Dataverse World Agroforestry (ICRAF)
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Nile-Congo SL Calculated Household Indicators
No full textCalculated household indicators for the Nile-Congo sentinel landscap
Replication data for: Mycoorrhizal status of Irvingia gabonensis in the tropical rain forest of cameroon.
No full textA study was carried out to assess mycoorrhizal status of Irvingia gabonensis in the tropical rainforest of Cameroon. Sampling was carried out in two rain fall regime of Cameroon in four different agroforestry systems. The quantity of different elements were collected as well
Dataset for supporting the net agronomic assessment of yield limiting factors in maize production in Machakos county, Kenya
No full textThis 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 testing accurate, consistent, and cost-effective measurement tools and methodologies for evaluating the outcomes of agricultural projects. Soils data was analysed by wet spectral methods to generate estimates of the Nitrogen (N), Phosphorus (K), and Potassium (P) levels in the soils which was then used as inputs for a stochastic crop production model. The decision model consisted of two main sections targeting interactions between biotic factors (rainfall variability, availability of soil nutrients, risk of drought and temperature) and abiotic factors (farm management practices/intensity of farm management). With the two datasets, we ran a risk-return model to project the productivity of maize production and highlight yield-limiting factors.
The project was funded by Bill & Melinda Gates Foundation and TechnoServe under the Innovation in Outcome Measurement (IOM) progra
Incidence and severity of colanut weevils on stored nuts from dehisced and indehisced pods
No full textThis study was carried out to show the incidence and severity of Cola nut weevils on stored nut from dehisced and indehisced pods. 50 pods were sampled in different area (Tugi, Ndu, Baya) and was treated and stored. Data collected were the number of larva, number of pupa, number of adults weevils, number of fruits with holes, number of diseased fruits and extend of infected area
Replication data for: Land Health Surveillance: Mapping Soil Carbon in Kenyan Rangelands
No full textLand health surveillance is a methodological framework for measuring and monitoring land health—the capacity of land to sustain delivery of ecosystem services—for the purpose of targeting agroforestry and other sustainable land management in landscapes, and assessing their impacts. It is modelled on scientific principles used in surveillance in the public health sector, which has a long history of evidence-informed policy and practice. Key elements of the science methodological framework are (1) probability-based sampling of well-defined populations of sample units; (2) standar
dized protocols for data collection to enable statistical analysis of patterns, trends, and associations; and (3) multilevel statistical modelling of land health attributes at different scales, including in relation to satellite imagery for spatial interpolation. The framework was applied in assessing soil carbon in Kenyan rangelands in Laikipia. Systematic probability-based field sampling provided a robust baseline on condition in the study area. Infrared spectroscopy was used in the laboratory as a rapid low-cost tool for estimating soil carbon concentration. The georeferenced soil carbon values were modelled to reflectance values of fine resolution (2 m) satellite imagery and spatially interpolated over the 100-km2 sampling block. The combination of methods makes soil carbon baselines feasible at a landscape level in land management projects and provides much additional information on soil and vegetation health for targeting interventions. The land health surveillance approach could form the basis for evidence-based decision making on land management at project, national, and even continental levels
Spatial Assessments of Changes in Soil Health Indicators in Kenya
No full textThe Land Degradation Surveillance Framework (LDSF) (http://landscapeportal.org/blog/2015/03/25/the-land-degradation-surveillance-framework-ldsf/) was developed by the World Agroforestry (ICRAF) in response to the need for consistent field methods and indicator frameworks to assess land and soil health across landscapes, including quantifying SOC and understanding land degradation dynamics and other factors that drive changes in SOC
Western Ghats 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 Westen Ghats sentinel site in India. A total of 1109 households were surveyed between July & September 2014 and April to July 2015 from 62 villages namely: Bellatha, Buthani, Dasanahundi, Hondarabalu, K.Devarahalli, Kuntugudi, Malladevanahallu, Shanivaramunti, Vodagere, Yerakanagadde Colony, Avandur, Benguru, Bettageri Bakka, Bettathur, Kaloor, Kolagadalu Paka, Kopatti, Kuranabane, Kuyyangeri, Vanachala, Glenmorgan, Thottalingi, Thakkal, Kovilpatti, Kurumbarpalayam, Kurumbarpadi, Moolakadu, Kozhikolli, Kodamula, Kadachanakolli, Theppakadu, Kamrajnagar, Kurunjinagar, Ellamalai, Puthurvayal, Ponkuzhi , Manmadhamoola, Athikkuny , Cherumoola, Alathoor , Kallumukku, Melemoola , Kuzhimoola, Rampalli, Veluthondi, Marukara , Kavumkarakunnu, Chappakolly, Karuvattimoola, Pallivayal, Kottanottu, Karissery , Choorikuni, Kumbarankolli, Kozhimoola, Pambaramoola, Chettiyalathoor, Odappalam , Valluvady , Anappandhi, Anappandhi2, Chettipampra. 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’
Ag Biodiversity Endline Survey Nutrition Data in Ethiopia
No full textAg Biodiversity Endline Survey Nutrition Data in Ethiopi
Replication Data for: Tree-Based Ecosystem Approaches (TBEAs) as Multi-Functional Land Management Strategies—Evidence from Rwanda
No full textDensely populated rural areas in the East African Highlands have faced significant
intensification challenges under extreme population pressure on their land and ecosystems. Sustainable agricultural intensification, in the context of increasing cropping intensities, is a prerequisite for deliberate land management strategies that deliver multiple ecosystem goods (food, energy, income sources, etc.) and services (especially improving soil conditions) on the same land, as well as system resilience, if adopted at scale. Tree based ecosystem approaches (TBEAs) are among such multi-functional land management strategies. Knowledge on the multi-functionality of
TBEAs and on their scaling up, however, remains severely limited due to several methodological challenges. This study aims at offering an analytical perspective to view multi-functional TBEAs as an integral part of sustainable agricultural intensification. The study proposes a conceptual framework to guide the analysis of socio-economic data and applies it to cross-site analysis of TBEAs in extremely densely populated Rwanda. Heterogeneous TBEAs were identified across Rwanda’s different agro-ecological zones to meet locally-specific smallholders’ needs for a set of ecosystem goods and services on the same land. The sustained adoption of TBEAs would be guaranteed if farmers subjectively recognize their compatibility and synergy with sustainable intensification of existing farming systems, supported by favorable institutional conditions
Agriculture for Nutrition and Health (A4NH)
No full textCRP4 (or A4NH = Agriculture for Nutrition and Health) is a research programme that works to accelerate progress in improving the nutrition and health of people by enhancing the synergies between agriculture, nutrition and health. ICRAF is involved in Theme 1 of CRP4, which is named âValue Chains for Enhanced Nutritionâ. This Theme is focusing on. Increasing the demand for nutritious foods among poor rural and peri-urban households and On identifying leverage (entr
y) points along the value chain where innovative nutrition interventions can be incorporated to stimulate both the demand and supply of nutritious foods.
Specifically, the project has the following objectives: To assess the fruit consumption levels of smallholder farming households in different parts of the regions ICRAF is working in, and to correlate this data with the number and diversity of fruit trees cultivated at the same farms. To document nutrient losses along fruit value chains and to develop techniques to maintain nutrients during processing, using mango (Mangifera indica) and baobab (Adansonia dig
itata) as example commodities </ol