Open AccessSIMULATION OF BIOMASS DYNAMICS IN PLANKTON OF A HIGH-ALTITUDE ANDEAN TROPICAL RESERVOIR IN COLOMBIA.
Author(s) -
Edison Andrés Parra García,
Nicole Rivera Parra,
Boris A. Rodríguez,
Isabel Hoyos
Publication year - 2021
Publication title -
acta biológica colombiana/acta biológica colombiana
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.184
H-Index - 13
eISSN - 1900-1649
pISSN - 0120-548X
DOI - 10.15446/abc.v26n3.83182
Subject(s) - trophic level , plankton , environmental science , biomass (ecology) , ecology , zooplankton , detritus , predation , food web , food chain , energy flow , atmospheric sciences , biology , physics , mathematics , statistics , energy (signal processing)
The understanding of the relationships between the planktonic communities in a reservoir allows us to infer possible changes in the redistribution of matter and energy flows in these systems. This work proposes a dynamic model for the trophic network of the Riogrande II tropical reservoir, which integrates the planktonic trophic chains of detritus and grazing, limiting the prey-predator interactions by introducing the prey meeting factor (pmf). We built a dynamic model of mass balance supported by an extensive bibliographic search. The limitations of consumers and resources were represented simultaneously by means of the pmf. The data used to validate the model were compiled from previous investigations carried out in this reservoir from 2010 to 2013. The values of pmf that we found in each simulation suggest that the top predator can access its main prey in certain concentrations of total phosphorus, with a probability of encounter ranging from 9.3 % to 17.7 %. Our simulations indicate that most of the primary production is poorly used by the primary consumers in the photic zone, however, it enters in the flows of the detrital chain and supports the production of zooplankton almost entirely. According to this finding, the biomass densities obtained in the previous studies can be better explained by the causal relationships assumed in this model.