A Photographic Method for Estimating Chlorophyll in Periphyton on Artificial Substrata

Abstract

The collection of time-series of periphyton biomass is a difficult task due to the destructive nature of the standard methods. A non-destructive method based on photography and digitalization, for the estimation of Chla of periphyton colonizing artificial substrata is presented. The standard spectrophotometric method was used to obtain a calibration curve. The relative errors of the proposed method were similar to those of other published methods. The photographic method should be used when a large quantity of samples from the same community is needed and a high precision on the individual measurement is not required.

Publication
Aquatic Ecology
Leonardo A. Saravia
Leonardo A. Saravia
Professor/Researcher

Investigador Independiente CADIC - CONICET, Docente/Investigador de la UNTDF, Doctor en Biología de la UBA. Complex systems. Networks. Global Forest Fragmentation. Open science. R, Julia, Netlogo, C++ & Python.