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Abstract We conducted a spatially explicit vulnerability assessment of the forest industry in Maine, USA, to climate change in an effort to (1) advance a spatial framework for assessing forest industry vulnerability and (2) increase our understanding of Maine’s specific vulnerabilities to climate change in order to guide decision-making. We applied a bottom-up indicator approach to evaluate exposure, sensitivity, and adaptive capacity to climate change using both biophysical and social indicators, largely driven by participatory processes. Our approach enabled us to synthesize and aggregate indicators of regional importance to evaluate vulnerability, allowing us to simultaneously examine combinations of potential changes. We found that each Maine county had its own unique combination of exposure, sensitivity, and adaptive capacity indicators, with overall vulnerability highest in the rural northern and western parts of the state, where forest industry activities are most prevalent. However, results also indicate that although increased stress from climate-related changes can negatively affect Maine’s forest via high exposure, reduced sensitivities and increased adaptive capacity have the potential to largely decrease overall vulnerability in many parts of the state.