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Related Experiment Video

Updated: Nov 10, 2025

Use of Principal Components for Scaling Up Topographic Models to Map Soil Redistribution and Soil Organic Carbon

Use of Principal Components for Scaling Up Topographic Models to Map Soil Redistribution and Soil Organic Carbon

Published on: October 16, 2018

Soil erosion modelling: A bibliometric analysis.

Nejc Bezak¹, Matjaž Mikoš¹, Pasquale Borrelli²

¹University of Ljubljana, Faculty of Civil and Geodetic Engineering, Ljubljana, Slovenia.

Environmental Research

|April 2, 2021

Summary

This summary is machine-generated.

Soil erosion modeling research is best predicted by the chosen model and scale, not calibration. Comprehensive reviews and focusing on field measurements can enhance future soil erosion studies.

Keywords:

Citation analysis Participatory network Research impact Soil erosion modelling Systematic literature review

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Published on: January 7, 2019

Area of Science:

Environmental Science
Agricultural Science
Geoscience

Background:

Soil erosion poses a significant threat to agriculture, impacting soil, nutrient, and carbon loss.
Soil erosion modeling is crucial for developing protection strategies and identifying hotspots.
Bibliometric analysis can reveal research patterns and enhance soil erosion modeling studies.

Purpose of the Study:

To conduct a bibliometric analysis of soil erosion modeling research.
To investigate research patterns, collaboration networks, and citation characteristics.
To identify factors influencing the impact and enhancement of soil erosion modeling research.

Main Methods:

Utilized the Global Applications of Soil Erosion Modelling Tracker (GASEMT) database.
Employed Generalized Boosted Regression Tree (BRT) modeling to identify key variables.
Analyzed and visualized bibliometric networks, including collaboration and citation patterns.

Main Results:

The choice of soil erosion model and modeling scale significantly impacts publication citations.
Publication CiteScore also influences citation count, while calibration and validation have less impact.
Bibliographic coupling and citation networks exhibit a continental pattern, unlike co-authorship networks.

Conclusions:

Soil erosion modellers should broaden their review scope beyond regional studies.
Greater emphasis on field measurements, calibration, performance, and uncertainty is recommended.
The study provides a benchmark for evaluating the influence of soil erosion modeling research papers.