Social impacts of occupational heat stress and adaptation strategies of workers: A narrative synthesis of the literature

Dimensions of risks and impacts of occupational heat stress due to climate change on workers\u27 health and safety, productivity, and social well-being are significantly deleterious. Aside from empirical evidence, no systematic review exists for policy development and decision making in managing occupation heat stress impacts and adaptation strategies of workers. This study sought to synthesise evidence on the social impacts of occupational heat stress and adaptation strategies of workers. From a review of existing literature, eight categories were obtained from 25 studies and grouped into three syntheses: (1) awareness of occupational heat stress, (2) social impacts of occupational heat stress and (3) workers\u27 adaptation to occupational heat stress due to changing climate. Awareness of occupational heat stress among workers varied and their social impacts were related to workers\u27 health and safety, productivity and social well-being. Sustainable adaptation to occupation heat stress due to climate change hinges on financial resource availability. Adequate investment and research are required to develop and implement policies to combat the threat of rising temperature and climate change to enhance workers\u27 adaptive capacity, boost resilience and foster sustainable development

Barriers to occupational heat stress risk adaptation of mining workers in Ghana

Increasing temperature and climate warming impacts are aggravating the vulnerability of workers to occupational heat stress. Adaptation and social protection strategies have become crucial to enhance workers’ health, safety, productive capacity and social lives. However, the effective implementation of work-related heat stress adaptation mechanisms appears to be receiving little attention. This study assessed the barriers to occupational heat stress adaptation and social protection strategies of mining workers in Ghana. Based on a mixed methods approach, focus group discussions and questionnaires were used to elicit data from 320 mining workers. Workers’ adaptation strategies (water intake, wearing loose and light-coloured clothing, participating in training programmes, taking regular breaks, use of mechanical equipment, use of cooling systems and housing designs) varied significantly across the type of mining activity (p \u3c .001). Workers’ social protection measures were adequate. The disparities in workers’ social protection measures significantly differed across the type of mining activity (p \u3c .001). Barriers of workers to the implementation of relevant adaptation strategies (inadequate knowledge of coping and adaptive behaviour, lack of regular training on adaptation measures, lack of specific heat-related policy regulations, lack of management commitment and the lack of access to innovative technology and equipment) also differed across the type of mining activity (p \u3c .001). Adaptation policy options and recommendations centred on overcoming the barriers that constrain the adaptive capacity of workers and employers have the potential to reduce workers’ vulnerability to occupational heat stress

The nexus between social impacts and adaptation strategies of workers to occupational heat stress: A conceptual framework

Adverse effects of occupational heat stress in the context of the changing climate on working populations are subtle but considerably harmful. However, social dimensions and impacts of climate change–related occupational heat concerns on workers’ safety and health, productivity and well-being are often overlooked or relegated as minor issues in social impact analyses of occupational heat exposure due to climate change. This paper offers a conceptual framework based on an appraisal and synthesis of the literature on social impacts of climate change–related occupational heat exposure on workers’ safety and health, productivity and social welfare and the quest to localise and achieve sustainable development goals. A sustained global, national, institutional and individual collaborative involvement and financial support for research, improved adaptation and social protection strategies, predominantly in the developing world, where a large number of people work outdoors, can reduce heat exposure and boost the resilience and adaptive capacity of workers to facilitate efforts to achieve sustainable development goals

Seasonal weather and climate prediction over area burned in grasslands of northeast China

© 2020, The Author(s). Grassland fire dynamics are subject to myriad climatic, biological, and anthropogenic drivers, thresholds, and feedbacks and therefore do not conform to assumptions of statistical stationarity. The presence of non-stationarity in time series data leads to ambiguous results that can misinform regional-level fire management strategies. This study employs non-stationarity in time series data among multiple variables and multiple intensities using dynamic simulations of autoregressive distributed lag models to elucidate key drivers of climate and ecological change on burned grasslands in Xilingol, China. We used unit root methods to select appropriate estimation methods for further analysis. Using the model estimations, we developed scenarios emulating the effects of instantaneous changes (i.e., shocks) of some significant variables on climate and ecological change. Changes in mean monthly wind speed and maximum temperature produce complex responses on area burned, directly, and through feedback relationships. Our framework addresses interactions among multiple drivers to explain fire and ecosystem responses in grasslands, and how these may be understood and prioritized in different empirical contexts needed to formulate effective fire management policies

