| 赵良菊,肖洪浪,郭天文,包兴国,杨文玉.甘肃省灌漠土土壤养分空间变异特征[J].干旱地区农业研究,2005,(1):70~74 |
| 甘肃省灌漠土土壤养分空间变异特征 |
| Spatial fertility variability of irrigated desert soil in Hexi Region of Gansu province |
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| DOI：10.7606/j.issn.1000-7601.2005.01.13 |
| 中文关键词: 灌漠土 土壤养分 空间变异性 地质统计学 |
| 英文关键词:spatial variability irrigated desert soil soil nutrients geostatistics |
| 基金项目:中国科学院知识创新项目(KZCX1-09-05)； PPIC北京办事处NMS基金项目 |
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| 中文摘要: |
| 结合传统统计与地质统计学方法对甘肃省河西地区武威灌漠土有机质、NH+4-N、有效P及K的空间变异性进行了分析。结果表明:所测定的四种土壤养分含量具有较大的空间变异,变异系数在20.299%～53.812%之间,土壤NH+4-N及有效P含量的变异较大,变异系数分别为53.812%及51.347%;土壤K和有机质的变异系数分别为43.155%和20.299%。地质统计学分析表明该区域土壤P、K有效含量具有强烈的空间相关性,其块金值/基台值[C0/(C0+C)]分别为8.031%和0.560%;土壤NH+4-N及有机质具有中等程度的空间相关性,[C0/(C0+C)]分别为39.111%和32.351%。土壤有机质、NH+4-N、速效P及K等含量的最大相关距在129～2354m之间,其中土壤有效N含量的最大相关距最长(2354m),有机质含量次之(981m),K含量最短(129m)。土壤OM及NH+4-N的分形维数分别为1.891和1.912,土壤有效P及K的分形维数均为1.984。随机因素如种植制度、施肥方式等耕作措施对土壤有机质及氮的影响较大,而对土壤磷、钾的影响较小。该土壤性质的克立格插值结果显示出一定的空间相似性,显示地质统计学方法可用于分析土壤肥力在空间上的变异。 |
| 英文摘要: |
| On the basis of mathemtical statistics and geo-statistics methods, the spatial variability of contents of soil Organic Matter, NH+4-－N, available P and K were analysized in Wuwei irrigated desert soil in Hexi region of Gansu Province. The results showed that the spatial variabilities of the tested soil properties were sharp, and CV of those soil properties varied from 20.299% to 53.812%, and NH+4-－N and available P were high and their CV were 53.812% and 51.347%, respectively; The CV of OM and available K were 43.155% and 20.299%. The results of geostatistical analysis revealed that the contents of P and K had strong spatial variability and their nugget-sill ratios were 8.031% and 0.560%, respectively. The spatial dependences of soil NH+4-－N and OM are moderate. The ranges of soil OM, NH+4-－N, available P and K were 981 m, 2 354 m, 207 m and 129 m, respectively. The fractal demisions of soil OM and NH+4-－N were 1.891 and 1.912, respectively, and the fractal demisions of soil available P and K were all 1.984. Namely, the spatial variabilities of soil OM and NH+4-－N were strong and soil available P and K were weak. The results of Kriging showed that to some extend soil nutrients had spatial dependence and geostatistics method was able to be used to analyze the spatial variability of soil nutrients. |
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