Procrustean beds and empty boxes: on the magic of creating environmental data
Jarić, Ivan; Quétier, Fabien; Meinard, Yves (2019), Procrustean beds and empty boxes: on the magic of creating environmental data, Biological Conservation, 237, p. 248-252. 10.1016/j.biocon.2019.07.006
Type
Article accepté pour publication ou publiéDate
2019Journal name
Biological ConservationVolume
237Publisher
Elsevier
Pages
248-252
Publication identifier
Metadata
Show full item recordAuthor(s)
Jarić, IvanInstitute of Hydrobiology
Quétier, Fabien
Meinard, Yves
Laboratoire d'analyse et modélisation de systèmes pour l'aide à la décision [LAMSADE]
Abstract (EN)
This article explores a dark side of the current enthusiasm for compiling large datasets in support of evidence-based conservation, at various scales. We use a series of concrete examples to show how data gathered in biodiversity databases can be poorly informative for the design and implementation of effective conservation strategies and actions. This is due to two mechanisms. The first is the use of ill-advised formats, compelling contributors to fill in data which are at odds with the ecological information that they are truly able to capture. The second corresponds to the fact that, unless knowledge gaps are explicitly and emphatically highlighted, the elaboration of databases bestows visibility on knowledge and invisibility on knowledge gaps. Given these risks, we call for a cultural shift among conservation practitioners, consultants and others, to embrace the idea that documenting and acknowledging knowledge gaps and uncertainties is just as important as compiling data and taking known information into account. We also propose a series of concrete reforms to address these risks. In particular, we point the need for procedural improvements in the process through which conservation databases are elaborated and we suggest introducing differentiated data sharing policies for conservation databases.Subjects / Keywords
Biodiversity databases; Knowledge-gaps; Conservation policies; Data sharing policiesRelated items
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