Integrated Assessment of Forest Cover Change and Above-Ground Carbon Stock in Pugu and Kazimzumbwi Forest Reserves, Tanzania


A study was conducted to estimate the forest cover change, quantify and map tree above-ground carbon stock using Remote sensing and GIS techniques together with forest inventory. Landsat images of 1980, 1995 and 2010 acquired during dry season were used in the estimation of cover changes. Supervised image classification using Maximum Likeli-hood Classifier was performed in ERDAS Imagine software to analyze the images and further analysis was performed in Arc GIS 9.3 software. Stratified sampling procedure was used to select concentric inventory plots in Pugu Forest Reserve (PFR) and Kazimzumbwi Forest Reserve (KFR). Plots were laid according to NAFORMA, and the tree parameters in each sampling plot were collected. A Microsoft Excel spreadsheet was used to compute the above-ground bio- mass for each plot using an empirical equation relating wood basic density and tree height. The above-ground carbon was calculated using a conversion factor of 0.49. Geostatistical method in ArcGIS was used to analyze and map carbon. Results revealed that for the periods 1980-1995 and 1995-2010, Closed Forest in PFR decreased by 4.5% and 25.3% respectively, while for KFR, Closed Forest decreased by 11.9% and 31.3% respectively. The mean carbon density for PFR and KFR were respectively 5.72 tC/ha and 0.98 tC/ha while carbon stocks were 14 730.41 tC and 7 206.46 tC re- spectively. The revealed low carbon densities were attributable to decline in area under Closed Forest in the two Forest Reserves. The study recommends concerted efforts to enhance proper management of the forests so that the two forest reserves may contribute to REDD initiatives.

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J. Kashaigili, M. Mdemu, A. Nduganda and B. Mbilinyi, "Integrated Assessment of Forest Cover Change and Above-Ground Carbon Stock in Pugu and Kazimzumbwi Forest Reserves, Tanzania," Advances in Remote Sensing, Vol. 2 No. 1, 2013, pp. 1-9. doi: 10.4236/ars.2013.21001.

Conflicts of Interest

The authors declare no conflicts of interest.


