journal article·2023-03-15Open access

The Quantified and Major Influencing Factors on Spatial Distribution of Soil Organic Matter in Provincial-Scale Farmland—A Case Study of Shandong Province in Eastern China

Xin Zhao, Zhihui Zhang, Mingsong Zhao, Xiangyun Song, Xinwei Liu, Xiaoguang Zhang

Applied Sciences· Volume 13· Issue 6

Abstract

Soil organic matter (SOM) is an important component of soil and plays an important role in improving the soil’s physical and chemical properties. Ascertaining the spatial distribution of soil organic matter and its main controlling factors in the context of provincial scale farming is of important guiding significance for soil carbon sequestration, emission reduction and sustainable utilization. Using 257 soil profiles from the second soil survey in Shandong Province, GIS, we applied geostatistical methods to study the spatial distribution characteristics of SOM in topsoil. In addition, correlation and regression analyses were used to explore the main controlling factors over the spatial variation of SOM. The results showed that the mean amount of SOM in Shandong province ranged from 1.20–74.90 g·kg−1, with a coefficient of variation of 73.52%, which is a medium level of variation. The distribution of SOM in the study area was patchy, with higher levels of organic matter in the central, eastern, and northern parts, and lower levels of organic matter in the south-west. The comprehensive explanatory ability of all factors reached 52.30%. Soil type and parent material were the main controlling factors for the spatial variability of SOM in the Shandong Province, followed by soil texture and land use type, with topography and climatic factors having relatively little influence.
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Research context

OpenAlex topics: Soil Geostatistics and Mapping · Soil Carbon and Nitrogen Dynamics · Land Use and Ecosystem Services

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

College of Resources and Environment, Qingdao Agricultural University, Qingdao 266109, China

Qingdao Agricultural Remote Sensing Application Engineering Research Center, Qingdao 266109, China

Academy of Dongying Efficient Agricultural Technology and Industry on Saline and Alkaline Land, Qingdao Agricultural University, Dongying 257091, China

School of Surveying and Mapping, Anhui University of Science and Technology, Huainan 223001, China

Funding

by the National Key Research and Development Program of China · the Key Research and Development Program of Shandong Province, China · National Natural Science Foundation of China

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