Comparing boreal forest regeneration with 3D morphology: harvesting and wildland fire Tejumade A. Ojo1 and Tarmo K. Remmel2 York University, Faculty of Environmental and Urban Change, The quantitative assessment of landscape pattern and structures are central to landscape ecology. Specifically in boreal forests, which experience cyclic disturbances, this quantification can help identify and compare locations impacted by harvesting or wildland fire disturbances. These forests, important for the manufacture of forest products, the provision of ecological services, and offering destinations for recreation, can be profoundly impacted by dynamic disturbance and recovery cycles. This study begins by characterizing, individually, the 3D morphology of forest disturbance recovery for n = 30 events, half of them harvests, the others wildland fires in Ontario. Here, annual time slices for binary (disturbed, not-disturbed) land cover maps are stacked to produce temporal series of data (x,y,t) that can be considered a 3D data cube comprised of voxels. Morphological segmentation quantifies the number of voxels that comprise each unique morphological class within the data cube. We then characterize the variability among the disturbances processed and test whether differences are observed in the recovery structures between disturbance types, sizes, and ecological settings. The recent approach to forest harvesting that seeks to emulate natural disturbances sets the expectation that these disturbances would otherwise behave differently; this work provides quantitative evidence of how closely these recoveries compare between the stated disturbance types.