Michael Maerker

TL;DR: In this paper, the spatial distribution of gully erosion was assessed using a statistical approach, which used three variables (stream power index, slope, and flow accumulation) to predict the spatio-temporal distribution of gullies in the study area.

TL;DR: In this article, a review of >590 scientific articles and policy documents is presented to assess and simulate gully erosion and its impacts at regional to continental scales, and a series of recommendations for further research and policy development are provided.

TL;DR: In this paper, a model building strategy is proposed to assess the susceptibility for extreme climatic events driven shallow landslides, consisting in training a susceptibility model in a source catchment, which was implemented by applying the binary logistic regression technique, and exporting its predicting function (selected predictors regressed coefficients) in a target catchment to predict its landslide distribution.

TL;DR: In this article, the authors investigated the impact of the number of authors, the publication type and the selected journal on the citation count of soil erosion modeling research papers and found that the selection of the soil erosion model has the largest impact on the publication citations, followed by the modelling scale and the publication's CiteScore.

TL;DR: In this article, a detailed terrain analysis and a stochastic modeling approach using mechanical statistics were used to predict the potential spatial distribution of gullies in the Mazayejan plain of Fars province in southwestern Iran where gully erosion is the main environmental threat.