| 辽河口湿地生态景观格局形成机制分析 |
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| 引用本文： | 荣子容,马安青,王志凯,于浩,张敬旭.辽河口湿地生态景观格局形成机制分析[J].中国海洋大学学报(自然科学版),2012(Z2):138-143. |
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| 作者姓名： | 荣子容 马安青 王志凯 于浩 张敬旭 |
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| 作者单位： | 中国海洋大学环境科学与工程学院海洋环境与生态教育部重点实验室 |
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| 基金项目： | 国家水体污染控制与治理科技重大专项(2008ZX07526-001-02);辽河河口区大型湿地生态修复关键技术与示范研究项目(2008ZX07208-009);本科生研究发展计划项目(OUC-SRDP)资助 |
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| 摘 要： | 利用2007年景观格局图、DEM数据、人口、GDP等数据,运用地理信息系统(GIS)和Logistic回归分析模型相结合的分析方法,揭示辽河口湿地景观格局形成机制。结果表明:建筑用地、芦苇地、水稻田和养殖区的Logistic回归模型具有较好的拟合优度。模拟结果表明,转为建筑用地的Logistic回归模型的重要的解释变量是农村人口密度和城镇人口密度;转为芦苇地的Logistic回归模型的重要的解释变量是农村人口密度和过境水资源量;转为水稻田和养殖区的Logis-tic回归模型的重要的解释变量都是农村人口密度和第一产业值。在这4种生态景观格局的二元Logistic回归模型中最重要的解释变量都是农村人口密度,这表明辽河口湿地景观格局形成最主要的驱动因素是农村人口密度。
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| 关 键 词： | 二值Logistic回归 湿地景观格局 拟合优度 最重要的解释变量 |
Formation Mechanism of Landscape Pattern Based on Logistic Regression Model in the Wetland of Liaohe |
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| RONG Zi-Rong,MA An-Qing,WANG Zhi-Kai,YU Hao,ZHANG Jing-Xu.Formation Mechanism of Landscape Pattern Based on Logistic Regression Model in the Wetland of Liaohe[J].Periodical of Ocean University of China,2012(Z2):138-143. |
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| Authors: | RONG Zi-Rong MA An-Qing WANG Zhi-Kai YU Hao ZHANG Jing-Xu |
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| Institution: | (The Key Laboratory of Marine Environment&Ecology,Ministry of Education.College of Environmental Science and Engineerning,Ocean University of China,Qingdao 266100,China) |
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| Abstract: | This paper analyzes and simulates the landscape in 2007 using ArcGIS and Logistic regression model with the date of landscape map,DEM,population,GDP,and so on,it reveals the formation mechanism of wetland landscape pattern.The results show that: the logistic regression model of landscape patterns has better goodness-of-fit.The explanatory variables of spatial model of building land suggest a model,where conversion to building land is controlled by rural population density and urban population density;reed land conversion is controlled by rural population density and cross-border water resources;rice land and aquaculture area are both controlled by rural population density and the first industrial output.In the 4 kinds of landscape patterns based on binary logistic regression models explain that rural population density is the most important variable,which is also the most driving facet from the formation of the wetland of Liaohe. |
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| Keywords: | Logistic regression analysis wetland landscape pattern goodness-of-fit the most important variable |
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