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草业学报 ›› 2016, Vol. 25 ›› Issue (1): 64-75.DOI: 10.11686/cyxb2015249

• 研究论文 • 上一篇    下一篇

新疆伊犁地区草地土壤容重空间格局分析

周李磊1, 2, 朱华忠2, 钟华平3*, 杨华1, 索菲娅4, 邵小明5, 周星杰3   

  1. 1.重庆师范大学地理与旅游学院三峡库区地表过程与环境遥感重庆市重点实验室,重庆 400047;
    2.中国科学院地理科学与资源研究所资源与环境信息系统国家重点实验室,北京 100101;
    3.中国科学院地理科学与资源研究所陆地表层格局与模拟院重点实验室,北京 100101;
    4.新疆大学生命科学与技术学院,新疆 乌鲁木齐 830046;
    5.中国农业大学资源与环境学院,北京 100083
  • 收稿日期:2015-05-13 出版日期:2016-01-20 发布日期:2016-01-20
  • 通讯作者: *通信作者Corresponding author. E-mail:zhonghp@igsnrr.ac.cn
  • 作者简介:周李磊(1989-),男,江苏东海人,在读硕士。E-mail:zhoull_001@126.com*通信作者Corresponding author. E-mail:zhonghp@igsnrr.ac.cn
  • 基金资助:
    科技部国家科技基础性工作专项(2012FY111900-2,2011FY110400-3)和国家科技基础条件平台-地球系统科学数据共享平台(2005DKA32300)资助

Spatial analysis of soil bulk density in Yili, Xinjiang Uygur Autonomous Region, China

ZHOU Li-Lei1,2, ZHU Hua-Zhong2, ZHONG Hua-Ping3*, YANG Hua1, SUO Fei-Ya4, SHAO Xiao-Ming5, ZHOU Xing-Jie3   

  1. 1.Chongqing Key Laboratory of Earth Surface Processes and Environmental Remote Sensing in Three Gorges Reservoir Area,College of Geographical and Tourism,Chongqing Normal University, Chongqing 400047, China;

    2.State Key Laboratory of Resources and Environment Information System, Institute of Geographical Sciences and Natural Resources Researches, CAS, Beijing 100101, China;

    3.Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographical Sciences and Natural Resources Research, CAS, Beijing 100101, China;

    4.College of Life Science and Technology, Xinjiang University, Urumqi 830046, China;

    5.College of Resources and Environmental Sciences, China Agricultural University, Beijing 100083, China
  • Received:2015-05-13 Online:2016-01-20 Published:2016-01-20

摘要: 以新疆伊犁地区146个草地样地表层土壤容重调查测定数据为基础,结合遥感及气象数据,进行草地土壤容重与海拔、年均气温、年均降雨、≥10℃年积温、湿润度和NDVI间的相关及回归分析,构建土壤容重综合评价模型,借助ArcGIS平台加权叠加计算出伊犁地区草地土壤容重的空间分布格局。结果表明,伊犁地区草地土壤容重与海拔、年均气温、年均降雨、≥10℃年积温、湿润度和NDVI间显著相关(P<0.01);综合评价结果与实测值之间的复相关系数R2=0.6025,均方根误差(RMSE)为0.1479 g/cm3,总体偏差为14.39%,平均预测精度达85.61%。空间格局上,土壤容重在河谷地带较高,随着海拔递增呈现出逐渐减小的趋势;伊犁河谷两侧的温带荒漠类草地土壤容重最大,约为1.3340 g/cm3,南部天山北坡的高寒草甸类草地最小,约为0.7310 g/cm3。综合评价结果较好地反映了新疆伊犁地区的土壤容重空间分布情况,与土壤类型和草地类型的分布基本吻合,可以为草地退化安全评估提供参考。

Abstract: Currently, the study of soil bulk density of grassland is mainly focused on traditional statistical analysis based on survey data; studies using spatial pattern analysis of soil bulk density are limited. This paper attempted to apply multi-source data, which include field survey soil bulk density data, remote sensing data and meteorological data from 146 grassland sample plots to study the spatial analysis of soil bulk density in the Yili district, located at the northwest margin of Xinjiang Uygur Autonomous Region. Correlation analysis and regression analysis between the soil bulk density and elevation, annual average temperature, annual average precipitation, annual cumulative temperature above 10℃, wettability, and NDVI were examined. Subsequently regression analysis was undertaken using ArcGIS. There was a significant correlation between soil bulk density and elevation, annual average temperature, annual average precipitation, annual cumulative temperature above 10℃, wettability, and NDVI (P<0.01). The multiple correlation coefficient (R2), root-mean-square error (RMSE), population deviation, and the average prediction accuracy were 0.6025, 0.1479 g/cm3, 14.39%, and 85.61%, respectively. The soil bulk density in the river valley was higher than in the high altitude region. The highest soil bulk density was found in temperate desert type grassland (about 1.3340 g/cm3), and the lowest was found in alpine meadow grassland which is distributed on the northern slopes of the Southern Tianshan mountains (about 0.7310 g/cm3). The results indicated that the spatial distribution of soil bulk density was consistent with the distribution of different soil types and grassland in Yili. The information collected has potential for use in the evaluation of grassland degradation.