Title:

Data and R source code for "Fire severity and changing composition of forest understory plant communities"

Author(s):

Fornwalt, Paula J.; Stevens, Jens T.; Miller, Jesse E. D.;

Publication Year:

2019

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:

Fornwalt, Paula J.; Stevens, Jens T.; Miller, Jesse E. D. 2019. Data and R source code for "Fire severity and changing composition of forest understory plant communities". Fort Collins, CO: Forest Service Research Data Archive. https://doi.org/10.2737/RDS-2019-0031

Abstract:

This data publication includes all data and R source code for "Fire severity and changing composition of forest understory plant communities" by Stevens et al. (IN PRESS). The data capture pre-fire (1996-1997) and post-fire (2003-2012) vascular understory plant community composition for 20 0.1-hectare (ha) plots in a 400-ha dry conifer forest site that burned with a range of fire severities in the 2002 Hayman Fire, Colorado, USA. The data also capture plot environmental characteristics and characteristics of the plant taxa in the communities. The R source code uses the data to examine how gradients of fire severity affected the presence of cool-mesic and warm-xeric taxa over the study period, defined here according to taxa biogeographic affinity of paleobotanical lineages.

Keywords:

biota; environment; Ecology, Ecosystems, & Environment; Plant ecology; Fire; Fire ecology; biodiversity; biogeographic affinity; dry conifer forests; fire; Hayman Fire; thermophilization; understory; Joint Fire Science Program; JFSP; Colorado; Hayman Fire; Pike National Forest

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