A height growth model for <em>Cunninghamia lanceolata</em> based on Richards’ equation

WEI Xiao-hui; SUN Yu-jun; MA Wei

doi:10.11833/j.issn.2095-0756.2012.05.004

Volume 29 Issue 5

Sep. 2012

Turn off MathJax

Article Contents

Article Navigation > Journal of Zhejiang A&F University > 2012 > 29(5): 661-666

WEI Xiao-hui, SUN Yu-jun, MA Wei. A height growth model for Cunninghamia lanceolata based on Richards’ equation[J]. Journal of Zhejiang A&F University, 2012, 29(5): 661-666. doi: 10.11833/j.issn.2095-0756.2012.05.004

Citation:

WEI Xiao-hui, SUN Yu-jun, MA Wei. A height growth model for Cunninghamia lanceolata based on Richards’ equation[J]. Journal of Zhejiang A&F University, 2012, 29(5): 661-666. doi: 10.11833/j.issn.2095-0756.2012.05.004

A height growth model for Cunninghamia lanceolata based on Richards’ equation

doi: 10.11833/j.issn.2095-0756.2012.05.004

1.
The Key Laboratory for Silviculture and Conservation of Ministry of Education，Beijing Forestry University，Beijing 100083，China

More Information

Corresponding author: SUN Yu-jun
Received Date: 2011-11-15
Rev Recd Date: 2012-04-15
Publish Date: 2012-10-20

Abstract

To establish a height growth model for Chinese fir （Cunninghamia lanceolata） on a Chinese fir plantation in Fujian Province at the Sanming Citys Jiangle State-owned Forest Farm using Richards equation，field survey data from 15 sample plots were used to simulate the tree diameter-tree height curve，the tree diameter-cumulative tree number （%） curve，and the tree height-cumulative tree number curve （%）. Then data were analyzed with distributive rules for stand relative diameter （dR） and relative height （hR） using statistical software SPSS 20 for P = 0.95. Results for present stand structure were r = 0.993 with parameters A = 28.606，B = 1.094，k = 0.031，and m = －0.466. These parameters estimated values were fit to the Chinese fir growth rhythm. Richards growth equation could greatly improve forest survey indicators for tree height simulation and could provide basic data to help achieve optimal allocation of forest resources.［Ch，3 fig. 3 tab. 30 ref.］
- forest mensuration,
- diameter at breast height （DBH）,
- tree height,
- Richards’ growth equation,
- Cunninghamia lanceolata

Relative Article

[1]	MAO Guangxian, TAN Wei, CHAI Zongzheng, ZHAO Yang, YANG Shenjun. Diameter-height model for Pinus massoniana plantations based on BP neural network . Journal of Zhejiang A&F University, 2020, 37(4): 752-760. doi: 10.11833/j.issn.2095-0756.20190486
[2]	XIE Qiaoya, YU Kunyong, DENG Yangbo, LIU Jian, FAN Huadong, LIN Tongzhou. Height measurement of Cunninghamia lanceolata plantations based on UAV remote sensing . Journal of Zhejiang A&F University, 2019, 36(2): 335-342. doi: 10.11833/j.issn.2095-0756.2019.02.015
[3]	JIA Penggang, XIA Kai, DONG Chen, FENG Hailin, YANG Yinhui. Predicting DBH of a single Ginkgo biloba tree based on UAV images . Journal of Zhejiang A&F University, 2019, 36(4): 757-763. doi: 10.11833/j.issn.2095-0756.2019.04.016
[4]	HE Guiping, XU Jinliang, XU Yongqin, CHEN Yonghui, SHEN Fengqiang, XU Luyu. Growth differences and selection of Chinese fir families in young plantations with different site conditions . Journal of Zhejiang A&F University, 2018, 35(3): 453-458. doi: 10.11833/j.issn.2095-0756.2018.03.008
[5]	LUO Hengchun, ZHANG Chao, WEI Anchao, ZHANG Yi, HUANG Tian, YU Zhexiu. Average DBH growth model of a stand with environmental parameters for Pinus yunnanensis in central Yunnan, China . Journal of Zhejiang A&F University, 2018, 35(6): 1079-1087. doi: 10.11833/j.issn.2095-0756.2018.06.011
[6]	LEI Zeyong, HAN Yangang, ZHAO Guojun, ZHOU Yanping, ZHANG Yansong, YU Deliang. Growth of Mongolian pine in Zhanggutai of Liaoning Province . Journal of Zhejiang A&F University, 2018, 35(2): 324-330. doi: 10.11833/j.issn.2095-0756.2018.02.017
[7]	LIU Weiyi, DENG Huafeng, RAN Qixiang, HUANG Guosheng, WANG Xuejun. Compatibility of height-diameter curve equations for Cunninghamia lanceolata stands in Hunan Province . Journal of Zhejiang A&F University, 2017, 34(6): 1051-1058. doi: 10.11833/j.issn.2095-0756.2017.06.012
[8]	WANG Mingchu, SUN Yujun. Based on mixed-effects model and empirical best linear unbiased predictor predicting growth profile of height for Chinese fir . Journal of Zhejiang A&F University, 2017, 34(5): 782-790. doi: 10.11833/j.issn.2095-0756.2017.05.003
[9]	CHEN Jinxing, YUE Depeng, FENG Zhongke, DING Jiawei, YAO Bingquan, YE Tianxiong. A handheld dendrometer for automatic tree diameter measurement . Journal of Zhejiang A&F University, 2016, 33(4): 589-598. doi: 10.11833/j.issn.2095-0756.2016.04.006
[10]	CHEN Ting, SHI Yongjun, ZHOU Guomo, ZHENG Zerui, LI Chong. Interannual variation characteristics for stand structures in the early stages of new moso bamboo carbon sink stands . Journal of Zhejiang A&F University, 2015, 32(2): 181-187. doi: 10.11833/j.issn.2095-0756.2015.02.003
[11]	DENG Jing, CHEN Yutuo. Stand growth prediction based on a growth distribution model . Journal of Zhejiang A&F University, 2014, 31(6): 898-904. doi: 10.11833/j.issn.2095-0756.2014.06.011
[12]	SHANG Zhenzhen, ZHOU Guomo, DU Huaqiang. Relationship between above-ground biomass and DBH for Phyllostachys edulis stands based on fractal theory . Journal of Zhejiang A&F University, 2013, 30(3): 319-324. doi: 10.11833/j.issn.2095-0756.2013.03.002
[13]	YAN Yi-lun, YAN Qi-peng, HU Li-zhong. Physiological characteristics of Cunninghamia lanceolata and Sassafras tsumu roots in mixed forests and pure forests . Journal of Zhejiang A&F University, 2000, 17(1): 20-23.
[14]	LIN Tong-long. Chinese fir :genetic variation and combination selection in DBH growth and wood volume weight for filial generation . Journal of Zhejiang A&F University, 2000, 17(2): 142-145.
[15]	ZHANG 　Ren-hao. Growth characteristics of Chinese fir in pure and mixed forests . Journal of Zhejiang A&F University, 1999, 16(2): 141-144.
[16]	Zhang Jianzhang You Chang shun Lǜ Jinsong, . Combining ability analysis on growth traits of half-diallel cross progeny of Chinese fir . Journal of Zhejiang A&F University, 1998, 15(2): 138-144.
[17]	Xu Anfang, Wu Longgao, Hu Zhongcheng, Wu Weigang Qiu Runsheng, Guo Youyi., . Chinese fir: related expressions between diameter breast-high and crown width and their application. . Journal of Zhejiang A&F University, 1998, 15(2): 131-137.
[18]	Xie Zhegen, Liu Anxing, Chen Xuetang, Chen Antong, Xu Zufu.. Study on Relative Tree Height Models. . Journal of Zhejiang A&F University, 1998, 15(1): 69-75.
[19]	He Fuji, Ma Lingfei, Xu Yuanke.. Comparative Studies on Wood Properties for Different Superior Trees of Chinese Fir. . Journal of Zhejiang A&F University, 1995, 12(1): 24-30.
[20]	Chen Dongji, Zheng Meizhu. Effect of Atmospheric Pollution on Growth of Chinese Fir . Journal of Zhejiang A&F University, 1993, 10(2): 169-178.

