Above- and belowground tree biomass models for three mangrove species in Tanzania: a nonlinear mixed effects modelling approach
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Date
2015-10
Journal Title
Journal ISSN
Volume Title
Publisher
Springer
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.
Description
Keywords
Avicennia-Sonneratia-Rhizophora, Carbon, Fixed and random effects