Disaster governance and community resilience: reflections on Typhoon Morakot in Taiwan

Typhoon Morakot triggered flooding and mudslides in various areas and devastated Aboriginal villages located near areas under construction by the Water Diversion Project in Kaohsiung County. This paper examines the controversy surrounding Typhoon Morakot in Taiwan from the perspective of disaster governance. This study provides competing perspectives regarding who was responsible for causing the disaster. Post-disaster reconstruction initiatives by the government tend to adopt a technical approach to risk, and do not incorporate the complex social and cultural dimensions of vulnerability and sustainability. This perspective reflects misrecognition problems, and the lack of empowerment and participation in governance by residents, as well as their exclusion in decision making. Aboriginal civic groups have various methods of interacting with local residents to alleviate the suffering of survivors, promoting tribal culture and building resilient communities. This continuing development of social interactions and new forms of engagement will effectuate transformation and contribute to broader reflections on the Morakot disaster and social capability and building resilience.     

Citizens’ perceptions of trust relationships in the environmental management process in North Lebanon

This research investigates how trust plays a role in environmental management in North Lebanon, which has suffered repeated episodes of armed conflict in recent times. Previous studies have shown that environmental problems have increased and that the government has been unable to address these, even during periods of relative peace. We examined trust as a factor that contributes to, or hampers, environmental management. Our analysis drew on a survey in 2011 involving 499 citizens. The results demonstrated that, according to citizens, the lack of trust between citizens, and between citizens and the public sector, is a key factor obstructing effective environmental management. The results indicate the level of correlation between how trusting people are; how citizens participate; and how people perceive government legitimacy.     

基于森林碳汇经济价值中国宏观社会核算矩阵扩展

随着气候变化及温室效应等问题的广泛影响,森林的碳汇功能越来越受到人们的关注。社会核算矩阵作为可计算一般均衡模型的标准数据基础,为详细描述经济系统中各部门、各经济主体以及各市场之间的联系提供了一个理想的数据支持。本文在编制我国宏观2007年社会核算矩阵的基础上,将森林碳汇的经济价值纳入到其中,对我国宏观社会核算矩阵进行扩展,扩展后的社会核算矩阵可用于森林碳汇的经济效益分析以及为建立森林碳汇的CGE模型提供数据基础。     

Drivers of support for citizen science across state wildlife management agencies in the United States

Citizen science (CS) is gaining recognition as a valuable approach to meet data needs for environmental projects while fostering collaboration between scientists and members of the public. Despite increasing implementation of CS by natural resource entities, organizations’ motivations for engaging in CS remain poorly understood. We examined the utility of the theory of planned behavior (TPB) and social exchange theory (SET) in identifying factors influencing support of CS by scientific organizations. To test predictions of the TPB and SET theories, we surveyed (quantitative, web based) state wildlife agency staff in the United States on their perceptions of organizational engagement in CS. We divided questions that measured TPB items into individual and organizational components to address the influence of personal- and organization-level decision-making on staff perceptions and attitudes. We used structural equation modeling to identify key constructs that influence staff support of CS in state wildlife agencies. The survey yielded 627 responses across 44 states. Both TPB and SET constructs accurately predicted staff support of CS; however, measures from SET (e.g., public engagement benefits and costs of CS to scientific credibility) were most influential (i.e., TPB constructs had less impact). Our findings indicate that organizational support for CS is primarily influenced by assessment of trade-offs among perceived costs and benefits. Indicators of support for CS were further elucidated by including measures from the TPB model. Based on our results, we suggest that natural resource entities give careful consideration to CS project design, develop thorough communication and data management plans, and practice iterative evaluation of CS project productivity.     

Reliability of social media data in monitoring the global pet trade in ants

The global pet trade is a major risk to biodiversity and humans and has become increasingly globalized, diversified, digitalized, and extremely difficult to control. With billions of internet users posting online daily, social media could be a powerful surveillance tool. But it is unknown how reliably social media can track the global pet trade. We tested whether Instagram data predicted the geographic distribution of pet stores and the taxonomic composition of traded species in the emerging pet trade in ants (Hymenoptera, Formicidae). We visited 138 online stores selling ants as pets worldwide and recorded the species traded. We scraped ∼38,000 Instagram posts from ∼6300 users referencing ants as pets and analyzed comments on post and geolocation (available for ∼1800 users). We tested whether the number of Instagram users predicted the number of ant sellers per country and whether the species referenced as pets on Instagram matched the species offered in online stores, with a particular focus on invasive species. The location of Instagram users referencing ants as pets predicted the location of ant sellers across the globe (R² = 0.87). Instagram data detected 439 of the 631 ant species traded in online stores (70%), including 59 of the 68 invasive species traded (87%). The number of Instagram users referencing a species was a good predictor of the number of sellers offering the species (R² = 0.77). Overall, Instagram data provided affordable and reliable data for monitoring the emerging pet trade in ants. Easier access to these data would facilitate monitoring of the global pet trade and help implement relevant regulations in a timely manner.     

