Climate Science Alliance - South Coast

The Climate Science Aliance - South Coast is a team of individuals and organizations that work together and demonstrate innovative thought, action, and leadership to conserva and manage the communities and natural resources of the South Coast Region in the face of a changing climate. The Alliance supports science focused partnerships for sharing ecosystem-based resiliency approaches, climate-smart conservation training, and youth education and engagement.

Vulnerability Assessment and Adaptation Planning for National Forest Lands in Southern California

This project will conduct a vulnerability assessment, develop climate‐smart adaptation strategies and actions, and generate implementation plans for focal habitats of the South and Central Coast regions of the CALCC, with a specific focus on four Southern California National Forests (Angeles, San Bernardino, Cleveland, Los Padres). This effort will provide information and tools for USFS planning and management (e.g., NEPA analyses, Forest Plan Revisions, Climate Change Performance Scorecard – “Scorecard”) and other natural

Incorporating Climate-Smart Adaptive Strategies into Wetlands Recovery in Coastal Southern California

Wetland heterogeneity along the Southern California coast combined with the variety of infrastructure constraints and other anthropogenic stressors makes it difficult for managers to know which tools to use and how to best apply them to inform restoration and management for their specific circumstance. This project develops a method for managers to assess climate change vulnerabilities at specific wetland locations.

A Monitoring Protocol to Assess Wintering Shorebird Population Trends

The Pacific Flyway Shorebird Survey is a coordinated multi-partner research and monitoring program led by Point Blue Conservation Science designed to guide the management and conservation of wintering shorebirds in the Pacific Flyway, a migration corridor stretching from Alaska to Chile. The first phase of the effort has focused on California's Central Valley, San Francisco Bay Area, and the coastal regions of California and northern Baja California, Mexico. These regions provide critical habitat for large populations of migrating and wintering shorebirds in the Pacific Flyway.

Sea-level Rise Modeling Across the California Salt Marsh Gradient

This project uses modeling at a parcel scale to measure the effects of sea-level rise on coastal ecosystems and tidal salt marshes. The project team will measure several parameters that will be incorporated into ArcGIS models creating comparable datasets across the Pacific coast tidal gradient. The ultimate goal is to provide science support tools for local adaptation planning from the bottom-up that may be implemented under a structured decision-making framework.

Maximizing evolutionary potential under climate change in southern California protected areas

The project transfers a previously developed prioritization framework that combines intraspecific genetic and morphological variation with traditionally used indices of biodiversity, and test its general utility for conservation prioritization. This project will integrate existing data on intraspecific variation of multiple species in the Santa Monica Mountains National Recreational Area with climate data and space-borne measurements of the environment to identify areas with high intraspecific variation.

Decision support for climate change adaptation and fire management strategies for at risk species in southern California

This project models how the effects of climate-induced changes to species distributions and land use change will impact threatened species in fire-prone ecosystems in Southern California. This project also identifies and prioritizes potential management responses to climate change. Products include maps of habitat suitability under current and future conditions, population models and dynamic bioclimate envelopes, recommendations on management option, and an adaptive management framework for structured decision making.


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