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Remotely-sensed detection of effects of extreme droughts on gross primary production

Severe droughts strongly impact photosynthesis (GPP), and satellite imagery has yet to demonstrate its ability to detect drought effects. Especially changes in vegetation functioning when vegetation state remains unaltered (no browning or defoliation) pose a challenge to satellite-derived indicators...

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Autores principales: Vicca, Sara, Balzarolo, Manuela, Filella, Iolanda, Granier, André, Herbst, Mathias, Knohl, Alexander, Longdoz, Bernard, Mund, Martina, Nagy, Zoltan, Pintér, Krisztina, Rambal, Serge, Verbesselt, Jan, Verger, Aleixandre, Zeileis, Achim, Zhang, Chao, Peñuelas, Josep
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4908591/
https://www.ncbi.nlm.nih.gov/pubmed/27301671
http://dx.doi.org/10.1038/srep28269
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author Vicca, Sara
Balzarolo, Manuela
Filella, Iolanda
Granier, André
Herbst, Mathias
Knohl, Alexander
Longdoz, Bernard
Mund, Martina
Nagy, Zoltan
Pintér, Krisztina
Rambal, Serge
Verbesselt, Jan
Verger, Aleixandre
Zeileis, Achim
Zhang, Chao
Peñuelas, Josep
author_facet Vicca, Sara
Balzarolo, Manuela
Filella, Iolanda
Granier, André
Herbst, Mathias
Knohl, Alexander
Longdoz, Bernard
Mund, Martina
Nagy, Zoltan
Pintér, Krisztina
Rambal, Serge
Verbesselt, Jan
Verger, Aleixandre
Zeileis, Achim
Zhang, Chao
Peñuelas, Josep
author_sort Vicca, Sara
collection PubMed
description Severe droughts strongly impact photosynthesis (GPP), and satellite imagery has yet to demonstrate its ability to detect drought effects. Especially changes in vegetation functioning when vegetation state remains unaltered (no browning or defoliation) pose a challenge to satellite-derived indicators. We evaluated the performance of different satellite indicators to detect strong drought effects on GPP in a beech forest in France (Hesse), where vegetation state remained largely unaffected while GPP decreased substantially. We compared the results with three additional sites: a Mediterranean holm oak forest (Puéchabon), a temperate beech forest (Hainich), and a semi-arid grassland (Bugacpuszta). In Hesse, a three-year reduction in GPP following drought was detected only by the Enhanced Vegetation Index (EVI). The Photochemical Reflectance Index (PRI) also detected this drought effect, but only after normalization for absorbed light. In Puéchabon normalized PRI outperformed the other indicators, while the short-term drought effect in Hainich was not detected by any tested indicator. In contrast, most indicators, but not PRI, captured the drought effects in Bugacpuszta. Hence, PRI improved detection of drought effects on GPP in forests and we propose that PRI normalized for absorbed light is considered in future algorithms to estimate GPP from space.
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spelling pubmed-49085912016-06-16 Remotely-sensed detection of effects of extreme droughts on gross primary production Vicca, Sara Balzarolo, Manuela Filella, Iolanda Granier, André Herbst, Mathias Knohl, Alexander Longdoz, Bernard Mund, Martina Nagy, Zoltan Pintér, Krisztina Rambal, Serge Verbesselt, Jan Verger, Aleixandre Zeileis, Achim Zhang, Chao Peñuelas, Josep Sci Rep Article Severe droughts strongly impact photosynthesis (GPP), and satellite imagery has yet to demonstrate its ability to detect drought effects. Especially changes in vegetation functioning when vegetation state remains unaltered (no browning or defoliation) pose a challenge to satellite-derived indicators. We evaluated the performance of different satellite indicators to detect strong drought effects on GPP in a beech forest in France (Hesse), where vegetation state remained largely unaffected while GPP decreased substantially. We compared the results with three additional sites: a Mediterranean holm oak forest (Puéchabon), a temperate beech forest (Hainich), and a semi-arid grassland (Bugacpuszta). In Hesse, a three-year reduction in GPP following drought was detected only by the Enhanced Vegetation Index (EVI). The Photochemical Reflectance Index (PRI) also detected this drought effect, but only after normalization for absorbed light. In Puéchabon normalized PRI outperformed the other indicators, while the short-term drought effect in Hainich was not detected by any tested indicator. In contrast, most indicators, but not PRI, captured the drought effects in Bugacpuszta. Hence, PRI improved detection of drought effects on GPP in forests and we propose that PRI normalized for absorbed light is considered in future algorithms to estimate GPP from space. Nature Publishing Group 2016-06-15 /pmc/articles/PMC4908591/ /pubmed/27301671 http://dx.doi.org/10.1038/srep28269 Text en Copyright © 2016, Macmillan Publishers Limited http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/
spellingShingle Article
Vicca, Sara
Balzarolo, Manuela
Filella, Iolanda
Granier, André
Herbst, Mathias
Knohl, Alexander
Longdoz, Bernard
Mund, Martina
Nagy, Zoltan
Pintér, Krisztina
Rambal, Serge
Verbesselt, Jan
Verger, Aleixandre
Zeileis, Achim
Zhang, Chao
Peñuelas, Josep
Remotely-sensed detection of effects of extreme droughts on gross primary production
title Remotely-sensed detection of effects of extreme droughts on gross primary production
title_full Remotely-sensed detection of effects of extreme droughts on gross primary production
title_fullStr Remotely-sensed detection of effects of extreme droughts on gross primary production
title_full_unstemmed Remotely-sensed detection of effects of extreme droughts on gross primary production
title_short Remotely-sensed detection of effects of extreme droughts on gross primary production
title_sort remotely-sensed detection of effects of extreme droughts on gross primary production
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4908591/
https://www.ncbi.nlm.nih.gov/pubmed/27301671
http://dx.doi.org/10.1038/srep28269
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