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SS012: Interviews with members of the HJA Community during the Lookout Fire, HJ Andrews Experimental Forest, 2023

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Status: notPlanned
Period: 2023-09-26 to 2024-08-05
Version: 2
Published: 2024-10-09
EDI Package ID: knb-lter-and.12131.2
Source XML: SS012_2.xml

Notice

"As Is" Basis: All content, including maps and forecasts, is provided without warranties. Users are advised to independently verify critical information.

Citation

Rapp, C.; Nelson, M. 2024. Interviews with members of the HJA Community during the Lookout Fire, HJ Andrews Experimental Forest, 2023 Long-Term Ecological Research Andrews Forest LTER Site. [Database]. Available: https://andrewsforest-stage.forestry.oregonstate.edu/data/fsdb-data-catalog/SS012 Accessed 2026-05-10.

Abstract

This dataset records the interview instrument, analytical codebook, and summary of results for the 2023 Lookout Fire Qualitative Interviews. Data was collected in 2023 in Corvallis, Oregon, and over Zoom. Members of the H. J. Andrews Experimental Forest (HJA) community (e.g., university faculty and administrative professionals, agency scientists and personnel, students, alumni and emeritus from the aforementioned communities) were interviewed between September 26th and November 8th 2023. At the time, the fire had largely stopped growing (no significant runs occurred during the interview period), but the fire was not fully contained and the fire severity was not yet known by the community. Data collection is complete. The interview included questions about emotional reactions to the Lookout Fire, current and foreseen impacts to research at the HJA, social relationships and the fire, naturalness of the fire, and climate change, climate anxiety, and the fire. Interviews were semi-structured; while interviews were guided by the interview protocol, conversation was allowed to proceed organically. In total, 40 respondents were interviewed. Interviews were transcribed verbatim and analyzed inductively and deductively. A finalized codebook was developed iteratively; the included codebook are the final codes used to analyze the full dataset. Interview transcripts and other potentially identifying information is not available to protect respondent confidentiality and anonymity. This dataset summarizes the key interview results.

Coverage

Temporal coverage: 2023-09-26 to 2024-08-05

Geographic coverage: Interviewees were primarily working or residing in Oregon, Washington, and California at time of interviews.

Spatial coverage:

Bounds: W -122.26172200, E -122.10084700, N 44.28196400, S 44.19770400

Purpose
  • The purpose of this study was to assess how members of the HJA community perceived and processed the Lookout Fire while it was still unfolding. The study examines cognitions in response to the fire, as well as several social and philosophical factors (e.g., connection to the community, beliefs about naturalness respectively) that may affect cognitions about the Lookout Fire.
Project

Title: Long-Term Ecological Research

Personnel
Abstract
  • The H.J. Andrews Experimental Forest is a living laboratory that provides unparalleled opportunities for the study of forest and stream ecosystems in the central Cascade Range of Oregon. Since 1980, as a part of the National Science Foundation Long Term Ecological Research (NSF-LTER) program, the Andrews Experimental Forest has become a leader in the analysis of forest and stream ecosystem dynamics.
  • Long-term field experiments and measurement programs have focused on climate dynamics, streamflow, water quality, and vegetation succession. Currently researchers are working to develop concepts and tools needed to predict effects of natural disturbance, land use, and climate change on ecosystem structure, function, and species composition.
  • The Andrews Experimental Forest is administered cooperatively by the USDA Forest Service Pacific Northwest Research Station, Oregon State University and the Willamette National Forest. Funding for the research program comes from the National Science Foundation (NSF), US Forest Service Pacific Northwest Research Station, Oregon State University, and other sources.
Funding

Data were provided by the HJ Andrews Experimental Forest research program, funded by the National Science Foundation's Long-Term Ecological Research Program (DEB 2025755), US Forest Service Pacific Northwest Research Station, and Oregon State University. National Science Foundation: DEB2025755

