can you explain this figures with detail please
The RTO 1.0 1.0 Uw Firm ATIOS CHENI RT RTS *B RTI RTIS ETUS - RTI -- TIS RTUS *ATS KT95 ZONE RTS RT) RT35 CCA Axis 2 CCA Axis 2 dre CCA Axis 2 NSCIA ally Sokio NISIA Ger KTO . ORTIT RT25 RTIS 300 TH alarmat) RTS ORT RTS RT RT SSC RTS SCOI -1.0 -1.0 1.0 1.0 -1.0 -1.0 -1.0 1.0 CCA Axis 1 CCA Axis 1 CCA Axis 1 Rio Tinto column water Stations O Rio Tinto sediments Stations Nuestra Seora del Carmen Stations Environmental variables A Species Environmental variables O Rio Tinto column water Stations Rio Tinto sediments Stations Nuestra Seora del Carmen Stations Species Int Microbio Fig. 4. Canonical correspondence analysis based on variance of species (OTUS) with respect to environmental data. Results were graphed in three biplots. The eigenvalues for each axis generated by CCA indicate how much of the variation seen in species data can be explained by that canonical axis. A 51% of the correlation between OTUs, sample sites and environmental data was explained by two axes. The presence or absence of data was used for bacterial and archacal OTUs. Different OTUs are represented by genera names and triangles. Environmental variables used in the analysis are shown by arrows. Sampling sites are indicated by dots and the station name (NSCOI, NSCIS, RTIw, RTIs, RT2w, RT2, RT3w, RT34, RT5w, RTS, RT6w, RT6s, RT8w, RT8, RT9w, RT9s, RT10w, RTIO, RTliw and RTILS). Samples from the river were from sediments (S) or water column (W). Pit lake samples analyzed were from the surface (NSCOI) and from 15-m depth (NSCIS). Units of the elements were mg/l. Units of sulfate was g1. Units of environmental data were mV for redox potential (ORP), mlem for electric conductivity (EC) and mg/l for dissolved oxygen (DO). potential ons for the Rio Tinto basin. Samples are plotted in different pling stations RTI, RT3, and RTS appear at the centre of the areas of the diagram depending on their environmental cha- graphs. They are very similar, so they can be considered the racteristics. The CCA generates an ordinate diagram in which axes are created by a combination of environmental variables tal and microbiological point of view (Fig. 4). These samples most representative samples of the river from an environmen- [7] The eigenvalues for each axis generated by CCA indicate show the highest concentrations on sulfate, Ni and Co. These how much of the variation seen in the species data can be ex stations are the closest to the deep layer of the NSC pit lake. plained by that canonical axis. In this case, 51% of the corre The dissolved oxygen concentration is the only difference. lation between OTUs sampling sites and environmental data From this analysis, it is clear that the NSC acidic pit lake could be explained by two axes (p-value
