2027 2
2006 7
2007 48
2008 399
2018 410
2010 413
2011 438
2009 477
2026 566
2019 578
2012 728
2016 766
2017 844
2015 885
2013 888
2020 898
2014 903
2021 944
2022 967
2023 1164
2024 5098
2025 31350
共计52715条记录
  • Report The Panel agreed on the outline of the 2027 IPCC Methodology Report on Carbon Dioxide Removal Technologies, Carbon Capture, Utilization, and Storage for National Greenhouse Gas Inventories (Additional guidance) at its 63rd Session held in Lima, Peru from 27-30 October 2025 (Decision IPCC-LXIII-6). The report will be a single Methodology Report comprising an Overview Chapter and six volumes consistent with the format of the 2006 IPCC Guidelines for National Greenhouse Gas Inventories. The structure of the Methodology Report is consistent with the 2006 IPCC Guidelines so as to make it easier for inventory compilers to use this Methodology Report with the 2006 IPCC Guidelines. Topics that will be addressed include: Transport, injection and sequestering of CO2 in relation to enhanced oil, gas, and coal-bed methane recovery Production of products containing or derived from captured and/or removed CO2 Carbonation of cement and lime-based structures Soil carbon sinks and related emissions enhanced through biochar and weathering and other elements Coastal wetlands carbon dioxide removal types not in previous IPCC Guidelines as well as additional information on mangroves, tidal marshes and seagrass in coastal waters Durable biomass products Carbon dioxide capture from combustion and process gases Direct air capture Carbon dioxide utilisation Carbon dioxide transport including cross border issues Carbon dioxide injection and storage CO2 removal through direct capture of CO2 from water already processed by inland and coastal facilities; and related elements across the range of categories of the IPCC Guidelines. The national greenhouse gas inventory includes sources and sinks occurring within the territory over which a country has jurisdiction. Over 150 experts are expected to participate in the writing process, which will be completed by 2027. The participants will be selected by the Task Force Bureau taking into account scientific and technical expertise, geographical and gender balance to the extent possible in line with Appendix A to the Principles Governing IPCC Work. The First Lead Authors’ meeting will be held in Rome, Italy, in April 2026. Preparatory Work The decision by the Panel to prepare this Methodology Report was informed by the work of experts at the scoping meeting held in Copenhagen, Denmark, from 14-16 October 2024. Prior to the scoping meeting, an expert meeting was held at Vienna, Austria 1-3 July 2024. These meetings considered Carbon Dioxide Removal (CDR) methods mentioned in the AR6 WGIII Report as a starting point for discussion and noted that several CDR activities have been already covered by the existing IPCC Guidelines. More Information The IPCC Secretary has written to national government focal points inviting nominations of authors by 12 December 2025.

    2027-12-01 |
  • Fast Facts Medicaid programs that cover prescription drugs are generally required to cover drugs that are (1) FDA approved and (2) made by a manufacturer that participates in the Medicaid Drug Rebate Program. 13 Medicaid programs didn’t cover Mifeprex and its generic equivalent, Mifepristone Tablets, 200 mg, when required. These drugs are used for medical abortion. We recommended the Centers for Medicare & Medicaid Services ensure Medicaid programs comply with federal requirements for covering Mifepristone Tablets, 200 mg. We also reiterated our 2019 recommendation on Mifeprex, which hasn’t been implemented. White pills spilling from a pill bottle. Skip to Highlights Highlights What GAO Found Medicaid programs that choose to cover outpatient prescription drugs are required to cover all Food and Drug Administration (FDA) approved drugs for their medically accepted indications when those drugs are made by a manufacturer that participates in the Medicaid Drug Rebate Program (MDRP), except as outlined in federal law. The FDA has approved two drugs—Mifeprex in 2000 and its generic equivalent in 2019, referred to as Mifepristone Tablets, 200 mg—for the medical termination of an intrauterine pregnancy, known as a medical abortion. Danco Laboratories and GenBioPro are the exclusive manufacturers of Mifeprex and Mifepristone Tablets, 200 mg, respectively, and both manufacturers participate in the MDRP. Medicaid programs in all 50 states, the District of Columbia, and Puerto Rico cover prescription drugs and participate in the MDRP. According to officials from the Centers for Medicare & Medicaid Services (CMS)—the federal agency within the Department of Health and Human Services (HHS) responsible for ensuring