Collaborative Research: Adaptive and nonadaptive mechanisms of phenotypic evolution in response to urbanization

Information

  • NSF Award
  • 2018249
Owner
  • Award Id
    2018249
  • Award Effective Date
    1/1/2021 - 4 years ago
  • Award Expiration Date
    12/31/2024 - 16 days ago
  • Award Amount
    $ 426,452.00
  • Award Instrument
    Standard Grant

Collaborative Research: Adaptive and nonadaptive mechanisms of phenotypic evolution in response to urbanization

Over half of the world’s population lives in cities, and urban areas are among the fastest growing ecosystems on Earth. Urbanization causes dramatic environmental change, from the conversion of natural areas to buildings and roads, to increased air, water, light, and noise pollution. Urbanization often reduces biodiversity, but it can also affect the way organisms evolve. Organisms that thrive in cities commonly differ in their morphology, behavior, and physiology from populations of the same species in rural areas. How do these differences arise? This project’s focus is one of the most common and visible animals in cities in the United States and abroad: gray squirrels. Gray squirrels provide an ideal model system for exploring the different ways urbanization affects evolution. Gray squirrels have two common coat colors – gray and melanic – that are determined by a single gene. The melanic form used to be common in much of the northeastern United States, but today it is abundant primarily in cities. Why did melanic squirrels decline in rural forests but persist in cities? Results from this project will shed light on fundamental questions about how urbanization affects the way organisms evolve, that is, the degree to which evolutionary change in cities and surrounding rural areas is due to natural selection, chance, or a combination of both. The project will engage thousands of citizen scientists and students in recording observations of squirrel coat colors and collectively measuring in their backyards how evolution is shaped by urbanization. The research will address longstanding questions about urban evolution specifically and evolutionary biology more generally and help guide efforts to enhance biodiversity and human well-being in cities.<br/><br/>The research will integrate demographic and genomic approaches across 10 replicate cities to understand how melanism evolved in response to urbanization. First, spatial variation in melanism will be characterized in each city to test whether melanism consistently declines from the urban core into rural forests. Second, genomic tools will be used to investigate the degree to which changes in melanism from urban to rural areas are driven by adaptive natural selection versus nonadaptive processes, including chance introductions and dispersal through the urban environment. Third, experiments will be conducted to understand the causes of natural selection, testing the idea that urbanization alters vulnerability of different morphs to different sources of mortality in cities and rural forests. Citizen scientists will be engaged in an online experiment to measure the visibility of each morph in urban and rural environments, and predation rates on the morphs will be compared in each environment.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

  • Program Officer
    Matthew Herron
  • Min Amd Letter Date
    8/24/2020 - 4 years ago
  • Max Amd Letter Date
    10/20/2020 - 4 years ago
  • ARRA Amount

Institutions

  • Name
    Hobart and William Smith Colleges
  • City
    Geneva
  • State
    NY
  • Country
    United States
  • Address
    337 Pulteney Street
  • Postal Code
    144563397
  • Phone Number
    3157813754

Investigators

  • First Name
    Bradley
  • Last Name
    Cosentino
  • Email Address
    cosentino@hws.edu
  • Start Date
    8/24/2020 12:00:00 AM

Program Element

  • Text
    Evolutionary Processes
  • Code
    1127

Program Reference

  • Text
    EVOLUTIONARY PROCESSES CLUSTER
  • Code
    1127