This project assessed the potential effects of climate change on tidal marsh habitats and bird populations, identified priority sites for tidal marsh conservation and restoration, and developed a web-based mapping tool for managers to interactively display and query results. Project results can be found at PRBO’s San Francisco Bay Sea-Level Rise Website
Vulnerability Analysis and Monitoring Program for Detecting Changes in San Francisco Bay Tidal Marsh Bird Populations
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
Decision support for climate change adaptation and fire management strategies for at risk species in southern California
This project integrates fire risk models, species distribution models (SDMs) and population models with scenarios of future climate and land cover to project how the effects of climate-induced changes to species distributions and land use change will impact threatened species in fire-prone ecosystems. This project also identifies and prioritizes potential management responses to climate change (e.g. assisted colonization, fire management, land protection, dispersal corridors). Anticipated products include: 1) maps (digital and hard copy) of habitat suitability under current and future climate change, current and future projected urban growth and combinations of climate change and future projected urban growth, under...
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...