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Forest carbon allocation modelling under climate change

Carbon allocation plays a key role in ecosystem dynamics and plant adaptation to changing environmental conditions. Hence, proper description of this process in vegetation models is crucial for the simulations of the impact of climate change on carbon cycling in forests. Here we review how carbon al...

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Autores principales: Merganičová, Katarína, Merganič, Ján, Lehtonen, Aleksi, Vacchiano, Giorgio, Sever, Maša Zorana Ostrogović, Augustynczik, Andrey L D, Grote, Rüdiger, Kyselová, Ina, Mäkelä, Annikki, Yousefpour, Rasoul, Krejza, Jan, Collalti, Alessio, Reyer, Christopher P O
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6995853/
https://www.ncbi.nlm.nih.gov/pubmed/31748793
http://dx.doi.org/10.1093/treephys/tpz105
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author Merganičová, Katarína
Merganič, Ján
Lehtonen, Aleksi
Vacchiano, Giorgio
Sever, Maša Zorana Ostrogović
Augustynczik, Andrey L D
Grote, Rüdiger
Kyselová, Ina
Mäkelä, Annikki
Yousefpour, Rasoul
Krejza, Jan
Collalti, Alessio
Reyer, Christopher P O
author_facet Merganičová, Katarína
Merganič, Ján
Lehtonen, Aleksi
Vacchiano, Giorgio
Sever, Maša Zorana Ostrogović
Augustynczik, Andrey L D
Grote, Rüdiger
Kyselová, Ina
Mäkelä, Annikki
Yousefpour, Rasoul
Krejza, Jan
Collalti, Alessio
Reyer, Christopher P O
author_sort Merganičová, Katarína
collection PubMed
description Carbon allocation plays a key role in ecosystem dynamics and plant adaptation to changing environmental conditions. Hence, proper description of this process in vegetation models is crucial for the simulations of the impact of climate change on carbon cycling in forests. Here we review how carbon allocation modelling is currently implemented in 31 contrasting models to identify the main gaps compared with our theoretical and empirical understanding of carbon allocation. A hybrid approach based on combining several principles and/or types of carbon allocation modelling prevailed in the examined models, while physiologically more sophisticated approaches were used less often than empirical ones. The analysis revealed that, although the number of carbon allocation studies over the past 10 years has substantially increased, some background processes are still insufficiently understood and some issues in models are frequently poorly represented, oversimplified or even omitted. Hence, current challenges for carbon allocation modelling in forest ecosystems are (i) to overcome remaining limits in process understanding, particularly regarding the impact of disturbances on carbon allocation, accumulation and utilization of nonstructural carbohydrates, and carbon use by symbionts, and (ii) to implement existing knowledge of carbon allocation into defence, regeneration and improved resource uptake in order to better account for changing environmental conditions.
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spelling pubmed-69958532020-02-07 Forest carbon allocation modelling under climate change Merganičová, Katarína Merganič, Ján Lehtonen, Aleksi Vacchiano, Giorgio Sever, Maša Zorana Ostrogović Augustynczik, Andrey L D Grote, Rüdiger Kyselová, Ina Mäkelä, Annikki Yousefpour, Rasoul Krejza, Jan Collalti, Alessio Reyer, Christopher P O Tree Physiol Review Carbon allocation plays a key role in ecosystem dynamics and plant adaptation to changing environmental conditions. Hence, proper description of this process in vegetation models is crucial for the simulations of the impact of climate change on carbon cycling in forests. Here we review how carbon allocation modelling is currently implemented in 31 contrasting models to identify the main gaps compared with our theoretical and empirical understanding of carbon allocation. A hybrid approach based on combining several principles and/or types of carbon allocation modelling prevailed in the examined models, while physiologically more sophisticated approaches were used less often than empirical ones. The analysis revealed that, although the number of carbon allocation studies over the past 10 years has substantially increased, some background processes are still insufficiently understood and some issues in models are frequently poorly represented, oversimplified or even omitted. Hence, current challenges for carbon allocation modelling in forest ecosystems are (i) to overcome remaining limits in process understanding, particularly regarding the impact of disturbances on carbon allocation, accumulation and utilization of nonstructural carbohydrates, and carbon use by symbionts, and (ii) to implement existing knowledge of carbon allocation into defence, regeneration and improved resource uptake in order to better account for changing environmental conditions. Oxford University Press 2019-11-21 /pmc/articles/PMC6995853/ /pubmed/31748793 http://dx.doi.org/10.1093/treephys/tpz105 Text en © The Author(s) 2019. Published by Oxford University Press. 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 Review
Merganičová, Katarína
Merganič, Ján
Lehtonen, Aleksi
Vacchiano, Giorgio
Sever, Maša Zorana Ostrogović
Augustynczik, Andrey L D
Grote, Rüdiger
Kyselová, Ina
Mäkelä, Annikki
Yousefpour, Rasoul
Krejza, Jan
Collalti, Alessio
Reyer, Christopher P O
Forest carbon allocation modelling under climate change
title Forest carbon allocation modelling under climate change
title_full Forest carbon allocation modelling under climate change
title_fullStr Forest carbon allocation modelling under climate change
title_full_unstemmed Forest carbon allocation modelling under climate change
title_short Forest carbon allocation modelling under climate change
title_sort forest carbon allocation modelling under climate change
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6995853/
https://www.ncbi.nlm.nih.gov/pubmed/31748793
http://dx.doi.org/10.1093/treephys/tpz105
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