[1] T. Herzog, “World Greenhouse Gas Emissions in 2005,” WRI Working Paper, 2009.
[2] M. Grieg-Gran, “Is Tackling Deforestation a Cost-Effective Mitigation Approach?” 2006.
[3] R. A. Houghton, “Revised Estimates of the Annual Net Flux of Carbon to the Atmosphere from Changes in Land Use and Land Management,” Tellus, Vol. 55B, No. 2, 2003, pp. 378-390.
[4] N. Myers, R. A. Mittemeier, C. G. Mittemeier, J. Kent and A. B. Gustavo, “Biodiversity Hotspot for Conservation Priorities,” Nature, Vol. 403, No. 6722, 2000, pp. 853-858. doi:10.1038/35002501
[5] M. Hogqvist, S. Nummelin, M. Stahl and B. Miljoventenskap, “The View of Nature of Villagers in Kisarawe District,” The Department of Nature and Environment, Karlstad University, Karlstad, 1998.
[6] United Republic of Tanzania (URT), “National Bureau of Statistics,” Government Printers, Dar es Salaam, 2002.
[7] B. P. Mbilinyi, “Assessment of the Land Degradation and Its Consequences: Use of Remote Sensing and Geographical Information System Techniques. A Case Study in the Ismani Division, Iringa Region, Tanzania,” Ph.D. Thesis, Berlin Technical University, Berlin, 2000.
[8] J. J. Kashaigili and A. M. Majaliwa, “Integrated Assessment of Land Use and Cover Changes in the Malagarasi River Catchment in Tanzania,” Physics and Chemistry of the Earth, Vol. 35, No. 13-14, 2010, pp. 730-741. doi:10.1016/j.pce.2010.07.030
[9] A. Atesoglu and M. Tunay, “Spatial and Temporal Analysis of Forest Cover Changes in Bartin Region of NorthWest Turkey,” African Journal of Biotechnology, Vol. 9, No. 35, 2010, pp. 5676-5685.
[10] R. G. Congalton, “A Review of Assessing the Accuracy of Classifications of Remotely Sensed Data,” Remote Sensing Environment, Vol. 37, No. 1, 1991, pp. 35-46. doi:10.1016/0034-4257(91)90048-B
[11] M. Reusing, “Change Detection of Natural High Forests in Ethiopia Using Remote Sensing and GIS Techniques,” International Archives of Photogrammetry and Remote Sensing, Vol. XXXIII, Part B7, 2000, pp. 1253-1258.
[12] K. G. MackDicken, “A Guide to Monitoring Carbon Storage in Forest and Agroforestry Projects,” Winrock Internation Institute for Agricultural Development, Little Rock, 1997.
[13] National Forest Resources Monitoring and Assessment of Tanzania-NAFORMA, “Field Manual Biophysical Survey,” Forest and Beekeeping Division, Dar es Salaam, Tanzania, 2010.
[14] P. K. T. Munishi, “Principal of Forest Ecology. A Compendium-SUA,” 2005.
[15] E. Zahabu, “Sinks and Sources: A Strategy to Involve Forest Communities in Tanzania in Global Climate Policy,” Ph.D. Thesis, University of Twente, Enschede, 2008.
[16] P. K. T. Munishi and T. Shear, “Carbon Storage of Two Afromontane Rain Forests in the Eastern Arc Mountains of Tanzania,” Journal of Tropical Forest, Vol. 16, No. 1, 2004, pp. 78-93.
[17] E. F. Haule and F. C. Munyuku, “National Forest Inventory in Tanzania,” In: R. E. Malimbwi and E. J. Luoga, Eds., Proceedings of the workshop on Information Acquisition for Sustainable Natural Forest Resources of Eastern, Central and Southern Africa, Faculty of Forestry, SUA, Morogoro, 1994, pp. 99-113.
[18] S. Brown, “Measuring, Monitoring and Verification of Carbon Benefits for Forest Based Projects,” In: I. R. Swingland, Ed., Capturing Carbon and Conserving Biodiversity: The Market Approach, Earthscan Publications Ltd., London, 2003, pp. 118-133.
[19] H. K. Gibbs, S. Brown, J. O. Niles and J. A. Foley, “Monitoring and Estimating Tropical Forest Carbon Stocks: Making REDD a Reality,” Environmental Research Letter, Vol. 2, No. 4, 2007, p. 13.
[20] D. Huaqiang, Z. Guomo, F. Wenyi, G. Hongli, X. Xiaojun, S. Yongjun and F. Weiliang, “Spatial Heterogeneity and Carbon Contribution of Aboveground Biomass of Moso Bamboo by Using Geostatistical Theory,” Plant Ecology, Vol. 207, No. 1, 2010, pp. 131-139. sdoi:10.1007/s11258-009-9659-3
[21] S. O. Turan, A. I. Kodiogullari and A. Gunlu, “Spatial and Temporal Dynamics of Land Use Pattern Response to Urbanization in Kastamonu,” African Journal of Biotechnology, Vol. 9, No. 5, 2010, pp. 640-647.
[22] A. Ahrends, “Patterns of Degradation in Lowland Coastal Forests in Coast Region, Tanzania,” MSc Thesis, Greifswald University, Greifswald, 2005.
[23] I. O. E. Malugu, “Resources-Use Conflicts and Management Challenges for Pugu and Kazimzumbwi Forest Reserves in Kisarawe and Ilala Districts, Tanzania,” Discovery and Innovation, Vol. 19, No. 1-2, 2007, pp. 149-174. doi:10.4314/dai.v19i1-2.15781
[24] M. V. Mdemu, J. J. Kashaigili, J. Lupala, P. Levira, E. Liwenga, A. Nduganda and F. Mwakapuja, “Dyanamics of Land Use and Land Cover Changes in the Pugu and Kazimzumbwi Forest Reserve,” IULUCC Project, Ardhi University, Dar Es Salaam, 2012.
[25] FAO, “State of the World’s Forests,” Rome, 2011.
[26] F. L. Godoy, K. Tabor, N. D. Burgess, B. P. Mbilinyi, J. J. Kashaigili and M. K. Steininger, “Deforestation and CO2 Emissions in Coastal Tanzania from 1990 to 2007,” Environmental Conservation, Vol. 39, No. 1, 2011, pp. 62-71. doi:10.1017/S037689291100035X
[27] G. Julia, “Carbon Storage and Emissions Offset Potential in an African Dry Forest, the Arabuko-Sokoke Forest, Kenya,” Environmental Monitoring and Assessment, Vol. 142, No. 1-3, 2008, pp. 85-95.
[28] R. E. Malimbwi, B. Solberg and E. Luoga, “Estimation of Biomass and Volume in Miombo Woodland at Kitulangalo Forest Reserve,” Tanzania Journal of Tropical Forest Science, Vol. 7, No. 2, 1994, pp. 230-242.

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