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中国沙漠 ›› 2012, Vol. 32 ›› Issue (1): 132-139.

• 生物与土壤 • 上一篇    下一篇

临泽绿洲农田土壤肥力质量时空变化特征

刘文杰1,2, 苏永中1*, 陈生云2, 杨 荣1, 王雪峰1, 范桂萍1   

  1. 1.中国科学院寒区旱区环境与工程研究所 临泽内陆河流域研究站/黑河生态水文与流域科学重点实验室, 甘肃 兰州 730000;
    2.中国科学院寒区旱区环境与工程研究所 冰冻圈科学国家重点实验室/祁连山冰川与生态环境观测研究站, 甘肃 兰州 730000
  • 收稿日期:2011-03-22 修回日期:2011-06-14 出版日期:2012-01-20 发布日期:2012-01-20

Spatio-temporal Changes of Cropland Soil Fertility Quality in Linze Oasis, Gansu, China

LIU Wen-jie1,2, SU Yong-zhong1, CHEN Sheng-yun2, YANG Rong1, WANG Xue-feng1, FAN Gui-ping1   

  1. 1.Linze Inland River Basin Research Station & Laboratory of Heibe River Eco-Hydrology and Basin Science, Cold and Arid Regions Environmental and Engineering Research Institute, Chinese Academy of Sciences, Lanzhou 730000, China;
    2.Qilian Shan Station of Glaciology and Ecologic Environment, State Key Laboratory of Cryospheric Sciences, Cold and Arid Regions Environmental and Engineering Research Institute, Chinese Academy of Sciences, Lanzhou 730000, China
  • Received:2011-03-22 Revised:2011-06-14 Online:2012-01-20 Published:2012-01-20

摘要: 干旱区荒漠绿洲农田土壤肥力质量的研究是绿洲功能和生产力评价的一个重要方面。通过1982年和2008年临泽绿洲农田287个样点耕层土壤(0~20 cm)有机质、全氮、碱解氮、速效磷和速效钾数据,利用地理信息系统和地统计学分析手段,研究了26 a来土壤肥力质量的变化特征。结果表明,研究区土壤有机质、全氮、碱解氮、速效磷和速效钾的含量为13.8 g·kg-1、0.81 g·kg-1、64.4 mg·kg-1、32.3 mg·kg-1、199 mg·kg-1,较1982年分别提高了13.5%、7.8%、9.3%、225.6%和26.8%;土壤肥力指标的变异性较大,变异系数均大于25%;模糊数学综合评价方法适合研究区土壤肥力质量评价,土壤肥力质量综合值由1982年的强度空间变异发展为中等空间变异;根据全国农业地力等级划分标准,研究区土壤属于4、5、6、7级,较1982年的土壤肥力呈上升趋势。土壤肥力综合值分布图可以为该区域土壤资源的合理利用提供理论依据。

关键词: 绿洲农田, 土壤肥力质量, 地统计学, 地理信息系统, 空间变异性

Abstract: An understanding of soil fertility and its change in oasis cropland plays crucial role in sustainable development of agriculture in arid areas. Geographical information system and geo-statistics were employed to reveal spatial and temporal variability of soil fertility quality in topsoil (0~20 cm) in Linze oasis cropland in northwestern of China during 1982—2008. Soil fertility quality indices in 287 soil samples in the study area included soil organic matter (SOM), total N, available N, available P, and available K. Results showed that concentrations of SOM, total N, available N, available P, and available K were 13.8 g·kg-1, 0.81 g·kg-1, 64.4 mg·kg-1, 32.3 mg·kg-1, 199 mg·kg-1, respectively, and they increased from 1982 to 2008 by 13.5%, 7.8%, 9.3%, 225.6%, and 26.8%, respectively. The variation coefficients of soil fertility indicators were more than 25%. Fuzzy mathematics comprehensive evaluation method is a valuable tool for evaluation of soil fertility quality in the study area. The integrated soil fertility quality developed from an intensive spatial variability in 1982 into a moderate spatial variability. The soil fertility quality in 2008 in the study area were 4, 5, 6 and 7 grades based on national agricultural soil fertility grading standards, and there were increasing trends for soil fertility compared with in 1982. Distribution map of integrated soil fertility quality in the study provides new insights in the reasonable utilization of soil resources.

Key words: soil fertility quality, geo-statistics, geographical information system, spatial variability

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