DOI: 10.5061/dryad.27q46m2
title: Data from: Genetic diversity in a long-lived mammal is explained by the past’s demographic shadow and current connectivity

description: Within-species genetic diversity is crucial for the persistence and
 integrity of populations and ecosystems. Conservation actions require an
 understanding of factors influencing genetic diversity, especially in the
 context of global change. Both population size and connectivity are
 factors greatly influencing genetic diversity; the relative importance of
 these factors can however change through time. Hence, quantifying the
 degree to which population size or genetic connectivity are shaping
 genetic diversity, and at which ecological time scale (past or present),
 is challenging, yet essential for the development of efficient
 conservation strategies. In this study, we estimated the genetic diversity
 of 42 colonies of Rhinolophus hipposideros, a long-lived mammal vulnerable
 to global change, sampling locations spanning its continental northern
 range. We present an integrative approach that disentangles and quantifies
 the contribution of different connectivity measures in addition to
 contemporary colony size and historic bottlenecks in shaping genetic
 diversity. In our study, the best model explained 64% of the variation in
 genetic diversity. It included historic bottlenecks, contemporary colony
 sizes, connectivity and a negative interaction between the latter two.
 Contemporary connectivity explained most genetic diversity when
 considering a 65 km radius around the focal colonies, emphasizing the
 large geographic scale at which the positive impact of connectivity on
 genetic diversity is most profound and hence the minimum scale at which
 conservation should be planned. Our results highlight that the relative
 importance of the two main factors shaping genetic diversity varies
 through time, emphasizing the relevance of disentangling them to ensure
 appropriate conservation strategies.
description: Microsatellite
 genotypes Csv file containing
 distinct (consensus) genotypes used in the analysis. ID: Population names
 as in Table 1 and Fig. S7. Columns two to nine: names of microsatellite
 loci. Each allele is coded by three digits, resulting in a six digit code
 per locus per sample. Genotypes.csv
   <strong>Genetic diversity
 and associated explanatory variables</strong> The file
 "Data_Table_Genetic_diversity_in_a_long-lived_mammal.csv" is a
 data table with headers that contains genetic and connectivity data on
 <em>R. hipposideros</em> maternity colonies. Each record
 (=line) corresponds to a different <em>R. hipposideros
 </em>maternity colony. The variables on each line include the
 following:<br> ------------------------------
 Variable                              Column(s)         
 Type ------------------------------
 PopID                                         1               
 Character
 Hs                                               2               
 Numeric AllelicRichness                           3  
             Numeric<br> BayesFactorMSVAR                  4  
              Numeric BottleneckStatus                 
        5                Logical
 NearestNeighbour                       6               
 Numeric NbIndXXXXkm2                       7-68       
    Integer<br> NbColXXXXkm2                       69-130     
 Integer WeightedNumberofIndividual     131          
 Numeric ForestAreaXXXXkm2                 132-193   
 Numeric ForestPerimeterXXXXkm2         194-255    
 Numeric<br> ------------------------------ Each
 XXXX in the variable name corresponds to an integer between 100 and 6000
 (see below). These variables have the following definitions:
 PopID                           is the bat colony identification
 code Hs                                            is
 the expected heterozygosity of the bat colony<br>
 AllelicRichness                       is the allelic richness of the
 colony corrected for sample size<br> BayesFactorMSVAR              
 is the Bayes Factor obtained through MSVAR computation<br>
 BottleneckStatus                      is the result of MSVAR computation
 as a logical (TRUE : Bottlenecked population, FALSE :
 Non-bottlenecked)<br> NearestNeighbour                    is the
 distance to the nearest bat colony, in meters.<br>
 NbIndXXXXkm2                    is the number of R. hipposideros from
 other maternity colonies contained in a buffer centered on the colony
 within an area of XXXX km2.<br> NbColXXXXkm2                    is
 the number of others R. hipposideros maternity colonies contained in a
 buffer centered on the colony within an area of XXXX km2.
 WeightedNumberofIndividual  is the number of R. hipposideros from
 other maternity colonies weighted by the negative exponential dispersal
 kernel<br> ForestAreaXXXXkm2              is the area (m²) of mixed
 and deciduous forest contained in a buffer centered on the colony within
 an area of XXXX km2.<br> ForestPerimeterXXXXkm2      is the
 perimeter (m) of mixed and deciduous forest patches contained in a buffer
 centered on the colony within an area of XXXX km2.
 <br> Further details and explanations about the origin and
 computation of these variables are provided in the Materials &
 Methods section of the paper "Genetic diversity in a long-lived
 mammal is explained by the past’s demographic shadow and current
 connectivity" by L. Lehnen, P.-L. Jan, A.-L. Besnard, D. Fourcy, G.
 Kerth, M. Biedermann, P. Nyssen, W. Schorcht, E. J. Petit, S.J.
 Puechmaille. For additional information, please send an
 e-mail to pierreloup.jan@gmail.com