帽儿山阔叶混交林天然更新幼苗幼树地径-树高模型

doi:10.13287/j.1001-9332.201911.003

应用生态学报 ›› 2019, Vol. 30 ›› Issue (11): 3811-3823.doi: 10.13287/j.1001-9332.201911.003

帽儿山阔叶混交林天然更新幼苗幼树地径-树高模型

王佳慧, 董利虎, 李凤日^*

东北林业大学林学院, 森林生态系统可持续经营教育部重点实验室, 哈尔滨 150040

收稿日期:2019-05-24 出版日期:2019-11-15 发布日期:2019-11-15
通讯作者: * E-mail: fengrili@126.com
作者简介:王佳慧, 女, 1994年生, 硕士研究生. 主要从事林分生长与收获模型研究. E-mail: 1206557598@qq.com
基金资助:
本文由黑龙江省森林可持续经营试验示范区建设项目(201522)资助

Ground diameter-height models of naturally regenerated seedlings and saplings under broad-leaved mixed forest in Maoershan Mountains.

WANG Jia-hui, DONG Li-hu, LI Feng-ri^*

Ministry of Education Key Laboratory of Sustainable Forest Ecosystem Management, School of Forestry, Northeast Forestry University, Harbin 150040, China

Received:2019-05-24 Online:2019-11-15 Published:2019-11-15
Contact: * E-mail: fengrili@126.com
Supported by:
This work was supported by the Construction Project of Experimental Demonstration Zone of Sustainable Forest Management in Heilongjiang Province (201522).

摘要/Abstract

摘要： 基于黑龙江省东北林业大学帽儿山实验林场48块天然阔叶林幼苗幼树调查数据,在8个备选模型中为主要更新树种选择最佳地径(D₀)-树高(H)模型作为基本模型,通过再参数化在基础模型中引入林分因子,并建立样地水平混合效应模型,最后分别对基础模型和混合效应模型进行独立样本检验.结果表明:各树种幼苗幼树的地径-树高关系存在明显的正相关,幂函数或包含幂函数的模型能较好地拟合幼苗幼树地径和树高的关系;基础模型中引入林分因子[林分优势高(H_T)、林分平均胸径(D_g)、林分胸高断面积(BA)]能提高模型的拟合效果,各树种剩余均方根误差(RMSE)下降1.3%～7.4%(平均3.8%),但调整后的决定系数(R_a²)仅仅提高0.1%～1.1%(平均0.6%),赤池信息准则(AIC)下降3.2%～35.2%(平均下降11.4%).对春榆、椴树、水曲柳等10个树种建立混合效应模型,混合效应模型的R_a²比基础模型有所提高,增幅为0.5%～3.5%(平均增加2.2%);RMSE和AIC比基础模型的小,RMSE下降的幅度很大,为3.9%～20.3%,平均下降13.9%,AIC减少4.0%～44.4%(平均减少22.3%).模型检验结果显示,相对于基础模型,混合效应模型的平均绝对误差(MAE)减小0.0001～0.46 m,平均减小0.08 m;平均预测误差百分比(MPSE)降幅较大,为0.1%～6.2%,平均降幅2.0%.说明混合效应模型既能提高模型的拟合效果,又能提高模型的预测能力.本研究构建的阔叶混交林主要更新树种幼苗幼树地径-树高模型为天然阔叶林结构分析和林分生长预测提供了参考.

Abstract: Based on the investigation data of seedlings and saplings from 48 plots in natural broad-leaved forest of Maoershan Experimental Forest Farm of Northeast Forestry University in Heilongjiang Province, the optimum model of ground diameter (D₀) - height (H) was selected from eight alternative models as the basic model for the main regeneration tree species, and then the stand factors were parameterized, and the mixed effect model of sampling plot level was developed. The basic model and the mixed effect model were tested by independent samples. The results showed that there was a significant positive correlation between ground diameter and tree height of seedlings and saplings and that power function or model containing power function could better fit the relationship. The introduction of stand factors [dominant height of forest (H_T), average diameter at breast height (D_g), basal area of forest (BA)] could improve the fitting effect of the model, with the residual root mean square error (RMSE) of each tree species decreasing by 1.3%-7.4% (average 3.8%), adjusted coefficient of determination (R_a²) only increasing by 0.1%-1.1% (average 0.6%) and Akaike info criterion (AIC) decreasing by 3.2%-35.2% (average 11.4%). Mixed effect models were developed for 10 tree species, such as Ulmus propinqua, Tilia and Fraxinus mandshurica. The R_a² of mixed effect models was larger than that of the basic model, with an enhancement of 0.5%-3.5% (average 2.2%). RMSE and AIC decreased by 3.9%-20.3% (ave-rage 13.9%) and 4.0%-44.4% (average 22.3%) than that of the basic model. Model test results showed that, compared with the basic model, the average absolute error (MAE) of mixed effect model was reduced by 0.0001-0.46 m, with an average reduction of 0.08 m, and the average prediction error percentage (MPSE) decreased by 0.1%-6.2%, with an average reduction of 2.0%. The mixed effect model could improve the fitting effect and prediction ability of the model. The ground diameter-height model of seedlings and samplings of main regeneration species in broad-leaved mixed forest was developed in this study, which provides a reference for structure analysis and stand growth prediction of natural broad-leaved forest.

