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应用灰色关联度法评价灌草复合型种植模式-以金沙江干热河谷区的云南永胜县为例 被引量:8

Application of Gray Relevant Analysis in Cultivation Mode Evaluation of Shrub-Grass Composite:A Case Study of Hot-Arid Valley of the Jinsha River in Yongsheng County,Yunnan
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摘要 2005年在金沙江干热河谷区的云南永胜县退化山地进行灌草组合模式的筛选,以土壤改良效果评价8种灌草种植模式,确定最优灌草组合模式。应用加权灰色关联分析和聚类评价方法,以土壤有机质、全氮、全磷、全钾、碱解氮、速效磷、速效钾等为指标,对土壤生态恢复贡献值进行定量分析和聚类评价。结果表明:"木豆(Cajanuscajan (L.) Millsp.)+非洲狗尾草(Setaria sphacelata (Schumach.) Stapf & C. E. Hubb. cv. Narok)+高羊茅(Festuca arundinacea Schreb. cv. Fine Lawn)+大翼豆(Macroptilum atropurpureum (DC.) Urban)+白三叶(Trifolium repens L. cv. Haifa)+杂三叶(Trifolium hybridum L.)"灌草复合型种植模式关联度值r=0.773为最大,聚类分析为优,对土壤贡献值优于其他种植模式,适合于大面积推广,是金沙江干热河谷区退化山地土壤生态恢复的优化灌草复合型种植模式。 Based on the effectiveness of soil improvement, 8 composite shrub-grass cultivation modes were established and evaluated in 2005 in the degraded mountain areas in hot-arid valley of the Jinsha River in Yongsheng County, Yunnan Province. The soil improvement contribution value of different shrub-grass cultivation modes was evaluated by gray relation analysis and cluster analysis according to the evaluation indices including soil organic matter, total N, total P, total K, available N, available P, and available K. The results show that the gray relation degree (r=0. 773) and contribution value of ‘Cajanus cajan L. Millsp. + Setaria sphacelata (Sehumaeh.) Stapf & C. E. Hubb. ev. Narok + Festuca arundinacea L. ev. Fine Lawn + Macroptilum atropurpureum (DC.) Urban + Trifolium repens L. ev. Haifa + Trifolium hybridum L. ' were highest among the evaluated composite shrub-grass modes. The selected shrub-grass cultivation mode is appropriate for broadly application and believed effective for the soil ecological restoration in the degraded mountain areas in hot-arid valley of the Jinsha River.
出处 《草地学报》 CAS CSCD 2008年第2期196-201,共6页 Acta Agrestia Sinica
基金 云南省自然科学基金重点项目(2003C0008Z)
关键词 釜沙江干热河谷区 退化山地 灌草复合型种植模式 灰色关联 聚类分析 Hot-arid valley of the Jinsha river Degraded mountain areas Cultivation mode of composite shrub-grass Gray relation analysis Cluster analysis
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