Abstract
						
					
					
					
						
						
							In this paper, a biogeographical modelBIOME4, was used to predict potential vegetation distribution in NorthSouth transect of eastern China under climate change. Firstly, the BIOME4 was validated according to the climatevegetation relationships in China. Kappa statistics showed that the validated BIOME4 was able to capture the geographical patterns of vegetation more accurately. Kappa values of tropical evergreen forest, tropical deciduous forest, warm mixed forest, temperate deciduous forest, cool mixed forest, deciduous taiga and temperate grassland are at good and very good level.The simulation results of temperate conifer forest and cool conifer forest are at poor level. The validated BIOME4 was used to predict the distribution of biome of NorthSouth transect of eastern China under SRESA1B climate scenario produced by a regional circulation model, RegCM3. The simulation results showed obvious northward shifts of the tropical forest,warm temperate forest, cool mixed forest and taiga. In the future, the changed regions of biome distribution are pointed, i.e., coastal areas of Hainan, the junction area of the torrid and subtropical zone, most area of northern subtropical and temperate zone, most area of cool temperate and cold temperate zone. In the future, area of tropical biomes, warm mixed forest, cool mixed forest will increase 1167 6×105, 5004 8×105 and 6110 0×105 km2, respectively; The area of temperate deciduous forest, temperate grassland and taiga will decrease 2089 0×105, 2162 8×105 and 2517 0×105 km2, respectively; temperate conifer forest will disappear.
						
						
						
					
					
					
					
					
					
					 
					
					
					
					
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									DONG Zhuoyao1, OUYANG Yan1*, LI Hang1, WANG Lei2, ZHAO Dehua1, AN Shuqing1, LIU Shirong3. 
									
									Modeling the biome of NorthSouth transect of eastern China in the future using BIOME4 model[J]. JOURNAL OF NANJING FORESTRY UNIVERSITY. 2011, 35(03): 4 https://doi.org/10.3969/j.jssn.1000-2006.2011.03.005
								
							 
						 
					 
					
					
					
						
						
					
					
						
						
						
							
								
									
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References
						
						
							[1]GainReto Walther.Plants in a warmer world,perspectives in plant ecology[J].Evolution and Systematics,2003,6(3):169-183.
[2]周广胜,王玉辉,白莉萍,等.陆地生态系统与全球变化相互作用的研究进展[J].气象学报,2004,62(5):692-707.
[3]VEMAP Members.Vegetation/ecosystem modeling and analysis project:comparing biogeography and biogeochemistry models in a continentalscale study of terrestrial ecosystem responses to climate change and CO2 doubling[J].Global Biogeochemical Cycles,1995,9(4):407-437.
[4]Woodward F I,Lomas M R,Betts R A.Vegetationclimate feedbacks in a greenhouse world[J].Philosophical Transactions of the Royal Society,1998,353B:29-39.
[5]赵茂盛,Neilson R P,延晓冬,等.气候变化对中国植被可能影响的模拟 [J].地理学报,2002,57(1):28-38.
[6]范泽孟,岳天祥. 中国Holdridge生命地带及其多样性的时空变化分析[J].地理研究,2005,24(1)121-129.
[7]Weng E S,Zhou G S.Modeling distribution changes of vegetation in China under future climate change[J].Environment Modeling and Assessment,2006,11:45-58.
[8]Kaplan J D.Geophysical applications of vegetation modeling[D].Sweden:Lund University,2001.
[9]彭少麟,赵平,任海,等.全球变化压力下中国东部样带植被与农业生态系统格局的可能性变化 [J].地学前缘,2002,9(1):217-226.
[10]Kaplan J O,Mark N.Arctic climate change with a 2 ℃ global warming:Timing,climate patterns and vegetation change[J].Climate Change,2006,79:213-241.
[11]Ni J,Martin T S,Prentice I C,et al. Modeling the vegetation of China using the processbased equilibrium terrestrial biosphere model BIOME3[J].Global Ecology & Biogeography,2000(9):463-479.
[12]Ni J.A Simulation of biomes on the tibetan plateau and their responses to global climate Change[J].Mountain Research and Development,2000,20(1):80-89.
[13]许吟隆,张勇,林一骅,等.利用PRECIS分析SRES B2 情景下中国区域的气候变化响应[J].科学通报,2006:51(17):2068-2074.
[14]国家气象信息中心.中国地面气候标准月值数据集[EB OL].[20100301].http://cdc.cma.gov.cn.
[15]高以信.1∶400万中国土壤图[M].北京:科学出版社,1998.
[16]侯学煜.中国植被图(1∶400万)[M].北京:地图出版社,1980.
[17]张新时.中国植被区划图(1∶600万)[M].北京:地图出版社,2007.
[18]侯学煜.中国植被地理分布的规律性[J].西北植物研究,1981,1(1):2-11.
[19]侯学煜.中国植被地理及优势植物化学成分[M].北京:科学出版社,1982.
[20]吴征镒.中国植被[M].北京:科学出版社,1980.
[21]方精云.我国森林植被带的生态气候学分析[J].生态学报,1991,11(4):377-387.
[22]方精云.也论我国东部植被带的划分[J].植物学报,2001,43(5):522-533.
[23]Monserud R A,Leemans R.Comparing global vegetation maps with the Kappa statistic[J].Ecological Modelling,1992,62:275-293.