macroloire {ade4} | R Documentation |
A total of 38 sites were surveyed along 800 km of the Loire River yielding 40 species of Trichoptera and Coleoptera sampled from riffle habitats. The river was divided into three regions according to geology: granitic highlands (Region#1), limestone lowlands (Region#2) and granitic lowlands (Region#3). This data set has been collected for analyzing changes in macroinvertebrate assemblages along the course of a large river. Four criterias are given here: variation in 1/ species composition and relative abundance, 2/ taxonomic composition, 3/ Body Sizes, 4/ Feeding habits.
data(macroloire)
macroloire
is a list of 5 components.
Ivol, J.M., Guinand, B., Richoux, P. and Tachet, H. (1997) Longitudinal changes in
Trichoptera and Coleoptera assemblages and environmental conditions in the Loire
River (France). Archiv für Hydrobiologie, 138, 525–557.
Pavoine S. and Dolédec S. (2005) The apportionment of quadratic entropy: a useful alternative for partitioning diversity in ecological data. Environmental and Ecological Statistics, 12, 125–138.
data(macroloire) apqe.Equi <- apqe(macroloire$fau, , macroloire$morphoregions) apqe.Equi #test.Equi <- randtest.apqe(apqe.Equi, method = "aggregated", 99) #plot(test.Equi) ## Not run: m.phy <- taxo2phylog(macroloire$taxo) apqe.Tax <- apqe(macroloire$fau, m.phy$Wdist, macroloire$morphoregions) apqe.Tax #test.Tax <- randtest.apqe(apqe.Tax, method = "aggregated", 99) #plot(test.Tax) dSize <- sqrt(dist.prop(macroloire$traits[ ,1:4], method = 2)) apqe.Size <- apqe(macroloire$fau, dSize, macroloire$morphoregions) apqe.Size #test.Size <- randtest.apqe(apqe.Size, method = "aggregated", 99) #plot(test.Size) dFeed <- sqrt(dist.prop(macroloire$traits[ ,-(1:4)], method = 2)) apqe.Feed <- apqe(macroloire$fau, dFeed, macroloire$morphoregions) apqe.Feed #test.Feed <- randtest.apqe(apqe.Feed, method = "aggregated", 99) #plot(test.Size) ## End(Not run)