| Spatial variability and influencing factors of farmland soil organic matter in composite landforms |
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| DOI：10.7606/j.issn.1000-7601.2021.01.23 |
| Key Words: soil organic matter compound geomorphological area spatial variation local spatial autocorrelation influencing factors random forest algorithm |
| Author Name | Affiliation | | ZHANG Wantao | College of Forestry, Northwest A&F University, Yangling, Shaanxi 712100, China | | XU Mingxiang | College of Forestry, Northwest A&F University, Yangling, Shaanxi 712100, China； State Key Laboratory of Soil Erosion and Dryland Farming on Loess Plateau, Institute of Soil and Water Conservation, CAS and Ministry of Water Resources, Yangling, Shaanxi 712100, China | | LI Binbin | State Key Laboratory of Soil Erosion and Dryland Farming on Loess Plateau, Institute of Soil and Water Conservation, CAS and Ministry of Water Resources, Yangling, Shaanxi 712100, China | | JI Jingyi | College of Resource and Environment, Northwest A&F University, Yangling, Shaanxi 712100, China |
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| Abstract: |
| Understanding the spatial variability of farmland soil organic matter（SOM）in composite landforms has important guiding value for farmland production and management. In this study, Baoji City, Shaanxi Province was used as the research area. By using geostatistical method, the spatial variability of farmland SOM and its influencing factors were analyzed by comparing the characteristics of SOM variability under single and composite landforms. The results showed that the farmland SOM content in the study area was between 3~34.23 g·kg-1, the average value was 18.23 g·kg-1, and the coefficient of variation was 25.73%, showing a moderate variation. The SOM variation coefficients of farmland with different landform types were: middle altitude hills > low altitude hills > middle altitude terraces > middle altitude plains > low altitude plains > low altitude platform. The spatial variability of SOM content had obvious trend characteristics, there was anisotropy in all directions, and the spatial variability in the north\|south direction was greater than that in the east\|west direction. The farmland SOM content in the study area had significant local spatial autocorrelation, but the local spatial autocorrelation of farmland SOM content under each single landform type was not significant. SOM content nugget value was 41%, which was more affected by structural factors. The farmland SOM in the study area was mainly affected by the combined effects of longitude, latitude, precipitation, temperature, altitude, and other factors. Among them, latitude and altitude mainly showed direct effects, and other factors mainly showed indirect effects. This study revealed that the spatial distribution of farmland SOM in the compound geomorphic area had a strong spatial autocorrelation and was more affected by structural factors such as terrain and altitude. |
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