Evidence map›Paper›PMID 42510678›Full record

ArticleBiology2026

Land-Use Types Regulate Microbial Carbon-Use Efficiency Through Stoichiometric Balance and Resource Limitation in Coastal Saline-Alkaline Soils of the Yellow River Delta.

Haidong Xu, Hongyang Jing, Jianni Sun, Haifei Lu, Rongjia Wang, Qun Gao, Guai Xie, Yiming Wang, Ling Peng

Abstract read
In one paragraph

Article in Biology, 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

9 authors.

Haidong XuShandong Key Laboratory of Eco-Environmental Science for the Yellow River Delta, Shandong University of Aeronautics, Binzhou 256603, China.
Hongyang JingShandong Key Laboratory of Eco-Environmental Science for the Yellow River Delta, Shandong University of Aeronautics, Binzhou 256603, China.
Jianni SunShandong Key Laboratory of Eco-Environmental Science for the Yellow River Delta, Shandong University of Aeronautics, Binzhou 256603, China.
Haifei LuDepartment of Landscape Architecture, Zhejiang Shuren University, Hangzhou 310015, China.ORCID 0009-0005-1059-1806
Rongjia WangCollege of Forestry and Biotechnology, Zhejiang A&F University, Hangzhou 311300, China.ORCID 0000-0001-7399-4921
Qun GaoShandong Society of Soil and Water Conservation, Jinan 250013, China.
Guai XieJiangxi Academy of Forestry, Nanchang 330032, China.
Yiming WangJiangxi Academy of Forestry, Nanchang 330032, China.
Ling PengShandong Key Laboratory of Eco-Environmental Science for the Yellow River Delta, Shandong University of Aeronautics, Binzhou 256603, China.

Funding

Department of Education Shandong Province 2025KJG036Shandong Academy of Sciences 202510449030Shandong Academy of Sciences ZR2023QC070
6 · The paper itself

Abstract

Coastal saline-alkaline land has considerable potential for soil carbon sequestration, but how different land-use types affect microbial resource limitation and carbon-use efficiency (CUE) in coastal saline-alkaline soils remains unclear. Four representative land-use types, namely bare land (BL), wetland (WL), grassland (GL), and forest land (FL), were investigated in the coastal saline-alkaline soils of the Yellow River Delta. Soil physicochemical properties, microbial biomass, and extracellular enzyme activities were measured, and ecoenzymatic stoichiometry, microbial resource limitation, and CUE were subsequently calculated. Compared with BL, vegetated land-use types decreased electrical conductivity by 52.1-95.8%, while soil water content, soil nutrient indicators, and microbial biomass indicators increased by 47.1-77.5%, 2.6-136.8%, and 2.2-274.4%, respectively. WL was mainly phosphorus-limited, whereas BL, GL, and FL were primarily nitrogen-limited. Despite relatively high soil organic carbon and nutrient availability, GL showed the strongest N limitation and was the only land-use type showing C limitation. Model-estimated CUE ranged from 0.544 to 0.579 and followed the order FL > BL > WL > GL. Random forest analysis showed that soil physicochemical properties contributed most to CUE variation (42.9%). Structural equation modeling further indicated that soil physicochemical properties were indirectly associated with CUE, mainly through stoichiometric characteristics and microbial resource limitation, showing positive and negative associations, respectively. These findings provide microbial evidence for optimizing land-use patterns, vegetation restoration, and carbon-oriented ecological restoration in coastal saline-alkaline land.

Indexed as

coastal saline–alkaline soilecoenzymatic stoichiometryland-use typesmicrobial carbon-use efficiencymicrobial resource limitation

Identifiers

PMID42510678
PMCPMC13404933

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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.