Browsing by Author "Malimbwi, R."

Now showing 1 - 2 of 2
  • Thumbnail Image
    Item
    Bamboo: a potential resource for contribution to industrial development of Tanzania
    (Researchgate, 2019) Lyimo, J. P.; Malimbwi, R.; Samora, A. M.; Aloyce, E.; Kitasho, N. M.; Sirima, A. A.; Emily, C. J.; Munishi, P. K.; Shirima, D. D.; Mauya, E.; Chidodo, S.; Mwakalukwa, E.E.; Silayo, D.S.A; Mlyuka, G. R.
    Bamboo is an important non-timber forest product and a major wood substitute. Itcan be processed and fabricated into different products as a substitute for wood products at an industrial scale. However, the available information on bamboo resources availability, its properties and potential for contribution towards Sustainable Development Goals is limited. Therefore, this study aimed at determining the potentials of bamboo resources for sustainable industrial development in Tanzania. Specifically, the study aimed at exploringavailable bamboo resources, unique propertiesand its potential for contribution to Sustainable Development Goals in Tanzania. We conducted a comprehensive literature review in Tanzania mainland, supported by field visits to validate the National Forest inventory bamboo data. We used meta-analysis to generate descriptive statistics of the variables of interest. Results show that bamboo covers about 1,025,033 ha in Tanzania mainland, dominated by Yushania alpina, Bambusa vulgaris, Bambusa bambos and Oxytenanthera abyssinica. Bamboo has unique physical, chemical, and mechanical properties compared to wood, steel, cements and plastics, ithas many unique properties related to strength, elasticity and lightness, which could be used to contribute towards Tanzania industrial development ambitions.Use of bamboo resources can contribute to achievement ofsix of the 17 Sustainable Development Goals.
  • Thumbnail Image
    Item
    Combining airborne laser scanning and Landsat data for statistical modeling of soil carbon and tree biomass in Tanzanian Miombo woodlands
    (Springer Open, 2017-04-17) Egberth, M.; Nyberg, G.; Næsset, E.; Gobakken, T.; Mauya, E; Malimbwi, R.; Katani, J.; Chamuya, N.; Bulenga, G.; Olsson, H.
    Background: Soil carbon and biomass depletion can be used to identify and quantify degraded soils, and by using remote sensing, there is potential to map soil conditions over large areas. Landsat 8 Operational Land Imager satellite data and airborne laser scanning data were evaluated separately and in combination for modeling soil organic carbon, above ground tree biomass and below ground tree biomass. The test site is situated in the Liwale district in southeastern Tanzania and is dominated by Miombo woodlands. Tree data from 15 m radius field-surveyed plots and samples of soil carbon down to a depth of 30 cm were used as reference data for tree biomass and soil carbon estimations. Results: Cross-validated plot level error (RMSE) for predicting soil organic carbon was 28% using only Landsat 8, 26% using laser only, and 23% for the combination of the two. The plot level error for above ground tree biomass was 66% when using only Landsat 8, 50% for laser and 49% for the combination of Landsat 8 and laser data. Results for below ground tree biomass were similar to above ground biomass. Additionally it was found that an early dry season satellite image was preferable for modelling biomass while images from later in the dry season were better for modelling soil carbon. Conclusion: The results show that laser data is superior to Landsat 8 when predicting both soil carbon and biomass above and below ground in landscapes dominated by Miombo woodlands. Furthermore, the combination of laser data and Landsat data were marginally better than using laser data only.