Selected article for: "fragmentation geographical distribution and geographical distribution"
Author: Maganga, Gaël D.; Bourgarel, Mathieu; Vallo, Peter; Dallo, Thierno D.; Ngoagouni, Carine; Drexler, Jan Felix; Drosten, Christian; Nakouné, Emmanuel R.; Leroy, Eric M.; Morand, Serge
Title: Bat Distribution Size or Shape as Determinant of Viral Richness in African Bats
  • Document date: 2014_6_24
    • ID: 1rx7p4rs_17
    Snippet: As in previous studies [12, 13] , we performed standard multiple regressions using independent contrasts, with the intercept forced at zero and viral richness as the dependent variable. Independent variables were geographical range, fragmentation of the distribution, roost type (foliage vs cave), average body weight and migratory behaviour (yes vs no) ( Table 1) . We did not include colony size as variable as information was missing for two speci.....
    Document: As in previous studies [12, 13] , we performed standard multiple regressions using independent contrasts, with the intercept forced at zero and viral richness as the dependent variable. Independent variables were geographical range, fragmentation of the distribution, roost type (foliage vs cave), average body weight and migratory behaviour (yes vs no) ( Table 1) . We did not include colony size as variable as information was missing for two species. Number of sampled hosts or sampling effort (number of samples we tested added to the number of samples reported in published papers) ware also considered as an independent variable. The analysis was conducted on 14 of the 15 captured species for which sample size was considered sufficient (.30). We then selected the best subset selection of variables using AIC criteria.

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