Evidence map›Paper›PMID 35849053›Full record

ArticleTree physiology2022

Tree organ growth and carbon allocation dynamics impact the magnitude and δ13C signal of stem and soil CO2 fluxes.

Yu Tang, Pauliina Schiestl-Aalto, Matthias Saurer, Elina Sahlstedt, Liisa Kulmala, Pasi Kolari, Kira Ryhti, Yann Salmon, Tuula Jyske, Yiyang Ding and 2 more

Open access · hybridAbstract read
In one paragraph

Article in Tree physiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.5field-weighted citation impact, top 19% of its field
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

8 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
  2. Article
  3. ConstitutiveInternational journal of molecular sciences · 2025
    Article
  4. Time-integrated δThe New phytologist · 2025
    Article
  5. Article
  6. Article
  7. Article
  8. Article
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

12 authors at 4 institutions in 2 countries.

Yu TangBioeconomy and Environment Unit, Natural Resources Institute Finland, Latokartanonkaari 9, FI-00790 Helsinki, Finland.ORCID 0000-0002-2851-4762
Pauliina Schiestl-AaltoInstitute for Atmospheric and Earth System Research (INAR)/Physics, Faculty of Science, University of Helsinki, P.O. Box 68, FI-00014 Helsinki, Finland.
Matthias SaurerForest Dynamics, Swiss Federal Institute for Forest, Snow and Landscape Research WSL, Zürcherstrasse 111, 8903 Birmensdorf, Switzerland.ORCID 0000-0002-3954-3534
Elina SahlstedtBioeconomy and Environment Unit, Natural Resources Institute Finland, Latokartanonkaari 9, FI-00790 Helsinki, Finland.
Liisa KulmalaInstitute for Atmospheric and Earth System Research (INAR)/Forest Sciences, Faculty of Agriculture and Forestry, University of Helsinki, P.O. Box 27, FI-00014 Helsinki, Finland.
Pasi KolariInstitute for Atmospheric and Earth System Research (INAR)/Physics, Faculty of Science, University of Helsinki, P.O. Box 68, FI-00014 Helsinki, Finland.
Kira RyhtiInstitute for Atmospheric and Earth System Research (INAR)/Forest Sciences, Faculty of Agriculture and Forestry, University of Helsinki, P.O. Box 27, FI-00014 Helsinki, Finland.
Yann SalmonInstitute for Atmospheric and Earth System Research (INAR)/Forest Sciences, Faculty of Agriculture and Forestry, University of Helsinki, P.O. Box 27, FI-00014 Helsinki, Finland.ORCID 0000-0003-4433-4021
Tuula JyskeProduction Systems Unit, Natural Resources Institute Finland, Tietotie 2, FI-02150 Espoo, Finland.
Yiyang DingDepartment of Forest Sciences, Faculty of Agriculture and Forestry, University of Helsinki, P.O. Box 27, FI-00014 Helsinki, Finland.ORCID 0000-0001-6031-1263
Jaana BäckInstitute for Atmospheric and Earth System Research (INAR)/Forest Sciences, Faculty of Agriculture and Forestry, University of Helsinki, P.O. Box 27, FI-00014 Helsinki, Finland.
Katja T Rinne-GarmstonBioeconomy and Environment Unit, Natural Resources Institute Finland, Latokartanonkaari 9, FI-00790 Helsinki, Finland.
University of Helsinki · FINatural Resources Institute Finland · FIFinnish Meteorological Institute · FISwiss Federal Institute for Forest, Snow and Landscape Research · CH

Funding

Academy of Finland #295319Center of Excellence in Atmospheric Sciences, University of Helsinki Funds #307331European Research Council #755865Finnish Cultural Foundation #00221014Knut and Alice Wallenberg Foundation #2015.0047Kone Foundation #201710497
6 · The paper itself

Abstract

Incomplete knowledge of carbon (C) allocation dynamics in trees hinders accurate modeling and future predictions of tree growth. We studied C allocation dynamics in a mature Pinus sylvestris L. dominated forest with a novel analytical approach, allowing the first comparison of: (i) magnitude and δ13C of shoot, stem and soil CO2 fluxes (Ashoot, Rstem and Rsoil), (ii) concentration and δ13C of compound-specific and/or bulk non-structural carbohydrates (NSCs) in phloem and roots and (iii) growth of stem and fine roots. Results showed a significant effect of phloem NSC concentrations on tracheid growth, and both variables significantly impacted Rstem. Also, concentrations of root NSCs, especially starch, had a significant effect on fine root growth, although no effect of root NSC concentrations or root growth was detected on Rsoil. Time series analysis between δ13C of Ashoot and δ13C of Rstem or δ13C of Rsoil revealed strengthened C allocation to stem or roots under high C demands. Furthermore, we detected a significant correlation between δ13C of Rstem and δ13C of phloem sucrose and glucose, but not for starch or water-soluble carbohydrates. Our results indicate the need to include C allocation dynamics into tree growth models. We recommend using compound-specific concentration and δ13C analysis to reveal C allocation processes that may not be detected by the conventional approach that utilizes bulk organic matter.

Indexed as

CarbonTreesCarbohydratesForestsSoilStarchCarbohydratesCarbonSoilStarchboreal forestcompound-specificnon-structural carbohydrates (NSCs)Pinus sylvestrisstarchsucrosewater-soluble carbohydrates (WSCs)

Identifiers

PMID35849053
PMCPMC10101690
OpenAlexW4285733403

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.