parkins_2025_forest_disturbance

15,636 rated or chosen profiles from 2,606 respondents, in up to 6 tasks of 1 profile varying on 5 attributes.

About this table

DescriptionResidents of Alberta, Saskatchewan and Manitoba (online, n = 2,606) rated the acceptability (-5 to +5) of 6 of 54 one-sentence forest-management scenarios varying the managing agency, forest area type, disturbance type (wildfire, insects/disease, harvest), size and severity.
ReferenceParkins, J., Andison, D., Sponarski, C., & Nock, C. (2025). Forest disturbance preferences in the western forest regions of Canada [Data set]. Borealis.
LicenceCC0 1.0
Source datahttps://doi.org/10.5683/SP3/0MHZOJ

Notes

These notes describe the source data, which the IRW reproduces as released. All notes are listed on the Data Notes page.

Size and shape

Respondents2,606
Rows (one per respondent, task and profile)15,636
Tasks per respondent (most)6
Profiles per task1
Attributes5

Design

Topicclimate energy environment
A profile representsscenario
CountryCA
Language shownen
Language of stored levelsen
Randomization restrictionsyes (stated by the source): 54 fixed scenarios (a fraction of 3 agencies x 3 areas x 9 disturbance types x 3 sizes x 3 severities) in two fold-over blocks of 27; each respondent rated 6 drawn across them
Task orderinferred from row order
Profile positionrecorded in the deposit

Because the attribute levels were not randomized independently, an estimator has to account for the restriction; a plain difference in means across levels can mislead. Task order or profile position was rebuilt from row order; analyses of position or task order should leave it out.

Outcomes:

ratingPlease indicate how acceptable the following management scenario are to you based on the combination of the (1) management agency responsible, (2) forest area type, (3) disturbance types, (4) size and (5) severity given in each scenario indicate. Use the scale ranging from completely acceptable (+5) to completely unacceptable (-5). [rating, 1 (Completely unacceptable -5) to 11 (Completely acceptable +5)]

Columns

attr_agencyattr_areaattr_disturbanceattr_severityattr_sizecov_age_groupcov_communitycov_duration_seccov_educationcov_forest_distancecov_gendercov_sampleidprofileratingtasktrial_foldover_blocktrial_scenario

The layout (one row per respondent, task and profile; choice/rating outcomes; attr_ columns holding each attribute level as displayed) is defined in the IRW conjoint standard. What the outcomes asked is under Design above.

Get the data

Download CSVno account neededBrowse on Redivisexplore and queryCroissant metadataHugging Face, Kaggle, OpenML

Or load it directly in R or Python (both need a free Redivis account; the first call opens a browser to sign in):

# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("parkins_2025_forest_disturbance", source = "conj")
# Python
pip install irw

import irw
df = irw.fetch("parkins_2025_forest_disturbance", source="conj")

How to cite

@misc{https://doi.org/10.5683/sp3/0mhzoj,
  doi = {10.5683/SP3/0MHZOJ},
  url = {https://borealisdata.ca/citation?persistentId=doi:10.5683/SP3/0MHZOJ},
  author = {Parkins, John and Andison, David and Sponarski, Carly and Nock, Charles},
  keywords = {Earth and Environmental Sciences, Social Sciences},
  title = {Forest disturbance preferences in the western forest regions of Canada},
  publisher = {Borealis},
  year = {2025}
}

Version and provenance

IRW versionv584
Redivis datasetirw_conjoint v4.2
Redivis dataset DOI10.57761/qkye-q530
Manifest pin for this IRW versionv4.2
Metadata sourceirw_meta v44.0