In this study, we investigate the investment behavior of small-scale coffee farmers in central Uganda in an experimental setting. We consider a situation in which farmers are asked to make an investment under uncertainty and analyze whether and to what extent the Real Options Approach can predict the investment behavior of farmers and whether these predictions are better than those derived from the Net Present Value Approach. We also investigate whether the presence of a price floor has an effect on farmers’ investment behavior. Our results suggest that the Real Options Approach more accurately predicts the decision-making behavior of farmers than the Net Present Value Approach. However, the results also show that neither of the approaches entirely explains the observed investment behavior. Specifically, the presence of a price floor does not significantly affect the investment behavior. The latter is, however, significantly determined by the order in which treatments with and without price floor are introduced, alongside various demographic and socio-economic characteristics.
Tag: governance
Comparison of aboveground vegetation and soil seed bank composition at sites of different grazing intensity around a savanna-woodland watering point in West Africa
Audited Financial Statements 2018
Building livelihood resilience: what role does agroforestry play?
Understanding how to build livelihood resilience to an uncertain future is critical as livelihood systems must adapt to local and regional climatic change. Agroforestry, the integration of trees into an agricultural landscape, is one potential solution. However, while many intuitively link agroforestry with livelihood resilience, there is little factual evidence. This paper utilizes data from semi-arid Isiolo County, Kenya to explore if and how agroforestry is building livelihood resilience for smallholder farmers. This study included 20 qualitative case study households, 339 quantitative household surveys, and key informant interviews. In order to measure livelihood resilience, we drew from the five livelihood capital assets of the sustainable livelihoods approach: financial, human, social, physical, and natural capital. The major benefits of agroforestry were shade and fruit; the main tree species planted included mango, papaya, banana, guava, and neem. The average of all five livelihood capital scores was 10% higher for households practising agroforestry, indicating that those households may have more resilient livelihoods. Livelihood capitals were improved by both on-farm diversification and off-farm livelihood diversification. Agroforestry improved the overall quality of life for respondents. This paper provides four major findings that may be applied to build livelihood resilience through agroforestry.
Climbing the mountain fast but smart: Modelling rubber tree growth and latex yield under climate change
Pará rubber (Hevea brasiliensis Müll. Arg) plantations have expanded into regions with sub-optimal growth conditions: distinct dry seasons and temperatures cooler than in humid tropics. The impact of these new marginal environments and future climate change on rubber tree development and latex yield is largely unknown. This hampers reliable prediction of farmers’ revenues and extent of carbon sequestration at landscape level. To improve our understanding of rubber trees response to planting at high altitudes and associated increase in planting densities, we applied the process-based Land Use Change Impact Assessment tool (LUCIA). It was calibrated with detailed ground survey data from Xishuangbanna, southwest China to model tree biomass development and latex yield in rubber plantations at the tree, plot and landscape level. Plantations were analyzed at <900 m above sea level (a.s.l., lowland rubber) and ≧900 m a.s.l. (highland rubber) in order to characterize the effect of elevation on rubber trees. Three planting densities: low (600 trees ha−1) were tested. Four greenhouse gas emission scenarios, with Representative Concentration Pathways (RCP) ranging from the lowest RCP 2.6 to the highest emission scenario RCP 8.5, were used to test rubber tree response to climate change. During a 40-year rotation under current climate, lowland rubber plantations grew faster and had larger latex yields than highland rubber. The average biomass of lowland rubber was 9% and 18% higher than those of highland rubber for aboveground and belowground biomass, respectively. High planting density rubber plantations showed 5% and 4% higher above ground biomass than those at low- and medium-planting density, but simulations suggest that the cumulative latex production decreased strongly by 26% and 14% respectively. The results of the RCP 8.5 climate change scenario suggested that during 40 years simulation mean total biomass and cumulative latex yield of highland rubber (per tree) increased by 28% and 48%, while lowland rubber increased by 8% and 10% respectively when compared to the baseline. Other rubber cultivation regions could also benefit from this modelling approach that helps in optimization of carbon stock and latex production in rubber-based system. The results could help in development of future climate change adaption and mitigation strategies.
