Dataverse World Agroforestry (ICRAF)
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Priority Food Tree and Crop Food Composition Database
No full textThe database contains information on the composition of selected tree foods and crops with geographical focus on sub-Saharan Africa.
Tree foods are nutritious edible foods from trees and shrubs including fruits, vegetables, seeds, nuts and edible oils. Next to these foods, pulses, cereals and starchy roots and tubers are included.
The current version (version 1) contains 132 foods (out of 99 species) and 30 components. All component values are presented per 100 g edible portion on fresh weight basis (EP).
In addition to actual food composition values the database includes scores for all foods for whether they are a “high source”, “source”, “present, but low source”, or “not a source” of the selected micronutrients iron, vitamin A, folate and vitamin C.
Searches can be done by food name, scientific name and by food grou
CAFHUT 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 CAFHUT sentinel site in Cameroon. A total of 935 households were surveyed on May, June, August and December 2014, November and December 2015, January 2016 from 38 villages namely: Mbang_2, Nkolmveng, Ndelle, Yebe, Mekouma, Ngoumesseng, Nsan_Ii, Bifos, Niamvoudou, Abeng_Nnam, Ngola Baka, Kongo, Ngola Nzime, Achip_2, Eschiambor, Moanguele_Bosquet, Nemeyong_Iii, Mayang, Melene, Doumzok_2, Assok, Akom, Ekombitie, Nkolkoumou, Bite, Mboutoukong, Nkolfong, Lele, Tobagne, Yorro, Kedia, Bongando, Yangben, Batanga, Bakoa, Bougnougoulouck, Tchekos, Ossimb 1.
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’ file
Trees for Food Security Project participatory trials follow up study in Rwanda
No full textA survey was conducted in 2014 to determine farmers’ perception on the agroforestry trials established under the Australian Centre for International Agricultural Research (ACIAR) funded ‘Trees for Food Security’ (T4FS) project in Rwanda. The trials form part of Work Package (WP) 2 activities- obtaining and documenting feedback from farmers with participatory trials. The specific objectives of the study were to: 1) Determine the number of farmers and technologies in place. 2) Understand farmers’ perception towards effectiveness of the technologies. 3) Determine challenges faced in implementation of the technologies and 4) Identify opportunities for improvement of the technologies
Replication Data for: Addressing the paradox – the divergence between smallholders’ preference and actual adoption of agricultural innovations
No full textExperiences in smallholder contexts indicate frequent mismatches between technologies introduced and needs of farmers who must make complex decisions in reallocating their limited resources under highly risky ecological and market contexts. This study proposes a cost- and time-effective, easy-to-implement approach to identify farmers’ priorities and critical intervention areas, and presents its application in guiding an agroforestry strategy in Rwanda. It was found that different tree species have distinctive enabling vs. constraining conditions under different agroecological contexts in the perspective of smallholder farmers. Tree species preferred by farmers were not necessarily widely adopted if multitudes of conditions were not enabling. The essential conditions for sustainable adoption include: quality materials/inputs are available; technologies are compatible with existing local farming systems; they are resilient to climate risks/resistant to pests-diseases; management is not complicated; and, there is guaranteed access to markets. The results show that there will not be a silver bullet national strategy to scale up agroforestry. Instead a matrix kind of strategies -to promote enabling conditions and address constraining conditions for priority species in specific agroecologies- will be required. The proposed concept should be further refined for wider agricultural technology transfer debates to break the myths of low uptakes by smallholders
Replication Data for Tree distribution in Phou Khao Khoauy National Park, Laos.
