Cellular automata: Simulating alpine tundra vegetation dynamics in response to global warming

NWIPB OpenIR

	Cellular automata: Simulating alpine tundra vegetation dynamics in response to global warming
	Zhang, Yanqing A. ; Peterman, Michael R. ; Aun, Dorin L. ; Zhang, Yanming
	2008-02-01
发表期刊	ARCTIC ANTARCTIC AND ALPINE RESEARCH ; Zhang Yanqing A.,Peterman Michael R.,Aun Dorin L.,Zhang Yanming.Cellular automata: Simulating alpine tundra vegetation dynamics in response to global warming.ARCTIC ANTARCTIC AND ALPINE RESEARCH,2008,40(1):256-263
摘要	This study attempts to model alpine tundra vegetation dynamics in a tundra region in the Qinghai Province of China in response to global warming. We used Raster-based cellular automata and a Geographic Information System to study the spatial and temporal vegetation dynamics. The cellular automata model is implemented with IDRISI's Multi-Criteria Evaluation functionality to simulate the spatial patterns of vegetation change assuming certain scenarios of global mean temperature increase over time. The Vegetation Dynamic Simulation Model calculates a probability surface for each vegetation type, and then combines all vegetation types into a composite map, determined by the maximum likelihood that each vegetation type should distribute to each raster unit. With scenarios of global temperature increase of I to 3 degrees C, the vegetation types such as Dry Kobresia Meadow and Dry Potentilla Shrub that are adapted to warm and dry conditions tend to become more dominant in the study area.; This study attempts to model alpine tundra vegetation dynamics in a tundra region in the Qinghai Province of China in response to global warming. We used Raster-based cellular automata and a Geographic Information System to study the spatial and temporal vegetation dynamics. The cellular automata model is implemented with IDRISI's Multi-Criteria Evaluation functionality to simulate the spatial patterns of vegetation change assuming certain scenarios of global mean temperature increase over time. The Vegetation Dynamic Simulation Model calculates a probability surface for each vegetation type, and then combines all vegetation types into a composite map, determined by the maximum likelihood that each vegetation type should distribute to each raster unit. With scenarios of global temperature increase of I to 3 degrees C, the vegetation types such as Dry Kobresia Meadow and Dry Potentilla Shrub that are adapted to warm and dry conditions tend to become more dominant in the study area.
文献类型	期刊论文
条目标识符	http://210.75.249.4/handle/363003/20171
专题	中国科学院西北高原生物研究所
推荐引用方式 GB/T 7714	Zhang, Yanqing A.,Peterman, Michael R.,Aun, Dorin L.,et al. Cellular automata: Simulating alpine tundra vegetation dynamics in response to global warming[J]. ARCTIC ANTARCTIC AND ALPINE RESEARCH, Zhang Yanqing A.,Peterman Michael R.,Aun Dorin L.,Zhang Yanming.Cellular automata: Simulating alpine tundra vegetation dynamics in response to global warming.ARCTIC ANTARCTIC AND ALPINE RESEARCH,2008,40(1):256-263,2008.
APA	Zhang, Yanqing A.,Peterman, Michael R.,Aun, Dorin L.,&Zhang, Yanming.(2008).Cellular automata: Simulating alpine tundra vegetation dynamics in response to global warming.ARCTIC ANTARCTIC AND ALPINE RESEARCH.
MLA	Zhang, Yanqing A.,et al."Cellular automata: Simulating alpine tundra vegetation dynamics in response to global warming".ARCTIC ANTARCTIC AND ALPINE RESEARCH (2008).