Navigating data challenges in socioeconomic impact assessments of conservation regimes
© 2025 The Author(s). Conservation Biology published by Wiley Periodicals LLC on behalf of Society for Conservation Biology.
| Veröffentlicht in: | Conservation biology : the journal of the Society for Conservation Biology. - 1989. - 39(2025), 2 vom: 01. Apr., Seite e14457 |
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| Weitere Verfasser: | , , , , , , , , , |
| Format: | Online-Aufsatz |
| Sprache: | English |
| Veröffentlicht: |
2025
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| Zugriff auf das übergeordnete Werk: | Conservation biology : the journal of the Society for Conservation Biology |
| Schlagworte: | Journal Article Review 30×30 Global Biodiversity Framework Marco Global de Biodiversidad accesibilidad a datos data availability and accessibility diseños de investigación cuasiexperimental disponibilidad de datos indicadores de bienestar mehr... |
| Zusammenfassung: | © 2025 The Author(s). Conservation Biology published by Wiley Periodicals LLC on behalf of Society for Conservation Biology. Scholars are increasingly assessing the impact of conservation interventions at national and regional scales with robust causal inference methods designed to emulate randomized control trials (quasi-experimental methods). Although spatial and temporal data to measure habitat loss and gain with remote sensing tools are increasingly available, data to measure spatially explicit poverty and human well-being at a high resolution are far less available. Bridging this data gap is essential to assess the social outcomes of conservation actions at scale and improve understanding of socioenvironmental synergies and trade-offs. We reviewed the kinds of socioeconomic data that are publicly available to measure the effects of conservation interventions on poverty and well-being, including national census data, representative household surveys funded by international organizations, surveys collected for individual research programs, and high-resolution gridded poverty and well-being data sets. We considered 4 challenges in the use of these data sets: consistency and availability of indicators and metrics across regions and countries, availability of data at appropriate temporal and spatial resolutions, and technical considerations associated with data available in different formats. Potential workarounds to these challenges include analytical methods to help resolve data mismatches and the use of emerging data products |
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| Beschreibung: | Date Completed 01.04.2025 Date Revised 01.04.2025 published: Print Citation Status MEDLINE |
| ISSN: | 1523-1739 |
| DOI: | 10.1111/cobi.14457 |