Moving towards better risk assessment for invertebrate conservation

Global change threatens a vast number of species with severe population declines or even extinction. The threat status of an organism is often designated based on geographic range, population size, or declines in either. However, invertebrates, which comprise the bulk of animal diversity, are conspicuously absent from global frameworks that assess extinction risk. Many invertebrates are hard to study, and it has been questioned whether current risk assessments are appropriate for the majority of these organisms. As the majority of invertebrates are rare, we contend that the lack of data for these organisms makes current criteria hard to apply. Using empirical evidence from one of the largest terrestrial arthropod surveys to date, consisting of over 33 000 species collected from over a million hours of survey effort, we demonstrate that estimates of trends based on low sample sizes are associated with major uncertainty and a risk of misclassification under criteria defined by the IUCN. 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, and there is likely to be substantial uncertainty in assessing risk for the majority of global biodiversity using species‐level trends. In response, we discuss the need to focus on metrics we can currently measure when conducting risk assessments for these organisms. We highlight modern statistical methods that allow quantification of metrics that could incorporate observations of rare invertebrates into global conservation frameworks, and suggest how current criteria might be adapted to meet the needs of the majority of global biodiversity.

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Publication Details

Journal
Ecography
Published
2025-05-05
DOI
https://doi.org/10.1002/ecog.07819
Citations
5
Primary Topic
Species Distribution and Climate Change
Type
article
Field-Weighted Citation Impact
9.19

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article

Moving towards better risk assessment for invertebrate conservation

Ayco J. M. Tack, Tomas V. Roslin, Fredrik Ronquist, Andreia Miraldo et al.
5 citations
Ecography
Species Distribution and Climate Change
9.19
article

Moving towards better risk assessment for invertebrate conservation

Ayco J. M. Tack, Tomas V. Roslin, Fredrik Ronquist, Andreia Miraldo, Jarno P. Vanhatalo, Laura J. A. van Dijk, Robert M. Goodsell
article en
5 citations

Abstract

Global change threatens a vast number of species with severe population declines or even extinction. The threat status of an organism is often designated based on geographic range, population size, or declines in either. However, invertebrates, which comprise the bulk of animal diversity, are conspicuously absent from global frameworks that assess extinction risk. Many invertebrates are hard to study, and it has been questioned whether current risk assessments are appropriate for the majority of these organisms. As the majority of invertebrates are rare, we contend that the lack of data for these organisms makes current criteria hard to apply. Using empirical evidence from one of the largest terrestrial arthropod surveys to date, consisting of over 33 000 species collected from over a million hours of survey effort, we demonstrate that estimates of trends based on low sample sizes are associated with major uncertainty and a risk of misclassification under criteria defined by the IUCN. 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, and there is likely to be substantial uncertainty in assessing risk for the majority of global biodiversity using species‐level trends. In response, we discuss the need to focus on metrics we can currently measure when conducting risk assessments for these organisms. We highlight modern statistical methods that allow quantification of metrics that could incorporate observations of rare invertebrates into global conservation frameworks, and suggest how current criteria might be adapted to meet the needs of the majority of global biodiversity.

EcographyVol. 2025(8)
University of Helsinki (FI), Stockholm University (SE), Swedish Museum of Natural History (SE), Swedish University of Agricultural Sciences (SE)
Knut och Alice Wallenbergs Stiftelse, Vetenskapsrådet, Sveriges Lantbruksuniversitet, Science for Life Laboratory, Uppsala Multidisciplinary Center for Advanced Computational Science
Openalex Percentile: Top 2%
Species Distribution and Climate Change
9.19
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