Awards
Study Area Description
  • Long-Term Ecological Research
    The Andrews Forest is situated in the western Cascade Range of Oregon, and covers the entire 15,800-acre (6400-ha) drainage basin of Lookout Creek. Elevation ranges from 1350 to 5340 feet (410 to 1630 m). Broadly representative of the rugged mountainous landscape of the Pacific Northwest, the Andrews Forest contains excellent examples of the region's conifer forests and associated wildlife and stream ecosystems. These forests are among the tallest and most productive in the world, with tree heights of often greater than 250 ft (75 m). Streams are steep, cold and clean, providing habitat for numerous aquatic organisms.
Associated Party
  • Michael P. Nelson
    Role: Principal Investigator
    Department of Forest Ecosystems and Society; 201K Richarson Hall; College of Forestry; Oregon State University, Corvallis, OR, 97331
    Phone: 541-737-9221
    Email: mpnelson@oregonstate.edu
  • Claire Rapp
    Role: Creator
    Email: claire.rapp@oregonstate.edu
  • Michael P. Nelson
    Role: Creator
    Department of Forest Ecosystems and Society; 201K Richarson Hall; College of Forestry; Oregon State University, Corvallis, OR, 97331
    Phone: 541-737-9221
    Email: mpnelson@oregonstate.edu
Contact
  • Information Manager
    Andrews Forest LTER Program, US Forest Service Pacific Northwest Research Station, 3200 SW Jefferson Way, Corvallis, OR, 97331
    Email: hjaweb@lists.oregonstate.edu
Publisher
  • Andrews Forest LTER Site
    Role: Publisher
    Forest Ecosystems and Society Department in Forestry, Oregon State University, 201K Richardson Hall, Corvallis, OR, 97331-5752
    Phone: (541) 737-8480
    Email: lterweb@lists.oregonstate.edu
Study Description

This dataset records the interview instrument, analytical codebook, and summary of results for the 2023 Lookout Fire Qualitative Interviews. Data was collected in 2023 in Corvallis, Oregon, and over Zoom. Members of the H. J. Andrews Experimental Forest (HJA) community (e.g., university faculty and administrative professionals, agency scientists and personnel, students, alumni and emeritus from the aforementioned communities) were interviewed between September 26th and November 8th 2023. At the time, the fire had largely stopped growing (no significant runs occurred during the interview period), but the fire was not fully contained and the fire severity was not yet known by the community. Data collection is complete. The interview included questions about emotional reactions to the Lookout Fire, current and foreseen impacts to research at the HJA, social relationships and the fire, naturalness of the fire, and climate change, climate anxiety, and the fire. Interviews were semi-structured; while interviews were guided by the interview protocol, conversation was allowed to proceed organically. In total, 40 respondents were interviewed. Interviews were transcribed verbatim and analyzed inductively and deductively. A finalized codebook was developed iteratively; the included codebook are the final codes used to analyze the full dataset. Interview transcripts and other potentially identifying information is not available to protect respondent confidentiality and anonymity. This dataset summarizes the key interview results. The purpose of this study was to assess how members of the HJA community perceived and processed the Lookout Fire while it was still unfolding. The study examines cognitions in response to the fire, as well as several social and philosophical factors (e.g., connection to the community, beliefs about naturalness respectively) that may affect cognitions about the Lookout Fire. Field Methods - SS012

Purpose: The purpose of this study was to assess how members of the HJA community perceived and processed the Lookout Fire while it was still unfolding. The study examines cognitions in response to the fire, as well as several social and philosophical factors (e.g., connection to the community, beliefs about naturalness respectively) that may affect cognitions about the Lookout Fire.

Methods

Method Steps

Field Methods - SS012
  • Members of the H. J. Andrews Experimental Forest (HJA) community (e.g., university faculty and administrative professionals, agency scientists and personnel, students, alumni and emeritus from the aforementioned communities) were interviewed between September 26th and November 8th 2023. A total of 40 respondents were interviewed. The research team used a pre-established interview protocol but the conversation was allowed to proceed organically and not constrained to the interview questions verbatim. Respondents first introduced themselves and reviewed their affiliation and work with the H. J. Andrews. They described how, if at all, their work was impacted by the Lookout Fire. Next, respondents described their emotional reaction to the fire, including whether or not they experienced grief. Then, respondents described how connected they felt to the HJA community as a whole and what impact the community has had on their experience with the fire, if any. Then respondents were asked a series of questions about how the Lookout Fire may or may not have impacted their beliefs about science and the environment. First, respondents described what they believe constituted meaningful science and research, and whether the Lookout Fire affected their beliefs, including how they believed the Lookout Fire would change science and research at the HJA. Then they were asked their perceptions about naturalness and wildfire, including what makes fires natural or unnatural, whether the Lookout Fire was a natural or unnatural fire, and how the un/naturalness of the Lookout Fire impacted their perceptions of it. Afterwards, respondents were asked about climate anxiety, their experience with it, and whether the Lookout Fire caused or exacerbated any feelings of climate change. Finally, respondents answered demographics questions.
Processing Procedures - SS012
  • Interviews were transcribed verbatim and analyzed in MaxQDA. A codebook for analysis was developed iteratively: first, preliminary codes were developed deductively based on the guiding research questions in the interview protocol and inductively based on key themes emerging through the transcripts. The codebook was iteratively refined through an intercoder reliability check. Once sufficient intercoder reliability and agreement was achieved, the codebook was considered finalized. One researcher used the finalized codebook to code the interviews. A summary of results for each major section of the interview protocol was created based on analysis of coded interviews.
Data Entry - SS012
  • Interviews were recorded electronically and transcribed verbatim. Verbatim interviews were analyzed and summarized to create the summary of results.

