Table 1.
Location of sampling sites in the Calima reservoir.
Fig 1.
General view of the Calima reservoir and location of the six sampling points under study and the four tributaries.
The base map was created by the author using Landsat 8/9 satellite imagery (Collection 2, Level-2) accessed through the USGS Earth Resources Observation and Science (EROS) Center (https://eros.usgs.gov/). These USGS products are in the public domain and are therefore fully compatible with the CC BY 4.0 license.
Table 2.
Methods used to determine physicochemical and microbiological parameters in reservoir waters.
Fig 2.
Density of potentially toxic cyanobacteria broken down by sampling season and campaign.
E1: Tail, E2: PTAR exit, E3: Entrance 4-5, E4: Perto Buga, E5: Center, E6: Dam. Feb: Campaign 1, April: Campaign 2, July: Campaign 3 and Sep: Campaign 4.
Fig 3.
Number of cyanobacteria colonies present in samples by season and time point.
E1: Tail, E2: PTAR exit, E3: Entrance 4-5, E4: Perto Buga, E5: Center, E6: Dam.
Fig 4.
Proportion of potentially toxic cyanobacteria in relation to total photosynthetic organisms in the second campaign.
Three sampled depths (P1 = surface, P2 = mid-depth (50% of the photic zone limit), and P3 = photic zone limit). E1: Tail, E2: PTAR exit, E3: Entrance 4-5, E4: Perto Buga, E5: Center, E6: Dam.
Table 3.
Multiple Linear Regression Coefficients.
Fig 5.
Effect on the growth of M. aeruginosa exposed to 4 tributaries (T1: Petar exit, T2: Majagua, T3: Petar inlet, T4: Comfandi).
Each tributary was evaluated using three concentrations (C1: 25%, C2: 50% and C3: 100% and a control) for 12 days. (T1) the wastewater treatment plant (PTAR) discharge output, (T2) Majagua, (T3) the wastewater inlet to PTAR, and (T4) Comfandi. Different treatments are statistically indicated *** p < 0.001.
Fig 6.
Observations of M. aeruginosa colonies under the optical microscope: (4 X and10X) after 12 days of growing with samples from Tributaries 1 (Petar exit) and 2 (Center Majagua), using Concentration 3, which corresponded to 100% of the discharge sample.
Fig 7.
PLSR (Partial Least Squares Regression) of environmental and physicochemical variables of interest in the samples from the four tributaries.
Variables represented with a blue bar are those that, according to the model, favor cyanobacterial growth.
Fig 8.
Presence of MC‑LR at six sampling stations located in the Calima Reservoir.
E1: Tail, E2: PTAR exit, E3: Entrance 4−5, E4: Puerto Buga, E5: Center, E6: Dam. The base map was created by the author using Landsat 8/9 satellite imagery (Collection 2, Level-2) accessed through the USGS Earth Resources Observation and Science (EROS) Center (https://eros.usgs.gov/). These USGS products are in the public domain and are therefore fully compatible with the CC BY 4.0 license.