References
Proportional views

通讯作者: 陈斌, bchen63@163.com

1.
沈阳化工大学材料科学与工程学院沈阳 110142

Get Citation

PDF

XML

Article views(4871) PDF downloads(1399) Cited by()

Proportional views

A height growth model for Cunninghamia lanceolata based on Richards’ equation

1. The Key Laboratory for Silviculture and Conservation of Ministry of Education，Beijing Forestry University，Beijing 100083，China

Corresponding author: SUN Yu-jun

Received Date: 2011-11-15

Rev Recd Date: 2012-04-15

Publish Date: 2012-10-20

Key words:

Abstract: To establish a height growth model for Chinese fir （Cunninghamia lanceolata） on a Chinese fir plantation in Fujian Province at the Sanming Citys Jiangle State-owned Forest Farm using Richards equation，field survey data from 15 sample plots were used to simulate the tree diameter-tree height curve，the tree diameter-cumulative tree number （%） curve，and the tree height-cumulative tree number curve （%）. Then data were analyzed with distributive rules for stand relative diameter （dR） and relative height （hR） using statistical software SPSS 20 for P = 0.95. Results for present stand structure were r = 0.993 with parameters A = 28.606，B = 1.094，k = 0.031，and m = －0.466. These parameters estimated values were fit to the Chinese fir growth rhythm. Richards growth equation could greatly improve forest survey indicators for tree height simulation and could provide basic data to help achieve optimal allocation of forest resources.［Ch，3 fig. 3 tab. 30 ref.］

A height growth model for Cunninghamia lanceolata based on Richards’ equation

doi: 10.11833/j.issn.2095-0756.2012.05.004

Abstract

References

Proportional views

通讯作者: 陈斌, bchen63@163.com

Related

Proportional views

A height growth model for Cunninghamia lanceolata based on Richards’ equation

doi: 10.11833/j.issn.2095-0756.2012.05.004

1. The Key Laboratory for Silviculture and Conservation of Ministry of Education，Beijing Forestry University，Beijing 100083，China

Corresponding author: SUN Yu-jun

HTML

Catalog

A height growth model for Cunninghamia lanceolata based on Richards’ equation

doi: 10.11833/j.issn.2095-0756.2012.05.004

Abstract

Relative Article

References

Proportional views

通讯作者: 陈斌, bchen63@163.com

Related

Proportional views

A height growth model for Cunninghamia lanceolata based on Richards’ equation

doi: 10.11833/j.issn.2095-0756.2012.05.004

1. The Key Laboratory for Silviculture and Conservation of Ministry of Education，Beijing Forestry University，Beijing 100083，China

Corresponding author: SUN Yu-jun

HTML

Catalog

Export File

Citation

Format

Content