王佳慧, 董利虎, 李凤日. 帽儿山阔叶混交林天然更新幼苗幼树地径-树高模型[J]. 应用生态学报, 2019, 30(11): 3811-3823.

WANG Jia-hui, DONG Li-hu, LI Feng-ri. Ground diameter-height models of naturally regenerated seedlings and saplings under broad-leaved mixed forest in Maoershan Mountains.[J]. Chinese Journal of Applied Ecology, 2019, 30(11): 3811-3823.

参考文献

[1] Liu S-R (刘世荣), Ma J-M (马姜明), Miao N (缪宁). Achievements in natural forest protection, ecological restoration, and sustainable management in China. Acta Ecologica Sinica (生态学报), 2015, 35(1): 212-218 (in Chinese)
[2] State Forestry Administration (国家林业局). Results of the eighth national forest resources inventory. Forest Resources Management (林业资源管理), 2014(1): 1-2 (in Chinese)
[3] Jia W-W (贾炜玮), Xie X-T (解希涛), Jiang S-W (姜生伟), et al. Spatial distribution pattern of seedlings and saplings of three forest types by natural rege-neration in Daxin’an Mountains Xinlin Forestry Bureau, China. Chinese Journal of Applied Ecology (应用生态学报), 2017, 28(9): 2813-2822 (in Chinese)
[4] Eerikinen K, Valkonen S, Saksa T. Ingrowth, survival and height growth of small trees in uneven-aged Picea abies stands in southern Finland. Forest Ecosystems, 2014, 1: 5
[5] Feng G-H (冯国红), Zhu Y-J (朱玉杰), Wang J-F (王景峰). Tree height curve models of different tree species in the natural forest of Xiaoxing’an Mountain. Journal of Northeast Forestry University (东北林业大学学报), 2016, 44(12): 6-9 (in Chinese)
[6] Huang S, Titus SJ. An age-independent individual tree height prediction model for boreal spruce-aspen stand in Alberta. Canadian Journal of Forest Research, 1994, 24: 1295-1301
[7] Kearsley E, De HT, Hufkens K, et al. Conventional tree height-diameter relationships significantly overestimate aboveground carbon stocks in the Central Congo Basin. Nature Commumications, 2014, 4: 2269-2276
[8] Jiang Y (蒋益), Deng H-F (邓华锋), Gao D-Q (高东启). Constructing height-diameter curve equations with measurement error models for Chinese pine stands. Journal of Northeast Forestry University (东北林业大学学报), 2015, 43(5): 126-129 (in Chinese)
[9] Duan G-S (段光爽), Li X-D (李学东), Feng Y (冯岩), et al. Developing a height-diameter relationship model with mixed random effects for Larix principis-rupprechtii natural secondary forests. Journal of Nanjing Forestry University (Natural Science) (南京林业大学学报: 自然科学版), 2018, 42(2): 163-169 (in Chinese)
[10] Huang S, Titus SJ, Wiens DP. Comparison of nonlinear height-diameter functions for major Alberta tree species. Canadian Journal of Forest Research, 1992, 22: 1297-1304
[11] Lu J (卢军), Zhang H-R (张会儒), Lei X-D (雷相东), et al. Height-diameter models for saplings in a spruce-fir mixed forest in Changbai Mountains. Journal of Beijing Forestry University (北京林业大学学报), 2015, 37(11): 10-25 (in Chinese)
[12] Maina K, Robert M, Kooyman RGB, et al. Regeneration changes in tree species abundance, diversity and structure in logged and unlogged subtropical rainforest over a 36-year period. Forest Ecology and Management, 2006, 236: 162-176
[13] Lundqvist L, Fridman E. Influence of local stand basal area on density and growth of regeneration in uneven-aged Picea abies stands. Scandinavian Journal of Forest Research, 1996, 11: 364-369
[14] Cronquist A. Basic Botany. New York: Harper & Row, 1982: 352-355
[15] Huang S, Price DJ, Titus SJ. Development of ecoregion based height-diameter models for white spruce in boreal forests. Forest Ecology and Management, 2000, 129: 125-141
[16] Methtalo L, Demiguel S, Gregoire TG. Modeling height-diameter curves for prediction. Canadian Journal of Forest Research, 2015, 45: 826-837
[17] Zhang XQ, Chhin S, Fu LY, et al. Climate-sensitive tree height-diameter allometry for Chinese fir in southern China. Forestry, 2019, 92: 167-176
[18] Fu L, Zhang H, Sharma RP, et al. A generalized nonlinear mixed-effects height to crown base model for Mongolian oak in northeast China. Forest Ecology and Mana-gement, 2017, 384: 34-43
[19] Jiang L-C (姜立春), Li F-R (李凤日). Application of Mixed Effect Model in Forest Modeling. Beijing: Science Press, 2014 (in Chinese)
[20] Bohora SB, Cao QV. Prediction of tree diameter growth using quantile regression and mixed-effects models. Forest Ecology and Management, 2014, 319: 62-66

帽儿山阔叶混交林天然更新幼苗幼树地径-树高模型

Ground diameter-height models of naturally regenerated seedlings and saplings under broad-leaved mixed forest in Maoershan Mountains.

PDF (PC)

可视化

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 0

编辑推荐

Metrics

本文评价