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Journal ArticleDOI

Procedures for quantification of belowground biomass of three mangrove tree species

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TLDR
In this article, the root sampling procedure applied for A. marina and S. alba trees was used for quantification of tree BGB for Avicennia marina (Forssk), Sonneratia alba J. Smith and Rhizophora mucronata Lam.
Abstract
A review of studies on belowground biomass (BGB) of mangroves revealed that procedures for excavation and determination of dry weight are insufficiently documented. The main objective of this study was therefore to describe procedures for quantification of tree BGB for Avicennia marina (Forssk.), Sonneratia alba J. Smith and Rhizophora mucronata Lam. The study covered four sites in Tanzania where 30 trees were sampled (10 for each species). A new root sampling procedure applied for A. marina and S. alba seemed to work adequately. Dry to fresh weight ratios (DF-ratios) varied between tree species, between tree sizes and between root components. Therefore, for each tree species, tree- and root component-specific DF-ratios were applied for dry weight determination. For A. marina and S. alba trees, a significant proportion of total tree BGB is stored in the root crown (34 and 10 % respectively). Future studies should therefore ensure inclusion of root crown when accounting for total tree BGB. Tests of previously developed models on our data revealed large prediction errors, partly due to differences in site conditions and partly due to incomprehensive excavation procedures applied when these models were developed. Local tree BGB models for mangroves should therefore be developed.

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Journal ArticleDOI

Mangrove root biomass and the uncertainty of belowground carbon estimations

TL;DR: In this article, the root biomass of mangrove roots is estimated using allometric equations and not from direct field measurements, and the results showed that sampling methodology has a significant effect on root biomass estimations.
Journal ArticleDOI

Estimating mangrove aboveground biomass from airborne LiDAR data: a case study from the Zambezi River delta

TL;DR: In this article, the authors evaluated the variability in field and Lidar-based estimates of aboveground biomass (AGB) through the combination of different local and regional allometric models and standardized height metrics that are comparable across spatial resolutions and sensor types.
Journal ArticleDOI

Above- and Belowground Biomass Models for Trees in the Miombo Woodlands of Malawi

TL;DR: Modelling of above- and belowground biomass models for trees in the miombo woodlands of Malawi indicated that the models can be used over a wide range of geographical and ecological conditions in Malawi.
Journal ArticleDOI

Structural characterisation of mangrove forests achieved through combining multiple sources of remote sensing data

TL;DR: In this article, the authors focused on the Matang Mangrove Forest Reserve (MMFR) in Perak Province, Peninsular Malaysia, and retrieved comprehensive information on the biophysical properties of mangroves from spaceborne optical and Synthetic Aperture Radar (SAR) to support better understanding of their dynamics in a managed setting.
Journal ArticleDOI

The global distribution and environmental drivers of aboveground versus belowground plant biomass.

TL;DR: In this article, a database of root-mass fractions (RMFs), an index of plant below- versus above-ground biomass distributions, was created and the authors generated quantitative, spatially explicit global maps of RMFs in trees, shrubs and grasses.
References
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Journal Article

R: A language and environment for statistical computing.

R Core Team
- 01 Jan 2014 - 
TL;DR: Copyright (©) 1999–2012 R Foundation for Statistical Computing; permission is granted to make and distribute verbatim copies of this manual provided the copyright notice and permission notice are preserved on all copies.
Book

The R Book

TL;DR: The R Book is the first comprehensive reference manual for the R language, including practical guidance and full coverage of the graphics facilities, and introduces the advantages of the R environment, detailing its applications in a wide range of disciplines.

The R book

TL;DR: The R Book is the first comprehensive reference manual for the R language, including practical guidance and full coverage of the graphics facilities, and introduces the advantages of the R environment, detailing its applications in a wide range of disciplines.
Book ChapterDOI

Intergovernmental Panel on Climate Change (IPCC)

TL;DR: The Intergovernmental Panel on Climate Change (IPCC) as mentioned in this paper has become a key framework for the exchange of scientific dialogue on climate change within the scientific community as well as across the science and policy arenas.
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