Preliminary estimation of forest quality in Xinjiang based on continuous forest resource data

doi:10.3969/j.issn.1000-2006.201805054

JOURNAL OF NANJING FORESTRY UNIVERSITY ›› 2019, Vol. 43 ›› Issue (5): 96-102.doi: 10.3969/j.issn.1000-2006.201805054

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Preliminary estimation of forest quality in Xinjiang based on continuous forest resource data

PENG Yan¹(), TIAN Xuelin²^,^*(), ZHANG Xinping¹, Teliewuhan · Kenjiehan¹, CHEN Xin¹, WANG Xuejiao¹, XU Lin¹

1. Forestry Planning Academy of Xinjiang, Urumqi 830001, China
2. Xinjiang University, Urumqi 830046, China

Received:2018-05-22 Revised:2018-10-07 Online:2019-10-08 Published:2019-10-08
Contact: TIAN Xuelin E-mail:38995795@qq.com;1002756818@qq.com

Abstract

Abstract:

【Objective】 This study aimed to understand the recent status and changes of forest quality in Xinjiang. 【Method】 First, data on approximately 40 000 plots of Xinjiang forest with continuous inventory in 2001, 2006, 2010 and 2016 were extracted, and principal component analysis was used to propose influencing factors, such as average tree height, average diameter at breast height, age group, tree species, canopy density, accessibility, naturalness, regeneration grade and health grade. The dynamics and influencing factors of forest resource qualities in each year were analyzed. 【Result】 The results showed that the influence of forest structure on forest quality was greater than that of the forest productivity, and the influence of both were far greater than that of the forest stability and forest ecological influence on forest quality; the indexes of average tree height, average diameter, canopy density and age group were significantly affected. 【Conclusion】 This comprehensive analysis revealed improvement in forest quality over 2001-2016.However, some significant differences in forest quality remained in different regions. The areas of Aletai, Yili State of Xinjiang, Mongolian Autonomous Prefecture of Bortala, Changji Prefecture, north of Bayinguoleng were high quality, and presented high levels of comprehensive and dense distribution, followed by Akesu, Tacheng and Kiz Kirgiz Autonomous Prefecture. Forests in southern Xinjiang, which were sparsely distributed with relatively low forest quality.

Key words: forest quality, productivity, forest structure, Xinjiang

CLC Number:

S757

PENG Yan, TIAN Xuelin, ZHANG Xinping, Teliewuhan · Kenjiehan, CHEN Xin, WANG Xuejiao, XU Lin. Preliminary estimation of forest quality in Xinjiang based on continuous forest resource data[J]. JOURNAL OF NANJING FORESTRY UNIVERSITY, 2019, 43(5): 96-102.

Figures/Tables 7

Fig.1

Table 1

Table 2

Fig.2

Table 3

Sample plot evaluation indexes and their weight in Xinjiang during 2001 to 2016"

年份 year	森林因子 forest factor	指标组相对权重 relative weight of index group	指标 index	指标相对权重 relative weight of index	绝对权重 absolute weight of index	年份 year	森林因子 forest factor	指标组相对权重 relative weight of index group	指标 index	指标相对权重 relative weight of index	绝对权重 absolute weight of index
2001	1	0.696	平均树高	0.217	0.151	2010	1	0.485	平均胸径	0.153	0.074
			龄组	0.214	0.149				郁闭度	0.142	0.069
			平均胸径	0.213	0.149				腐殖层	0.114	0.055
			郁闭度	0.181	0.126				可及度	0.101	0.049
			林木生活力	0.153	0.106				枯枝落叶	0.090	0.044
			坡度	0.137	0.096				植被总盖度	0.086	0.042
			可及度	0.101	0.071		2	0.224	起源	0.368	0.082
	2	0.304	优势树种	0.315	0.096				林种	0.339	0.076
			起源	0.291	0.088				自然度	0.294	0.066
			林种	0.254	0.077		3	0.191	灾害等级	0.359	0.069
			病虫害等级	0.141	0.043				灾害类型	0.351	0.067
2006	1	0.411	平均树高	0.230	0.095				健康等级	0.289	0.055
			平均胸径	0.223	0.092		4	0.100	树种结构	1.000	0.100
			龄组	0.221	0.091	2016	1	0.458	平均树高	0.148	0.068
			郁闭度	0.189	0.078				龄组	0.146	0.067
			腐殖层	0.137	0.056				平均胸径	0.144	0.066
	2	0.219	起源	0.360	0.079				郁闭度	0.144	0.066
			林种	0.335	0.073				树种结构	0.119	0.055
			自然度	0.305	0.068				可及度	0.107	0.049
	3	0.165	灾害类型	0.356	0.059				腐殖层	0.010	0.046
			灾害等级	0.336	0.055				枯枝落叶	0.091	0.042
			健康等级	0.307	0.051		2	0.261	起源	0.350	0.091
	4	0.111	更新等级	0.263	0.029				自然度	0.327	0.085
			植被总盖度	0.257	0.029				林种	0.323	0.084
			树种结构	0.254	0.028		3	0.178	灾害等级	0.353	0.063
			坡度	0.226	0.025				灾害类型	0.333	0.059
	5	0.095	可及度	0.544	0.052				健康等级	0.314	0.056
	5	0.095	枯枝落叶	0.456	0.043		4	0.103	植被总盖度	0.392	0.041
2010	1	0.485	平均树高	0.157	0.076				更新等级	0.325	0.034
2010	1	0.485	龄组	0.156	0.076				坡度	0.282	0.029

