Open Access. Powered by Scholars. Published by Universities.®

Physical Sciences and Mathematics Commons

Open Access. Powered by Scholars. Published by Universities.®

Book Gallery

2022

Natural Resources and Conservation

University of Massachusetts Amherst

Articles 1 - 2 of 2

Full-Text Articles in Physical Sciences and Mathematics

Shifting Hotspots: Climate Change Projected To Drive Contractions And Expansions Of Invasive Plant Abundance Ranges, Annette Evans, Evelyn M. Beaury, Peder S. Engelstad, Nathan B. Teich, Bethany A. Bradley Jan 2022

Shifting Hotspots: Climate Change Projected To Drive Contractions And Expansions Of Invasive Plant Abundance Ranges, Annette Evans, Evelyn M. Beaury, Peder S. Engelstad, Nathan B. Teich, Bethany A. Bradley

Data and Datasets

This file contains maps of current and future abundance suitable habitat for 144 invasive plant species in the United States. Each tiff file represents the current or future range prediction maps of habitat suitable for supporting abundant populations (greater than or equal to 5% cover) of 144 invasive plant taxa, projected across the lower 48 States of the United States. Each tiff file is named with the USDA species code (SpCode) (see '1Species_information_Nov15.xlsx' file for full species names), with species codes followed by .2c indicating maps related to future climatic conditions under a +2oC warming scenario. Areas predicted to be …


Data For << Shifting Hotspots: Climate Change Projected To Drive Contractions And Expansions Of Invasive Plant Abundance Ranges>>, Annette Evans, Evelyn M. Beaury, Peder S. Engelstad, Nathan B. Teich, Bethany A. Bradley Jan 2022

Data For << Shifting Hotspots: Climate Change Projected To Drive Contractions And Expansions Of Invasive Plant Abundance Ranges>>, Annette Evans, Evelyn M. Beaury, Peder S. Engelstad, Nathan B. Teich, Bethany A. Bradley

Data and Datasets

Invasive plant abundance data. Abundance data for 175 invasive plant species across the lower 48 United States. Each abundance record includes a UniqueID (numbers or characters that appeared to be a unique ID from the original dataset), the dataset from which the datapoint was derived from (see dataset_information.csv file for additional information on each dataset), decimal Longitude (Long), decimal Latitude (Lat), Species Code (SpCode, unique species identifier from USDA PLANTS database), cover (percentage cover), and CoverType (the type of abundance measurement in the cover column; either PercentCover, CoverClass, or AverageCoverClass).