Evidence map›Paper›PMID 41640396›Full record

ArticleEcology and evolution2026

Root Traits Predict the Soil Functional Responses of Subtropical Plant Species to Experimental Drought.

Lei Wang, Zewei Zhuang, Zheyang Su, Wenbin Li, Qizhi Wang, Xinfeng Chen, Ruiling Liu, Haoliang Lu, Yuxin Chen

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. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Article
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

9 authors.

Lei WangKey Laboratory of the Ministry of Education for Coastal and Wetland Ecosystems, College of the Environment & Ecology Xiamen University Xiamen China.
Zewei ZhuangKey Laboratory of the Ministry of Education for Coastal and Wetland Ecosystems, College of the Environment & Ecology Xiamen University Xiamen China.
Zheyang SuKey Laboratory of the Ministry of Education for Coastal and Wetland Ecosystems, College of the Environment & Ecology Xiamen University Xiamen China.
Wenbin LiKey Laboratory of the Ministry of Education for Coastal and Wetland Ecosystems, College of the Environment & Ecology Xiamen University Xiamen China.ORCID https://orcid.org/0000-0003-2474-5595
Qizhi WangKey Laboratory of the Ministry of Education for Coastal and Wetland Ecosystems, College of the Environment & Ecology Xiamen University Xiamen China.
Xinfeng ChenKey Laboratory of the Ministry of Education for Coastal and Wetland Ecosystems, College of the Environment & Ecology Xiamen University Xiamen China.
Ruiling LiuKey Laboratory of the Ministry of Education for Coastal and Wetland Ecosystems, College of the Environment & Ecology Xiamen University Xiamen China.
Haoliang LuKey Laboratory of the Ministry of Education for Coastal and Wetland Ecosystems, College of the Environment & Ecology Xiamen University Xiamen China.
Yuxin ChenKey Laboratory of the Ministry of Education for Coastal and Wetland Ecosystems, College of the Environment & Ecology Xiamen University Xiamen China.ORCID https://orcid.org/0000-0003-0658-7562

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Substantial interspecific variation in both drought responses and soil functioning among woody species poses significant challenges for predicting drought impacts on soil functioning in species-rich tropical and subtropical forests. However, critical knowledge gaps remain regarding how soil functions respond to drought across different plant species. We conducted a three-phase (10 months of well-watered conditions, 1 month of drought treatment, and 2 months of rewetting) seedling experiment to assess how drought impacts on eight rhizosphere soil functions related to carbon, nitrogen, and phosphorus cycling vary across 10 woody species. We tested whether plant species' preferences to arid versus moist habitats and functional traits could predict variation in the resistance and recovery of soil functions to drought. We found that soil functions of species adapted to the arid habitat or those possessing stronger drought-tolerant traits (e.g., lower leaf water potential at turgor loss point) showed comparable resistance to their counterparts. Species with lower root N:P ratios and root non-structural carbon concentrations consistently recovered faster in all four measured soil enzyme activities. Our results demonstrate that root chemical traits, particularly root N:P ratios and root non-structural carbon concentrations, strongly predict soil enzyme activity recovery from drought. These findings significantly improve our understanding and prediction of drought impacts on soil functioning in species-rich forests.

Indexed as

droughthabitatplant traitrecoveryresistancesoil function

Identifiers

PMID41640396
PMCPMC12865509

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LicenceCC BY
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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.