The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
doi: 10.4121/19635243

Mens, Lotte; Bargues-Tobella, Aida; Sterck, Frank; Vågen, Tor-Gunnar; Winowiecki, Leigh Ann et. al. (2022): Data underlying article 'Towards effectively restoring agricultural landscapes in East African drylands: Linking plant functional traits with soil hydrology'. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/19635243.v1

Dataset

• Soil Sciences
• Agriculture, Land and Farm Management

Agricultural landscapes, degradation, East Africa, functional traits, Kenya, restoration, soil infiltration, soil organic carbon

June - August 2019

CC BY 4.0

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by Lotte Mens , Aida Bargues-Tobella , Frank Sterck , Tor-Gunnar Vågen , Leigh Ann Winowiecki , Madelon Lohbeck

We measured field-saturated soil hydraulic conductivity (Kfs) and soil organic carbon (SOC) in 38 plots across agricultural landscapes in Muminji, Kenya. Woody vegetation and land use inventories took place and species functional traits were measured on the 63 most important species. We systematically tested the effects of vegetation quantity (aboveground woody 

biomass and vegetation cover) and quality (functional properties and diversity) on soil health (Kfs as a proxy for soil infiltrability and SOC for soil fertility). 

This dataset contains the data that underlies the analysis and outcomes of this study, described for each dataset below.

• 2022-11-02 first online, published, posted

4TU.ResearchData

csv txt

Towards effectively restoring agricultural landscapes in East African drylands: Linking plant functional traits with soil hydrology

• https://doi.org/10.34725/DVN/CBHCKS

Forest Ecology and Forest Management Group, Wageningen University & Research;
Department of Forest Ecology and Management, Swedish University of Agricultural Sciences;
World Agroforestry (ICRAF), Nairobi, Kenya