The wildland-urban interface (WUI) is the spatial manifestation of human communities coupled with vegetated ecosystems. Spatial delineation of the WUI is important for wildfire policy and management, but is typically defined according to spatial relationships between housing development and wildland vegetation without explicit consideration of fire risk. A fire risk-based definition of WUI can enable a better distribution of management investment so as to maximize social return. We present a novel methodological approach to delineate the WUI based on a fire risk assessment. The approach establishes a geographical framework to model fire risk via machine learning and generate multi-scale, variable-specific spatial thresholds for translating fire probabilities into mapped output. To determine whether fire-based WUI mapping better captures the spatial congruence of houses and wildfires than conventional methods, we compared national and subnational fire-based WUI maps for Chile to WUI maps generated only with housing and vegetation thresholds. The two mapping approaches exhibited broadly similar spatial patterns, the WUI definitions covering almost the same area and containing similar proportions of the housing units in the area under study (17.1% vs. 17.9%), but the fire-based WUI accounted for 13.8% more spatial congruence of fires and people (47.1% vs. 33.2% of ignitions). Substantial regional variability was found in fire risk drivers and the corresponding spatial mapping thresholds, suggesting there are benefits to developing different WUI maps for different scales of application. We conclude that a dynamic, multi-scale, fire-based WUI mapping approach should provide more targeted and effective support for decision making than conventional approaches.

An understanding of human attitudes towards wildlife can be an essential element in the success or failure of a conservation initiative, policy or practice and represents one of the main conservation problems for wildlife species. Despite the ecosystem services bats provide, they often are a socially stigmatized group, misperceived and even hunted. This problem has been on the increase as a result of the Covid‐19 pandemic. We examined how aesthetic appeal and informational factors could influence human attitudes towards bats in a survey of 1966 participants from Spanish‐speaking countries. Gender, educational level, religiousness and previous experiences with bats were relevant variables to understand attitudes towards them. The results indicate that both aesthetic and informational stimuli increase the positive responses, reducing the negatives on the participants' attitudes. Our results show the importance of public attitudes to achieve conservation goals, especially in the context of human‐wildlife conflict. Bats are not charismatic animals and are still surrounded in mystery; however, our findings could benefit bat conservation plans, allowing the development of new communication strategies both locally and nationally and increasing public acceptance that will facilitate bat conservation.