Data from: Very high resolution digital elevation models: are multi-scale derived variables ecologically relevant? ...

Digital Elevation Models (DEMs) are often used in landscape ecology to retrieve elevation or first derivative terrain attributes such as slope or aspect in the context of species distribution modelling. However, DEM-derived variables are scale-dependent and, given the increasing availability of very high resolution (VHR) DEMs, their ecological relevance must be assessed for different spatial resolutions. In a study area located in the Swiss Western Alps, we computed VHR DEMs-derived variables related to morphometry, hydrology and solar radiation. Based on an original spatial resolution of 0.5 meters, we generated DEM-derived variables at 1m, 2m and 4m spatial resolutions, applying a Gaussian Pyramid. Their associations with local climatic factors, measured by sensors (direct and ambient air temperature, air humidity and soil moisture) as well as ecological indicators derived from species composition, were assessed with multivariate Generalized Linear Models (GLM) and Mixed Models (GLMM). Specific VHR ... : Data from "Very high resolution digital elevation models: are multi-scale derived variables ecologically relevant?"This archive contains the original data from the Digital Elevation Model (DEM) and the measurements of Soil Moisture, Direct Temperature, Ambient Temperature, Ambient Humidity and Landolt Factors used in for the paper. The archive also contains the original R script of the multivariate models.Data - Kevin Leempoel.zip ...