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Pervasive decreases in living vegetation carbon turnover time across forest climate zones
Forests play a major role in the global carbon cycle. Previous studies on the capacity of forests to sequester atmospheric CO(2) have mostly focused on carbon uptake, but the roles of carbon turnover time and its spatiotemporal changes remain poorly understood. Here, we used long-term inventory data...
Autores principales: | , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
National Academy of Sciences
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6900527/ https://www.ncbi.nlm.nih.gov/pubmed/31740604 http://dx.doi.org/10.1073/pnas.1821387116 |
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author | Yu, Kailiang Smith, William K. Trugman, Anna T. Condit, Richard Hubbell, Stephen P. Sardans, Jordi Peng, Changhui Zhu, Kai Peñuelas, Josep Cailleret, Maxime Levanic, Tom Gessler, Arthur Schaub, Marcus Ferretti, Marco Anderegg, William R. L. |
author_facet | Yu, Kailiang Smith, William K. Trugman, Anna T. Condit, Richard Hubbell, Stephen P. Sardans, Jordi Peng, Changhui Zhu, Kai Peñuelas, Josep Cailleret, Maxime Levanic, Tom Gessler, Arthur Schaub, Marcus Ferretti, Marco Anderegg, William R. L. |
author_sort | Yu, Kailiang |
collection | PubMed |
description | Forests play a major role in the global carbon cycle. Previous studies on the capacity of forests to sequester atmospheric CO(2) have mostly focused on carbon uptake, but the roles of carbon turnover time and its spatiotemporal changes remain poorly understood. Here, we used long-term inventory data (1955 to 2018) from 695 mature forest plots to quantify temporal trends in living vegetation carbon turnover time across tropical, temperate, and cold climate zones, and compared plot data to 8 Earth system models (ESMs). Long-term plots consistently showed decreases in living vegetation carbon turnover time, likely driven by increased tree mortality across all major climate zones. Changes in living vegetation carbon turnover time were negatively correlated with CO(2) enrichment in both forest plot data and ESM simulations. However, plot-based correlations between living vegetation carbon turnover time and climate drivers such as precipitation and temperature diverged from those of ESM simulations. Our analyses suggest that forest carbon sinks are likely to be constrained by a decrease in living vegetation carbon turnover time, and accurate projections of forest carbon sink dynamics will require an improved representation of tree mortality processes and their sensitivity to climate in ESMs. |
format | Online Article Text |
id | pubmed-6900527 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | National Academy of Sciences |
record_format | MEDLINE/PubMed |
spelling | pubmed-69005272019-12-12 Pervasive decreases in living vegetation carbon turnover time across forest climate zones Yu, Kailiang Smith, William K. Trugman, Anna T. Condit, Richard Hubbell, Stephen P. Sardans, Jordi Peng, Changhui Zhu, Kai Peñuelas, Josep Cailleret, Maxime Levanic, Tom Gessler, Arthur Schaub, Marcus Ferretti, Marco Anderegg, William R. L. Proc Natl Acad Sci U S A Biological Sciences Forests play a major role in the global carbon cycle. Previous studies on the capacity of forests to sequester atmospheric CO(2) have mostly focused on carbon uptake, but the roles of carbon turnover time and its spatiotemporal changes remain poorly understood. Here, we used long-term inventory data (1955 to 2018) from 695 mature forest plots to quantify temporal trends in living vegetation carbon turnover time across tropical, temperate, and cold climate zones, and compared plot data to 8 Earth system models (ESMs). Long-term plots consistently showed decreases in living vegetation carbon turnover time, likely driven by increased tree mortality across all major climate zones. Changes in living vegetation carbon turnover time were negatively correlated with CO(2) enrichment in both forest plot data and ESM simulations. However, plot-based correlations between living vegetation carbon turnover time and climate drivers such as precipitation and temperature diverged from those of ESM simulations. Our analyses suggest that forest carbon sinks are likely to be constrained by a decrease in living vegetation carbon turnover time, and accurate projections of forest carbon sink dynamics will require an improved representation of tree mortality processes and their sensitivity to climate in ESMs. National Academy of Sciences 2019-12-03 2019-11-18 /pmc/articles/PMC6900527/ /pubmed/31740604 http://dx.doi.org/10.1073/pnas.1821387116 Text en Copyright © 2019 the Author(s). Published by PNAS. https://creativecommons.org/licenses/by-nc-nd/4.0/ https://creativecommons.org/licenses/by-nc-nd/4.0/This open access article is distributed under Creative Commons Attribution-NonCommercial-NoDerivatives License 4.0 (CC BY-NC-ND) (https://creativecommons.org/licenses/by-nc-nd/4.0/) . |
spellingShingle | Biological Sciences Yu, Kailiang Smith, William K. Trugman, Anna T. Condit, Richard Hubbell, Stephen P. Sardans, Jordi Peng, Changhui Zhu, Kai Peñuelas, Josep Cailleret, Maxime Levanic, Tom Gessler, Arthur Schaub, Marcus Ferretti, Marco Anderegg, William R. L. Pervasive decreases in living vegetation carbon turnover time across forest climate zones |
title | Pervasive decreases in living vegetation carbon turnover time across forest climate zones |
title_full | Pervasive decreases in living vegetation carbon turnover time across forest climate zones |
title_fullStr | Pervasive decreases in living vegetation carbon turnover time across forest climate zones |
title_full_unstemmed | Pervasive decreases in living vegetation carbon turnover time across forest climate zones |
title_short | Pervasive decreases in living vegetation carbon turnover time across forest climate zones |
title_sort | pervasive decreases in living vegetation carbon turnover time across forest climate zones |
topic | Biological Sciences |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6900527/ https://www.ncbi.nlm.nih.gov/pubmed/31740604 http://dx.doi.org/10.1073/pnas.1821387116 |
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