Comparison of methods for dividing developmental stages of natural mixed forest stands

Xu Depeng; Xu Fangze; Sun Hailong; Chen Meiqing; Xiang Wei

doi:10.12171/j.1000-1522.20230174

Journal of Beijing Forestry University > 2024 > 46(7): 139-152. > DOI: 10.12171/j.1000-1522.20230174

Xu Depeng, Xu Fangze, Sun Hailong, Chen Meiqing, Xiang Wei. Comparison of methods for dividing developmental stages of natural mixed forest stands[J]. Journal of Beijing Forestry University, 2024, 46(7): 139-152. DOI: 10.12171/j.1000-1522.20230174

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Comparison of methods for dividing developmental stages of natural mixed forest stands

1.
Key Laboratory of Forest Resources and Environmental Management of National Forestry and Grassland Administration, Beijing Forestry University, Beijing 100083, China
2.
Wangqing Forestry Bureau, Yanji 133200, Jilin, China

More Information

Received Date: July 05, 2023
Revised Date: August 05, 2023
Accepted Date: November 17, 2023
Available Online: November 21, 2023

Graphical Abstract

Abstract

Abstract

Objective
Taking the Changbai Mountain spruce coniferous mixed forest as an example, this study compared the methods for dividing different stages of forest development and determined the most suitable method for dividing the development stages of Changbai Mountain spruce coniferous mixed forest, aiming to develop targeted forest management strategies for different stages of development and provide a methodological basis for the scientific division of natural forest development stages.
Method
A total of 2 589 plot samples were divided by interspecies linkage-optimal segmentation method (A), forest facies characteristic discrimination method (B), TWINSPAN bidirectional indicator species analysis method (C), MRT multiple regression tree method (D), and TWINSPAN-based discriminant analysis method (E) of Jingouling Forest Farm of Wangqing Forestry Bureau of Jilin Province, northeastern China. Multiple comparisons were used to verify whether there were significant differences between different stages of stand development, and the anastomosis coefficient was used to compare the anastomosis between the classification results of different methods, and finally the classification results of five methods were compared from the aspects of tree species composition and stand characteristics.
Result
The results of multiple comparisons showed that the nine numerical indicators used to describe the characteristics of forest stands in this paper basically had significant differences between different stages of stand development, indicating that the results were more reliable. Method D and E had the highest anastomosis coefficient, indicating that the division results were more consistent, while method B had a low agreement with other methods. From the perspective of development trend of the stand, the results of each method are roughly the same. As the forest gradually developed, the forest characteristic indicators increased, the diversity indicators decreased, and the tree species composition tended to be simpler. The differences were mainly reflected in the number of hectares and tree species composition indicators, and in the division results of different methods, the degree of difference between the indicators and the sample size of each stage were also different. From the specific analysis of various aspects, the division results of method E were more in line with the growth and development law of stands. In the first stage, a mixed spruce and fir coniferous forest was formed, and the forest grew rapidly. In the second stage, competition between trees intensified, and individual differentiation was significant. In the third stage, the forest was classified as a near natural forest, which was the target state of forest management.
Conclusion
The discriminant analysis method based on TWINSPAN can better divide the developmental stage of forest stands, and divide the development process of Changbai Mountain spruce-fir-coniferous mixed forest into group establishment stage, competition stage and near-natural forest stage, which provides an important theoretical basis for forest scientific management.
- developmental stage division,
- spruce-fir-coniferous mixed forest,
- optimal segmentation,
- discriminant analysis,
- TWINSPAN,
- MRT

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References (42)

