Spatial nutrients that includes OM, Avail.K, Avail.P and TN distribution and the influences on vegetation patterns in Dalingshan was the cardinal focus of this study. Ecological data (moisture content, bulk density and topography) were considered. One way ANOVA was statistically tested of spatial distribution of major nutrients across 4 plots which indicated non significant at p = 0.05 level, TN (p = 0.0216), OM (p = 0.00004), Avail.K (p = 0.00216) respectively. Furthermore one way ANOVA was tested on acidity level (pH) measured against the nutrients distribution TN (p = 0.0031), OM (p = 0.0004), Avail.K (p = 0.0216) respectively at non significance level but available phosphorous was significantly different (p = 0.6412). The study revealed unique spatial patterns of soil nutrient distribution in Dalingshan and species abundance while vegetation census posed a new direction of study that may be adapted for a broad range of regional vegetation and floristic modeling. This paper suggests that forest soil nutrients and vegetation interaction can be utilized for further studies on multifactor ecosystem responses towards regional ecological restoration.
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