No full textIn Lao PDR, which is located at the northern edge of the tropics, several distinct forest types, including both deciduous and evergreen forests, occur in close proximity with one another. Evergreen coniferous forest dominated by Pinaceae often occur at higher elevations. However, at lower elevations other deciduous and evergreen forest types occur in very close proximity. We sampled two forest types at Phou Khao Khoauy National Park, 40 km NE of Vientiane in central Laos, to investigate the factors determining tree species distribution. Eleven 0.25 (50 m x 50 m) were set up between 300-450 m elevation and all trees ≥10 cm were enumerated. Plot locations were randomly assigned after stratifying by forest type (mixed deciduous forest, dominated by Fagaceae, and dry evergreen diperocarp forest) and 47 families, 70 genera and 123 species were identified. Soil samples were collected from two locations per plot, each sample was collected at two depths, between 0-10 cm and 10-20 cm depth and analyzed for basic soil parameters (pH, organic matter (OM), nitrogen (N) and phosphorus (P), potassium oxide (K2O), particle size and texture). We ran cluster analysis based on similarity using abundance data for plant community group identification. Next, we ran non-metric multidimensional scaling (NMDS) and a post-hoc non-parametric tests to examine the influence of soil parameters on plant distribution. Cluster analysis identified two significantly (P<0.05) different groups of plots. . Phosphorus (p = 0.021), K20 (p = 0.029), sand (0.007) and clay (0.008) were significantly associated with variation in species composition among plots. Our results confirmed that in Laos, which located on the northern edge of the tropics, substantial turnover in tree species composition sometimes occurs over short distances, although tree species may be shared among forest types. Moreover, turnover in species composition appears to be associated with soil conditions
Merged Cleaned Nutrition and Farm Data for Baseline and Endline
No full textMerged Cleaned Nutrition and Farm Data for Baseline and Endlin
Production data of camu camu production in 15 communities in Ucayali
No full textData in Spanish on camu camu production in 15 communities in Ucayali, Peru
Building Biocarbon and Rural Development in West Africa (BIODEV), WP1.2
No full textThe Building Biocarbon and Rural Development in West Africa Programme aims to demonstrate the multiple developmental and environmental wins that result from a high value biocarbon approach to climate change and variability in large landscapes principally in Mali, Sierra Leone and Guinea. The Programme will also build local institutions and capacity to be able to sustain the benefits in the sites and will establish linkages with related initiatives to jointly build national and regional capacity to scale up the approaches into other programmes and projects. The themes of the Programme are very closely linked to Finland's international development priorities and are closely aligned with the priorities expressed in its national poverty reduction and climate change adaptation strategies. Furthermore, the Programme aims to generate critical information that can fill the global knowledge gaps on how to better link climate change mitigation and adaptation thrusts and how to make these actions work effectively to enhance the livelihoods of rural communities. (2015
Building Biocarbon and Rural Development in West Africa (BIODEV), WP1.1
No full textThe Building Biocarbon and Rural Development in West Africa Programme aims to demonstrate the multiple developmental and environmental wins that result from a high value biocarbon approach to climate change and variability in large landscapes principally in Mali, Sierra Leone and Guinea. The Programme will also build local institutions and capacity to be able to sustain the benefits in the sites and will establish linkages with related initiatives to jointly build national and regional capacity to scale up the approaches into other programmes and projects. The themes of the Programme are very closely linked to Finland's international development priorities and are closely aligned with the priorities expressed in its national poverty reduction and climate change adaptation strategies. Furthermore, the Programme aims to generate critical information that can fill the global knowledge gaps on how to better link climate change mitigation and adaptation thrusts and how to make these actions work effectively to enhance the livelihoods of rural communities. (2015
Mid-infrared and total X-ray fluorescence spectroscopy complementarity for assessment of soil properties
No full textDiffuse reflectance Fourier transformed mid-infrared (DRIFT-MIR) spectroscopy can predict many soil properties but extractable nutrients are often predicted poorly. This paper tested the combined DRIFT-MIR and total X-ray fluorescence (TXRF) spectroscopy analysis for prediction of soil properties related to soil fertility. A total of 700 soil samples from 44 stratified randomly located 100-km2 sentinel sites distributed across Sub-Saharan Africa (SSA) were analysed for physicochemical composition using conventional reference methods, and compared with MIR and TXRF spectra using Random Forests (RF) regression algorithm and an internal out-of-bag (OOB) validation. Mid-infrared spectra resulted in good prediction models (R2 > 0.80) for organic C and total N, Mehlich-3 Ca and Al, and pH. Moderately predicted (R2 > 0.60) were extractable Mg, P sorption index, sand, silt, and clay. Models were less satisfactory (R2 < 0.60) for Mehlich-3 extractable K, Mn, Fe, Cu, B, Zn, P, S, and Na, exchangeable acidity and electrical conductivity (Ecd). Inclusion of total element concentration data from TXRF analysis in the MIR RF models significantly reduced root mean square error of prediction by 70% for Ecd, 66% for Mehlich-3 Na, 61% for Mehlich-3 S, and 50% for Mehlich-3 B due to detection
by TXRF of some saline soils that were not well predicted by MIR. Overall, both methods predicted soil properties that relate to nutrient buffering capacity, including some exchangeable bases, pH, P sorption capacity, clay content, and organic matter content, and fingerprint basic soil mineralogy. Thus, further research should test whether MIR and TXRF fingerprinting could better predict soil nutrient supply capacity, as determined by crop nutrient uptake potential, than conventional soil P, K and micronutrient tests