Predicting marine phytoplankton community size structure from empirical relationships with remotely sensed variables
Abundance and species composition were determined for phytoplankton in 361 water samples collected at 12 sites: five transects from 488N to 508S in the Atlantic Ocean, the Benguela upwelling, the Bergen fjord, the Irminger Sea, Long Island Sound, the North Sea, the Norwegian Sea and the Oregon upwelling.
dataset
https://data.cefas.co.uk/view/2991
name: Cefas Data Portal
description: The Cefas Data Portal contains metadata records and data sets available to download and connect to in support of our commitment to open science. Data is available in the following formats: CSV, ESRI Shapefile. The data can also be accessed via the WFS and WMS protocols.
function: download
CEFAS2991
https://data.cefas.co.uk
eng
biota
revision
2011-03-25
revision
2011-03-25
publication
2008-06-01
publication
2008-06-01
revision
2010-05-18
publication
2012-01-11
publication
2012-01-11
1.73881
1.74086
52.4595
52.4581
2010
2010-12-31
publication
2014-02-27
revision
2023-02-01
creation
2013-11-21
notPlanned
The size composition of primary producers has a potential influence on the length of marine food chains and carbon sinking rates, thus on the proportion of primary production (PP) that is removed from the upper layers and available to higher trophic levels. While total rates of PP are widely reported, it is also necessary to account for the size composition of primary producers when developing food web models that predict consumer biomass and production. Empirical measurement of size composition over large space and time scales is not feasible, so one approach is to predict size composition from environmental variables that are measured and reported on relevant scales. Here, we describe relationships between the environment and the size composition of phytoplankton communities, using a collation of empirical measurements of size composition from sites that include polar, tropical and upwelling environments. The size composition of the phytoplankton communities can be predicted using two remotely sensed variables, chlorophyll-a concentration and sea surface temperature. Applying such relationships in combination allows prediction of the slope and location of phytoplankton size spectra and estimation of the percentage of different sized phytoplankton groups in communities.Subsamples (100 mL) were settled [Utermӧhl technique (Lund et al., 1958)] and individuals counted at the species level with an inverted microscope. Heterotrophic species were excluded from the analysis. Picoplankton was measured using flow cytometry.
publication
2013-12-10
false
See the referenced specification
publication
2010-12-08
true
See the referenced specification
Unknown
Centre for Environment, Fisheries and Aquaculture Science, Lowestoft Laboratory (CEFAS)
Cefas Lowestoft Laboratory
Pakefield Road
Lowestoft
NR33 0HT
UK
originator
Centre for Environment, Fisheries and Aquaculture Science, Lowestoft Laboratory (CEFAS)
Cefas Lowestoft Laboratory
Pakefield Road
Lowestoft
NR33 0HT
UK
custodian
Centre for Environment, Fisheries and Aquaculture Science, Lowestoft Laboratory (CEFAS)
Cefas Lowestoft Laboratory
Pakefield Road
Lowestoft
NR33 0HT
UK
distributor
Department for Environment, Food and Rural Affairs (DEFRA)
owner
Centre for Environment, Fisheries and Aquaculture Science, Lowestoft Laboratory (CEFAS)
Cefas Lowestoft Laboratory
Pakefield Road
Lowestoft
NR33 0HT
UK
pointOfContact
2023-02-01T01:56:57