Catching the Drift of Marine Invertebrate Diversity through Digital Repositories—A Case Study of the Mangroves and Seagrasses of Maputo Bay, Mozambique

• Published in: Diversity (Basel) 2023-02, Vol.15 (2), p.242
• Main Authors: Bento, Marta, Paula, José, Bandeira, Salomão, Correia, Alexandra Marçal
• Format: Article
• Language: English
• Subjects: Biodiversity; Case studies; community composition; Community structure; Crustaceans; Data acquisition; Digital data; Distribution; East Africa; Ecosystems; Environmental aspects; functional diversity; Invertebrates; Macroinvertebrates; Mangrove plants; Mangroves; Marine ecosystems; Marine invertebrates; Online data bases; Sampling; Sampling methods; Sea grasses; Seagrasses; Species diversity; Species richness; taxonomic diversity; Taxonomy
• ISSN: 1424-2818; 1424-2818
• DOI: 10.3390/d15020242

Mangroves and seagrasses present with high marine macroinvertebrate biodiversity that contributes to their structure and functioning. Macroinvertebrates possess a broad range of functional traits, making them excellent models for biodiversity and available-trait-based studies. This study aimed to characterize the biodiversity of marine macroinvertebrates as two different ecosystems situated along the coastline of Maputo Bay by compiling dispersed data from online databases. Specifically, this study addressed species richness, taxonomic and functional diversity based on two traits (habitat occupation and trophic guild), and the community structure of these traits. Mangroves presented with a higher species richness and taxonomic diversity than seagrasses. The functional diversity of mangroves was mostly explained by the trophic guild trait. In the case of seagrasses, functional diversity was mostly due to differences in habitat occupation in the 20th century, but the trophic guild accounted for this functional diversity from 2000 onwards. The comparison of community compositions between the two ecosystems showed low or no similarity. The use of digital databases revealed some limitations, mostly regarding the sampling methods and individual counts. The trends and data gaps presented in this study can be further used to inform subsequent systematic data acquisition and support the development of future research. A further step that may be taken to improve the use of digital data in future biodiversity studies is to fully incorporate functional traits, abundance and sampling methods into online databases.