Evidence map›Paper›PMID 39103753›Full record

ArticleBMC ecology and evolution2024

Combining distribution modelling and phylogeography to understand present, past and future of an endangered spider.

Filippo Milano, Gabriele Casazza, Andrea Galimberti, Davide Maggioni, Marco Isaia

Abstract read
In one paragraph

Article in BMC ecology and evolution, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Phylogeography ofBiology · 2025
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Filippo MilanoDepartment of Life Sciences and Systems Biology, University of Turin, Turin, 10123, Italy.
Gabriele CasazzaDepartment of Earth, Environmental and Life Sciences, University of Genoa, Genoa, 16132, Italy.
Andrea GalimbertiDepartment of Biotechnology and Biosciences, University of Milano-Bicocca, Milan, 20126, Italy.
Davide MaggioniDepartment of Biotechnology and Biosciences, University of Milano-Bicocca, Milan, 20126, Italy.
Marco IsaiaDepartment of Life Sciences and Systems Biology, University of Turin, Turin, 10123, Italy. marco.isaia@unito.it.

Funding

European Union - NextGenerationEU CN_00000033
6 · The paper itself

Abstract

backgroundUnderstanding how endangered species respond to climatic changes is fundamental for their conservation. Due to its restricted geographic range, its sensitivity to the ongoing global warming and its continuing decline, the Southwestern-Alpine endemic wolf spider Vesubia jugorum is currently classified as Endangered in the IUCN Red List. Here, we combined species distribution modelling (SDM) and phylogeographic inference to describe the present, the past and the future of this species in light of the mtDNA genetic structure of extant populations.

resultsPhylogenetic and network analyses show a high level of genetic differentiation and a strong genetic structure of the populations, likely explicable by a long history of isolation and survival in separate refugia. The SDM projection into past climatic conditions supports these results by showing a smaller distribution range compared to present, mostly restricted to the Maritime and Ligurian Alps, which possibly served as main refugium. Future forecast shows a significant shift in the bioclimatic range towards higher altitudes and latitudes, with a drastic decrease of habitat suitability in the central and south-eastern parts of the range, with consequent general loss of haplotype diversity.

conclusionSDM and phylogeographic inference support the hypothesis that the current distribution and the genetic structure of the extant populations mirror the survival in situ of Vesubia jugorum across repeated glacial and interglacial phases, in line with the 'long-term stability hypothesis'. Future predictions show a significant shift in the bioclimatic range that V. jugorum will be likely unable to track, with profound impact on its long-term survival and its genetic diversity. Our considerations have implication for conservation genetics, highlighting the pivotal role of the transboundary protected areas of the SW-Alps in promoting conservation efforts for this species.

Indexed as

Endangered SpeciesPhylogeographySpidersAnimal DistributionAnimalsDNA, MitochondrialGenetic VariationHaplotypesPhylogenyDNA, MitochondrialAlpine spidersClimate changeGenetic diversityIUCNLong-term stability hypothesismtDNAPleistocene glaciationsSpecies distribution modelVesubia jugorumWolf spiders

Identifiers

PMID39103753
PMCPMC11299272

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.