USA NPN National Phenology Network

Taking the Pulse of Our Planet

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The USA-NPN, phenology, and our partners are often in the news. Follow some recent stories below.

Image credit:
Sara N. Schaffer

News

  • How will Punxsutawney Phil's predictions stack up to ours?
    Friday, February 2, 2018

    By Groundhog day in 2017, spring had arrived 3-4 weeks early across much of the Southeast. This year, it looks like we will not see a very early spring in the Southeast. However, we predict that by Groundhog day this year, spring will have spread even further into Southwest states this year than last.

    Groundhog day map comparison 2017-18

  • FIRST FROST IS LATE ACROSS MUCH OF THE COUNTRY
    Friday, October 27, 2017

    In a new article from the Associated Press, Weather Underground reports that 25% fewer states have had a freeze so far this fall than in normal years. A shorter freeze season means longer allergy season, longer mosquito and tick season, longer agricultural pest season, and cascading effects on plant and animal interactions.

  • USA-NPN's Start of Spring maps win Outstanding Achievement Award
    Monday, July 24, 2017

    The USA-NPN has recieved the 2017 Outstanding Achievement Award from the Renewable Natural Resouces Foundation recognizing our Start of Spring maps and access tools. These maps are based on decades of plant phenology data, and predict where spring has arrived across the country.

  • National Phenology Database Reaches 10 million record milestone
    Monday, April 24, 2017

    As of April 24, 2017, the National Phenology Database has reached 10 million records! Each record is a response to a question about phenology activity for a particular plant or animal species on a unique day and time, by a unique observer.

    Read more about this milestone in this story in UA News.  

    Find out what 10 million records means: 

  • USGS Top Story: Just HOW EARLY is spring arriving in your neighborhood?
    Thursday, February 23, 2017

    This USGS Top Story highlights why we should care about an early spring, how these predictions are calculated, and what you can do to help improve these models! 

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