Analysis of factors controlling soil phosphorus loss with surface runoff in Huihe National Nature Reserve by principal component and path analysis methods.

Jing He, Derong Su, Shihai Lv, Zhaoyan Diao, He Bu, Qiang Wo

Abstract read

In one paragraph

Article in Environmental science and pollution research international, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed

–field-weighted citation impact

1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

Transport of colloidal phosphorus in runoff and sediment on sloping farmland in the purple soil area of south-western China.Environmental science and pollution research international · 2019
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

6 authors.

Jing HeGrassland Resources and Ecology Research Center, Beijing Forestry University, Beijing, 100083, China.

Derong SuGrassland Resources and Ecology Research Center, Beijing Forestry University, Beijing, 100083, China. suderong@bjfu.edu.cn.

Shihai LvState Environmental Protection Key Laboratory of Regional Eco-process and Function Assessment, Chinese Research Academy of Environmental Sciences, Beijing, 100012, China.

Zhaoyan DiaoState Environmental Protection Key Laboratory of Regional Eco-process and Function Assessment, Chinese Research Academy of Environmental Sciences, Beijing, 100012, China.

He BuHuihe National Nature Reserve Authority in Inner Mongolia, Hailar, 021199, China.

Qiang WoHuihe National Nature Reserve Authority in Inner Mongolia, Hailar, 021199, China.

Funding

Specific Research on Public Service of Environmental Protection in China No. 201509040

6 · The paper itself

Abstract

Phosphorus (P) loss with surface runoff accounts for the P input to and acceleration of eutrophication of the freshwater. Many studies have focused on factors affecting P loss with surface runoff from soils, but rarely on the relationship among these factors. In the present study, rainfall simulation on P loss with surface runoff was conducted in Huihe National Nature Reserve, in Hulunbeier grassland, China, and the relationships between P loss with surface runoff, soil properties, and rainfall conditions were examined. Principal component analysis and path analysis were used to analyze the direct and indirect effects on P loss with surface runoff. The results showed that P loss with surface runoff was closely correlated with soil electrical conductivity, soil pH, soil Olsen P, soil total nitrogen (TN), soil total phosphorus (TP), and soil organic carbon (SOC). The main driving factors which influenced P loss with surface runoff were soil TN, soil pH, soil Olsen P, and soil water content. Path analysis and determination coefficient analysis indicated that the standard multiple regression equation for P loss with surface runoff and each main factor was Y = 7.429 - 0.439 soil TN - 6.834 soil pH + 1.721 soil Olsen-P + 0.183 soil water content (r = 0.487, p < 0.01, n = 180). Soil TN, soil pH, soil Olsen P, and soil water content and the interactions between them were the main factors affecting P loss with surface runoff. The effect of physical and chemical properties of undisturbed soils on P loss with surface runoff was discussed, and the soil water content and soil Olsen P were strongly positive influences on the P loss with surface runoff.

Indexed as

Conservation of Water ResourcesWater MovementsChinaEutrophicationFresh WaterModels, TheoreticalNitrogenPhosphorusPrincipal Component AnalysisRainSoilWater Pollutants, ChemicalNitrogenPhosphorusSoilWater Pollutants, ChemicalDetermination coefficientHuihe National Nature ReservePath analysisPhosphorus lossPrincipal component analysisSurface runoff

Identifiers

PMID29124634

DOI10.1007/s11356-017-0570-5

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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.