Establishment of Height Model for Natural Secondary Quercus variabilis Forest in Taihang Mountains

doi:10.13466/j.cnki.lyzygl.2018.06.023

Abstract

Abstract:

We investigated sixty-five plots and forty analytic dominant individuals in the natural secondary Quercus variabilis forest in Taihang Mountains to establish the growth model of the dominant tree average height based on ANN and the existing function.The result showed that the optimum model structure of natural secondary Quercus variabilis forest in Taihang Mountains was 1∶2∶1.ANN didn’t depend on existing function,which was better than existing function in the fitting effect and was more suitable for building the growth model.

Key words: Quercus variabilis, natural secondary forest, height model, ANN, Taihang Mountains, growth model

CLC Number:

S758

CHEN Chen, LIU Guangwu, SHEN Jiemei, GAO Fuling. Establishment of Height Model for Natural Secondary Quercus variabilis Forest in Taihang Mountains[J]. FOREST RESOURCES WANAGEMENT, 2018, (6): 146-149.

Figures/Tables 4

Fig.1

Tab.1

Tab.2

Fig.2

龄阶 /a	样本数 /个	实测优势木平均高/m	ANN优势木树高拟合值/m	对数函数优势木树高拟合/m	负指数函数优势木树高拟合/m	线性回归函数优势高拟合/m
5	65	2.482	2.608	2.5038	2.9212	4.9755
10	50	5.115	4.8993	5.3276	5.1806	6.2491
15	54	7.568	7.5494	7.5889	7.3557	7.5227
20	45	9.651	9.9836	9.4751	9.3191	8.7963
25	40	11.892	11.7934	11.0930	11.0509	10.0699
30	37	13.122	12.9509	12.5096	12.5678	11.3435
35	22	13.543	13.6598	13.7695	13.8968	12.6171
40	11	14.245	14.1895	14.9039	15.0650	13.8907
45	6	14.876	14.8592	15.9355	16.0968	15.1643
50	4	15.768	16.0251	16.8815	17.0127	16.4379
55	4	18.143	17.6866	17.7550	17.8301	17.7115
60	4	19.532	19.1528	18.5662	18.5632	18.9851
65	2	19.743	19.9655	19.3236	19.2240	20.2587
70	1	19.876	20.3036	20.0338	19.8222	21.5323
合计	344

方程名称	表达式	β₁	β₂	β₃	R²	p	P_c/%	r/%
对数函数曲线	Ht=β₁+β₂ln(A+β₃)	-30.312	11.400	12.789	0.988	2.89e^-11	96.32	99.33
负指数函数曲线	Ht=β₁exp(β₂/(A+β₃))	31.537	-37.503	10.763	0.985	6.14e^-13	95.72	99.16
线性回归方程	Ht=β₁+β₁A	3.7019	0.25472	0.949	3.940e^-9	92.72	97.43

[1]	黄家荣. 森林生长的人工神经网络建模[M]. 北京: 中国农业出版社, 2006.
[2]	张瑜, 贾黎明, 郑聪慧, 等. 秦岭地区栓皮栎天然次生林地位指数表的编制[J]. 林业科学, 2014,50(4):47-54.
[3]	郑聪慧, 贾黎明, 段劼, 等. 华北地区栓皮栎天然次生林地位指数表的编制[J]. 林业科学, 2013,49(2):79-85.
[4]	侯元兆, 幸良, 国吉. 栎类经营[M].1版. 北京: 中国林业出版社, 2017.
[5]	孟宪宇. 测树学[M]. 北京: 中国林业出版社, 2006.

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