Road-crossing sites can be ranked for wildlife connectivity

What the study found: A multi-species framework was used to rank wildlife crossing structure locations along road networks, and it identified 167 high-priority sites in Israel. The study also found that the existing wildlife overpasses in Israel did not align with these high-priority locations.

Why the authors say this matters: The authors conclude that wildlife crossing structures are costly and that careful placement is important, so their approach may support data-driven decisions for road mitigation. The study suggests the method can complement expert-based inferences with data-based insights.

What the researchers tested: The researchers developed a national-scale prioritization method for 20 focal species across 6,992 km of roads in Israel. They modelled habitat suitability, delineated core habitats, calculated resistance surfaces, identified movement corridors with a least-cost method, and ranked 100 m road segments using multi-species corridor values, movement cost, and road orientation.

What worked and what didn't: The method was described as robust to most parameters in a sensitivity analysis, except for minimal core width. It identified 167 high-priority wildlife crossing structure locations, and 68.2% of those locations intersected corridors mapped from expert opinion. However, all existing wildlife overpasses in Israel did not align with the prioritized locations.

What to keep in mind: The abstract describes one national-scale application in Israel, so the results are limited to that setting and to the 20 focal species studied. The abstract also notes that the method depends on some parameters, and minimal core width was the main parameter the sensitivity analysis flagged.

Key points

• A multi-species framework ranked wildlife crossing structure locations along roads in Israel.
• The study identified 167 high-priority crossing locations across 6,992 km of roads.
• All existing wildlife overpasses in Israel did not align with the prioritized sites.
• Sixty-eight point two percent of the prioritized locations intersected expert-mapped corridors.
• The sensitivity analysis found the method was robust to most parameters except minimal core width.