Evidence map›Paper›PMID 34737435›Full record

ArticleNature ecology & evolution2021

Functional diversity effects on productivity increase with age in a forest biodiversity experiment.

Franca J Bongers, Bernhard Schmid, Helge Bruelheide, Frans Bongers, Shan Li, Goddert von Oheimb, Yin Li, Anpeng Cheng, Keping Ma, Xiaojuan Liu

Abstract read
PubMed Publisher
In one paragraph

Article in Nature ecology & evolution, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
52citing papers in PubMed, 1 pooled it
–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

52 citing papers in PubMed, 1 synthesis or guideline pooled it.

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  15. Forest biodiversity increases productivity via complementarity from greater canopy structural complexity.Proceedings of the National Academy of Sciences of the United States of America · 2025
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors.

Franca J BongersState Key Laboratory of Vegetation and Environmental Change, Institute of Botany, The Chinese Academy of Sciences, Beijing, China.ORCID http://orcid.org/0000-0001-9517-4932
Bernhard SchmidDepartment of Geography, Remote Sensing Laboratories, University of Zurich, Zurich, Switzerland.ORCID http://orcid.org/0000-0002-8430-3214
Helge BruelheideInstitute of Biology, Martin Luther University Halle-Wittenberg, Halle, Germany.ORCID http://orcid.org/0000-0003-3135-0356
Frans BongersForest Ecology and Forest Management Group, Wageningen University and Research, Wageningen, the Netherlands.ORCID http://orcid.org/0000-0002-8431-6189
Shan LiState Key Laboratory of Vegetation and Environmental Change, Institute of Botany, The Chinese Academy of Sciences, Beijing, China.ORCID http://orcid.org/0000-0002-5294-2249
Goddert von OheimbGerman Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Leipzig, Germany.ORCID http://orcid.org/0000-0001-7408-425X
Yin LiFujian Provincial Key Laboratory of Resources and Environmental Monitoring and Sustainable Management and Utilization, Sanming University, Sanming, China.
Anpeng ChengState Key Laboratory of Vegetation and Environmental Change, Institute of Botany, The Chinese Academy of Sciences, Beijing, China.
Keping MaState Key Laboratory of Vegetation and Environmental Change, Institute of Botany, The Chinese Academy of Sciences, Beijing, China. kpma@ibcas.ac.cn.ORCID http://orcid.org/0000-0001-9112-5340
Xiaojuan LiuState Key Laboratory of Vegetation and Environmental Change, Institute of Botany, The Chinese Academy of Sciences, Beijing, China. liuxiaojuan06@ibcas.ac.cn.ORCID http://orcid.org/0000-0002-9292-4432

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Forest restoration increases global forest area and ecosystem services such as primary productivity and carbon storage. How tree species functional composition impacts the provisioning of these services as forests develop is sparsely studied. We used 10-year data from 478 plots with 191,200 trees in a forest biodiversity experiment in subtropical China to assess the relationship between community productivity and community-weighted mean (CWM) or functional diversity (FD) values of 38 functional traits. We found that effects of FD values on productivity became larger than effects of CWM values after 7 years of forest development and that the FD values also became more reliable predictors of productivity than the CWM values. In contrast to CWM, FD values consistently increased productivity across ten different species-pool subsets. Our results imply that to promote productivity in the long term it is imperative for forest restoration projects to plant multispecies communities with large functional diversity.

Indexed as

EcosystemForestsBiodiversityChinaTrees

Identifiers

PMID34737435

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.