Data from: Suppression of the invasive shrub Rhamnus cathartica using foliar herbicide and herbaceous revegetation depends on canopy openness and the number and timing of interventions
Data files
Jan 30, 2026 version files 1.32 MB
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big_plot_design.csv
5.64 KB
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BigPlot_HerbComp.csv
392.96 KB
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BigPlot_Light.csv
626.74 KB
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BigPlot_TransectSurveys.csv
283.91 KB
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README.md
7.58 KB
Abstract
Many invasive shrubs re-establish quickly following initial management by resprouting vigorously from surviving stems and germinating from remaining seeds. Foliar herbicide is commonly used to treat resprouts but may not suppress re-invasion in the long-term since a single application is rarely comprehensive and many invaders recruit readily from seed. We tested whether follow-up foliar herbicide or herbaceous revegetation can suppress Rhamnus cathartica (common buckthorn) by creating 28 experimental blocks across seven sites in Minnesota, USA. We imposed a factorial combination of revegetation seeding (sown in spring 2017 or left to passive restoration) using a mix of 32 graminoid and forb species and foliar herbicide (fosamine ammonium) application timing (conventional timing – applied in fall 2017 and again in 2019 – or delayed timing – applied in 2019). We measured vegetation height, cover of functional groups, and buckthorn stem densities by size class in each of 2017, 2019, and 2021. Conventional timing of foliar herbicide initially reduced buckthorn density by 77 % and nearly extirpated buckthorn once completed, leaving only 0.6 % cover of buckthorn after two applications. Seeding increased the efficacy of herbicide such that seeded plots using conventional herbicide timing had the lowest cover of buckthorn and greatest amount of native vegetation. In delayed herbicide plots, seeding did not effectively reduce buckthorn cover or density. Abundance of herbaceous understory plants increased with canopy openness, especially with native seed addition. Using both repeated application of foliar herbicide and revegetation resulted in the lowest cover and density of buckthorn, therefore reducing needs for future interventions.
Dataset DOI: 10.5061/dryad.zkh1893qc
Description of the data and file structure
Metadata for the manuscript: Suppression of the invasive shrub Rhamnus cathartica using foliar herbicide and herbaceous revegetation depends on canopy openness and the number and timing of interventions
Submitted for publication at Forest Ecology and Management
This README provides a brief description of the files associated with this project, and then for each file, we provide a description of each column variable.
This archive contains four data files.
SHEET DESCRIPTIONS
Files
big_plot_design.csv
BigPlot_HerbComp.csv
BigPlot_Light.csv
BigPlot_TransectSurveys.csv
VARIABLE DESCRIPTIONS
big_plot_design - metadata on experimental transects (each row is a transect)
site - site name (of 7 sites)
block_ID - formated as site-block, where block names are colors (black, gray, white, blue, red, yellow)
transect_ID - formatted as site-block-transect, where transect names are letters (ex. A,B,C,D)
transect_code - unique identifier for each experimental transect in the study (T1-T112)
transect_width_m - width in meters of the experimental transect (either 12 or 24)
seeded - was the transect seeded (yes or no)
herbicide - was the transect treated with foliar herbicide in 2019 (yes or no)
BigPlot_HerbComp - data for Robel method estimation of vegetation height
set - sample timing (formatted as year_season)
date_yyyy_mm_dd - date of sample
people - names of technicians associated with the sample data
site - name of site (7 total sites)
block - block name within site wh,ere block names are colors (black, gray, white, blue, red, yellow)
transect - transect name within block, where transect names are letters (ex. A,B,C,D)
position - location of sample quadrat along the transect. Possible positions are 0,5,10,15,or 20. These represent distance in m from transect origin.
