2022年冬奥会崇礼赛区多重压力下生态风险评价
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国家自然科学基金项目(41877529,U21A2041,32201435);城市与区域生态国家重点实验室开放基金项目(SKLURE2022-2-2)


Multiple stressors ecological risk assessment in Chongli, a host site of the 2022 Winter Olympics
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    摘要:

    冬奥会这类重大体育赛事对举办城市的经济转型、城市功能升级、竞争力提升等方面具有助推效应,而其带来的生态影响也不容小觑。近年随着赛事规模的不断扩大和户外场馆的建设,冬奥会导致的生态风险愈加突出。然而,对于规模大、历时长的冬奥会复杂生态风险目前还缺乏定量评价方法。研究旨在探讨一种区域生态风险评价方法,即相对风险模型,并基于地理信息系统(GIS)定量评价冬奥会赛前准备阶段多重压力下的生态风险。选择2022年冬奥会崇礼赛区为案例区,构建压力-生境-终点三大要素组成的相对风险模型,将整个崇礼划为6个风险分区,辨识了冬奥会赛前阶段包括各种人类生产、建设活动和自然因素的11类压力(威胁)、6类生境和4个评价终点,并确定了压力和生境的分级标准。压力分级评价结果显示,道路和交通活动的得分最高,得分最低的是火灾。生境相对等级评价表明,河流栖息地的得分最高,得分最低的是湿地与景区滑雪场。从不同生态终点得分看,生物多样性的风险最高,娱乐休闲风险最低。总体区域风险评价表明,VI区四台嘴乡冬奥场馆核心区的风险得分最高,而风险最低的为III区,包括石嘴子乡和驿马图乡。最后,对相对风险评价的不确定性进行分析,并讨论其优缺点。总之,尽管存在不确定性,相对方法模型仍被认为是评估和优先考虑多个资产的多重压力风险的稳健方法,也是决策者确定管理行动优先级的有用筛选工具。研究证明了相对风险模型方法评估2022年冬奥会主办地风险的可行性,研究结果明确了崇礼区恢复工作的重点区域和压力,对冬奥会的可持续管理和地方发展具有重要参考价值。

    Abstract:

    Mega sporting events, such as Winter Olympics, have a boosting role for the economic transformation, functional upgrading, and competitiveness improvement of the host cities. The ecological and environmental impacts of mega sporting events are commanding increasing attention. The ecological risk issue is particularly acute with regard to the increasing tournament scale and outdoor venues construction of the Winter Olympics. However, the ecological risks of the Winter Olympic events are difficult to assess quantitatively, being complex and often occurring over extended periods. This paper aims to provide one such approach, relative risk model (RRM), for quantitatively ecological risk assessment connected with human activities and the natural factors. It provides steps of the RRM and a case application of the method in Chongli District, one of host sites of the 24th Winter Olympics in February, 2022. We applied the RRM model to identify the potential stressors from the preparation activities of 2022 Winter Olympic Games. The risks of ecological impacts to assessment endpoints were calculated and ranked by quantitatively determining the interactions of the stressors and habitats as defined in the conceptual model. The critical sets of conclusions were drawn from the assessment. Firstly, the conceptual model of RRM was established including 11 threats, 6 habitats, and 4 ecological assessment endpoints across 6 sub-regions. The ranking criteria were defined by literature review, field investigation, and discussion with local stakeholders. Secondly, the risk assessment was conducted. The most significant stressor was traffic and road/highway construction, while the least threat was fire. The most vulnerable habitat was river course for benthic macroinvertebrates and fish, and the least vulnerable habitats were wetland and ski resort in Chongli. The most significantly affected endpoint was biodiversity, but the least one was recreation function. The highest risk zone was VI region in core area of the 2022 Winter Olympics. Thirdly, the uncertainties associated with both scales of assessment were considerable. The advantages and disadvantages of the RRM were discussed. Despite the uncertainties, the RRM was found to be a robust method for assessing and prioritizing the risks of multiple threats to multiple assets and a useful screening tool for decision-makers in prioritizing management actions. This risk assessment demonstrates the feasibility of using the RRM for assessing risks in a host site of 2022 Winter Olympic Games. The results suggested areas and stressors for restoration efforts in Chongli District, which are valuable for sustainable management of Winter Olympics and local development.

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贺桂珍,于名召.2022年冬奥会崇礼赛区多重压力下生态风险评价.生态学报,2023,43(17):7072~7082

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