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| Analysis of spatial distribution pattern of vegetable soil properties based on Moran's I |
| Received:March 23, 2020 |
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| KeyWord:Moran's I;open vegetable field;greenhouse vegetable field;non-point source pollution;spatial distribution pattern |
| Author Name | Affiliation | E-mail | | WANG Qiang | School of Resources and Environment, Anhui Agricultural University, Hefei 230036, China | | | ZHENG Meng-lei | School of Resources and Environment, Anhui Agricultural University, Hefei 230036, China | | | YE Zhi-shan | School of Resources and Environment, Anhui Agricultural University, Hefei 230036, China | | | YANG Shan-lian | School of Resources and Environment, Anhui Agricultural University, Hefei 230036, China | | | MA You-hua | Institute for New Rural Development, Anhui Agricultural University, Hefei 230036, China | yhma@ahau.edu.cn |
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| Abstract: |
| To explore the influence of open vegetable field and greenhouse vegetable field planting patterns on the spatial distribution pattern of soil properties at spatial and temporal scales, Moran's I spatial analysis method was used to study the spatial autocorrelation between 375 topsoil samples collected in 2017 in Feidong County from Anhui Province, open vegetable fields data from 2016, and greenhouse vegetable fields data in 2019. The results showed that the shorter the planting time of the open vegetable fields, the higher the average value of total nitrogen and available potassium. The shorter the planting time of greenhouse vegetable fields, the higher the value of organic matter, total nitrogen, available phosphorus, available potassium and pH. These index values of soil properties included the organic matter, total nitrogen, available phosphorus, and pH of open vegetable fields in the study area and were lower than that of greenhouse vegetable fields, except for available potassium. The closer the distance to the town, the higher the soil organic matter, total nitrogen content, and pH; this showed a downward trend as the distance increased. The spatial density of the two vegetable fields was positively correlated with the spatial distribution of organic matter and total nitrogen, negatively correlated with the spatial distribution of available phosphorus and available potassium, and negatively correlated with the spatial distribution of pH in the soil. Based on these results, the soil property index values of the two vegetable fields can be identified as significantly different due to the influence of planting time and distance from the town. Driven by economic interests, the planting time of greenhouse vegetable fields is shorter but the soil nutrients accumulate faster. The distribution density of vegetable fields influences the spatial distribution pattern of soil properties. The planting of vegetable fields has a certain correlation with soil acidification and nutrient accumulation. Through Moran's I spatial analysis, the regionalized management of the vegetable production area can be realized, providing a basis for further analysis of the diffusion evolution mechanism of soil properties. |
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