Browsing by Author "Eid, T."
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Item Allometric models for prediction of above- and belowground biomass of trees in the miombo woodlands of Tanzania(Elservier) Mugasha, W. A.; Mugasha, W. A.; Eid, T.; Bollandsås, O. M.; Malimbwi, R. E.; Chamshama, S. A. O.; Zahabu, E.; Katani, J. Z.Item Allometric tree biomass and volume models in Tanzania(Department of Forest Mensuration and Management, Sokoine University of Agriculture) Malimbwi, R. E.; Eid, T.; Chamshama, S. A. O.Item Allometric tree biomass and volume models in Tanzania(Department of Forest Mensuration and Management Faculty of Forestry and Nature Conservation Sokoine University of Agriculture) Malimbwi, R.E.; Eid, T.; Chamshama, S.A.O.Item Allometric tree biomass and volume models in Tanzania(Department of Forest Mensuration and Management, Sokoine University of Agriculture, 2016) Malimbwi, R. E.; Eid, T.; Chamshama, S. A. O.The publication is one of outputs of the project on "Development of biomass estimation models for carbon monitoring in selected vegetation types of Tanzania” under the Climate Change Impacts, Adaptation and Mitigation (CCIAM) programme at Sokoine University of Agriculture(SUA), The publication has multiple contributors who participated in different different specializations. The main objective of the project was to develop models and methods for assessing and monitoring carbon stocks in Tanzania required for implementation of REDD+ at local as well as national levels. Vegetation types/tree species covered were miombo woodlands, lowland and humid montane forests, mangrove forests, thicket, Acacia-Commiphora woodlands, forest plantations (Pinus patula and Tectona grandis), and coconut, cashewnut and baobab trees. For some vegetation types, both biomass and volume models were developed while for others only biomass models have been covered. For some vegetation types, both biomass and volume models were developed while for others only biomass models have been covered. The book may be useful for scholars who wish to engage in tree allometric modelling. The developed models may also be used in REDD+ estimations and other iicarbon trade mechanisms. It may also be useful to the practicing forester for determination of forest stocking levels needed for forest planning.Item Biomass and volume models for different vegetation types of Tanzania(E&D Vision Publishing Ltd) Malimbwi, R. E.; Mauya, E. W.; Zahabu, E.; Katani, J. Z.; Chamshama, S. A. O.; Eid, T.; Bollandsås, O. M.; Maliondo, S. M. S.; Mugasha, W. A.; Masota, A. M.; Njana, M.; Makero, J. S.; Mshana, J. S.; Luganga, H.; Mathias, A.; Msalika, P.; Mwangi, J.; Mlagalila, H. E.Item Biomass and volume models for different vegetation types of Tanzania(E&D Vision Publishing Ltd, 2016) Malimbwi, R. E.; Mauya, E. W.; Zahabu, E.; Katani, J. Z.; Chamshama, S. A. O.; Eid, T.; Bollandsås, O. M.; Maliondo, S. M. S.; Mugasha, W. A.; Masota, A. M.; Njana, M.; Makero, J. S.; Mshana, J. S.; Luganga, H.; Mathias, A.; Msalika, P.; Mwangi, J.; Mlagalila, H. E.Climate change and high rates of global carbon dioxide (CO2) emissions have increased the attention paid to the need for high-quality monitoring systems to assess how much carbon (C) is present in terrestrial systems and how these change over time. The choice of a system to adopt relies heavily on the accuracy of the method for quantifying biomass and volume as important primary variables for computing C stock and changes over time. Methods based on ground forest inventory and remote sensing data have commonly been applied in the recent decade to estimate biomass and volume in the tropical forests. However, regardless of the method, accurate tree level biomass and volume models are needed to translate field or remotely sensed data into estimates of forest biomass and volume. Therefore, the main goal of this study was to develop biomass and volume models for the forests, woodlands, thickets, agroforestry systems and some selected tree species in Tanzania. Data from destructively sampled trees were used to develop volume and above- and below-ground biomass models. Different statistical criteria, including coefficient of determination (R2), relative root mean square error (RMSE %) and Akaike Information Criterion (AIC), were used to assess the quality of the model fits. The models selected showed good prediction accuracy and, therefore, are recommended not only to support the ongoing initiatives on forest C Measurement, Reporting and Verificatio (MRV) processes but also for general forest management in Tanzania.Item Decision-support tool for management of miombo woodlands: a matrix model approach(SOUTHERN FORESTS) Mugasha, W. A.; Bollandsås, O. M.; Gobakken, T.; Zahabu, E.; Katani, J. Z.; Eid, T.Item Forest cover changes, stocking and removals under different decentralized forest management regimes in Tanzania(Forest Research Ins) Mongo, C.; Kashaigili, J. J.; Malimbwi, R. E.; Kajembe, G. C.; Katani, J.; Eid, T.Item Forest cover changes, stocking and removals under different