Medicaid programs’ compliance—none of the MDRP’s statutory exceptions apply to Mifeprex or Mifepristone Tablets, 200 mg. Thus, these 52 Medicaid programs must cover these drugs when prescribed for medical abortion in circumstances eligible for federal funding, such as when the pregnancy is the result of rape or incest. GAO identified gaps in Medicaid programs’ coverage of Mifeprex and Mifepristone Tablets, 200 mg. Officials from 35 of the 49 programs who responded to GAO questions said their programs covered Mifeprex and Mifepristone Tablets, 200 mg for medical abortion, as of December 31, 2024. In contrast, officials from 13 programs told GAO their programs did not cover either drug for medical abortion. An official from the remaining program did not specify the medical indications for which its program covered the drugs. Medicaid Programs’ Coverage of Danco Laboratories’ Mifeprex and GenBioPro’s Mifepristone Tablets, 200 mg, as of December 31, 2024 Note: For more details, see fig. 1 in GAO-25-107911. State officials’ responses to GAO’s questions indicated that some states may not be complying with the MDRP requirements for covering Mifeprex and Mifepristone Tablets, 200 mg. However, CMS has not determined the extent to which states comply with the MDRP requirements for these drugs. CMS officials told GAO they were not aware of the following: Nine programs did not cover Mifeprex and Mifepristone Tablets, 200 mg for any medical indication, as of December 31, 2024; GAO reported four of these programs did not cover Mifeprex in 2019. Mifepristone Tablets, 200 mg was not available at the time of GAO’s 2019 report. Four additional Medicaid programs did not cover either drug when prescribed for medical abortion, as of December 31, 2024. CMS was not aware of these coverage gaps, in part, because it had not implemented GAO’s 2019 recommendation to take actions to ensure Medicaid programs comply with MDRP requirements to cover Mifeprex. CMS also has not taken actions related to the coverage of Mifepristone Tablets, 200 mg, as of August 2025. Without such actions, CMS lacks assurance that Medicaid programs comply with MDRP requirements and Medicaid beneficiaries may lack access to these drugs when appropriate. Why GAO Did This Study GAO was asked to describe Medicaid programs’ coverage of mifepristone. This report examines Medicaid programs’ coverage of Mifeprex and Mifepristone Tablets, 200 mg, among other things. GAO reviewed laws and CMS guidance on the MDRP, and coverage of Mifeprex and Mifepristone Tablets, 200 mg. GAO also sent written questions to officials from the 52 Medicaid programs that participate in the MDRP regarding their coverage of these drugs, and reviewed officials’ responses from the 49 programs that provided GAO information. Recommendations GAO reiterates its 2019 recommendation that CMS take actions to ensure states’ compliance with MDRP requirements to cover Mifeprex. GAO also recommends that CMS determine the extent to which states comply with federal Medicaid requirements regarding coverage of GenBioPro’s Mifepristone Tablets, 200 mg, and take actions, as appropriate, to ensure compliance. In response to the recommendation, HHS noted it is reviewing applicable law and will determine the best course of action to address it moving forward. Recommendations for Executive Action Agency Affected Recommendation Status Centers for Medicare & Medicaid Services The Administrator of CMS should determine the extent to which states comply with federal Medicaid requirements regarding coverage of GenBioPro's Mifepristone Tablets, 200 mg, and take actions, as appropriate, to ensure compliance. (Recommendation 1) Open Actions to satisfy the intent of the recommendation have not been taken or are being planned. When we confirm what actions the agency has taken in response to this recommendation, we will provide updated information. Full Report Full Report (11 pages)

  • 05.12.2025 – The European Scientific Advisory Board on Climate Change, established under the European Climate Law, will continue to be supported in its second term (2026-2030) by Ottmar Edenhofer. The Director of the Potsdam Institute for Climate Impact Research (PIK) has now been appointed by the Management Board of the European Environment Agency in Copenhagen for another four-year term on the Advisory Board, beginning on 24 March 2026. Advising EU policymakers on the path to the declared goal of climate neutrality: PIK Director Ottmar Edenhofer. Photo: PIK/Karkow The Advisory Board gives independent advice and produces reports on EU policies, and their coherence with the Climate Law and the EU’s commitments under the Paris Agreement. It consists of 15 high-level scientific experts covering a wide range of relevant fields. Edenhofer is serving