Evidence map›Paper›PMID 35434770›Full record

ArticleOecologia2022

Tree growth sensitivity to climate varies across a seasonal precipitation gradient.

Larissa Yocom, Kiona Ogle, Drew Peltier, Paul Szejner, Yao Liu, Russell K Monson

Abstract 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 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
1.1field-weighted citation impact, top 27% 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

1 citing paper in PubMed, 10 citations in OpenAlex.

  1. Restoration treatments enhance tree growth and alter climatic constraints during extreme drought.Ecological applications : a publication of the Ecological Society of America · 2025
    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

6 authors at 4 institutions in 3 countries.

Larissa YocomDepartment of Wildland Resources and the Ecology Center, Utah State University, 5230 Old Main, Logan, UT, USA. larissa.yocom@usu.edu.ORCID http://orcid.org/0000-0003-2459-0765
Kiona OgleSchool of Informatics, Computing, and Cyber Systems, Northern Arizona University, Flagstaff, AZ, USA.
Drew PeltierDepartment of Biological Sciences, Northern Arizona University, Flagstaff, AZ, USA.
Paul SzejnerInstituto de Geología, Universidad Nacional Autónoma de México, México City, México.
Yao LiuEnvironmental Sciences Division and Climate Change Science Institute, Oak Ridge National Laboratory, Oak Ridge, TN, USA.
Russell K MonsonLaboratory of Tree-Ring Research, University of Arizona, Tucson, AZ, USA.
Northern Arizona University · USUniversity of Arizona · USOak Ridge National Laboratory · USUtah State University · US

Funding

national science foundation 1065790national science foundation 1458867national science foundation 1754430
6 · The paper itself

Abstract

Spatial patterns of precipitation in the southwestern United States result in a complex gradient from winter-to-summer moisture dominance that influences tree growth. In response, tree growth exhibits seasonal-to-annual variability that is evident in the growth of whole tree rings, and in sub-annual sections such as earlywood and latewood. We evaluated the influence of precipitation and temperature on the growth of Pinus ponderosa trees in 11 sites in the southwestern US. Precipitation during the year of growth and the prior year accounted for about half of the climate influence on annual growth, with the other half reflecting conditions 2-4 years prior to growth, indicating that individual trees do indeed exhibit multi-year "memory" of climate. Trees in wetter sites exhibited weaker influence of past precipitation inputs, but longer memory of climatic variability. Conversely, trees in dry sites exhibited shorter memory of long-term climatic variability, but greater sensitivity to past precipitation effects. These results are consistent with the existence of complex interactions between endogenous (phenotype) effects and exogenous (climate) effects in controlling climate memory in trees. After accounting for climate, residual variability in latewood growth was negatively correlated with earlywood growth, indicating a potential tradeoff between latewood versus earlywood growth. This study provides new insights that will assist the accurate prediction of woody biomass growth and forest carbon sequestration across a southwestern US precipitation gradient.

Indexed as

ForestsPinus ponderosaClimate ChangeSeasonsTemperatureBayesianDendrochronologyMemoryMonsoonPinus ponderosa

Identifiers

PMID35434770
OpenAlexW4223913097

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.