1 Department of Geography, Planning and Environment, Concordia University Montreal, 1455 de Maisonneuve Blvd. West, Suite H1255, Montréal, Québec, H3G 1M8, Canada.
2 Road and Railroad Ecology Research Group (NERF-UFRGS), Federal University of Rio Grande do Sul, Av. Bento Gonçalves, 9500, Porto Alegre, RS, CEP 91501-970, Brazil.
3 Ecology Graduate Program, Federal University of Rio Grande do Sul, Av. Bento Gonçalves, 9500, Porto Alegre, RS, CEP 91501-970, Brazil.
4 Loyola Sustainability Research Centre, Concordia University Montreal, 7141 Sherbrooke St. West, Montréal, Québec, H4B 1R6, Canada.

An adaptive plan for prioritizing road sections for fencing to reduce animal mortality.

Conserv Biol. 2020 Mar 30;:

Authors: Spanowicz AG, Teixeira FZ, Jaeger JAG

Abstract

Mortality of animals on roads is a critical threat to many wildlife populations, and is poised to increase strongly because of ongoing and planned road construction. If these new roads cannot be avoided, effective mitigation measures will be necessary to stop biodiversity decline. Fencing along roads effectively reduces roadkill and is often used in combination with wildlife passages. Because fencing the entire road is not always possible due to financial constraints, high-frequency roadkill areas are often identified to inform the placement of fencing. We devised an adaptive fence-implementation plan to prioritize road sections for fencing. In this framework, areas along roads of high, moderate, and low levels of animal mortality (respectively roadkill hotspots, warmspots, and coldspots) are identified at multiple scales (i.e., in circles of different diameters [200-2000 m] in which mortality frequency is measured). Fence deployment is based on the relationship between the amount of fencing being added to the road, starting with roadkill hotspots, and potential reduction in road mortality (displayed in mortality-reduction graphs). We applied our approach to empirical and simulated spatial patterns of wildlife-vehicle collisions. The scale used for analysis affected the number and spatial extent of roadkill hot-, warm-, and coldspots. At fine scales (e.g., 200 m), more hotspots were identified than at coarse scales (e.g., 2000 m), but combined the fine-scale hotspots covered less road and less fencing was needed to reduce road mortality. However, many short fences may be less effective in practice due to a fence-end effect (i.e., animals moving around the fence more easily), resulting in a trade-off between few long and many short fences, which we call the FLOMS (few-long-or-many-short) fences trade-off. Thresholds in the mortality-reduction graphs occurred for some roadkill patterns, but not for others. Thresholds may be useful to consider when determining road-mitigation targets. The existence of thresholds at multiple scales and the FLOMS trade-off have important implications for biodiversity conservation. Article impact statement: Mortality-reduction graphs show by how much fencing can reduce roadkill at multiple scales and serve to identify trade-offs and thresholds. This article is protected by copyright. All rights reserved.

PMID: 32227646 [PubMed - as supplied by publisher]