Street food for Bees

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Green rainwater infrastructure sites are small areas of planted municipal land that help urban sprawls deal with excess rainwater. We aim to enhance the green space services they provide by ensuring they have enough plants that are highly beneficial to pollinators. This will be done by developing a statistical tool which can assess the plant distribution in a site.

School:

SFU

Department:

School of Environmental Science

Course:

EVSC 400

Instructors:

  • Kate Smith

City of Vancouver:

  • Alicia Kingdon
  • Sheri DeBoer
  • Cherie Xiao

Student Team:

  • Connor Furman
  • Qian (Jerry) Hu
  • Jasraj Jaspal Singh
  • Chenghao Yang

Strategy:

  • Rain City Stategy

Summary

The goal of this project is to investigate quantifying distributions of plants which support pollinators. This research will be primarily focused on green rainwater infrastructure (GRI) sites throughout the Metro-Vancouver area, however our methodologies can be adapted to differing climates with different native plants and pollinators. GRI sites are small areas of municipal land which have been modified to help urban sprawls deal with excess rainwater due to the abundance of impermeable asphalt and concrete. These areas are soil filled and extend below the pavement to maximize drainage. They are planted to increase water retention and provide various green space services. Pollinator habitat is one of these included green space services, and the improvement of which is the main driver behind this investigation.

Our study site for this project is the Pine Street GRI site, which is located in the Kitsilano region of the City of Vancouver, BC. This area resides on the unceded traditional territories of the xʷməθkʷəy̓əm (Musqueam), Sḵwx̱wú7mesh (Squamish), and səlilwətaɬ (Tsleil-Waututh) Nations. The Pine Street site will be used to test our methodologies and tools, and used as an example in how we might assess a particular location and derive suggestions for improvement. To accomplish all of this, we will be building off of a large selection of pre-existing research, location-specific data provided by the City, as well as developing a software tool to provide statistical evaluation of ‘pollinator friendliness’ on a per-site basis.

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