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Published August 28, 2021 | Version v1
Dataset Open

Data from: Predicting range expansion of invasive species: pitfalls and best practices for obtaining biologically realistic projections

  • 1. University of Minnesota

Description

Species Distribution Models (SDM) for seven invasive plant species in North America. Species distribution models (SDMs) are widely used to forecast potential range expansion of invasive species. However, invasive species occurrence datasets often have spatial biases that may violate key SDM assumptions. We examined alternative methods of spatial bias correction and multiple methods for model evaluation for seven invasive plant species. Species SDMs include Common Tansy (Tanacetum vulgare), Wild Parsnip (Pastinaca sativa), Leafy Spurge (Euphorbia virgata), Common Teasel (Dipsacus fullonum), Brown Knapweed (Centaurea jacea), Black Swallowwort (Vincetoxicum nigrum), and Dalmatian Toadflax (Linaria dalmatica). 

Notes

Model predictions are formatted as GeoTiff (TIF) files. Model selection matrix to summarize model output statistics and README file included.

Funding provided by: Legislative-Citizen Commission on Minnesota Resources
Crossref Funder Registry ID: http://dx.doi.org/10.13039/100013423
Award Number: CON000000051140

Files

Model_Selection_Matrix.csv

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Additional details

Related works

Is cited by
10.13020/z71w-jx69 (DOI)