Inoculation and phosphorus fertilizer improve food-feed traits of grain legumes in mixed crop-livestock systems of Ethiopia
Grain legumes play an important role as source of food and feed in smallholder mixed systems. They also contribute to soil fertility improvement through biological nitrogen fixation. Although rhizobium inoculation and phosphorus fertilizer are known to improve grain yield of legumes, information is limited on the effect of this practice on the yield and fodder quality of the haulm. This study was conducted to evaluate the effects of rhizobium inoculation (I) and phosphorus fertilizer (P) on yield and nutritional quality of grains and haulms of grain legumes (faba bean, chickpea, common bean and soybean) on farm across diverse agroecological locations in the Ethiopian highlands. The crops were subjected to four treatments [+I, +P, −I + P and a negative control (-P-I)] at multiple locations on farm during the main cropping season in 2016. Yield data was recorded during grain harvesting, and subsequently representative samples of grains and haulms were collected and analyzed for quality variables. Effects of the treatments were significant (P < 0.05) with 30% increase on grain yield for all studied crops and 28% increase on haulm dry matter yield for faba bean, common bean and soybean. Crude protein (CP) and in vitro organic matter digestibility (IVOMD) values of faba bean, common bean and soybean haulms were higher (P < 0.05); and neutral detergent fiber (NDF) and acid detergent fiber (ADF) contents were lower (P < 0.05) for the treatments than the control. The haulm CP content and IVOMD of chickpea also responded positively (P < 0.05) to the treatments. The current results demonstrated the possibility of improving both yield and quality of grains and haulms of grain legumes with the application of efficient rhizobium inocula and P fertilization. This practice offers an opportunity for smallholders in the crop-livestock system to improve the food-feed traits of grain legumes with minimal input and environmental footprint.
North Lowland Ewaso Ngiro Rangelands: Initial System Analysis
This report summarizes this initial system analysis for the north lowland Ewaso Ngiro rangelands and identifies implications for subsequent activities in the LGACC project.
North Lowland Ewaso Ngiro Rangelands: Governance Assessment
This study assessing the governance system, and particular governance mechanisms, that pertain to an adaptation landscape in north-central Kenya which we refer to as the north lowland Ewaso Ngiro rangelands.
Ability of institutions to address new challenges
What types of institutional configurations hold the most promise in fostering efforts for long-term amelioration of enduring environmental, social, and economic challenges facing the world’s forests This chapter presents, and applies an analytical framework with which to review research findings and analyses that shed light on what appear to be the most promising institutional settings with which to address these drivers, ameliorate problems, and encourage responsible and sustainable forest management around the globe. Our framework focuses attention on the shift from government to governance; political authority; disentangling abstract policy for specific requirements; and capacity enhancing knowledge-generating and administrative institutions. We reveal that the global nature of economic, social, and environmental demands on the world’s forests, and complex commercial trade relationships, require that we integrate analyses of domestic and local responses to assess the role of innovative regional and global institutions designed to address these “good governance” challenges. We conclude by calling for much greater attention to the potential of synergistic institutional intersection to respond to new and enduring challenges in ways that single interventions or institutions are unable to do so.
Uncertainty, ignorance and ambiguity in crop modelling for African agricultural adaptation
Drawing on social constructivist approaches to interpreting the generation of knowledge, particularly Stirling’s (Local Environ 4(2):111–135, 1999) schema of incomplete knowledge, this paper looks critically at climate-crop modelling, a research discipline of growing importance within African agricultural adaptation policy. A combination of interviews with climate and crop modellers, a meta-analysis survey of crop modelling conducted as part of the CGIAR’s Climate Change Agriculture and Food Security (CCAFS) programme in 2010, and peer-reviewed crop and climate modelling literature are analysed. Using case studies from across the crop model production chain as illustrations it is argued that, whilst increases in investment and growth of the modelling endeavour are undoubtedly improving observational data and reducing ignorance, the future of agriculture remains uncertain and ambiguous. The expansion of methodological options, assumptions about system dynamics, and divergence in model outcomes is increasing the space and need for more deliberative approaches to modelling and policy making. Participatory and deliberative approaches to science-policy are advanced in response. The discussion highlights the problem that, uncertainty and ambiguity become hidden within the growing complexity of conventional climate and crop modelling science, as such, achieving the transparency and accessibility required to democratise climate impact assessments represents a significant challenge. Suggestions are made about how these challenges might be responded to within the climate-crop modelling community.