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Using an optimality model to understand medium and long-term responses of vegetation water use to elevated atmospheric CO(2) concentrations
Vegetation has different adjustable properties for adaptation to its environment. Examples include stomatal conductance at short time scale (minutes), leaf area index and fine root distributions at longer time scales (days–months) and species composition and dominant growth forms at very long time s...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4497478/ https://www.ncbi.nlm.nih.gov/pubmed/26019228 http://dx.doi.org/10.1093/aobpla/plv060 |
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author | Schymanski, Stanislaus J. Roderick, Michael L. Sivapalan, Murugesu |
author_facet | Schymanski, Stanislaus J. Roderick, Michael L. Sivapalan, Murugesu |
author_sort | Schymanski, Stanislaus J. |
collection | PubMed |
description | Vegetation has different adjustable properties for adaptation to its environment. Examples include stomatal conductance at short time scale (minutes), leaf area index and fine root distributions at longer time scales (days–months) and species composition and dominant growth forms at very long time scales (years–decades–centuries). As a result, the overall response of evapotranspiration to changes in environmental forcing may also change at different time scales. The vegetation optimality model simulates optimal adaptation to environmental conditions, based on the assumption that different vegetation properties are optimized to maximize the long-term net carbon profit, allowing for separation of different scales of adaptation, without the need for parametrization with observed responses. This paper discusses model simulations of vegetation responses to today's elevated atmospheric CO(2) concentrations (eCO(2)) at different temporal scales and puts them in context with experimental evidence from free-air CO(2) enrichment (FACE) experiments. Without any model tuning or calibration, the model reproduced general trends deduced from FACE experiments, but, contrary to the widespread expectation that eCO(2) would generally decrease water use due to its leaf-scale effect on stomatal conductance, our results suggest that eCO(2) may lead to unchanged or even increased vegetation water use in water-limited climates, accompanied by an increase in perennial vegetation cover. |
format | Online Article Text |
id | pubmed-4497478 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-44974782015-07-15 Using an optimality model to understand medium and long-term responses of vegetation water use to elevated atmospheric CO(2) concentrations Schymanski, Stanislaus J. Roderick, Michael L. Sivapalan, Murugesu AoB Plants Research Articles Vegetation has different adjustable properties for adaptation to its environment. Examples include stomatal conductance at short time scale (minutes), leaf area index and fine root distributions at longer time scales (days–months) and species composition and dominant growth forms at very long time scales (years–decades–centuries). As a result, the overall response of evapotranspiration to changes in environmental forcing may also change at different time scales. The vegetation optimality model simulates optimal adaptation to environmental conditions, based on the assumption that different vegetation properties are optimized to maximize the long-term net carbon profit, allowing for separation of different scales of adaptation, without the need for parametrization with observed responses. This paper discusses model simulations of vegetation responses to today's elevated atmospheric CO(2) concentrations (eCO(2)) at different temporal scales and puts them in context with experimental evidence from free-air CO(2) enrichment (FACE) experiments. Without any model tuning or calibration, the model reproduced general trends deduced from FACE experiments, but, contrary to the widespread expectation that eCO(2) would generally decrease water use due to its leaf-scale effect on stomatal conductance, our results suggest that eCO(2) may lead to unchanged or even increased vegetation water use in water-limited climates, accompanied by an increase in perennial vegetation cover. Oxford University Press 2015-05-27 /pmc/articles/PMC4497478/ /pubmed/26019228 http://dx.doi.org/10.1093/aobpla/plv060 Text en Published by Oxford University Press on behalf of the Annals of Botany Company. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Articles Schymanski, Stanislaus J. Roderick, Michael L. Sivapalan, Murugesu Using an optimality model to understand medium and long-term responses of vegetation water use to elevated atmospheric CO(2) concentrations |
title | Using an optimality model to understand medium and long-term responses of vegetation water use to elevated atmospheric CO(2) concentrations |
title_full | Using an optimality model to understand medium and long-term responses of vegetation water use to elevated atmospheric CO(2) concentrations |
title_fullStr | Using an optimality model to understand medium and long-term responses of vegetation water use to elevated atmospheric CO(2) concentrations |
title_full_unstemmed | Using an optimality model to understand medium and long-term responses of vegetation water use to elevated atmospheric CO(2) concentrations |
title_short | Using an optimality model to understand medium and long-term responses of vegetation water use to elevated atmospheric CO(2) concentrations |
title_sort | using an optimality model to understand medium and long-term responses of vegetation water use to elevated atmospheric co(2) concentrations |
topic | Research Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4497478/ https://www.ncbi.nlm.nih.gov/pubmed/26019228 http://dx.doi.org/10.1093/aobpla/plv060 |
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