4.6 Article

A Novel Method for Non-invasive Estimation of Primary Productivity in Aquatic Ecosystems Using a Chlorophyll Fluorescence-Induced Dynamic Curve

Journal

FRONTIERS IN MICROBIOLOGY
Volume 12, Issue -, Pages -

Publisher

FRONTIERS MEDIA SA
DOI: 10.3389/fmicb.2021.682250

Keywords

algal blooms; aquatic ecosystems; cell density; chlorophyll a content; chlorophyll fluorescence induced dynamic curve; photosynthetic microalgae; water primary productivity

Categories

Funding

  1. National Natural Science Foundation of China [91851103, 31870041, 31770128]
  2. Natural Science Foundation of Henan [212300410024]

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Researchers have developed a novel method using chlorophyll fluorescence induced dynamic (OJIP) curve to estimate Chl a content and photosynthetic microalgal cell density in water samples. Experimental results show strong linear relationships between OJIP curve integrals and Chl a contents and cell densities for various microalgal cultures and natural communities.
Photosynthetic microalgae are a major contributor to primary productivity in aquatic ecosystems, but typical measurements of their biomass and productivity are costly and relatively inefficient. The chlorophyll fluorescence induced dynamic (OJIP) curve can reflect the original photochemical reaction and the changes to the function and structure of photosystems as well as the effects of environmental factors on photosynthetic systems. Here, we present a novel method for estimating the Chl a content and photosynthetic microalgal cell density in water samples using the integral area of the OJIP curve. We identify strong linear relationships between OJIP curve integrals and both Chl a contents and cell densities for a variety of microalgal cultures and natural communities. Based on these findings, we present a non-invasive method to estimate primary productivity in aquatic ecosystems and monitor microalgal populations. We believe that this technique will allow for widespread, rapid, and inexpensive estimating of water primary productivity and monitoring of microalgal populations in natural water. This method is potentially useful in health assessment of natural water and as an early warning indicator for algal blooms.

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