as the Advisory Board’s current Chair during its first term (2022-2026). Highlights during this period have included scientific recommendations for an ambitious EU climate target for 2040, an analysis of the action needed to achieve climate neutrality, and a study on scaling up atmospheric carbon removals. “I am very thankful for the great opportunity to continue supporting EU climate policy in this service role for the next four years,” says Edenhofer, who is also Professor for The Economics and Politics of Climate Change at the Technische Universität Berlin. “The European Union has taken some important steps in recent years towards its declared goal of climate neutrality by 2050. It remains important to make climate policy cost-effective, socially balanced and consistent with the requirements of an internationally competitive economy. As a member of the Advisory Board, I will do my best to provide scientific advice to policymakers on this task.” The composition of the Advisory Board for the next four-year term has now been decided through an open, fair and transparent selection process lasting several months. The decision on who will chair the body in future is not expected until beginning of the second term. The other members of the Advisory Board in the second term are: • Annela Anger-Kraavi – University of Cambridge • Constantinos Cartalis – National and Kapodistrian University of Athens • Suraje Dessai – University of Leeds’ School of Earth, Environment, and Sustainability • Laura Díaz Anadón – University of Cambridge • Vera Eory – Scotland’s Rural College • Lena Kitzing - Technical University of Denmark • Kati Kulovesi – University of Eastern Finland • Lars J. Nilsson – Lund University • Åsa Persson – KTH Royal Institute of Technology’s Climate Action Centre • Keywan Riahi – International Institute for Applied Systems Analysis • Jean-François Soussana – French National Research Institute for Agriculture, Food and the Environment • Giorgio Vacchiano – University of Milan • Detlef van Vuuren – PBL Netherlands Environmental Assessment Agency • Zinta Zommers – University of Toronto

    2026-03-24 |
  • Release Date: January 8, 2026 RED BLUFF, Calif. – The Federal Emergency Management Agency (FEMA) has delivered preliminary flood maps for Tehama County and the City of Red Bluff, California. The maps identify revised flood hazards along seven streams throughout Tehama County. The new maps will help building officials, contractors, and homeowners make effective mitigation decisions, thereby contributing to safer and more disaster resilient communities. Before the new Flood Insurance Rate Maps (FIRMs) become effective, there is a 90-day appeal period from January 22, 2026 to April 22, 2026. During that time, residents or businesses with supporting technical and scientific information, such as detailed hydraulic or hydrologic data, can appeal the flood risk information on the preliminary maps, which can be viewed at hazards.fema.gov/femaportal/prelimdownload/. Flood hazards are dynamic and change frequently for many reasons, including weather patterns, erosion, and community development. Officials from FEMA and Tehama County worked together to provide updated information that accurately reflects the flood risk. These changes may also affect future building standards or insurance requirements. The local mapping project is part of a national effort led by FEMA to increase local knowledge of flood risks and support actions to address and reduce the effects of flooding on new and improved structures. FEMA encourages residents to review the preliminary flood maps to learn about local flood risks, potential future flood insurance requirements, and identify any concerns or questions about the information provided. Risk of flooding affects almost every corner of the nation. In total, 98% of counties have experienced a flood event, which makes floods the most common and widespread of all weather-related natural disasters. For more information, contact Patrick Ewald at the Tehama County Building Department at (530) 527-7002 or pewald@tehama.gov. ### FEMA’s mission is helping people before, during, and after disasters. Follow FEMA Region 9 online at x/femaregion9. Download Press Release PDF Accessible TXT Tags: Region 9 California Flood Maps

    2026-01-08 |
