Journal article
From Bacteria to Whales: Using Functional Size Spectra to Model Marine Ecosystems
Trends in Ecology & Evolution, Vol.32(3), pp.174-186
2017
PMID: 28109686
Abstract
Size-based ecosystem modeling is emerging as a powerful way to assess ecosystem-level impacts of human- and environment-driven changes from individual-level processes. These models have evolved as mechanistic explanations for observed regular patterns of abundance across the marine size spectrum hypothesized to hold from bacteria to whales. Fifty years since the first size spectrum measurements, we ask how far have we come? Although recent modeling studies capture an impressive range of sizes, complexity, and real-world applications, ecosystem coverage is still only partial. We describe how this can be overcome by unifying functional traits with size spectra (which we call functional size spectra) and highlight the key knowledge gaps that need to be filled to model ecosystems from bacteria to whales.
Details
- Title
- From Bacteria to Whales: Using Functional Size Spectra to Model Marine Ecosystems
- Authors
- Julia L. Blanchard (Corresponding Author) - University of TasmaniaRyan F. Heneghan (Author) - University of QueenslandJason D. Everett (Author) - Sydney Institute of Marine ScienceRowan Trebilco (Author) - Antarctic Climate and Ecosystems Cooperative Research CentreAnthony J. Richardson (Author) - University of Queensland
- Publication details
- Trends in Ecology & Evolution, Vol.32(3), pp.174-186
- Publisher
- Cell Press
- Date published
- 2017
- DOI
- 10.1016/j.tree.2016.12.003
- ISSN
- 1872-8383
- PMID
- 28109686
- Grant note
- NE/L003279/1 / Department for Environment, Food and Rural Affairs; UK Natural Environment Research Council; UK Research & Innovation (UKRI); Australian Postgraduate Award; Australian Government; RJL Hawke Postdoctoral Fellowship
- Organisation Unit
- School of Science, Technology and Engineering
- Language
- English
- Record Identifier
- 99744889502621
- Output Type
- Journal article
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- Domestic collaboration
- Web Of Science research areas
- Ecology
- Evolutionary Biology
- Genetics & Heredity
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