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

Simple item page
dc.contributor.authorShelukindo, Hassan Bashiru
dc.contributor.authorSemu, Ernest
dc.contributor.authorMsanya, B. M.
dc.contributor.authorSingh, Bal Ram
dc.contributor.authorMunishi, Pantaleo K.T
dc.date.accessioned2016-12-02T09:44:20Z
dc.date.available2016-12-02T09:44:20Z
dc.date.issued2014-05-20
dc.description.abstractFew 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 mini- pits 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, R 2 = 0.97) and TN in combination with calcium (Ca) (P< 0.001, R 2 = 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, R 2 = 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.identifier.citationInternational Journal of Agricultural Sciences ISSN: 2167-0447 Vol. 4 (7), pp. 222-231, July, 2014en_US
dc.identifier.urihttps://www.suaire.sua.ac.tz/handle/123456789/1061
dc.language.isoenen_US
dc.publisherInternational Scholars Journalsen_US
dc.subjectMiombo woodlandsen_US
dc.subjectpredictor variablesen_US
dc.subjectsoil organic carbon contentsen_US
dc.subjectmultiple regressionsen_US
dc.subjectKitonga Forest Reserveen_US
dc.subjectTanzaniaen_US
dc.titlePredictor variables for soil organic carbon contents in the Miombo woodlands ecosystem of Kitonga Forest Reserve, Tanzaniaen_US
dc.typeArticleen_US
dc.urlwww.internationalscholarsjournals.orgen_US

Files

Original bundle

Now showing 1 - 1 of 1
Thumbnail Image
Name:
Shelukindo et al_Predictor.pdf
Size:
380.82 KB
Format:
Adobe Portable Document Format
Download

License bundle

Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.66 KB
Format:
Item-specific license agreed upon to submission
Description:
Download

Collections

Soil Science Collection