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As a raw material for clean energy supply for the new generation, the soybean is conducive to the realization of global energy transition and sustainable development in the context of "carbon neutrality". However, global warming has been affecting soybean yields in recent years. How to clarify the correlation between meteorological factors and soybean yields, so as to ensure the security of soybean growth and development and the stability of renewable energy development, is a key concern of the government and academia. Based on the data of temperature, precipitation, sunshine duration and active accumulated temperature during the soybean growing season in Hulunbuir, Inner Mongolia Autonomous Region from 1951 to 2019, and soybean yield data of the city from 1985 to 2019, this paper adopted statistical methods such as the Trend Analysis Method, the Rescaled Range Analysis Method and so on to analyze the trends of yield changes, characteristics of abrupt changes and periodic patterns of climate factors and soybean yields in Hulunbuir. A Pearson Correlation Analysis and a Grey Relation Analysis were used to explore the correlation between climatic factors and soybean yields, followed by a comprehensive impact model of the combined effect of temperature and precipitation on soybean yields established by the Method of Integral Regression. The results showed that temperature and active accumulated temperature are the dominant factors affecting soybean yields in Hulunbuir, while the decrease in precipitation is unfavorable to the improvement of soybean yields. Meanwhile, temperature and precipitation have different effects on the growth and development of the soybean at different stages. The conclusion of this paper is of great practical significance for Hulunbuir to promote the sustainable development of clean energy. [ABSTRACT FROM AUTHOR]

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Context: As water demands continue to increase, the contradiction between water supply and demand is becoming increasingly severe, as is the case in Inner Mongolia's arid and semiarid areas. However, the relationship between water supply and demand in watersheds must be better understood. Therefore, it is crucial to clarify the relationship between the supply and demand of freshwater resources for the sustainable utilization of regional water resources. Objectives: Taking the Inner Mongolia Autonomous Region as the study area, this study analyzed the temporal and spatial relationships between water supply and demand in 2000, 2005, 2010, 2015 and 2018. Methods: The InVEST model and water resources bulletin were used to assess water resource supply and demand. The differences between the years were assessed using analysis of variance and the correlations applying Pearson correlation. Results: We observed a mismatch between the supply and demand of water resources. Water resources are in short supply in 44% of the watersheds, especially in the central and western regions. The difference in the spatial and temporal distribution of precipitation and increased human water demand were the main reasons for the contradiction between regional water supply and demand. Conclusions: This study provides corresponding water resource management measures for different watersheds. Proposed water resource management measures include water-saving irrigation practices, constructing water conservancy projects in the eastern region, ecological protection, and moderately developing water-saving agriculture in the western region. [ABSTRACT FROM AUTHOR]