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Human attitudes in environmental management: Fuzzy Cognitive Maps and policy option simulations analysis for a coal-mine ecosystem in China

机译:环境管理中的人类态度:中国煤矿生态系统的模糊认知图和政策选择模拟分析

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Ecosystem management is a complex process, and every stakeholder's cognition plays a crucial role in it. In order to manage the ecosystem better, it is significant for the coal-mining environmental managers to choose appropriate measures, in accord with the stakeholders' interests. Hence, the purpose of this study is to assess knowledge of and attitudes towards coal-mine ecosystems among stakeholders and then simulate policy options in a typical coal-mine region in China. The Fuzzy Cognitive Mapping (FCM) method was used to develop a participatory ecosystem management model in research area. Combining the initial state of variables and the adjacency matrix getting from FCM, Artificial Neural Network (ANN) was used to conduct simulations. The results found that among stakeholder groups' FCM model, 'air pollution' and 'water pollution' are the most frequently mentioned variables, while 'health effects' and 'expansion of related industries' are the core variables. However, different stakeholders expressed diverse perceptions on coal-mine ecosystem management. Mine workers paid more attention to occupational safety and their health impacts inducted by air and water pollution during coal-mine process. Local residents were concerned with local economic development and welfare facilities improvement; they also concerned their health impacts raised by coal-mine related problems such as air and water pollution, traffic and noises. Managers emphasized economic interests and environmental projects with immediate environmental effects other than long-term ecosystem improvement. Engineers mentioned more variables than other groups; they believed that air pollution, water pollution, soil erosion and biodiversity loss were important. Scenario analysis for policy simulation based on ANN suggested that the local governments and enterprises should place an emphasis on protecting farmland, increasing vegetation coverage, reducing solid contamination and improving energy efficiency to decrease air pollution. In addition, they should start from decreasing air pollution, protecting water environment, increasing vegetation coverage and paying attention to people's safety to improve health. National policy, public administration and enterprise countermeasures have positive influence to ecosystem management. The findings of this study could provide valuable information to researchers and administrators about stakeholders' knowledge of and attitudes towards coal-mine ecosystem management. These, in turn, could be incorporated into the development of protective measures for a coal-mine ecosystem in China.
机译:生态系统管理是一个复杂的过程,每个利益相关者的认知都在其中扮演着至关重要的角色。为了更好地管理生态系统,煤矿环境管理者必须根据利益相关者的利益选择适当的措施。因此,本研究的目的是评估利益相关者对煤矿生态系统的了解和态度,然后模拟中国典型煤矿地区的政策选择。采用模糊认知映射(FCM)方法在研究区域建立了参与式生态系统管理模型。结合变量的初始状态和从FCM得到的邻接矩阵,使用人工神经网络(ANN)进行仿真。结果发现,在利益相关者群体的FCM模型中,“空气污染”和“水污染”是最常提及的变量,而“健康影响”和“相关行业的扩张”是核心变量。但是,不同的利益相关者对煤矿生态系统管理表达了不同的看法。煤矿工人更加关注煤矿开采过程中的职业安全以及空气和水污染对健康的影响。当地居民关心当地的经济发展和福利设施的改善;他们还关注与煤矿有关的问题(如空气和水的污染,交通和噪音)对健康的影响。管理人员强调了经济利益和环境项目,这些项目除了长期改善生态系统外,还具有直接的环境影响。工程师们提到的变量要比其他小组多。他们认为空气污染,水污染,土壤侵蚀和生物多样性丧失很重要。基于人工神经网络的政策模拟情景分析表明,地方政府和企业应重视保护耕地,增加植被覆盖,减少固体污染和提高能源效率以减少空气污染。此外,他们应该从减少空气污染,保护水环境,增加植被覆盖以及关注人们的安全以改善健康开始。国家政策,公共管理和企业对策对生态系统管理产生积极影响。这项研究的结果可以为研究人员和管理人员提供有关利益相关者对煤矿生态系统管理的知识和态度的有价值的信息。反过来,这些可以被纳入中国煤矿生态系统保护措施的开发中。

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