Volume and aboveground biomass models for a dry evergreen montane forest in Tanzania

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DOI https://doi.org/10.13057/asianjfor/r070106
Issue
Vol. 7 No. 1 (2023)
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Articles

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MPONIE LEISON MWALUSEKE
Department of Ecosystems and Conservation, College of Forestry, Wildlife and Tourism, Sokoine University of Agriculture. P.O. Box 3010, Chuo Kikuu, Morogoro, Tanzania
EZEKIEL EDWARD MWAKALUKWA ♥
Department of Ecosystems and Conservation, College of Forestry, Wildlife and Tourism, Sokoine University of Agriculture. P.O. Box 3010, Chuo Kikuu, Morogoro, Tanzania
SALIM MOHAMMED SALIM MALIONDO
Department of Ecosystems and Conservation, College of Forestry, Wildlife and Tourism, Sokoine University of Agriculture. P.O. Box 3010, Chuo Kikuu, Morogoro, Tanzania

Abstract

Abstract. Mwaluseke ML, Mwakalukwa EE, Maliondo SMS. 2023. Volume and aboveground biomass models for a dry evergreen montane forest in Tanzania. Asian J For 7: 45-53. Models available for accurately estimating trees and shrubs' volume and aboveground biomass from dry evergreen montane forests in Tanzania are largely lacking. Therefore, this study was conducted to develop volume, and aboveground biomass models for a dry evergreen montane forest of Lendikinya Forest Reserve found in Northern Tanzania. A total of thirty sample trees and shrubs with a diameter range of 5-58.5 cm were destructively harvested and used in this study. Specifically, the study developed (i) the height-diameter model and (ii) the total volume and aboveground biomass models. The following height, volume, and biomass models appear to be suitable for estimating tree height, volume, and biomass of tree and shrub species found in the study site: Height (m) =2.3249 + 6.6101/DBH + 0.2847DBH (R2 = 0.78, RMSE = 1.79, AIC = 164.37), ln(Volume, m3) = -9.845 + 1.915 ln(DBH) + 1.089ln(Ht) (R2 = 0.97, RMSE = 0.296, AIC = -144.18) and ln(Biomass, kg) = -1.666 + 0.853ln(WD x DBH2 x Ht) (R2 = 0.95, RMSE = 0.324, AIC = 224.13). Both models yielded low bias, hence indicating an excellent fit. These models will be useful in understanding the condition of the forest and the potential of this forest in storing carbon hence, the possibility of benefiting from the ongoing negotiations of REDD+ schemes for payment for avoided deforestation and degradation through sustainable management of the reserve.

