基于交角和密集度的竞争指数构建及评价

doi:10.11707/j.1001-7488.20210419

Abstract

Abstract:

Objective: In order to provide a basis for better calculating the competition status of secondary forest of Mongolian oak and over-logged spruce and fir forest, a new competition index was constructed by adding the crowding to the competition index based on intersection angle. Method: Three representative plots of Mongolian oak secondary forest and three plots of over-logged spruce and fir forests with an area of 1 hm² were selected in Tazigou and Jingouling forest farm of Wangqing Forestry Bureau, Jilin, China. The stands were investigated in 2013 and 2018, respectively. The competition index caCI based on intersection and crowding was constructed, dominant tree species were determined by dominance analysis, and the individual tree basal area growth model of dominant tree species was established to evaluate the competition index caCI, Hegyi, aCI and uaCI. Result: The results showed that caCI had a significant positive correlation with Hegyi, aCI and uaCI. The regression model and linear mixed-effects model of basal area growth showed that the basal area growth was positively correlated with the initial basal area, and negatively correlated with the competition index, suggesting that the major factor affecting the increment was the initial size of trees and that the competition among trees also had an effect on tree growth. The fitting accuracy of the linear mixed effect model was better than that of the regression model, which indicated that the growth dynamic of different tree species was significantly different, but the influence of the sample plot was slight. The fitting effect of the model with competition index was better than that of the model without competition index. Compared with Hegyi, aCI and uaCI, caCI showed the best performance in over-logged spruce-fir forests, followed by secondary forest of Mongolian oak, which indicated that caCI was suitable for forest with more complex spatial structure. Conclusion: The competition index caCI could effectively reflect the competition of secondary forest of Mongolian oak and over-logged spruce-fir forest, especially in the natural mixed forest with more complex forest structure.

Key words: competition index, crowding, mixed effect model, secondary forest of Mongolian oak, over-logged forest of spruce and fir

CLC Number:

S753.7

Xuefan Hu,Huiru Zhang,Guangshuang Duan,Jun Lu. Establishment and Evaluation of Tree Competition Index Based on Intersection and Crowding[J]. Scientia Silvae Sinicae, 2021, 57(4): 182-190.

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References 0

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样地号 Sample plot No.	树种组成(按断面积) Species composition (basal area)	坡位 Slope position	株数 Tree number	胸径DBH/cm			树高Tree height/m
样地号 Sample plot No.	树种组成(按断面积) Species composition (basal area)	坡位 Slope position	株数 Tree number	最小值 Min.	最大值 Max.	平均值 Mean	最小值 Min.	最大值 Max.	平均值 Mean
ZH-01	5QM 1PK 1TA 1AM 1BP 1PU	上Up	1 089	5.0	53.8	15.6	1.4	21.8	10.0
ZH-02	4QM 3BP 2OT 1LO	中Middle	618	5.0	50.7	13.6	1.8	22.9	14.3
ZH-03	5QM 2LO 1OT 1BP 1FM	中Middle	754	5.0	65.3	11.6	1.4	23.3	11.0
YLK-01	1 AN 1PJ 1PK 1LO 1BC 1TA 1PU 1AM 1BP 1OT	上Up	1 112	5.0	49.8	15.4	3.2	25.9	14.4
YLK-02	2TA 1PJ 1AN 1PK 1LO 1BC 1BP 1OT 1FM	上Up	1 138	5.0	47.8	15.8	3.0	33.0	15.5
YLK-03	3LO 2FM 1PK 1AN 1BC 1BP 1PJ	上Up	1 280	5.0	56.0	15.3	3.6	31.1	16.6

优势种Dominant tree species	株数Tree number	比例Percent (%)	断面积Basal area/m²	比例Percent (%)	d	胸径DBH/cm
优势种Dominant tree species	株数Tree number	比例Percent (%)	断面积Basal area/m²	比例Percent (%)	d	最小Min.	最大Max.	平均Mean
蒙古栎Q. mongolica	192	27.67	8.96	49.48	0.031 2	5.3	46.7	22.1
红松P. koraiensis	204	29.39	2.87	15.84	0.014 9	5.0	31.5	12.2
紫椴T. amurensis	139	20.03	2.41	13.32	0.011 0	5.2	40.0	12.9
小计Total	535	77.09	14.24	78.64		5.0	46.7	15.9
样地总计Plot	694	100.00	18.11	100.00		5.0	46.7	15.7

