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Please use this identifier to cite or link to this item: http://hdl.handle.net/1959.14/288016
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- Title
- Dynamic global vegetation models
- Related
- Levin, Simon A.. Encyclopedia of biodiversity 2nd edition, p.670-689
- DOI
- 10.1016/B978-0-12-384719-5.00412-3
- Publisher
- Amsterdam : Elsevier
- Date
- 2013
- Author/Creator
- Prentice, Iain Colin
- Author/Creator
- Cowling, Sharon A
- Description
- Dynamic global vegetation models encapsulate our knowledge of plant and ecosystem function. They have many potential applications but not all of these are well developed, and large differences among model predictions are a concern. Fields of application include analysis of land–atmosphere biophysical interactions, carbon and water cycling, climate impacts on vegetation structure, fire, atmospheric trace gas composition, Quaternary vegetation and environmental changes, and ecosystem structure and function through Earth history. There is scope to improve models using a wider range of information from plant functional ecology, ecophysiology, environmental remote sensing, and atmospheric measurement, Quaternary paleoecology, and paleobotany.
- Description
- 20 page(s)
- Subject Keyword
- 050100 Ecological Applications
- Subject Keyword
- 060200 Ecology
- Subject Keyword
- Ancient ecosystems
- Subject Keyword
- Biosphere
- Subject Keyword
- Hydrological cycle
- Subject Keyword
- Land–atmosphere interactions
- Subject Keyword
- Paleoecology
- Subject Keyword
- Plant functional types
- Subject Keyword
- Remote sensing
- Subject Keyword
- Carbon cycle
- Subject Keyword
- Carbon dioxide
- Subject Keyword
- Climate change
- Subject Keyword
- Dynamic global vegetation model
- Subject Keyword
- Earth system model
- Subject Keyword
- Ecophysiology
- Subject Keyword
- Feedbacks
- Subject Keyword
- Fire
- Resource Type
- book chapter
- Organisation
- Macquarie University. Department of Biological Sciences
- Identifier
- http://hdl.handle.net/1959.14/288016
- Identifier
- mq:30898
- Identifier
- ISBN:9780123847195
- Identifier
- mq-rm-2013002354
- Identifier
- mq_res-20140526-100612
- Language
- eng
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