基于GWR模型的土壤有机质空间分布特征与驱动因素研究以齐齐哈尔地区为例

    Spatial distribution characteristics and driving factors of soil organic matter based on GWR model: A case study of Qiqihar region

    • 摘要:
      研究目的 土壤有机质作为陆地土壤碳库的主体,对全球碳循环及土壤肥力具有关键调节作用,直接关乎国家粮食安全。为进一步揭示齐齐哈尔土壤有机质的空间异质性成因,采用更准确高效的分析方法,厘清该区有机质的空间分布特征,深入探究自然与人为因素的耦合驱动机制,揭示黑土碳库的稳定性及其环境效应。
      研究方法 依托松嫩平原齐齐哈尔地区黑土地地表基质调查的测试结果,采用地理加权回归(GWR)模型对黑龙江省齐齐哈尔地区依安、富裕、拜泉、克山、克东、讷河、龙江和甘南八县的浅层(0~100 cm)、中层(100~200 cm)和深层(200~300 cm)有机质含量进行预测和进一步研究。
      研究结果 结果显示,GWR模型预测的不同深度有机质含量与实测有机质含量基本一致,均呈现东北高西南低的特点。浅层土壤有机质GWR模拟含量平均值26.50 g/kg,实测平均值27.75 g/kg;中层土壤有机质GWR模拟平均值10.07 g/kg,实测平均值10.05 g/kg;深层土壤有机质GWR模拟平均值 6.48 g/kg,实测平均值6.47 g/kg。
      结论 土壤K2O、全磷、全氮等理化性质和年均气温、年均降雨量、海拔等环境因素均对不同深度土壤有机质含量造成不同程度的影响。

       

      Abstract:
      Objective As the principal component of terrestrial soil carbon pools, soil organic matter (SOM) plays a pivotal regulatory role in global carbon cycling and soil fertility, directly underpinning national food security. Qiqihar, widely recognized as the "Hometown of Black Soil," is characterized by its distinct accumulation of organic matter. To further elucidate the drivers of its spatial heterogeneity, this study employs accurate, intuitive, and efficient analytical methodologies to map the spatial distribution patterns of SOM across the region. Furthermore, it quantitatively investigates the coupled driving mechanisms of natural and anthropogenic factors, thereby revealing the stability of the black soil carbon pool and its associated environmental implications.
      Methods Based on test data from a surface substrate survey of the chernozem in the Qiqihar region of the Songnen Plain, this study employed a Geographically Weighted Regression (GWR) model to predict and analyze the soil organic matter content. The analysis focused on the plain areas of eight counties in Qiqihar—Yi’an, Fuyu, Baiquan, Keshan, Kedong, Nehe, Longjiang, and Gannan—across three depth layers: shallow (0~100 cm), middle (100~200 cm), and deep (200~300 cm).
      Results The analysis revealed that the GWR model predictions for organic matter content at different depths were largely consistent with the measured values. Both showed a spatial pattern of higher concentrations in the northeast and lower concentrations in the southwest. For the shallow layer, the average GWR-simulated soil organic matter content was 26.50 g/kg, compared to a measured average of 27.75 g/kg. In the middle layer, the GWR-simulated average was 10.07 g/kg, versus a measured average of 10.05 g/kg. For the deep layer, the GWR-simulated average was 6.48 g/kg, closely matching the measured average of 6.47 g/kg.
      Conclusions The results indicate that soil physicochemical properties, including K2O, total phosphorus, and total nitrogen, as well as environmental factors such as mean annual temperature, mean annual precipitation, and elevation, all exert varying degrees of influence on the soil organic matter content at different depths.

       

    /

    返回文章
    返回