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A Monitoring Protocol to Assess Wintering Shorebird Population Trends 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... CA, CA Central Valley, California Central Valley, California Landscape Conservation Cooperative, Conservation NGOs, Data Management and Integration, Datasets/Database, Estuarine, Federal, Federal resource managers, LCC, LCC Network Science Catalog, Methodology/Protocol, Methodology/Protocol, Monitoring, Monitoring, Monitoring, Project, Publication, SF Bay/Delta, Science Project, Southwest CSC, Tidal, Wetland, birds, cadc, california avian data center, completed, conservation, environment, fish, habitat, information exchange, invertebrates, land use, management, map, model, monitoring, multiple, on-line, pacific flyway, rice, santa monica nra, scenarios, sdm, shorebirds, wetland, wintering shorebirds, Fewer tags Habitat Suitability Index Model for Breeding King Rail (Rallus elegans) in Rice Agriculture, in the Gulf Coast Joint Venture Region We used a combination of remotely sensed habitat characteristics, previously determined by other investigators for predicting King Rail nesting propensity in rice, to create a habitat suitability index (HSI) for the major rice growing regions in coastal Texas and Louisiana. The HSI combines estimates of the maximum extent of rice agriculture at a 5 kilometer (km) scale, proportion of tree canopy at a 1 km scale, and ditch density at a 1 km scale. This HSI can be used to identify priority areas for maintaining, increasing, and enhancing rice agriculture in the King Rail’s range in coastal Texas and Louisiana, as well as a tool to rank proposals for conservation incentives available through the Farm Bill, or other... Categories: Data; Types: ArcGIS REST Map Service, ArcGIS Service Definition, Downloadable, Map Service; Tags: GCJV, King Rail, rice