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A suite of global, cross-scale topographic variables for environmental and biodiversity modeling

G. Amatulli,S. Domisch,M. Tuanmu,B. Parmentier,Ajay Ranipeta,J. Malczyk,W. Jetz

Published 2018 in Scientific Data

ABSTRACT

Topographic variation underpins a myriad of patterns and processes in hydrology, climatology, geography and ecology and is key to understanding the variation of life on the planet. A fully standardized and global multivariate product of different terrain features has the potential to support many large-scale research applications, however to date, such datasets are unavailable. Here we used the digital elevation model products of global 250 m GMTED2010 and near-global 90 m SRTM4.1dev to derive a suite of topographic variables: elevation, slope, aspect, eastness, northness, roughness, terrain roughness index, topographic position index, vector ruggedness measure, profile/tangential curvature, first/second order partial derivative, and 10 geomorphological landform classes. We aggregated each variable to 1, 5, 10, 50 and 100 km spatial grains using several aggregation approaches. While a cross-correlation underlines the high similarity of many variables, a more detailed view in four mountain regions reveals local differences, as well as scale variations in the aggregated variables at different spatial grains. All newly-developed variables are available for download at Data Citation 1 and for download and visualization at http://www.earthenv.org/topography. Design Type(s) source-based data transformation objective Measurement Type(s) Topography Technology Type(s) computational modeling technique Factor Type(s) Sample Characteristic(s) Earth (Planet) • elevation • physiographic feature • slope • Cardinal Direction • curvature Design Type(s) source-based data transformation objective Measurement Type(s) Topography Technology Type(s) computational modeling technique Factor Type(s) Sample Characteristic(s) Earth (Planet) • elevation • physiographic feature • slope • Cardinal Direction • curvature Machine-accessible metadata file describing the reported data (ISA-Tab format)

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