机械与木工设备. 2024(01): 20-24 .
    2. 张镭,邹淼,唐启恒,郭文静. 热压时间和温度对酚醛树脂型超薄高密度纤维板性能的影响. 木材科学与技术. 2023(01): 68-73 .
    3. 高黎,常亮,郭文静,范丽颖,涂松,袁旻. 轻质纤维板发展与应用探讨. 中国人造板. 2023(06): 8-11 .
    4. 史振丁,贾耀芳,郭勇德. 基于不同水刺水针板缠结性能的研究. 化纤与纺织技术. 2023(05): 20-22 .
    5. 陈秀兰,杜官本,范恩庆,杨龙. 工艺参数对脲基超支化聚合物改性效果的影响. 林产工业. 2022(04): 20-24 .
    6. 龙慈明,覃掌吉,黎耀健,卿彦,李新功,吴义强,刘明. 脲醛树脂/异氰酸酯胶粘剂组合施胶对纤维板性能的影响. 中国胶粘剂. 2021(02): 8-13 .
    7. 黄伟雄,韦盛永,陆锋,冯炳健,李立群,徐健峰. 中密度纤维板的密度稳定性分析——以广西三威林产岑溪市人造板有限公司为例. 林业科技通讯. 2021(04): 63-66 .
    8. 孙萍,张健,刘红光,李黎,罗斌. UF/PMDI与PMDI胶黏剂制备轻质刨花板性能对比研究. 林产工业. 2021(06): 7-12 .
    9. 伍艳梅,卢胜高,赵丽媛,唐召群,杨娜. 中密度纤维板剖面密度特征参数与主要物理力学性能相关性. 木材科学与技术. 2021(05): 31-37 .
    10. 张成旭,花军,陈光伟. 纤维目数对纤维板力学性能和成本的影响研究. 林产工业. 2020(03): 19-24 .
    11. 马玉峰,龚轩昂,王春鹏. 木材胶黏剂研究进展. 林产化学与工业. 2020(02): 1-15 .
    12. 林国利,覃掌吉,魏云和,安超,杨守禄,刘明. 工艺因子对MDI制备无醛纤维板性能的影响. 林产工业. 2020(08): 25-28 .

    Other cited types(5)

Catalog

    Article views PDF downloads Cited by(17)

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return