Evidence map›Paper›PMID 31748793›Full record

ReviewTree physiology2019

Forest carbon allocation modelling under climate change.

Katarína Merganičová, Ján Merganič, Aleksi Lehtonen, Giorgio Vacchiano, Maša Zorana Ostrogović Sever, Andrey L D Augustynczik, Rüdiger Grote, Ina Kyselová, Annikki Mäkelä, Rasoul Yousefpour and 3 more

Abstract readReview
In one paragraph

Review in Tree physiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

17 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Tree Biomass and Leaf Area Allometric Relations forPlants (Basel, Switzerland) · 2023
    Article
  8. Article
  9. Beyond carbon flux partitioning: Carbon allocation and nonstructural carbon dynamics inferred from continuous fluxes.Ecological applications : a publication of the Ecological Society of America · 2022
    Article
  10. Review
  11. Article
  12. Article
  13. Review
  14. Review
  15. Article
  16. Article
  17. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors.

Katarína MerganičováCzech University of Life Sciences, Prague, Faculty of Forestry and Wood Sciences, Kamýcká 129, 16500 Praha-Suchdol, Czech Republic.
Ján MerganičTechnical University Zvolen, Forestry Faculty, T. G. Masaryka 24, 96053 Zvolen, Slovakia.
Aleksi LehtonenThe Finnish Forest Research Institute - Luke, PO Box 18 (Jokiniemenkuja 1), FI-01301 Vantaa, Finland.
Giorgio VacchianoUniversità degli Studi di Milano, DISAA. Via Celoria 2, 20132 Milano, Italy.
Maša Zorana Ostrogović SeverCroatian Forest Research Institute, Department for forest management and forestry economics, Cvjetno naselje 41, 10450 Jastrebarsko, Croatia.
Andrey L D AugustynczikUniversity of Freiburg, Tennenbacher Str. 4 (2. OG), D-79106 Freiburg, Germany.
Rüdiger GroteInstitute of Meteorology and Climate Research (IMK-IFU), Karlsruhe Institute of Technology, Garmisch-Partenkirchen, Germany.
Ina KyselováGlobal Change Research Institute CAS, Bělidla 986/4a, 603 00 Brno, Czech Republic.
Annikki MäkeläUniversity of Helsinki, Department of Forest Science, Latokartanonkaari 7, P.O. Box 27, 00014 Helsinki, Finland.
Rasoul YousefpourUniversity of Freiburg, Tennenbacher Str. 4 (2. OG), D-79106 Freiburg, Germany.
Jan KrejzaGlobal Change Research Institute CAS, Bělidla 986/4a, 603 00 Brno, Czech Republic.
Alessio CollaltiNational Research Council of Italy, Institute for Agriculture and Forestry Systems in the Mediterranean (CNR-ISAFOM), 87036 Rende, Italy.
Christopher P O ReyerPotsdam Institute for Climate Impact Research, Telegraphenberg, PO Box 601203, D-14473 Potsdam, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

Climate ChangeEcosystemCarbonCarbon CycleForestsCarboncarbon partitioningfixed ratiomodel calibrationmycorrhizanatural disturbancesnatural resourcesnonstructural carbohydratesrepair and defence functionreproductiontemporal resolution

Identifiers

PMID31748793
PMCPMC6995853

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.