Quantifying and modelling the carbon sequestration capacity of seagrass meadows-a critical assessment

Macreadie,PI, Baird,ME, Trevathan-Tackett,SM, Larkum,AW and Ralph,PJ 2014, Quantifying and modelling the carbon sequestration capacity of seagrass meadows-a critical assessment, Marine pollution bulletin, vol. 83, no. 2, pp. 430-439, doi: 10.1016/j.marpolbul.2013.07.038.

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Title Quantifying and modelling the carbon sequestration capacity of seagrass meadows-a critical assessment
Author(s) Macreadie,PIORCID iD for Macreadie,PI orcid.org/0000-0001-7362-0882
Journal name Marine pollution bulletin
Volume number 83
Issue number 2
Start page 430
End page 439
Publisher Elsevier
Place of publication London, England
Publication date 2014-06-30
ISSN 1879-3363
Keyword(s) Blue carbon
Carbon sink
Summary Seagrasses are among the planet's most effective natural ecosystems for sequestering (capturing and storing) carbon (C); but if degraded, they could leak stored C into the atmosphere and accelerate global warming. Quantifying and modelling the C sequestration capacity is therefore critical for successfully managing seagrass ecosystems to maintain their substantial abatement potential. At present, there is no mechanism to support carbon financing linked to seagrass. For seagrasses to be recognised by the IPCC and the voluntary C market, standard stock assessment methodologies and inventories of seagrass C stocks are required. Developing accurate C budgets for seagrass meadows is indeed complex; we discuss these complexities, and, in addition, we review techniques and methodologies that will aid development of C budgets. We also consider a simple process-based data assimilation model for predicting how seagrasses will respond to future change, accompanied by a practical list of research priorities.
Language eng
DOI 10.1016/j.marpolbul.2013.07.038
Field of Research 060205 Marine and Estuarine Ecology (incl Marine Ichthyology)
Socio Economic Objective 960903 Coastal and Estuarine Water Management
HERDC Research category C1 Refereed article in a scholarly journal
ERA Research output type C Journal article
Copyright notice ©2014, Elsevier
Persistent URL http://hdl.handle.net/10536/DRO/DU:30072193

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