青藏铁路格—拉段沿线景观生态风险的时空动态及其驱动机制
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1.南京信息工程大学;2.中国科学院地理科学与资源研究所

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国家重点研发计划项目(2021YFB2600100)


Spatio-temporal dynamics and their driving mechanisms of the landscape ecological risk along the Golmud-Lhasa section of Qinghai-Tibet Railway
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1.Nanjing University of Information Science &2.Technology

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    摘要:

    科学评估交通基础设施生态环境影响是当前研究的热点。选取景观生态风险指数作为道路生态环境效应评估指标,基于土地利用、遥感、气象、地形和社会经济等数据,评估了1990—2020年青藏铁路格—拉段沿线景观生态风险的时空变化特征,并结合最优参数地理探测器模型分析了景观生态风险的驱动因子。结果表明,青藏铁路格—拉段沿线地区整体景观生态风险较低,并呈现明显的东北部最高、中部较高而西南部最低的空间分布格局,且距铁路中心线越近,景观生态风险越高;青藏铁路格—拉段建设后,景观生态风险呈微弱上升态势,景观生态风险指数由建设前的0.29上升到建设后的0.30;同时,在青藏铁路格—拉段修建和运营期,沿线地区景观生态风险呈现持续增加态势,景观生态风险指数上升速率约为0.40 %/a,且有沿铁路呈点和轴状扩散的趋势;景观生态风险的驱动因子主要为植被覆盖度、降水和海拔(q > 0.44) ,其次为气温、经济发展和人口密度 (q > 0.13),且植被覆盖度与海拔和与温度的交互作用对景观生态风险的解释力最高(q > 0.61),但在铁路运营期,经济发展和夜间灯光对景观生态风险的贡献率呈现增加趋势。这表明,青藏铁路格—拉段建设和运营带来的人类活动强度增加,加剧了青藏铁路格—拉段沿线地区的生态风险。研究结果可以深化对陆路交通生态环境影响的认识,为国家制定合理的道路修建策略提供科学依据。

    Abstract:

    The scientific evaluation of the eco-environmental impacts of transportation infrastructure constitutes a hot research topic today. Numerous studies have emphasized how land-based transportation infrastructure profoundly alters ecosystem structures and functions, particularly in ecologically fragile regions. As the world's highest and longest plateau railway, this region serves as an exemplary case study for elucidating the ecological ramifications of road construction and operation. Using a landscape ecological risk index, this study investigated the spatio-temporal patterns of landscape ecological risk along the Golmud-Lhasa section of the Qinghai-Tibet Railway from 1990 to 2020 according to land use, remote sensing, meteorological, topographic, and socioeconomic data. Subsequently, the underlying driving forces were analyzed utilizing the optimal parameters-based geographical Geodetector model. The results showed an overall low landscape ecological risk along the Golmud-Lhasa section of the Qinghai-Tibet Railway, and the highest, moderate, and lowest risk in the northeast, middle, and southwest regions, respectively. Meanwhile, the closer to the railway centerline, the higher the landscape ecological risk, particularly in urban areas. The landscape ecological risk increased slightly after the construction of the railway, with the risk index increasing from 0.29 to 0.30, with a growth rate of approximately 0.40%/a, with the expansion pattern displaying point- and axis-aligned characteristics. Moreover, the increasing trend of landscape ecological risk is particularly pronounced in the northeastern, southwestern edge, and central regions. Simultaneously, the urban and non-urban areas overall showed a decreasing and an increasing trend in risk, respectively. The landscape ecological risk was mainly controlled by vegetation cover, precipitation, and elevation (q>0.44), followed by temperature, economic development, and population density (q>0.13). The interaction of vegetation cover with elevation and temperature had the highest explanatory power (q>0.61). Though the socio-economic factors are secondary to the natural factors, their contributions increased during the operation period as characterized by a rise of the explanatory power by economic development and nighttime lights. These together indicate that the ecological risk along the Qinghai-Tibet Railway has been accelerated by increasing human activities during the construction and operation periods. The study's insights are pivotal for comprehending the ecological impacts of terrestrial transportation systems and formulating road construction strategies in China to mitigate adverse ecological effects, especially in ecologically fragile and sensitive areas. We recommend establishing ecological buffer zones along the route to promote ecological restoration and protection, alongside the implementation of a robust ecological environment monitoring system to regulate and intervene in potential ecological risks, thereby maintaining the ecological barrier status of the Qinghai-Tibet Plateau region.

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沙清泉,黄麟,樊江文,张良侠,朱彤,沈梦琦.青藏铁路格—拉段沿线景观生态风险的时空动态及其驱动机制.生态学报,,(). http://dx. doi. org/[doi]

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