  • Abstract Paleoenvironmental reconstructions in southern Africa have often relied on isolated or fragmentary records, limiting our understanding of ecosystem dynamics during the Middle Stone Age (c. 300–40 ka). Here, we reassess vegetation and climate change between Marine Isotope Stages (MIS) 5 and 3 using high-resolution pollen records from two deep-sea cores—MD96-2048 (eastern margin) and MD96-2098 (western margin)—and contextualize these data with other marine (MD20-3592; 3CD154-17-17K) and terrestrial records. The pollen sequences reveal coherent, regionally synchronous trends: glacial periods were cooler and wetter, reflected in the expansion of Fynbos and Afromontane Forest, while interglacials were drier, marked by forest retreat and Nama-Karoo spread. In contrast to terrestrial records, which often reflect localized and inconsistent patterns due to taphonomic and ecological factors, these offshore archives provide a robust sub-continental signal. Comparisons with archaeological data suggest that the Still Bay (SB) technocomplex emerged near the MIS 5a/4 transition, during a humid phase of elevated environmental productivity. The Howiesons Poort (HP) technocomplex appeared slightly later ( ~ 68–64 ka), under conditions of climatic instability and ecological fragmentation. These contrasting ecological backdrops imply that cultural change was not driven by climate alone, but by complex interactions between environmental variability, technological innovation, and population connectivity. Data availability Supplementary data cited in this work are freely available at the following link: https://doi.org/10.6084/m9.figshare.30436759. Data on the Howiesons Poort and Still Bay chronologies provided in Supplementary Data 1 can also be accessed directly from the original publication: https://doi.org/10.1038/s41586-025-09154-0. References Blinkhorn, J. et al. Evaluating refugia in recent human evolution in Africa. Phil. Trans. R. Soc. B. 377, 20200485 (2022). Google Scholar Scerri, E. M. et al. Did our species evolve in subdivided populations across Africa, and why does it matter?. Trends Ecol Evol 33, 582–594 (2018). Google Scholar Scerri, E. M., Chikhi, L. & Thomas, M. G. Beyond multiregional and simple out-of-Africa models of human evolution. Nat. Ecol. Evol. 3, 1370–1372 (2019). Google Scholar Bergström, A., Stringer, C., Hajdinjak, M., Scerri, E. M. & Skoglund, P. Origins of modern human ancestry. Nature 590, 229–237 (2021). Google Scholar Hublin, J. J. et al. New fossils from Jebel Irhoud, Morocco and the pan-African origin of Homo sapiens. Nature 546, 289–292 (2017). Google Scholar Stringer, C. The origin and evolution of Homo sapiens. Phil. Trans. R. Soc. B. 371, 20150237 (2016). Google Scholar Groucutt, H. S. et al. Rethinking the dispersal of Homo sapiens out of Africa. Evol. Anthropol. Issues. News. Rev 24, 149–164 (2015). Google Scholar d’Errico, F. & Banks, W. E. Identifying mechanisms behind middle paleolithic and middle stone age cultural trajectories. Curr. Anthropol. 54, S371–S387 (2013). Google Scholar Scerri, E. M. & Will, M. The revolution that still isn’t: The origins of behavioral complexity in Homo sapiens. JHE 179, 103358 (2023). Google Scholar Vrba, E. S., Denton, G. H., Partridge, T. C. & Burckle, L. H. (Eds.). Paleoclimate and evolution, with emphasis on human origins. (Yale University Press, 1995). Gasse, F., Chalié, F., Vincens, A., Williams, M. A. & Williamson, D. Climatic patterns in equatorial and southern Africa from 30,000 to 10,000 years ago reconstructed from terrestrial and near-shore proxy data. Quat. Sci. Revs 27, 2316–2340 (2008). Google Scholar Burrough, S. L. & Thomas, D. S. Central southern Africa at the time of the African Humid Period: a new analysis of Holocene palaeoenvironmental and palaeoclimate data. Quat. Sci. Revs 80, 29–46 (2013). Google Scholar Stuut, J. B. W., Crosta, X., Van der Borg, K. & Schneider, R. Relationship between Antarctic sea ice and southwest African climate during the late Quaternary. Geology 32, 909–912 (2004). Google Scholar Shi, N., Schneider, R., Beug, H. J. & Dupont, L. M. Southeast trade wind variations during the last 135 kyr: evidence from pollen spectra in eastern South Atlantic sediments. EPSL 187, 311–321 (2001). Google Scholar Chase, B. M. South African palaeoenvironments during marine oxygen isotope stage 4: a context for the Howiesons Poort and Still Bay industries. J. Archaeol. Sci 37, 1359–1366 (2010). Google Scholar Lee-Thorp, J. A. & Beaumont, P. B. Vegetation and seasonality shifts during the late Quaternary deduced from 13C/12C ratios of grazers at Equus Cave, South Africa. Quat. Res. 43, 426–432 (1995). Google Scholar Partridge, T. C., Demenocal, P. B., Lorentz, S. A., Paiker, M. J. & Vogel, J. C. (1997). Orbital forcing of climate over South Africa: a 200,000-year rainfall record from the Pretoria Saltpan. Quat. Sci. Revs. 16, 1125–1133 (1997). Google Scholar Scott, L. et al. Terrestrial fossil-pollen evidence of climate change during the last 26 thousand years in Southern Africa. Quat. Sci. Revs. 32, 100–118 (2012). Google Scholar Norström, E. et al. Late Quaternary vegetation dynamics and hydro-climate in the Drakensberg, South Africa. Quat. Sci. Revs. 105, 48–65 (2014). Google Scholar Stone, A. E. Last Glacial Maximum conditions in southern Africa: Are we any closer to understanding the climate of this time period?. Prog. Phys. Geogr. 