干旱区生态环境知识资源中心(Arid): Clarifying Soil Texture and Salinity Using Local Spatial Statistics (Getis-Ord Gi* and Moran's I) in Kazakh-Uzbekistan Border Area, Central Asia

Arid

DOI	10.3390/agronomy12020332
	*Clarifying Soil Texture and Salinity Using Local Spatial Statistics (Getis-Ord Gi and Moran's I) in Kazakh-Uzbekistan Border Area, Central Asia**
	Liu, Wen; Ma, Long; Smanov, Zhassulan; Samarkhanov, Kanat; Abuduwaili, Jilili
通讯作者	Ma, L (corresponding author)，Chinese Acad Sci, Xinjiang Inst Ecol & Geog, State Key Lab Desert & Oasis Ecol, Urumqi 830011, Peoples R China. ; Ma, L (corresponding author)，Chinese Acad Sci, Res Ctr Ecol & Environm Cent Asia, Urumqi 830011, Peoples R China. ; Ma, L (corresponding author)，Univ Chinese Acad Sci, Beijing 100049, Peoples R China.
来源期刊	AGRONOMY-BASEL
EISSN	2073-4395
出版年	2022
卷号	12 期号:2
英文摘要	The purpose of this paper was to study the spatial characteristics and possible influencing factors of farmland soil texture and salt content in the Syr Darya River Basin. Data on the soil grain size and salt content were collected at 56 sampling sites in the southern part of the Shardara Reservoir and the left bank of the Syr Darya River irrigation area. With the methods of local spatial statistics (Getis-Ord Gi* and Moran's I), the hotspots of soil salinity and grain size in the study area were revealed, and along with the use of correlation analysis, the possible factors affecting soil salt distribution were discussed. Among the 56 soil sampling sites, sandy loam, loamy loam, and chalky loam accounted for 20%, 50%, and 30%, respectively, and mildly, moderately, and severely saline soils accounted for 80.36%, 14.28%, and 5.36%, respectively. There was statistically significant spatial autocorrelation between sand, silt, and clay content in the soils, but the spatial autocorrelation for salt content was weak. The results show that high and high-cluster areas (hotspots) with statistically significant salt content are mainly distributed in the northwest of the study area and that the hotspot distribution of salt content is mainly affected by topography (altitude), but the effect of soil texture on salt content is not significant. The control of soil salinity should prioritize low-altitude areas, especially in the northwestern region. The results are of great significance for the regulation and control of soil salinity and the sustainable utilization of soil in arid Central Asia.
英文关键词	soil texture soil salt spatial autocorrelation hotspots Syr Darya River Basin Central Asia
类型	Article
语种	英语
开放获取类型	gold
收录类别	SCI-E
WOS记录号	WOS:000763319800001
WOS关键词	KERNEL DENSITY-ESTIMATION ; ORGANIC-MATTER ; XINJIANG ; VARIABILITY ; MANAGEMENT ; OASIS ; IRRIGATION ; FRACTIONS ; BIOSPHERE ; SODICITY
WOS类目	Agronomy ; Plant Sciences
WOS研究方向	Agriculture ; Plant Sciences
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/376351
作者单位	[Liu, Wen; Ma, Long; Smanov, Zhassulan; Samarkhanov, Kanat; Abuduwaili, Jilili] Chinese Acad Sci, Xinjiang Inst Ecol & Geog, State Key Lab Desert & Oasis Ecol, Urumqi 830011, Peoples R China; [Liu, Wen; Ma, Long; Smanov, Zhassulan; Samarkhanov, Kanat; Abuduwaili, Jilili] Chinese Acad Sci, Res Ctr Ecol & Environm Cent Asia, Urumqi 830011, Peoples R China; [Liu, Wen; Ma, Long; Smanov, Zhassulan; Samarkhanov, Kanat; Abuduwaili, Jilili] Univ Chinese Acad Sci, Beijing 100049, Peoples R China; [Smanov, Zhassulan] Kazakh Res Inst Soil Sci & Agrochem, Alma Ata 050060, Kazakhstan
推荐引用方式 GB/T 7714	Liu, Wen,Ma, Long,Smanov, Zhassulan,et al. Clarifying Soil Texture and Salinity Using Local Spatial Statistics (Getis-Ord Gi* and Moran's I) in Kazakh-Uzbekistan Border Area, Central Asia[J],2022,12(2).
APA	Liu, Wen,Ma, Long,Smanov, Zhassulan,Samarkhanov, Kanat,&Abuduwaili, Jilili.(2022).Clarifying Soil Texture and Salinity Using Local Spatial Statistics (Getis-Ord Gi* and Moran's I) in Kazakh-Uzbekistan Border Area, Central Asia.AGRONOMY-BASEL,12(2).
MLA	Liu, Wen,et al."Clarifying Soil Texture and Salinity Using Local Spatial Statistics (Getis-Ord Gi* and Moran's I) in Kazakh-Uzbekistan Border Area, Central Asia".AGRONOMY-BASEL 12.2(2022).