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ICRAF Soil and Land Health Theme (World Agroforestry Centre)
Land Health Decisions has a vision to support the growing political momentum for large-scale commitments to prevent land degradation, and to restore or regenerate degraded natural resources and ecosystem services, contributing to an unprecedented change in national and global agendas, and a unique opportunity for research to influence policy and action. The theme is contributing to the ICRAF strategy by supporting wise stakeholder decision making on climate-smart land management options that work towards a more equitable world where all people have viable livelihoods supported by healthy and productive landscapes. These options include harnessing the multiple benefits trees provide for agriculture, livelihoods, resilience and the future of our planet, from farmers’ fields through to continental scales.
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TIFF Image - 13.7 MB - MD5: edc68fe3fb04cb25dbdfc6349a9518af
Comparison of actual and predicted sodium (Na) content of organic amendment (OA) samples based on whole spectrum forest regressions for DRIFT-MIR spectra from the Bruker Alpha KBr instrument at ICRAF. The dotted line indicates the expected 1:1 ratio forestimates and known values...
Unknown - 14.7 MB - MD5: 98d025104365df48f79a66dca730d89e
Spectra are saved in this files in RDS format and they work with open-source code repositories (CloudCal and cloudFTIR, both open github projects). The CloudFTIR can be found at: https://github.com/leedrake5/cloudFTIR."
Mar 30, 2021
Vågen, Tor-Gunnar; Winowiecki, Leigh Ann; Desta, Luseged; Tondoh, Jerome; Weullow, Elvis; Shepherd, Keith; Sila, Andrew; Dunham, Sarah J.; Hernández-Allica, Javier; Carter, Joanna; McGrath, Steve P, 2021, "Wet chemistry data for a subset of AfSIS: Phase I archived soil samples", https://doi.org/10.34725/DVN/66BFOB, World Agroforestry (ICRAF), V1, UNF:6:15bkgMxXho9IjXVQ0SI0Sw== [fileUNF]
This dataset contains a subset of the samples collected during the AfSIS Phase I project and was a collaborative effort between World Agroforestry (ICRAF) and Rothamsted Research. The soil samples were retrieved from ICRAF Soil Archive: https://worldagroforestry.org/output/icraf-...
Tab-Delimited - 845.1 KB - MD5: 2fa987e2c558e3b6c82eb6de3a772d26
Tab-Delimited - 6.1 KB - MD5: f5eadce8f97c265047a636b3cc9fc82e
Tab-Delimited - 638.4 KB - MD5: 125cbbe75fca81717a8b1985491578c7
Plot properties
Tab-Delimited - 216.5 KB - MD5: 8e6b0d885a4cbfa6913a3be1c9f482ec
Description of codes
Tab-Delimited - 1.5 KB - MD5: 55d359a61b794353505b676f30b498c0
Predicted soil variables description
Tab-Delimited - 253.4 KB - MD5: 685647fcd9b3b120bd8a07f81a00d7fa
Predicted soil properties
Adobe PDF - 2.7 MB - MD5: 85912daae0f400ba402db2d61a84246e
ICRAF Annual Report to KCEP-CRAL July 2019
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