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Prospects and perils in the geospatial turn of conservation
Sze, Jocelyne Shimin (Universitat Autònoma de Barcelona. Institut de Ciència i Tecnologia Ambientals)
Sauls, Laura Aileen (George Mason University)

Data: 2025
Resum: Conservation has embraced advances in big data and related digital technologies as key to preventing biodiversity loss, especially in the identification of areas of conservation priority based on spatial data, which we call the big geospatial data turn. This turn has led to the proliferation of useful methods and tools, including global geospatial maps. But these methods may also undermine moves toward rights-based and inclusive conservation approaches that consider plural values and perspectives. We built on the burgeoning literature to call for greater attention to be paid to the datasets, methodological choices, and the assumptions global mapping for biodiversity conservation is based on. In increasingly prioritizing the use of big geospatial data, conservation professionals risk forgetting that maps show only partial information and limit the diversity of ways of seeing and representing the world. Big geospatial data collected through remotely sensed technologies must still be situated in time and place and provided with appropriate political-economic and sociocultural contexts. Further, global mapping efforts remain primarily the purview of Global North researchers, even given the push to make data open access. Instead of uncritically calling for more data, we urge conservationists to contextualize and situate big geospatial data carefully so as to build a field that achieves socially just and ecologically effective conservation outcomes.
Ajuts: European Commission 101054259
Nota: Altres ajuts: acords transformatius de la UAB
Nota: Unidad de excelencia María de Maeztu CEX2019-000940-M
Drets: Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, la comunicació pública de l'obra i la creació d'obres derivades, fins i tot amb finalitats comercials, sempre i quan es reconegui l'autoria de l'obra original. Creative Commons
Llengua: Anglès
Document: Article ; recerca ; Versió publicada
Matèria: Big geospatial data ; Data justice ; Decision-making ; GIS ; Global maps ; Justicia de datos ; Macrodatos geoespaciales ; Mapas globales ; SIG ; Toma de decisiones
Publicat a: Conservation biology, (2025) , art. e70145, ISSN 1523-1739

DOI: 10.1111/cobi.70145
PMID: 40923094


10 p, 464.1 KB

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 Registre creat el 2025-10-01, darrera modificació el 2025-11-09



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