Evidence map›Paper›PMID 41341304›Full record

ArticleFrontiers in plant science2025

Habitat-driven ecological strategies shape Chinese pine functional traits and rhizosphere metabolites in Qinling Mountains, China.

Hang Yang, Yue Pang, Haibin Kang, Yahui Song, Kunlin Hu, Yuchao Wang, Dexiang Wang

Abstract read
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Article in Frontiers in plant science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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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.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Hang YangCollege of Forestry, Northwest A&F University, Yangling, Shaanxi, China.
Yue PangCollege of Forestry, Hebei Agricultural University, Baoding, China.
Haibin KangCollege of Forestry, Northwest A&F University, Yangling, Shaanxi, China.
Yahui SongCollege of Forestry, Northwest A&F University, Yangling, Shaanxi, China.
Kunlin HuShangluo Qinling Ecological Protection Office, Shangluo, China.
Yuchao WangXi'an Botanical Garden of Shaanxi Province, Xi'an, China.
Dexiang WangCollege of Forestry, Northwest A&F University, Yangling, Shaanxi, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aims: Plant functional traits (PFTs) and rhizosphere soil metabolites (RSMs) play crucial roles in the connection between plants and soil environments, influencing plant ecological adaptation processes. However, the strategies and driving factors underlying their variation in different habitats are poorly understood. Methods: In this study, we investigated Results: The first principal component analysis (PCA) axis of the PFTs reflected trade-offs in traits linked to habitat: ridge habitat Chinese pine populations had high leaf dry matter content (LDMC) and fine root tissue density (FRTD) trait values that increased resource conservation, and slope habitat populations had high specific leaf area (SLA) and fine root specific root length (FRSRL) values that improved the efficiency of resource acquisition. The results of the metabolic pathway analysis of differential metabolites showed that in ridge habitats, adversity resistance-related metabolic pathways were significantly upregulated. Random forest model (RFM) analysis showed that the first PCA axis of PFTs and differential metabolites was significantly related to soil nitrogen and phosphorus content, indicating that soil nutrients are the primary factors driving the variation in Conclusions: Thus, the trade-offs between PFTs and the regulation of rhizosphere soil metabolism shape the population distribution of

Indexed as

different habitatsecological adaptation strategiesplant functional traitsP.tabuliformisrhizosphere soil metabolites

Identifiers

PMID41341304
PMCPMC12668977

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