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Acta Prataculturae Sinica ›› 2016, Vol. 25 ›› Issue (1): 64-75.DOI: 10.11686/cyxb2015249

• Orginal Article • Previous Articles     Next Articles

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

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.