Simulating animal movements to predict wildlife-vehicle collisions: illustrating an application of the novel R package SiMRiv

• Published in: European journal of wildlife research Vol. 65; no. 6; pp. 1 - 12
• Main Authors: Quaglietta, Lorenzo, Porto, Miguel, Ford, Adam T.
• Format: Journal Article
• Language: English
• Published: Berlin/Heidelberg Springer Berlin Heidelberg 01.12.2019; Springer Nature B.V
• Subjects: accidents; Animal models; Biomedical and Life Sciences; Computer simulation; computer software; Dependence; Ecology; Fish & Wildlife Biology & Management; Heterogeneity; humans; Infrastructure; Landscape; landscapes; Life Sciences; Lutra lutra; Mathematical models; mortality; Movement ecology; Original Article; Otters; prediction; Predictions; Risk; Road Ecology; road kills; roads; Roads & highways; simulation models; Wildlife; Wildlife management; Zoology; Resistance; Individual-based mechanistic movement simulation models; Movement ecology; Landscape connectivity; Road-kill hotspots; Road ecology

In conservation, there is a high demand for methods to predict how animals respond to human infrastructure, such as estimating the location of road mortalities and evaluating the effectiveness of mitigation measures. Computer-based simulation models have emerged as an important tool in understanding...