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dc.contributor.authorMukuralinda, A.
dc.contributor.authorKuyah, S.
dc.contributor.authorRuzibiza, M.
dc.contributor.authorNdoli, A.
dc.contributor.authorNabahungu, N.L.
dc.contributor.authorMuthuri, C.
dc.date.accessioned2021-03-04T13:02:57Z
dc.date.available2021-03-04T13:02:57Z
dc.date.issued2021
dc.identifier.citationMukuralinda, A., Kuyah, S., Ruzibiza, M., Ndoli, A., Nabahungu, N.L. & Muthuri, C. (2021). Allometric equations, wood density and partitioning of aboveground biomass in the arboretum of Ruhande, Rwanda. Trees, Forests and People, 3, 100050: 1-8.
dc.identifier.issn2666-7193
dc.identifier.urihttps://hdl.handle.net/20.500.12478/7067
dc.description.abstractThere is growing interest in plantation forests throughout Africa because of their role in environment, economy and people's livelihoods. However, the contribution of planted forests to climate mitigation is poorly understood, partly due to lack of allometric equations for biomass estimation. This study aimed to determine wood density and biomass fractions in aboveground components, and to develop biomass estimation equations for multispecies plantation forests in the arboretum of Ruhande in Rwanda. Allometric equations were developed by regressing diameter at breast height (DBH) alone or in combination with height or wood density or age of trees against the biomass of 45 trees harvested from a 200-ha site. Biomass estimates obtained from destructively sampled trees were up-scaled to estimate the amount of carbon stocked in the arboretum of Ruhande, assuming a stem density of 250 stems per ha. Wood density varied among the species but not tree size. The greatest fraction of aboveground biomass was allocated to stems (71–77%) compared to branches (19–27%) and leaves (1–8%) and varied by species. Equations developed fit the data well with DBH explaining over 90% of the observed variation in aboveground and stem biomass. Including height or wood density as supporting parameters reduced the relative error for aboveground biomass by 6.4 and 8.0% and improved model fit by 2.1 and 2.9%, respectively. Akaike information criterion (AIC) showed that wood density (AIC=63.6) and height (AIC=48.2) were the most suitable parameters to support DBH as a proxy for aboveground and stem biomass, respectively. Allometric equations developed in this study are useful tool for estimating carbon stocks of plantation forests in Rwanda and can enhance the accuracy of biomass predictions where site-specific equations rather than generalized models are recommended. Further studies focusing on development of allometric equations on belowground biomass in such systems are recommended.
dc.format.extent1-8
dc.language.isoen
dc.subjectBiomass
dc.subjectCarbon
dc.subjectClimate Change
dc.subjectForest Plantations
dc.subjectLivelihoods
dc.subjectRwanda
dc.subjectWood Density
dc.titleAllometric equations, wood density and partitioning of aboveground biomass in the arboretum of Ruhande, Rwanda
dc.typeJournal Article
cg.contributor.crpRoots, Tubers and Bananas
cg.contributor.affiliationWorld Agroforestry Centre
cg.contributor.affiliationJomo Kenyatta University of Agriculture and Technology
cg.contributor.affiliationUniversity of Rwanda
cg.contributor.affiliationInternational Union for Conservation of Nature, Rwanda
cg.contributor.affiliationInternational Institute of Tropical Agriculture
cg.coverage.regionAfrica
cg.coverage.regionCentral Africa
cg.coverage.countryRwanda
cg.coverage.hubCentral Africa Hub
cg.researchthemeNatural Resource Management
cg.identifier.bibtexciteidMUKURALINDA:2021
cg.authorship.typesCGIAR and developing country institute
cg.iitasubjectClimate Change
cg.iitasubjectForestry
cg.iitasubjectLivelihoods
cg.iitasubjectNatural Resource Management
cg.journalTrees, Forests and People
cg.notesOpen Access Journal; Published online: 10 Nov 2020
cg.accessibilitystatusOpen Access
cg.reviewstatusPeer Review
cg.usagerightslicenseCreative Commons Attribution 4.0 (CC BY 0.0)
cg.targetaudienceScientists
cg.identifier.doihttps://dx.doi.org/10.1016/j.tfp.2020.100050
cg.iitaauthor.identifierNsharwasi Nabahungu: 0000-0002-2104-3777
cg.futureupdate.requiredNo


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