Above- and belowground tree biomass models for three mangrove species in Tanzania: a nonlinear mixed effects modelling approach

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dc.contributor.authorNjana, Marco Andrew
dc.contributor.authorBollandsås, Ole Martin
dc.contributor.authorEid, Tron
dc.contributor.authorMalimbwi, Rogers Ernest
dc.contributor.authorZahabu, Eliakimu
dc.date.accessioned2022-05-07T11:32:16Z
dc.date.available2022-05-07T11:32:16Z
dc.date.issued2015-10
dc.description.abstract& Key message Tested on data from Tanzania, both existing species-specific and common biomass models developed elsewhere revealed statistically significant large prediction errors. Species-specific and common above- and below- ground biomass models for three mangrove species were therefore developed. The species-specific models fitted bet- ter to data than the common models. The former models are recommended for accurate estimation of biomass stored in mangrove forests of Tanzania. & Context Mangroves are essential for climate change mitiga- tion through carbon storage and sequestration. Biomass models are important tools for quantifying biomass and car- bon stock. While numerous aboveground biomass models exist, very few studies have focused on belowground biomass, and among these, mangroves of Africa are hardly or not represented.en_US
dc.identifier.urihttps://www.suaire.sua.ac.tz/handle/123456789/4092
dc.language.isoenen_US
dc.publisherSpringeren_US
dc.subjectAvicennia-Sonneratia-Rhizophoraen_US
dc.subjectCarbonen_US
dc.subjectFixed and random effectsen_US
dc.titleAbove- and belowground tree biomass models for three mangrove species in Tanzania: a nonlinear mixed effects modelling approachen_US
dc.typeArticleen_US
dc.url10.1007/s13595-015-0524-3en_US

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