2017-01-01

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References
Asrat Z, Eid T, Gobakken T, Negash M. 2020. Aboveground tree biomass prediction options for the dry afromontane forests in South-Central Ethiopia. For Ecol Manag 473: 118335. DOI: org/10.1016/j.foreco.2020.118335.
Baskerville G. 1972. Use of logarithmic regression in the estimation of plant biomass. Can J For Res 2: 49-53. DOI: 10.1139/x72-009.
Brown S, Gillespie AJR, Lugo AE. 1989. Biomass estimation methods for tropical forests with applications to forest inventory data. For Sci 35: 881-902.
Brown S. 2002. Measuring, monitoring, and verification of carbon benefits for forest-based projects. Philos Trans Royal Soc 360 (1797): 1669-1683. DOI: 10.1098/rsta.2002.1026.
Chaturvedi RK, Raghubanshi AS. 2012. Aboveground biomass estimation of small diameter woody species of tropical dry forest. New For 44: 509-519. DOI: 10.1007/s11056-012-9359-z.
Chave J, Andalo C, Brown S et al. 2005. Tree allometry and improved estimation of carbon stocks and balance in tropical forests. Oecologia 145 (1): 87-99. DOI: 10.1007/s00442-005-0100-x.
Chave J, Réjou-Méchain M, Búrquez A, Chidumayo E et al. 2014. Improved allometric models to estimate the aboveground biomass of tropical trees. Glob Chang Biol 20: 3177-3190. DOI: org/10.1111/gcb.12629.
Daba DE, Soromessa T. 2019. The accuracy of species-specific allometric equations for estimating aboveground biomass in tropical moist montane forests: Case study of Albizia grandibracteata and Trichilia dregeana. Carbon Balance Manag 14 (1): 18. DOI: 10.1186/s13021-019-0134-8. DOI: org/10.1186/s13021-019-0134-8.
Djomo AN, Picard N, Fayolle A, Henry M, Ngomanda A, Ploton P, McLellan J, Saborowski J, Adamou I, Lejeune P. 2016. Tree allometry for estimation of carbon stocks in african tropical forests. For: Intl J For Res 89: 446-455. DOI: 10.1093/forestry/cpw025.
FAO 2012. Manual for Building Tree Volume and biomass Allometric Equations from Field Measurement to Prediction. Springer, Rome, Italy.
FAO 2014. Emerging Approaches to Forest Reference Emission Levels and/ or Forest Reference Levels for REDD+. The UNREDD Programme 2014. http://www.unred d.net/index .phpop tion=com_docma n&task=doc_ downl oad&gid=13469 &Itemi d=53. Accessed 29 November 2022.
Feyisa K, Beyene S, Megersa B, Said MY, Jan dL, Angassa A. 2018. Allometric equations for predicting above-ground biomass of selected woody species to estimate carbon in East African Rangelands. Agrofor Syst 92: 599-621. DOI: org/10.1007/s10457-016-9997-9.
Henry M, Besnard A, Asante WA, Eshun J, Adu-Bredu S, Valentini R, Bernoux M, Saint-André L. 2010. Wood density, phytomass variations within and among trees, and allometric equations in a tropical rain forets to Africa. For Ecol Manag 260 (8): 1375-1388. DOI: 10.1016/j.foreco.2010.07.040.
Henry M, Picard N, Trotta C, Manlay RJ, Valentini R, Bernoux M, Saint-André L. 2011. Estimating tree biomass of Sub-Saharan African forests: A review of available allometric equations. Silva Fenn 45 (3): 477-569. DOI: 10.14214/sf.38.
Leley NC, Langat DK, Kisiwa AK, Maina GM, Muga MO. 2022. Total carbon stock and potential caerbon sequestration economic value of mukogodo forest landscape ecosystem in drylands of Northern Kenya. Open J For 12: 19-40. DOI: org/10.4236/ojf.2022.121002.
Lorenz K, Lal R. 2010. Carbon Sequestration in Forest Ecosystems. Springer, Dordrecht, Heidelberg, London, New York. DOI: 10.1007/978-90-481-3266-9.
Makero JS, Malimbwi RE, Eid T et al. 2016. Allometric biomass and volume models for Itigi thicket. In: Malimbwi RE, Eid T, Chamshama SAO (eds). Allometric Tree Biomass and Volume Models in Tanzania. Department of Forest Mensuration and Management, Sokoine University of Agriculture, Tanzania.
Malimbwi RE, Eid T, Chamshama SAO. 2016. Allometric tree Biomass and Volume Models in Tanzania. Department of Forest Mensuration and Management, Sokoine University of Agriculture, Tanzania.
Malimbwi RE, Solberg B, Luoga E. 1994. Estimation of biomass and volume in miombo woodland at Kitulangalo Forest Reserve, Tanzania. J Trop For Sci 7 (2): 230-242.
Mandal RA, Yadav BKV, Yadav KK et al. 2013. Development of allometric equation for biomass estimation of Eucalyptus camadulensis: A study from Sagarnath Forest, Nepal. Intl J Biodivers Sci Ecosyst 1 (1): 1-7.
Manyanda BJ, Mugasha WA, Nzunda EF, Malimbwi RE. 2019. Biomass and volumes models based on stump diameter for assessing forest degradation in Miombo woodlands in Tanzania. Intl J For Res 2019 (38): 1-15. DOI: 10.1155/2019/1876329.
Marshall AR, Willcock S, Platts PJ et al. 2012. Measuring and modelling aboveground carbon and tree allometry along a tropical elevation gradient. J Biol Conserv 154: 20-33. DOI: org/10.1016/j.biocon.2012.03.017.
Masota AM, Zahabu E, Malimbwi RE et al. 2014. Volume models for single trees in tropical rainforest in Tanzania. JERL 3: 66-76. DOI: 10.11648/j.jenr.20140305.12.
