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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
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Priority areas for conservation of tidal marsh birds given current and future environmental conditions. Maps were created using Zonation, a spatial conservation planning software tool that can take into account multiple species and scenarios to create a hierarchical prioritization of the landscape.The current (2010) and future (2030-2110) prioritization is based upon distribution and abundance models for five tidal marsh bird species which utilized avian observation data (2000 - 2009), a marsh accretion model, and physical variables (e.g. salinity, distance to nearest channel, slope, etc). Values represent the rank in which pixels were removed from the landscape using Zonation Conservation Planning software with...
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Marsh accretion was modeled by ESA PWA using the Marsh-98 model, described here. The model assumes that rates of marsh plain elevation change depend on the availability of suspended sediment and organic material, water depth, and duration of inundation periods. If enough suspended sediment is available, then tidal marsh elevations can keep pace with increased inundation. Model outputs were linearly interpolated in 10-cm increments for starting elevations ranging from -3.7 to 1.7 m (relative to mean higher high water, or MHHW), and applied to a composite 5-m elevation grid (see below) for SF Bay. Results for each possible combination of projected sea level rise, sediment and organic material availability, and target...
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Guidance for incorporating climate change into conservation and restoration strategies was provided in two Climate-Smart Actions for Natural Resource Managers workshops hosted by the Bay Area Ecosystem Climate Change Consortium (BAECCC, baeccc.org) and sponsored by the Gordon and Betty Moore Foundation, the California Landscape Conservation Cooperative, California Coastal Conservancy, and The Nature Conservancy on November 29, 2012 and September 24, 2013. Materials from both of these workshops are presented in this webpage, presented on the CA LCC’s Climate Commons.
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Densities for five key tidal marsh-dependent bird species were modeled using boosted regression trees (Elith et al. 2008). The models are able to fit non-linear functions between environmental variables and the presence/absence or density of a species. Map values represent the probability of occurrence of a species or the density (birds/ha). Higher values in a map indicate a higher likelihood that a species will be present at a site. Bird species modeled: Common yellowthroat, black rail, clapper rail, marsh wren, song sparrow. Model outputs: Probably of occurrence, density (birds per hectare)
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