Support

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

Painting turtles: an introduction to species distribution modeling in R

By Anna Carter

Iowa State University

This module uses R software to introduce students to the process of accessing databases and building species distribution models based on occurrence records.

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

Download Bundle (24 KB)

We're sorry! Resource content is currently unavailable.

Version 1.0 - published on 12 Jun 2018 doi:10.25334/Q4NQ40 - cite this

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

painting turtles.jpg

Description

In this exercise, students will gain insight into the process of building an occurrence-based species distribution model (sdm) by investigating the distribution of painted turtles (Chrysemys picta), a semi-aquatic species that is widespread throughout North America. Students will gain familiarity with available sources of climate and distribution data and acquire basic skills for handling geospatial data and spatially-explicit ecological datasets in open-source software. The module contains copy-and-paste code for R as well as example questions that walk students through the exercise and prompt them to critically consider the limitations of spatially-explicit data and occurrence-based distribution models for answering ecological questions. As written, the module does not explicitly examine whether the sdm is a ‘good’ model for painted turtles. However, this exercise is a simplified version of the vignettes in “Species distribution modeling with R” by Hijmans & Elith (2017) and can be extended to include more advanced exercises, such as statistical exploration of the BioClim variables, model validation, or the effects of climate change.

The author is supported by National Science Foundation grants DEB-1242510 and IOS-1257857 and the Minnesota Herpetological Society. This exercise draws heavily from the vignettes found in “Species distribution modeling with R” by Hijmans & Elith (2017).

Please cite as:

Anna L. Carter. 2017. Painting turtles: An Introduction to Species Distribution Modeling in R. Teaching Issues and Experiments in Ecology, Vol. 13: Practice #1 [online]. http://tiee.esa.org/vol/v13/issues/data_sets/carter/abstract.html. doi:10.25334/Q4NQ40

Contents ( Show bundle contents ) Bundle

Cite this work

Researchers should cite this work as follows:

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.