Topographic ruggedness has been examined in thousands of ecological studies and is a popular variable for characterizing habitat selection. Despite widespread adoption, ruggedness metrics are often applied uncritically and require systematic and thorough testing using both arti cial landscapes and real-world applications.
ObjectivesIn this paper we introduce a technique that removes the correlation of topographic ruggedness with curvature in order to more accurately represent ne-scale surface ruggedness.
MethodsWe test our modi ed version of several ruggedness metrics against traditional ruggedness metrics using three ideal ruggedness criteria in arti cial landscapes. We further tested our modi ed ruggedness measures using 449 real mountain ranges in Nevada, USA. Using desert bighorn sheep as a case study, we tested both modi ed and uncorrected ruggedness measures and slope in a multiscale context in order to examine habitat selection by female bighorn sheep.
ResultsThe modi ed versions of the metrics passed all three criteria of the ideal ruggedness test and was able to accurately capture surface ruggedness. Modi ed versions of ruggedness differed from uncorrected versions by containing fewer highly rugged cells along ridgelines and drainages. Habitat relationships of desert bighorn sheep with ruggedness were scale-dependent, such that female sheep selected for steep slopes at ne spatial scales and ruggedness at moderate spatial scales.
ConclusionsWe demonstrate that there are three components to ruggedness: elevation variation, aspect diversity, and surface ruggedness representing rst, second, and third generation ruggedness indices. Our technique for removing underlying topographic variation provides an improved mapping of surface ruggedness and augments the other two generations of ruggedness metrics.