Abstract
(“Sources of soil dissolved organic carbon in a mixed agricultural and forested watershed in Rwanda”, [6])This data article presents water extractable organic carbon (WEOC), percolation water dissolved organic carbon (pDOC), and mean antecedent precipitation indices (API) and mean antecedent temperature (MAT) data. The article also presents edaphic properties such soil texture elements, total organic carbon (TOC), total nitrogen (TN), cation exchange capacity (CEC), iron (Fe), and aluminum (Al). Additionally, the article presents topography attributes such including topographic position index (TPI) and curvature. All these data were used to analyze both WEOC and pDOC dynamics in the Rukarara River Watershed (RRW), Rwanda. WEOC and soil properties data were analyzed from sampled 52 soil composites samples collected during from October to December 2016 using 53 × 50 mm rings. Data of pDOC were analyzed from percolation water samples collected using a zero tension lysimeters on various dates during the period from Jun 2015 to Jun 2017. API and MAT data for various antecedent days were calculated on basis of rainfall and air temperature data recorded at three stations within the RRW using respectively tipping bucket rain gauges and sensors installed at three sites located representing the main land use land cover classes within the RRW.
Highlights
Value of the Data Provided water extractable organic carbon (WEOC) and percolation water dissolved organic carbon (pDOC) data are useful for land and water resource management
Slope position and curvature data are useful in determining flat, concave and convex landscape areas and can be used to separate effects of land use land cover/land management on WEOC and pDOC
Alongside different values of soil properties per plots, we presented their corresponding normalized values and LULC types
Summary
Value of the Data Provided WEOC and pDOC data are useful for land and water resource management. Environmentalists, and decision makers can use these data to study soil and inland water degradation via WEOC and pDOC export and on the potential effects of climate land cover change on terrestrial and aquatic services. Slope position and curvature data are useful in determining flat, concave and convex landscape areas and can be used to separate effects of land use land cover/land management on WEOC and pDOC. This information is important, for example, for farmers and land managers. The article presents pDOC, antecedent precipitation indices (API), mean antecedent temperatures (MAT), slope position, and curvature data for a tropical watershed in the Rukarara River Watershed (RRW) in Rwanda. Curvature data were presented per plot and we indicated corresponding curvature values, LULC types, and WEOC
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