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Microphytobenthos primary production estimated by hyperspectral reflectance

The use of remote sensing techniques allows monitoring of photosynthesis at the ecosystem level and improves our knowledge of plant primary productivity. The main objective of the current study was to develop a remote sensing based method to measure microphytobenthos (MPB) primary production from in...

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Autores principales: Méléder, Vona, Jesus, Bruno, Barnett, Alexandre, Barillé, Laurent, Lavaud, Johann
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5951593/
https://www.ncbi.nlm.nih.gov/pubmed/29758047
http://dx.doi.org/10.1371/journal.pone.0197093
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author Méléder, Vona
Jesus, Bruno
Barnett, Alexandre
Barillé, Laurent
Lavaud, Johann
author_facet Méléder, Vona
Jesus, Bruno
Barnett, Alexandre
Barillé, Laurent
Lavaud, Johann
author_sort Méléder, Vona
collection PubMed
description The use of remote sensing techniques allows monitoring of photosynthesis at the ecosystem level and improves our knowledge of plant primary productivity. The main objective of the current study was to develop a remote sensing based method to measure microphytobenthos (MPB) primary production from intertidal mudflats. This was achieved by coupling hyperspectral radiometry (reflectance, ρ and second derivative, δδ) and PAM-fluorometry (non-sequential light curves, NSLC) measurements. The latter allowed the estimation of primary production using a light use efficiency parameter (LUE) and electron transport rates (ETR) whereas ρ allowed to estimate pigment composition and optical absorption cross-section (a*). Five MPB species representative of the main growth forms: epipelic (benthic motile), epipsammic (benthic motile and non motile) and tychoplanktonic (temporarily resuspended in the water column) were submitted to increasing light intensities from dark to 1950 μmol photons.m(-2).s(-1). Different fluorescence patterns were observed for the three growth-forms and were linked to their xanthophyll cycle (de-epoxydation state). After spectral reflectance measurements, a* was retrieved using a radiative transfer model and several radiometric indices were tested for their capacity to predict LUE and ETR measured by PAM-fluorometry. Only one radiometric index was not species or growth-form specific, i.e. δδ(496/508). This index was named MPB(LUE) and could be used to predict LUE and ETR. The applicability of this index was tested with simulated bands of a wide variety of hyperspectral sensors at spectral resolutions between 3 and 15 nm of Full Width at Half Maximum (FWHM).
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spelling pubmed-59515932018-05-25 Microphytobenthos primary production estimated by hyperspectral reflectance Méléder, Vona Jesus, Bruno Barnett, Alexandre Barillé, Laurent Lavaud, Johann PLoS One Research Article The use of remote sensing techniques allows monitoring of photosynthesis at the ecosystem level and improves our knowledge of plant primary productivity. The main objective of the current study was to develop a remote sensing based method to measure microphytobenthos (MPB) primary production from intertidal mudflats. This was achieved by coupling hyperspectral radiometry (reflectance, ρ and second derivative, δδ) and PAM-fluorometry (non-sequential light curves, NSLC) measurements. The latter allowed the estimation of primary production using a light use efficiency parameter (LUE) and electron transport rates (ETR) whereas ρ allowed to estimate pigment composition and optical absorption cross-section (a*). Five MPB species representative of the main growth forms: epipelic (benthic motile), epipsammic (benthic motile and non motile) and tychoplanktonic (temporarily resuspended in the water column) were submitted to increasing light intensities from dark to 1950 μmol photons.m(-2).s(-1). Different fluorescence patterns were observed for the three growth-forms and were linked to their xanthophyll cycle (de-epoxydation state). After spectral reflectance measurements, a* was retrieved using a radiative transfer model and several radiometric indices were tested for their capacity to predict LUE and ETR measured by PAM-fluorometry. Only one radiometric index was not species or growth-form specific, i.e. δδ(496/508). This index was named MPB(LUE) and could be used to predict LUE and ETR. The applicability of this index was tested with simulated bands of a wide variety of hyperspectral sensors at spectral resolutions between 3 and 15 nm of Full Width at Half Maximum (FWHM). Public Library of Science 2018-05-14 /pmc/articles/PMC5951593/ /pubmed/29758047 http://dx.doi.org/10.1371/journal.pone.0197093 Text en © 2018 Méléder et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Méléder, Vona
Jesus, Bruno
Barnett, Alexandre
Barillé, Laurent
Lavaud, Johann
Microphytobenthos primary production estimated by hyperspectral reflectance
title Microphytobenthos primary production estimated by hyperspectral reflectance
title_full Microphytobenthos primary production estimated by hyperspectral reflectance
title_fullStr Microphytobenthos primary production estimated by hyperspectral reflectance
title_full_unstemmed Microphytobenthos primary production estimated by hyperspectral reflectance
title_short Microphytobenthos primary production estimated by hyperspectral reflectance
title_sort microphytobenthos primary production estimated by hyperspectral reflectance
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5951593/
https://www.ncbi.nlm.nih.gov/pubmed/29758047
http://dx.doi.org/10.1371/journal.pone.0197093
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