Seven Shortfalls that Beset Large-Scale Knowledge of Biodiversity
University of Lisbon · Museo Nacional de Ciencias Naturales · +6 more institutions
Abstract
Ecologists 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…
Citation impact
- FWCI
- 54.56
- Percentile
- 100%
- References
- 190
Authors
6- JHJoaquín HortalCorresponding
University of Lisbon, Museo Nacional de Ciencias Naturales, Universidade Federal de Goiás
- FDFrancesco de Bello
University of South Bohemia in České Budějovice, Czech Academy of Sciences, Institute of Botany
- JAJosé Alexandre Felizola Diniz‐Filho
Universidade Federal de Goiás
- TMThomas M. Lewinsohn
Universidade Estadual de Campinas (UNICAMP)
- JMJorge M. Lobo
Museo Nacional de Ciencias Naturales
Topics & keywords
- Biodiversity
- Generality
- Scale (ratio)
- Ecology
- Data science
- Taxonomy (biology)
- Environmental resource management
- Geography
- Life in Land