| 中国东北地区潜在自然植被模型模拟研究 |
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| 引用本文： | 刘华民,王立新,王炜,梁存柱.中国东北地区潜在自然植被模型模拟研究[J].内蒙古大学学报(自然科学版),2007,38(2):154-159. |
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| 作者姓名： | 刘华民 王立新 王炜 梁存柱 |
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| 作者单位： | 1. 中国科学院地理科学与资源研究所,北京,100101;内蒙古大学生态与环境科学系,呼和浩特,010021
2. 内蒙古大学生态与环境科学系,呼和浩特,010021 |
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| 基金项目： | 国家自然科学基金
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国家自然科学基金地区科学基金
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内蒙古自然科学基金
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国家自然科学基金
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内蒙古科学基金 |
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| 摘 要： | 以我国东北部地区为研究对象,针对区域自然植被分布特点,利用多元分析和GIS技术,建立了基于8个环境变量(气候、地形和土壤)的东北地区区域"植被-环境"模型,对当前环境条件下,东北地区潜在自然植被类型及其地理分布进行了模拟分析.经检验,"植被-环境"模型取得了较好的模拟效果,总体精度为66.91%,Kappa统计量值为0.61.在此基础上,获得我国东北地区"潜在自然植被图".该模型可进一步用于全球变化条件下,潜在自然植被类型及其变化的预测.
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| 关 键 词： | 潜在自然植被 "植被-环境"模型 顶级 全球变化 Potential natural vegetation 'vegetation-environment ' model climax global change 中国 东北地区 植被模型 模拟研究 Northeast China Natural Vegetation Potential Simulating analyze effect climatic changes Kappa value similarity simulated good accuracy model used generate topography |
| 文章编号： | 1000-1638(2007)02-0154-06 |
| 修稿时间： | 04 5 2006 12:00AM |
Modeling on Simulating the Potential Natural Vegetation of the Northeast China |
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| LIU Hua-min,WANG Li-xin,WANG Wei,LIANG Cun-zhu.Modeling on Simulating the Potential Natural Vegetation of the Northeast China[J].Acta Scientiarum Naturalium Universitatis Neimongol,2007,38(2):154-159. |
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| Authors: | LIU Hua-min WANG Li-xin WANG Wei LIANG Cun-zhu |
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| Institution: | 1. Institute of Geographical Sciences and Natural Resources Research, CAS ,Beijin g 100101 ,China ; 2. Department of Ecological and Environmental Science, lnner Mongolia University,Hohhot 010021,China |
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| Abstract: | Based on the characteristics of natural vegetation distribution in northeast China, using multivariate analysis and geographical information established to simulate geographical distribution of 16 climax vegetation types representing the potential natural vegetation (PNV) of the northeast China,on the basis of digital maps of 8 environmental variables including climate,topography and soil types. The model was interfaced to GIS and used to generate a PNV map of the northeast China. The similarity between the simulated PNV and the actual natural vegetation distribution was very good with the accuracy of 66.91% and Kappa value of 0.61. The model can be used to analyze the effect of climatic changes on natural vegetation. |
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| Keywords: | Potential natural vegetation 'vegetation-environment ' model climax global change |
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