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Full-Text: http://hdl.handle.net/1885/79382
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New Phytologist
Article . 2010 . Peer-reviewed
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Article . 2010
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New Phytologist
Article . 2010
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Multiple mechanisms of Amazonian forest biomass losses in three dynamic global vegetation models under climate change

descriptionPublicationkeyboard_double_arrow_right Article , Journal 19 Jul 2010 Australia, United Kingdom Publisher:WileyJournal:New Phytologist, volume 187, pages 647-665 (issn: 0028-646X, eissn: 1469-8137, Copyright policy )
Authors: Stephen Sitch; Stephen Sitch; Peter M. Cox; Peter Levy; Patrick Meir; Chris Huntingford; David W. Galbraith; +1 Authors

doi: 10.1111/j.1469-8137.2010.03350.x

pmid: 20659253

handle: 1885/79382

Multiple mechanisms of Amazonian forest biomass losses in three dynamic global vegetation models under climate change

Abstract

Featured paper: See Editorial p553

Countries
Australia, United Kingdom
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Keywords

Internationality, Rain, drought, Amazon ‘die-back’, Trees, cell respiration, Keywords: carbon, dieback, plant respiration, Biomass, Photosynthesis, Geography, article, Temperature, fertilizer application, Amazon 'die-back', Droughts, climate change, phytomass, Plant respiration, rainforest, Brazil, Elevated temperatures, Dynamic global vegetation models (DGVMs), Climate Change, rainfall, Cell Respiration, Models, Biological, Ecology and Environment, Atmospheric Sciences, general circulation model, Meteorology and Climatology, Computer Simulation, rain, CO2 fertilization, photosynthesis, biomass, Amazon drought, Botany, carbon dioxide, biological model, Carbon, Plant Leaves, dynamic global vegetation models (DGVM)s, Earth Sciences, Hydrology, numerical model, Factor Analysis, Statistical, respiration, elevated temperatures

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    		 192
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    		 Top 1%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    		 Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    		 Top 1%
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
192
Top 1%
Top 10%
Top 1%
Green
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