Sokoine University of Agriculture

Landscape-scale variability of soil health indicators: effects of cultivation on soil organic carbon in the Usambara Mountains of Tanzania

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dc.contributor.author Winowiecki, L.
dc.contributor.author Va°gen, T.
dc.contributor.author Massawe, B.
dc.contributor.author Jelinski, N. A.
dc.contributor.author Lyamchai, C.
dc.contributor.author Sayula, G.
dc.contributor.author Msoka, E.
dc.date.accessioned 2019-04-16T13:59:47Z
dc.date.available 2019-04-16T13:59:47Z
dc.date.issued 2015-11-02
dc.identifier.uri https://www.suaire.sua.ac.tz/handle/123456789/2773
dc.description This article is published with open access at Springerlink.com en_US
dc.description.abstract Land-use change continues at an alarming rate in sub-Saharan Africa adversely affecting ecosystem services provided by soil. These impacts are greatly understudied, especially in biodiversity rich mountains in East Africa. The objectives of this study were to: conduct a biophysical baseline of soil and land health; assess the effects of cultivation on soil organic carbon (SOC); and develop a map of SOC at high resolution to enable farm-scale targeting of management interventions. Biophysical field surveys were conducted in a 100 km2 landscape near Lushoto, Tanzania, with composite soil samples collected from 160 sampling plots. Soil erosion prevalence was scored, trees were counted, and current and historic land use was recorded at each plot. The results of the study showed a decline in SOC as a result of cultivation, with cultivated plots (n = 105) having mean topsoil OC of 30.6 g kg-1, while semi-natural plots (n = 55) had 71 g OC kg-1 in topsoil. Cultivated areas were also less variable in SOC than seminatural systems. Prediction models were developed for the mapping of SOC based on RapidEye remote sensing data for January 2014, with good model performance (RMSEPcal = 8.0 g kg-1; RMSEPval = 10.5 g kg-1) and a SOC map was generated for the study. Interventions will need to focus on practices that increase SOC in order to enhance productivity and resilience of the farming system, in general. The highresolution maps can be used to spatially target interventions as well as for monitoring of changes in SOC. en_US
dc.language.iso en en_US
dc.publisher Springer en_US
dc.subject Land-use change en_US
dc.subject Land health en_US
dc.subject Cropping diversity en_US
dc.subject Usambara Mountains en_US
dc.title Landscape-scale variability of soil health indicators: effects of cultivation on soil organic carbon in the Usambara Mountains of Tanzania en_US
dc.type Article en_US
dc.url DOI 10.1007/s10705-015-9750-1 en_US


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