Evidence map›Paper›PMID 35107645›Full record

ArticleOecologia2022

Heterogeneous isotope effects decouple conifer leaf and branch sugar δ

Richard P Fiorella, Steven A Kannenberg, William R L Anderegg, Russell K Monson, James R Ehleringer

Open access · greenAbstract read
PubMed Publisher
In one paragraph

Article in Oecologia, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.7field-weighted citation impact, top 34% 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

4 citing papers in PubMed, 6 citations in OpenAlex.

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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

5 authors at 3 institutions in 2 countries.

Richard P FiorellaDepartment of Geology and Geophysics, University of Utah, Salt Lake City, UT, 84112, USA. rfiorella@lanl.gov.ORCID http://orcid.org/0000-0002-0824-4777
Steven A KannenbergSchool of Biological Sciences, University of Utah, Salt Lake City, UT, 84112, USA.ORCID http://orcid.org/0000-0002-4097-9140
William R L AndereggGlobal Change and Sustainability Center, University of Utah, Salt Lake City, UT, 84112, USA.ORCID http://orcid.org/0000-0001-6551-3331
Russell K MonsonDepartment of Ecology and Evolutionary Biology, University of Arizona, Tucson, AZ, 85721, USA.ORCID http://orcid.org/0000-0002-7671-4371
James R EhleringerGlobal Change and Sustainability Center, University of Utah, Salt Lake City, UT, 84112, USA.ORCID http://orcid.org/0000-0003-2050-3636
University of Utah · USLos Alamos National Laboratory · USUniversity of Arizona · US

Funding

Division of Atmospheric and Geospace Sciences 1954660Division of Environmental Biology 1714972Division of Environmental Biology 1753845Division of Environmental Biology 1754430Division of Environmental Biology 1802880U.S. Department of Agriculture 2018-67019-27850
6 · The paper itself

Abstract

Isotope ratios of tree-ring cellulose are a prominent tool to reconstruct paleoclimate and plant responses to environmental variation. Current models for cellulose isotope ratios assume a transfer of the environmental signals recorded in bulk leaf water to carbohydrates and ultimately into stem cellulose. However, the isotopic signal of carbohydrates exported from leaf to branch may deviate from mean leaf values if spatial heterogeneity in isotope ratios exists in the leaf. We tested whether the isotopic heterogeneity previously observed along the length of a ponderosa pine (Pinus ponderosa) leaf water was preserved in photosynthetic products. We observed an increase in both sugar and bulk tissue δ

Indexed as

SugarsTracheophytaCarbohydratesCarbon IsotopesOxygen IsotopesPlant LeavesWaterCarbohydratesCarbon IsotopesOxygen IsotopesSugarsWaterCellulosePonderosa pineStable isotopesSugarsTree rings

Identifiers

PMID35107645
OpenAlexW4210587574

What OpenQuestion holds

Textmetadata
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.