Browsing by Author "Kiyingi, Isaac"
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Item The Economics Of The Carbon Sequestration Potential Of Plantation Forestry In South-Western Uganda(a Journal of Forest Science, 2016) Kiyingi, Isaac; Edriss, Abdi-Khalil; Phiri, Alexander MR; Mukadasi, Buyinza; Tumwebaze, Susan; Agaba, HillaryThis study assessed the amount of carbon stored and the economic viability of the small-scale Clean Development Mechanism (CDM) carbon offsets in Pinus caribaea and Eucalyptus grandis plantations under varying rotations. Volume equations were used to estimate carbon stocks and merchantable wood volume in the plantations, while net present value (NPV) and annual equivalent value (AEV) were used as measures of profitability at the optimum economic rotation age as well as at the CDM-defined crediting period of 20 years. The findings show that over a 20-year rotation, E. grandis and P. caribaea plantations sequestered 638 and 418 t CO2-e ha−1, respectively. The NPVs of E. grandis and P. caribaea with carbon credits over the CDM carbon-crediting period of 20 years were US$2 540 ha−1 and US$1 814 ha−1, respectively. This is higher than the NPVs without carbon credits of US$1 543 ha−1 and US$1 390 ha−1 for E. grandis and P. caribaea, respectively. The AEV of E. grandis harvested at its optimal economic rotation of 10 years was US$316 ha−1. This is slightly higher than the AEV of US$298 ha−1, utilising the CDM carbon-crediting period of 20 years. In contrast, the AEV of P. caribaea under the 20-year CDM carbon-crediting period was higher than harvesting at the optimal economic rotation of 16 years without carbon credits. When the average CDM contract establishment costs exceed US$500 ha−1 and US$1 000 ha−1 for P. caribaea and E. grandis woodlots, respectively, it is not economically viable for one to participate in the CDM forest carbon offsets programme. In conclusion, the study results indicate that whereas E. grandis has a higher biological potential to sequester carbon than P. caribaea, it is currently not economically viable for participation in the CDM forest carbon offset scheme. In contrast, it is economically viable for P. caribaea plantations to participate in the CDM, if the CDM contract establishment costs are low.Item Influence of Socio‑Technological Factors on Smallholder Farmers’ Choices of Agroforestry Technologies in the Eastern Highlands of Uganda(Small-scale Forestry, 2021) Kalanzi, Fred; Birungi Kyazze, Florence; Isubikalu, Prossy; Kiyingi, Isaac; Justus Baguma Orikiriza, Lawrence; Okia, Clement; Guuroh, Reginald Tangremedy to counter declining farm productivity. Over the last decades, researchers and other actors have promoted several agroforestry technologies to improve farm productivity. Sometimes, the promotion message provided through extension assumes a homogenous smallholder farmers’ context. However, smallholder farmers’ social and farm contexts are heterogeneous. Smallholder farmers make different choices of which technologies fit their contexts. A range of factor categories influence and (re)shape choice decisions of smallholder farmers. In this paper, the authors seek to articulate the importance of socio-technological factors shaping smallholder farmers’ choices of specific agroforestry technologies on their farms. Knowledge of these factors provides insights that inform the design of refined farmer contextbased extension messages, consequently enhancing the scaling-up of agroforestry technologies. The Decomposed Theory of Planned Behaviour was used as the main framework to understand smallholder farmers’ choice decisions among agroforestry technologies. We used a mixed methods approach. Quantitative data were collected from 277 randomly selected farming households in the eastern highlands of Uganda. Qualitative data that complemented the quantitative were collected using focus group discussions. An alternative-specific conditional logit model was used to model smallholder farmers’ agroforestry choices. Results indicated that the number of tree species desired by the farmer and the perceived value of the technology were the most critical factors that commonly influence smallholder farmers’ choice of agroforestry technologies. The influence of other factors such as gender, the number of training sessions attended, total land owned, peer influence and perceived behavioural control were technology-specific, suggesting the need to tailor agroforestry interventions to specific farmer categories.