38, 519–542 (2014). Google Scholar Chase, B. M. & Meadows, M. E. Late Quaternary dynamics of southern Africa’s winter rainfall zone. Earth-Sci. Rev. 84, 103–138 (2007). Google Scholar Chevalier, M. & Chase, B. M. Southeast African records reveal a coherent shift from high-to low-latitude forcing mechanisms along the east African margin across last glacial–interglacial transition. Quat. Sci. Revs 125, 117–130 (2015). Google Scholar Reynard, J. P. Paradise lost: large mammal remains as a proxy for environmental change from MIS 6 to the Holocene in southern Africa. SAJG 124, 1055–1072 (2021). Google Scholar Dupont, L. M. et al. Glacial-interglacial vegetation dynamics in South Eastern Africa coupled to sea surface temperature variations in the Western Indian Ocean. Clim. Past. 7, 1209–1224 (2011). Google Scholar Scott, L. & Neumann, F. H. Pollen-interpreted palaeoenvironments associated with the Middle and Late Pleistocene peopling of Southern Africa. Quat. Int 495, 169–184 (2018). Google Scholar Meadows, M. E., Chase, B. M. & Seliane, M. Holocene palaeoenvironments of the Cederberg and Swartruggens mountains, Western Cape, South Africa: pollen and stable isotope evidence from hyrax dung middens. J. Arid Environ. 74, 786–793 (2010). Google Scholar Dupont, L. & Behling, H. Land–sea linkages during deglaciation: High-resolution records from the eastern Atlantic off the coast of Namibia and Angola (ODP site 1078). Quat. Int 148, 19–28 (2006). Google Scholar Hooghiemstra, H., Stalling, H., Agwu, C. O. & Dupont, L. M. Vegetational and climatic changes at the northern fringe of the Sahara 250,000–5000 years BP: evidence from 4 marine pollen records located between Portugal and the Canary Islands. Rev. Palaeobot. Palynol 74, 1–53 (1992). Google Scholar Leroy, S. & Dupont, L. Development of vegetation and continental aridity in northwestern Africa during the Late Pliocene: the pollen record of ODP Site 658. Palaeogeogr. Palaeoclimatol. Palaeoecol. 109, 295–316 (1994). Google Scholar Lézine, A. M. & Hooghiemstra, H. Land-sea comparisons during the last glacial-interglacial transition: pollen records from West Tropical Africa. Palaeogeogr. Palaeoclimatol. Palaeoecol. 79, 313–331 (1990). Google Scholar Ziegler, M. et al. Development of Middle Stone Age innovation linked to rapid climate change. Nat. Commun. 4, 1905 (2013). Google Scholar Göktürk, O. M. et al. Behaviourally modern humans in coastal southern Africa experienced an increasingly continental climate during the transition from Marine Isotope Stage 5 to 4. Front. Earth. Sci. 11, 1198068 (2023). Google Scholar Dupont, L. M., Zhao, X., Charles, C., Faith, J. T. & Braun, D. Continuous vegetation record of the Greater Cape Floristic Region (South Africa) covering the past 300 000 years (IODP U1479). Clim. Past. 18, 1–21 (2022). Google Scholar Purcell, K. et al. Climate variability off Africa’s southern Cape over the past 260, 000 years. Preprint at https://doi.org/10.5194/egusphere-2024-2499 (2024). Castañeda, I. S. et al. Wet phases in the Sahara/Sahel region and human migration patterns in North Africa. PNAS 106, 20159–20163 (2009). Google Scholar Johnson, T. C. et al. A high-resolution paleoclimate record spanning the past 25,000 years in southern East Africa. Science 296, 113–132 (2002). Google Scholar Schefuß, E., Kuhlmann, H., Mollenhauer, G., Prange, M. & Pätzold, J. Forcing of wet phases in southeast Africa over the past 17,000 years. Nature 480, 509–512 (2011). Google Scholar Weij, R. et al. Elevated Southern Hemisphere moisture availability during glacial periods. Nature 626, 319–326 (2024). Google Scholar Helmens, K. F. The Last Interglacial–Glacial cycle (MIS 5–2) re-examined based on long proxy records from central and northern Europe. Quat. Sci. Revs. 86, 115–143 (2014). Google Scholar Oliveira, D. et al. The complexity of millennial-scale variability in southwestern Europe during MIS 11. Quat. Res. 86, 373–387 (2017). Google Scholar Oliveira, D. et al. Unravelling the forcings controlling the vegetation and climate of the best orbital analogues for the present interglacial in SW Europe. Clim. Dyn. 51, 667–686 (2018). Google Scholar Sánchez-Goñi, M. F. et al. Pollen from the deep-sea: A breakthrough in the mystery of the Ice Ages. Front. Plant Sci. 9, 38 (2018). Google Scholar Sánchez-Goñi, M. F. Regional impacts of climate change and its relevance to human evolution. Evol. Hum. Sci. 2, e55 (2020). Google Scholar Wagner, B. et al. Mediterranean winter rainfall in phase with African monsoons during the past 1.36 million years. Nature. 