Evidence map›Paper›PMID 42817720›Full record

ArticleGlobal change biology2026

Forest Densification and Pollution Rival Climate in Driving US Tree Demographic Change.

Matthew M Kling, P Alexander Burnham, Matthew P Dube, Brian J McGill, Bailey P McLaughlin, Stephanie N Miller, Timothy M Waring, Nicholas J Gotelli

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

8 authors.

Matthew M KlingDepartment of Biology and Gund Institute for Environment, University of Vermont, Burlington, Vermont, USA.ORCID https://orcid.org/0000-0001-9073-4240
P Alexander BurnhamDepartment of Biology, University of Vermont, Burlington, Vermont, USA.ORCID https://orcid.org/0000-0001-8233-3391
Matthew P DubeDepartment of Computer Information Systems, University of Maine at Augusta, Augusta, Maine, USA.ORCID https://orcid.org/0000-0002-7104-9982
Brian J McGillSchool of Biology and Ecology, Mitchell Center for Sustainability Solutions, University of Maine, Orono, Maine, USA.ORCID https://orcid.org/0000-0002-0850-1913
Bailey P McLaughlinSchool of Biology and Ecology, Mitchell Center for Sustainability Solutions, University of Maine, Orono, Maine, USA.ORCID https://orcid.org/0000-0001-9710-1470
Stephanie N MillerSchool of Biology and Ecology, Mitchell Center for Sustainability Solutions, University of Maine, Orono, Maine, USA.
Timothy M WaringSchool of Economics, Mitchell Center for Sustainability Solutions, University of Maine, Orono, Maine, USA.
Nicholas J GotelliDepartment of Biology and Gund Institute for Environment, University of Vermont, Burlington, Vermont, USA.ORCID https://orcid.org/0000-0002-5409-7456

Funding

National Science Foundation 2019470
6 · The paper itself

Abstract

Forests play critical roles in biodiversity, climate regulation, and human well-being, yet their responses to simultaneous environmental changes remain poorly understood. Across the United States, forest demographic rates are influenced by climate change, atmospheric pollution trends, and systematic changes in forest density. In spite of long-term interest in these facets of global change, their relative importance has not previously been quantified and compared. Here, we apply a framework that decomposes demographic trends into sensitivity (species' responsiveness to environmental variables) and exposure (magnitude of environmental change experienced). Using nationwide forest inventory data from 2002 to 2024, we analyzed how recruitment, growth, and mortality of 100 tree species responded to six environmental variables representing climate, pollution, and forest density. This analysis showed that, despite substantial research attention on climate impacts, changes in forest density and atmospheric pollutant deposition (particularly sulfur) showed stronger associations with all three demographic rates, driven by both higher exposure and greater sensitivity to these factors. We also found that, of the demographic processes, recruitment probability was the most sensitive to each of the six environmental drivers, emphasizing the importance of regeneration in shaping forest responses to global change. The results also document a general slowdown in forest dynamics over recent decades, with declining recruitment, growth, and mortality on average across the United States, albeit with substantial geographic and taxonomic variation. This comprehensive analysis provides a framework for understanding forest responses to complex environmental change, identifying the most influential drivers of demographic processes, and developing targeted conservation and management strategies in an era of rapid change.

Indexed as

Climate ChangeForestsTreesBiodiversityUnited Statesclimate changedemographydensity dependenceforest ecologygrowthmortalitypollutionrecruitment

Identifiers

PMID42817720
PMCPMC13628142

What OpenQuestion holds

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Registered trials

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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.