Non-native plants have invaded much of the western United States over the past 100 years. Most of these invasive species are early-successional, yet they appear to persist for decades. The goal of this research was to describe non-native and native plant abundance in ex-arable and adjacent undisturbed fields over time.
Author ORCID Identifier
Andrew Kulmatiski https://orcid.org/0000-0001-9977-5508
Karen Beard https://orcid.org/0000-0003-4997-2495
Utah Agricultural Experiment Station
Utah State University
Plant species abundances were measured in 25 fields that represent a 52-year chronosequence of agricultural abandonment. These fields were monitored for 13 years from 2002 to 2015. In each field species abundances was measured using visual observations in 15, 1m2 quadrats located 5 meters or 50 meters from historic tillage boundaries. Five and 50 meter transects were located both within and outside of historically tilled fields. More information can be found in Exotic plants establish persistent communities in Plant Ecology volume 187, issue 2, pages 261-275 (2006); https://doi.org/10.1007/s11258-006-9140-5
Each row of data includes the percent ground cover of each species in a quadrat as determined by visual observation.
Data from the first three years in this dataset were described by Kulmatiski in:
Kulmatiski, A. (2006). Exotic plants establish persistent communities. Plant Ecology, 187(2), 261–275. https://doi.org/10.1007/s11258-006-9140-5
Research was conducted over a roughly 25 km stretch of the Methow Valley centered around Twisp to Winthrop, WA, USA.
Data is contained in one file named Winthropvegetation.csv. Species codes are described in speciescodes.csv.
This work is licensed under a Creative Commons Attribution 4.0 License.
Kulmatiski, A., & Beard, K. (2018). Thirteen years of vegetation chronosequence data in ex-arable and undisturbed fields near Winthrop, Washington, USA. Utah State University. https://doi.org/10.15142/T3XM19
Additional Filesreadme.txt (5 kB)
winthropvegetation.csv (4092 kB)
speciescodes.csv (7 kB)