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Future global productivity will be affected by plant trait response to climate
Plant traits are both responsive to local climate and strong predictors of primary productivity. We hypothesized that future climate change might promote a shift in global plant traits resulting in changes in Gross Primary Productivity (GPP). We characterized the relationship between key plant trait...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5809371/ https://www.ncbi.nlm.nih.gov/pubmed/29434266 http://dx.doi.org/10.1038/s41598-018-21172-9 |
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author | Madani, Nima Kimball, John S. Ballantyne, Ashley P. Affleck, David L. R. van Bodegom, Peter M. Reich, Peter B. Kattge, Jens Sala, Anna Nazeri, Mona Jones, Matthew O. Zhao, Maosheng Running, Steven W. |
author_facet | Madani, Nima Kimball, John S. Ballantyne, Ashley P. Affleck, David L. R. van Bodegom, Peter M. Reich, Peter B. Kattge, Jens Sala, Anna Nazeri, Mona Jones, Matthew O. Zhao, Maosheng Running, Steven W. |
author_sort | Madani, Nima |
collection | PubMed |
description | Plant traits are both responsive to local climate and strong predictors of primary productivity. We hypothesized that future climate change might promote a shift in global plant traits resulting in changes in Gross Primary Productivity (GPP). We characterized the relationship between key plant traits, namely Specific Leaf Area (SLA), height, and seed mass, and local climate and primary productivity. We found that by 2070, tropical and arid ecosystems will be more suitable for plants with relatively lower canopy height, SLA and seed mass, while far northern latitudes will favor woody and taller plants than at present. Using a network of tower eddy covariance CO2 flux measurements and the extrapolated plant trait maps, we estimated the global distribution of annual GPP under current and projected future plant community distribution. We predict that annual GPP in northern biomes (≥45 °N) will increase by 31% (+8.1 ± 0.5 Pg C), but this will be offset by a 17.9% GPP decline in the tropics (−11.8 ± 0.84 Pg C). These findings suggest that regional climate changes will affect plant trait distributions, which may in turn affect global productivity patterns. |
format | Online Article Text |
id | pubmed-5809371 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-58093712018-02-15 Future global productivity will be affected by plant trait response to climate Madani, Nima Kimball, John S. Ballantyne, Ashley P. Affleck, David L. R. van Bodegom, Peter M. Reich, Peter B. Kattge, Jens Sala, Anna Nazeri, Mona Jones, Matthew O. Zhao, Maosheng Running, Steven W. Sci Rep Article Plant traits are both responsive to local climate and strong predictors of primary productivity. We hypothesized that future climate change might promote a shift in global plant traits resulting in changes in Gross Primary Productivity (GPP). We characterized the relationship between key plant traits, namely Specific Leaf Area (SLA), height, and seed mass, and local climate and primary productivity. We found that by 2070, tropical and arid ecosystems will be more suitable for plants with relatively lower canopy height, SLA and seed mass, while far northern latitudes will favor woody and taller plants than at present. Using a network of tower eddy covariance CO2 flux measurements and the extrapolated plant trait maps, we estimated the global distribution of annual GPP under current and projected future plant community distribution. We predict that annual GPP in northern biomes (≥45 °N) will increase by 31% (+8.1 ± 0.5 Pg C), but this will be offset by a 17.9% GPP decline in the tropics (−11.8 ± 0.84 Pg C). These findings suggest that regional climate changes will affect plant trait distributions, which may in turn affect global productivity patterns. Nature Publishing Group UK 2018-02-12 /pmc/articles/PMC5809371/ /pubmed/29434266 http://dx.doi.org/10.1038/s41598-018-21172-9 Text en © The Author(s) 2018 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 Madani, Nima Kimball, John S. Ballantyne, Ashley P. Affleck, David L. R. van Bodegom, Peter M. Reich, Peter B. Kattge, Jens Sala, Anna Nazeri, Mona Jones, Matthew O. Zhao, Maosheng Running, Steven W. Future global productivity will be affected by plant trait response to climate |
title | Future global productivity will be affected by plant trait response to climate |
title_full | Future global productivity will be affected by plant trait response to climate |
title_fullStr | Future global productivity will be affected by plant trait response to climate |
title_full_unstemmed | Future global productivity will be affected by plant trait response to climate |
title_short | Future global productivity will be affected by plant trait response to climate |
title_sort | future global productivity will be affected by plant trait response to climate |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5809371/ https://www.ncbi.nlm.nih.gov/pubmed/29434266 http://dx.doi.org/10.1038/s41598-018-21172-9 |
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