References

[1]	沈国舫. 森林培育学[M]. 北京: 中国林业出版社, 2001. Shen G F. Silviculture[M]. Beijing: China Forestry Publishing House, 2001.
[2]	温远光, 元昌安, 李信贤, 等. 大明山中山植被恢复过程植物物种多样性的变化[J]. 植物生态学报, 1998, 22(1): 34−41. Wen Y G, Yuan C A, Li X X, et al. Changes of plant species diversity during vegetation restoration in the middle mountains of Daming Mountain[J]. Chinese Journal of Plant Ecology, 1998, 22(1): 34−41.
[3]	National Research Council. People and pixels: linking remote sensing and social science[M]. Washington: National Academies Press, 1998.
[4]	Saldarriaga J G, West D C, Tharp M L, et al. Long-term chronosequence of forest succession in the upper Rio Negro of Colombia and Venezuela[J]. Journal of Ecology, 1988, 76(4): 938−958.
[5]	Uhl C, Buschbacher R, Serrao E A S. Abandoned pastures in eastern Amazonia (Ⅰ): patterns of plant succession[J]. The Journal of Ecology, 1988, 76(1): 663−681.
[6]	Moran E F, Brondizio E S, Tucker J M, et al. Effects of soil fertility and land-use on forest succession in Amazonia[J]. Forest Ecology and Management, 2000, 139(1−3): 93−108. doi: 10.1016/S0378-1127(99)00337-0
[7]	Goodell L, Faber-Langendoen D. Development of stand structural stage indices to characterize forest condition in Upstate New York[J]. Forest Ecology and Management, 2007, 249(3): 158−170. doi: 10.1016/j.foreco.2007.04.052
[8]	Podlaski R. Suitability of the selected statistical distributions for fitting diameter data in distinguished development stages and phases of near-natural mixed forests in the Świętokrzyski National Park (Poland)[J]. Forest Ecology and Management, 2006, 236(2−3): 393−402. doi: 10.1016/j.foreco.2006.09.032
[9]	Feldmann E, Glatthorn J, Hauck M, et al. A novel empirical approach for determining the extension of forest development stages in temperate old-growth forests[J]. European Journal of Forest Research, 2018, 137(3): 321−335. doi: 10.1007/s10342-018-1105-4
[10]	Zeller L, Pretzsch H. Effect of forest structure on stand productivity in Central European forests depends on developmental stage and tree species diversity[J]. Forest Ecology and Management, 2019, 434: 193−204. doi: 10.1016/j.foreco.2018.12.024
[11]	张家来. 应用最优分割法划分森林群落演替阶段的研究[J]. 植物生态学与地植物学学报, 1993, 17(3): 34−41, 100−101. Zhang J L. Study on the application of optimal segmentation method to divide forest community succession stages[J]. Journal of Plant Ecology and Geobotany, 1993, 17(3): 34−41, 100−101.
[12]	马姜明, 刘世荣, 史作民,等. 川西亚高山暗针叶林恢复过程中不同恢复阶段的定量分析[J]. 应用生态学报, 2007, 18(8): 1695−1701. Ma J M, Liu S R, Shi Z M, et al. Quantitative analysis of different restoration stages during the restoration of alpine dark coniferous forest in western Sichuan[J]. Chinese Journal of Applied Ecology, 2007, 18(8): 1695−1701.
[13]	余树全. 浙江淳安天然次生林演替的定量研究[J]. 林业科学, 2003, 39(1): 17−22. Yu S Q. Quantitative study on succession of natural secondary forest in Chun’an, Zhejiang Province[J]. Forestry Science, 2003, 39(1): 17−22.
[14]	龚直文. 长白山退化云冷杉林演替动态及恢复研究[D]. 北京: 北京林业大学, 2009. Gong Z W. Study on succession dynamics and restoration of degraded spruce forest in Changbai Mountain[D]. Beijing: Beijing Forestry University, 2009.
[15]	唐守正. 多元统计分析方法[M]. 北京: 中国林业出版社, 1984: 238−249. Tang S Z. Multivariate statistical analysis method[M]. Beijing: China Forestry Publishing House, 1984: 238−249.
