Evidence map›Paper›PMID 41068570›Full record

ArticleBMC plant biology2025

Shrub mitigate the negative impacts of drought on the ecological adaptability of Syntrichia caninervis in the desert regions of Northwest China.

Shujun Zhang, Ao Yang, Benfeng Yin, Qing Zhang, Xinyu Zhang, Xiaobing Zhou, Jin Chen, Ruilin Chen, Jing Zhang, Yuanming Zhang

Abstract read
In one paragraph

Article in BMC plant biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

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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

10 authors.

Shujun ZhangState Key Laboratory of Ecological Safety and Sustainable Development in Arid Lands, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi Xinjiang, 830011, China.
Ao YangState Key Laboratory of Ecological Safety and Sustainable Development in Arid Lands, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi Xinjiang, 830011, China.
Benfeng YinState Key Laboratory of Ecological Safety and Sustainable Development in Arid Lands, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi Xinjiang, 830011, China. yinbf@ms.xjb.ac.cn.
Qing ZhangState Key Laboratory of Ecological Safety and Sustainable Development in Arid Lands, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi Xinjiang, 830011, China.
Xinyu ZhangCollege of Biological Science, University of California Davis, 1 Shields Ave, 95616, Davis, CA, US.
Xiaobing ZhouState Key Laboratory of Ecological Safety and Sustainable Development in Arid Lands, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi Xinjiang, 830011, China.
Jin ChenState Key Laboratory of Remote Sensing Science, Faculty of Geographical Science, Beijing Normal University, Beijing, 100875, China.
Ruilin ChenState Key Laboratory of Remote Sensing Science, Faculty of Geographical Science, Beijing Normal University, Beijing, 100875, China.
Jing ZhangState Key Laboratory of Ecological Safety and Sustainable Development in Arid Lands, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi Xinjiang, 830011, China.
Yuanming ZhangState Key Laboratory of Ecological Safety and Sustainable Development in Arid Lands, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi Xinjiang, 830011, China.

Funding

Leading Talents in Sci-Technological Innovation Project of the "Tianshan Talent" Training Plan of Xinjiang Uygur Autonomous Region 2022TSYCLJ0058National Natural Science Foundation of China 42471073Natural Science Foundation of Xinjiang Uygur Autonomous Region 2022D01D083Science and Technology Major Program of Xinjiang Uygur Autonomous Region 2023A01002-1
6 · The paper itself

Abstract

backgroundSyntrichia caninervis, a representative stress-tolerant moss, thrives under extreme conditions such as extreme temperatures, drought, and intense radiation, making it a top candidate for extraterrestrial colonization. However, whether the ecological adaptation traits of S. caninervis are consistent across different distribution areas and microhabitats and the interactive relationships among functional traits remain unclear. This study employed a plant trait network (PTN) approach to examine the relationships among 25 functional traits of S. caninervis within and outside shrub habitats to assess its ecological adaptability in temperate desert.

resultShrub microhabitats increased the biomass, leaf morphology, and photosynthetic efficiency of S. caninervis by improving the local hydrothermal environment while reducing the physiological stress response. The trait network of S. caninervis under shrub presented a relatively high edge density and average clustering coefficient and relatively low network diameter, average path length, and degree of modularity. These findings suggest that shrubs enhance trait network connectivity and functional collaboration of S. caninervis, effectively mitigating drought stress and optimizing resource utilization efficiency. Central trait analysis revealed that, under shrub conditions, Fv/Fm and soluble sugars were central traits, whereas exposed area, Fv/Fm and POD were central traits. As precipitation decreased and temperature increased, the leaf area and photosynthetic activity of S. caninervis initially tended to increase but then decreased. Simultaneously, its trait network connectivity strengthened, with both modularity and local tightness gradually increasing, reflecting its adaptation to drought and high-temperature stress through trait synergy and functional modular specialization. Structural equation modeling (SEM) analysis revealed that climate dominated the ecological adaptability of S. caninervis through both direct and indirect pathways, whereas shrubs significantly alleviated the negative impacts of drought stress by improving hydrothermal conditions. This study not only reveals the physiological adaptation strategies of moss species in extreme environments but also provides new insights into the adaptive mechanisms of moss species in desert ecosystems.

Indexed as

Adaptation, PhysiologicalBryopsidaDroughtsChinaDesert ClimateEcosystemPhotosynthesisPlant LeavesStress, PhysiologicalBiological soil crustEcological adaptabilityMicrohabitatsTemperate desertTrait network

Identifiers

PMID41068570
PMCPMC12512370

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.