Data and Scripts for manuscript "Improving predictions of range expansion for invasive species using joint species distribution models and surrogate co-occurring species"

Loading...
Thumbnail Image
Statistics
View Statistics

Keywords

Collection Period

Date Completed

item.page.dateupdated

Time period coverage

Geographic coverage

Source information

Journal Title

Journal ISSN

Volume Title

Published Date

Group

Author Contact

Briscoe Runquist, Ryan
rbriscoe@umn.edu

Abstract

This data can be used to replicate the results from the manuscript "Improving predictions of range expansion for invasive species using joint species distribution models and surrogate co-occurring species". Included are R scripts and occurence datasets for running Generalized Boosted Models (GBM) species distribution models for the invasive species Cardamine impatiens, Celastrus orbiculatus, and Humulus japonicus. Also included are R scripts for building spatially explicit species co-occurrence matrices used for running joint species distribution models (specifically gjam models) in for plant communities in Minnesota based on the MN DNR plant releve dataset with a focus on incorporating the invasive species Cardamine impatiens, Celastrus orbiculatus, and Humulus japonicus as well as a case study for the native species Smilacina racemosa. The exact spatial location of each releve has been changed to a gridded position in order to protect the exact location. Raw releve data must be obtained from the MN DNR.

Description

The data includes occurrence records for Cardamine impatiens, Celastrus orbiculatus, Humulus japonicus, and Smilacina racemosa downloaded from EDDMaps on 7 Sept 2020. Also included are spatially explicit species co-occurrence presence/absences matrices for Cardamine impatiens, Celastrus orbiculatus, Humulus japonicus, and Smilacina racemosa.

Referenced by

Related to

item.page.isreplacedby

License

Attribution 3.0 United States
http://creativecommons.org/licenses/by/3.0/us/

Publisher

Funding Information

Minnesota Invasive Terrestrial Plants and Pests through the Environmental and Natural Resources Trust Fund

item.page.sponsorshipfunderid

item.page.sponsorshipfundingagency

item.page.sponsorshipgrant

Previously Published Citation

Other identifiers

Suggested Citation

Briscoe Runquist, Ryan D.; Lake, Thomas A.; Moeller, David A.. (2021). Data and Scripts for manuscript "Improving predictions of range expansion for invasive species using joint species distribution models and surrogate co-occurring species". Retrieved from the Data Repository for the University of Minnesota (DRUM), https://doi.org/10.13020/93r8-zk72.

Content distributed via the University Digital Conservancy may be subject to additional license and use restrictions applied by the depositor. By using these files, users agree to the Terms of Use. Materials in the UDC may contain content that is disturbing and/or harmful. For more information, please see our statement on harmful content in digital repositories.