Understanding how species and habitats are likely to respond to climate warming is critical in developing effective conservation and management strategies for freshwater ecosystems. We propose to link high-resolution satellite remote sensing mapping of freshwater habitats with genetic and demographic data and spatially explicit hydrological and thermal model outputs to assess the vulnerability of salmon populations under current conditions and future climate scenarios. We will answer important conservation management questions regarding the distribution, abundance, physical complexity, and quality of freshwater habitats available to salmon and trout now and under projected climate change. We will train anglers (crowdsourcing) to collect images paired with DNA samples from fish to assess genomic diversity and connectivity (gene flow) among many streams and species across the Pacific Rim. This work will build upon an existing conservation decision support web system for wild salmon conservation (RAP: Riverscape Analysis Project; http://rap.ntsg.umt.edu), which includes spatially explicit mapping of salmonid physical freshwater habitats and predictions of potential salmon habitats, their relative quality, and potential vulnerability. We will enhance the RAP web system by implementing new satellite remote sensing measures of riparian zone habitat quality, and genetic and demographic indices of salmonid population vulnerability derived from landscape genetic and individual-based simulation models of population connectivity and abundance. We initially will focus on the Yukon and Columbia Rivers to assess new RAP metrics across spatial scales and because the best available time-series genetic and abundance exist for salmonids in these rivers (including endangered Chinook salmon, chum salmon, and threatened bull trout). In Years 2-4, we would assess new RAP metrics in >1500 Pacific Rim rivers. These activities will be used with decision makers to identify and assess vulnerable populations, species and ecosystems, design long-term monitoring programs, inform future research needs, and develop conservation delivery options in response to multiple environmental stressors.