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Biodiversity analysis underlies macroevolutionary studies and allows to identify mass extinctions. Numerous studies of mass extinctions show that geological factors play a central role in determining the diversity dynamics. The late Cretaceous extinction is of interest to science as the closest to us extinction of the five mass extinctions that occurred in the Phanerozoic. There is currently no scientific consensus on the scenario in which the extinction occurred on land. In order to assess the features of superorderDinosauriadevelopment during the Cretaceous-Paleogene, the authors have analysed the diversity of terrestrial taxa of Mesozoic dinosaurs. Based on data from the paleobiodb paleontological database using the Python programming language and its libraries, the features of the species diversity ofDinosauriahave been studied. An attempt was made to quantify the species diversity of this group based on the ratio of predators to herbivores using data on dinosaur food types. The simulated diversity data were compared with observed patterns and existing estimates. It is likely that less than one-third of the dinosaurs that existed are currently known, as indicated by the geography of the fossils, and the proportions of dinosaurs by type of diet.

Closed-loop supply chain networks are gaining research popularity due to environmental, economic and social concerns. Such networks are primarily designed to overcome carbon footprints and to retrieve end of life products from customers. This study considers a multi echelon closed-loop supply chain in the presence of machine disruption. A multi-objective model is presented to optimize the total cost, the total time and emissions in a closed-loop supply chain network. The aim is to analyze the trade-off between the objectives of cost, time, and emissions and how these decisions are impacted by the selection of different available machines. A number of solution approaches are tested on a case study from the tire industry. The results suggest the improved performance of the hybrid heuristic and the importance of controlling disruption in a closed-loop supply chain network. Furthermore, there is a trade-off between the different objective functions which can help the decision maker to choose a particular solution according to the preference of an organization. Finally, conclusion and future research avenues are provided.

Abstract Mitigating the effects of environmental deterioration requires a focus on not just CO2 emissions from energy consumption, but also environmental pollution from industry sectors. To reach this goal, recent studies have extended ecological footprint (EF) analysis to identify the ecological drivers of various key industry sectors. The role of the phosphorus (P) industry on the EF within the environmental Kuznets curve (EKC) framework for China is the emphasis of this study. Autoregressive distributive lag (ARDL) as well as the impulse response function and robustness analysis were used to consider a time from 1985 to 2018. The study verifies the EKC hypothesis for China in both the long and the short run, and indispensable determinants are proposed to be included to assure the model’s fitness and robustness when conducting EF analysis of industry sectors. Energy consumption–based carbon emissions have been verified as the dominant contributor to EF, but P use and urbanization have a significant lagged positive influence on EF in the short run. P exports, in particular, have been highlighted as a critical driver of the EF of China’s P industry. The conducted frequency domain causality test reinforced the above findings and demonstrated bidirectional causality at different frequencies. This work suggests that formulating plausible P export policies to alleviate the conflict between the output of China’s P industry and the environmental sustainability of this industry are necessary. In this context, “multidisciplinary, multidimensional, and practical solutions” are most desirable for sustainable P management.

The concept of the “Energy strategy of Russia for the period up to 2035” implies a comprehensive structural transformation of the energy sector and its transition to a qualitatively new level through the use of digital technologies. One of the first steps in building a model of the Internet of energy in Russia may be the introduction of a mechanism for creating industrial microgrids, for which a draft resolution of the government of the Russian Federation has already been developed. The article considers the features of functioning of a new subject of electric power industry - active energy complexes, their conceptual, economic and legal features, and also developed a method for evaluating the system effects of their implementation.

The purpose of the article is to study the dynamics of volumes and stability of the structure of energy resource consumption at manufacturing enterprises, the analysis of the technical readiness of energy systems to implement the ideas of digital transformation. As the main research methods used in this article there are the method of dipole energy analysis to determine the priority of types of energy carriers, the method of graphical visualization of data to find the release points of values from the zone of relative stability, the method of classifying objects to assign products to a group of objects on the level of energy sustainability. The article analyzes the current trends in energy consumption with the determination of the vector of sustainable energy consumption and the parameters of reserves for improving energy efficiency; prioritized separate types of energy production of petrochemical plants; the types of products were classified according to the level of sustainability of energy consumption with the establishment of control points having emissions of values from the zone of relative stability and unproductive consumption of energy resources; the high technical readiness of energy systems of manufacturing industries to automate production processes with the subsequent development of digital technologies has been proved.

At the present stage of the transition to sustainable development, when the share of a green economy in technologically advanced countries reaches one third of GDP, overcoming the structural crisis of the Russia is inseparable from reducing the technological gap and structural imbalances in the economy. These imbalances alienate Russia from ecologically and technologically advanced countries. Therefore, it is highly relevant to develop a methodology for assessing the structural convergence of the economy in the context of the transition to sustainable development, accompanied in developed countries by a new type of structural shift caused by the expansion of convergent technologies, the emergence of new principles of sectoral genesis and the formation of a green economy. The deepening of the divergent nature of Russian economy development was the result of a series of negative structural shifts that consolidated the dominance of extractive and resource-intensive industries, which threaten the final loss of technological identity, consolidation of the recessive trend and a lag in the transition to sustainable development. Therefore, today it is extremely important to formulate a methodology for assessing the structural convergence of Russian economy with technological and ecologically advanced countries, taking into account both quantitative and qualitative aspects.

The coal mining enterprise is a high-tech complex, which at the same time exerts all kinds of negative impact on the environment (emissions of pollutants into the air, wastewater discharges, production and consumer waste disposal). To improve environmental safety, it is necessary to study the local environmental and economic system and its main elements in order to improve managerial efficiency. The known approaches to the definition and the features of local environmental and economic system functioning are analyzed in the article. The directions for improving the efficiency of local eco-economic “industrial enterprise-environment” system management were developed on the basis of the synthesis of the study of theoretical developments of domestic and foreign researchers and the analysis of factual data. The work done is of practical importance for large industrial enterprises that exerts a diversified negative impact on the environment for preparing to the efficient sustainable managerial decisionmaking.

Abstract Climate change exacerbates existing threats and risks and generates new ones in the lives of the Indigenous people of the Arctic regions. The ability to cope with climate variability and extreme events is largely dependent on territorial adaptive capacities and vulnerabilities in addition to the level of regional economic development. The purpose of this article is to understand if the people living in Tiksi and its hinterland are aware of the impacts of climate change and attribute importance to them, as well as to determine if they have adaptation actions and strategies have been put in place. The future of Tiksi's population is uncertain and is highly dependent on the federal government. Issues relating to climate change are not a high priority for the local populations. Although the population of the Bulunsky district has maintained some capacity for adaptation, both uncertainty about the future and their dependence on decisions made at a higher level are undermining their ability to plan for adaptation in the long term.