Data and Scripts for manuscript "Improving predictions of range expansion for invasive species using joint species distribution models and surrogate co-occurring species"
Georeferenced: false
- More details at:
- https://doi.org/10.13020/93r8-zk72
- Alternative Title:
- Data and Scripts for manuscript "Improving predictions of range expansion for invasive species using joint species distribution models and surrogate co-occurring species"
- Description:
- Click "Visit Source" to download CSV data. 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. 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.
- Creator:
- Briscoe Runquist, Ryan D., Lake, Thomas A., and Moeller, David A
- Provider:
- University of Minnesota
- Resource Class:
- Datasets
- Resource Type:
- Table data and Line data
- Theme:
- Biology
- Temporal Coverage:
- 2020
- Date Issued:
- 2021-01-20
- Spatial Coverage:
- United States
- Rights:
-
https://conservancy.umn.edu/pages/drum/policies/#terms-of-use
- License:
- https://creativecommons.org/licenses/by/3.0/us/
- Access Rights:
- Public
- Format:
- Shapefile
- File Size:
- 2.882Mb