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Title

Seven shortfalls that beset large-scale knowledge of biodiversity

AuthorsHortal, Joaquín ; de Bello, Francesco ; Diniz-Filho, J.A.F.; Lewinsohn, T.M.; Lobo, Jorge M. ; Ladle, Richard
KeywordsUncertainty
Macroecology
Knowledge shortfalls
Functional ecology
Bias
Scientific ignorance
Biodiversity data
Issue Date2015
PublisherAnnual Reviews
CitationAnnual Review of Ecology Evolution and Systematics 46: 523-549 (2015)
AbstractEcologists and evolutionary biologists are increasingly using big-data approaches to tackle questions at large spatial, taxonomic, and temporal scales. However, despite recent efforts to gather two centuries of biodiversity inventories into comprehensive databases, many crucial research questions remain unanswered. Here, we update the concept of knowledge shortfalls and review the tradeoffs between generality and uncertainty. We present seven key shortfalls of current biodiversity data. Four previously proposed shortfalls pinpoint knowledge gaps for species taxonomy (Linnean), distribution (Wallacean), abundance (Prestonian), and evolutionary patterns (Darwinian). We also redefine the Hutchinsonian shortfall to apply to the abiotic tolerances of species and propose new shortfalls relating to limited knowledge of species traits (Raunkiæran) and biotic interactions (Eltonian). We conclude with a general framework for the combined impacts and consequences of shortfalls of large-scale biodiversity knowledge for evolutionary and ecological research and consider ways of overcoming the seven shortfalls and dealing with the uncertainty they generate.
URIhttp://hdl.handle.net/10261/155627
DOIhttp://dx.doi.org/10.1146/annurev-ecolsys-112414-054400
Identifiersdoi: 10.1146/annurev-ecolsys-112414-054400
issn: 1545-2069
Appears in Collections:(MNCN) Artículos
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