Ma Ling, Ding Xin-hua, Gu Wei, Ma Wei
Northeast Forestry University, Harbin 150040, China.
Ying Yong Sheng Tai Xue Bao. 2011 Jul;22(7):1717-24.
This paper studied the spatial distribution patterns of soil nutrients and biological characteristics and related major affecting factors in seasonal wet meadow in Zhalong wetland. In the meadow, the soil nutrients, microbial communities, and microbial biomass carbon and nitrogen showed an obvious vertical distribution, but the soil enzyme activities had a complicated spatial distribution due to the effects of multi factors. Stepwise linear regression analysis showed that soil microbial biomass carbon and nitrogen had significant positive correlations with soil beta-glucosidase, urease, and phosphatase activities (P<0.05), soil organic carbon had significant correlations with soil actinomycetes and soil catalase activity (P<0.05), soil available K, total N, alkali-hydrolyzable N, and C/N ratio were significantly correlated with soil bacteria (P<0.05), actinomycetes (P<0.05), beta-glucosidase activity (P<0.05), and microbial biomass nitrogen (P<0.05) , respectively, whereas soil total P and pH had no significant correlations with soil microbial activity (P>0.05). Two models, one for soil nutrients evaluation and another for soil microbiological prediction, were constructed by principal component analysis.
本文研究了扎龙湿地季节性湿草甸土壤养分和生物学特性的空间分布格局及其主要影响因素。在草甸中，土壤养分、微生物群落以及微生物生物量碳和氮呈现出明显的垂直分布，但由于多种因素的影响，土壤酶活性具有复杂的空间分布。逐步线性回归分析表明，土壤微生物生物量碳和氮与土壤β-葡萄糖苷酶、脲酶和磷酸酶活性呈显著正相关（P<0.05），土壤有机碳与土壤放线菌和土壤过氧化氢酶活性呈显著相关（P<0.05），土壤速效钾、全氮、碱解氮和碳氮比分别与土壤细菌（P<0.05）、放线菌（P<0.05）、β-葡萄糖苷酶活性（P<0.05）和微生物生物量氮（P<0.05）显著相关，而土壤全磷和pH与土壤微生物活性无显著相关性（P>0.05）。通过主成分分析构建了两个模型，一个用于土壤养分评价，另一个用于土壤微生物学预测。
