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退耕地养分和微生物量对土壤酶活性的影响
  • 期刊名称:中国环境科学
  • 时间:0
  • 页码:1375-1382
  • 语言:中文
  • 分类:X53[环境科学与工程—环境工程] S158.3[农业科学—土壤学;农业科学—农业基础科学]
  • 作者机构:[1]中国科学院水利部水土保持研究所,西北农林科技大学,陕西杨凌712100, [2]中国科学院研究生院,北京100049
  • 相关基金:“十一五”国家科技支撑项目(2006BAD09B03); 国家“973”项目(2007CB407205); 中国科学院西部行动计划“黄土高原水土保持与可持续生态建设试验示范研究”(KZCX2-XB2-05); 国家自然科学基金资助项目(40801094)
  • 相关项目:黄土丘陵区自然植被演替过程根际微生物响应及其效应分析
中文摘要:

为了解侵蚀环境下植被恢复土壤酶活性对土壤养分和微生物量指标的响应规律,以典型侵蚀环境黄土丘陵区纸坊沟流域生态恢复1~50年撂荒地长期定位试验点为研究对象,采用典型逐步回归和非线性拟合来分析各指标间的耦合关系.结果表明,土壤酶活性除α淀粉酶外,均与土壤养分因子和微生物量指标有较高的相关性(P〈0.05).在土壤酶活性和养分因子间,尿酶和纤维素酶主要受总氮影响,碱性磷酸酶、过氧化氢酶、蔗糖酶和多酚氧化酶主要受可利用氮影响,蔗糖酶和多酚氧化酶还受到有机质的影响;在土壤酶活性和微生物量指标间,尿酶主要受微生物量磷影响,碱性磷酸酶、过氧化氢酶、蔗糖酶和多酚氧化酶均受微生物量碳影响,纤维素酶则受微生物量氮影响,但多酚氧化酶与可利用氮、有机质和微生物量碳呈负相关;此外,它们之间均存在良好的对数关系(y=b+alnx,P〈0.05).

英文摘要:

In order to make a better understanding on the effects of soil nutrient and soil microbial biomass on soil enzyme activities under erosion environment,long-term located farmland with an abandoned age sequences of 0,1,5,7,10,15,20,25,30,40,and 50 years in Zhifanggou watershed (8.27km2 ),Shaanxi Province were studied,which was a typical erosion environment on loess hilly region. The coupling relationships among indexes of soil enzyme with soil nutrient and microbial biomass were analyzed by using stepwise and nonlinear regression. Soil enzyme activities had a significant correlation with soil fertilizer and soil microbial biomass except α-amylase (P0.05). For soil enzyme activities and soil fertilizer factors,Urease (URE) and cellulase (CEL) were affected by total N,alkaline phosphatase (ALP) and catalase (CAT) were affected by available N,saccharase (SAC) and polyphenol oxidase (PPO) were affected by available N and organic matter. For soil enzyme activities and soil microbial biomass,Urease (URE) was affected by soil microbial biomass P; alkaline phosphatase (ALP),catalase (CAT),saccharase (SAC) and polyphenol oxidase (PPO) were affected by soil microbial biomass C,cellulase (CEL) was affected by soil microbial biomass N. However,polyphenol oxidase (PPO) decreased with the increase of available N,organic matter and soil microbial biomass C. There was a significant logarithmic relationship among those indexes (y=b+alnx,P0.05).

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