Using agent-based modelling to evaluate mitigation measures for moose-vehicle collisions

摘要: In northern countries, moose vehicle collisions (MVCs) are often associated with the presence of salt pools near highways. Mitigation measures such as designing compensation further away from highway and building fences along highways can be used. Fences very efficient in reducing MVCs, but wildlife passages required order to increase permeability. Agent-based modelling (ABM) was used study effect on movement behaviour roadside pool removal displacement estimate density underpasses fenced areas. ABM applied Highway 175 (Quebec) where an extensive telemetry dataset available. The rules were based cover food quality GIS forest polygons. Model had spatial memory (SPSM) and, most cases, road avoidance (RA) behaviour, opposing which number crossings investigated. Completely removing no resulted highest crossing reductions (by 79%). A conceptual framework also designed for investigating using ABM. current spacing is markedly larger than recommended allometric (i.e. home range size). objective assess impact distances Because lack data fences, probabilistic fuzzy-logic approaches proposed determine model moose. Once implemented, it anticipated that permeability will decreasing between passages, a plateau may observed once distance reached.