The rarity of Invertebrates prevents reliable application of IUCN Red-List criteria.

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Authors

Robert Goodsell, Ayco Tack, Fredrik Ronquist, Laura van Dijk, Elzbieta Iwaszkiewicz-Eggebrecht, Andreia Miraldo, Tomas Roslin, Jarno Vanhatalo

Abstract

Among the most widely used information underpinning international conservation efforts is the IUCN Red List of endangered species. The Red List designates species extinction risk based on geographic range, population size, or declines in either. However, the Red-List has poor representation of invertebrates which comprise the majority of animal diversity, and it has frequently been questioned whether Red List criteria are appropriate for these organisms. Due to their small size, difficulty in identification, and general rarity, many invertebrates are hard to study, making Red List criteria difficult to apply. Here we discuss these criticisms in the context of empirical evidence from one of the largest terrestrial arthropod surveys to date, documenting the abundance and distribution of over 13,000 species in Sweden. Using simple empirical examples from these data, we argue that even the most ambitious monitoring efforts are unlikely to produce enough observations to reliably estimate population sizes and ranges for more than a fraction of species. Thus, there is likely to be substantial uncertainty in classifying most species according to current criteria. In response, we discuss the introduction of potential new IUCN criteria to more accurately capture the conservation needs of invertebrates, and to increase the representation of invertebrates on the IUCN Red List.

DOI

https://doi.org/10.32942/X23G71

Subjects

Life Sciences

Keywords

invertebrates, insects, monitoring, IUCN, Red-List, conservation

Dates

Published: 2024-01-04 13:26

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License

CC BY Attribution 4.0 International

Additional Metadata

Language:
English

Conflict of interest statement:
The authors declare no conflict of interest

Data and Code Availability Statement:
Data and code are available at the following dryad repository: https://doi.org/10.5061/dryad.69p8cz987