Stochastic multicriteria acceptability analysis as a forest management priority mapping approach based on airborne laser scanning and field inventory data

• First spatially explicit Stochastic Multicriteria Acceptability Analysis (SMAA). Potential management alternatives quantified by ALS-based pixel proxies. A nearest neighbor approach enabled pixel-level SMAA. SMAA estimated the most acceptable and strength of this decision. Decisions differing from preferences can identify hotspots for forest structure. The mapping ecosystem service (ES) provisioning often lacks decision-makers’ on ESs provided. Analyzing related uncertainties be computationally demanding a landscape tessellated to large number spatial units such as pixels. We propose stochastic multicriteria acceptability analyses incorporate (unknown or only partially known) into prioritization in Scandinavian boreal landscape. potential was airborne laser scanning based nearest-neighbor imputation method applied provide each with acceptabilities sampled probability distribution. showed that workflow could used derive two types maps use prioritization: one showing alternative decision-maker given should choose another areas where suitability structure suggested different than preferences. discuss latter hotspots. allows estimating decision respect uncertainty both proxy values is feasible way improve decisions ES accounting uncertainties, although need detailed information at level separately assessed.