Document of bibliographic reference 363267

BibliographicReference record

Type
Bibliographic resource
Type of document
Journal article
BibLvlCode
AS
Title
Bi- and three-dimensional fractal analysis of the brown seaweed Gongolaria montagnei and their relationship with gastropod molluscs assemblage
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.
WebOfScience code
https://www.webofscience.com/wos/woscc/full-record/WOS:000912044600001
Bibliographic citation
Mancuso, F.P.; Milazzo, M.; SarĂ , 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
Topic
Marine
Is peer reviewed
true

Authors

author
author
author
author

Links

referenced creativework
type
DOI
accessURL
https://dx.doi.org/10.1016/j.marpolbul.2022.114396

taxonomic terms

taxonomic terms associated with this publication
Cystoseira
Gongolaria
Mollusca [Molluscs]

Document metadata

date created
2023-04-05
date modified
2023-05-23