[1]WANG Hua-wei,GAO Peng,LV Sheng-qiao,et al.Driving Factors Analysis of Ecological Degradation in Ecological Restoration Area of Western Liaoning Province——A Case Study of Beipiao City[J].Research of Soil and Water Conservation,2011,18(01):121-124.
Copy
Research of Soil and Water Conservation[ISSN 1005-3409/CN 61-1272/P] Volume:
18
Number of periods:
2011 01
Page number:
121-124
Column:
Public date:
2011-02-20
- Title:
-
Driving Factors Analysis of Ecological Degradation in Ecological Restoration Area of Western Liaoning Province——A Case Study of Beipiao City
- Author(s):
-
WANG Hua-wei1, GAO Peng1, LV Sheng-qiao1, DING Fu-jun2, WANG Liang2
-
1. Shandong Agricultural University, College of Forestry/Shandong Provincial Key Laboratory of Soil Erosion and Ecological Restoration, Tai’an, Shandong 271018, China;
2. Water Conservation Bureau of Chaoyang of Liaoning Province, Chaoyang, Liaoning 122000, China
-
- Keywords:
-
ecological degradation; driving force; principal component analysis; multiple linear regression analysis
- CLC:
-
X171.4
- DOI:
-
-
- Abstract:
-
In order to provide the basis for the construction of ecological restoration project, using the method of the principal component analysis and the multiple linear regression analysis, the dominant driving force factors of ecological degradation of the ecological restoration area in Beipiao city of Liaoning Province were studied based on the soil remote sensing interpretation data of 1998, 2003 and 2008 and the relative data of statistical yearbook of history. The results showed that the rank of the ecological degradation effective factors is: land reclamation ratio > per capita raising the livesto > per capita economic forest area > population > per grain output > slope of the research area > average annual precipitation > per cultivated land area>per output value of agriculture. Multiple linear regression analysis models indicate that overgrazing and overexploitation of the land are the main actuating factors causing soil erosion and ecological degradation, and the slope of the research area is the second.