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   https://doi.org/10.1063/5.0039175  

   Reid, Korey M.; Yu, Xin; Leitner, David M. (February 2021, The Journal of Chemical Physics)
2. Change in US state-level public opinion about climate change: 2008–2020

   https://doi.org/10.1088/1748-9326/aca702  

   Marlon, Jennifer R; Wang, Xinran; Bergquist, Parrish; Howe, Peter D; Leiserowitz, Anthony; Maibach, Edward; Mildenberger, Matto; Rosenthal, Seth (December 2022, Environmental Research Letters)

   Abstract Public attitudes toward climate change influence climate and energy policies and guide individual mitigation and adaptation behaviors. Over the last decade, as scientific certainty about the causes and impacts of, and solutions to the climate crisis has increased, cities, states, and regions in the United States have pursued diverse policy strategies. Yet, our understanding of how Americans’ climate views are changing remains largely limited to national trends. Here we use a large US survey dataset ( N = 27 075 ) to estimate dynamic, state-level changes in 16 climate change beliefs, risk perceptions, and policy preferences over 13 years (2008–2020). We find increases in global warming issue importance and perceived harm in every state. Policy support, however, increased in more liberal states like California and New York, but remained stable elsewhere. Year-by-year estimates of state-level climate opinions can be used to support sub-national mitigation and adaptation efforts that depend on public support and engagement. 

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3. Quickest Change Detection in Statistically Periodic Processes with Unknown Post-Change Distribution

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4. Guiding change in higher education: an emergent, iterative application of Kotter’s change model

   https://doi.org/10.1080/03075079.2020.1741540  

   Kang, Sung Pil; Chen, Yan; Svihla, Vanessa; Gallup, Amber; Ferris, Kristen; Datye, Abhaya K. (January 2020, Studies in Higher Education)

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5. Ecological change in dynamic environments: Accounting for temporal environmental variability in studies of ocean change biology

   https://doi.org/10.1111/gcb.14868  

   Kroeker, Kristy_J; Bell, Lauren_E; Donham, Emily_M; Hoshijima, Umihiko; Lummis, Sarah; Toy, Jason_A; Willis‐Norton, Ellen (November 2019, Global Change Biology)

   Abstract The environmental conditions in the ocean have long been considered relatively more stable through time compared to the conditions on land. Advances in sensing technologies, however, are increasingly revealing substantial fluctuations in abiotic factors over ecologically and evolutionarily relevant timescales in the ocean, leading to a growing recognition of the dynamism of the marine environment as well as new questions about how this dynamism may influence species' vulnerability to global environmental change. In some instances, the diurnal or seasonal variability in major environmental change drivers, such as temperature, pH and seawater carbonate chemistry, and dissolved oxygen, can exceed the changes expected with continued anthropogenic global change. While ocean global change biologists have begun to experimentally test how variability in environmental conditions mediates species' responses to changes in the mean, the extensive literature on species' adaptations to temporal variability in their environment and the implications of this variability for their evolutionary responses has not been well integrated into the field. Here, we review the physiological mechanisms underlying species' responses to changes in temperature,pCO₂/pH (and other carbonate parameters), and dissolved oxygen, and discuss what is known about behavioral, plastic, and evolutionary strategies for dealing with variable environments. In addition, we discuss how exposure to variability may influence species' responses to changes in the mean conditions and highlight key research needs for ocean global change biology. 

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