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中国农学通报 ›› 2014, Vol. 30 ›› Issue (14): 218-222.doi: 10.11924/j.issn.1000-6850.2013-2186

• 资源 环境 生态 土壤 气象 • 上一篇    下一篇

微山县农田耕层土壤有机碳空间变异及动态变化分析

武婕 李玉环 李增兵 方正 董晓晓   

  • 收稿日期:2013-08-14 修回日期:2013-09-10 出版日期:2014-05-15 发布日期:2014-05-15
  • 基金资助:
    山东省自然科学基金项目“鲁中南流域地表碳库和碳截流遥感定量评估及土地利用优化模拟”(Y2008H03);山东省科技攻关项目“耕地保护区地表有机碳通量遥感监测及其优化控制模拟”(2009GG10006006)。

Spatial Variability and Dynamic Change of Cropland Furrow Soil Organic Carbon in Weishan County

  • Received:2013-08-14 Revised:2013-09-10 Online:2014-05-15 Published:2014-05-15

摘要: 为研究微山县农田耕层土壤有机碳空间变异规律和动态变化情况,基于地统计学和GIS对2009农田土壤耕层有机碳进行空间变异分析,并进行克吕格插值分析土壤有机碳空间分布格局及影响因素,然后与第二次土壤普查数据对比研究了两不同时间断面下土壤有机碳含量的动态变化特征。结果表明:微山县耕层土壤有机碳最佳拟合模型为指数模型,具有较弱的空间自相关性,空间自相关距离为4500 m。从空间分布格局上看,土壤有机碳分布呈明显的块状,有机碳含量中部较高,南部和北部较低。从第二次土壤普查到2009年近30年间,土壤有机碳含量的平均值有明显的增加,由5.345 g/kg上升到8.558 g/kg,增幅60.11%。不同土壤类型下,增幅不同,其中棕壤增幅最大,为187.03%,增幅最小的为砂姜黑土,为41.64%。不同土地利用类型下,水田类型下土壤有机碳增幅最小,为56.84%,旱地类型下,土壤有机碳增幅最大,为87.75%。本研究为该区耕地质量的提高、农田生态系统的碳循环和农业的可持续发展提供可靠依据。

关键词: 序列分析, 序列分析

Abstract: In order to study on the law of spatial variability and dynamic change of the cropland furrow soil organic carbon, geostatistics and GIS were applied to analyze the spatial variability of cropland furrow soil organic carbon in 2009 and used spatial Kriging to analyze spatial distribution pattern and influence factors by using the field investigating soil sample data in 2009. Then the interpolation result was used to compare with the datum of the second soil survey and analyzed the dynamic change characters of SOC under different time sections. The result showed that the best fitted semivariogram model of cropland furrow soil organic carbon in Wenshan was exponential model and ranges of spatial autocorrelation was 4500m. Judging from the spatial distribution pattern, the distributions of SOC showed block characteristics, the content of SOC was found higher in the middle of the area, while lower in the south and north. In nearly 30 years from the second soil survey to 2009, there was clearly on the rise in the mean of SOC content which from 5.345 g/kg to 8.558 g/kg and the increases was 60.11%. Under different soil types, the increases were different. The biggest increases were Brown soil and the smallest was mortar black soil, the increases were 187.03% and 41.64% respectively. Under different land use types, the smallest soil organic carbon increase was 56.84% in paddy field and the largest increase of soil organic carbon was 87.75% in dry field. This study could provide a reliable basis for the increase of this area cultivated land production, carbon cycles of farmland ecosystem and sustainable development of agriculture.