| Spatial autocorrelation analysis on soil nutrient contents of plough layer——A case from Guojia Town, Qinan County |
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| DOI：10.7606/j.issn.1000-7601.2016.01.11 |
| Key Words: plough layer soil nutrients spatial autocorrelation Guojia Town |
| Author Name | Affiliation | | CHEN Ying | College of Resources and Environment, Gansu Agricultural University, Lanzhou, Gansu 730070, China | | FENG Ding-bang | College of Resources and Environment, Gansu Agricultural University, Lanzhou, Gansu 730070, China | | CAI Li-qun | College of Resources and Environment, Gansu Agricultural University, Lanzhou, Gansu 730070, China | | PEI Ting-ting | College of Resources and Environment, Gansu Agricultural University, Lanzhou, Gansu 730070, China |
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| Abstract: |
| In order to explore the spatial distribution of soil nutrient content at Qinan County of Gansu Province, we employed the method of spatial autocorrelation using software like GeoDa095i and ArcGIS. The results showed that: (1) the spatial distribution of the soil nutrient elements in Guojia, Qinan County had a fixed spatial distribution rather than random; (2) Under the rook weight matrix, global-type spatial autocorrelation analysis indicated positive spatial correlations among soil organic matter, total nitrogen content, available phosphorus and available potassium content showed,with the Moran's I indexes being 0.3088, 0.0024, 0.2678, 0.2264, respectively. By contrast, negative correlation existed between total phosphorus and total potassium content, the Moran’s I values -0.0522 and -0.2220, respectively. (3) Local spatial autocorrelation analysis revealed a “high-high” and ”low-low” concentrating pattern and a “low-high” and “high-low” dispersing pattern for nutrients content, a “high-high” and “low-low” pattern for organic matter, total nitrogen, available phosphorus and available potassium, and a “low-low” pattern for total phosphorus. |
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