| Summary: | Understanding how important landscape features are connected can provide key information for the management of ecological systems, particularly insight into how species move through and interact with their environment. Landscape features and their spatial arrangement can either promote or deter movement among resource patches by individuals. Over microevolutionary time periods, such movement allows for the persistence of population structure via the exchange of genetic material, particularly in metapopulations spatially separated over fragmented landscapes. Over shorter ecological periods, and less understood, the presence and distribution of important food patches can influence habitat connectivity for mobile species, such as large carnivores. In this work, we examined how five species of Pacific salmon (Oncorhynchus spp.), which spawn across varying times (~late April to ~late December) and spatial locations throughout coastal British Columbia (BC), might be associated with movement by grizzly bears (Ursus arctos horribilis). Following “resource waves”, spatial data show how these mobile consumers track salmon spawns as runs become available over space and time throughout the spawning season. In coastal BC, where bears have never been radio-collared, we know little about how landscape features might affect their ability to travel among salmon spawns. Such information is essential to proactive landscape planning for forest management. Following circuit theory, we used Circuitscape to predict movement among these important resource patches within a 17,000km2 study area. Variables affecting grizzly movement were parameterized during collaborative meetings with the Heiltsuk Integrated Resource Management Department (HIRMD) and incorporated Indigenous and local knowledge. The modelled current flows suggested important areas of high predicted connectivity between salmon spawns within and among watersheds. Furthermore, we illustrated potential corridors within the unprotected forest matrix for consideration by HIRMD. ...
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