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Tree-ring isotopes capture interannual vegetation productivity dynamics at the biome scale

Historical and future trends in net primary productivity (NPP) and its sensitivity to global change are largely unknown because of the lack of long-term, high-resolution data. Here we test whether annually resolved tree-ring stable carbon (δ(13)C) and oxygen (δ(18)O) isotopes can be used as proxies...

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Autores principales: Levesque, Mathieu, Andreu-Hayles, Laia, Smith, William Kolby, Williams, A. Park, Hobi, Martina L., Allred, Brady W., Pederson, Neil
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6375978/
https://www.ncbi.nlm.nih.gov/pubmed/30765694
http://dx.doi.org/10.1038/s41467-019-08634-y
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author Levesque, Mathieu
Andreu-Hayles, Laia
Smith, William Kolby
Williams, A. Park
Hobi, Martina L.
Allred, Brady W.
Pederson, Neil
author_facet Levesque, Mathieu
Andreu-Hayles, Laia
Smith, William Kolby
Williams, A. Park
Hobi, Martina L.
Allred, Brady W.
Pederson, Neil
author_sort Levesque, Mathieu
collection PubMed
description Historical and future trends in net primary productivity (NPP) and its sensitivity to global change are largely unknown because of the lack of long-term, high-resolution data. Here we test whether annually resolved tree-ring stable carbon (δ(13)C) and oxygen (δ(18)O) isotopes can be used as proxies for reconstructing past NPP. Stable isotope chronologies from four sites within three distinct hydroclimatic environments in the eastern United States (US) were compared in time and space against satellite-derived NPP products, including the long-term Global Inventory Modeling and Mapping Studies (GIMMS3g) NPP (1982–2011), the newest high-resolution Landsat NPP (1986–2015), and the Moderate Resolution Imaging Spectroradiometer (MODIS, 2001–2015) NPP. We show that tree-ring isotopes, in particular δ(18)O, correlate strongly with satellite NPP estimates at both local and large geographical scales in the eastern US. These findings represent an important breakthrough for estimating interannual variability and long-term changes in terrestrial productivity at the biome scale.
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spelling pubmed-63759782019-02-19 Tree-ring isotopes capture interannual vegetation productivity dynamics at the biome scale Levesque, Mathieu Andreu-Hayles, Laia Smith, William Kolby Williams, A. Park Hobi, Martina L. Allred, Brady W. Pederson, Neil Nat Commun Article Historical and future trends in net primary productivity (NPP) and its sensitivity to global change are largely unknown because of the lack of long-term, high-resolution data. Here we test whether annually resolved tree-ring stable carbon (δ(13)C) and oxygen (δ(18)O) isotopes can be used as proxies for reconstructing past NPP. Stable isotope chronologies from four sites within three distinct hydroclimatic environments in the eastern United States (US) were compared in time and space against satellite-derived NPP products, including the long-term Global Inventory Modeling and Mapping Studies (GIMMS3g) NPP (1982–2011), the newest high-resolution Landsat NPP (1986–2015), and the Moderate Resolution Imaging Spectroradiometer (MODIS, 2001–2015) NPP. We show that tree-ring isotopes, in particular δ(18)O, correlate strongly with satellite NPP estimates at both local and large geographical scales in the eastern US. These findings represent an important breakthrough for estimating interannual variability and long-term changes in terrestrial productivity at the biome scale. Nature Publishing Group UK 2019-02-14 /pmc/articles/PMC6375978/ /pubmed/30765694 http://dx.doi.org/10.1038/s41467-019-08634-y Text en © The Author(s) 2019 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Levesque, Mathieu
Andreu-Hayles, Laia
Smith, William Kolby
Williams, A. Park
Hobi, Martina L.
Allred, Brady W.
Pederson, Neil
Tree-ring isotopes capture interannual vegetation productivity dynamics at the biome scale
title Tree-ring isotopes capture interannual vegetation productivity dynamics at the biome scale
title_full Tree-ring isotopes capture interannual vegetation productivity dynamics at the biome scale
title_fullStr Tree-ring isotopes capture interannual vegetation productivity dynamics at the biome scale
title_full_unstemmed Tree-ring isotopes capture interannual vegetation productivity dynamics at the biome scale
title_short Tree-ring isotopes capture interannual vegetation productivity dynamics at the biome scale
title_sort tree-ring isotopes capture interannual vegetation productivity dynamics at the biome scale
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6375978/
https://www.ncbi.nlm.nih.gov/pubmed/30765694
http://dx.doi.org/10.1038/s41467-019-08634-y
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