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| 道路网络生态干扰测度指数的改进及其空间分异特征——以闽江上游为例 | |
| 引用本文： | 林玉英,李宝银,邱荣祖,林金国,伍世代.道路网络生态干扰测度指数的改进及其空间分异特征——以闽江上游为例[J].地理科学,2021,41(6):951-959. |
| 作者姓名： | 林玉英 李宝银 邱荣祖 林金国 伍世代 |
| 作者单位： | 福建师范大学旅游学院,福建福州350117;福建师范大学地理科学学院,福建福州350117;福建师范大学地理科学学院,福建福州350117;福建农林大学交通与土木工程学院,福建福州350108;福建农林大学材料工程学院,福建福州350108;福建师范大学旅游学院,福建福州350117 |
| 基金项目： | 国家自然科学基金项目(41901221);国家自然科学基金项目(41971261) |
| 摘 要： | 以闽江上游地区为例，在传统指数的基础上，提出并采用改进后的道路网络线密度和道路网络影响域面密度指数，结合空间自相关分析方法，从线上和面上综合探索道路网络对生态干扰的空间分异格局；并分析指数间的相关性。结果表明：① 道路干扰程度具有明显的地区差异，在研究区中部、东部和南部存在空间集聚效应；② 考虑到坡度影响，同等级的道路缓冲带宽度并不是一个固定值；③ 所有指数均呈显著正相关，同类指数相关性大，不同类指数相关性小。若仅采用单一的线密度或面密度指数，则将导致信息不全；虽然同类指数间相关性很大，相互印证，但改进后的指数更加符合客观事实，建议采用。 |
| 关 键 词： | 道路网络 道路密度 道路影响域 道路生态学 闽江上游 |
| 收稿时间： | 2020-02-16 |
| 修稿时间： | 2020-04-02 |
Improvement of Road Network Measurement Indexes and Their Spatial Dif-ferentiation Characteristics:Taking the Upper Minjiang River as Example |
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| Lin Yuying,Li Baoyin,Qiu Rongzu,Lin Jinguo,Wu Shidai.Improvement of Road Network Measurement Indexes and Their Spatial Dif-ferentiation Characteristics:Taking the Upper Minjiang River as Example[J].Scientia Geographica Sinica,2021,41(6):951-959. | |
| Authors: | Lin Yuying Li Baoyin Qiu Rongzu Lin Jinguo Wu Shidai |
| Institution: | 1. College of Tourism, Fujian Normal University, Fuzhou 350117, Fujian, China 2. College of Geographical Science, Fujian Normal University, Fuzhou 350117, Fujian, China 3. College of Transportation and Civil Engineering, Fujian Agriculture and Forestry University, Fuzhou 350108, Fujian, China 4. College of Material Engineering, Fujian Agriculture and Forestry University, Fuzhou 350108, Fujian, China |
| Abstract: | Roads play an important role in socio-economic development and are the link between geospatial and human socio-economic activities. Road network expansion is an important driving factor that leads to the increase of the fragmentation of regional habitats. How to measure the characteristics of road networks scientifically and quantitatively is a key scientific issue in road ecology. Taking the upper reaches of the Minjiang River as a case, in view of some limitations in the calculation process of the current road network measurement index, a weighted road network linear density index and a sloped road network influence domain area density index are proposed and adopted. Combined with the spatial autocorrelation analysis method and using the grid of 1km×1km as the research unit, this study explores the spatial differentiation pattern of the road network's influence on the area comprehensively from the line and the surface. This study also analyzes the correlation of these road network measurement indexes to assist index selection in road ecological research. The results show that: 1) There are obvious regional differences in the degree of road impact in the study area. Generally speaking, it is decreasing from high-grade roads and urban centers in the middle of the study area to the surrounding areas. The area with a higher degree of road impact shows a ‘two vertical and two horizontals’ pattern. 2) There are spatial agglomeration effects in the influence of roads in the middle, east and south of the study area. Compared to the weighted road networks, the spatial autocorrelation of the linear density of unweighted road networks is smaller, and the differences in the influence of different grades of roads are ignored. In particular, the road network’s impact on the area is underestimated with the unweighted method. In contrast, the weighted road network and line density reflects the actual situation of the impact of different grades of roads. Moreover, the area of road influence of the same grade is not a fixed width, but changes with the slope on both sides of the road. Therefore, the result is more in line with objective reality. 3) According to the improved road impact area (MREZ) divided by taking into account the slope, the area of road impact area in the study area accounts for 39.9% of the total area of the study area. Different grades of roads have different areas of influence, with expressways having the largest area of influence and county roads having the smallest area of influence. Regardless of the division method of REZ or MREZ, the areas occupying 16.9%-17.6% of the study area are affected by multiple grade roads simultaneously. Finally, the six indexes of road network measurement are all significantly correlated. As expected, similar indexes have a large correlation while the different indexes have a small correlation. If only a single linear density or areal density index is used, it will lead to incomplete information. Although the correlation between similar indices is very strong and mutually corroborated, the improved index proposed in this study is more in line with objective facts and has simple calculation. It is recommended that in the future research on the ecological impact of roads, these improved indexes should be taken into consideration. The exploration of the new index of road network measurement in this study helps to accurately and quantitatively evaluate the ecological effect of the road network, and provides a scientific basis for further planning of the road network and its surrounding ecosystems. |
| Keywords: | road network road density road-effect zone road ecology the upper Minjiang River |
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