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Data and code from: Moving towards better risk assessment for invertebrate conservation

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DataONE2025-06-06 更新2025-06-14 收录
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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 the 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 estimat..., , , # Data and code from: Moving towards better risk assessment for invertebrate conservation [https://doi.org/10.5061/dryad.69p8cz987](https://doi.org/10.5061/dryad.69p8cz987) The repository contains data and code needed to replicate figures and analysis for the article, DOI: [https://doi.org/10.1002/ecog.07819](https://doi.org/10.1002/ecog.07819). Note that the full invertebrate data can be downloaded from the IBA figshare:  [https://figshare.scilifelab.se/articles/dataset/Amplicon_sequence_variants_from_the_Insect_Biome_Atlas_project/25480681/5](https://figshare.scilifelab.se/articles/dataset/Amplicon_sequence_variants_from_the_Insect_Biome_Atlas_project/25480681/5) **Data:** Contains data required to run analyses. **malaise_samples_metadata_SE_2019.tsv** - Contains malaise trap metadata. * sampleID_FIELD/LAB: the field/lab-specific ID number for a sample.  * trapID: ID of the trap a sample was collected from.  * lab_sample_type: the type of sample (e.g., field sample or extraction...,
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2025-06-07
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