Presence and cover of exotic annual and perennial grass species during five years post-fire on the Soda Wildfire
Dates
Publication Date
2021-11-15
Start Date
2016-04-18
End Date
2020-08-30
Citation
Applestein, C.V., 2021, Presence and cover of exotic annual and perennial grass species during five years post-fire on the Soda Wildfire: U.S. Geological Survey data release, https://doi.org/10.5066/P9TG16C5.
Summary
Data includes cover and presence (within microsites and 13 m radius plots) of three exotic annual grass, Bromus tectorum, Taeniatherum caput-medusae, and Ventenata dubia and presence (within microsites) of four perennial bunchgrass species (Agropyron cristatum, Pseudoroegneria spicata, Poa secunda, Elymus elymoides) within the first five years after the 2015 Soda wildfire. Additional landscape and weather covariates hypothesized to influence landscape resistance to invasion are included.
Summary
Data includes cover and presence (within microsites and 13 m radius plots) of three exotic annual grass, Bromus tectorum, Taeniatherum caput-medusae, and Ventenata dubia and presence (within microsites) of four perennial bunchgrass species (Agropyron cristatum, Pseudoroegneria spicata, Poa secunda, Elymus elymoides) within the first five years after the 2015 Soda wildfire. Additional landscape and weather covariates hypothesized to influence landscape resistance to invasion are included.
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PresenceCoverEAG_PBG_Postfire.xml Original FGDC Metadata
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PresenceCoverEAG_PBG_Postfire.csv
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Related External Resources
Type: Related Primary Publication
Applestein, C., and Germino, M.J., 2021, Patterns of post-fire invasion of semiarid shrub-steppe reveals a diversity of invasion niches within an exotic annual grass community: Biological Invasions, v. 24, no. 3, p. 741–759, https://doi.org/10.1007/s10530-021-02669-3.
The data were collected as part of the monitoring program designed for assessing vegetative recovery in the first five years after fire in order to make management decisions on treatment (and retreatment) and grazing. Data should be treated as an intensive case study.
