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杭州湾湿地土壤酶活性分布特征及其与活性有机碳组分的关系
  • ISSN号:1673-3290
  • 期刊名称:湿地科学与管理
  • 时间:2011
  • 页码:54-58
  • 分类:S154.2[农业科学—土壤学;农业科学—农业基础科学]
  • 作者机构:[1]中国林科院亚热带林业研究所,浙江富阳311400, [2]西南大学资源环境学院,重庆400716
  • 相关基金:国家自然科学基金项目(31000296); 中国林科院基本科研业务费专项(CAFYBB2008018)
  • 相关项目:潮滩湿地植物对磷素形态转化及截留的影响机制研究
中文摘要:

选取了杭州湾滨海湿地芦苇Phragmites australis湿地、互花米草Spartina alterniflora湿地、海三棱藨草Scirpus mariqueter湿地以及光滩湿地,研究了土壤脲酶、蔗糖酶、β-葡萄糖苷酶、磷酸酶活性及土壤溶解性碳(DOC)、土壤微生物量碳(MBC)在0~20cm土层的分布特征及其内在相关性,探讨酶活性与土壤有机碳及其组分的关系。结果表明,表层(0~5cm)土壤的酶活性和有机碳含量最高,随着土壤深度的增加,土壤酶活性和土壤有机碳含量呈下降趋势。相关分析表明,土壤碱性磷酸酶、蔗糖酶与总有机碳呈显著正相关,土壤脲酶与土壤溶解性有机碳呈显著正相关,蔗糖酶、β-葡萄糖苷酶以及碱性磷酸酶活性与土壤微生物量碳或溶解性碳呈负相关,表明不同的土壤酶对湿地土壤有机碳库组成的贡献不同。

英文摘要:

To understand the influence of vertical dynamics of soil enzyme activities on the active carbon pool in Hangzhou Bay wetland,the vertical distribution in 0-20cm depth of soil urease,invertase,β-glucosidase,phosphatase and active arganic carbon indicators(microbial biomass carbon,MBC;dissolved organic carbon,DOC) were measured and the relationship between the enzyme activities and the soil organic carbon and its components were analyzed.The results indicated that enzyme activities and organic carbon indicators of topsoil layer were the greatest.Soil enzyme activities and the amount of active organic carbon(MBC,DOC) decreased from the surface down to 20 cm.Correlation analysis revealed that the soil enzyme activities were significantly positive correlated to soil organic carbon content.And urease activity with DOC had the greatest correlation coefficient,however,the activities of invertase,β-glucosidase,and phosphatase had the greatest negative correlation with DOC and MBC,the activities of phosphatase and invertase had the greatest correlation with TOC.Different soil enzymes have different contributions to the soil organic carbon pool.

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期刊信息
  • 《湿地科学与管理》
  • 中国科技核心期刊
  • 主管单位:国家林业局
  • 主办单位:中国林业科学研究院
  • 主编:
  • 地址:北京海淀区颐和园后中国林科院28号信箱
  • 邮编:100091
  • 邮箱:sdkxgl@sina.com
  • 电话:010-62889021
  • 国际标准刊号:ISSN:1673-3290
  • 国内统一刊号:ISSN:11-5389/G3
  • 邮发代号:80-544
  • 获奖情况:
  • 国内外数据库收录:
  • 中国中国科技核心期刊
  • 被引量:1439