Ansie Dippenaar-Schoeman1 , Robin Lyle1 , Domitilla C Raimondo2 , Theresa Sethusa2 , Stefan Foord3 , Charles Haddad4 , Leon Lotz5 , Shae-Lynn E. Hendricks2 , Dewidine van Der Colff2

1. Agricultural Reseach Council

2. South African National Biodiversity Institute

3. University of Venda

4. University of the Free State

5. National Museum Bloemfontein

Published

November 11, 2025


Pycnacantha tribulus (Fabricius, 1781), the hedgehog spider, was the first spider species described from South Africa, 244 years ago. © Peter Webb
78
of 2214 species assessed are
Threatened
60
of 2214 species assessed are
Rare or Critically Rare
1303
species of spiders (58%) are
Endemic

Key findings

  • South Africa has a rich diversity of spider species, with 2265 described species1, representing 4% of the world’s spiders.

  • A comprehensive assessment of 2214 spider species was conducted for the first time between 2016 and 2019 using the IUCN Red List Categories and Criteria to classify their risk of extinction and represents a global first and a pioneering effort in applying IUCN Red List criteria to a mega-diverse invertebrate group.

  • The spider assessment was made possible through the 22-year South African National Survey of Arachnida (SANSA) initiative, which resulted in significant improvements to the knowledge base: a 33% increase in described species, and during this project, there was a 350% rise in specimen accessions in the national collection.

  • Of the assessed species, only 78 of the species (4%) were assessed as threatened.

  • Most species (1419 spp., 64%) are widely distributed with no known threats and are of Least Concern.

  • However, almost a third of the species (707 spp., 32%) are Data Deficient.

  • Endemism is high, and 1303 species (58%) are only found in South Africa, representing ~2% of the world’s spiders.

  • When conducting the IUCN Red List Index (RLI) assessment, spiders have the highest RLI score compared to other taxonomic groups in South Africa, resulting in it being the least threatened taxonomic group.

  • The major threats to spiders are habitat loss due to fire, overgrazing, invasive plants, mining, agricultural practices, and urban development.

Figure 1. Density of threatened spider species (10 x 10 km grid) based on all threatened species distributional data. Highest concentrations occur in the Cape Floristic Region — a global biodiversity hotspot with exceptional richness and high levels of threat and the economic hub of South Africa, Gauteng. These patterns might be influenced by sampling bias in urban areas.

Knowledge gaps

A significant portion of the South African spider fauna remains undescribed. In the Cape Floristic Region, 24% of species are classified as Data Deficient, and two families (Synotaxidae and Theridiosomatidae) are only known from undescribed species. Studies on mygalomorph trapdoor spiders (e.g., Stasimopus, Ancylotrypa, Galeosoma) show taxonomic resolution as low as 15–29%, indicating high uncertainty in species delimitation.

Sampling bias and geographic gaps are a concern. Spider records are heavily concentrated in the eastern and coastal regions of South Africa, with North West, Northern Cape and Mpumalanga province remaining undersampled2 114. These sampling biases impede conservation assessments and ecological modelling.Making use of citizen science to contribute to observation both helps fill sampling gaps and also raises awareness (Box 3).

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Spiders of South Africa iNaturalist


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Morphological variation is poorly understood due to limited sampling, making it difficult to confidently define species boundaries. Despite SANSA’s efforts, many natural history collections lack comprehensive coverage or standardised metadata, limiting their utility for taxonomic synthesis, as large numbers of specimens in collections remain unidentified due to a lack of spider taxonomists. For example, a recent meta-analysis of South African spider data from seven collections found that only slightly more than half of the ~121 000 records had been identified to species level, indicating a major taxonomic gap in the available data14. Presently, there is only one spider taxonomist employed at a natural history collection. The shortage of taxonomic expertise will have direct consequences for resolving Data Deficient taxa and developing taxonomic products related to species descriptions, revisions, and the integration of molecular tools.

Addressing the taxonomic impediment for spiders in South Africa requires a multi-pronged strategy that blends capacity building, infrastructure development, and policy integration. Here is a breakdown of effective solutions:

  • Expansion of taxonomic capacity, by creating employment for specialist taxonomists and providing the required skills transfer opportunities (Box 4).

  • Accelerate species descriptions through building capacity and collaborative research, particularly with international partners.

  • Integrate molecular tools and promote DNA barcoding and phylogenetics to resolve species boundaries, especially in morphologically conservative groups.

  • Develop a national spider barcode reference library, linked to voucher specimens and ecological metadata. Currently, sequence data on South African spiders (~10 600 specimens processed, mainly COI-5P) is scattered among several projects with very contrasting levels of taxonomic resolution.

  • Digitize and standardise collections: with high-resolution imaging, georeferencing, and standardized metadata.

  • Ensure the SANSA database evolves to be more accessible by creating a centralized database accessible to researchers, conservationists, and policymakers.

  • Encourage citizen science platforms like iNaturalist to crowdsource observations and expand distribution data (Box 3).

  • Relax permit conditions so that members of the public can sample specimens without fear of prosecution, particularly those linked to photographic observations, to enable species-level identifications.

