Notice of Retraction: The Community Features and Factors Influencing Surface Runoff of Restoration Vegetation in Xinfeng National Demonstration Zone, SE China

Autor: Dai-hua Qi, Zhi-yong Xia, Lin Huang
Rok vydání: 2010
Předmět:
Zdroj: 2010 4th International Conference on Bioinformatics and Biomedical Engineering.
DOI: 10.1109/icbbe.2010.5516616
Popis: Xinfeng, is the typical region of the vegetation restoration of serious soil and water loss zone and a typical national demonstration zone for biological measures to control soil erosion in Jiangxi Province, SE China, in which the relationship between surface runoff and environmental factors, soil features and community features of restoration vegetation were analyzed using Detrended correspondence analysis (DCA) and Detrended canonical correspondence analysis (DCCA) and Stepwise multiple regression. The results were as follows: (1) Total biomass and water capacity of litter, species richness in IX were highest, and those in VII and VIII were lowest. Runoff, runoff coefficient and erosion amount were lowest in IX, and those were highest in VII and VIII. (2) DCA figure revealed a gradient of runoff and erosion amount which increased from the left to the light along the first DCA axis; it revealed a gradient of water-holding capacity of litter that increased from the bottom to the top along the second DCA axis. DCCA figure showed the gradient of features of soil porosity, canopy and water-holding capacity of litter along the first DCCA axis; it revealed a gradient of slope position along the second DCCA axis. (3) Stepwise multiple regression analyses showed that amount of surface runoff significantly decreased with canopy coverage, and significantly increased with slope. Runoff coefficient significantly decreased with total biomass of litter. Erosion amount significantly increased with amount of surface runoff and slope, and significantly decreased with canopy coverage. In sum, high diverse mixed species in restoration and avoiding disturbance in this region can decrease runoff and maintain high species richness.
Databáze: OpenAIRE