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    Mobilizing historic and modern biological data to understand how organisms and ecological systems adapt to global change.

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    UC Berkeley scientists drilled into ancient sediments at the bottom of Northern California’s Clear Lake for clues that could help them better predict how today’s plants and animals will adapt to climate change and increasing population. 

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    UC Berkeley has an extensive collection of ~12,000 historic soil samples from over 3,000 sites across California from the early 20th century. The samples hold the potential for rich comparisions. 

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    The California Vegetation Type Map (VTM) collection which was created in the 1920s-1930s, is a key dataset for the 
Ecoinformatics Engine.

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    Novel technologies enable better predictions regarding response to future climatic change.  They allow for detection of genotypic, phenotypic and ecological responses to recent (past 100 years) and ongoing environmental change. 

    http://newscenter.berkeley.edu/2012/05/03/scientists-core-into-clear-lake-to-explore-past-climate-change/
    http://vcro-vm-i003-dev41.berkeley.edu/data-engine#vtm

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    Jun 26
    Digital Uses of Biodiversity Data Conference 2018

    红杏加速器2025年-outline

    Global Change Biology at Berkeley spans multiple departments and colleges, with over 150 affiliated faculty, researchers, and students.

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