TY - JOUR
T1 - Multi-site interaction turnover in flea–mammal networks from four continents
T2 - Application of zeta diversity concept and multi-site generalised dissimilarity modelling
AU - Krasnov, Boris R.
AU - Khokhlova, Irina S.
AU - Kiefer, Mathias S.
AU - Kiefer, Daniel
AU - Lareschi, Marcela
AU - Matthee, Sonja
AU - Sanchez, Juliana P.
AU - Shenbrot, Georgy I.
AU - Stanko, Michal
AU - van der Mescht, Luther
N1 - Funding Information: The authors dedicate this study to late Dr. Matthias Kiefer (in memoriam). We thank Guillaume Latombe for help with the R functions and Golan Bel for help with extracting data from CHELSA. Sampling in Slovakia was supported by the Ministry of Education of the Slovak Republic and the Slovak Academy of Sciences (grant VEGA 2/0014/21 to MS); sampling in Mongolia was supported by the Academy of Sciences of the USSR and the Academy of Sciences of the Mongolian People's Republic (to MSK; grant numbers are not available); sampling in South Africa was supported by the National Research Foundation (NRF) of South Africa (grants GUN 80764 and 85718 to SM); sampling in Argentina was supported by the Agencia Nacional de Promoción de la Investigación, el Desarrollo Tecnológico y la Innovación (grant PICT2010-338 to ML), Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET) (grant PIP 0146 to ML) and Universidad Nacional de La Plata (grant UNLP N752 to ML). The present study was partly supported by the Israel Science Foundation (grant number 149/17 to BRK and ISK). Funding Information: The authors dedicate this study to late Dr. Matthias Kiefer (in memoriam). We thank Guillaume Latombe for help with the R functions and Golan Bel for help with extracting data from CHELSA. Sampling in Slovakia was supported by the Ministry of Education of the Slovak Republic and the Slovak Academy of Sciences (grant VEGA 2/0014/21 to MS); sampling in Mongolia was supported by the Academy of Sciences of the USSR and the Academy of Sciences of the Mongolian People's Republic (to MSK; grant numbers are not available); sampling in South Africa was supported by the National Research Foundation (NRF) of South Africa (grants GUN 80764 and 85718 to SM); sampling in Argentina was supported by the Agencia Nacional de Promoción de la Investigación, el Desarrollo Tecnológico y la Innovación (grant PICT2010‐338 to ML), Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET) (grant PIP 0146 to ML) and Universidad Nacional de La Plata (grant UNLP N752 to ML). The present study was partly supported by the Israel Science Foundation (grant number 149/17 to BRK and ISK). Publisher Copyright: © 2023 The Authors. Ecological Entomology published by John Wiley & Sons Ltd on behalf of Royal Entomological Society.
PY - 2023/8/1
Y1 - 2023/8/1
N2 - We studied patterns of changes in host–flea interactions measured as total turnover (TT) which can be partitioned into components, namely species turnover (ST), interaction rewiring (RW), and mixed turnover (MX) in networks from Europe, Asia, Africa, and South America, applying a multi-site interaction turnover metric. We also searched for environmental drivers of TT and its components. We asked whether (a) different components contribute differently to TT in rare versus common interactions (in terms of frequency of interaction occurrence); (b) relative roles of turnover components for rare and common interactions differ between continents; and (c) the environmental drivers of interaction turnover differ between turnover components, rare and common interactions, and/or continental networks. Between-network dissimilarity of interactions increased with an increase in the number of compared networks. Pure ST contributed the most to the turnover of rare interactions, whereas the turnover of common interactions was predominated by MX. The effects of environmental factors, interaction richness, and spatial distance on TT and its components differed between continental networks, turnover components, and rare versus common interactions. Climate and vegetation exerted the strongest effects on (a) ST for rare (except Asia) and, to a lesser degree, common (South America) interactions, (b) RW for both rare and common interactions in Europe/Asia, and (c) MX for both rare and common interactions (except Africa). Interaction richness and spatial distance mainly influenced ST. We conclude that the patterns of interaction turnover and its components were geographically invariant and did not depend on the identity of the interactors, whereas the drivers of the turnover differed between continental networks because of species-specific responses to the environment.
AB - We studied patterns of changes in host–flea interactions measured as total turnover (TT) which can be partitioned into components, namely species turnover (ST), interaction rewiring (RW), and mixed turnover (MX) in networks from Europe, Asia, Africa, and South America, applying a multi-site interaction turnover metric. We also searched for environmental drivers of TT and its components. We asked whether (a) different components contribute differently to TT in rare versus common interactions (in terms of frequency of interaction occurrence); (b) relative roles of turnover components for rare and common interactions differ between continents; and (c) the environmental drivers of interaction turnover differ between turnover components, rare and common interactions, and/or continental networks. Between-network dissimilarity of interactions increased with an increase in the number of compared networks. Pure ST contributed the most to the turnover of rare interactions, whereas the turnover of common interactions was predominated by MX. The effects of environmental factors, interaction richness, and spatial distance on TT and its components differed between continental networks, turnover components, and rare versus common interactions. Climate and vegetation exerted the strongest effects on (a) ST for rare (except Asia) and, to a lesser degree, common (South America) interactions, (b) RW for both rare and common interactions in Europe/Asia, and (c) MX for both rare and common interactions (except Africa). Interaction richness and spatial distance mainly influenced ST. We conclude that the patterns of interaction turnover and its components were geographically invariant and did not depend on the identity of the interactors, whereas the drivers of the turnover differed between continental networks because of species-specific responses to the environment.
KW - dissimilarity
KW - environment
KW - fleas
KW - mammals
KW - multi-site dissimilarity modelling
KW - zeta diversity
UR - http://www.scopus.com/inward/record.url?scp=85150942298&partnerID=8YFLogxK
U2 - https://doi.org/10.1111/een.13236
DO - https://doi.org/10.1111/een.13236
M3 - Article
SN - 0307-6946
VL - 48
SP - 466
EP - 484
JO - Ecological Entomology
JF - Ecological Entomology
IS - 4
ER -