[16]	Lu D, Mausel P, Brondızio E, et al. Classification of successional forest stages in the Brazilian Amazon basin[J]. Forest Ecology and Management, 2003, 181(3): 301−312. doi: 10.1016/S0378-1127(03)00003-3
[17]	李婷婷, 陆元昌, 张显强,等. 经营的马尾松森林类型发育演替阶段量化指标研究[J]. 北京林业大学学报, 2014, 36(3): 9−17. doi: 10.13332/j.cnki.jbfu.2014.03.002 Li T T, Lu Y C, Zhang X Q, et al. Quantitative indices to identify succession stages of managed Pinus massoniana forest[J]. Journal of Beijing Forestry University, 2014, 36(3): 9−17. doi: 10.13332/j.cnki.jbfu.2014.03.002
[18]	周梦丽, 雷相东, 国红,等. 基于TWINSPAN分类的天然云冷杉−阔叶混交林发育阶段划分[J]. 林业科学研究, 2019, 32(3): 49−55. doi: 10.13275/j.cnki.lykxyj.2019.03.007 Zhou M L, Lei X D, Guo H, et al. Developmental stage division of natural spruce-broadleaf mixed forest based on TWINSPAN classification[J]. Forest Research, 2019, 32(3): 49−55. doi: 10.13275/j.cnki.lykxyj.2019.03.007
[19]	张会儒, 汤孟平. 金沟岭林场混交林TWINSPAN分类及演替序列分析[J]. 南京林业大学学报(自然科学版), 2009, 33(1): 37−42. Zhang H R, Tang M P. TWINSPAN classification and succession sequence analysis of mixed forest in Jingouling Forest Farm[J]. Journal of Nanjing Forestry University (Natural Science Edition), 2009, 33(1): 37−42.
[20]	张金屯. 植被数量生态学方法[M]. 北京: 科学出版社, 1995. Zhang J T. Quantitative ecological method of vegetation[M]. Beijing: Science Press, 1995.
[21]	赖江山, 米湘成, 任海保,等. 基于多元回归树的常绿阔叶林群丛数量分类: 以古田山24公顷森林样地为例[J]. 植物生态学报, 2010, 34(7): 761−769. Lai J S, Mi X C, Ren H B, et al. Classification of evergreen broad-leaved forest cluster based on multiple regression trees: a case study of 24 hectares of forest plot in Gutianshan[J]. Chinese Journal of Plant Ecology, 2010, 34(7): 761−769.
[22]	Zenner E K, Sagheb-Talebi K, Akhavan R, et al. Integration of small-scale canopy dynamics smoothes live-tree structural complexity across development stages in old-growth Oriental beech (Fagus orientalis Lipsky) forests at the multi-gap scale[J]. Forest Ecology and Management, 2015, 335: 26−36. doi: 10.1016/j.foreco.2014.09.023
[23]	颜攀. 基于近自然林经营的鲁南山地侧柏人工林经营模型构建与营林效果评价[D]. 泰安: 山东农业大学, 2020. Yan P. Construction of management model and evaluation of forestry effect of Lunan Mountain cypress plantation based on near-natural forest management[D]. Tai’an: Shandong Agricultural University, 2020.
[24]	周超凡, 冯林艳, 何潇,等. 目标树经营对云冷杉针阔混交林单木生长的影响研究[J]. 林业科学研究, 2022, 35(2): 19−27. doi: 10.13275/j.cnki.lykxyj.2022.02.003 Zhou C F, Feng L Y, He X, et al. Effects of target tree management on single growth of spruce coniferous and broad-leaved mixed forest[J]. Forest Research, 2022, 35(2): 19−27. doi: 10.13275/j.cnki.lykxyj.2022.02.003
[25]	Greig-Smith P. Quantitative plant ecology[M]. Los Angeles: University of California Press, 1983.
[26]	王伯荪, 彭少麟. 南亚热带常绿阔叶林种间联结测定技术研究——Ⅰ. 种间联结测式的探讨与修正[J]. 植物生态学与地植物学丛刊, 1985(4): 274−285. Wang B S, Peng S L. Study on interspecific linkage measurement technology of tropical evergreen broad-leaved forest in South Asia (Ⅰ): discussion and correction of interspecific linkage measurement pattern[J]. Plant Ecology and Geobotany Series, 1985(4): 274−285.
[27]	潘紫重, 应天玉, 赵艳霞. 帽儿山复层异龄天然林的林龄结构[J]. 东北林业大学学报, 2008, 36(6): 9−12. Pan Z C, Ying T Y, Zhao Y X. Forest age structure of multi-layered heterogeneous natural forest in Maoershan[J]. Journal of Northeast Forestry University, 2008, 36(6): 9−12.
