Evidence map›Paper›PMID 40630823›Full record

ArticleNational science review2025

Understory shrub diversity: equally vital as overstory tree diversity to promote forest productivity.

Chen Chen, Guoyong Yan, Bernhard Schmid, Yi Li, Franca J Bongers, Helge Bruelheide, Yuanyuan Huang, Shan Li, Goddert von Oheimb, Ting Tang and 4 more

Abstract read
In one paragraph

Article in National science review, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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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

14 authors.

Chen ChenState Key Laboratory of Forage Breeding-by-Design and Utilization, Key Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences, Beijing 100093, China.
Guoyong YanState Key Laboratory of Forage Breeding-by-Design and Utilization, Key Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences, Beijing 100093, China.
Bernhard SchmidRemote Sensing Laboratories, Department of Geography, University of Zurich, Zurich 8057, Switzerland.
Yi LiState Key Laboratory of Forage Breeding-by-Design and Utilization, Key Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences, Beijing 100093, China.
Franca J BongersCentre for Crop Systems Analysis, Wageningen University, Wageningen 6700 AK, Netherlands.
Helge BruelheideInstitute of Biology/Geobotany and Botanical Garden, Martin Luther University Halle-Wittenberg, Halle 06108, Germany.
Yuanyuan HuangGerman Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Leipzig 04103, Germany.
Shan LiState Key Laboratory of Forage Breeding-by-Design and Utilization, Key Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences, Beijing 100093, China.
Goddert von OheimbInstitute of General Ecology and Environmental Protection, TUD Dresden University of Technology, Tharandt 01737, Germany.
Ting TangState Key Laboratory of Forage Breeding-by-Design and Utilization, Key Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences, Beijing 100093, China.
Kris VerheyenForest & Nature Lab, Ghent University, Gontrode 9090, Belgium.
Bo YangSchool of Biological and Environmental Engineering, Jingdezhen University, Jingdezhen 333032, China.
Keping MaState Key Laboratory of Forage Breeding-by-Design and Utilization, Key Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences, Beijing 100093, China.ORCID https://orcid.org/0000-0001-9112-5340
Xiaojuan LiuState Key Laboratory of Forage Breeding-by-Design and Utilization, Key Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences, Beijing 100093, China.ORCID https://orcid.org/0000-0002-9292-4432

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Biodiversity-ecosystem functioning relationships have been extensively studied, particularly within the primary layers of producers in terrestrial ecosystems. In multilayer ecosystems such as forests, the contribution of diversity in the secondary layer, i.e. shrubs, to ecosystem functioning is still largely unknown. Here we used 11-year growth data from a forest biodiversity experiment with factorially crossed manipulations of tree and shrub species richness to assess their effects on forest productivity. We found that shrub species richness had positive effects on tree and total woody biomass (sum of tree and shrub biomass), with effect sizes similar in magnitude to those of tree species richness: increasing tree or shrub species richness from two to eight promoted tree biomass by 73.1% or 53.9% and total woody biomass by 46.7% or 37.1%, respectively. The positive effects of tree or shrub species richness on tree and total woody biomass became larger over time. Shrub biomass was reduced by tree species richness. The effects of tree and shrub species richness can be partially explained by their increased functional diversity. Our study provides the first evidence that understory diversity can significantly increase forest productivity and should not be neglected in forest restoration to promote ecosystem functioning.

Indexed as

biodiversity–ecosystem functioning (BEF)forest productivityfunctional diversityshrubspecies richnessstand age

Identifiers

PMID40630823
PMCPMC12236163

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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.