Stand structural attributes exert stronger and scale-dependent control on forest biomass than tree diversity across typical forest ecosystems in China.

Yonghong Zhang, Honglin He, Liang Shi, Josep Peñuelas, Jordi Sardans, Yijing Bai, Chenxi Li, Jiuying Pei

Abstract read

In one paragraph

Article in Plant diversity, 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.

Yonghong ZhangState Key Laboratory of Grassland Agro-ecosystems, College of Ecology, Lanzhou University, Lanzhou 730000, China.

Honglin HeKey Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China.

Liang ShiKey Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China.

Josep PeñuelasGlobal Ecology Unit CREAF-CSIC-UAB, CREAF, Bellaterra 08193, Spain.

Jordi SardansGlobal Ecology Unit CREAF-CSIC-UAB, CREAF, Bellaterra 08193, Spain.

Yijing BaiState Key Laboratory of Grassland Agro-ecosystems, College of Ecology, Lanzhou University, Lanzhou 730000, China.

Chenxi LiKey Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China.

Jiuying PeiState Key Laboratory of Grassland Agro-ecosystems, College of Ecology, Lanzhou University, Lanzhou 730000, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Understanding how biodiversity-ecosystem functioning (BEF) relationships scale spatially and temporally remains critical under global change. Here, using continuous monitoring databases across temperate, subtropical and tropical natural forests in China from 2004 to 2020, we quantified multiscale tree diversity-biomass dynamics. Linear mixed-effect and structural equation models were used to further disentangle the direct and indirect pathways through which tree diversity influences forest biomass at different scales. The results revealed significant positive linear relationships between tree species richness and stand biomass at 1200 and 400 m

Indexed as

BiomassForest ecosystemSpatial scaleSpecies richnessStand structureSuccession

Identifiers

PMID42282470

DOI10.1016/j.pld.2026.01.001

PMCPMC13250301

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LicenceCC BY-NC-ND

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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.