Dataset

Database Code

SS012

Title

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

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.

Keywords

history; wildfires; humans; H. J. Andrews Experimental Forest (AND); human dimensions; attitudes and perceptions

Date begin

2023-09-26

Date end

2024-08-05

Principal Investigator

Michael P. Nelson

Entities

1. Lookout fire (2023) interview documents

1. Lookout fire (2023) interview documents - Attribute list

Attribute definitions

CHECKSUM

Hash sum (MD5) represented by the digital file

CREATOR

Document creator

DBCODE

FSDB Database Code

DESCRIPTION

Document description

DOC_ID

Unique document identification code

DOC_URL

Link to download document

ENTITY

Entity number

FILENAME

Document filename

FILE_DATE

Date associated with document

FILE_FORMAT

Document format

PAGES

Number of pages within the document

SIZE_BYTE

Physical size (bytes) of document on server

TITLE

Document title

Enumerated domains

Enumerated domain for attribute: DBCODE

Enumerated domain for attribute: CREATOR

Enumerated domain for attribute: FILE_FORMAT