优势种Dominant tree species	株数Tree number	比例Percent (%)	断面积Basal area/m²	比例Percent (%)	d	胸径DBH/cm
优势种Dominant tree species	株数Tree number	比例Percent (%)	断面积Basal area/m²	比例Percent (%)	d	最小Min.	最大Max.	平均Mean
长白落叶松L. olgensis	193	30.02	5.25	31.23	0.038 0	9.0	33.6	17.9
水曲柳F. mandshurica	55	8.55	1.88	11.17	0.016 6	8.9	32.1	19.6
红松P. koraiensis	52	8.09	1.75	10.43	0.009 8	5.0	43.6	17.2
臭冷杉A. nephrolepis	80	12.44	1.75	10.43	0.006 4	5.4	29.2	15.6
枫桦B. costata	64	9.95	1.51	8.95	0.004 8	9.0	29.4	16.7
鱼鳞云杉P. jezoensis var. microsperma	30	4.67	1.23	7.34	0.004 1	8.0	31.2	18.0
白桦B. platyphylla	29	4.51	1.20	7.14	0.003 7	11.1	32.4	21.9
紫椴T. amurensis	52	8.09	1.101 9	6.56	0.003 5	5.0	40.7	13.9
小计Total	555	86.31	15.675 2	93.25		5.0	43.6	17.3
样地总计Plot	643	100.00	16.809 5	100.00		5.0	43.6	16.4

林分类型Stand type	竞争指数Competition index	线性回归模型Linear regression model			线性混合效应模型Linear mixed-effects model
林分类型Stand type	竞争指数Competition index	a	b₁	b₂	a	b₁	b₂
蒙古栎次生林 Secondary forest of Mongolian oak	caCI	-2.556	1.780	-0.815	-2.399	0.794	-0.919
	uaCI	-2.805	1.683	-0.345	-2.789	0.719	-0.515
	aCI	-2.508	1.675	-0.756	-2.256	0.720	-1.166
	Hegyi	-2.872	1.608	-0.056	-2.732	0.740	-0.049
	—	-2.648	1.827		-2.393	0.845
云冷杉过伐林Over-logged forest of spruce and fir	caCI	-3.298	1.291	-0.657	-2.891	0.666	-0.830
	uaCI	-3.538	1.189	-0.325	-3.219	0.607	-0.374
	aCI	-3.250	1.213	-0.593	-2.838	0.613	-0.807
	Hegyi	-3.448	1.249	-0.033	-3.103	0.636	-0.047
	—	-3.337	1.363		-2.991	0.693

林分类型Stand type	竞争指数Competition index	线性回归模型Linear regression model				线性混合效应模型Linear mixed-effects model
林分类型Stand type	竞争指数Competition index	R²	RMSE	TRE	AIC	R²	RMSE	TRE	AIC
蒙古栎次生林 Secondary forest of Mongolian oak	caCI	0.642	0.624	1.140	1 453.8	0.714	0.557	0.905	1 329.9
	uaCI	0.638	0.627	1.150	1 462.6	0.712	0.560	0.914	1 337.3
	aCI	0.640	0.625	1.140	1 457.9	0.717	0.554	0.896	1 323.0
	Hegyi	0.649	0.617	1.110	1 437.9	0.716	0.555	0.899	1 324.9
	—	0.635	0.630	1.160	1 466.1	0.706	0.566	0.933	1 349.4
云冷杉过伐林 Over-logged forest of spruce and fir	caCI	0.547	0.505	0.788	2 022.9	0.633	0.455	0.638	1 879.5
	uaCI	0.542	0.508	0.797	2 038.3	0.625	0.459	0.652	1 907.6
	aCI	0.543	0.507	0.794	2 033.8	0.629	0.457	0.645	1 893.0
	Hegyi	0.542	0.508	0.796	2 037.3	0.630	0.456	0.643	1 897.3
	—	0.536	0.511	0.806	2 052.3	0.618	0.463	0.663	1 924.2

Establishment and Evaluation of Tree Competition Index Based on Intersection and Crowding

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