IMIS

Publications | Institutes | Persons | Datasets | Projects | Maps | Infrastructure
[ report an error in this record ]basket (0): add | show Print this page

Bi- and three-dimensional fractal analysis of the brown seaweed Gongolaria montagnei and their relationship with gastropod molluscs assemblage
Mancuso, F.P.; Milazzo, M.; Sarà, G.; Chemello, R. (2023). Bi- and three-dimensional fractal analysis of the brown seaweed Gongolaria montagnei and their relationship with gastropod molluscs assemblage. Mar. Pollut. Bull. 186: 114396. https://dx.doi.org/10.1016/j.marpolbul.2022.114396
In: Marine Pollution Bulletin. Macmillan: London. ISSN 0025-326X; e-ISSN 1879-3363, more
Peer reviewed article  

Available in  Authors 

Keywords
    Cystoseira C.Agardh, 1820 [WoRMS]; Gongolaria Boehmer, 1760 [WoRMS]; Mollusca [WoRMS]
    Marine/Coastal
Author keywords
    habitat complexity; foundation species; Cystoseira sensu lato; fractal dimension; molluscs; Mediterranean Sea

Authors  Top 
  • Mancuso, F.P.
  • Milazzo, M.
  • Sarà, G.
  • Chemello, R.

Abstract
    Habitat complexity is one of the main influences on biodiversity in marine environments, particularly in coastal areas where foundation seaweeds provide substrate for highly diverse communities. We studied the 2D and 3D fractal dimensions of Gongolaria montagnei (Fucales) over the vegetative season and examine their relationship with the abundance, species richness and morpho-functional groups of the gastropod associated. Overall, the 3D fractal analysis method used here better describes seaweeds structural complexity compared to the traditional 2D fractal analysis, as highlighted by the higher relationship with gastropod assemblage associated to the alga in terms of abundance, number of species and morpho-functional groups. We propose this new method as a valuable tool for understanding the relationship between seaweeds and associated fauna, which is critical for gaining a better understanding of the role that algal species play in a specific habitat and the consequences of their loss.

All data in the Integrated Marine Information System (IMIS) is subject to the VLIZ privacy policy Top | Authors