573, 256–260. Coetzee, J. A. Pollen analytical studies in east and southern Africa. Palaeoeco. A. 3, 1–146 (1967). Google Scholar Shin, S. I. et al. A simulation of the Last Glacial Maximum climate using the NCAR-CCSM. Clim. Dynam. 20, 127–151 (2003). Google Scholar Twala, T. C., Fisher, J. T. & Glennon, K. L. Projecting Podocarpaceae response to climate change: we are not out of the woods yet. AoB Plants 15, plad034 (2023). Google Scholar Sánchez-Goñi, M. F. & Harrison, S. P. Millennial-scale climate variability and vegetation changes during the Last Glacial: Concepts and terminology. Quat. Sci. Revs. 29, 2823–2827 (2010). Google Scholar Svensson, A. et al. A 60 000 year Greenland stratigraphic ice core chronology. Clim. Past. 4, 47–57 (2008). Google Scholar Urrego, D. H., Sánchez Goñi, M. F., Daniau, A. L., Lechevrel, S. & Hanquiez, V. Increased aridity in southwestern Africa during the warmest periods of the last interglacial. Clim. Past. 11, 1417–1431 (2015). Google Scholar Daniau, A. L. et al. Orbital-scale climate forcing of grassland burning in southern Africa. PNAS 110, 5069–5073 (2013). Google Scholar Cowling, R. M., Esler, K. J., Midgley, G. F. & Honig, M. A. Plant functional diversity, species diversity and climate in arid and semi-arid southern Africa. J. Arid Environ. 27, 141–158 (1994). Google Scholar Parkington, J., Cartwright, C., Cowling, R. M., Baxter, A. & Meadows, M. Palaeovegetation at the last glacial maximum in the western Cape, South Africa: wood charcoal and pollen evidence from Elands Bay Cave. S. Afr. J. Sci. 96, 543–546 (2000). Google Scholar Cordova, C. E. & Scott, L. The potential of Poaceae, Cyperaceae, and Restionaceae phytoliths to reflect past environmental conditions in South Africa. APGLE. 107-134 (2010). Caley, T. et al. A two-million-year-long hydroclimatic context for hominin evolution in southeastern Africa. Nature 560, 76–79 (2018). Google Scholar Dupont, L. M., Caley, T. & Castañeda, I. S. Effects of atmospheric CO 2 variability of the past 800 kyr on the biomes of southeast Africa. Clim. Past. 15, 1083–1097 (2019). Google Scholar Moncrieff, G. R., Scheiter, S., Slingsby, J. A. & Higgins, S. I. Understanding global change impacts on South African biomes using Dynamic Vegetation Models. S. Afr. J. Bot. 101, 16–23 (2015). Google Scholar Mucina, L., Rutherford, M. C. & Powrie, L. W. The vegetation of South Africa, Lesotho and Swaziland. (South African National Biodiversity Institute, 2006). Fitchett, J. M. & Bamford, M. K. The validity of the Asteraceae: Poaceae fossil pollen ratio in discrimination of the southern African summer-and winter-rainfall zones. Quat. Sci. Revs. 160, 85–95 (2017). Google Scholar Avery, D. M. Micromammals as palaeoenvironmental indicators and an interpretation of the late Quaternary in the southern Cape Province, South Africa. Ann. S. Afr. Mus. 85, 183–374 (1981). Google Scholar Avery, D. M. Micromammals and the environment of early pastoralists at Spoeg River, western Cape Province, South Africa. S. Afr. Archaeol. Bull. 47, 116–121 (1992). Google Scholar Badenhorst, S., Van Niekerk, K. L. & Henshilwood, C. S. Large mammal remains from the 100 ka middle stone age layers of Blombos cave, South Africa. S. Afr. Archaeol. Bull. 46-52 (2016). Faith, J. T., Chase, B. M. & Avery, D. M. Late Quaternary micromammals and the precipitation history of the southern Cape, South Africa. Quat. Res. 91, 848–860 (2019). Google Scholar Hare, V. & Sealy, J. Middle Pleistocene dynamics of southern Africa’s winter rainfall zone from δ13C and δ18O values of Hoedjiespunt faunal enamel. Palaeogeogr. Palaeoclimatol. Palaeoecol. 374, 72–80 (2013). Google Scholar Nel, T. H. & Henshilwood, C. S. The small mammal sequence from the c. 76–72 ka Still Bay levels at Blombos Cave, South Africa–Taphonomic and palaeoecological implications for human behaviour. PONE 11, e0159817 (2016). Google Scholar Nel, T. H., Wurz, S. & Henshilwood, C. S. Small mammals from marine isotope stage 5 at Klasies River, South Africa–reconstructing the local palaeoenvironment. Quat. Int. 471, 6–20 (2018). Google Scholar Reynard, J. P. & Henshilwood, C. S. Environment versus behaviour: zooarchaeological and taphonomic analyses of fauna from the Still Bay layers at Blombos Cave, South Africa. Quat. Int. 500, 159–171 (2019). Google Scholar Reynard, J. P. & Wurz, S. The palaeoecology of Klasies River, South Africa: An analysis of the large mammal remains from the 1984–1995 excavations of Cave 1 and 1A. Quat. Sci. Revs. 237, 106301 (2020). Google Scholar Avery, D. M. Late Pleistocene coastal environment of the southern Cape province of South Africa: micromammals from Klasies River mouth. J. Archaeol. Sci. 14, 405–421 (1987). Google Scholar Matthews, T., Denys, C. & Parkington, J. E. The palaeoecology of the micromammals from the late middle Pleistocene