Arid
DOI10.30848/PJB2022-1(4)
GEO-SPATIALLY INTEGRATED SOIL QUALITY EVALUATION: A CASE OF TOBA TEK SINGH, PAKISTAN
Naqvi, Syed Ali Asad; Islam, Aqsa; Wasem, Liaqat Ali; Hussain, Dostdar; Naqvi, Rubab Zahra; Kazmi, Syed Jamil Hasan; Sajjad, Muhammad; Shaikh, Saima
通讯作者Naqvi, SAA (corresponding author),Govt Coll Univ Faisalabad, Dept Geog, Faisalabad 38000, Punjab, Pakistan.
来源期刊PAKISTAN JOURNAL OF BOTANY
ISSN0556-3321
EISSN2070-3368
出版年2022
卷号54期号:1页码:263-273
英文摘要Agricultural development and rapid human population growth are among the key prevalent factors that have caused soil degradation in several terrestrial ecosystems. Soil quality is being increasingly affected by water and wind-related erosion, aridity, salinity due to misuse, and erroneous agrarian practices. Evaluating soil quality is an essential tool for crop management and soil sustainability; this is exclusively unique in semi-arid and dry regions where the observation of soil quality offers a prospect to gauge land management systems. Here, we evaluated the soil quality in the agricultural district Toba Tek Singh, Punjab, Pakistan. For this purpose, the Integrated Quality Index (IQI) model was executed through Total Dataset (TDS) and Minimum Dataset (MDS) methods of data selection. TDS shows the soil quality results of all the selected indicators (i.e., EC, pH, CaCO3, OM, P, K, SP). To select the MDS, the Principal Component Analysis was used and three indicators were selected including pH, EC, and OM. Among the two indices (IQI(TDs) and IQI(MDs)), moderate and low soil quality were recognized as a leading grade for soil quality of the study area. The reason for low-quality soil was a considerably low percentage of OM, a lower amount of CaCO3 in soil, a high rate of pH and EC, and a lesser amount of Phosphorous and K in the soil of the study area. The results for TDS and MDS were found to be appropriate to each other as confirmed by the Geographically Weighted Regression (GWR) model (Adjusted R-2 0.81). Thus, this approach might be used as a helpful tool for the development of quantitative techniques to estimate soil quality. This is helpful to identify areas where soil quality is low and can be improved with better management practices and maintain a suitable amount of fertilizers in the soil.
英文关键词Soil quality Agriculture IQI MDS TDS Geographical information systems (GIS) Geographically weighted regression (GWR)
类型Article
语种英语
收录类别SCI-E
WOS记录号WOS:000740934800032
WOS关键词MINIMUM DATA SET ; ELECTRICAL-CONDUCTIVITY ; ASSESSMENT-TOOL ; LAND-USE ; DEGRADATION ; PERFORMANCE ; INDICATORS ; INDEXES ; SYSTEM
WOS类目Plant Sciences
WOS研究方向Plant Sciences
资源类型期刊论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/376483
作者单位[Naqvi, Syed Ali Asad; Islam, Aqsa; Wasem, Liaqat Ali] Govt Coll Univ Faisalabad, Dept Geog, Faisalabad 38000, Punjab, Pakistan; [Hussain, Dostdar] Karakoram Int Univ, Dept Comp Sci, Gilgit 15100, Pakistan; [Naqvi, Rubab Zahra] Natl Inst Biotechnol & Genet Engn, Agr Biotechnol Div, Faisalabad 38000, Punjab, Pakistan; [Kazmi, Syed Jamil Hasan; Shaikh, Saima] Univ Karachi, Dept Geog, Karachi 75270, Pakistan; [Sajjad, Muhammad] Hong Kong Baptist Univ, Dept Geog, Hong Kong, Peoples R China; [Sajjad, Muhammad] City Univ Hong Kong, Guy Carpenter Asia Pacific Climate Impact Ctr, Sch Energy & Environm, Hong Kong, Peoples R China
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Naqvi, Syed Ali Asad,Islam, Aqsa,Wasem, Liaqat Ali,et al. GEO-SPATIALLY INTEGRATED SOIL QUALITY EVALUATION: A CASE OF TOBA TEK SINGH, PAKISTAN[J],2022,54(1):263-273.
APA Naqvi, Syed Ali Asad.,Islam, Aqsa.,Wasem, Liaqat Ali.,Hussain, Dostdar.,Naqvi, Rubab Zahra.,...&Shaikh, Saima.(2022).GEO-SPATIALLY INTEGRATED SOIL QUALITY EVALUATION: A CASE OF TOBA TEK SINGH, PAKISTAN.PAKISTAN JOURNAL OF BOTANY,54(1),263-273.
MLA Naqvi, Syed Ali Asad,et al."GEO-SPATIALLY INTEGRATED SOIL QUALITY EVALUATION: A CASE OF TOBA TEK SINGH, PAKISTAN".PAKISTAN JOURNAL OF BOTANY 54.1(2022):263-273.
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