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Spatial association between plant densities of inland and coastal plots and selected soil variables such as pH, OC (organic carbon), exchangeable cations Na, K, Ca, Mg; and NO3–N (nitrate nitrogen) as well as available phosphorus were examined using a geostatistical technique, namely, semivariogram analysis. The selected plant species were the dominant halophytes of Karachi. At both sites, one square plot of 16m × 16m in size was deterministically selected and subdivided into 64 (2×2 m) square sub-plots (quadrats). Soil and plant density data from each sub-plot was obtained. Spherical model was best fitted for all soil characteristics and the parameters of the model such as nugget (Co), sill (C1+Co) and range (a), were used to explain the spatial structure of different soil properties and the halophytes. All inland and coastal soil attributes (except OC of the coastal site) as well as the plant densities showed zero nugget effect which specified spatial continuity to be very even between adjacent points. Ca showed highest sill variance for both inland and coastal soil attributes. Coastal halophyte Suaeda fruticosa showed highest sill variance compared to other plant populations. The density of all inland plant populations showed autocorrelation range close to unity. All inland and coastal soil properties (except OC of the coastal site) and plant densities showed strong spatial dependence.
Noreen Noor, S. Shahid Shaukat, Maria Kaleem. (2019) SPATIAL PATTERN ANALYSIS OF SOME COASTAL AND INLAND PLANTS AND CORRESPONDING SOILS USING GEOSTATISTICS, , Volume 16, Issue 2.
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