[28]	胡云云, 亢新刚, 赵俊卉. 长白山地区天然林林木年龄与胸径的变动关系[J]. 东北林业大学学报, 2009, 37(11): 38−42. Hu Y Y, Kang X G, Zhao J H. Relationship between age and breast diameter of natural forest in Changbai Mountain[J]. Journal of Northeast Forestry University, 2009, 37(11): 38−42.
[29]	尹艳豹, 唐守正, 郎璞梅,等. 多回波机载LiDAR数据提取林地DEM的判别分析方法[J]. 林业科学, 2011, 47(12): 106−113. Yin Y B, Tang S Z, Lang P M, et al. Discriminant analysis method of multi-echo airborne LiDAR data extraction from forest land DEM[J]. Forestry Science, 2011, 47(12): 106−113.
[30]	Hill M O. A FORTRAN program for arranging multivariate data in an ordered two-way table by classification of the individuals and attributes[Z/OL]. Twinspan, 1979[2023−03−19]. https://github.com/jarioksa/twinspan/blob/master/README.md.
[31]	Dufrene M, Legendre P. Species assemblages and indicator species: the need for a flexible asymmetrical approach[J]. Ecological Monographs, 1997, 67(3):345−366.
[32]	Roleček J, Tichý L, Zelený D, et al. Modified TWINSPAN classification in which the hierarchy respects cluster heterogeneity[J]. Journal of Vegetation Science, 2009, 20(4): 596−602. doi: 10.1111/j.1654-1103.2009.01062.x
[33]	De’ath G. Multivarlate regression trees: a new technique for modeling species–environment relationships[J]. Ecology, 2002, 83: 1105−1117.
[34]	De’ath G, Fabricius K E. Classification and regression trees: a powerful yet simple technique for ecological data analysis[J]. Ecology, 2000, 81: 3178−3192. doi: 10.1890/0012-9658(2000)081[3178:CARTAP]2.0.CO;2
[35]	薛茜, 刘万里, 尔西丁, 等. 常用多重比较方法[J]. 中国医院统计, 2008(1): 29−31. Xue Q, Liu W L, Erxiding, et al. Common multiple comparison methods[J]. China Hospital Statistics, 2008(1): 29−31.
[36]	张文静, 张钦弟, 王晶,等. 多元回归树与双向指示种分析在群落分类中的应用比较[J]. 植物生态学报, 2015, 39(6): 586−592. doi: 10.17521/cjpe.2015.0056 Zhang W J, Zhang Q D, Wang J, et al. Comparison of multiple regression tree and bidirectional indicator species analysis in community classification[J]. Chinese Journal of Plant Ecology, 2015, 39(6): 586−592. doi: 10.17521/cjpe.2015.0056
[37]	张金屯. 模糊C-均值聚类和TWINSPAN分类的比较研究[J]. 武汉植物学研究, 1994(1): 11−17. Zhang J T. Comparative study of fuzzy C-means clustering and TWINSPAN classification[J]. Wuhan Botanical Research, 1994(1): 11−17.
[38]	De’ath G. Multivariate regression trees: a new technique for modeling species-environment relationships[J]. Ecology, 2002, 83(4): 1105−1117.
[39]	Král K, Vrška T, Hort L, et al. Developmental phases in a temperate natural spruce-fir-beech forest: determination by a supervised classification method[J]. European Journal of Forest Research, 2010, 129(3): 339−351. doi: 10.1007/s10342-009-0340-0
[40]	张金屯. 数量生态学[M]. 北京: 科学出版社, 2004. Zhang J T. Quantitative ecology[M]. Beijing: Science Press, 2004.
[41]	Lu D. Estimation of forest stand parameters and application in classification and change detection of forest cover types in the Brazilian Amazon Basin[M]. Terre Haute: Indiana State University, 2001.
[42]	Foody G M, Palubinskas G, Lucas R M, et al. Identifying terrestrial carbon sinks: classification of successional stages in regenerating tropical forest from Landsat TM data[J]. Remote Sensing of Environment, 1996, 55(3): 205−216. doi: 10.1016/S0034-4257(95)00196-4

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Comparison of methods for dividing developmental stages of natural mixed forest stands