Document type
Journal articles
Document subtype
Full paper
Title
A Dataset of Marine Macroinvertebrate Diversity from Mozambique and São Tomé and Príncipe
Participants in the publication
Marta Bento (Author)
Dep. Biologia Animal
MARE
Henrique Niza (Author)
INSTITUTO PORTUGUÊS DO MAR E DA ATMOSFERA, I.P.
Alexandra Cartaxana (Author)
Salomão Bandeira (Author)
José Paula (Author)
Dep. Biologia Animal
MARE
Alexandra Marçal Correia (Author)
Dep. Biologia Animal
MARE
Summary
Marine macroinvertebrate communities play a key role in ecosystem functioning by regulating flows of energy and materials and providing numerous ecosystem services. In Mozambique and São Tomé and Príncipe marine macroinvertebrates are important for the livelihood and food security of local populations. We compiled a dataset on marine invertebrates from Mozambique and São Tomé and Príncipe through an extensive data search of digital platforms, scientific literature, and natural history collections (NHC). This dataset encompasses data from 1816 to 2023 and comprises 20,122 records, representing 617 families, 1552 genera, 2137 species, providing species occurrence in mangrove forests, seagrass beds, coral reefs, and other coastal and offshore habitats. The dataset has a Darwin Core standard format and has been fully released in the Global Biodiversity Information Facility (GBIF). It is accessible through the GBIF portal under the Creative Commons Attribution 4.0 International license. The data are standardized and validated with tools such as WoRMS, GEOLocate, and Google Maps. Therefore, they can be readily used for further studies on species richness, distribution, and functional traits. Overall, this dataset contributes baseline information on marine biodiversity for future research.
Date of Submisson/Request
2023-03-07
Date of Acceptance
2023-04-25
Date of Publication
2023-04-25
Institution
FACULDADE DE CIÊNCIAS DA UNIVERSIDADE DE LISBOA
Where published
Data
Publication Identifiers
ISSN - 2306-5729
Document Identifiers
DOI -
https://doi.org/10.3390/data8050076
URL -
https://www.mdpi.com/2306-5729/8/5/76
Rankings
SCIMAGO Q2 (2021) - 0,56 - Information Systems
SCIMAGO Q2 (2021) - 0,56 - Information Systems and Management
SCIMAGO Q2 (2021) - 0,56 - Computer Science Applications
Keywords
biodiversity
mangrove forests
seagrass beds
database
GBIF
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