Jinchi Zhang

TL;DR: In this article, a landslide inventory was partitioned into three groups as various training and test datasets to identify the most appropriate method for creating a landslide susceptibility map, and a total of fifteen landslide susceptibility maps were produced using frequency ratio, logistic regression, decision tree, weights of evidence and artificial neural network models, and the results were assessed using existing test landside points and areas under the relative operative characteristic curve.

TL;DR: In this article, three mathematical methods, logistic regression (LR), bivariate statistical analysis (BS), and multivariate adaptive regression spline models (MARSplines), were used to create landslide susceptibility maps by comparing the past landslide distribution and the conditioning factor thematic maps.

TL;DR: In this article, the relative abundance of soil microbial communities and soil physicochemical properties following stand conversion from native broadleaf forests to mixed and bamboo forests in Feng yang Mountain Nature Reserve, China were assessed.

TL;DR: The results suggest that the ratio of SO42- to NO3- in acid rain is an important factor which could affect litter decomposition and soil microbial in subtropical forest of China.

TL;DR: In this paper, the integrated valuation of ecosystem services and trade-offs (InVEST) model was used to evaluate water yield, carbon storage, soil conservation, and water purification in the Chuan-Dian ecological shelter.