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Assessment of soil organic carbon fractions and carbon management index under different land use types in Olesharo Catchment, Narok County, Kenya

Overview of attention for article published in Carbon Balance and Management, February 2018
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Title
Assessment of soil organic carbon fractions and carbon management index under different land use types in Olesharo Catchment, Narok County, Kenya
Published in
Carbon Balance and Management, February 2018
DOI 10.1186/s13021-018-0091-7
Pubmed ID
Authors

Bernice M. Sainepo, Charles K. Gachene, Anne Karuma

Abstract

The changes in land use and land cover have a strong effect on the total soil organic carbon, its fractions and its overall soil health. This study carried out in Olesharo Catchment, Kenya, was to quantify the differences in total organic carbon (TOC), particulate organic carbon (POC), mineral organic carbon (MOC) and carbon management index (CMI) among four land use types: grasslands, shrublands, agricultural lands and barelands. It was also purported to evaluate the use of CMI as an indicator for soil degradation or improvement in response to land use and land cover changes. The results of the study show that the mean values of TOC, POC and MOC are significantly different between land use types. Thus, shrublands have significantly higher TOC (22.26 g kg-1) than grasslands (10.29 g kg-1) and bare lands (7.56 g kg-1). They also have significantly higher POC (7.79 g kg-1) and MOC (10.04 g kg-1) than all the other land use types. The agricultural lands have higher CMI than grasslands (53% vs 41% relative to shrublands) suggesting that grasslands face serious degradation through overgrazing. This study shows that different land use types have an influence on soil organic carbon pools, and consequently on the CMI, the CMI could be used as an indicator for soil degradation or improvement in response to land use and land cover changes.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 175 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 175 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 33 19%
Student > Master 25 14%
Researcher 15 9%
Student > Doctoral Student 12 7%
Student > Bachelor 10 6%
Other 22 13%
Unknown 58 33%
Readers by discipline Count As %
Agricultural and Biological Sciences 56 32%
Environmental Science 23 13%
Earth and Planetary Sciences 6 3%
Unspecified 5 3%
Engineering 4 2%
Other 10 6%
Unknown 71 41%