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生态学杂志 ›› 2010, Vol. 29 ›› Issue (05): 910-916.

• 研究报告 • 上一篇    下一篇

洞庭湖退田还湖区不同土地利用方式下土壤微生物数量与酶活性特征

王月容1;周金星2**;周志翔1;张卓文1;孙启祥2   

  1. 1华中农业大学园艺林学学院,武汉 430070;2中国林业科学研究院林业研究所,北京 100091
  • 出版日期:2010-05-10 发布日期:2010-05-10

Soil microbial quantity and enzyme activity of different land-use patterns under converting polders back into wetlands in Dongting Lake area.

WANG Yue-rong1;ZHOU Jin-xing2;ZHOU Zhi-xiang1;ZHANG Zhuo-wen1;SUN Qi-xiang2   

  1. 1College of Horticulture and Forestry Sciences, Huazhong Agricultural University, Wuhan 430070, China;2Research Institute of Forestry, Chinese Academy of Forestry, Beijing 100091, China
  • Online:2010-05-10 Published:2010-05-10

摘要: 以钱粮湖垸为例,研究了洞庭湖退田还湖区林地(Ⅰ)、园地(Ⅱ)、旱地(Ⅲ)、水田(Ⅳ)和荒地(Ⅴ)等不同土地利用方式下的土壤微生物数量、酶活性及其典范相关关系。结果表明:5种土地利用方式下不同土层细菌、放线菌数量均以旱地最高,真菌数量以荒地最高;细菌是土壤微生物的主要类群,占全部微生物的比例为44.42%~92.93%,其次为 真菌数量,所占比例为4.89%~42.76%,放线菌数量最少,所占比例为1.71%~24.52%;不同土地利用方式下0~50 cm土层磷酸酶、脲酶、蛋白酶和脱氢酶活性变化范围为0.01~0.07 mg·g-1·d-1、0.01~0.05 mg·g-1·d-1、0.92~7.11 mg·kg-1·d-1和0.01~0.38 μl·g-1·d-1;土壤磷酸酶、脲酶、脱氢酶活性分别以园地、荒地、水田最低,而旱地土壤蛋白酶活性总体最低;土壤微生物典范变量(U)中,放线菌数量与之呈正相关,回归系数最大(0.174),其次为细菌数量(0.003),而真菌数量则出现负相关(-0.215);土壤酶活性典范变量(V)中,脲酶活性与之呈正相关,回归系数最大(10.557),其次为脱氢酶活性(1.616),而磷酸酶活性(-17.275)与蛋白酶(-0.041)则出现负相关。不同层次土壤微生物数量及酶活性在典范变量上的聚集趋势可为该区域土壤健康诊断与立地类型划分提供依据。

关键词: 作物, 水分亏缺, 补偿效应

Abstract: Taking the Qianlianghu polder in Dongting Lake area as a case, this paper studied the soil microbial quantity, enzyme activity, and their canonical correlations of five typical land-use patterns, i.e., forestland, garden land (vegetable and orchard), nonirrigated cropland (cotton, maize, and sugar cane), irrigated cropland (rice), and wasteland in the area. Among the five landuse patterns, nonirrigated cropland had the highest quantity of soil bacteria and actinomycetes, while wasteland had the highest quantity of fungi. Bacterium was the main microbial group, occupying 44.42%-92.93% of the total, followed by fungus 4.89%-42.76% and actinomycete 1.71%-24.52%. The phosphatase, urease, proteinase and dehydrogenase activities in 0-50 cm soil layer were 0.01-0.07 mg·g-1·d-1,0.01-0.05 mg·g-1·d-1, 0.92-7.11 mg·kg-1·d-1, and 0.01-0.38 μl·g-1·d-1, respectively, with the lowest phosphatase, urease, and dehydrogenase activities in garden land, wasteland, and irrigated cropland, and the lowest proteinase activity in nonirrigated cropland. The quantities of actinomycetes and bacteria had positive correlations with the canonical variable of soil microbes, with the correlation coefficient being 0.174 and 0.003, respectively, but the quantity of fungi had a negative correlation with the variable -0.215. The activities of urease and dehydrogenase had positive correlations with the canonical variable of soil enzyme activities, with the correlation coefficient being 10.557 and 1.616, respectively, but the activities of phosphatase and proteinase had negative correlations with the variable, their correlation efficient being -17.275 and -0.041, respectively. Through canonical correlation analysis, coordination analysis, and cluster analysis, it could be possible to use the microbial quantity and enzyme activity in different soil layers for the diagnosis of soil health and the classification of site type.

Key words: Crops, Water deficit, Compensation effect