中国农业科技导报 ›› 2020, Vol. 22 ›› Issue (3): 100-107.DOI: 10.13304/j.nykjdb.2019.0068

• 生物制造 资源生态 • 上一篇    下一篇

半干旱区土壤有机碳时空变异特征研究

李龙1,秦富仓1*,姜丽娜2,姚雪玲3   

  1. 1.内蒙古农业大学沙漠治理学院, 呼和浩特 100018; 2.中国林业科学研究院林业新技术研究所, 北京 100091; 3.中国林业科学研究院, 北京 100091
  • 收稿日期:2019-01-25 出版日期:2020-03-15 发布日期:2019-03-15
  • 通讯作者: *通信作者 秦富仓 E-mail:qinfc@126.com
  • 作者简介:李龙 E-mail:lilongdhr@126.com;
  • 基金资助:
    国家自然科学基金青年基金项目(41807079);内蒙古农业大学人才引进项目(NDYB2017-21)。

Spatio-temporal Variability of Soil Organic Carbon in Semi-arid Area

LI Long1, QIN Fucang1*, JIANG Lina2, YAO Xueling3   

  1. 1.Desert Science and Engineer College, Inner Mongolia Agricultural University, Huhhot 100018, China; 2.Research Institute of Forestry New Technology, Chinese Acadmy of Forestry, Beijing 100091, China; 3.Chinese Academy of Forestry, Beijing 100091, China
  • Received:2019-01-25 Online:2020-03-15 Published:2019-03-15

摘要: 清晰地认识区域土壤有机碳的时空变异特征,能够为土壤质量动态监测和科学利用土地资源提供重要保障。选择赤峰市敖汉旗作为研究区,在实测调查数据的基础上,对比分析了敖汉旗在1985—2014年土壤有机碳的时空变异特征。结果表明: 1985年和2014年土壤有机碳含量分别为6.91和7.49 g·kg-1,且在空间上均呈现由南向北逐渐降低的分布特征。1985年,土壤有机碳含量在研究尺度内具有较强的空间自相关性,经过30 a的变化,农、林、草3种土地有机碳含量平均分别增长5.92%、10.22%与8.47%,土壤有机碳的空间自相关距离缩短。退耕还林、还草以及沙地植被恢复后,土壤有机碳含量均有显著提升。

关键词: 土壤有机碳, 时空变异, 地统计学, 半干旱区

Abstract: A clear understanding of the spatial and temporal variation characteristics of soil organic carbon can provide an important guarantee for the dynamic monitoring of soil quality and the scientific utilization of land resources. The geostatistic was used to analyze the temporal and spatial variation of SOC content in Aohan Chifeng based on soil survey data. The result showed that the mean contents of SOC in 1985 and 2014 were 6.91 and 7.49 g·kg-1. And the spatial distribution characteristics gradually decreased from south to north. In 1985, soil organic carbon content had a strong spatial autocorrelation in the research scale. After 30 a of change, the average increase of soil organic carbon in agriculture, forestry and grassland was 5.92%, 10.22% and 8.47%, respectively. The soil organic carbon content was significantly improved after the restoration of forest return, grass and sandy vegetation.The spatial autocorrelation distance of soil organic carbon was shortened. The soil organic carbon content was significantly improved after the restoration of forest return, grass and sandy vegetation.

Key words: soil organic carbon, spatio-temporal variability, geostatistics, semi-arid region