Spatial Variability of Nutrient Properties in Black Soil of Northeast China

ZHANG Xing-Yi; SUI Yue-Yu; ZHANG Xu-Dong; MENG Kai; S.J.HERBERT

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Spatial Variability of Nutrient Properties in Black Soil of Northeast China

机译：东北黑土养分特征的空间变异

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A total of 1400 soil samples from the plow layer (0-20 cm) at an approximate interval of 5 km were collected in the autumn of 2002 over the entire black soil arable crops region to determine the spatial variability of seven variables, such as total organic matter content (OMC), total N, total P, total K, alkali-dissolvable N (AN), available P (AP) and available K (AK), with classical statistics and geostatistical analysis across the entire black soil area in Northeast China. In nonsampled areas ordinary kriging was utilized for interpolation of estimated nutrient determinations. Classical statistics revealed highly significant (P ≤ 0.01) correlations with all seven of the soil properties, except for OMC with AP and total K with AK. In addition, using coefficients of variation, all soil properties, except for total K, were moderately variable. A geostatistical analysis indicated that structural factors, such as parent material, terrain, and water table, were the main causes of the spatial correlations. Strong spatial correlations were noted with OMC, total N, total P, AN, and AP, while they were moderate for total K and AK. The effective spatial autocorrelation of OMC, total N, total P, and AN ranged from 1 037 to 1 353 km, whereas the ranges of total K, AP, and AK were only from 6 to 138 km. The fit of the experimental semi-variograms to the theoretical models indicated that except for AN, kriging could successfully interpolate other six variables. Thus, the geostatistical method used on a large scale could accurately evaluate the spatial variability of most black soil nutrient properties in Northeast China.

机译：2002年秋季，在整个黑色土壤可耕作物区域中，以大约5 km的间隔从耕层（0-20 cm）中总共收集了1400个土壤样品，以确定七个变量的空间变异性，例如总和。有机质含量（OMC），总氮，总磷，总钾，碱溶性氮（AN），有效磷（AP）和有效钾（AK），并在东北部整个黑土地区进行经典统计和地统计学分析中国。在非采样区域，普通克里金法用于估算营养素含量。古典统计数据显示，与土壤中的所有七个特性都具有高度显着的相关性（P≤0.01），除了OMC和AP以及总K和AK。此外，使用变异系数，除总钾外，所有土壤性质均适度变化。地统计分析表明，结构因素（例如母体材料，地形和地下水位）是空间相关性的主要原因。与OMC，总氮，总磷，AN和AP的空间相关性很强，而总K和AK的相关性中等。 OMC，总N，总P和AN的有效空间自相关范围为1037至1353 km，而总K，AP和AK的范围仅为6至138 km。实验半变异函数与理论模型的拟合表明，除AN外，克里金法可以成功插入其他六个变量。因此，大规模的地统计学方法可以准确地评估东北大多数黑土养分特性的空间变异性。

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来源
《土壤圈（英文版）》 |2007年第1期|19-29|共11页
作者
ZHANG Xing-Yi; SUI Yue-Yu; ZHANG Xu-Dong; MENG Kai; S.J.HERBERT;
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作者单位

Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Harbin 150081 (China);

Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Harbin 150081 (China);

Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang 110016 (China);

Heilongjiang University, Harbin 150080 (China);

Department of Plant, Soil and Insect Sciences, University of Massachusetts, Amherst, MA 01003 (USA);

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收录信息中国科学引文数据库(CSCD);中国科技论文与引文数据库(CSTPCD);
原文格式 PDF
正文语种 chi
中图分类农业基础科学;
关键词
black soil; China; geostatistics analysis; soil survey; spatial variability;

机译：黑土;中国;地统计学;土壤调查;空间变异性;

Spatial Variability of Nutrient Properties in Black Soil of Northeast China

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