环境与生态

霍山县县域范围内不同空间尺度下农田土壤有机碳变异分析

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  • 1. 皖西学院资源环境与旅游管理学院, 安徽六安 237012;
    2. 南京农业大学农业资源与生态环境研究所, 南京 210095;
    3. 六安市土壤肥料站, 安徽六安 237000;
    4. 霍山县土壤肥料站, 安徽霍山 237200;
    5. 霍山县森林公安局, 安徽霍山 237200
李典友(1963- ),男,安徽舒城人,副教授,博士,主要从事土壤生态与碳循环研究。E-mail:lidianyou2000@163.com

收稿日期: 2011-11-13

  修回日期: 2012-04-05

  网络出版日期: 2012-09-20

基金资助

国家自然科学基金资助项目(40830528);皖西学院安徽省重点学科人文地理学基金资助

Variabilities of soil organic carbon in farmlands at different spatial scales in Huoshan County, Anhui Province

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  • 1. College of Resources Environment and Tourism Management, West Anhui University, Lu'an 237012, Anhui, China;
    2. Institute of Resources, Ecosystem and Environment of Agriculture, Nanjing Agricultural University, Nanjing 210095, China;
    3. Lu'an Soil and Fertilizer Station, Lu'an 237072, Anhui, China;
    4. Huoshan Soil and Fertilizer station, Huoshan 237200, Anhui, China;
    5. Huoshan Forest Policy Department, Huoshan 237200, Anhui, China

Received date: 2011-11-13

  Revised date: 2012-04-05

  Online published: 2012-09-20

摘要

基于安徽省霍山县第二次土壤普查数据,提取2005~2008年耕地监测数据资料建成土壤有机碳含量数据库,对耕地监测的有机碳数据按县域内不同空间尺度进行了统计分析。结果表明:20年来该县农田表土有机碳含量明显提高,显示农田土壤的有机碳库积累。县域范围内耕地土壤有机碳含量的不同尺度的变异系数介于4.53%~14.91%。村民组(自然村)单元内变异性最高,有机碳含量乡镇间变异性低于行政村间变异性。因此,从县级尺度的农田土壤碳计量来说,以乡镇尺度采样研究比村级尺度可靠性要高。影响县域内农田土壤有机碳含量与变异的动力因子主要是农业利用和农田基本建设,茶、桑和水稻利用下农田土壤有机碳含量明显较高。

本文引用格式

李典友, 陈良松, 李军, 倪建华, 李小刚, 潘根兴, 陆保国, 黄登林, 孙贤斌 . 霍山县县域范围内不同空间尺度下农田土壤有机碳变异分析[J]. 地理研究, 2012 , 31(9) : 1571 -1579 . DOI: 10.11821/yj2012090003

Abstract

Spatial variabilities of soil organic carbon contents in croplands and the influencing factors have been the fundamental issues on estimating SOC stock and C sequestration potential.In this paper,archived data of the 2nd national soil survey and the soil monitoring of farmlands during 2005-2008 in Huoshan County,Anhui Province were collected to create a SOC distribution database.Statistical analysis of the SOC at different spatial scales within the county was conducted.The results showed that SOC contents in the county's farmlands have increased over the last 20 years,indicating SOC accumulation in the farmlands.The statistical variation coefficient of SOC ranged from 4.53% to 14.91% in terms of the size of spatial scales.Variabilities of village scale were much bigger than those of township scale.Thus it is suggested that soil sampling and statistics of SOC contents at spatial scale of townships should obtain higher reliability of SOC pool data than at village scale in the county.Prominent factors influencing SOC levels included land use types and agricultural managements.Results show that SOC contents in tea garden,mulberry field and rice paddy were high in the study area.
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