Evidence map›Paper›PMID 42725324›Full record

ArticleEcology and evolution2026

The Mean Temperature of the Coldest Season is the Main Factor Influencing the Relationship Between Biodiversity and Biomass in the Desert Shrubland of Western Inner Mongolia.

Zijing Li, Rui Jiao, Zhiyong Li, Cunzhu Liang, Tiejun Liu, Wentao Liang, Zhenhua Han, Kaixuan Li, Yanfei Zhang, Yaru Feng and 1 more

Abstract read
In one paragraph

Article in Ecology and evolution, 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

11 authors.

Zijing LiYinshanbeilu Grassland Eco-Hydrology National Observation and Research Station China Institute of Water Resources and Hydropower Research Beijing People's Republic of China.ORCID https://orcid.org/0000-0001-9882-0047
Rui JiaoYinshanbeilu Grassland Eco-Hydrology National Observation and Research Station China Institute of Water Resources and Hydropower Research Beijing People's Republic of China.
Zhiyong LiSchool of Ecology and Environment Inner Mongolia University Hohhot People's Republic of China.ORCID https://orcid.org/0000-0003-3620-4286
Cunzhu LiangSchool of Ecology and Environment Inner Mongolia University Hohhot People's Republic of China.
Tiejun LiuYinshanbeilu Grassland Eco-Hydrology National Observation and Research Station China Institute of Water Resources and Hydropower Research Beijing People's Republic of China.
Wentao LiangYinshanbeilu Grassland Eco-Hydrology National Observation and Research Station China Institute of Water Resources and Hydropower Research Beijing People's Republic of China.
Zhenhua HanYinshanbeilu Grassland Eco-Hydrology National Observation and Research Station China Institute of Water Resources and Hydropower Research Beijing People's Republic of China.
Kaixuan LiYinshanbeilu Grassland Eco-Hydrology National Observation and Research Station China Institute of Water Resources and Hydropower Research Beijing People's Republic of China.
Yanfei ZhangYinshanbeilu Grassland Eco-Hydrology National Observation and Research Station China Institute of Water Resources and Hydropower Research Beijing People's Republic of China.
Yaru FengYinshanbeilu Grassland Eco-Hydrology National Observation and Research Station China Institute of Water Resources and Hydropower Research Beijing People's Republic of China.
Guoyong WangInner Mongolia Research Institute, China University of Mining and Technology (Beijing) Ordos People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The biodiversity-ecosystem functioning (BEF) relationship has been a central focus in ecology, yet its nature and strength remain contentious. In natural ecosystems, these relationships are modulated by a suite of abiotic (e.g., climate, soil) and biotic (e.g., community composition) factors, and often result in complex and context-dependent patterns. This study investigated xerophytic shrub ecosystems in western Inner Mongolia. We used Random Forest models to identify the key environmental drivers of biodiversity and community biomass. Based on these findings, Structural Equation Modeling was applied to disentangle the direct and indirect effects of environmental factors on biodiversity, biomass, and their relationship. Results showed that climatic factors are the primary drivers of community biomass, with the mean temperature of the coldest season being the key limiting climatic factor. Shrub species richness was primarily influenced by shrub density, followed by soil total carbon content. Species richness showed no significant direct effect on biomass. Instead, the mean temperature of the coldest season and soil pH directly determined shrub biomass, thereby modulating the observed BEF relationship. These findings extend BEF theory to natural ecosystems and underscore the role of winter temperature as a key driver of community biomass, with implications for predicting ecosystem responses to climate change.

Indexed as

ariditycommunity biomasssoil physicochemical propertiesspecies richnessxerophytic shrub

Identifiers

PMID42725324
PMCPMC13561634

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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.