吉林省德惠市土壤特性空间变异特征与格局

doi:10.11821/xb200406023

Abstract

Abstract:

Based on regionalized variable theory, semivariograms of geo-statistics were used to research the spatial variability of soil properties quantificationally. The results showed that the semivariograms of soil organic matter were best described by spherical model, the best model for semivariograms of soil N and available K were exponential model and that of available P belongs to linear with sill model. Those soil properties have different spatial correlations respectively, the range of organic matter is the highest and that of available P is the lowest, and the spatial correlation of N and available K belongs to moderate class. Their spatial heterogeneity degrees were different too. The degrees of organic matter and total N were the highest, the degree of available K was in the next place and that of available P was the lowest. Influenced by the shape, topography and soil of the study area, all isotropics of available P were obvious in all directions while anisotropics of others were manifested. According to the analytical results, supported by GIS, Kriging and IDW were applied to describe and analyze the spatial distribution of soil properties. The results indicated that soil organic matter, total N and available K were distributed regularly from northeast to southwest, while available P was distributed randomly and its structural characteristics were not so distinctive as those of others.

Key words: geo-statistics, GIS, soil property, spatial variability, spatial interpolation, Dehui city, Jilin Province

LI Xiaoyan, ZHANG Shuwen, WANG Zongming, ZHANG Huilin. Spatial Variability and Pattern Analysis of Soil Properties in Dehui City of Jilin Province[J].Acta Geographica Sinica, 2004, 59(6): 989-997.

References

[1] Zhang Shujuan. Spatial variability of soil properties in the field based on GPS and GIS. Transaction of the CSAE, 2003, 19(2): 39-45.
[张淑娟. 基于GPS 和GIS的田间土壤特性空间变异性的研究. 农业工程学报, 2003, 19(2): 39-45.]

[2] Manuela Rover, Ernst-August Kaiser. Spatial heterogeneity within the plough layer: low and moderate variability of soil properties. Soil Biology and Biochemistry, 1999, 31(2): 175-187.

[3] Gerd Dercon, Jozef Deckers, Gerard Govers et al. Spatial variability in soil properties on slow-forming terraces in the Andes region of Ecuador. Soil and Tillage Research, 2003, 72(1): 31-41.

[4] Rima B Franklin, Aaron L Mills. Multi-scale variation in spatial heterogeneity for microbial community structure in an eastern Virginia agricultural field. FEMS Microbiology Ecology, 2003, 44(3): 335-346.

[5] Zhou Huizhen, Gong Zitong. Spatial variation of soil. Acta Pedol. Sin., 1996, 3(3): 232-240.
[周慧珍, 龚子同. 土壤空间变异. 土壤学报, 1996, 3(3): 232-240.]

[6] Li Yan. The application and outlook of geo-statistics in the soil science. Journal of Soil and Water Conservation, 2003, 17(1): 78-83.
[李艳. 地统计学在土壤科学中的应用及展望. 水土保持学报, 2003, 17(1): 78-83.]

[7] Li Yi, Liu Jianjun. Advance in spatial variability of soil properties. Journal of Shihezi University (Natural Sciences), 2000, 4(4): 331-338.
[李毅, 刘建军. 土壤空间变异性研究方法. 石河子大学学报(自然科学版), 2000, 4(4): 331-338.]

[8] Jiyun Jin, Cheng Jiang. Spatial variability of soil nutrients and site-specific nutrient management in the P.R.China. Computers and Electronics in Agriculture, 2002, 36(3): 165-172.

[9] Yang Qiu, Bojie Fu, Jun Wang et al. Spatial variability of soil moisture content and its relation to environmental indices in a semi-arid gully catchment of the Loess Plateau, China. Journal of Arid Environments, 2001, 49: 723-750.

[10] Yang Qiu, Bojie Fu, Jun Wang. Soil moisture variation in relation to topography and land use in a hillslope catchment of the Loess Plateau, China. Journal of Hydrology, 2001, 24: 243-263.

[11] Editorial Board of Standard for Observation and Analysis in Chinese Ecosystem Research Network. Analysis and Description of Soil Physical Characteristic and Profile. Beijing: Science Press, 1996. 35-48.
[中国生态系统研究网络观测与分析标准方法编辑委员会. 土壤理化分析与剖面描述. 北京: 科学出版社, 1996. 35-48.

[12] Guo Xudong, Fu Bojie, Ma Keming et al. Spatial variability of soil nutrients based on geostatistics combined with GIS: a case study in Zunhua city of Hebei province, China. J Appl. Ecol., 2000, 11(4): 558-565.
[郭旭东, 傅伯杰, 马克明等. 基于GIS和地统计学的土壤养分空间变异特征研究. 应用生态学报, 2000, 11(4): 558-565.]

