Climate change profoundly impacts water and carbon cycles across northern latitudes. Accelerated warming results in permafrost thaw, activating new hydrological pathways, and changing connectivity between and within individual landscapes. These changes can increase dissolved organic carbon (DOC) availability and mobilization. To improve prediction of DOC concentration in rivers, and how this may respond under future conditions, it is essential to consider the role that diverse landscapes play in DOC export. This is particularly evident in the Taiga Shield (TS) with its mosaic of lakes, peatlands, and exposed bedrock. Historical data in TS indicate that DOC concentration undergoes changes as it passes through a series of lakes and nested catchments. Our study, which will take place in a catchment near Yellowknife, NWT, seeks to illuminate how various landscape types combine with hydroclimate to control the observed variability in surface water DOC. For this purpose, we will analyze DOC export from bare and tree-covered bedrock slopes, permafrost-underlain hillslopes, peatlands, and lakes, using high frequency and discrete data. Data collection will take place over two growing/thawing seasons (April to September) in 2024 and 2025. The study will provide invaluable insight into how major landscape types contribute to DOC export to aquatic environments and generate improved prediction schemes.