The global climate is changing rapidly and countries need clear direction on how best to adapt to these changes. Ecosystem-based adaptation (EbA) is becoming an increasingly popular strategy, especially in poor countries where dependence on natural resources for lives and livelihoods is high.
Human activities threaten the effectiveness of protected areas (PAs) in achieving their conservation goals across the globe. In this study, we contrast the influence of human and macro-environmental factors driving fire activity inside and outside PAs. Using area burned between 1984 and 2014 for 11 ecoregions in Canada and the United States, we built and compared statistical models of fire likelihood using the MaxEnt software and a set of 11 key anthropogenic, climatic, and physical variables. Overall, the full model (i.e.