  • Link taxonomic work to spatial tools for species conservation, e.g. Key Biodiversity Areas (KBAs) and the DFFE Screening tool for Environmental Impact Assessments (EIAs) to justify funding and urgency. This can be further linked to understanding biodiversity data and the role it could play in South Africa’s biosecurity with regards to emerging pests and diseases.

  • Foster international collaboration, partner with global arachnological networks for training, data sharing, and joint revisions.

  • Invite and fund visiting taxonomists to work on South African material and co-author species descriptions.

  • Facilitate the training of taxonomists from other African countries to expand the skills base on the continent.

Although South Africa has the richest described spiders on the continent that has been researched the most thoroughly in the past, many families have never been subjected to revision and continue to present a considerable identification challenge to taxonomists and ecologists alike. Surveys and research have shown that in several families, a large proportion of species remain undescribed. For example, the National Collection of Arachnida has around 45% of specimens that are still unidentified.

Preliminary research on the following families reveals that many species remain unidentified. All images are credited to © Peter Webb, if not, it is indicated.

Araneus coccinella Araneidae (estimated to be 29 spp.)

Clubiona durbana Clubionidae (estimated to be 150 spp.)

Copuetta lacustris Corinnidae (estimated to be 14 spp.)

Dictyna sp. Dictynidae (estimated to be 6 spp.)

Afrofilistata fradei Filistatidae (estimated to be 6 spp.) © G. Wilson

Aphantaulax sp. Gnaphosidae (estimated to be 10 spp.)

Macrobunidae sp. Macrobunidae (estimated to be 13 spp.)

Mimetidae sp. Mimetidae (estimated to be 8 spp.)

Orsolobidae sp. Orsolobidae (estimated to be 3 spp.)

Peucetia striata Oxyopidae (estimated to be 15 spp.)

Philodromidae sp. Philodromidae (estimated to be 6 spp.)

Sctodidae sp. Scytodidae (estimated to be 80 spp.)

Selenopidae sp. Selenopidae (estimated to be 23 spp.)

Latrodectus cinctus Theridiidae (estimated to be 28 spp.)

Afroceto martini Trachelidae (estimated to be 35 spp.)

Zodarridae sp. Zodariidae (stimated to be 8 spp.)

Acknowledgements

The first IUCN Red List assessment of South African spiders was conducted between 2016 and 2019, as a collaborative project between the South African National Biodiversity Institute (SANBI), the Agricultural Research Council, the University of the Free State and the University of Venda (formerly University of Limpopo).All the field workers, museum staff and other members contributing to completion of the assessment (Table 1)

Table 2. List of contributors to mobilising IUCN Red List assessments ad support with field work during SANSA.
Contributor Affiliation
Eugene Modiseng Agricultural Research Council
Mohale Mokoena South African National Biodiversity Institute
Esethu Nkibi South African National Biodiversity Institute
Keenan Meissenheimer South African National Biodiversity Institute
Sma Chiloane Agricultural Research Council
Reginald Christiaan South African National Biodiversity Institute

Approach

The first IUCN Red List assessment of South African spiders was conducted between 2016 and 2019, as a collaborative project between the South African National Biodiversity Institute (SANBI), the Agricultural Research Council, the University of the Free State and the University of Venda (formerly University of Limpopo). This assessment represents a pioneering effort in applying IUCN Red List criteria to a mega-diverse invertebrate group and was made possible through the 22-year South African National Survey of Arachnida (SANSA) initiative, which resulted in significant improvements to the knowledge base: a 33% increase in described species and a 350% rise in specimen accessions in the ARC’s National Collection of Arachnida (NCA).

Data Sources and Methods

The assessment utilized data from the First Atlas of South African Spiders4, which compiled information from two primary sources: the National Collection of Arachnida (NCA) at the Agricultural Research Council – Plant Health and Protection (ARC-PHP) in Roodeplaat, Pretoria (with over 60,000 records) and published taxonomic literature from 17 museum collections.

The distribution of occurrence records across South Africa, Lesotho and Swaziland was visualized using quarter-degree, degree-square and density kernel plots for all 76,069 records. However, records in the NCA that were not identified to species level were excluded from the Red List assessments, reducing the analytical dataset to 23,827 species-level records covering 2,253 known South African spider species.

Calculation of parameters

The calculation of Red List parameters was performed using the R package red (v1.6.3)15. Spatial analyses on observed occurrences used functions for calculating Extent of Occurrence (EOO), Area of Occupancy (AOO), and elevational range. EOO was calculated as the minimum convex polygon around all occurrences, while AOO was determined by the number of 2 km² cells occupied. When EOOs were smaller than the AOO, they were made equal. Assessments were drafted as per the IUCN documentation standards and reviewed by relevant experts.

Assessment Criteria and Limitations

Notably, all Red List assessments relied exclusively on IUCN criteria B (geographic range) or D (population size), as these could be evaluated from available distribution data and inferred threats. The other IUCN criteria (A, C, and E) require empirical evidence of population dynamics and trends—a critical data gap known as the Prestonian shortfall—which remains unavailable for most spider species. This methodological constraint highlights the need for long-term monitoring programs to provide insights into population dynamics.

References

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