Sustainable land-use planning should consider large-scale landscape connectivity. commonly-used species-specific connectivity models are difficult to generalize for a wide range of taxa. In the context of multi-functional land-use planning, there is growing interest in species-agnostic approaches, modelling connectivity as a function of human landscape modification. We propose a conceptual framework, apply it to model connectivity as current density across Alberta, canada, and assess map sensitivity to modelling decisions. We directly compared the uncertainty related to (1) the definition of the degree of human modification, (2) the decision whether water bodies are considered barriers to movement, and (3) the scaling function used to translate degree of human modification into resistance values. connectivity maps were most sensitive to the consideration of water as barrier to movement, followed by the choice of scaling function, whereas maps were more robust to different conceptualizations of the degree of human modification. We observed higher concordance among cells with high (standardized) current density values than among cells with low values, which supports the identification of cells contributing to larger-scale connectivity based on a cut-off value. We conclude that every parameter in species-agnostic connectivity modelling requires attention, not only the definition of often-criticized expert-based degrees of human modification.Land-use and land-cover changes have impacted many natural ecosystems to provide ecosystem goods and services for an ever-growing human population 1 . This often has unintended consequences that may threaten biodiversity and ecosystem health 2 . Such consequences include changes in local, regional, and global climate 3 , alteration of natural habitats 4 , pollution of land, air, and water 5-7 , and changes in landscape structure, i.e., the total area and spatial configuration of ecosystems 8 .Natural ecosystems offer habitat for many species, and human landscape modification typically involves habitat loss as well as the breaking up of continuous habitats into smaller remnant patches (fragmentation) 9,10 . Consequently, landscapes may lose connectivity, i.e., the degree to which they facilitate movement of organisms and their genes among patches 11,12 . Landscape connectivity can be quantified in three ways: structural landscape connectivity, potential functional connectivity, and actual functional connectivity 13 . Structural landscape connectivity can be determined from physical attributes, based on maps alone without reference to organismal movement behaviour. Potential functional connectivity relies on a set of assumptions on organismal movement behaviour to implement an organism perspective, e.g. by mapping a species' habitat and setting a dispersal threshold. In contrast, actual functional connectivity refers to observed data (e.g., patch occupancy, radio tracking, open Scientific RepoRtS | (2020) 10:6798 | https://doi.org/10.1038/s41598-020-63545-z www.nature.com/scientifi...