Evidence map›Paper›PMID 38165844›Full record

ArticlePloS one2024

Spatial differentiation of soil nutrients and their ecological chemometrics based on geographic detector in National Agricultural Park of Tangchang, Southwest China.

Jiufen Liu, Cang Gong, Shunxiang Wang, Liang Wang, Changhai Tan, Lang Wen, Haichuan Lu

Abstract read
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Article in PloS one, 2024. 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.

2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Jiufen LiuChina University of Geosciences, Beijing, China.
Cang GongKey Laboratory of Natural Resource Coupling Process and Effects, Beijing, China.ORCID 0000-0001-8423-0927
Shunxiang WangKey Laboratory of Natural Resource Coupling Process and Effects, Beijing, China.
Liang WangResearch Center of Applied Geology of China Geological Survey, Chengdu, Sichuan, China.
Changhai TanKey Laboratory of Natural Resource Coupling Process and Effects, Beijing, China.
Lang WenKey Laboratory of Natural Resource Coupling Process and Effects, Beijing, China.
Haichuan LuKey Laboratory of Natural Resource Coupling Process and Effects, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In order to analyze the spatial variability of soil nutrients and their ecological chemometrics in Tangchang Town, National Agricultural Park, 20 influencing factors were selected: soil pH, Cd, Hg, As, Cu, Pb, Cr, Zn, Ni, Se, elevation, slope, aspect, land use type, distance from industrial land, distance from commercial land, distance from railway, distance from residential area, distance from highway and distance from river. The effects of various influencing factors on the spatial variability of total organic carbon (TOC), total nitrogen (N), total phosphorus (P), total potassium (K) and ecological stoichiometry were analyzed by means of geographic detector. The results showed that average contents of soil TOC, N, P and K in the study area are 10.24 g kg-1, 1.33 g kg-1, 1.14 g kg-1 and 23.60 g kg-1, respectively, and there were significant differences in the spatial distribution of soil nutrients and their eco-stoichiometry in the study area, and TOC, N, P, K, C/N, C/P, C/K, N/P, N/K and P/K has a significant correlation with each other and most correlation coefficients are above 0.5 or below -0.5. Factor detection showed that soil properties, distance from railway and distance from residential area had the most significant explanatory power to the spatial heterogeneity of soil nutrients and eco-stoichiometry. Interaction detection showed that the interaction between soil properties with other factors was the most important factor affecting the spatial differentiation of soil nutrients and their ecological chemometrics, and elevation, distance from railway and distance from residential area were also important factors. Risk detection showed that the differences of soil nutrients and their ecological stoichiometry were most significant in the subregions of soil properties (pH, Cd, Hg, As, Cu, Pb, Cr, Zn, Ni and Se).

Indexed as

MercuryMetals, HeavySoil PollutantsCadmiumChemometricsChinaEnvironmental MonitoringLeadNutrientsRisk AssessmentSoilCadmiumLeadMercuryMetals, HeavyNutrientsSoilSoil Pollutants

Identifiers

PMID38165844
PMCPMC10760752

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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.