Table 3

Table 4

Fig.3

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指标index	标准化赋值 standardized assigment
指标index	1		2		3
平均树高/m average tree height		≥15		5.0~14.9		<5
平均胸径/cm average DBH		≥20		8~19.9		<8
龄组age group		3		2,4		1,5
郁闭度canopy density		≥0.7		0.4~0.69		0.2~0.39
腐殖层厚/cm thickness of humic layer		≥10		5.0~9.9		<5
自然度naturalness		1		2		3
树种结构 tree species structure		>2种		2种树种		纯林
坡度/(°) slope		<26		26~39		≥40
植被总盖度/% total vegetation coverage		≥70		50~69		<50
灾害类型type of disaster		0		1~20		20~40
灾害等级calamity grade		1		2		3
健康等级health grade		1		2		3
更新等级update grade		1		2		3
可及度accessibility		3		2		1
枯枝落叶层厚/cm thickness of dead branches and deciduous leaves layer		≥5		2.0~4.9		<2

年份 year	组件 assembly	总计 total	方差百分比/% percentage of variance	累积/% cumulative
2001	1	5.001	45.464	45.464
2001	2	2.180	19.816	65.279
2006	1	4.681	27.534	27.534
	2	2.494	14.669	42.203
	3	1.874	11.026	53.229
	4	1.263	7.430	60.659
	5	1.081	6.361	67.020
2010	1	5.391	31.714	31.714
	2	2.489	14.643	46.356
	3	2.122	12.483	58.839
	4	1.113	6.550	65.389
2016	1	5.565	32.736	32.736
	2	3.173	18.662	51.398
	3	2.162	12.718	64.116
	4	1.257	7.392	71.508

年份 year	等级(Q) grade(Q)	综合森林质量权重 comprehensive forest quality weight	森林因子相对权重forest factor relative weight
年份 year	等级(Q) grade(Q)	综合森林质量权重 comprehensive forest quality weight	1	2	3	4	5
2001	Ⅰ级(<1)	1.106	0.848	0.258
	Ⅱ级(≥1~2)	2.091	1.695	0.396
	Ⅲ级(≥2~3)	3.077	2.543	0.534
2006	Ⅰ级(<1)	0.957	0.411	0.176	0.165	0.111	0.095
	Ⅱ级(≥1~2)	1.805	0.822	0.243	0.329	0.222	0.190
	Ⅲ级(≥2~3)	2.653	1.233	0.309	0.494	0.333	0.285
2010	Ⅰ级(<1)	0.955	0.485	0.179	0.191	0.100
	Ⅱ级(≥1~2)	1.796	0.969	0.245	0.382	0.200
	Ⅲ级(≥2~3)	2.638	1.454	0.311	0.573	0.301
2016	Ⅰ级(<1)	0.725	0.068	0.211	0.164	0.178	0.103
	Ⅱ级(≥1~2)	1.246	0.137	0.297	0.250	0.356	0.207
	Ⅲ级(≥2~3)	1.767	0.205	0.382	0.335	0.534	0.310

Preliminary estimation of forest quality in Xinjiang based on continuous forest resource data

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