rainfall erosivity data
Description
We hypothesized that: (1) Rainfall erosivity in the top three global karst regions exhibits significant spatial heterogeneity driven by atmospheric Circulation, topographic complexity; (2) human activities changes amplify erosivity variance in vulnerable karst area. The dataset comprises R-factor values (MJ·mm·ha⁻¹·h⁻¹·a⁻¹) for top three global karst regions, derived from 100-year (the interaction effect between elevation and human activities exerts a particularly significant influence on R in the EAKR1921-2020) high-resolution precipitation records. The data reveal:(a) Extreme erosivity hotspots: East Asian karst region (max=6975.7 MJ·mm·ha⁻¹·h⁻¹·a⁻¹)> Eastern United States karst region (avg=1791.4) > Mediterranean karst region(avg=1226.87); (b) the interaction effect between elevation and human activities exerts a particularly significant influence on Rainfall erosivity in the EAKR. The dataset identifies critical zones for soil erosion control. The global karst rainfall erosivity grid (1km resolution) is publicly accessible via [DOI: 10.17632/bs8zjxh3z8.1].
Files
Steps to reproduce
Rainfall erosivity data were calculated using the computational model developed by Professor Dongmei Shi, based on precipitation datasets provided by the Climatic Research Unit (CRU) at the University of East Anglia.
Institutions
- Guizhou Normal University