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生态学杂志 ›› 2022, Vol. 41 ›› Issue (11): 2236-2244.doi: 10.13292/j.1000-4890.202210.019

• 研究报告 • 上一篇    下一篇

道路网络对景观格局及景观生态风险的影响——以瑞兴于地区为例

陆晴1,2,刘根林1,闫冰3,赵东升4*


  

  1. 1东华理工大学测绘工程学院, 南昌 330013; 2东华理工大学资源与环境经济研究中心, 南昌 330013; 3江西省科学院能源研究所, 南昌 330096; 4中国科学院地理科学与资源研究所, 中国科学院陆地表层格局与模拟重点实验室, 北京 100101)

  • 出版日期:2022-11-10 发布日期:2022-12-07

Impacts of road network on landscape pattern and landscape ecological risk: A case study of Ruijin-Xingguo-Yudu region.

LU Qing1,2, LIU Gen-lin1, YAN Bing3, ZHAO Dong-sheng4*   

  1. (1Faculty of Geomatics, East China University of Technology, Nanchang 330013, China; 2Research Center of Resource and Environment Economics, East China University of Technology, Nanchang 330013, China; 3Institute of Energy, Jiangxi Academy of Science, Nanchang 330096, China; 4Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China).

  • Online:2022-11-10 Published:2022-12-07

摘要: 为研究道路网络对景观格局及景观生态风险的影响,以瑞兴于地区为研究区,基于2013年和2018年土地利用数据及道路数据,运用核密度估算、缓冲区分析、道路贡献率及地理加权回归模型等方法,定性、定量分析景观格局及景观生态风险对道路网络建设的响应。结果表明:瑞兴于地区道路密度等级整体提高,中部地区更为明显;PD指数随缓冲区距离增加而减小,LPI指数及CONATG指数随缓冲区距离增加而增大,而SHDI指数则呈先增后减的趋势;道路网络对建设用地的景观指数影响较大,对林地、草地、水域的景观格局指数影响较小;研究区景观生态风险整体向更高等级演化,中、高、极高3个等级区域面积占比由2013年的24.76%、19.49%、14.96%上升至2018年的26.61%、22.80%、15.64%;景观生态风险具有较强的空间异质性,高等级风险区域主要位于兴国、于都的盆地地区,低等级风险区域大体位于较高海拔地区,多为山地地貌;地理加权回归结果表明,景观生态风险与采样区中心点至道路最短距离呈负相关,与道路密度呈正相关。研究结果对瑞兴于地区规划建设及生态环境保护具有一定意义。


关键词: 道路网络, 景观格局, 景观生态风险, 地理加权回归, 瑞兴于地区

Abstract: Based on land use data and road data of 2013 and 2018, we explored the impacts of road network on landscape pattern and ecological risk in Ruijin-Xingguo-Yudu region. Using kernel density estimation, buffer analysis, road contribution rate and geographically weighted regression model, we analyzed the responses of landscape pattern and ecological risk to road network construction. The results showed that road density grade of Ruijin-Xingguo-Yudu region generally increased, being more obvious in the central area. The PD index decreased with increasing buffer distance, the LPI index and the CONATG index increased, and the SHDI index increased first and then decreased. The road network had a great impact on the landscape index of construction land, but little impact on the landscape pattern index of forest land, grassland, and water bodies. The overall landscape ecological risk of the study area evolved to a higher level, with the proportion of medium-level, high-level and extremely high-level areas increasing from 24.76%, 19.49%, and 14.96% in 2013 to 26.61%, 22.80%, and 15.64% in 2018. Landscape ecological risk had strong spatial heterogeneity, with high-level risk areas being mainly located in the basin areas of Xingguo and Yudu, and low-level risk areas generally located in high altitude areas, mostly in the mountainous landforms. The results of geographical weighted regression showed that the ecological risk of landscape was negatively correlated with the shortest distance from the sampling center to the road and positively correlated with road density. Our results have implications for regional planning and construction and ecological environment protection of Ruijin-Xingguo-Yudu region.


Key words: road network, landscape pattern, landscape ecological risk, geographical weighted regression, Ruijin-Xingguo-Yudu region.