Relational Values and Conservation Citizenship Survey, Cerro Castillo National Park Buffer Zone, Chile (FONDECYT 1230020)

Published: 16 March 2026| Version 1 | DOI: 10.17632/cf69gj7ndg.1
Contributors:
Trace Gale,

Description

The dtSEM_RV dataset is an anonymised individual-level file available in XLSX and RData formats, containing survey responses from 310 landowners and residents within a 10-km buffer zone surrounding Cerro Castillo National Park, Aysén Region, Chilean Patagonia, collected between 2023 and 2025 as part of FONDECYT Regular Project 1230020 (Sustainable Territorial Transitions Integrative Stewardship Planning, ST2ISP). Each row represents one respondent. Columns include: (i) raw questionnaire items (Q14–Q52) covering land tenure, land use, intentions, attitudes and behaviours; (ii) socio-demographic variables including gender, age group, education, income, household composition and municipality; and (iii) derived indicators and indices used in the structural equation modelling analysis. Derived indicators comprise reflective indicators for relational values toward own land (RelaValueOL_1–_3) and toward the national park (RelaValueNP_1–_2), civic identity (delp_1, delp_2), norm compliance (CANor_1, CANor_2), civic behaviour (Solid_1–Solid_3) and participatory democracy (DoDemo_1–DoDemo_3). The dataset also includes log-transformed and percentile-based versions of behaviour-frequency items (Q30_1l–Q30_10l) and their aggregated sub-indices: Institutional Commitment (Compromiso_Institucional), Grassroots Action (Accion_Base), Capacity Building (Construccion_Capacidades), Participatory Breadth (Amplitud_Participativa), Participatory Depth (Profundidad_Total), Composite Behaviour Index A (IFCompA), Composite Behaviour Index B (IFCompB), Participatory Management (Gestion_Participativa) and the Do-Democracy Index (IDoDemo). The repository also includes the R analysis code used to conduct the structural equation modelling, including outer model evaluation, bootstrapping (5,000 iterations) and path coefficient estimation, implemented using the SEMinR package (version as specified in the code file) in R (version 4.4.1). The code is provided as an annotated R script (.R file) to enable full reproducibility of the analyses reported in the associated publication. This dataset corresponds to Version A of an A/B sample design. Version B data (place attachment subgroup, n = 331) will be made available upon publication of the companion paper. Data collection was approved by the Comité Ético Científico en Investigación con Seres Humanos of the Universidad Austral de Chile (approval code IRI11_23). All participants provided informed consent prior to participation. Data are fully anonymised; no personally identifiable information is included.

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