Data underlying article 'Towards effectively restoring agricultural landscapes in East African drylands: Linking plant functional traits with soil hydrology'
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Datacite citation style:
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.v1Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Muminji, Embu district, south-east of Mount Kenya, Kenya
time coverageJune - August 2019
licenceCC BY 4.0
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
associated peer-reviewed publicationTowards effectively restoring agricultural landscapes in East African drylands: Linking plant functional traits with soil hydrology
organizationsForest Ecology and Forest Management Group, Wageningen University & Research;
Department of Forest Ecology and Management, Swedish University of Agricultural Sciences;
World Agroforestry (ICRAF), Nairobi, Kenya
- 6,029 bytes md5 Trait_database.csv
- 146,423 bytes md5 Species_inventory_database_Muminji.csv
- 12,018 bytes md5 Plot_database_Muminji.csv
- 9,841 bytes md5 README.txt
- download all files (zip)