site of Hoedjiespunt 1 (Cape Province, South Africa). JHE 49, 432–451 (2005). Google Scholar Avery, D. M. Rodents and other micromammals from the Pleistocene strata in Excavation 1 at Wonderwerk Cave, South Africa: A work in progress. Quat. Int. 614, 23–36 (2022). Google Scholar Linchamps, P. et al. Fossil micromammals and the palaeoenvironments of the Paranthropus robustus site of Cooper’s Cave. Hist. Biol. 36, 905–920 (2024). Google Scholar García-Morato, S. Tafonomía de micromamíferos, paleoecología y variabilidad de fenómenos climáticos. en el hemisferio norte y sur durante el Holoceno (Doctoral dissertation, Universidad Complutense de Madrid, (2023). García-Morato, S., Domínguez-García, ÁC., Sevilla, P., Laplana, C. & Fernández-Jalvo, Y. The last 20,000 years of climate change in the Iberian Peninsula characterized by the small-mammal assemblages. Palaeogeogr. Palaeoclimatol. Palaeoecol. 655, 112545 (2024). Google Scholar García-Morato, S. et al. New palaeoecological approaches to interpret climatic fluctuations in Holocenic sites of the Pampean Region of Argentina. Quat. Sci. Revs. 255, 106816 (2021). Google Scholar Linchamps, P. New modern and Pleistocene fossil micromammal assemblages from Swartkrans, South Africa: Paleobiodiversity, taphonomic, and environmental context. JHE 200, 103636 (2025). Google Scholar Andrews, P. Owls, caves and fossils (University of Chicago Press, 1990). Badenhorst, S., Ezeimo, J., van Niekerk, K. L. & Henshilwood, C. S. Differential accumulation of large mammal remains by carnivores and humans during the Middle Stone Age in the Eastern and Western Cape, South Africa. J. Archaeol. Sci. Rep. 35, 102752 (2021). Google Scholar Faith, J. T. Ungulate diversity and precipitation history since the Last Glacial Maximum in the Western Cape, South Africa. Quat. Sci. Revs. 68, 191–199 (2013). Google Scholar Thompson, J. C. & Henshilwood, C. S. Taphonomic analysis of the Middle Stone Age larger mammal faunal assemblage from Blombos Cave, southern Cape, South Africa. JHE 60, 746–767 (2011). Google Scholar Nel, T. H. & Henshilwood, C. S. The 100,000–77,000-year old Middle Stone Age micromammal sequence from Blombos Cave, South Africa: Local climatic stability or a tale of predator bias?. Afr. Archaeol. Rev. 38, 443–476 (2021). Google Scholar Brink, J. S. The taphonomy and palaeoecology of the Florisbad spring fauna. PoA 19, 169–179 (1988). Google Scholar Badenhorst, S. & Plug, I. The faunal remains from the Middle Stone Age levels of Bushman Rock Shelter in South Africa. S. Afr. Archaeol. Bull. 67, 16–31 (2012). Google Scholar Tribolo, C. et al. Luminescence dating at Border Cave: attempts, questions, and new results. Quat. Sci. Revs. 296, 107787 (2022). Google Scholar Avery, D. M. The environment of early modern humans at Border Cave, South Africa: micromammalian evidence. Palaeogeogr. Palaeoclimatol. Palaeoecol. 91, 71–87 (1992). b. Google Scholar Lennox, S., Backwell, L., d’Errico, F. & Wadley, L. A vegetation record based on charcoal analysis from Border Cave, KwaZulu-Natal, South Africa,∼ 227 000 to∼ 44 000 years ago. Quat. Sci. Revs. 293, 107676 (2022). Google Scholar Scott, L. Fluctuations of vegetation and climate over the last 75 000 years in the Savanna Biome, South Africa: Tswaing Crater and Wonderkrater pollen sequences reviewed. Quat. Sci. Revs. 145, 117–133 (2016). Google Scholar Klein, R. G. et al. The Ysterfontein 1 Middle Stone Age site, South Africa, and early human exploitation of coastal resources. PNAS 101, 5708–5715 (2004). Google Scholar Discamps, E. & Henshilwood, C. S. Intra-site variability in the Still Bay fauna at Blombos Cave: implications for explanatory models of the Middle Stone Age cultural and technological evolution. PONE 10, e0144866 (2015). Google Scholar Quick, L. J. et al. Vegetation and climate dynamics during the last glacial period in the fynbos-afrotemperate forest ecotone, southern Cape, South Africa. Quat. Int. 404, 136–149 (2016). Google Scholar Puech, E., Urrego, D. H., Sánchez-Goñi, M. F., Backwell, L. & d’Erricoc, F. Vegetation and environmental changes at the middle stone age site of Wonderkrater, Limpopo, South Africa. Quat. Res. 88, 313–326 (2017). Google Scholar Backwell, L. et al. The antiquity of bow-and-arrow technology: evidence from Middle Stone Age layers at Sibudu Cave. Antiq 92, 289–303 (2018). Google Scholar Allott, L. F. Archaeological charcoal as a window on palaeovegetation and wood-use during the Middle Stone Age at Sibudu Cave. South. Afr. Humanit. 