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Filters: partyWithName: California LCC Data Manager (X) > partyWithName: Julian Wood (X) > Categories: Data (X) > partyWithName: California LCC Data Manager (X)

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An online decision support tool for managers, planners, conservation practitioners and scientists.The models generating these maps are the first to take into account the ability of marshes to accrete, or keep up with, rising sea levels, in the San Francisco Bay Estuary.PRBO has generated a series of scenarios to provide a range of projections to address the uncertainty in future rates of sea-level rise and suspended sediment availability.Our maps cover the entire Estuary allowing for analyses at multiple spatial scales.This tool displays maps created at a high spatial resolution using the best available elevation data. The website will be continually updated as new data becomes availableThe tool is the first to...
Conservation priority maps based on combined bird species current and projected abundance and distribution, updated with new model with improved inputs.Point Blue Conservation Science is currently assessing the effects of sea-level rise (SLR) and salinity changes on San Francisco Bay tidal marsh ecosystems. Tidal marshes are naturally resilient to SLR, in that they can build up elevation through the capture of suspended sediment and deposition of organic material (vegetation). Thus, a “bathtub” model approach is not appropriate for assessing impacts to this dynamic habitat. Rather, dynamic accretion potential can be modeled annually based on tidal inundation, sediment availability, and the rate of organic accumulation...
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...
Current and projected bird distribution and abundance layers, updated with new model that has better inputs. Point Blue Conservation Science assessed the effects of sea-level rise (SLR) and salinity changes on San Francisco Bay tidal marsh ecosystems. Tidal marshes are naturally resilient to SLR, in that they can build up elevation through the capture of suspended sediment and deposition of organic material (vegetation). Thus, a “bathtub” model approach is not appropriate for assessing impacts to this dynamic habitat. Rather, dynamic accretion potential can be modeled annually based on tidal inundation, sediment availability, and the rate of organic accumulation (related to salinity).Working with researchers at...
Understanding San Francisco Bay’s vulnerabilities to sea level rise is important for both biodiversity conservation and for management of public infrastructure. Coastal marshes provide essential ecosystem services such as water filtration and flood abatement while also providing important habitat for species of conservation concern. Improving our understanding of how tidal marsh habitats will be affected by sea level rise is important so that we maximize ecosystem services that coastal marshes provide and ensure that endemic populations of plants and animals persist into the future. For this project, marsh accretion was modeled by ESA PWA (http://www.pwa-ltd.com/index.html) using the Marsh-98 model, described here:...