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Event triggers and opinion leaders shape climate change discourse on Weibo
Understanding how real-world events and opinion leaders shape climate change discussions is vital for improving communication and policy formulation to meet global carbon mitigation goals. This study analyzed 5.3 million original posts from Weibo (2012–2022), China’s largest social media platform, to examine climate change discourse. We found five event types triggering 48 discussion peaks, including online activities, international conferences, extreme weather, domestic policies, and international news. Posts generally conveyed positive attitudes, though sentiment decreased during haze pollution and the COVID-19 pandemic. Network analysis revealed seven opinion leader groups with distinct strategies: official media and institutions emphasized political will, global initiatives, and socio-economic implications, while universities and grassroots individuals focused on scientific reality and personal actions. Celebrities and unofficial accounts often highlighted geopolitical topics, especially China-US relations. We suggest reducing fragmented echo chambers and fostering personal connections through digital media platforms to enhance public awareness.
Tracing inclusivity at UNFCCC conferences through side events and interest group dynamics
Inclusivity and transparency are the foundations of procedural justice in climate governance. However, concerns persist around the influence of business interest groups at United Nations Framework Convention on Climate Change (UNFCCC) Conferences of Parties (COPs). COPs have increased in size and complexity, obscuring agendas and organizational relationships. Here we analyse the discourse and networks of actors at COP side events from 2003 to 2023 using machine learning-based topic modelling and social network analysis. We trace how discussions on energy, food and forests have evolved. Focusing on energy topics, we show that fossil fuel lobbyists gain COP access through developed-country business non-governmental organizations (NGOs) and developing-country governments. Their nominators focus on renewable energy and system approaches but are peripheral in the anti-fossil fuel discourse which grew from a collaborative network of environmental NGOs. Despite data availability challenges, systematically tracing the inclusivity of COP processes can uncover power dynamics at the highest levels of climate governance.
Climate change threatens crop diversity at low latitudes
Climate change alters the climatic suitability of croplands, likely shifting the spatial distribution and diversity of global food crop production. Analyses of future potential food crop diversity have been limited to a small number of crops. Here we project geographical shifts in the climatic niches of 30 major food crops under 1.5–4 °C global warming and assess their impact on current crop production and potential food crop diversity across global croplands. We found that in low-latitude regions, 10–31% of current production would shift outside the climatic niche even under 2 °C global warming, increasing to 20–48% under 3 °C warming. Concurrently, potential food crop diversity would decline on 52% (+2 °C) and 56% (+3 °C) of global cropland. However, potential diversity would increase in mid to high latitudes, offering opportunities for climate change adaptation. These results highlight substantial latitudinal differences in the adaptation potential and vulnerability of the global food system under global warming.
Decarbonizing urban residential communities with green hydrogen systems
Community green hydrogen systems, typically consisting of rooftop photovoltaic panels paired with hybrid hydrogen-battery storage, offer urban environments with improved access to clean, on-site energy. However, economically viable pathways for deploying hydrogen storage within urban communities remain unclear. Here we develop a bottom-up energy model linking climate, human behavior and community characteristics to assess the impacts of pathways for deploying community green hydrogen systems in North America from 2030 to 2050. We show that for the same community conditions, the cost difference between the best and worst pathways can be as high as 60%. In particular, the household centralized option emerges as the preferred pathway for most communities. Furthermore, enhancing energy storage demands within these deployment pathways can reduce system design costs up to fourfold. To achieve cost-effective urban decarbonization, the study underscores the critical role of selecting the right deployment pathway and prioritizing the integration of increased energy storage in pathway designs.
Enhanced risk of hot extremes revealed by observation-constrained model projections
The increasing frequency of extreme hot events poses significant societal and scientific challenges due to their adverse impacts on human and natural systems, compounded by their unpredictable nature. Climate models are essential for investigating root causes and anticipating long-term changes, yet their accuracy is limited by inherent uncertainties and errors. While observational constraint theories offer promise in addressing model issues, they often rely on empirical region-specific relationships. Here, we show that future changes in hot extremes and their uneven spread critically depend on historical thermal distributions, with variability playing a key role. We develop a universal analytical approach that combines observations with model outcomes, aiming for more reliable projections. Results reveal that hot event probabilities may grow faster than models imply across much of the global land. In vulnerable regions, increases could exceed model predictions by nearly twofold, even at low global warming levels. These findings lay the groundwork for realistic risk assessments and emphasise the need for strengthened adaptation and mitigation efforts.
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