[13] Zhang Chaosheng, Zhang Shen, He Jianbang. Spatial distribution characteristics of heavy metals in the sediments of Changjiang river system: spatial autocorrelation and fractal methods. Acta Geographica Sinica, 1998, 53(1): 87-95.
[张朝生, 章申, 何建邦. 重金属在长江沉积系统中的空间分布特征——空间自相关和分维方法. 地理学报, 1998, 53(1): 87-95.]

[14] Wang Zhengquan. Geo-statistics and Its Application in Ecology. Beijing: Science Press, 1999. 25-31.
[王政权. 地统计学及在生态学中的应用. 北京: 科学出版社, 1999. 25-31.]

[1]	GUO Zecheng, WEI Wei, SHI Peiji, ZHOU Liang, WANG Xufeng, LI Zhenya, PANG Sufei, XIE Binbin. Spatiotemporal changes of land desertification sensitivity in the arid region of Northwest China [J]. Acta Geographica Sinica, 2020, 75(9): 1948-1965.
[2]	REN Mengyao, XIAO Zuopeng, James J. WANG. Spatial pattern of intercity less-than-truckload logistics networks in China [J]. Acta Geographica Sinica, 2020, 75(4): 820-832.
[3]	XIONG Junnan,LI Jin,CHENG Weiming,ZHOU Chenghu,GUO Liang,ZHANG Xiaolei,WANG Nan,LI Wei. Spatial-temporal distribution and the influencing factors of mountain flood disaster in southwest China [J]. Acta Geographica Sinica, 2019, 74(7): 1374-1391.
[4]	Feng CHEN, Hongbo LI, Anlu ZHANG. Ecological risk assessment based on terrestrial ecosystem services in China [J]. Acta Geographica Sinica, 2019, 74(3): 432-445.
[5]	LIU Sijing,LI Guoqi,JIN Fengjun. Quantitative measurement and development evaluation of logistics clusters in China [J]. Acta Geographica Sinica, 2018, 73(8): 1540-1555.
[6]	WANG Jiao'e,JIAO Jingjuan,HUANG Jie,JIN Fengjun. Theory and methodology of transportation development and location measures [J]. Acta Geographica Sinica, 2018, 73(4): 666-676.
[7]	Jia YU, Jiahong WEN, Yun CHEN, Banggu LIAO, Shiqiang DU. Spatial configuration of urban shelters based on simulation using emergency evacuation agent-based model:A case study in Jing'an District, Shanghai [J]. Acta Geographica Sinica, 2017, 72(8): 1458-1475.
[8]	Guoqi LI, Fengjun JIN, Yu CHEN, Jingjuan JIAO, Sijing LIU. Location characteristics and differentiation mechanism of logistics industry based on points of interest:A case study of Beijing [J]. Acta Geographica Sinica, 2017, 72(6): 1091-1103.
[9]	Jingjing LI, Changhong MIAO. Impact of population flow on regional economic disparities in the Yangtze River economic belt [J]. Acta Geographica Sinica, 2017, 72(2): 197-212.
[10]	Ligang XU, Hongfei ZHOU, Feng PAN, Lingfeng WU, Ying TANG. Spatial variability of precipitation for mountain-oasis-desert system in the Sangong River Basin [J]. Acta Geographica Sinica, 2016, 71(5): 731-742.
[11]	Lufeng YAO, Yingjie WANG. Review on Prof. Luo Laixing's geomorphologic research [J]. Acta Geographica Sinica, 2016, 71(5): 883-892.
[12]	Fuyou GUO, Lianjun TONG, Qiang WEI, Huimin ZHANG, Fangdao QIU, Weiming TONG. Spatio-temporal difference and influencing factors ofenvironmental adaptability assessment of industrialsystem in the Songhua River Basin of Jilin Province [J]. Acta Geographica Sinica, 2016, 71(3): 458-470.
[13]	Duowen MO, Zhengkai XIA, Cheng ZHU. Prof. Wang Nailiang's contributions to the geomorphological research in China [J]. Acta Geographica Sinica, 2016, 71(11): 2037-2048.
[14]	Shanju BAO, Lin LU. Impact of planning-guided spatial evolvement on temporal-spatial evolution of land price: Taking Hefei as an example [J]. Acta Geographica Sinica, 2015, 70(6): 906-918.
[15]	Jun YAO, Ye SHI, Guoan ZHANG. The change process of water and sediment volume of branchingchannel in the Yangtze River during 1958-2013 [J]. Acta Geographica Sinica, 2015, 70(5): 828-836.

Spatial Variability and Pattern Analysis of Soil Properties in Dehui City of Jilin Province

PDF (PC)

Like

Knowledge

Abstract

Cite this article

share this article

References

Related Articles 15

Metrics

Comments