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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
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.
This project brought together natural resource managers, conservation coordinators and planners, and scientists working at multiple scales within the San Francisco Bay to develop a spatially-explicit decision framework that cuts across jurisdictional boundaries while accounting for uncertainties about climate change. In particular, the SDM framework allows managers within the Bay to identify a recommended strategy among a set of alternative strategies that may vary among its subregions (e.g. North Bay, South Bay, East Bay). Management priorities will be those that yield the greatest expected conservation benefits across the Bay considering multiple objectives including endangered species recovery (e.g. California...
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...