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Assessing the Risk of Invasive Species Using Community Science Data

Author(s): Matthew Joshua Heard

Belmont University

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Adapt 1
Summary:
This module introduces students who are already familiar with GIS to doing comparative analyses with large-scale community science (often called citizen science) data sets. Students will explore how we can use community science data to examine the…

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This module introduces students who are already familiar with GIS to doing comparative analyses with large-scale community science (often called citizen science) data sets. Students will explore how we can use community science data to examine the spread and distribution of invasive species in different geographic locations. In the final step, students will identify different invasive species and determine if community science data accurately maps the threat these species pose.

Licensed under CC Attribution-ShareAlike 4.0 International according to these terms

Version 1.0 - published on 21 Apr 2023 doi:10.25334/J3GM-W132 - cite this

Keywords

  1. Invasive Species
  2. Project EDDIE
  3. Citizen and Community Science

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  2. Audience Level
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Description

This module asks a fundamental question in environmental science – how are invasive species distributed across geographic landscapes. In addition, it asks whether community science data from commonly used platforms like iNaturalist can be used to answer important biological management questions. Detailed instructions are provided for both QGIS and iNaturalist work and this module can be adapted to different courses, regions, or species relatively easily. Please note that this activity was designed for students who have experience in QGIS. However there are also instructions that could be incorporated into a Pre-Activity for how to get started working with QGIS and for how to make basic maps.

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