Dataverse World Agroforestry (ICRAF)
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No changes in soil organic carbon and nitrogen following long term prescribed burning and livestock exclusion in the Sudan savanna woodlands of Burkina Faso
No full textThis study was done to study the impact of grazing and fire on soil Carbon stocks. It was part of a long-term split-plot experiment established in 1992 to explore the ecological impacts of prescribed fire and grazing intensity. It analyzed the effects of 19 years of prescribed annual burning and livestock exclusion on tree density, SOC and TN concentrations in the Sudanian savanna ecoregion at two sites (Tiogo and Laba) in Burkina Faso.
The study was conducted in partnership with Environmental Institute for Agricultural Research (INERA) and International Livestock Research Institute (ILRI). It was supported by the GIZ/BEAF International Agricultural Research Grants Programme; and Water Land and Ecosystems program of the CGIAR. The study contributed to the Carbon sequestration options in pastoral & agro-pastoral systems in Africa project
Wet chemistry data for a subset of AfSIS: Phase I archived soil samples
No full textThis 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-soil-archive-physical-archive-systematically-collected-soil-samples and subject to wet chemical analysis at Rothamsted Research in the UK under a Global Challenges Research Fund project, "BBS/OS/GC/000014B: Chemical and Biological Assessment of AfSIS soils" funded through the UK Biotechnology and Biological Sciences Research Council. This dataset includes the Site, Cluster, Plot as well as the GPS coordinates and wet chemistry data from 2002 samples collected from 18 countries and 51 LDSF sites. The original data collection was part of the AfSIS Phase I project, funded by the Bill and Melinda Gates Foundation (BMGF) and took place between 2009-2013. ICRAF and CIAT contributed the Site, Cluster, Plot and GPS coordinates for the soil samples, ICRAF organized the sub-sampling of the soil samples from the ICRAF physical archive in Nairobi and Rothamsted analysed the soil samples in the UK in 2017 and 2018. Visit our websites here: https://worldagroforestry.org/landhealth and https://www.rothamsted.ac.uk/.
The AfSIS Phase I project funded by the Bill and Melinda Gates Foundation (BMGF) from 2009-2013, aimed to provide a consistent baseline of soil information across sub-Saharan Africa (SSA). Led by CIAT-TSBF, partners included: ISRIC, CIESIN, The Earth Institute at Columbia University and World Agroforestry (ICRAF). ICRAF led the systematic assessments of soil health using the Land Degradation Surveillance Framework (LDSF), which was developed at ICRAF, http://landscapeportal.org/blog/2015/03/25/the-land-degradation-surveillance-framework-ldsf/. LDSF sites were randomized using spatial stratification based on Koeppen-Geiger Climate zones across 19 countries in SSA. In total 60 LDSF sites were sampled. Soil samples were collected using the LDSF at two depths, 0-20 cm (labelled Topsoil) and 20-50 cm (labelled Subsoil). In each LDSF site, approximately 320 standard soil samples were collected. All of these were also scanned using MIR Spectroscopy and are available on Dataverse here: 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
Replication data for: Akonolinga Njansang grouped sales, quantity offered, income generated, and unit price variation
No full textA market survey was carried out in Akonolinga to determine the quantity of group sale of Ricinodendron heudelotii by farmers
TAKING TO SCALE TREE-BASED ECOSYSTEM APPROACHES THAT ENHANCE FOOD SECURITY, IMPROVE RESILIENCE TO CLIMATE CHANGE AND SEQUESTER CARBON IN RWANDA
No full textThe socio-economic data collected from 12 sites (6 agroecological zones x 2 sites with contrasting adoption of agroforestry practices ) to highlight drivers, enabling conditions and mechanisms of agroforestry adoption at scale in Rwand
Borneo - Sumatra Household Baseline
No full textThis study consists of sex-disaggregated data and other related materials generated as part of the Sentinel Landscapes Network household survey baseline in Borneo-Sumatra sentinel site in Indonesia. A total of 1039 households were surveyed between August and December 2014 from 40 villages namely: Keluin, Rumah Betang Sei Sedik, Sawah, Sembawang, Entebuluh, Kelawik , Sungai Luar, Sungai Long, Libung, Sungai Iring, Tanjung Beringin, Tanjung Putus, Baru Kibul, Rantau Ngaro, Muaro Langeh, Nalo Gedang, Baru Nalo, Pulau Layang, Durian Lencah, Tiangko, Butang Baru, Sungai Butang, Guruh Baru, Meranti Baru, Jati Baru, Petiduran Baru, Taman Dewa, Mandiangin, Lamban Sigatal, Sepintun, Bangan Permai , Semedang, Mentebah Kiri 2, Menarin, Sei Putih, Padang Jaya, Emotong, Akung Jaya, Sei Jambu, Sei Tekuyung. The data consists of information on household demographics, migration, education, asset ownership, income sources, household food security, progress out of poverty, crop production and sales, livestock products, participation in credit markets, social networks, and natural resource use. In compliance with the CGIAR protocol on collecting sex-disaggregated data, approximately 50% of the respondents interviewed were women. Before downloading any of the files, particularly the data files, please download and read the ’Sentinel Landscapes Network Disclaimer and Terms of Use’
Food Trees Project: Socio-economic data, food production data and food tree diversity and richness data
No full textRaw Data for the Food Trees Project: Socioeconomic data, food production data and food tree diversity and richness dat
Tools for Data Collection in Ethiopia for Agro-BioDiversity Project
No full textODK Tools XLS Forms for Data Collection in Ethiopia: Household Farm Data, Nutrition and Consumption Dat
Ag Biodiversity Project Study Maps
No full textAg Biodiversity Project Study Maps in Uganda and Ethiopi
Useful tree species for Eastern Africa: a species selection tool based on the VECEA map version 2.0.
No full textData sets describing the dominant, characteristic, present and marginal tree species for potential natural vegetation types mapped by the VECEA project (http://www.vegetationmap4africa.org) in 8 countries in eastern and southern Africa (Burundi, Ethiopia, Kenya, Malawi, Rwanda, Uganda, Tanzania, Zambia). Information is provided on documented products and services that each species provides, and hyperlinks are provided to a number of web-based databases. The data sets are made available as interactive Excel ‘species selectors’ allowing to select subsets of useful tree species for each vegetation type via http://www.vegetationmap4africa.org/3_Species/Species_selection_tool.htm
Food Trees Project Study Map: Laikipia, Kitui, Tharaka Nithi and Kwale
No full textFood Trees Project Study Map: Laikipia, Kitui, Tharaka Nith