Abstract
Seagrass carbon sequestration is known to be an accumulative process of both autochthonous and allochthonous carbon sequestration, however, carbon accreditation focuses on increasing autochthonous organic carbon only. In seagrass carbon accreditation methodologies peer-reviewed published data may be utilised as evidence for the deduction of a percentage of allochthonous carbon from the total seagrass sediment organic carbon. These literature-based proxies are often derived from stable isotope mixing models, which utilise seagrass and sediment δ13C values. This study looks at global seagrass sediment and leaf δ13C analyses, and demonstrates that climatic bioregion, geomorphology and seagrass morphological traits explain global patterns in seagrass leaf and sedi
ment isotope δ13C ratios. Multi-factor analysis of mixed data shows a separation between seagrass bioregions and different leaf-size populations, specifically; north temperate regions from tropical and south temperate regions; medium leaf-size individuals to all others. Analysis of variance confirmed a significant difference (p <0.001) in the Δδ13Cseagrass-sediment between bioregions and species sizes classifications. KMeans clustering of the seagrass and sediment δ13C and sediment depth data suggests that three main clusters can be identified (1) small deltas, (2) tidal systems coastlines, (3) an aggregation of lagoons, arheic and fjords coastlines. If proxies are used for blue carbon accreditation, this paper presents an informed criterion to improve the selection of allochthonous sediment organic carbon proxies based on their derivative sediment and seagrass δ13C values. However, proxy values from the literature are not a direct substitute for site specific δ13C seagrass leaf and sediment data, and their use in context dependent mixing models.
ment isotope δ13C ratios. Multi-factor analysis of mixed data shows a separation between seagrass bioregions and different leaf-size populations, specifically; north temperate regions from tropical and south temperate regions; medium leaf-size individuals to all others. Analysis of variance confirmed a significant difference (p <0.001) in the Δδ13Cseagrass-sediment between bioregions and species sizes classifications. KMeans clustering of the seagrass and sediment δ13C and sediment depth data suggests that three main clusters can be identified (1) small deltas, (2) tidal systems coastlines, (3) an aggregation of lagoons, arheic and fjords coastlines. If proxies are used for blue carbon accreditation, this paper presents an informed criterion to improve the selection of allochthonous sediment organic carbon proxies based on their derivative sediment and seagrass δ13C values. However, proxy values from the literature are not a direct substitute for site specific δ13C seagrass leaf and sediment data, and their use in context dependent mixing models.
Original language | English |
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Journal | Ecological Indicators |
Publication status | Accepted for publication - 23 Aug 2024 |
Keywords
- Blue carbon
- seagrass
- carbon provenance
- Isotope fractionation
- carbon accounting