Sampling

Study Extent
  • Sampling frequency: one time
Sampling Description
  • A lightning strike ignited wildfire started on Lookout Mountain in the HJ Andrews Experimental Forest on August 5, 2023. The wildfire grew rapidly and required immediate evacuation of the area including all researchers and staff working on the forest in the middle of a busy field work season. To assess how members of the HJA community perceived and processed the 2023 Lookout Fire, interviews were conducted while the fire was still unfolding. Semi-structured interviews were conducted using a non-random sample of the HJA community, recruited through interviewer networks and snowball sampling. Interviews were conducted until saturation, i.e., until no new information was being revealed. Consequently, the frequency with which topics were mentioned in the interviews should not be considered statistically representative of the HJA community at large, or another population. To protect respondent confidentiality and anonymity, full interview transcripts are not available. Instead, a summary of key interview results is provided. The interview protocol and codebook are provided verbatim as used in data collection and analysis and are available for longitudinal data collection (i.e., future researchers conducting new interviews) while the Summary of Results provides a basis of comparison for future work.
Spatial Sampling Units
  • Andrews Experimental Forest (HJA)
    W -122.26172200, E -122.10084700, N 44.28196400, S 44.19770400
    Altitude: 1631 to 1631 meter
Software

No software entries listed in this EML file.

Keywords
  • LTER controlled vocabulary: history (theme), wildfires (theme), humans (theme)
  • Andrews Experimental Forest site thesaurus: H. J. Andrews Experimental Forest (AND) (theme), human dimensions (theme), attitudes and perceptions (theme)
Taxonomic Hierarchy

No taxonomic hierarchy listed in this EML file.

Data Entities
# Entity Metadata Data
1 SS01201
Lookout fire (2023) interview documents
Describes the documents created as a result of the interviews on the 2023 Lookout fire
METADATA DATA
Metadata
SS01201 - Lookout fire (2023) interview documents

Object name: SS01201_v1.csv

Records: 3

Attributes: 13

Temporal coverage: 2023-09-26 to 2024-08-05

File size: 867 byte

Checksum (MD5): e11987d5256acfdff62bda418e8f55d6

Format: headers=1, recordDelimiter=\r\n, fieldDelimiter=,, quoteCharacter=", orientation=column

Constraints (2)
  • primaryKey: PRIMARY
    SS01201.DOC_ID
  • notNullConstraint: NOTNULL
    SS01201.DBCODE, SS01201.ENTITY, SS01201.DOC_ID, SS01201.TITLE, SS01201.DESCRIPTION, SS01201.FILE_DATE, SS01201.CREATOR, SS01201.FILENAME, SS01201.FILE_FORMAT, SS01201.PAGES, SS01201.SIZE_BYTE, SS01201.DOC_URL, SS01201.CHECKSUM
Attributes (13)
DBCODE - char(5) (nominal)

ID: SS01201.DBCODE

FSDB Database Code

Type system: Microsoft SQL Server 2019

Code definitions (1)
  • SS012
    FSDB Database Study Code
ENTITY - numeric(2,0) (ratio)

ID: SS01201.ENTITY

Entity number

Type system: Microsoft SQL Server 2019

Unit: number

Precision: 1

Numeric domain: type=natural, min=1.0000 (exclusive=false), max=1.0000 (exclusive=false)

