Ecological niche models applied to post-megafire vegetation restoration in the context of climate change
Abstract Context Climate change and land-use changes are the main drivers altering fire regime and leading to the occurrence of megafires. Current management policies focus on short-term restoration without considering how climate change affects regeneration dynamics. Objectives We aimed to test the usefulness of ecological niche models (ENMs) in post-fire restoration plans, assessing the short and long-term effects (climate change) of tree species distribution. We, also, examined different important conceptual and methodological aspects. Methods We executed ENM for the four main tree species in an area affected by a megafire in Central Spain following a hierarchical approach and precise resolution (25 meters), at two scales (local and regional), two sampling strategies (regular 2 years after the fire, and opportunistic 14 years after the fire) at local scale, and under two future climate change scenarios. Results ENMs were reliable (AUC > 0.9). Local models generated with data from an opportunistic sampling strategy in a stable phase of vegetation succession (14 years after the fire) provided valuable information for decision-making in post-fire management for current time. But, regional models are capable of projecting the whole climatic niche of species to determine the potential effect of climate change on the vegetation. Conclusion The usefulness of ENMs as support tools in decision-making for post-fire management was confirmed for the first time. ENMs projected at different scales provide valuable information for decision-making in post-fire management. This framework can be applied in other areas to manage the restoration of areas affected by megafires considering climate change scenarios.