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京杭运河淮安段水利防护林群落护堤防蚀效应
  • ISSN号:1673-4831
  • 期刊名称:《生态与农村环境学报》
  • 时间:0
  • 分类:X173[环境科学与工程—环境科学]
  • 作者机构:[1]江苏省林业科学研究院,江苏南京211153, [2]江苏省水利厅,江苏南京210029
  • 相关基金:江苏省水利科技项目(2012094);江苏省自然科学基金重点项目(BK2010094)
中文摘要:

对京杭运河淮安段水利防护林群落的护堤防蚀效应进行了研究.结果表明,防护林植被可以明显改善地表土壤物理性能,明显增加土壤总孔隙度和毛管孔隙度,降低土壤容重.不同植物群落对地表土壤的护堤防蚀效应明显不同.早熟禾群落和女贞群落可以有效提高土壤有机质含量和土壤通气蓄水效应.有植被分布的地表土壤抗蚀性比裸地显著增强(P<0.05).相对而言,早熟禾群落土壤水稳性指数最大(0.892),其余依次为女贞群落(0.835)、梨树群落(0.791)、桃树群落(0.530)、水杉群落(0.397)和裸地(0.341).植物群落土壤的抗蚀性与植物根系生物量、根数和土壤有机质含量分别呈显著正相关(P<0.01).

英文摘要:

Effect of riverside shelter forest communities protecting embankment from erosion in the Huai'an section of the Beijing-Hangzhou Grand Canal was studied. It was found that the sheher forests significantly improved physical properties of the soil by increasing total porosity and capillary porosity, and decreasing soil bulk density. The effect varied with the composition of the vegetation community. Poa annua communities and Ligustrum lucidum communities significantly in- creased the content of soil organic matter, soil aeration and water holding capacity. Of the embankment, sections covered with vegetation were significantly higher in erosion resistance than those of bare land. Relatively speaking, the soil under Poa annua community was the highest in soil erosion resistance ( 0. 892) , and followed by those under Ligustrum lucidum (0. 835), Pyrus bretschneideri (0. 791), Prunus persica (0. 530), and Metasequoia glyptostroboides (0. 397), and bare land(0. 341 ). Positive relationships were observed of soil erosion resistance with root biomass, average root number, and soil organic matter content with correlation coefficient being 0. 961 1, 0. 965 9 and 0. 774 2, respectively.

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期刊信息
  • 《生态与农村环境学报》
  • 北大核心期刊(2011版)
  • 主管单位:中华人民共和国环境保护部
  • 主办单位:国家环境保护部南京环境科学研究所
  • 主编:蔡道基
  • 地址:江苏省南京市蒋王庙街8号
  • 邮编:210042
  • 邮箱:ere@vip.163.com
  • 电话:025-85287036
  • 国际标准刊号:ISSN:1673-4831
  • 国内统一刊号:ISSN:32-1766/X
  • 邮发代号:28-114
  • 获奖情况:
  • 全国优秀环境科技期刊,江苏省优秀期刊
  • 国内外数据库收录:
  • 美国化学文摘(网络版),英国农业与生物科学研究中心文摘,荷兰地学数据库,荷兰文摘与引文数据库,美国生物科学数据库,日本日本科学技术振兴机构数据库,中国中国科技核心期刊,中国北大核心期刊(2008版),中国北大核心期刊(2011版),中国北大核心期刊(2014版)
  • 被引量:7943