Evidence map›Paper›PMID 42435374›Full record

ArticleGlobal change biology2026

Climate Change Projected to Increase Rates of Background Tree Mortality Across Eastern North America.

Jiejie Wang, Anthony R Taylor, Mathieu Bouchard, Loïc D'Orangeville

Abstract read
In one paragraph

Article in Global change biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Jiejie WangFaculty of Forestry and Environmental Management, University of New Brunswick, Fredericton, New Brunswick, Canada.ORCID 0000-0003-0274-8699
Anthony R TaylorFaculty of Forestry and Environmental Management, University of New Brunswick, Fredericton, New Brunswick, Canada.ORCID 0000-0002-2122-6792
Mathieu BouchardDépartement des sciences du bois et de la forêt, Faculté de foresterie, de géographie et de géomatique, Université Laval, Québec, Quebec, Canada.ORCID 0000-0003-0261-3153
Loïc D'OrangevilleFaculty of Forestry and Environmental Management, University of New Brunswick, Fredericton, New Brunswick, Canada.

Funding

Contribution of the forest sector to the attenuation of the effects of climate change 308324Natural Resources CanadaNew Brunswick Innovation Foundations RIF 2019-029NSERC Discovery Grant RGPIN-2019-04353
6 · The paper itself

Abstract

Tree mortality patterns play a central role in forest health, terrestrial carbon dynamics, and biodiversity conservation. While changes in tree mortality patterns to recent climate anomalies have been documented, the effects of climate change on ambient or "background" mortality rates in the absence of severe disturbance agents remains poorly understood. Here, we applied a machine learning approach to a large dataset of 24,576 forest permanent sample plots distributed across Canada and the United States, spanning 28.1°C in mean annual temperature and 1743.5 mm in annual precipitation, to study and predict the effects of climate on background mortality for nine of the most abundant tree species in eastern North America. We developed species-specific climate-mortality models while controlling for the interactive effects of stand development processes, CO

Indexed as

Climate ChangeForestsTreesCanadaMachine LearningTemperatureUnited Statesbackground tree mortalityclimate changeeastern North Americaforest dynamicsmachine learningpermanent sample plots

Identifiers

PMID42435374
PMCPMC13355872

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.