Title:

Invasive plant probability prediction outputs and code for paper "Modelling species distributions and environmental suitability highlights risk of plant invasions in western United States"

Author(s):

McMahon, Devin E.; Urza, Alexandra K.; Brown, Jessi L.; Phelan, Conor; Chambers, Jeanne C.

Publication Year:

2021

How to Cite:

These data were collected using funding from the U.S. Government and can be used without additional permissions or fees. If you use these data in a publication, presentation, or other research product please use the following citation:

McMahon, Devin E.; Urza, Alexandra K.; Brown, Jessi L.; Phelan, Conor; Chambers, Jeanne C. 2021. Invasive plant probability prediction outputs and code for paper "Modelling species distributions and environmental suitability highlights risk of plant invasions in western United States". Fort Collins, CO: Forest Service Research Data Archive. https://doi.org/10.2737/RDS-2020-0078

Abstract:

This data publication contains predictive maps of probability of presence of 15 invasive species across the arid and semi-arid western United States, and custom R functions used to generate them from downloaded publicly available survey data. Input data were collected 1940-2020, with 50% of the data collected since 2002. We modeled species distribution using presence/absence data from > 148,000 vegetation survey plots to predict the probability of presence of each species based on associated climate, soil, topography, and disturbance records. Methods for deriving these predictions and caveats for their use are described in McMahon et al. (2021), with summary information included in this data package. This package includes two rasters of predicted probability of occurrence per species, one representing the area within a buffer distance to known presence of the species where the model was trained and evaluated, and one covering the arid and semi-arid Environmental Protection Agency Level III ecoregions where the species was observed (lower confidence outside model training area).

Keywords:

biota; environment; Ecology, Ecosystems, & Environment; Plant ecology; Forest & Plant Health; Botany; Rangeland plants; Inventory, Monitoring, & Analysis; Monitoring; species distribution modelling; climate suitability; invasive plants; grasses; forbs; arid; semiarid; area under the precision-recall curve; AUPRC; Joint Fire Science Program; JFSP; Bromus japonicus; Bromus rubens; Bromus tectorum; Schismus barbatus; Taeniatherum caput-medusae; Poa bulbosa; Ceratocephala testiculata; Draba verna; Erodium cicutarium; Halogeton glomeratus; Lactuca serriola; Lepidium perfoliatum; Salsola tragus; Sisymbrium altissimum; Tragopogon dubius; western United States; Nevada; Utah; Colorado; Wyoming; Oregon; Washington; Idaho; Montana; California; Arizona; New Mexico; North Dakota; South Dakota

Related publications:

• McMahon, Devin E.; Urza, Alexandra K.; Brown, Jessi L.; Phelan, Conor; Chambers, Jeanne C. 2021. Modelling species distributions and environmental suitability highlights risk of plant invasions in western United States. Diversity and Distributions. https://doi.org/10.1111/ddi.13232

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  • RDS-2020-0078_Supplements.zip (141.09 KB; Checksum)
  • RDS-2020-0078_Data.zip (23.1 GB; Checksum)

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