Predicting phytoplankton composition from space—Using the ratio of euphotic depth to mixed-layer depth: An evaluation ...

A technique to remotely characterize the taxonomic composition of phytoplankton would have application in several fields of environmental study. Satellite imagery available presently and in the near future will likely not be able to accomplish this, except in unique cases, using spectral methods. As...

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Main Authors: Brown, C. W., Esaias, W. E., Thompson, Anne M.
Format: Text
Language:English
Published: Elsevier 1995
Subjects:
Online Access:https://dx.doi.org/10.13016/m2axps-hwoi
https://mdsoar.org/handle/11603/35057
id ftdatacite:10.13016/m2axps-hwoi
record_format openpolar
spelling ftdatacite:10.13016/m2axps-hwoi 2024-09-15T18:23:19+00:00 Predicting phytoplankton composition from space—Using the ratio of euphotic depth to mixed-layer depth: An evaluation ... Brown, C. W. Esaias, W. E. Thompson, Anne M. 1995 https://dx.doi.org/10.13016/m2axps-hwoi https://mdsoar.org/handle/11603/35057 en eng Elsevier Public Domain This work was written as part of one of the author's official duties as an Employee of the United States Government and is therefore a work of the United States Government. In accordance with 17 U.S.C. 105, no copyright protection is available for such works under U.S. Law. https://creativecommons.org/publicdomain/mark/1.0/ Text ScholarlyArticle article-journal 1995 ftdatacite https://doi.org/10.13016/m2axps-hwoi 2024-08-01T11:41:20Z A technique to remotely characterize the taxonomic composition of phytoplankton would have application in several fields of environmental study. Satellite imagery available presently and in the near future will likely not be able to accomplish this, except in unique cases, using spectral methods. As an alternative approach, we empirically evaluated a technique that uses the ratio of euphotic depth (Zeu) to mixed-layer depth (Zm) as a parameter to predict the relative abundance of three major algal groups—diatoms, dinoflagellates, and coccolithophores— in the surface layer of the temperate North Atlantic and North Pacific Oceans. The ratio can be ascertained without in situ measurements; Zeu can be estimated from ocean color imagery, and Zm can be derived from hydrographic models. Diatoms were found to dominate the phytoplankton community, in terms of cell concentration, at stations possessing significantly greater values of the ration Zeu:Zm than those stations where dinoflagellates dominated. This is ... Text North Atlantic DataCite
institution Open Polar
collection DataCite
op_collection_id ftdatacite
language English
description A technique to remotely characterize the taxonomic composition of phytoplankton would have application in several fields of environmental study. Satellite imagery available presently and in the near future will likely not be able to accomplish this, except in unique cases, using spectral methods. As an alternative approach, we empirically evaluated a technique that uses the ratio of euphotic depth (Zeu) to mixed-layer depth (Zm) as a parameter to predict the relative abundance of three major algal groups—diatoms, dinoflagellates, and coccolithophores— in the surface layer of the temperate North Atlantic and North Pacific Oceans. The ratio can be ascertained without in situ measurements; Zeu can be estimated from ocean color imagery, and Zm can be derived from hydrographic models. Diatoms were found to dominate the phytoplankton community, in terms of cell concentration, at stations possessing significantly greater values of the ration Zeu:Zm than those stations where dinoflagellates dominated. This is ...
format Text
author Brown, C. W.
Esaias, W. E.
Thompson, Anne M.
spellingShingle Brown, C. W.
Esaias, W. E.
Thompson, Anne M.
Predicting phytoplankton composition from space—Using the ratio of euphotic depth to mixed-layer depth: An evaluation ...
author_facet Brown, C. W.
Esaias, W. E.
Thompson, Anne M.
author_sort Brown, C. W.
title Predicting phytoplankton composition from space—Using the ratio of euphotic depth to mixed-layer depth: An evaluation ...
title_short Predicting phytoplankton composition from space—Using the ratio of euphotic depth to mixed-layer depth: An evaluation ...
title_full Predicting phytoplankton composition from space—Using the ratio of euphotic depth to mixed-layer depth: An evaluation ...
title_fullStr Predicting phytoplankton composition from space—Using the ratio of euphotic depth to mixed-layer depth: An evaluation ...
title_full_unstemmed Predicting phytoplankton composition from space—Using the ratio of euphotic depth to mixed-layer depth: An evaluation ...
title_sort predicting phytoplankton composition from space—using the ratio of euphotic depth to mixed-layer depth: an evaluation ...
publisher Elsevier
publishDate 1995
url https://dx.doi.org/10.13016/m2axps-hwoi
https://mdsoar.org/handle/11603/35057
genre North Atlantic
genre_facet North Atlantic
op_rights Public Domain
This work was written as part of one of the author's official duties as an Employee of the United States Government and is therefore a work of the United States Government. In accordance with 17 U.S.C. 105, no copyright protection is available for such works under U.S. Law.
https://creativecommons.org/publicdomain/mark/1.0/
op_doi https://doi.org/10.13016/m2axps-hwoi
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