气候变化领域集成服务门户(CCPortal): Predictive models of forest dynamics

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DOI	10.1126/science.1155359
	Predictive models of forest dynamics
	Purves D.; Pacala S.
发表日期	2008
ISSN	0036-8075
起始页码	1452
结束页码	1453
卷号	320 期号:5882
英文摘要	Dynamic global vegetation models (DGVMs) have shown that forest dynamics could dramatically alter the response of the global climate system to increased atmospheric carbon dioxide over the next century. But there is little agreement between different DGVMs, making forest dynamics one of the greatest sources of uncertainty in predicting future climate. DGVM predictions could be strengthened by integrating the ecological realities of biodiversity and height-structured competition for light, facilitated by recent advances in the mathematics of forest modeling, ecological understanding of diverse forest communities, and the availability of forest inventory data.
英文关键词	carbon dioxide; biodiversity; carbon dioxide; competition (ecology); forest dynamics; forest inventory; forestry modeling; plant community; prediction; species diversity; vegetation; biodiversity; biome; ecology; forest dynamics; geography; global climate; mathematical model; prediction; priority journal; short survey; article; climate; ecosystem; forecasting; growth, development and aging; light; mathematics; nonlinear system; physiology; theoretical model; tree; Biodiversity; Climate; Ecosystem; Forecasting; Light; Mathematics; Models, Theoretical; Nonlinear Dynamics; Trees
语种	英语
来源期刊	Science
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/245144
作者单位	Computational Ecology and Environmental Science Group, Microsoft Research, Cambridge, United Kingdom; Department of Ecology and Evolutionary Biology, Princeton University, Princeton, NJ, United States
推荐引用方式 GB/T 7714	Purves D.,Pacala S.. Predictive models of forest dynamics[J],2008,320(5882).
APA	Purves D.,&Pacala S..(2008).Predictive models of forest dynamics.Science,320(5882).
MLA	Purves D.,et al."Predictive models of forest dynamics".Science 320.5882(2008).