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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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111 to 120 of 151 Results
R Syntax - 49.3 KB - MD5: 39a06f120c0bde1c431e107faa84c1bd
Tab-Delimited - 9.7 KB - MD5: 10b9094d450e29d41d78849c24a13cc1
Jul 25, 2022
Tamba, Yvonne; Wafula, Joshua; Whitney Cory; Luedeling Eike; Aynekulu Ermias, 2022, "Dataset for the evaluation of forest and landscape restoration in Northern Ethiopia", https://doi.org/10.34725/DVN/ZUK436, World Agroforestry (ICRAF), V1, UNF:6:Yt/GQ+qPMFqLX2P2FlIK4g== [fileUNF]
This dataset was used to apply the Stochastic Impact Evaluation (SIE) framework in the simulation of returns on investment in biophysical and socio-economic interventions. The study was carried out in a degraded dry Afromontane forest in northern Ethiopia. We used an expert knowl...
Jul 25, 2022
Tamba, Yvonne; Chacha, Robin; Mboi, Damaris; Aynekulu, Ermias; Luedeling, Eike; Shepherd, Keith, 2022, "Dataset for supporting the net agronomic assessment of yield limiting factors in maize production in Machakos county, Kenya", https://doi.org/10.34725/DVN/KKHVOF, World Agroforestry (ICRAF), V1, UNF:6:QZ+UN2QU5x8NcdqNy+AySg== [fileUNF]
This dataset is used for a holistic analysis of the costs, benefits, and risks of on-farm soil and plant health management. The dataset was produced in 2017 by a combination of field measurements and farmer surveys. It was collected for a research study aimed at identifying and t...
Tab-Delimited - 5.4 KB - MD5: f46c7ccede65b61a1b3195af43bddaf6
Tab-Delimited - 240.7 KB - MD5: daa08637cedefc1d395af2d3a3e1a993
Tab-Delimited - 19.5 KB - MD5: c745226390f03809e5ac35960f5ec43a
Tab-Delimited - 3.5 MB - MD5: b863ade26db5f666ab55c330ba9d93ad
Tab-Delimited - 151.3 KB - MD5: f04ba71df5c346a2c5ad6cc0a6a5038f
Tab-Delimited - 517.4 KB - MD5: 43dcd41576ef1dad749ee848f366feb1
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