Remote sensing of seasonal light use efficiency in temperate bog ecosystems

Abstract Despite storing approximately half of the atmosphere’s carbon, estimates of fluxes between wetlands and atmosphere under current and future climates are associated with large uncertainties, and it remains a challenge to determine human impacts on the net greenhouse gas balance of wetlands a...

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Autores principales:	R. Tortini, N. C. Coops, Z. Nesic, A. Christen, S. C. Lee, T. Hilker
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2017
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/6747dc5a65a040ccb3ef611d78f72804
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spelling	oai:doaj.org-article:6747dc5a65a040ccb3ef611d78f728042021-12-02T11:53:00ZRemote sensing of seasonal light use efficiency in temperate bog ecosystems10.1038/s41598-017-08102-x2045-2322https://doaj.org/article/6747dc5a65a040ccb3ef611d78f728042017-08-01T00:00:00Zhttps://doi.org/10.1038/s41598-017-08102-xhttps://doaj.org/toc/2045-2322Abstract Despite storing approximately half of the atmosphere’s carbon, estimates of fluxes between wetlands and atmosphere under current and future climates are associated with large uncertainties, and it remains a challenge to determine human impacts on the net greenhouse gas balance of wetlands at the global scale. In this study we demonstrate that the relationship between photochemical reflectance index, derived from high spectral and temporal multi-angular observations, and vegetation light use efficiency was strong (r2 = 0.64 and 0.58 at the hotspot and darkspot, respectively), and can be utilized to estimate carbon fluxes from remote at temperate bog ecosystems. These results improve our understanding of the interactions between vegetation physiology and spectral characteristics to understand seasonal magnitudes and variations in light use efficiency, opening new perspectives on the potential of this technique over extensive areas with different landcover.R. TortiniN. C. CoopsZ. NesicA. ChristenS. C. LeeT. HilkerNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 7, Iss 1, Pp 1-9 (2017)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q R. Tortini N. C. Coops Z. Nesic A. Christen S. C. Lee T. Hilker Remote sensing of seasonal light use efficiency in temperate bog ecosystems
description	Abstract Despite storing approximately half of the atmosphere’s carbon, estimates of fluxes between wetlands and atmosphere under current and future climates are associated with large uncertainties, and it remains a challenge to determine human impacts on the net greenhouse gas balance of wetlands at the global scale. In this study we demonstrate that the relationship between photochemical reflectance index, derived from high spectral and temporal multi-angular observations, and vegetation light use efficiency was strong (r2 = 0.64 and 0.58 at the hotspot and darkspot, respectively), and can be utilized to estimate carbon fluxes from remote at temperate bog ecosystems. These results improve our understanding of the interactions between vegetation physiology and spectral characteristics to understand seasonal magnitudes and variations in light use efficiency, opening new perspectives on the potential of this technique over extensive areas with different landcover.
format	article
author	R. Tortini N. C. Coops Z. Nesic A. Christen S. C. Lee T. Hilker
author_facet	R. Tortini N. C. Coops Z. Nesic A. Christen S. C. Lee T. Hilker
author_sort	R. Tortini
title	Remote sensing of seasonal light use efficiency in temperate bog ecosystems
title_short	Remote sensing of seasonal light use efficiency in temperate bog ecosystems
title_full	Remote sensing of seasonal light use efficiency in temperate bog ecosystems
title_fullStr	Remote sensing of seasonal light use efficiency in temperate bog ecosystems
title_full_unstemmed	Remote sensing of seasonal light use efficiency in temperate bog ecosystems
title_sort	remote sensing of seasonal light use efficiency in temperate bog ecosystems
publisher	Nature Portfolio
publishDate	2017
url	https://doaj.org/article/6747dc5a65a040ccb3ef611d78f72804
work_keys_str_mv	AT rtortini remotesensingofseasonallightuseefficiencyintemperatebogecosystems AT nccoops remotesensingofseasonallightuseefficiencyintemperatebogecosystems AT znesic remotesensingofseasonallightuseefficiencyintemperatebogecosystems AT achristen remotesensingofseasonallightuseefficiencyintemperatebogecosystems AT sclee remotesensingofseasonallightuseefficiencyintemperatebogecosystems AT thilker remotesensingofseasonallightuseefficiencyintemperatebogecosystems
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Remote sensing of seasonal light use efficiency in temperate bog ecosystems

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