Browsing by Author "Malimbwi, R. E."

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A national forestry resources monitoring and assessment of Tanzania (NAFORMA)
(FAO) Vesa, L.; Malimbwi, R. E.; Tomppo, E.; Zahabu, E.; Maliondo, S.; Chamuya, N.; Maliondo, S.; Nsokko, E.; Otieno, J.; Dalsgaard, S.
A national forestry resources monitoring and assessment of Tanzania (NAFORMA)
(FAO, 2010) Vesa, L.; Malimbwi, R. E.; Tomppo, E.; Zahabu, E.; Maliondo, S.; Chamuya, N.; Maliondo, S.; Nsokko, E.; Otieno, J.; Dalsgaard, S.
In Tanzania, the state and trends of the forestry resources are largely unknown. The existing information is fragmented and outdated. Reliable information on Tanzanian forest resources is mainly constrained by the lack of institutional capacity. Under the National Forest Programme of Tanzania, the National Forestry Resources Monitoring and Assessment (NAFORMA) was identified as a priority activity for the Forest and Beekeeping Division (FBD). The results of NAFORMA are needed to support the national policy processes for the enhancement of sustainable forest management (SFM) while at the same time addressing issues of Reduced Emissions from Deforestation and Forest Degradation (REDD) and Green House Gas (GHG) as international reporting obligations. Yet, the demand of the stakeholders in Tanzania for data and information on the state of the forestry resources is continuously expanding. This project is planned to develop complete and sound baseline information on the forest and tree resources, assist the FBD to set up a specialized structure and put in place a long term monitoring system of the forestry ecosystems. The inventory will eventually yield information about vegetation cover, forest resources, forest utilization, and importance of forests and forest product for communities in Tanzania. When the inventory exercise is based on statistically sound sampling design, careful field work, and advanced data analysis, the final inventory report will provide estimates for biomass and carbon in Tanzanian forest lands. This information will serve emerging demands when building up forest monitoring system and international carbon trade schemes. Proper planning is crucial for the project to meet its goals. This includes preparation of field manual to enable field crews to collect relevant data for the project. The purpose of this field manual is to provide the FBD inventory staff with structured information on the inventory techniques that will lead to the achievement of the intended output.
Allometric Biomass and Volume Models for Coconut Trees
(E&D Vision Publishing Ltd) Zahabu, E.; Mugasha, W. A.; Malimbwi, R. E.; Katani, J. Z.
Allometric Biomass and Volume Models for Coconut Trees
(E&D Vision Publishing Ltd, 2018-05-12) Zahabu, E.; Mugasha, W. A.; Malimbwi, R. E.; Katani, J. Z.
Allometric Biomass and Volume Models for Tectona Grandis Plantations
(E&D Vision Publishing Ltd) Zahabu, E.; Mugasha, W. M.; Katani, J. Z.; Malimbwi, R. E.; Mwangi, J. R.; Chamshama, S. A. O.
Allometric Biomass and Volume Models for Tectona Grandis Plantations
(E&D Vision Publishing Ltd, 2018-05-12) Zahabu, E.; Mugasha, W. M.; Katani, J. Z.; Malimbwi, R. E.; Mwangi, J. R.; Chamshama, S. A. O.
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.
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.
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.
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.
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.
Charcoal Potential of Miombo Woodlands at Kitulangalo, Tanzania
Malimbwi, R. E.; Zahabu, Eliakimu; Monela, G. C.; Misana, Salome B.; Jambiya, George C.; Mchome, B.
Charcoal potential of Mombo woodlands at kitungalo, Tanzania
(Forest Research Institute Malaysia) Malimbwi, R. E.; Zahabu, E.; Monela, G. C.; Misana, S.; Jambiya, G. C.; Mchome, B.
Charcoal potential of Mombo woodlands at kitungalo, Tanzania
(Forest Research Institute Malaysia, 2005-04-01) Malimbwi, R. E.; Zahabu, E.; Monela, G. C.; Misana, S.; Jambiya, G. C.; Mchome, B.
A study was carried out to determine the charcoal potential of the miombo woodlands of Kitulangalo area, near Morogoro, Tanzania. Systematic sampling design used in an inventory in 1996 was repeated in 1999 in order to determine the general current stand parameters and forest change. A total of 46 sample plots were laid out in the forest reserve. In adjacent public lands stratified random sampling was applied where a total of 30 plots were laid out. The layout was meant to study how species richness and wood stocking vary in public lands and forest reserve. Preferred tree species for charcoal making had standing wood volume of 24.5 m 3 ha- 1 and 56.5 m 3 ha-' in public lands and reserved forest respectively with corresponding basal area of 3.7 m 2 ha-' and 7.2 m2 ha- 1 . Stem numbers were 909 stems ha- 1 in public lands and 354 stems ha-'in the reserved forest. These values indicated more regeneration in public lands following disturbance than in the forest reserve. The weight of charcoal that can be extracted from the woodland at the roadside was 56 kg, equivalent to only one bag of charcoal per hectare. Similarly 54 bags may be extracted at 5 km distance while 125 bags may be extracted from beyond 10 km from the highway. With the established stand growth rate of 2.3 m 3 ha- 1 year-1' for the regrowth of miombo woodland at Kitulangalo, it will take about 8 to 15 years for the degraded woodlands to recover for charcoal production. Therefore, for sustainable charcoal production in this area, felling cycles of 8 to 15 years are recommended, provided the minimum tree size of > 10 cm dbh (diameter at breast height) for charcoal making is observed.
