Support Options

  • Knowledge Base

    Find information on common questions and issues.

  • Support Messages

    Check on the status of your correspondences with members of the QUBES team.

Contact Us

About you
About the problem

Investigating the effects of urbanization on bird biodiversity: Testing three biodiversity hypotheses using citizen science data

By Jennifer Kovacs1, Ebony Gaillard2

1. Spelman College 2. University of North Carolina

Students generate predictions and test three hypotheses about how biodiversity is affected by urbanization over time using citizen science generated bird count data and land use data from 13 locations in Florida over a 10 year time span

Listed in Teaching Materials | resource by group DIG into Data FMN (2017)

Version 1.0 - published on 13 Jun 2018 doi:10.25334/Q4FD6S - cite this

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

Florida image.jpg


Urbanization can affect biodiversity in a variety of ways, including habitat loss and fragmentation and the introduction of non-native species. In this module, students will use bird counts (eBird) and land use data (LandSat) to test three hypotheses about urbanization and its effect on biodiversity. Students first generate testable predictions for the productivity hypothesis (Luck et al. 2004), the ecosystem stress hypothesis (Rapport et al 1985), and the intermediate disturbance hypothesis (Connell 1978). Using Google Sheets, students then calculate Shannon’s Diversity Indices for 13 different locations at two different time points ten years apart. By combining these data with measures of land use for each location at each time point, students are able to graphically and statistically evaluate the three assigned biodiversity hypotheses. This module is presented as a guided inquiry module, though the provided dataset could serve as the basis for more open-ended inquiry and extended projects.

Contents ( Show bundle contents ) Bundle

Cite this work


DIG into Data FMN (2017)

DIG into Data FMN (2017) group image

When watching a resource, you will be notified when a new version is released.