Allometric models for estimating above- and below- ground tree carbon for community managed miombo woodlands

A case of Miyobe village forest area in northern Malawi

Bibliographic Data

ID19587208
AuthorsMemory Malakini (Lilongwe University of Agriculture and Natural Resources), Steve Makungwa (Lilongwe University of Agriculture and Natural Resources), Weston Mwase (Lilongwe University of Agriculture and Natural Resources), Assa M Maganga (Lilongwe University of Agriculture and Natural Resources, corresponding author)
Year2020
Volume2
Pages100024
Publication date2020-12-01
Open AccessYes
TypeARTICLE
VenueTrees Forests and People (JOURNAL)
Journal identifiersISSN: 2666-7193 • E-ISSN: 2666-7193
PublisherElsevier BV (PUBLISHER)
DOI10.1016/j.tfp.2020.100024
OpenAlexW3081120709
LanguageEN
Citations received1
References cited20

In Southern Africa there are no local allometric models that can precisely and accurately estimate tree carbon stocks in community managed forests. This study developed the local allometric models for estimating tree carbon stocks in community managed forests and tested predictive performance of existing models when applied on community managed forests. While the developed allometric models are robust in tree carbon estimation, the existing allometric models underestimated the tree carbon stocks in community managed forest. As such, it is recommended that estimation of tree carbon from community managed Miombo woodlands employ locally developed models in order to improve accuracy of forest carbon estimation to protect community members against revenue loss when engaging in carbon trade

Agroforestry · Allometry · Biology · Carbon sequestration · Carbon stock · Climate change · Estimation · Geography · Tree Allometry · Woodland · Environmental Science · Forest ecology and management · Mathematics · Plant Water Relations and Carbon Dynamics · Remote Sensing and LiDAR Applications · Ecology · Forestry

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Open DOIOpen Access