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Warming is shifting temperate zones to become more tropical. Natural warming and CO2 vent sites show that acidification buffers warming effects, reducing sea urchin numbers and grazing, thus creating a turf-dominated temperate habitat that is less hospitable to tropical fish than urchin barrens.
Increases in daily temperature variability could reduce economic growth. Analysis of 40 years of subnational economic data and daily temperature observations from across the world shows that higher temperature variability reduces annual income, with greatest vulnerability in low-latitude regions.
Aerosol–climate interactions are important in the Arctic, but they exhibit large spatiotemporal variability. This Perspective argues for community-driven model and observational improvement, emphasizing the need to understand natural aerosol processes and quantify how their baseline is changing.
Assessing future climate-related financial risk requires knowledge of how the climate will change at various spatial and temporal scales. This Perspective examines the demand for climate information from business and finance communities, and the extent to which climate models can meet these demands.
For its green transition, the EU plans to fund the development of digital twins of Earth. For these twins to be more than big data atlases, they must create a qualitatively new Earth system simulation and observation capability using a methodological framework responsible for exceptional advances in numerical weather prediction.
The authors use systematic monitoring across the former USSR to investigate phenological changes across taxa. The long-term mean temperature of a site emerged as a strong predictor of phenological change, with further imprints of trophic level, event timing, site, year and biotic interactions.
Climate policy calls for energy demand reduction on top of decarbonizing energy generation. Analysis of historical energy–income data shows that achieving these climate targets alongside economic development poses unresolved policy and modelling challenges, especially for developing countries.
Forest management for climate mitigation plans requires accurate data on carbon fluxes to monitor policy impacts. Between 2001 and 2019, forests were a net sink of carbon globally, although emissions from disturbances highlight the need to reduce deforestation in tropical countries.
The combination of highly resolved climatic and genomic data allows assessment of putative maladaptation of populations to climate change and can identify high-risk populations. Now, a study that accounts for migration and dispersal shows high maladaptation of a North American tree species in the northern and eastern distribution range.
Ambitious policy instruments are needed to support the transition to low-carbon economies. This systematic review identifies what we know about positive and negative impacts of ten selected instruments on environmental, technological and socioeconomic outcomes, and how to minimize negative impacts.
Quantifying the temperature impacts of anthropogenic emissions helps monitor proximity to the Paris Agreement goals. Human activities warmed global mean temperature during the past decade by 0.9 to 1.3 °C above 1850–1900 values, with 1.2 to 1.9 °C from greenhouse gases and −0.7 to −0.1 °C from aerosols.
The intertropical convergence zone is predicted to narrow under climate change with large uncertainties about its location. Analysis with CMIP6 models shows a zonally varying response, with northward shift over east Africa and the Indian Ocean and southward shift in east Pacific and Atlantic oceans.
The authors use a subset of climate-associated genetic loci to predict future climate maladaptation for balsam poplar (Populus balsamifera) populations while also considering migration potential. They predict the greatest disruptions along the longitudinal edge of the species range.
Genomics and environmental modelling are integrated to assess past and future changes in Arctic charr populations in response to changing climate. Southern population vulnerability suggests climate change may lead to northward shifts and the loss of important life-history variation.
The Arctic Oscillation and North Atlantic Oscillation are modes of Northern Hemisphere climate variability with high temporal and spatial correlation. With strong warming, climate models suggest their link breaks down due to a divergent response to the Pacific and Atlantic oceans and stratosphere.