Ray, R., Baum, Antje, Rixen, Tim, Gleixner, G. and Jana, T.K. (2018) Exportation of dissolved (inorganic and organic) and particulate carbon from mangroves and its implication to the carbon budget in the Indian Sundarbans. Science of The Total Environment, 621 . pp. 535-547. DOI https://doi.org/10.1016/j.scitotenv.2017.11.225.

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Abstract

Mangroves are known for exchanging organic and inorganic carbon with estuaries and oceans but studies that have estimated their contribution to the global budget are limited to a few mangrove ecosystems which exclude world's largest the Sundarbans. Here, we worked in the Indian Sundarbans and in the Hooghly river/estuary in May (pre-monsoon) and December (post-monsoon), 2014. Aims were, i) to quantify the riverine export of particulate organic carbon (POC) and dissolved organic and inorganic carbon (DOC, DIC)) of the Hooghly into the Bay of Bengal (BoB), ii) to estimate the C export (DOC, DIC, POC) from the Sundarbans into the BoB by using a simple mixing model, as well as iii) to revise the existing C budget constructed for the mangroves. The riverine exports of POC, DOC and DIC account for 0.07 Tg C yr− 1, 0.34 Tg C yr− 1 and 4.14 Tg C yr− 1, respectively, and were largest during the monsoon period. Results revealed that mangrove plant derived organic matter and its subsequent degradation is the primary source of DIC and DOC in the Hooghly estuary whereas POC is linked to soil erosion. Mangroves are identified as a major source of carbon (POC, DOC, DIC) transported from the Sundarbans into the BoB, with export rates of 0.58 Tg C yr− 1, 3.03 Tg C yr− 1, and 3.69 Tg C yr− 1 respectively, altogether amounting to 7.3 Tg C yr− 1. This C export from the Indian Sundarbans exceeds the ‘missing C’ of the previous budget, thus necessitating further research to finally resolve the mangrove C budget. However, these first baseline data on C exports from the world's largest deltaic mangrove improves limited global data inventory and signifies the need of acquiring more data from different mangrove settings to reduce uncertainties.

Document Type:	Article
Programme Area:	UNSPECIFIED
Research affiliation:	Biogeochemistry and Geology > Carbon and Nutrient Cycling
Refereed:	Yes
Open Access Journal?:	No
DOI:	https://doi.org/10.1016/j.scitotenv.2017.11.225
ISSN:	00489697
Date Deposited:	12 Jun 2019 11:04
Last Modified:	01 Oct 2020 12:58
URI:	http://cris.leibniz-zmt.de/id/eprint/2049

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