Cellular automata: Simulating alpine tundra vegetation dynamics in response to global warming
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 mo...
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ftchinacascnwipb:oai:210.75.249.4:363003/35459 2023-05-15T14:14:27+02:00 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 http://ir.nwipb.ac.cn/handle/363003/1239 http://210.75.249.4/handle/363003/15075 http://210.75.249.4/handle/363003/20171 http://210.75.249.4/handle/363003/25267 http://210.75.249.4/handle/363003/30363 http://210.75.249.4/handle/363003/35459 unknown 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 http://ir.nwipb.ac.cn/handle/363003/1239 http://210.75.249.4/handle/363003/15075 http://210.75.249.4/handle/363003/20171 http://210.75.249.4/handle/363003/25267 http://210.75.249.4/handle/363003/30363 http://210.75.249.4/handle/363003/35459 期刊论文 2008 ftchinacascnwipb 2023-03-26T20:34:28Z 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. Report Antarctic and Alpine Research Arctic Tundra Northwest Institute of Plateau Biology: NWIPB OpenIR (Chinese Academy of Sciences) |
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Northwest Institute of Plateau Biology: NWIPB OpenIR (Chinese Academy of Sciences) |
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ftchinacascnwipb |
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description |
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. |
format |
Report |
author |
Zhang, Yanqing A. Peterman, Michael R. Aun, Dorin L. Zhang, Yanming |
spellingShingle |
Zhang, Yanqing A. Peterman, Michael R. Aun, Dorin L. Zhang, Yanming Cellular automata: Simulating alpine tundra vegetation dynamics in response to global warming |
author_facet |
Zhang, Yanqing A. Peterman, Michael R. Aun, Dorin L. Zhang, Yanming |
author_sort |
Zhang, Yanqing A. |
title |
Cellular automata: Simulating alpine tundra vegetation dynamics in response to global warming |
title_short |
Cellular automata: Simulating alpine tundra vegetation dynamics in response to global warming |
title_full |
Cellular automata: Simulating alpine tundra vegetation dynamics in response to global warming |
title_fullStr |
Cellular automata: Simulating alpine tundra vegetation dynamics in response to global warming |
title_full_unstemmed |
Cellular automata: Simulating alpine tundra vegetation dynamics in response to global warming |
title_sort |
cellular automata: simulating alpine tundra vegetation dynamics in response to global warming |
publishDate |
2008 |
url |
http://ir.nwipb.ac.cn/handle/363003/1239 http://210.75.249.4/handle/363003/15075 http://210.75.249.4/handle/363003/20171 http://210.75.249.4/handle/363003/25267 http://210.75.249.4/handle/363003/30363 http://210.75.249.4/handle/363003/35459 |
genre |
Antarctic and Alpine Research Arctic Tundra |
genre_facet |
Antarctic and Alpine Research Arctic Tundra |
op_relation |
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 http://ir.nwipb.ac.cn/handle/363003/1239 http://210.75.249.4/handle/363003/15075 http://210.75.249.4/handle/363003/20171 http://210.75.249.4/handle/363003/25267 http://210.75.249.4/handle/363003/30363 http://210.75.249.4/handle/363003/35459 |
_version_ |
1766286902612197376 |