Data

Ghedini, White & Marshall (2018) Metabolic scaling across succession: do individual rates predict community-level energy use? Functional Ecology

Monash University
Craig White (Aggregated by) Giulia Ghedini (Aggregated by)
Viewed: [[ro.stat.viewed]] Cited: [[ro.stat.cited]] Accessed: [[ro.stat.accessed]]
ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=info:doi10.4225/03/5aa1d20d4e544&rft.title=Ghedini, White & Marshall (2018) Metabolic scaling across succession: do individual rates predict community-level energy use? Functional Ecology&rft.identifier=https://doi.org/10.4225/03/5aa1d20d4e544&rft.publisher=Monash University&rft.description=A series of data on the species composition of sessile invertebrate communities at different successional stages, community total mass and metabolism. In addition, there are species-specific metabolic rates, area-mass relationships, body size distributions and abundance for the three dominant species in the community (Pyura, tubeworms and Watersipora) which we used to estimate overall community metabolism.&rft.creator=Craig White&rft.creator=Craig White&rft.creator=Giulia Ghedini&rft.creator=Giulia Ghedini&rft.date=2018&rft_rights=CC0&rft_subject=community ecology&rft_subject=succession&rft_subject=metabolism&rft_subject=competition&rft_subject=Community Ecology (excl. Invasive Species Ecology)&rft.type=dataset&rft.language=English Access the data

Licence & Rights:

view details

CC0

Access:

Other

Full description

A series of data on the species composition of sessile invertebrate communities at different successional stages, community total mass and metabolism. In addition, there are species-specific metabolic rates, area-mass relationships, body size distributions and abundance for the three dominant species in the community (Pyura, tubeworms and Watersipora) which we used to estimate overall community metabolism.

Issued: 2018-04-18

Created: 2018-04-18

This dataset is part of a larger collection

Click to explore relationships graph
Subjects

User Contributed Tags    

Login to tag this record with meaningful keywords to make it easier to discover

Identifiers
ACN 633 798 857