Data underlying article 'Towards effectively restoring agricultural landscapes in East African drylands: Linking plant functional traits with soil hydrology'
DOI:10.4121/19635243.v1
        
    
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DOI: 10.4121/19635243
    DOI: 10.4121/19635243
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.v1
        Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
    Dataset
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            Geolocation
Muminji, Embu district, south-east of Mount Kenya, Kenya
        Time coverage June - August 2019
Licence CC BY 4.0
Interoperability
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.
History
- 2022-11-02 first online, published, posted
Publisher
4TU.ResearchDataFormat
csv txtAssociated peer-reviewed publication
Towards effectively restoring agricultural landscapes in East African drylands: Linking plant functional traits with soil hydrologyReferences
Organizations
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
DATA
Files (4)
- 9,841 bytesMD5:e24e40b2ac4f875086640fe56dd6a52cREADME.txt
- 12,018 bytesMD5:1ab4cc65a87d17aca4ce26a6cb53ecfcPlot_database_Muminji.csv
- 146,423 bytesMD5:9999caf915f27760f713da080a0a7a52Species_inventory_database_Muminji.csv
- 6,029 bytesMD5:15c9025c4ec91ab5cd86d250785352d6Trait_database.csv
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