Mangrove biomass estimation using canopy height and wood density in the South East and East Asian regions

Suwa, Rempei and Rollon, Rene and Sharma, Sahadev and Yoshikai, Masaya and Albano, Giannina Marie G. and Ono, Kenji and Adi, Novi Susetyo and Ati, Restu N. A. and Kusumaningtyas, Mariska A. and Kepel, Terry L. and Maliao, Ronald J. and Primavera-Tirol, Yasmin H. and Blanco, Ariel C. and Nadaoka, Kazuo (2021) Mangrove biomass estimation using canopy height and wood density in the South East and East Asian regions. Estuarine, Coastal and Shelf Science, 248. ISSN 02727714, DOI

Full text not available from this repository.


Mangroves aboveground biomass (ABG) estimation at a large scale is a crucial to understand their role in mitigating climate change. The large-scale estimation of AGB is generally conducted with remote sensing techniques using stand characteristics such as canopy height and species composition. In the present study, we employed Lorey's mean canopy height (Hm) and basal area weighted mean wood density (ρm) to develop models for estimating AGB of mangroves in Asian regions such as Indonesia, Philippines and Japan, considering its application toward large-scale AGB estimation covering different climatic zones of subtropical zone in the Eastern Asia and tropical zone in the Southeastern Asia. The best power function model for AGB estimation with Hm as a single explanatory variable was selected based on AIC ranks. The Hm – AGB relationship model varied significantly among study sites. We successfully developed common allometric model to estimate AGB for closed-canopy mangroves in the Asian regions. The common allometric model of the Hm – AGB relationship tended to show underestimation for old growth mangroves having AGB > ca. 400 Mg ha−1. The common allometric model showed a similar trend with a previously developed model for mangroves in Bangladesh. On the other hand, the common allometric model for mangroves showed distinct difference from the model for terrestrial tropical forests, i.e. the range of Hm was narrower in mangroves than in terrestrial tropical forests, and AGB was quite higher in mangroves than in terrestrial tropical forests at a same range of Hm. The difference of AGB specific to Hm was explained by higher ρm and cumulative basal area (BA) in mangroves than that in terrestrial tropical forests. In particular, mangrove showed quite high BA in a comparison with terrestrial tropical forests. This study confirmed that developing mangrove specific biomass model is important since mangroves showed its unique characteristics through comparisons with terrestrial tropical forests, and limitations of the use of Hm as a single variable. It should be noted that old growth mangrove AGB is underestimated with the developed common allometric models. For old growth mangroves, carbon stock should be fairly evaluated with more accurate models otherwise their contribution to blue carbon would be overlooked, which could lead insufficient efforts for conservation of old growth mangroves. Further accurate models for estimating mangrove AGB at large scale are urgently required. © 2020 Elsevier Ltd

Item Type: Article
Funders: Comprehensive Assessment and Conservation of Blue Carbon Ecosystems [Grant No.: 24002371], Integrated Assessment and Modelling of Blue Carbon Ecosystems for Conservation, Japan Society for the Promotion of Science, Japan Science and Technology Agency, Japan International Cooperation Agency, Science and Technology Research Partnership for Sustainable Development, Philippine Council for Industry, Energy, and Emerging Technology Research and Development
Uncontrolled Keywords: Blue carbon; Carbon stock estimation; CHM; Remote sensing; SRTM
Subjects: G Geography. Anthropology. Recreation > GE Environmental Sciences
Divisions: Deputy Vice Chancellor (Research & Innovation) Office > Institute of Ocean and Earth Sciences
Depositing User: Ms Zaharah Ramly
Date Deposited: 27 Nov 2023 08:28
Last Modified: 27 Nov 2023 08:28

Actions (login required)

View Item View Item