| The Influence of Landscape Features on Road Development in a Loess Region, China | |
Bi, Xiaoli1 ; Wang, Hui2; Zhou, Rui3
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| 发表期刊 | ENVIRONMENTAL MANAGEMENT
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| ISSN | 0364-152X |
| 2011-10-01 | |
| 卷号 | 48期号:4页码:774-780 |
| 关键词 | Road Landscape Detrended Canonical Correspondence Analysis (Dcca) Dongzhi Yuan |
| 产权排序 | [Bi, XL] Chinese Acad Sci, Yantai Inst Coastal Zone Res, Yantai 264003, Peoples R China; [Wang, H] Chinese Acad Sci, Natl Sci Lib, Beijing 100190, Peoples R China; [Zhou, R] Yunnan Univ, Inst Ecol & Geobot, Kunming 650091, Peoples R China |
| 通讯作者 | Bi, XL, Chinese Acad Sci, Yantai Inst Coastal Zone Res, 17th Chunhui Rd, Yantai 264003, Peoples R China. xlbi@yic.ac.cn |
| 作者部门 | 信息集成与应用实验室 |
| 英文摘要 | Many ecologists focus on the effects of roads on landscapes, yet few consider how landscapes affect road systems. In this study, therefore, we quantitatively evaluated how land cover, topography, and building density affected the length density, node density, spatial pattern, and location of roads in Dongzhi Yuan, a typical loess region in China. Landscape factors and roads were mapped using images from SPOT satellite (SystSme Probatoire d'Observation de la Terre), initiated by the French space agency and a digital elevation model (DEM). Detrended canonical correspondence analysis (DCCA), a useful ordination technique to explain species-environment relations in community ecology, was applied to evaluate the ways in which landscapes may influence roads. The results showed that both farmland area and building density were positively correlated with road variables, whereas gully density and the coefficient of variation (CV of DEM) showed negative correlations. The CV of DEM, farmland area, grassland area, and building density explained variation in node density, length density, and the spatial pattern of roads, whereas gully density and building density explained variation in variables representing road location. In addition, node density, rather than length density, was the primary road variable affected by landscape variables. The results showed that the DCCA was effective in explaining road-landscape relations. Understanding these relations can provide information for landscape managers and transportation planners.; Many ecologists focus on the effects of roads on landscapes, yet few consider how landscapes affect road systems. In this study, therefore, we quantitatively evaluated how land cover, topography, and building density affected the length density, node density, spatial pattern, and location of roads in Dongzhi Yuan, a typical loess region in China. Landscape factors and roads were mapped using images from SPOT satellite (SystSme Probatoire d'Observation de la Terre), initiated by the French space agency and a digital elevation model (DEM). Detrended canonical correspondence analysis (DCCA), a useful ordination technique to explain species-environment relations in community ecology, was applied to evaluate the ways in which landscapes may influence roads. The results showed that both farmland area and building density were positively correlated with road variables, whereas gully density and the coefficient of variation (CV of DEM) showed negative correlations. The CV of DEM, farmland area, grassland area, and building density explained variation in node density, length density, and the spatial pattern of roads, whereas gully density and building density explained variation in variables representing road location. In addition, node density, rather than length density, was the primary road variable affected by landscape variables. The results showed that the DCCA was effective in explaining road-landscape relations. Understanding these relations can provide information for landscape managers and transportation planners. |
| 文章类型 | Article |
| 资助机构 | Chinese National Key Project for Basic Scientific Research[2002BC11507]; Chinese Academy of Sciences[kzcx2-yw-224] |
| 收录类别 | SCI |
| 语种 | 英语 |
| 关键词[WOS] | NORTHERN WISCONSIN ; ROCKY-MOUNTAINS ; UNITED-STATES ; PATTERNS ; USA ; FRAGMENTATION ; ENVIRONMENT ; PLATEAU ; DENSITY ; LAKES |
| 研究领域[WOS] | Environmental Sciences & Ecology |
| WOS记录号 | WOS:000294683400008 |
| 引用统计 | |
| 文献类型 | 期刊论文 |
| 条目标识符 | http://ir.yic.ac.cn/handle/133337/5133 |
| 专题 | 中国科学院海岸带环境过程与生态修复重点实验室_海岸带信息集成与战略规划研究中心 海岸带生物学与生物资源利用重点实验室_海岸带生物学与生物资源保护实验室 |
| 作者单位 | 1.Chinese Acad Sci, Yantai Inst Coastal Zone Res, Yantai 264003, Peoples R China 2.Chinese Acad Sci, Natl Sci Lib, Beijing 100190, Peoples R China 3.Yunnan Univ, Inst Ecol & Geobot, Kunming 650091, Peoples R China |
| 推荐引用方式 GB/T 7714 | Bi, Xiaoli,Wang, Hui,Zhou, Rui. The Influence of Landscape Features on Road Development in a Loess Region, China[J]. ENVIRONMENTAL MANAGEMENT,2011,48(4):774-780. |
| APA | Bi, Xiaoli,Wang, Hui,&Zhou, Rui.(2011).The Influence of Landscape Features on Road Development in a Loess Region, China.ENVIRONMENTAL MANAGEMENT,48(4),774-780. |
| MLA | Bi, Xiaoli,et al."The Influence of Landscape Features on Road Development in a Loess Region, China".ENVIRONMENTAL MANAGEMENT 48.4(2011):774-780. |
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