Plankton modelling and CLAW.
| File | Size | Format | |
|---|---|---|---|
| 49544_1.pdf | 207Kb | Adobe PDF | View |
| Title | Plankton modelling and CLAW. |
|---|---|
| Author | Cropp, Roger Allan; Norbury, John |
| Journal Name | Environmental Chemistry |
| Editor | Alison Green |
| Year Published | 2007 |
| Place of publication | Australia |
| Publisher | CSIRO |
| Abstract | The prospect of human-induced climate change provides a compelling imperative for an improved understanding of living systems, especially those involving ocean plankton that are proposed to have an important role in regulating climate. Ecosystems are complex, adaptive systems and mathematical modelling has proved to be a powerful tool in understanding such systems. The present article considers some of the fundamental issues currently constraining such understanding with particular consideration to modelling ecosystems that underpin the CLAW hypothesis and how they might behave in response to global warming. |
| Peer Reviewed | Yes |
| Published | Yes |
| Publisher URI | http://www.publish.csiro.au/nid/188.htm |
| Alternative URI | http://dx.doi.org/10.1071/EN07079 |
| Copyright Statement | Copyright 2007 CSIRO. This is the author-manuscript version of this paper. Reproduced in accordance with the copyright policy of the publisher. Please refer to the journal's website for access to the definitive, published version. |
| Volume | 4 |
| Page from | 388 |
| Page to | 390 |
| ISSN | 1448-2517 |
| Date Accessioned | 2008-02-29 |
| Date Available | 2009-12-21T06:45:22Z |
| Language | en_AU |
| Research Centre | Atmospheric Environment Research Centre |
| Faculty | Faculty of Science, Environment, Engineering and Technology |
| Subject | PRE2009-Biological Oceanography; PRE2009-Climatology (incl. Palaeoclimatology); PRE2009-Global Change Biology |
| URI | http://hdl.handle.net/10072/17990 |
| Publication Type | Journal Articles (Refereed Article) |
| Publication Type Code | c1 |
Please use this identifier to cite this record: http://hdl.handle.net/10072/17990
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