Taxonomic and Morpho-Functional Photosynthetic Patterns of 18 Intertidal Macroalgal Species in the Guangdong-Hong Kong-Macao Greater Bay Area, China
JOURNAL OF MARINE SCIENCE AND ENGINEERING(2023)
Abstract
Macroalgae provide food for microbial, meio- and macro-faunal communities in coastal ecosystems, thus mediating nutrient dynamics and functions in these ecosystems. Because of this vital role, it is important to clarify physiological information about macroalgae as it reflects their growth potential in the field. In this study, we examined the biomass, pigment content, and photosynthetic O-2 evolution rate versus irradiance curves of 18 macroalgal species from the intertidal zone of the Guangdong-Hong Kong-Macao Greater Bay Area, China, and investigated their photosynthetic patterns in relation to phyla characteristics, morphology, and growth locations. The results showed that green algae had the highest maximum photosynthetic O-2 evolution rate (P-max), light utilization efficiency (& alpha;), and dark respiration (R-d) among the three macroalgal phyla; the sheet-like macroalgal species had the highest P-max, & alpha;, and Rd among the four morphological categories. The macroalgal species in the upper intertidal zone showed higher P-max and & alpha; and lower saturation irradiance (E-K) and compensation irradiance (E-C) than those species in the lower intertidal location. The PCA results showed that the biomass of sheet-like macroalgal species was positively correlated with factor PC1 (50.34%), and that of finely branched species was negatively correlated with factor PC2 (25.17%). In addition, our results indicate that the light absorption and utilization capabilities of macroalgae could determine whether they could dominate the intertidal zone and that their photosynthetic characteristics could be used as a potential indicator of their biomass distribution in the Greater Bay Area.
MoreTranslated text
Key words
macroalgae,pigment content,photosynthesis versus irradiance curve,biomass density,Guangdong–Hong Kong–Macao Greater Bay Area
AI Read Science
Must-Reading Tree
Example
![](https://originalfileserver.aminer.cn/sys/aminer/pubs/mrt_preview.jpeg)
Generate MRT to find the research sequence of this paper
Chat Paper
Summary is being generated by the instructions you defined