Community perceptions on the impact of decentralised forest management on access to livelihood assets in the North Eastern And Central Tanzania
(Ethiopian Journal of Environmental Studies & Management) Mwambo, L.; Malimbwi, R. E.; Kajembe, G. C.
Comparison of volume production, basic density and stem quality between acacia mangium and acacia Aubicuuformis grown in Zanzibar
(Forest Research Institute Malaysia) Ali, M.S.; Malimbwi, R. E.; Iddi, S.
Comparison of volume production, basic density and stem quality between acacia mangium and acacia Aubicuuformis grown in Zanzibar
(Forest Research Institute Malaysia, 1997) Ali, M.S.; Malimbwi, R. E.; Iddi, S.
Comparison of volume production, basic density and stem quality between Acacia mangium and Acacia auriculiformis grown in Zanzibar. Volume production, basic density and stem quality of 6-y-old Acacia mangium and A. auriculiformis grown in Zanzibar were compared. Twenty-one plots (11 plots for Acacia mangium and 10 for A. auriculiformis ) were established and used for data collection. From each plot one to two trees free from obvious defects were selected for basic density determination. Cores were then extracted from the selected trees using an increment borer. Basic density of the cores was determined by the water displacement method. Height and diameter data were used for volume estimation. Stem quality was assessed using the scoring method, 4 being the best and 1 the worst. At age 6 y, diameter and height growth did not vary significantly (p = 0.05) between the two species. More than 50 m3 ha"1 volume production was achieved in both species. The average volume weighted basic density values for A. mangium and A. auriculiformis were 570 kgm"3 and 617 kgm"3 respectively. The basic density values for the two species differed significantly (p = 0.05). Stem quality was better in A. mangium than in A. auriculiformis. Based on density, A. auriculiformis can be recommended for fuelwood production whereas A. mangium should be recommended for transmission and building poles due to its good stem form.
Distribution, population structure and carbon storage of bamboo species in Tanzania
(INFORES project) Aloyce, E.; Manyanda, B. J.; Macrice, S. A.; Mugasha, W. A.; Malimbwi, R. E.
Distribution, population structure and carbon storage of bamboo species in Tanzania
(INFORES project, 2019) Aloyce, E.; Manyanda, B. J.; Macrice, S. A.; Mugasha, W. A.; Malimbwi, R. E.
Sustainable management of forest resources requires information regarding quantities and quality of the resources. Despite this fact, the existing information for bamboo forest resources in Tanzania regarding abundance, distribution along altitudinal ranges, density, basal areas and carbon stocks is inadequate, site specific and fragmented. Based on 696 plots out of 30 773 plots surveyed by the National Forest Resources Assessment and Monitoring (NAFORMA), the present study assessed the distribution, abundance and carbon storage of bamboo species in Tanzania in R software. Results indicates that, 11 bamboo species from five genera and two tribes were recorded in Tanzania. They are dominated by Arundinaria alpina and Oxytenanthera abyssinica that constitutes 55.9% of the total bamboo population and are distributed in only 11 administrative regions of the country. They occur at altitude of 76 m.a.s.l to 2592 m.a.s.l, whereby about 85.2% of bamboo population are distributed below 1500 m.a.s.l. Moreover, bamboo occurs more abundantly in woodland (66%) and least in open land (0.1%). Similarly, most of the bamboo is in the production forests (44.7%) followed by Agriculture land (19.5%) while wetlands have the least (0.4%). Results further indicates that bamboo species have a mean stocking, basal area and carbon stocks of 2460 culms/ha, 2.391 m 2 /ha and 1.566 tC/ha respectively. Since most of the carbon is stored by Arundinaria alpina and Oxytenanthera abyssinica that contributes 58.2% of the total carbon stored by bamboo species in the country, efforts should be strengthened to manage these species. Likewise, for mitigating climate change bamboo species should be planted in altitude below 1500 m a.s.l. Due to lack of bamboo allometric biomass models in Tanzania, the models used in this study was borrowed from Kenya and Ethiopia, indicating the need to develop such models for Tanzanian bamboo.
Estimation of biomass and volume in Miombo Woodland at Kitulangalo Forest Reserve, Tanzania
(Forest Research Institute Malaysia) Malimbwi, R. E.; Solberg, B.; Luoga, E.