Forest carbon allocation modelling under climate change

Merganičová, K.; Merganič, J.; Lehtonen, A.; Vacchiano, G.; Ostrogovič Sever, M. Z.; Augustynczik, A. L. D.; Grote, R.; Kyselová, I.; Mäkelä, A.; Yousefpour, R.; Krejza, J.; Collalti, A.; Reyer, Christopher P. O.

doi:10.1093/treephys/tpz105

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Forest carbon allocation modelling under climate change

Urheber*innen

Merganičová, K.
External Organizations;

Merganič, J.
External Organizations;

Lehtonen, A.
External Organizations;

Vacchiano, G.
External Organizations;

Ostrogovič Sever, M. Z.
External Organizations;

Augustynczik, A. L. D.
External Organizations;

Grote, R.
External Organizations;

Kyselová, I.
External Organizations;

Mäkelä, A.
External Organizations;

Yousefpour, R.
External Organizations;

Krejza, J.
External Organizations;

Collalti, A.
External Organizations;

/persons/resource/Reyer

Reyer, Christopher P. O.
Potsdam Institute for Climate Impact Research;

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Zitation

Merganičová, K., Merganič, J., Lehtonen, A., Vacchiano, G., Ostrogovič Sever, M. Z., Augustynczik, A. L. D., Grote, R., Kyselová, I., Mäkelä, A., Yousefpour, R., Krejza, J., Collalti, A., Reyer, C. P. O. (2019): Forest carbon allocation modelling under climate change. - Tree Physiology, 39, 12, 1937-1960.
https://doi.org/10.1093/treephys/tpz105

Zitierlink: https://publications.pik-potsdam.de/pubman/item/item_23340

Zusammenfassung

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.