TY - JOUR

T1 - Parasite traits, host traits, and environment as determinants of dark diversity affinity in flea and gamasid mite assemblages from the Palearctic

AU - Винарский, Максим Викторович

AU - Krasnov, Boris R.

AU - Korallo-Vinarskaya, Natalia P.

AU - Khokhlova, Irina S.

AU - Grabovsky, V.

PY - 2024/11/1

Y1 - 2024/11/1

N2 - A species set in a site comprises species that are present (realized diversity) and species that could inhabit this site but are absent (dark diversity; DD). DD can be both species-driven (a species' traits preclude its presence, independently of site features) and site-driven (site features preclude the species' presence, independently of its traits). DD affinity (DDA) is a measure of species' tendencies to be absent from sites that they could inhabit or of sites' tendencies to lack species that could be present. Decomposition of DDA into DDA for species (dda sp) and for sites (dda site) allows (a) disentangling these two mechanisms and (b) detecting species traits and site features contributing to their DDA. The species-site unified model is a Bayesian statistical model aimed at simultaneously estimating dda sp and dda site. We applied it to flea and mite assemblages (a) within a host species across regions (component metacommunities; CtM; dda site  = dda region) and (b) within a region across host species (compound metacommunities; CdM, dda site  = dda host). In CtMs, dda sp and dda region equally contributed to DD, whereas the relative contributions of dda sp and dda host to DD in CdMs varied from the former being higher than the latter and vice versa. In CtM and CdM, dda sp increased in low-abundance ectoparasites exploiting a restricted number of hosts. In CtMs, dda region was associated with the regional environment, but we failed to find host traits affecting dda host in CdMs. We conclude that ectoparasite species and either regions in CtMs or host species in CdMs independently contribute to DD.

AB - A species set in a site comprises species that are present (realized diversity) and species that could inhabit this site but are absent (dark diversity; DD). DD can be both species-driven (a species' traits preclude its presence, independently of site features) and site-driven (site features preclude the species' presence, independently of its traits). DD affinity (DDA) is a measure of species' tendencies to be absent from sites that they could inhabit or of sites' tendencies to lack species that could be present. Decomposition of DDA into DDA for species (dda sp) and for sites (dda site) allows (a) disentangling these two mechanisms and (b) detecting species traits and site features contributing to their DDA. The species-site unified model is a Bayesian statistical model aimed at simultaneously estimating dda sp and dda site. We applied it to flea and mite assemblages (a) within a host species across regions (component metacommunities; CtM; dda site  = dda region) and (b) within a region across host species (compound metacommunities; CdM, dda site  = dda host). In CtMs, dda sp and dda region equally contributed to DD, whereas the relative contributions of dda sp and dda host to DD in CdMs varied from the former being higher than the latter and vice versa. In CtM and CdM, dda sp increased in low-abundance ectoparasites exploiting a restricted number of hosts. In CtMs, dda region was associated with the regional environment, but we failed to find host traits affecting dda host in CdMs. We conclude that ectoparasite species and either regions in CtMs or host species in CdMs independently contribute to DD.

KW - Animals

KW - Bayes Theorem

KW - Biodiversity

KW - Host-Parasite Interactions

KW - Mites/physiology

KW - Siphonaptera/physiology

KW - Component community

KW - Ectoparasites

KW - Biogeography

KW - Compound community

KW - Metacommunity

KW - Species pool

UR - https://www.mendeley.com/catalogue/a5fd32e7-d8a1-3081-934e-d7891a4695c4/

U2 - 10.1007/s00436-024-08408-6

DO - 10.1007/s00436-024-08408-6

M3 - Article

C2 - 39589555

VL - 123

JO - Parasitology Research

JF - Parasitology Research

SN - 0932-0113

IS - 11

M1 - 396

ER -