露天矿区突发地质灾害公众应急安全疏散行为研究——以抚顺西露天矿区为例

为探究露天矿区突发地质灾害公众应急安全疏散行为影响因素,基于社会认知理论视角,引入中介变量个人规范,将应急安全疏散行为划分为应急安全疏散遵守行为和参与行为,构建露天矿区突发地质灾害公众应急安全疏散行为影响因素理论模型,并以抚顺西露天矿区周边居民为调查对象,依据272份有效样本进行结构方程实证检验.结果表明:露天矿区突发...     

Minimization of socioeconomic disruption for displaced populations following disasters

In the aftermath of catastrophic natural disasters such as hurricanes, tsunamis and earthquakes, emergency management agencies come under intense pressure to provide temporary housing to address the large‐scale displacement of the vulnerable population. Temporary housing is essential to enable displaced families to reestablish their normal daily activities until permanent housing solutions can be provided. Temporary housing decisions, however, have often been criticized for their failure to fulfil the socioeconomic needs of the displaced families within acceptable budgets. This paper presents the development of (1) socioeconomic disruption metrics that are capable of quantifying the socioeconomic impacts of temporary housing decisions on displaced populations; and (2) a robust multi‐objective optimization model for temporary housing that is capable of simultaneously minimizing socioeconomic disruptions and public expenditures in an effective and efficient manner. A large‐scale application example is optimized to illustrate the use of the model and demonstrate its capabilities ingenerating optimal plans for realistic temporary housing problems.     

Gauging the societal impacts of natural disasters using a capability approach

There is a widely acknowledged need for a single composite index that provides a comprehensive picture of the societal impact of disasters. A composite index combines and logically organizes important information policy‐makers need to allocate resources for the recovery from natural disasters; it can also inform hazard mitigation strategies. This paper develops a Disaster Impact Index (DII) to gauge the societal impact of disasters on the basis of the changes in individuals’ capabilities. The DII can be interpreted as the disaster impact per capita. Capabilities are dimensions of individual well‐being and refer to the genuine opportunities individuals have to achieve valuable states and activities (such as being adequately nourished or being mobile). After discussing the steps required to construct the DII, this article computes and compares the DIIs for two earthquakes of similar magnitude in two societies at different levels of development and of two disasters (earthquake and wind storm) in the same society.     

Resetting relationship trajectories: A reconceptualization of the relationship repair process

Negative events within and outside of work can disrupt coworkers' relationships, triggering a re-evaluation of relationship quality. The subjective experience of these events – which we term relationship threats – harms relationships, resulting in long-lasting negative interpersonal and organizational consequences. Coworkers' responses to a relationship threat determine whether relationships are repaired or whether the threat leads to a loss of commitment, lowered satisfaction, and increased negative affect. Because of the critical role that relationships play in organizational life, it is vital that we have a comprehensive understanding of the repair process. To date, researchers have focused on one of three repair processes: trust repair. In reconceptualizing relationship repair, we flesh out the remaining two processes: relationship work and sensemaking. Our reconceptualization balances the restorative actions that mitigate in-the-moment harm with those that sustain these benefits over time. We expand our understanding of relationship repair by highlighting the role that narrative foundations play in determining a relationships' vulnerabilities and determining effective repair processes. We highlight the importance of considering relationship threats as events embedded within a relationship's history; identify narrative foundations as a bridging mechanism between disrupted relationships and their repair; and expand our conceptualization of the processes that repair relationships.     

Fisher判别法在煤与瓦斯突出危险程度预测中的应用

为了提高煤与瓦斯突出的预测精度,根据煤与瓦斯突出的综合作用假说,选取开采深度、瓦斯压力、瓦斯放散初速度、煤的普氏系数以及煤体破坏类型作为判别指标。利用国内典型突出矿井20个实测数据作为训练样本,建立煤与瓦斯突出危险程度预测的Fisher判别分析模型,并应用于其他待判样本的预测。结果表明:Fisher判别分析模型能够反映多因素对煤与瓦斯突出的影响,分类性能良好,误判率低,借助SPSS软件实现,具有计算简单的特点,是煤与瓦斯突出预测的一种有效方法。