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Understanding the factors that regulate the functioning of our ecosystems in response to environmental changes can help to maintain the stable provisioning of ecosystem services to mankind. This is especially relevant given the increased variability of environmental conditions due to human activities. In particular, maintaining a stable production and plant biomass during the growing season (intra‐annual stability) despite pervasive and directional changes in temperature and precipitation through time can help to secure food supply to wild animals, livestock, and humans. Here, we conducted a 29‐year field observational study in a temperate grassland to explore how the intra‐annual stability of primary productivity is influenced by biotic and abiotic variables through time. We found that intra‐annual precipitation variability in the growing season indirectly influenced the community intra‐annual biomass stability by its negative effect on intra‐annual species asynchrony. While the intra‐annual temperature variability in the growing season indirectly altered community intra‐annual biomass stability through affecting the intra‐annual species richness. At the same time, although the intra‐annual biomass stability of the dominant species and the dominant functional group were insensitive to climate variability, they also promoted the stable community biomass to a certain extent. Our results indicate that ongoing intra‐annual climate variability affects community intra‐annual biomass stability in the temperate grassland, which has important theoretical significance for us to take active measures to deal with climate change. [ABSTRACT FROM AUTHOR]

As the climate change effects of traditional energy consumption are more pronounced, renewable energy has become increasingly essential in meeting electricity demands and mitigating carbon emissions. Based on the spatial autocorrelation analysis and carbon emission avoided analysis, this study depicts the photovoltaic power geographies, analyzes the spatial-temporal characteristics, and measures the carbon emission reduction potentials of China's photovoltaic power installation by province. Five stages of the photovoltaic power installation including Full operation, Partial operation, Announced construction , Permitted construction , and Under construction are classified. Overall, the provinces with higher installed capacities and emission reduction potentials are mainly distributed in the North and Northwest China, including Inner Mongolia, Qinghai, Ningxia, and Hebei. From the spatial autocorrelation analysis, Inner Mongolia, Shaanxi, and Shanxi belong to the high-high cluster, while most provinces in South China are among the low-low cluster. In terms of cumulative carbon emission reduction, Inner Mongolia, Gansu, Qinghai, Ningxia, Shaanxi, and Xinjiang are main contributors. By comparing the spatial and temporal evolution, geographical characteristics, and low-carbon reduction of photovoltaic power installation in China's provinces and regions, this study provides quantitative supports and feasible suggestions for the achievement of low-carbon targets and sustainable development of China's photovoltaic industry. [ABSTRACT FROM AUTHOR]