DOC_ID - char(9) (nominal)

ID: SS01201.DOC_ID

Unique document identification code

Type system: Microsoft SQL Server 2019

TITLE - char(30) (nominal)

ID: SS01201.TITLE

Document title

Type system: Microsoft SQL Server 2019

DESCRIPTION - char(75) (nominal)

ID: SS01201.DESCRIPTION

Document description

Type system: Microsoft SQL Server 2019

FILE_DATE - datetime (dateTime)

ID: SS01201.FILE_DATE

Date associated with document

Type system: Microsoft SQL Server 2019

Date format: YYYY-MM-DD

CREATOR - char(10) (nominal)

ID: SS01201.CREATOR

Document creator

Type system: Microsoft SQL Server 2019

Code definitions (1)
  • C. Rapp
    Claire Rapp
FILENAME - char(13) (nominal)

ID: SS01201.FILENAME

Document filename

Type system: Microsoft SQL Server 2019

FILE_FORMAT - char(3) (nominal)

ID: SS01201.FILE_FORMAT

Document format

Type system: Microsoft SQL Server 2019

Code definitions (1)
  • PDF
    Portable Document Format
PAGES - numeric(2,0) (ratio)

ID: SS01201.PAGES

Number of pages within the document

Type system: Microsoft SQL Server 2019

Unit: number

Precision: 1

Numeric domain: type=natural, min=4.0000 (exclusive=false), max=10.0000 (exclusive=false)

SIZE_BYTE - numeric(6,0) (ratio)

ID: SS01201.SIZE_BYTE

Physical size (bytes) of document on server

Type system: Microsoft SQL Server 2019

Unit: number

Precision: 1

Numeric domain: type=whole, min=187096.0000 (exclusive=false), max=242645.0000 (exclusive=false)

CHECKSUM - char(35) (nominal)

ID: SS01201.CHECKSUM

Hash sum (MD5) represented by the digital file

Type system: Microsoft SQL Server 2019

DOC_URL - char(80) (nominal)

ID: SS01201.DOC_URL

Link to download document

Type system: Microsoft SQL Server 2019

Units
number number dimensionless number dimensionless 1 dimensionless number, i.e., ratio, count
Intellectual Rights

Data Use Agreement:

The re-use of scientific data has the potential to greatly increase communication, collaboration and synthesis within and among disciplines, and thus is fostered, supported and encouraged. This Data Set is released under the Creative Commons license CC BY "Attribution" (see: https://creativecommons.org/licenses/by/4.0/). Creative Commons license CC BY - Attribution is a license that allows others to distribute, remix, tweak, and build upon your work (even commercially), as long as you are credited for the original creation. This license accommodates maximum dissemination and use of licensed materials.

It is considered professional conduct and an ethical obligation to acknowledge the work of other scientists. The Data User is asked to provide attribution of the original work if this data package is shared in whole or by individual parts or used in the derivation of other products. A recommended citation is provided for each Data Set in the Andrews LTER data catalog (see: http://andlter.forestry.oregonstate.edu/data/catalog/datacatalog.aspx). A generic citation is also provided for this Data Set on the website https://portal.edirepository.org in the summary metadata page. Data Users are thus strongly encouraged to consider consultation, collaboration and/or co-authorship with the Data Set Creator.

While substantial efforts are made to ensure the accuracy of data and associated documentation, complete accuracy of data sets cannot be guaranteed and all data are made available "as is." The Data User should be aware, however, that data are updated periodically and it is the responsibility of the Data User to check for new versions of the data. The data authors and the repository where these data were obtained shall not be liable for damages resulting from any use or misinterpretation of the data.

General acknowledgement: Data were provided by the HJ Andrews Experimental Forest research program, funded by the National Science Foundation's Long-Term Ecological Research Program (DEB 2025755), US Forest Service Pacific Northwest Research Station, and Oregon State University.

Licensed

License: Creative Commons Attribution 4.0 International Public License

Identifier: CC-BY-4.0

URL: https://creativecommons.org/licenses/by/4.0/

Maintenance

Maintenance update frequency: notPlanned

Description

  • An update history is logged and maintained with each new version of every dataset.

Change History

  • Version1 (2024-09-13)
    Study code and preliminary metadata established
  • Version2 (2024-10-09)
    Original creation of data entity; uploaded data.