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Journal Article

Variable tree rooting strategies improve tropical productivity and evapotranspiration in a dynamic global vegetation model

Authors
/persons/resource/Boris.Sakschewski

Sakschewski,  Boris
Potsdam Institute for Climate Impact Research;

/persons/resource/Werner.von.Bloh

von Bloh,  Werner
Potsdam Institute for Climate Impact Research;

/persons/resource/markus.drueke

Drüke,  Markus
Potsdam Institute for Climate Impact Research;

Sörensson,  Anna A.
External Organizations;

Ruscica,  Romina
External Organizations;

Langerwisch,  Fanny
External Organizations;

/persons/resource/maik.billing

Billing,  Maik
Potsdam Institute for Climate Impact Research;

Bereswill,  Sarah
External Organizations;

Hirota,  Marina
External Organizations;

Oliveira,  Rafael S.
External Organizations;

/persons/resource/Jens.Heinke

Heinke,  Jens
Potsdam Institute for Climate Impact Research;

/persons/resource/Kirsten.Thonicke

Thonicke,  Kirsten
Potsdam Institute for Climate Impact Research;

External Ressource
No external resources are shared
Fulltext (public)

bg-2020-97.pdf
(Preprint), 5MB

Supplementary Material (public)

bg-2020-97-supplement.pdf
(Supplementary material), 320KB

Citation

Sakschewski, B., von Bloh, W., Drüke, M., Sörensson, A. A., Ruscica, R., Langerwisch, F., Billing, M., Bereswill, S., Hirota, M., Oliveira, R. S., Heinke, J., Thonicke, K. (in press): Variable tree rooting strategies improve tropical productivity and evapotranspiration in a dynamic global vegetation model. - Biogeosciences.
https://doi.org/10.5194/bg-2020-97


Cite as: https://publications.pik-potsdam.de/pubman/item/item_25097
Abstract
Tree water access via roots is crucial for forest functioning and therefore forests have developed a vast variety of rooting strategies across the globe. However, Dynamic Global Vegetation Models (DGVMs), which are increasingly used to simulate forest functioning, often condense this variety of tree rooting strategies into biome-scale averages, potentially under- or overestimating forest response to intra- and inter-annual variability in precipitation. Here we present a new approach of implementing variable rooting strategies and dynamic root growth into the LPJmL4.0 DGVM and apply it to tropical and sub-tropical South-America under contemporary climate conditions. We show how competing rooting strategies which underlie the trade-off between above- and below-ground carbon investment lead to more realistic simulated intra-annual productivity and evapotranspiration, and consequently forest cover and spatial biomass distribution. We find that climate and soil depth determine a spatially heterogeneous pattern of mean rooting depth and belowground biomass across the study region.