Masota AM, Zahabu E, Malimbwi RE et al. 2015. Allometric models for estimating above- and belowground biomass of individual trees in Tanzanian tropical rainforests. XIV World Forestry Congress, Durban, South Africa.
Mauya EW, Massawe BH, Madundo S, Shirima D, Zahabu E. 2022. Soil organic carbon and emission factors for different land cover classes in Tanzania. Tanz J Forest Nature Conserv 91 (2): 94-105.
Mauya EW, Mugasha WA, Njana MA, Zahabu E, Malimbwi R. 2019. Carbon stocks for different land cover types in Mainland Tanzania. Carbon Balance Manag 14 (4): 1-12. DOI: 10.1186/s13021-019-0120-1.
Mauya EW, Mugasha WA, Zahabu E et al. 2014. Models for estimation of tree volume in the miombo woodlands of Tanzania. South For 76 (4): 1-11. DOI: 10.2989/20702620.2014.957594.
Meindertsma JD, Kessler JJ. 1997. Planning for a Better Environment in Monduli District. Department of Environment, Netherlands, Rotterdam.
MNRT. 2015. National Forest Resources Monitoring and Assessment of Tanzania Mainland (NAFORMA). Main Results. Tanzania.
Mokria M, Mekuria W, Gebrekirstos A, Aynekulu E et al. 2018. Mixed-species allometric equations and estimation of aboveground biomass and carbon stocks in restoring degraded landscape in Northern Ethiopia. Environ Res Lett 13: 024022. DOI: 10.1088/1748-9326/aaa495.
Mugasha AW, Zahabu E, Maguta MP et al. 2016c. Allometric biomass models for Pinus patula plantations. In: Malimbwi RE, Eid T, Chamshama SAO (eds). Allometric Tree Biomass and Volume Models in Tanzania. Department of Forest Mensuration and Management, Sokoine University of Agriculture, Tanzania.
Mugasha AW, Zahabu E, Mathias A et al. 2016b. Allometric biomass and volume models for Acacia-Commiphora woodlands. In: Malimbwi RE, Eid T, Chamshama SAO (eds). Allometric Tree Biomass and Volume Models in Tanzania. Department of Forest Mensuration and Management, Sokoine University of Agriculture, Tanzania.
Mugasha WA, Eid T, Bollandsas OM et al. 2013. Allometric models for prediction of above- and below ground biomass of trees in the miombo woodlands of Tanzania. For Ecol Manag 310: 87-101. DOI: 10.1016/j.foreco.2013.08.003.
Mugasha WA, Mwakalukwa EE, Luoga E et al. 2016a. Allometric models for estimating tree volume and aboveground biomass in lowland forests of Tanzania. Intl J For Res 2016 (4): 1-13. DOI: 10.1155/2016/8076271.
Mwakalukwa EE, Meilby H, Treue T. 2014. Volume and aboveground biomass models for Dry Miombo Woodland in Tanzania. Intl J For Res 2014 (3): 1-11. DOI: 10.1155/2014/531256.
Ngomanda A, Obiang NLE, Lebamba J, Mavouroulou QM, Gomat H, Mankou GS, Picard N et al. 2014. Site-specific versus pantropical allometric equations: Which Option to estimate the biomass of a moist Central African Forest? For Ecol Manag 312: 1-9. DOI: 10.1016/j.foreco.2013.10.029.
Njana MA, Bollandsås OM, Eid T et al. 2016. Above-and belowground tree biomass models for three mangrove species in Tanzania: A non-linear mixed effects modelling approach. Ann For Sci 73 (2): 353-369. DOI: 10.1007/s13595-015-0524-3.
Njana MA, Meilby H, Eid T, Zahabu E. 2016. Importance of tree basic density in biomass estimation and associated uncertainties: A case of three mangrove species in Tanzania. Ann For Sci 73: 1073-1087. DOI: 10.1007/s13595-016-0583-0.
Njana MA, Zahabu E, Malimbwi RE. 2018. Carbon stocks and productivity of mangrove forests in Tanzania. South For 80 (3): 217-232. DOI: 10.2989/20702620.2017.1334314.
Njana MA. 2017. Indirect methods of tree biomass estimation and their uncertainties. South For 79: 41-49. DOI: 10.2989/20702620.2016.1233753.
Nugroho Y, Suyanto, Makinudin D, Aditia S, Yulimasita DD, Afandi AY, Harahap MM, Matatula J, Wirabuana PYAP. 2022. Vegetation diversity, structure and composition of three forest ecosystems in Angsana coastal area, South Kalimantan, Indonesia. Biodiversitas 23: 2640-2647. DOI: 10.13057/biodiv/d230547.
Osman EMH, Idris EZA, Ibrahim EMM. 2013. Height-Diameter prediction models for some utilitarian natural tree species. J For Prod Ind 2 (2): 31-39.
Parresol BR. 1999. Assessing tree and stand biomass: A review with examples and critical comparisons. J For Sci 13: 573-593.
Teshome M, Torres CMME, Sileshi GW, de Mattos PP et al. 2022. Mixed-Species allometric equations to quantify stem volume and tree biomass in Dry Afromontane Forest of Ethiopia. Open J For 12: 263-296. DOI: 10.4236/ojf.2022.123015.
Tetemke BA, Birhane E, Rannestad MM, Eid T. 2019. Allometric models for predicting aboveground biomass of trees in the Dry Afromontane Forests of Northern Ethiopia. Forests 10: 1114. DOI: org/10.3390/f10121114.
UNDP 2003. United Nations Development Programme. Project Implementation Report on East African Cross Borders Biodiversity Project. Tanzania Component, Monduli Site.
Zahabu E, Mugasha WA, Katani JZ et al. 2016. Allometric biomass and volume models for Tectona grandis plantations. In: Malimbwi RE, Eid T, Chamshama SAO (eds). Allometric Tree Biomass and Volume Models in Tanzania. Department of Forest Mensuration and Management, Sokoine University of Agriculture, Tanzania.