青冈栎次生林林分形高模型构建
收稿日期: 2024-01-05
修回日期: 2024-02-02
网络出版日期: 2024-03-22
基金资助
国家自然科学基金面上项目“基于林分结构效应的亚热带栎类天然混交林全林分生长模型”(32271874)
Research and Construction of Stand Form Height Model of Quercus glauca Secondary Forest
Received date: 2024-01-05
Revised date: 2024-02-02
Online published: 2024-03-22
探索林分形高模型的构建与评价方法,可为湖南省青冈栎林分蓄积量的精准测定提供理论依据。以芦头林场和青羊湖林场的青冈栎次生林为研究对象,基于35个样地的1 055株单木实测数据,建立青冈栎次生林一元、二元林分形高模型。由孔兹干曲线推导出青冈栎树高曲线以计算林分条件平均高,基于林分形高与林分平均胸径、林分条件平均高的一元、二元相关关系,选取6个一元模型和8个二元模型,以决定系数(R2)、均方根误差(RMSE)、解释方差(EA)、平均绝对误差(MAE)和模型预估精度(P1)作为评价指标。经过评估和比较,选定一元林分形高模型为f(D)=2.870 7×D0.261 8、f(H)=2.022 4+0.339 5×H和二元林分形高模型为f(D,H)=0.590 6×exp(-0.008 3×D)×H、f(D,H)=(0.710 2-0.070 1×logD)H和f(D,H)=2.479 9×(D2×H)0.109 2。通过留一交叉验证和配对T检验对模型进行检验,结果显示一元、二元林分形高模型均具有较高的精度和较强的适用性,进一步验证了以林分平均胸径和林分条件平均高构建林分形高模型的方法合理可行,可为其它类型的林分形高模型构建和林分形高表的编制提供示范和参考。
吴莎 , 边更战 , 易烜 , 吕勇 . 青冈栎次生林林分形高模型构建[J]. 林草资源研究, 2024 , 0(1) : 134 -142 . DOI: 10.13466/j.cnki.lczyyj.2024.01.017
Exploring the construction and evaluation method of the stand form height model could provide a theoretical basis for the precise measurement of stand volume of Quercus glauca secondary forest in Hunan Province.Based on the measured data of 1055 individual trees from 35 plots,we established the univariate form height model and the binary form height model of Quercus glauca secondary forest in Lutou Forestry Farm and Qingyanhu Forestry Farm.The Quercus glauca tree height curve was derived from the Kunze,M.stem curve to calculate the stand condition mean height.Based on the univariate and binary correlations een form height,stand diameter at breast height and stand condition mean height,6 univariate basic models and 8 binary basic models were selected,and the coefficient of determination(R2),root mean square error(RMSE),explained variance(EA),mean absolute error(MAE)and model prediction accuracy(P1)were used as evaluation indicators.After evaluation and comparison,the univariate form height model was found to be f(D)=2.870 7×D0.261 8、f(H)=2.022 4+0.339 5×H and the binary form height model was f(D,H)=0.590 6×exp(-0.008 3×D)H、f(D,H)=(0.710 2-0.070 1×logD)H and f(D,H)=2.479 9×(D2×H)0.109 2.The models were tested through cross Leave-One-Out Cross-Validation and Paired T-test.The results showed that both univariate and binary stand form high models had high accuracy and strong applicability.It verified that the method of constructing a stand form height model based on the stand mean diameter at breast height and the stand condition mean height is reasonable and feasible.It can also provide demonstration and reference for the construction of other types of stand form height models and the preparation of stand form height tables.
| [1] | 李凤日, 孙玉军, 胥辉, 等. 测树学(第4版)[M]. 北京: 中国林业出版社, 2019. |
| [2] | 秦安臣. 林分形高和角规测树估测林分公顷蓄积量有偏的研究[J]. 林业勘查设计, 1989(3):35-37. |
| [3] | 骆期邦. 采用立木材积表计算林分蓄积量的一个必须纠正的错误方法[J]. 中南林业调查规划, 1992(4):33-34. |
| [4] | 刘楚儒. 湘潭市杉木林平均形高表的编制[J]. 中南林业调查规划, 1996(2):10-12. |
| [5] | 余松柏, 叶金盛, 王登峰, 等. 编制林分形高表估测林分蓄积量方法的研究[J]. 中南林业调查规划, 2005, 24(3):5-9. |
| [6] | Ni Jian, Song Yongchang. Relationships between geographical distribution of Quercus glauca and climate in China[J]. Acta Botanica Sinica, 1997, 39(5):451-460. |
| [7] | 曾思齐, 朱光玉, 吕勇, 等. 湖南栎类次生林经营[M]. 北京: 中国林业出版社, 2020. |
| [8] | 黄河, 周林杰, 龙时胜. 基于立地哑变量的青冈栎单木胸径生长率模型[J]. 林业科技通讯, 2023(8):4-8. |
| [9] | 尚永明. 青冈栎人工林生长特性及生态效益研究[D]. 长沙: 中南林业科技大学, 2016. |
| [10] | 龙时胜, 曾思齐, 肖化顺, 等. 基于Hegyi改进模型的青冈栎次生林竞争分析[J]. 林业资源管理, 2018(1):50-56. |
| [11] | 郭恺琦. 栎属青冈栎组(Quercus section Cyclobalanopsis)树种分布特征分析[D]. 长沙: 中南林业科技大学, 2021. |
| [12] | 王金池, 陈振雄, 杜志, 等. 湖南省马尾松树高曲线及材积模型研建[J]. 中南林业调查规划, 2023, 42(3):59-66. |
| [13] | 曲佳, 张雄清. 国内外树干干形的研究进展[J]. 林业科技通讯, 2015,(7):3-7. |
| [14] | 陈静, 周根苗, 易烜, 等. 湖南省杉木二元立木材积模型的检验与调整[J]. 中南林业科技大学学报, 2023, 43(6):96-104. |
| [15] | 窦啸文, 吴登瑜, 张笑菁, 等. 天目山常绿阔叶林胸高断面积生长量影响因子研究[J]. 浙江农林大学学报, 2023, 40(5):1063-1072. |
| [16] | 黄靓, 卢侃, 易烜, 等. 湘西土家族苗族自治州马尾松树高-胸径混合效应模型构建[J]. 湖南林业科技, 2023, 50(5):14-21. |
| [17] | 张国飞. 以相对形数法编制伊盟地区杨树形高表及适用性检验[J]. 内蒙古林业科技, 1983,(4):28-37. |
| [18] | 刘钦. 黄山松人工林形高与断面积和疏密度的关系[J]. 林业科技开发, 2003, 17(增刊):19-20. |
/
| 〈 |
|
〉 |