A Remarkable Discovery: Exploring a Rare Eresus and Spider Wasp Interaction

  Photo Credit: © Antonino Rametta . All photographs are used with permission. No part of these images may be reproduced, distributed, or used in any form without the prior written permission of the photographer. A Remarkable Discovery: Exploring a Rare Eresus and Spider Wasp Interaction One of the most rewarding aspects of maintaining Arácnido Taxonomy is hearing from naturalists and photographers around the world who take the time to share their discoveries. Every so often, an email arrives that immediately captures your attention. Not because it claims to rewrite what we know about biodiversity, but because it documents something that very few people have the opportunity to witness. Recently, I was contacted by a naturalist in Sicily who shared a series of exceptionally high-quality photographs of a female ladybird spider ( Eresus ) during what appeared to be an interaction with a spider wasp. Along with the images came a simple question: "Could this be scientifically import...

Machine learning approaches to assess microendemicity and conservation risk in cave-dwelling arachnofauna

 


Machine learning approaches to assess microendemicity and conservation risk in cave-dwelling arachnofauna

Abstract

The biota of cave habitats faces heightened conservation risks, due to geographic isolation and high levels of endemism. Molecular datasets, in tandem with ecological surveys, have the potential to precisely delimit the nature of cave endemism and identify conservation priorities for microendemic species. Here, we sequenced ultraconserved elements of Tegenaria within, and at the entrances of, 25 cave sites to test phylogenetic relationships, combined with an unsupervised machine learning approach for detecting species. Our analyses identified clear and well-supported genetic breaks in the dataset that accorded closely with morphologically diagnosable units. Through these analyses, we also detected some previously unidentified, potential cryptic morphospecies. We then performed conservation assessments for seven troglobitic Israeli species of this genus and determined five of these to be critically endangered.

Steiner, H.G., Aharon, S., Ballesteros, J. et al. Machine learning approaches to assess microendemicity and conservation risk in cave-dwelling arachnofauna. Conserv Genet (2024). https://doi.org/10.1007/s10592-024-01627-5