Eco-environment Quality Evaluation of Qinling National Arboretum

doi:10.13466/j.cnki.lyzygl.2020.03.016

Abstract

Abstract:

In order to evaluate the status of eco-environment quality and the distribution characteristics of Qinling National Arboretum,methods of Ecological Index(EI) and Remote Sensing based Ecological Index(RSEI) were adopted.The results showed that the EI of Qinling National Arboretum is 72.80,which means that the overall ecological environment status is good and the ecological function is relatively stable.In the northern part of arboretum,the nearby of S107 road,the hillsite of Guangtou Mountain and the gulch of Tianyu River,the eco-environment quality is relatively poor;while which of the Shouyang Mountain and the Yanjia Mountain was good.The output of the EI method can be used for an overall evaluation about the eco-environment quality,while the RSEI method can be used to evaluate the spatial distribution of eco-environmental quality.The combination of these two methods provide a good reference for the quantitative evaluation of the eco-environment quality.

Key words: eco-environment evaluation, EI, RSEI, principal component analysis, Qinling

CLC Number:

X826

JIANG Shirong, TONG Yawen, LIU Yaohua, ZHANG Qingfeng, HONG Bo. Eco-environment Quality Evaluation of Qinling National Arboretum[J]. FOREST RESOURCES WANAGEMENT, 2020, (3): 85-88.

Figures/Tables 5

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References 18

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指标	生物丰度指数BAI	植被覆盖指数VEG	水网密度指数RDI	土地胁迫指数LSI	污染负荷指数PLI
数值	84.01	84.85	17.75	0.06	53.65
权重	0.35	0.25	0.15	0.15	0.1

指标	第一主成分 PCA1	第二主成分 PCA2	第三主成分 PCA3	第四主成分 PCA4
湿度Wet	0.51	0.54	-0.56	-0.37
绿度VFC	0.38	-0.02	-0.25	0.89
干度NDBSI	-0.56	0.78	0.04	0.27
温度LST	0.52	0.33	0.79	0.01
特征值	0.19	0.04	0.01	0.01
贡献率/%	77.09	95.07	99.65	100.00

指标	主成分方程	主成分得分
PCA1	0.26X₁+0.32X₂-0.34X₃-0.24X₄	0.95
PCA2	0.19X₁-0.01X₂-0.15X₃+0.58X₄	0.02
PCA3	-0.28X₁+0.47X₂+0.03X₃+0.18X₄	0.18
PCA4	0.26X₁+0.2X₂+0.48X₃+0.005X₄	-0.19

指标	湿度 Wet	绿度 VFC	干度 NDBSI	温度 LST	均值
湿度Wet	1	0.77	-0.95	-0.37	0.75
绿度VFC	0.77	1	-0.90	-0.58	0.80
干度NDBSI	-0.95	-0.90	1	0.47	0.83
温度LST	-0.37	-0.58	0.47	1	0.52
RSEI	0.91	0.94	-0.97	-0.65	0.87