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This project designed a monitoring program and protocol to detect the effects of climate change on tidal marsh bird population abundance and distribution. It is a companion to “Tidal Marsh Bird Population and Habitat Assessment for San Francisco Bay under Future Climate Change Conditions” and will build on its products, enabling evaluation of the long-term viability of four tidal-marsh bird species threatened by impacts of climate change: Clapper Rail, Black Rail, Common Yellowthroat, and Song Sparrow (three endemic subspecies: San Pablo, Suisun, and Alameda). Information is available through the California Avian Data Center. See also: http://data.prbo.org/apps/sfbslr/index.php?page=lcc-page
This project evaluates the effects of global climate change and sea level rise on estuarine intertidal habitat in the San Francisco Bay and the Pacific Flyway migratory waterbirds that rely on this habitat. Phase 2 of this project is a continuation of work to evaluate the effects of global climate change and sea level rise (SLR) on intertidal shoals in the San Francisco Bay Estuary and the migratory waterbirds that rely on this critically important resource in the Pacific Flyway. The primary objectives are to: 1) use downscaled global climate change models to translate SLR and climate scenarios into habitat quantity predictions through Delft3D and Dflow-FM (unstructured grid) geomorphic modeling; 2) model the response...
The main goal of this project is to ensure that the 2011-13 climate change update to the Baylands Ecosystem Habitat Goals Report (Baylands Goals) and other key, ongoing conservation activities in the San Francisco Bay region use the latest information about the current and future status of San Francisco Bay tidal marsh ecosystems, particularly in the context of sea-level rise. The main product of the project is the improved Sea Level Rise (SLR) Tool, specifically upgraded to inform the Baylands Goals Report update. The tool will continue to be available online at www.prbo.org/sfbayslr. All data layers going into the tool are and will continue to be downloadable from the site.
To be successful, natural resource managers need to synthesize diverse information on the effects of management actions, climate change and other stressors on wildlife populations at appropriate scales. The project team developed a Decision Support Tool (DST) that integrates the results of multi-disciplinary, multi-taxa modeling allowing users to project outcomes of conservation actions, accounting for effects of climate change and other stressors. This DST builds on work to improve a sea level rise tool for adaptive tidal wetland restoration and management. The DST provides information on how restoration can increase population resilience and long-term persistence at multiple scales for multiple species throughout...