Skip to main content

IMIS

A new integrated search interface will become available in the next phase of marineinfo.org.
For the time being, please use IMIS to search available data

 

[ report an error in this record ]basket (1): add | show Print this page

one publication added to basket [10321]
Estimating spatial and seasonal phytoplankton δ13C variations in an estuarine mangrove ecosystem
Bouillon, S.; Dehairs, F.A. (2000). Estimating spatial and seasonal phytoplankton δ13C variations in an estuarine mangrove ecosystem. Isot. Environ. Healt. S. 36(3): 273-284
In: Isotopes in Environmental and Health Studies. Taylor & Francis: Basel. ISSN 1025-6016; e-ISSN 1477-2639, more
Peer reviewed article  

Available in  Authors 

Keywords
    Analysis > Mathematical analysis > Statistical analysis > Variance analysis
    Aquatic communities > Plankton > Phytoplankton
    Isotopes > Carbon isotopes > Carbon 13
    Mangroves
    Marine/Coastal

Authors  Top 

Abstract
    In estuarine ecosystems, large spatial and seasonal variations in δ13C values of primary producers can occur, and knowledge of these variations may be crucial when interpreting stable isotope data of higher trophic levels. Obtaining clean phytoplankton samples for isotope analysis is usually impossible in such systems, and analysis of total suspended matter is not a simple proxy for phytoplankton δ13C variations. Based on a few simple assumptions regarding the C and N content of the two end-members (terrestrial detritus and phytoplankton) and the δ13C of the terrestrial component, we here present a simple model to estimate the phytoplankton δ13C variations using an existing dataset on the δ13C and elemental (C:N) composition of suspended organic matter from an estuarine mangrove ecosystem in southeast India. These variations are related to the monthly rainfall pattern during the sampling period. It is stressed that this method estimates approximate phytoplankton δ13C values, which should not be used in e.g., mixing models. However, we propose that in cases where sufficiently large datasets are available, the described procedure could provide a valuable method to semi-quantitatively estimate the seasonal or spatial variations of the phytoplankton δ13C signal.

All data in the Integrated Marine Information System (IMIS) is subject to the VLIZ privacy policy Top | Authors