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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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1 to 9 of 9 Results
Nov 23, 2021
Leigh Ann Winowiecki; Aida Bargués-Tobella; Athanase Mukuralinda; Providence Mujawamariya; Alex Billy Mugayi; Minani Vedaste; Lambert Musengimana; John Thiongo Maina; Tor-Gunnar Vågen, 2021, "Biophysical baseline assessment in eastern Rwanda using the LDSF", https://doi.org/10.34725/DVN/NMYOFA, World Agroforestry - Research Data Repository, V1
The LDSF was developed by World Agroforestry (ICRAF) in response to the need for consistent field methods and indicator frameworks to assess ecosystem health across landscapes. The LDSF measures multiple key indicators of land and soil health in order to understand drivers of deg...
Aug 12, 2021
Aynekulu, Ermias; Sitienei, Ruth; Wood, Stephen; Shepherd, Keith, 2021, "Evidence-based Soils Agronomy for Sustainable Crop Production in Muranga County, Kenya", https://doi.org/10.34725/DVN/RTDZH8, World Agroforestry - Research Data Repository, V1, UNF:6:ISYkLL7mFkZtWuSlOa7tcQ== [fileUNF]
The project ‘Improved Agricultural Measurement for Evidence-based Investments in Improved Crop Production in Kenya’ was funded by The Nature Conservancy. The project used soil-plant diagnostic method developed at the World Agroforestry (ICRAF) to quantify soil health constraints...
Jul 18, 2021
World Agroforestry (ICRAF); International Soil Reference and Information Centre (ISRIC), 2021, "ICRAF-ISRIC Soil VNIR Spectral Library", https://doi.org/10.34725/DVN/MFHA9C, World Agroforestry - Research Data Repository, V1, UNF:6:gDRzU59a0YAKsRM4nQDdPg== [fileUNF]
The ICRAF-ISRIC Soil VNIR Spectral Library contains visible near infrared spectra of 785 soil profiles (4,438 samples) soils selected from the Soil Information System of the International Soil Reference and Information Centre (ISRIC). The samples consist of all physically archive...
Jun 20, 2021
Towett, Erick K.; Drake, Lee B.; Acquah, Gifty E.; Haefele, Stephan M.; McGrath, Steve P.; Shepherd Keith D., 2020, "Replication Data for: Comprehensive Nutrient Analysis in Agricultural Organic Amendments Through Non-Destructive Assays Using Machine Learning", https://doi.org/10.34725/DVN/YTJTZQ, World Agroforestry - Research Data Repository, V2, UNF:6:bmSAWgS3un1yCIZ6kBgkyw== [fileUNF]
Portable X-ray fluorescence (pXRF) and Diffuse Reflectance Fourier Transformed Mid-Infrared (DRIFT-MIR) spectroscopy are rapid and cost-effective analytical tools for material characterization. We developed machine learning methods to rapidly quantify the concentrations of macro-...
Mar 30, 2021
Winowiecki, Leigh Ann; Vågen, Tor-Gunnar; Tobella-Bargues, Aida; Magaju, Christine; Muriuki, Justin; Mwaniki, Alex, 2021, "Biophysical baseline assessment within the KCEP-CRAL action areas in Kenya, using the LDSF", https://doi.org/10.34725/DVN/CBHCKS, World Agroforestry - Research Data Repository, V1, UNF:6:yOb7hDKxCflV/SrDQyOgLw== [fileUNF]
These data were collected within the Kenya Cereal Enhancement Programme-Climate Resilient Agricultural Livelihoods (KCEP-CRAL) Window. This study was conducted within the action sites of the Kenya Cereal Enhancement Programme-Climate Resilient Agricultural Livelihoods (KCEP-CRAL)...
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 - Research Data Repository, 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-...
Aug 10, 2020
Vågen, Tor-Gunnar; Winowiecki, Leigh Ann; Desta, Luseged; Tondoh, Ebagnerin Jérôme; Weullow, Elvis; Shepherd, Keith; Sila, Andrew, 2020, "Mid-Infrared Spectra (MIRS) from ICRAF Soil and Plant Spectroscopy Laboratory: Africa Soil Information Service (AfSIS) Phase I 2009-2013", https://doi.org/10.34725/DVN/QXCWP1, World Agroforestry - Research Data Repository, V1, UNF:6:bMN2MBGqFewDKHPgIeRjog== [fileUNF]
AfSIS Phase I was a collaborative projective funded by the Bill and Melinda Gates Foundation (BMGF), which aimed to provide a consistent baseline of soil information for monitoring soil ecosystem services in sub-Saharan Africa (SSA). Partners included, CIAT-TSBF, ISRIC, CIESIN, T...
Aug 7, 2019
Moria, Mulugeta; Mekuria, Wolde; Gebrekirstos, Aster; Aynekulu, Ermias; Belay, Beyene; Gashaw; Bra ̈uning, Achim, 2018, "Mixed-species allometric equations and estimation of aboveground biomass and carbon stocks in restoring degraded landscape in northern Ethiopia", https://doi.org/10.34725/DVN/URYP1I, World Agroforestry - Research Data Repository, V1
Processed data used to generate allometric equations to estimate aboveground biomass
Aug 7, 2019
Aynekulu, Ermias, 2018, "Improved Agricultural Measurement for Evidence-based Investments in Improved Crop Production in Kenya, ICRAF-Technoserve project", https://doi.org/10.34725/DVN/OVIUCS, World Agroforestry - Research Data Repository, V1, UNF:6:LJykPKP+QHwgHAIOIWDEtQ== [fileUNF]
soil, maize tissue, grain and yield data for a project site in Machakos County.
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