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作 者:张少良[1,2] 张兴义[1] 于同艳[1,2] 隋跃宇[1] 高崇升[1]
机构地区:[1]中国科学院东北地理与农业生态研究所黑龙江省黑土生态重点实验室,黑龙江哈尔滨150081 [2]中国科学院研究生院,北京100049
出 处:《土壤通报》2008年第6期1277-1283,共7页Chinese Journal of Soil Science
基 金:国家重点基础研究发展计划资助(2007CB407203);国家“十一五”科技支撑计划(2006BAD05B05)
摘 要:研究在哈尔滨市所辖黑土区的6个市县进行,共采集表层(0~20cm)黑土土样411个,测定了全部样点的有机质、全氮的养分含量,同时测定了部分样点的碱解氮、速效磷、速效钾的养分含量,利用地统计学中协同克立格分析方法并结合经典统计学和GIS技术分析碱解氮、有效磷、速效钾养分空间异质性。分析表明有效磷空间分布符合指数模型,碱解氮、速效钾符合高斯模型,其块金值与基台值之比分别为50.0%、39.7%、6.3%,有效磷和碱解氮为中等程度空间相关水平,速效钾为强度空间相关水平;与克里格对比,应用协克里格插值绘制的三种速效养分空间分布图精度显著提高,为协克里格方法在土壤养分空间异质性分析上的应用提供了实践依据。Four hundred and eleven soil samples (0-20 cm) soil samples were collected in six counties of Harbin area. All of the soil organic matter (OMC) and total nitrogen (TN), and part of available nitrogen (AN), available phosphorus (AP) and available potassium (AK) of soil samples were tested. The spatial variabilities of soil AN, AP, AK were analyzed by Cokriging of Geostatistics, combined with classical statistics and GIS technique. The results showed that semivariogram of AP was fitted close to Exponential model, others were described with Ganssian model, their ratios of nugget to sill were 50.0 %, 39.7 % and 6.3 %, respectively, which indicated the spatial autocorrelation of AN and AP were moderate, and AK was strong. The precision of the three available nutrients were analyzed by cokriging. Compared with kriging, the precision of the three available nutrient maps were perfectly improved. The study provided an example to analyze soil spatial variability with cokriging.
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