robel_1_low - Robel pole estimation of minimum vegetation height in decimeters (10th of meter)
robel_1_high - Robel pole estimation of maximum vegetation height
robel_2_low - Robel pole estimation of minimum vegetation height from different angle as measurement 1
robel_2_high - Robel pole estimation of maximum vegetation height from different angle as measurement 1
woody_percent - visually estimated percent cover of woody vegetation within quadrat
buckthorn_percent - visually estimated percent cover of Rhamnus cathartica within quadrat
herbaceous_percent - visually estimated percent cover of all herbaceous species within quadrat
grass_percent - visually estimated percent cover of all graminoid species within quadrat
forb_percent - visually estimated percent cover of all forb species within quadrat
block_ID - formated as site-block, where block names are colors (black, gray, white, blue, red, yellow)
transect_ID - formatted as site-block-transect, where transect names are letters (ex. A,B,C,D)
robel_mean_low - mean of robel_1_low and robel_2_low
robel_mean_high - mean of robel_1_high and robel_2_high
BigPlot_Light
set - sample timing (formatted as year_season)
date_yyyy_mm_dd - date of sample
people - names of technicians associated with the sample data
site - name of site (7 total sites)
block - block name within site wh,ere block names are colors (black, gray, white, blue, red, yellow)
transect - transect name within block, where transect names are letters (ex. A,B,C,D)
position - location of sample quadrat along the transect. Possible positions are 0,5,10,15,or 20. These represent distance in m from transect origin.
time_hh_mm_24hr - time of day of PAR measurement (ex. 19:40)
PAR_ground_1 - PAR measurement at the ground
PAR_ground_2 - second measurement within the same quadrat/position of PAR at the ground (in later sample dates)
PAR_forested - PAR at chest height ~1.3m
PAR_open - PAR measured simultaneously in a nearby clearing or forest opening
instrument_ground - make and model of light sensor for PAR_ground
instrument_forested - make and model of light sensor for PAR_forested
instrument_open - make and model of light sensor for PAR_open
block_ID - formated as site-block, where block names are colors (black, gray, white, blue, red, yellow)
transect_ID - formatted as site-block-transect, where transect names are letters (ex. A,B,C,D)
ground_standardized - PAR measurement from PAR_ground_1 corrected for known calibration differences among instruments
forested_standardized - PAR measurement from PAR_forested corrected for known calibration differences among instruments
open_standardized - PAR measurement from PAR_open corrected for known calibration differences among instruments
total_interception_percent - calculated as 1 - ground_standardized divided by open_standardized
canopy_interception_percent - calculated as 1 - forested_standardized divided by open standardized
understory_interception_percent - calculated as 1 - ground_standardized divided by forested_standardized
understory_interception_percent_min0 - understory_interception_percent adjusted so minimum values are equal to zero
total_penetration_percent - calculated as 100 minus total_interception_percent
canopy_penetration_percent - calculated as 100 minus canopy_interception_percent
understory_penetration_percent - calculated as 100 minus understory_interception_percent
total_penetration_percent_ln - natural log of total_penetration_percent
canopy_penetration_percent_ln - natural log of canopy_penetration_percent
understory_penetration_percent_ln - natural log of understory_penetration_percent
BigPlot_TransectSurveys
set - sample timing (formatted as year_season)
date_yyyy_mm_dd - date of sample
people - names of technicians associated with the sample data
site - name of site (7 total sites)
block - block name within site wh,ere block names are colors (black, gray, white, blue, red, yellow)
transect - transect name within block, where transect names are letters (ex. A,B,C,D)
position - location of sample quadrat along the transect. Possible positions are 0,5,10,15,or 20. These represent distance in m from transect origin.
count_germinants - count of buckthorn germinants in the 1 square meter sample at that position
count_0_20 - count of buckthorn with a height lower than 20cm in the 1 square meter sample at that position
count_21_50 - count of buckthorn with a height between 21 and 50cm in the 1 square meter sample at that position
count_51_100 - count of buckthorn with a height between 51 and 100cm in the 1 square meter sample at that position
count_101_150 - count of buckthorn with a height between 101 and 150cm in the 1 square meter sample at that position
count_150_plus - count of buckthorn taller than 150cm in the 1 square meter sample at that position
block_ID - formated as site-block, where block names are colors (black, gray, white, blue, red, yellow)
transect_ID - formatted as site-block-transect, where transect names are letters (ex. A,B,C,D)
Treatment_herbicide - was the transect treated with foliar herbicide in 2019 (yes or no)
Treatment_seeded - was the transect seeded (yes or no)
Note: in all cases an value of "NA" indicates that the corresponding data was not collected in accordance to the expeirmental design (i.e. that metric is not applicable in the listed context).
