Evidence map›Paper›PMID 40219050›Full record

ArticlePlants (Basel, Switzerland)2025

Predictable Overcompensation in Post-Thinning Stand Dynamics of Canadian Forests: A Synthesis.

Chao Li, Bernard Roitberg, Shongming Huang, Robert Lalonde

Abstract read
In one paragraph

Article in Plants (Basel, Switzerland), 2025. 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.

Chao LiCanadian Wood Fibre Centre, Canadian Forest Service, Edmonton, AB T6H 3S5, Canada.
Bernard RoitbergCanadian Wood Fibre Centre, Canadian Forest Service, Edmonton, AB T6H 3S5, Canada.ORCID 0000-0003-1248-093X
Shongming HuangAlberta Forestry and Park, Edmonton, AB T5M 3V9, Canada.
Robert LalondeDepartment of Biology, University of British Columbia, Okanagan, BC V1V 1V7, Canada.

Funding

Natural Resources Canada-Canadian Forest Service's Developing Sustainable Fibre Solutions Research Program no specific number
6 · The paper itself

Abstract

Most experiments on thinning effects are based upon short-term outcomes, which has led to a common conclusion that stand gross volume will be reduced after various thinning operations. However, contrary results are emerging from more recent long-term thinning experiments. The well-known biological concept of compensatory growth was introduced to reconcile these opposing results. This synthetic article describes a systematic investigation on overcompensation under the conceptual framework of compensatory growth and consists of the following: (1) empirical evidence of overcompensation in forests; (2) a theoretical proof of the possibility of emerging overcompensation using a life-history-theory based analytical tree adaptive growth (TAG) model; and (3) an empirical data-based tree compensatory growth (TreeCG) model that resembles the growth relationships from natural stands. Our results indicate that (1) overcompensation is an expected common phenomenon across different tree species and geographical regions, and (2) overcompensation can be predicted from at least two different mechanisms: optimal allocation of available energy to growth, reproduction, maintenance and reserves, and redistribution of freed resources from dead trees. Therefore, overcompensation is a predictable phenomenon, and forest managers can make SFM (Sustainable Forest Management) decisions based on their specific management goals. Research recommendations are suggested for next steps.

Indexed as

compensatory growthforest productivitygrowth and yieldovercompensationpre-commercial thinningTAGthinning theoryTreeCG

Identifiers

PMID40219050
PMCPMC11990495

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.