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dc.date.available
2023-04-28T18:04:29Z  
dc.identifier.citation
Scrosati, Ricardo Augusto; Arribas, Lorena Pilar; Donnarumma, Luigia; (2023): Abundance data for invertebrate assemblages from intertidal mussel beds along the Atlantic Canadian coast. Consejo Nacional de Investigaciones Científicas y Técnicas. (dataset). http://hdl.handle.net/11336/195842  
dc.identifier.uri
http://hdl.handle.net/11336/195842  
dc.description.abstract
This data set describes the abundance of invertebrate taxa found in intertidal mussel beds along the Atlantic Canadian coast. The data resulted from a regional-scale study that investigated the effects of wave exposure on the richness and composition of invertebrate assemblages from intertidal mussel beds. Abundance data are provided for taxa representing the Annelida, Arthropoda, Bryozoa, Chordata, Cnidaria, Echinodermata, Mollusca, Nematoda, Nemertea, and Platyhelminthes. The data characterize mussel beds from wave-sheltered and wave-exposed locations spanning 315 km of coast. Univariate and multivariate analyses revealed that the compositional structure of these invertebrate assemblages differed markedly depending on wave exposure. Overall, this data set exhibits important properties that could make it useful to test broader ecological theory. Such properties include its taxonomic diversity, the possession of data for basal, intermediate, and top trophic levels, and the coverage of two extremes of environmental stress. Thus, areas of ecology that could experience advances using this data set are those concerning environmental stress models of community organization, abundance–occupancy relationships, species co-occurrence, species abundance distributions, dominance and rarity, spatial scales of population and community variation, and distribution of functional and phylogenetic diversity.  
dc.rights
info:eu-repo/semantics/openAccess  
dc.rights.uri
https://creativecommons.org/publicdomain/zero/1.0/  
dc.title
Abundance data for invertebrate assemblages from intertidal mussel beds along the Atlantic Canadian coast  
dc.type
dataset  
dc.description.fil
Fil: Scrosati, Ricardo Augusto. Saint Francis Xavier University; Canadá  
dc.description.fil
Fil: Arribas, Lorena Pilar. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Centro Nacional Patagónico. Instituto de Biología de Organismos Marinos; Argentina  
dc.description.fil
Fil: Donnarumma, Luigia. Università degli Studi di Napoli Parthenope. Dipartimento di Scienze e Tecnologie; Italia  
dc.datacite.PublicationYear
2023  
dc.datacite.Creator
Scrosati, Ricardo Augusto  
dc.datacite.Creator
Arribas, Lorena Pilar  
dc.datacite.Creator
Donnarumma, Luigia  
dc.datacite.affiliation
Saint Francis Xavier University  
dc.datacite.affiliation
Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Centro Nacional Patagónico. Instituto de Biología de Organismos Marinos  
dc.datacite.affiliation
Università degli Studi di Napoli Parthenope. Dipartimento di Scienze e Tecnologie  
dc.datacite.affiliation
Saint Francis Xavier University  
dc.datacite.publisher
Consejo Nacional de Investigaciones Científicas y Técnicas  
dc.datacite.subject
Biología Marina, Limnología  
dc.datacite.subject
Ciencias Biológicas  
dc.datacite.subject
CIENCIAS NATURALES Y EXACTAS  
dc.datacite.subject
Ecología  
dc.datacite.subject
Ciencias Biológicas  
dc.datacite.subject
CIENCIAS NATURALES Y EXACTAS  
dc.datacite.ContributorType
RelatedPerson  
dc.datacite.ContributorName
Ellrich, Julius  
dc.datacite.date
10/09/2012-10/10/2012  
dc.datacite.DateType
Recolectado  
dc.datacite.language
eng  
dc.datacite.version
10.1002/ecy.3137  
dc.datacite.description
We conducted our field work during low tides to be able to collect the mussels and associated invertebrate assemblages with precision and in safe conditions. After randomly determining the position of the targeted 15 replicate quadrats at each surveyed location, we carefully removed all of the mussels that were attached to the substrate at each quadrat and the associated invertebrates found on, and among, the mussels. We stored the mussels and associated fauna collected from each quadrat in a separate plastic bag. Soon after, we transported the resulting bags in a cooler to the laboratory. We then stored the bags in a freezer until identification and counting of the associated invertebrates were done. We measured the abundance of invertebrate taxa collected from each replicate quadrat by counting the corresponding organisms under a laboratory microscope. We identified all invertebrates (> 0.5 mm) to the lowest possible taxonomic level (often species) using field guides and a taxonomic key. We updated all species names in April 2020 using the World Register of Marine Species (WoRMS).  
dc.datacite.DescriptionType
Métodos  
dc.datacite.FundingReference
CBIE-ELAP to Lorena P. Arribas  
dc.datacite.FundingReference
NSERC to Ricardo A. Scrosati  
dc.datacite.FunderName
Natural Sciences and Engineering Research Council  
dc.datacite.geolocation
Atlantic coast of Nova Scotia, Canada  
dc.subject.keyword
Abundance  
dc.subject.keyword
diversity  
dc.subject.keyword
ecosystem engineer  
dc.subject.keyword
foundation species  
dc.subject.keyword
intertidal  
dc.subject.keyword
environmental stress  
dc.subject.keyword
invertebrate  
dc.subject.keyword
rocky shore  
dc.subject.keyword
wave exposure  
dc.relationtype.IsVersionOf
https://ri.conicet.gov.ar/handle/11336/29661  
dc.datacite.resourceTypeGeneral
dataset  
dc.datacite.awardTitle
Emerging Leaders of the Americas Program  
dc.datacite.awardTitle
Discovery Grant  
dc.datacite.geolocation
-: 45°10 N, 61° 21 W; 44° 26 N, 63° 37 W; 43° 49 N, 64° 50 W; 45° 11 N, 61° 21 W; 44° 39 N, 63° 34 W; 44° 38 N, 63° 34 W;  
dc.datacite.formatedDate
2012