Seasonal weather and climate prediction over area burned in grasslands of northeast China

Grassland fire dynamics are subject to myriad climatic, biological, and anthropogenic drivers, thresholds, and feedbacks and therefore do not conform to assumptions of statistical stationarity. The presence of non-stationarity in time series data leads to ambiguous results that can misinform regional-level fire management strategies. This study employs non-stationarity in time series data among multiple variables and multiple intensities using dynamic simulations of autoregressive distributed lag models to elucidate key drivers of climate and ecological change on burned grasslands in Xilingol, China. We used unit root methods to select appropriate estimation methods for further analysis. Using the model estimations, we developed scenarios emulating the effects of instantaneous changes (i.e., shocks) of some significant variables on climate and ecological change. Changes in mean monthly wind speed and maximum temperature produce complex responses on area burned, directly, and through feedback relationships. Our framework addresses interactions among multiple drivers to explain fire and ecosystem responses in grasslands, and how these may be understood and prioritized in different empirical contexts needed to formulate effective fire management policies.publishedVersio

Seasonal weather and climate prediction over area burned in grasslands of northeast China

Grassland fire dynamics are subject to myriad climatic, biological, and anthropogenic drivers, thresholds, and feedbacks and therefore do not conform to assumptions of statistical stationarity. The presence of non-stationarity in time series data leads to ambiguous results that can misinform regional-level fire management strategies. This study employs non-stationarity in time series data among multiple variables and multiple intensities using dynamic simulations of autoregressive distributed lag models to elucidate key drivers of climate and ecological change on burned grasslands in Xilingol, China. We used unit root methods to select appropriate estimation methods for further analysis. Using the model estimations, we developed scenarios emulating the effects of instantaneous changes (i.e., shocks) of some significant variables on climate and ecological change. Changes in mean monthly wind speed and maximum temperature produce complex responses on area burned, directly, and through feedback relationships. Our framework addresses interactions among multiple drivers to explain fire and ecosystem responses in grasslands, and how these may be understood and prioritized in different empirical contexts needed to formulate effective fire management policies

Facilitating adaptation of biodiversity to climate change: a conceptual framework applied to the world’s largest Mediterranean-climate woodland

The importance of ecological management for reducing the vulnerability of biodiversity to climate change is increasingly recognized, yet frameworks to facilitate a structured approach to climate adaptation management are lacking. We developed a conceptual framework that can guide identification of climate change impacts and adaptive management options in a given region or biome. The framework focuses on potential points of early climate change impact, and organizes these along two main axes. First, it recognizes that climate change can act at a range of ecological scales. Secondly, it emphasizes that outcomes are dependent on two potentially interacting and countervailing forces: (1) changes to environmental parameters and ecological processes brought about by climate change, and (2) responses of component systems as determined by attributes of resistance and resilience. Through this structure, the framework draws together a broad range of ecological concepts, with a novel emphasis on attributes of resistance and resilience that can temper the response of species, ecosystems and landscapes to climate change. We applied the framework to the world’s largest remaining Mediterranean-climate woodland, the ‘Great Western Woodlands’ of south-western Australia. In this relatively intact region, maintaining inherent resistance and resilience by preventing anthropogenic degradation is of highest priority and lowest risk. Limited, higher risk options such as fire management, protection of refugia and translocation of adaptive genes may be justifiable under more extreme change, hence our capacity to predict the extent of change strongly impinges on such management decisions. These conclusions may contrast with similar analyses in degraded landscapes, where natural integrity is already compromised, and existing investment in restoration may facilitate experimentation with higher risk options