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- W2565586874 abstract "Grass nutrients are important for understanding the distribution, densities and feeding patterns of livestock and wildlife. The mapping of grass nutrients at a regional scale has implications for effective planning and management of grazing pastures for decision makers, resource and park manager for savanna ecosytems like the Kruger National Park (KNP) and the surrounding sites. The main sites under investigation include the SabiSands and Bushbuckridge communal rangelands. These nutrients have seldom been mapped at the regional scale because of a lack of satellite-based sensors with spectral regions sensitive to foliar biochemicals like grass nitrogen (N).The objective of this study was to explore the applicability of geostatistics techniques in estimating grass N concentrations. We particularly tested the regression kriging and ordinary kriging in predicting nitrogen concentration on grass canopies across the SabiSands private reserve and Bushbuckridge communal rangelands.The results showed a potential for estimation of the grass nutrients like N with prediction maps showing nitrogen variability across the prediction grid, with regression kriging showing slightly better results (prediction map). The spatial model used as basis for prediction indicated that grass nitrogen can be expected to vary at distances of about 295m. The cross-validated prediction errors (residuals) ranged between (-0.154 and 0.144) and (-0.142 and 0.159) for regression kriging and ordinary kriging, respectively. This however, also indicates that there is tendency for either underestimating or overestimating at certain points in the grid." @default.
- W2565586874 created "2017-01-06" @default.
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- W2565586874 date "2010-11-01" @default.
- W2565586874 modified "2023-09-22" @default.
- W2565586874 title "Modelling grass nutrients using remote sensing and geostatistics tools" @default.
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