decentralized forest management regimes in Tanzania(Forest Research Ins, 2013) Mongo, C.; Kashaigili, J. J.; Malimbwi, R. E.; Kajembe, G. C.; Katani, J.; Eid, T.By the end of the last century many countries including Tanzania moved from centralised towards decentralised forest management but little empirical evidence exists on how such changes have influenced forest conditions. The objective of this study was to provide insights on how decentralised approaches might influence forest resource conditions. Forest cover analyses from satellite images (1993, 2000 and 2009) and systematic sample plot inventories (2009) in two state forest reserves under joint forest management (JFM) and two village forest reserves under community-based forest management (CBFM) in Babati District, Tanzania were carried out. Based on the results, it was not possible to claim that the decentralised management had been successful in improving forest conditions. Proportions of closed woodland decreased significantly over time (from over 80 to 50-60% under JFM and from around 70 to almost 0% under CBFM. In all forests, numbers of régénérants were high, but proportions of larger trees were low and levels of removals (legal and illegal) were relatively high. In general the situation under JFM was better than under CBFM. Results of this study can be used by policymakers to assess the influence of decentralised forest management in Tanzania.Item Impact of decentralised forest management on forest resource conditions in Tanzania(Forests, Trees and Livelihoods) Mbwambo, L.; Eid, T.; Malimbwi, R. E.; Zahabu, E.; Kajembe, G. C.; Luoga, E.Item Impact of decentralised forest management on forest resource conditions in Tanzania(Forests, Trees and Livelihoods, 2012) Mbwambo, L.; Eid, T.; Malimbwi, R. E.; Zahabu, E.; Kajembe, G. C.; Luoga, E.Impacts of decentralised forest management on forest resource changes were assessed. Six contrasting forest reserves regarding management regimes, that is, Joint Forest Management (JFM; in National Forest Reserves, owned by the State), Community Based Forest Management (CBFM; in village lands or general lands), and ordinary centralized state management, were selected. The forest resources were assessed by means of systematic sample plot inventories. Number of stems, basal area, volume, biomass, and carbon ha21 were compared with results from previous studies in the same reserves. Harvesting activities were also assessed as part of the sample plot inventories. In general, the results were somewhat ambiguous regarding the impacts of different management regimes. There was, however, some empirical evidence indicating that JFM and CBFM performed better than the ordinary state management, although uncontrolled exploitation of the forest has continued under decentralised forest management in the studied forests. The two regimes are promising forest decentralisation models for Tanzania, but more research is needed to understand the functions of different governance structures and how they may facilitate sustainability in both forest use and livelihoods.Item Influence of forest land tenure regimes on forest condition in Uluguru mountains, Tanzania(African Journals Online (AJOL)) Kitula, M. H.; Kajembe, G. C.; Zahabu, E.; Luoga, E. J.; Katani, J. Z.; Ngowi, S. E.; Eid, T.Item Role of communal and private forestland tenure regimes in regulating forest ecosystem goods and services in Rombo district, Tanzania(African Journals Online) Kaniki, H. N.; Kajembe, G. C.; Zahabu, E.; Katani, J. Z.; Eid, T.Item Role of communal and private forestland tenure regimes in regulating forest ecosystem goods and services in Rombo district, Tanzania(African Journals Online, 2012) Kaniki, H. N.; Kajembe, G. C.; Zahabu, E.; Katani, J. Z.; Eid, T.This study was undertaken to compare provisioning of forest ecosystem goods and services in Manuo Hill Communal Forest and Shirima Private Forest in Rombo District, Tanzania. Fuel wood was a key forest ecosystem good and biodiversity protection was a key forest ecosystem service identified. Manuo Hill communal forest had lower endowments values in terms of number of stems (1376 stems/ha), basal area (2.6 m2/ha), volume (7.3 m3/ha) and carbon stock (2.1 tons/ha) compared to the Shirima private forest with 2214 stems/ha, basal area of 3.2 m2/ha, volume of 11.2 m3/ha and carbon stock of 3.2 tons/ha. Only volume and carbon stock were significantly different between the forests. Species diversity was more or less similar between the forests. Tree removals were higher in communal (1.5 m3/ha) than in private (1.0 m3/ha) but they were not significantly different. Endowments in terms of tenure rights were better in communal forest than in private. More people were entitled to fuel wood from communal forest (78%) than from private (32%). Environmental benefits of biodiversity protection were entitled to everybody in both forests. It was concluded that no single tenure regime can achieve all objectives of forest management. Instead, balancing between different tenures is recommended.