Skip to main content

Dataverse

Looking for the numbers behind our science? Browse through our datasets, or search by key terms.

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.
Featured Dataverses

In order to use this feature you must have at least one published dataverse.

Publish Dataverse

Are you sure you want to publish your dataverse? Once you do so it must remain published.

Publish Dataverse

This dataverse cannot be published because the dataverse it is in has not been published.

Delete Dataverse

Are you sure you want to delete your dataverse? You cannot undelete this dataverse.

Find Advanced Search

51 to 60 of 151 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...
Tab-Delimited - 11.7 KB - MD5: a3ed757b7ff6ae60ab253c2b2e990764
Variables description
Tab-Delimited - 10.5 MB - MD5: 95bcdf2e005109fb825f2c9747afb128
Soil MIR spectra data
Tab-Delimited - 4.7 KB - MD5: 3058c254104af7f35b35bcb38f179d44
Plant wetchem data
Add Data

Sign up or log in to create a dataverse or add a dataset.

Share Dataverse

Share this dataverse on your favorite social media networks.

Link Dataverse
Reset Modifications

Are you sure you want to reset the selected metadata fields? If you do this, any customizations (hidden, required, optional) you have done will no longer appear.

Contact World Agroforestry (ICRAF) Support

World Agroforestry (ICRAF) Support

Please fill this out to prove you are not a robot.

+ =