A locally tuned Cphyto algorithm for the Ross Sea, Antarctica

To improve current estimates of phytoplankton specific carbon in the Ross Sea, we calculated a regionally specific algorithm from in situ particulate organic carbon (POC) concentrations and backscatter sensor data. These data come from three independent Seaglider deployments during the austral summe...

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Main Authors: Meyer, Meredith Grace, Jr., Walker O. Smith
Format: Other/Unknown Material
Language:unknown
Published: Authorea, Inc. 2023
Subjects:
Online Access:http://dx.doi.org/10.22541/essoar.170294036.64500374/v1
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spelling crwinnower:10.22541/essoar.170294036.64500374/v1 2024-06-02T07:57:10+00:00 A locally tuned Cphyto algorithm for the Ross Sea, Antarctica Meyer, Meredith Grace Jr., Walker O. Smith, 2023 http://dx.doi.org/10.22541/essoar.170294036.64500374/v1 unknown Authorea, Inc. posted-content 2023 crwinnower https://doi.org/10.22541/essoar.170294036.64500374/v1 2024-05-07T14:19:21Z To improve current estimates of phytoplankton specific carbon in the Ross Sea, we calculated a regionally specific algorithm from in situ particulate organic carbon (POC) concentrations and backscatter sensor data. These data come from three independent Seaglider deployments during the austral summer. Algal-specific POC (Cphyto) accounted for between 19.8-61.0% of total POC in the Ross Sea with an average Cphyto concentration of 84.2 µg C L-1. As a result, Cphyto:chlorophyll a ratios were less than POC:chlorophyll a ratios and ranged from 9.00-257 µg C (µg chlorophyll a) L-1. This regionally-specific method is substantially more accurate (average Cphyto concentrations are 10-78 µg C L-1 greater) than estimates derived from published algorithms. Our findings highlight the value of regionally-specific algorithms for measuring inherent optical properties and how such approaches can inform our current understanding of particulate carbon partitioning and food web dynamics. Other/Unknown Material Antarc* Antarctica Ross Sea The Winnower Austral Ross Sea
institution Open Polar
collection The Winnower
op_collection_id crwinnower
language unknown
description To improve current estimates of phytoplankton specific carbon in the Ross Sea, we calculated a regionally specific algorithm from in situ particulate organic carbon (POC) concentrations and backscatter sensor data. These data come from three independent Seaglider deployments during the austral summer. Algal-specific POC (Cphyto) accounted for between 19.8-61.0% of total POC in the Ross Sea with an average Cphyto concentration of 84.2 µg C L-1. As a result, Cphyto:chlorophyll a ratios were less than POC:chlorophyll a ratios and ranged from 9.00-257 µg C (µg chlorophyll a) L-1. This regionally-specific method is substantially more accurate (average Cphyto concentrations are 10-78 µg C L-1 greater) than estimates derived from published algorithms. Our findings highlight the value of regionally-specific algorithms for measuring inherent optical properties and how such approaches can inform our current understanding of particulate carbon partitioning and food web dynamics.
format Other/Unknown Material
author Meyer, Meredith Grace
Jr., Walker O. Smith,
spellingShingle Meyer, Meredith Grace
Jr., Walker O. Smith,
A locally tuned Cphyto algorithm for the Ross Sea, Antarctica
author_facet Meyer, Meredith Grace
Jr., Walker O. Smith,
author_sort Meyer, Meredith Grace
title A locally tuned Cphyto algorithm for the Ross Sea, Antarctica
title_short A locally tuned Cphyto algorithm for the Ross Sea, Antarctica
title_full A locally tuned Cphyto algorithm for the Ross Sea, Antarctica
title_fullStr A locally tuned Cphyto algorithm for the Ross Sea, Antarctica
title_full_unstemmed A locally tuned Cphyto algorithm for the Ross Sea, Antarctica
title_sort locally tuned cphyto algorithm for the ross sea, antarctica
publisher Authorea, Inc.
publishDate 2023
url http://dx.doi.org/10.22541/essoar.170294036.64500374/v1
geographic Austral
Ross Sea
geographic_facet Austral
Ross Sea
genre Antarc*
Antarctica
Ross Sea
genre_facet Antarc*
Antarctica
Ross Sea
op_doi https://doi.org/10.22541/essoar.170294036.64500374/v1
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