Effects of Altitude, Slope Aspect, and Soil Depth on Soil Properties and Herbaceous Root Distribution in Honghe Hani Rice Terraces.

Linlin Huang, Xuesen Zhang, Xin Wang, Ruihong Wang, Ruizhang Wang, Xiaoqin Zhang, Yingdu Sun

Abstract read

In one paragraph

Article in Plants (Basel, Switzerland), 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

7 authors.

Linlin HuangCollege of Civil Engineering and Architecture, China Three Gorges University, Yichang 443002, China.ORCID 0009-0000-6900-9618

Xuesen ZhangWater Conservancy and Hydropower Engineering Geological Investigation Consultation and Planning Institute in Honghe Hani and Yi Autonomous Prefecture, Mengzi 661199, China.

Xin WangCollege of Civil Engineering and Architecture, China Three Gorges University, Yichang 443002, China.

Ruihong WangCollege of Civil Engineering and Architecture, China Three Gorges University, Yichang 443002, China.

Ruizhang WangCollege of Civil Engineering and Architecture, China Three Gorges University, Yichang 443002, China.

Xiaoqin ZhangCollege of Civil Engineering and Architecture, China Three Gorges University, Yichang 443002, China.

Yingdu SunCollege of Civil Engineering and Architecture, China Three Gorges University, Yichang 443002, China.

Funding

National Natural Science Foundation of China 51979151Yunnan Provincial Water Resources Scienceand Technology Project 2024BC203007

6 · The paper itself

Abstract

To elucidate the elevational differentiation patterns of soil physical properties and nutrient contents within the Yuanyang Hani Terrace system and to clarify their influence on the spatial distribution of vegetation root systems, we systematically collected soil and root samples across varying elevations, slope aspects, and soil depths. A combination of soil physicochemical analyses, root distribution quantification, correlation analysis, and principal component analysis (PCA) was employed. The results indicated that soil bulk density exhibited a unimodal trend along the elevation gradient, initially decreasing and then increasing, with the following order: high-elevation sunny slope > high-elevation shady slope > low-elevation sunny slope > low-elevation shady slope > mid-elevation sunny slope > mid-elevation shady slope. The lowest bulk density values (1.10-1.17 g cm

Indexed as

elevation gradientroot distributionsoil physicochemical propertiesspatial heterogeneityterrace systems

Identifiers

PMID42514512

DOI10.3390/plants15142144

PMCPMC13414952

What OpenQuestion holds

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LicenceCC BY

Read underepoch 390

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.