Skip to main content
Advanced Search

Filters: Tags: SF Bay/Delta (X) > partyWithName: California LCC Data Manager (X)

7 results (28ms)   

Filters
Date Range
Extensions
Types
Contacts
Categories
Tag Types
Tag Schemes
View Results as: JSON ATOM CSV
thumbnail
Phase 1 & 2 (2010, 2012): This project developed a sampling design and monitoring protocol for wintering shorebirds in the Central Valley and in the San Francisco Bay Estuary and develop an LCC-specific online shorebird monitoring portal publicly available at the California Avian Data Center. The three objectives in Phase II of this project are: 1) Complete the shorebird monitoring plan for the CA LCC by developing a sampling design and monitoring protocol for wintering shorebirds in coastal southern California and northern Mexico. 2) Develop models to evaluate the influence of habitat factors from multiple spatial scales on shorebird use of San Francisco Bay and managed wetlands in the Sacramento Valley, as a model...
Categories: Data, Project; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: 2010, 2011, 2013, Academics & scientific researchers, Academics & scientific researchers, All tags...
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 researched the expected variation in avian demographic responses to environmental change across a gradient of species and landscapes from the San Francisco Bay to the Central Valley of California. We used two avian taxa, waterfowl and songbirds, as case studies for the integration of long-term demographic data with climate change variables. For each taxon, we assessed and synthesized several demographic responses to climate change variables (i.e., precipitation and temperature) to explore the relationship between four large-scale climate indices and bird species arrival dates and nest survival. A web-based application provides natural resource managers with project results.
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...


    map background search result map search result map A Monitoring Protocol to Assess Wintering Shorebird Population Trends A Monitoring Protocol to Assess Wintering Shorebird Population Trends