Sokoine University of Agriculture

Predictor variables for soil organic carbon contents in the Miombo woodlands ecosystem of Kitonga forest reserve, Tanzania

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dc.contributor.author Shelukindo, H. B.
dc.contributor.author Semu, E.
dc.contributor.author Msanya, B. M.
dc.contributor.author Singh, B. R.
dc.contributor.author Munishi, P. K. T.
dc.date.accessioned 2016-12-15T14:54:30Z
dc.date.available 2016-12-15T14:54:30Z
dc.date.issued 2014-07
dc.identifier.uri https://www.suaire.sua.ac.tz/handle/123456789/1112
dc.description International Journal of Agricultural Sciences ISSN: 2167-0447 Vol. 4 (7), pp. 222-231, July, 2014. en_US
dc.description.abstract Few studies have established the variables which adequately predict SOC storage in the Miombo woodlands. Multiple regression analysis was used to establish the variables which could predict SOC contents in dominant soils of the Miombo woodlands of Kitonga Forest Reserve, Tanzania. Thirty soil minipits located at different elevations across a topographical gradient were selected, geo-referenced, excavated and samples from the natural horizons were collected for physico-chemical analysis. A total of 85 samples were collected, each representing a natural soil horizon. The results indicated that total nitrogen (TN), (P< 0.001, R2 = 0.97) and TN in combination with calcium (Ca) (P< 0.001, R2 = 0.99) were important predictor variables of SOC contents. The combination of cation exchange capacity, Zinc, Copper, clay and iron together with TN and Ca predicted well the SOC contents (P< 0.001, R2 = 0.999). Considering time and cost implications for field and laboratory analysis in predicting SOC stocks, the combination of TN and Ca that predicted the SOC contents by 99% provided equally strong prediction when compared to the combination of all the variables. Thus, proper land management strategies which enhance conservation of TN and Ca in concert would provide adequate prediction of SOC contents in soils. en_US
dc.language.iso en en_US
dc.publisher International Journal of Agricultural Sciences en_US
dc.subject Miombo woodland en_US
dc.subject Predictor variables en_US
dc.subject Soil organic carbon contents en_US
dc.subject Multiple regressions en_US
dc.subject Kitonga Forest Reserve en_US
dc.subject Tanzania. en_US
dc.title Predictor variables for soil organic carbon contents in the Miombo woodlands ecosystem of Kitonga forest reserve, Tanzania en_US
dc.type Article en_US
dc.url www.internationalscholarsiournals.ora en_US


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