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Seven Shortfalls that Beset Large-Scale Knowledge of Biodiversity

Hortal, Joaquín, de Bello, Francesco, Diniz-Filho, José Alexandre F., Lewinsohn, Thomas M., Lobo, Jorge M., Ladle, Richard J.·2015·Annual Review of Ecology, Evolution, and Systematics

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 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.

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Metadata

Authors
Hortal, J., de Bello, F., Diniz-Filho, J. A. F., Lewinsohn, T. M., Lobo, J. M., & Ladle, R. J.
Affiliations
  • Consejo Superior de Investigaciones Científicas (ES)
  • Czech Academy of Sciences (CZ)
  • Department of Ecology, Instituto de Ciências Biologicas, Universidade Federal de Goiás, 74001-970 Goiânia, Brazil;
  • Universidade Estadual de Campinas (UNICAMP) (BR)
  • University of Oxford (GB)
Corresponding author
Ladle, Richard J.
Venue
Annual Review of Ecology, Evolution, and Systematics
Published
2015-12-04
Volume
46
Issue
1
Pages
523-549
ISSN
  • 1543-592X (ISSN-L)
  • 1545-2069
OpenAlex
W2147343628
Cited by
1,743
References
10
Citations by year
2026: 258 · 2025: 270 · 2024: 274 · 2023: 257 · 2022: 159 · 2021: 176 · 2020: 128 · 2019: 88 · 2018: 65 · 2017: 35 · 2016: 29 · 2015: 1
FWCI
3.27
Type
journal article
Language
en
Open access
closed
Locations
  • Annual Review of Ecology Evolution and Systematics (publishedVersion)
  • ASEP (submittedVersion, public-domain)
  • DIGITAL.CSIC (Spanish National Research Council (CSIC)) (submittedVersion)
Topics
  • Physical Sciences › Environmental Science › Nature and Landscape Conservation › Ecology and Vegetation Dynamics Studies
  • Physical Sciences › Environmental Science › Ecological Modeling › Species Distribution and Climate Change
  • Physical Sciences › Computer Science › Information Systems › Research Data Management Practices
Keywords
biodiversity data, big data, species taxonomy, species distribution, species abundance, evolutionary patterns, abiotic stress tolerance, species traits, species interactions, uncertainty, Linnean shortfall, Wallacean shortfall, data gaps

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