Arid
DOI10.1080/00103624.2018.1432637
Predicting the Classes and Distribution of Salt-Affected Soils in Northwest Libya
Zurqani, Hamdi1,2; Mikhailova, Elena1; Post, Christopher1; Schlautman, Mark3; Sharp, Julia4
通讯作者Mikhailova, Elena
来源期刊COMMUNICATIONS IN SOIL SCIENCE AND PLANT ANALYSIS
ISSN0010-3624
EISSN1532-2416
出版年2018
卷号49期号:6页码:689-700
英文摘要

Sodicity and salinity can adversely affect soil structure and are common constraints to plant growth in arid regions. Current remote sensing techniques cannot distinguish between the various classes of salt-affected soils. Field and laboratory measurements of salt-affected soils are time-consuming and expensive. Mapping of the salt-affected soils can be used in soil conservation planning to identify regions with different degrees of limitations. There is a need to use existing field and laboratory measurements to create maps of classes of salt-affected soils. The objectives of this study are to classify salt-affected soils, use existing field data to interpolate and validate geospatial predictions of the classes of salt-affected soils using Geographic Information Systems (GIS), and create maps showing the different classes and distribution of salt-affected soils. The classification framework for salt-affected soils is based on electrical conductivity (ECe), soil pH and the sodium adsorption ratio (SAR), and provides four degrees of limitations to salt-affected soils: slight (normal soils), moderate (saline soils), severe (sodic soils), and extreme (saline-sodic soils). Spatial interpolation of the field data from northwestern Libya was verified by cross-validation, and maps of the salt-affected soils in the region were created. The majority of soils in this region of Libya are normal (slight degree of limitation). Twenty percent of the topsoil is saline-sodic (extreme degree of limitation). Land use recommendations and rehabilitation strategies can be developed from such maps of salt-affected soil classes. The methodology followed in this study can be applied to other arid regions around the world, particularly in developing countries where budgetary constraints limit detailed field and laboratory measurements of sodicity and salinity.


英文关键词Electrical conductivity (ECe) of water-saturated soil paste geographic information system (GIS) inverse distance weighting (IDW) mean error (ME) sodium adsorption ratio (SAR) normalized (N) root mean square error (RMSE)
类型Article
语种英语
国家USA ; Libya
收录类别SCI-E
WOS记录号WOS:000427077100004
WOS关键词DEGRADATION PROCESSES ; SODIC SOILS ; SALINITY ; CLASSIFICATION ; CONSTRAINTS ; AREAS
WOS类目Agronomy ; Plant Sciences ; Chemistry, Analytical ; Soil Science
WOS研究方向Agriculture ; Plant Sciences ; Chemistry
来源机构Colorado State University
资源类型期刊论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/208456
作者单位1.Clemson Univ, Dept Forestry & Environm Conservat, 261 Lehotsky Hall, Clemson, SC 29634 USA;
2.Univ Tripoli, Dept Soil & Water Sci, Tripoli, Libya;
3.Clemson Univ, Dept Environm Engn & Earth Sci, Anderson, SC USA;
4.Colorado State Univ, Dept Stat, Ft Collins, CO 80523 USA
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GB/T 7714
Zurqani, Hamdi,Mikhailova, Elena,Post, Christopher,et al. Predicting the Classes and Distribution of Salt-Affected Soils in Northwest Libya[J]. Colorado State University,2018,49(6):689-700.
APA Zurqani, Hamdi,Mikhailova, Elena,Post, Christopher,Schlautman, Mark,&Sharp, Julia.(2018).Predicting the Classes and Distribution of Salt-Affected Soils in Northwest Libya.COMMUNICATIONS IN SOIL SCIENCE AND PLANT ANALYSIS,49(6),689-700.
MLA Zurqani, Hamdi,et al."Predicting the Classes and Distribution of Salt-Affected Soils in Northwest Libya".COMMUNICATIONS IN SOIL SCIENCE AND PLANT ANALYSIS 49.6(2018):689-700.
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