Evidence map›Paper›PMID 35112446›Full record

ArticleGlobal change biology2022

Does growing atmospheric CO

Samuli Launiainen, Gabriel G Katul, Kersti Leppä, Pasi Kolari, Toprak Aslan, Tiia Grönholm, Lauri Korhonen, Ivan Mammarella, Timo Vesala

Abstract read
In one paragraph

Article in Global change biology, 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
–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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Drivers of Decadal Carbon Fluxes Across Temperate Ecosystems.Journal of geophysical research. Biogeosciences · 2022
    Article
  7. Article
  8. Does growing atmospheric COGlobal change biology · 2022
    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

9 authors.

Samuli LauniainenNatural Resources Institute Finland, Helsinki, Finland.ORCID 0000-0001-6611-6573
Gabriel G KatulDepartment of Civil and Environmental Engineering, Duke University, Durham, North Carolina, USA.
Kersti LeppäNatural Resources Institute Finland, Helsinki, Finland.
Pasi KolariFaculty of Science, Institute for Atmospheric and Earth System Research/Physics, University of Helsinki, Helsinki, Finland.
Toprak AslanFaculty of Science, Institute for Atmospheric and Earth System Research/Physics, University of Helsinki, Helsinki, Finland.
Tiia GrönholmFinnish Meteorological Institute, Helsinki, Finland.
Lauri KorhonenUniversity of Eastern Finland, Joensuu, Finland.
Ivan MammarellaFaculty of Science, Institute for Atmospheric and Earth System Research/Physics, University of Helsinki, Helsinki, Finland.
Timo VesalaFaculty of Science, Institute for Atmospheric and Earth System Research/Physics, University of Helsinki, Helsinki, Finland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The terrestrial net ecosystem productivity (NEP) has increased during the past three decades, but the mechanisms responsible are still unclear. We analyzed 17 years (2001-2017) of eddy-covariance measurements of NEP, evapotranspiration (ET) and light and water use efficiency from a boreal coniferous forest in Southern Finland for trends and inter-annual variability (IAV). The forest was a mean annual carbon sink (252 [

Indexed as

EcosystemTracheophytaCarbonCarbon CycleCarbon DioxideCarbon SequestrationForestsSeasonsCarbonCarbon Dioxideboreal forestcarbon and water fluxescarbon balanceclimate changedecadal trendsecosystem modelingeddy-covariancefluxnetinter-annual variabilityleaf area indexwater use efficiency

Identifiers

PMID35112446
PMCPMC9544622

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.