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This project designed a monitoring program and protocol to detect the effects of climate change on tidal marsh bird population abundance and distribution. It is a companion to “Tidal Marsh Bird Population and Habitat Assessment for San Francisco Bay under Future Climate Change Conditions” and will build on its products, enabling evaluation of the long-term viability of four tidal-marsh bird species threatened by impacts of climate change: Clapper Rail, Black Rail, Common Yellowthroat, and Song Sparrow (three endemic subspecies: San Pablo, Suisun, and Alameda). Information is available through the California Avian Data Center. See also: http://data.prbo.org/apps/sfbslr/index.php?page=lcc-page
This project integrates fire risk models, species distribution models (SDMs) and population models with scenarios of future climate and land cover to project how the effects of climate-induced changes to species distributions and land use change will impact threatened species in fire-prone ecosystems. This project also identifies and prioritizes potential management responses to climate change (e.g. assisted colonization, fire management, land protection, dispersal corridors). Anticipated products include: 1) maps (digital and hard copy) of habitat suitability under current and future climate change, current and future projected urban growth and combinations of climate change and future projected urban growth, under...
Categories: Data, Project; Tags: 2011, Academics & scientific researchers, CA, CA-Southern, California Landscape Conservation Cooperative, All tags...
This project used species distribution modeling, population genetics, and geospatial analysis of historical vs. modern vertebrate populations to identify climate change refugia and population connectivity across the Sierra Nevada. It is hypothesized that climate change refugia will increase persistence and stability of populations and, as a result, maintain higher genetic diversity. This work helps managers assess the need to include connectivity and refugia in climate change adaptation strategies. Results help Sierra Nevada land managers allocate limited resources, aid future scenario assessment at landscape scales, and develop a performance measure for assessing resilience.
Categories: Data, Project; Tags: 2011, 2013, CA, California Landscape Conservation Cooperative, Conservation Design, All tags...
Most natural resource managers, planners and policy makers are now dependent upon spatially explicit environmental suitability and spatial allocation analyses to inform policy and management decisions. However, staff across agencies has been unable to stay current on understanding and applying these new data, tools and analyses. Currently, this information may be underutilized or used inappropriately, which could result in poor decisions. Two training curricula were developed – one for managers and one for GIS analysts – on current best practices for developing and using spatial information to support conservation decision making. The training materials are open-source and widely distributed to California LCC stakeholders.
This project developed a foundation for monitoring environmental change by identifying where and what to monitor in order to evaluate climate-change impacts. Phase 1 focused on landbirds, however a framework will be developed that recommends standardized monitoring for other taxa and environmental attributes. Phase II Deliverables produced as part of this proposed work include a Business Plan that 1) refines site selection by developing a decision model in combination with analyses of sites (or clusters of sites) arrayed by climate space, 2) works with the LCC science committee, Joint Ventures, and other partners to choose a manageable number of core monitoring variables, 3) develops and/or adopting existing protocols...
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...