18, 173–201 (2006). Google Scholar Hall, G. & Woodborne, S. M. Ecosystem change during MIS4 and early MIS 3: Evidence from Middle Stone Age sites in South Africa. (CRC Press, 2010). Klein, R. G. The mammalian fauna from the middle and later stone age (later Pleistocene) levels of Border Cave, Natal Province, South Africa. S. Afr. Archaeol. Bull. 32, 14–27 (1977). Google Scholar Vogelsang, R. et al. New excavations of Middle Stone Age deposits at Apollo 11 Rockshelter, Namibia: stratigraphy, archaeology, chronology and past environments. J. Afr. Archaeol. 8, 185–218 (2010). Google Scholar Cowling, R. M. et al. Describing a drowned Pleistocene ecosystem: last Glacial Maximum vegetation reconstruction of the Palaeo-Agulhas Plain. Quat. Sci. Revs. 235, 105866 (2020). Google Scholar Marean, C. W. et al. in Fynbos: Ecology, Evolution, and Conservation of a Megadiverse Region (eds. Allsopp, N., Colville, J. F. & Verboom, T.) 164-199 (Oxford University Press, 2014). Helm, C. W. et al. Pleistocene vertebrate tracksites on the Cape south coast of South Africa and their potential palaeoecological implications. Quat. Sci. Revs. 235, 105857 (2020). Google Scholar Venter, J. A., Brooke, C. F., Marean, C. W., Fritz, H. & Helm, C. W. Large mammals of the Palaeo-Agulhas Plain showed resilience to extreme climate change but vulnerability to modern human impacts. Quat. Sci. Revs. 235, 106050 (2020). Google Scholar Wadley, L. Those marvellous millennia: the Middle Stone Age of southern Africa. Azania 50, 155–226 (2015). Google Scholar Singer, R. & Wymer, J. The middle stone age at Klasies River mouth in South Africa (University of Chicago Press, 1982). Wurz, S. The middle stone age at Klasies river, South Africa (Doctoral dissertation, Stellenbosch: Stellenbosch University, 2000). Wurz, S. Variability in the middle stone age lithic sequence, 115,000–60,000 years ago at Klasies river, South Africa. J. Archaeol. Sci. 29, 1001–1015 (2002). Google Scholar Porraz, G. et al. The MSA sequence of Diepkloof and the history of southern African Late Pleistocene populations. J. Archaeol. Sci. 40, 3542–3552 (2013). Google Scholar Douze, K., Wurz, S. & Henshilwood, C. S. Techno-cultural characterization of the MIS 5 (c. 105–90 Ka) lithic industries at Blombos Cave, Southern Cape, South Africa. PONE 10, e0142151 (2015). Google Scholar Thompson, E., Williams, H. M. & Minichillo, T. Middle and late Pleistocene middle stone age lithic technology from Pinnacle point 13B (Mossel Bay, western Cape province, South Africa). JHE 59, 358–377 (2010). Google Scholar Wurz, S. The significance of MIS 5 shell middens on the Cape coast: A lithic perspective from Klasies River and Ysterfontein 1. Quat. Int. 270, 61–69 (2012). Google Scholar Will, M., Parkington, J. E., Kandel, A. W. & Conard, N. J. Coastal adaptations and the Middle Stone Age lithic assemblages from Hoedjiespunt 1 in the western Cape, South Africa. JHE 64, 518–537 (2013). Google Scholar Volman, T. P. Early archeological evidence for shellfish collecting. Science 201, 911–913 (1978). Google Scholar Volman, T. P. The middle stone age in the Southern Cape (Doctoral dissertation, The University of Chicago, 1981). Backwell, L. R. et al. New excavations at border cave, KwaZulu-natal, South Africa. J. Field Archaeol. 43, 417–436 (2018). Google Scholar de la Peña, P. et al. Revisiting Mwulu’s Cave: new insights into the Middle Stone Age in the southern African savanna biome. Archaeol. Anthropol. Sci. 11, 3239–3266 (2019). Google Scholar Feathers, J. K., Evans, M., Stratford, D. J. & de la Peña, P. Exploring complexity in luminescence dating of quartz and feldspars at the Middle Stone Age site of Mwulu’s Cave (Limpopo, South Africa). Quat. Geochronol. 59, 101092 (2020). Google Scholar Porraz, G. et al. Bushman Rock Shelter (Limpopo, South Africa): a perspective from the edge of the Highveld. S. Afr. Archaeol. Bull. 70, 166–179 (2015). Google Scholar Porraz, G. et al. The MIS5 Pietersburg at ‘28’Bushman Rock Shelter, Limpopo Province, South Africa. PONE 13, e0202853 (2018). Google Scholar Val, A. et al. The place beyond the trees: renewed excavations of the Middle Stone Age deposits at Olieboomspoort in the Waterberg Mountains of the South African Savanna Biome. Archaeol. Anthropol. Sci. 13, 116 (2021). Google Scholar Mackay, A., Jacobs, Z. & Steele, T. E. Pleistocene archaeology and chronology of Putslaagte 8 (PL8) rockshelter, Western Cape, South Africa. J. Afr. Archaeol. 13, 71–98 (2015). Google Scholar Pazan, K. R., Dewar, G. & Stewart, B. A. The MIS 5a (~ 80 ka) Middle Stone Age lithic assemblages from Melikane Rockshelter, Lesotho: highland adaptation and social fragmentation. Quat. Int. 611, 115–133 (2022). Google Scholar Rots, V., Lentfer, C., Schmid, V. C., Porraz, G. & Conard, N. J. Pressure flaking to serrate bifacial points for the hunt during the MIS5 at Sibudu Cave (South Africa). PONE 12, e0175151 (2017). Google Scholar Schmid, V. C., Porraz, G., Zeidi, M. & Conard, N. J. Blade technology characterizing the MIS 5 DA layers of Sibudu Cave, South Africa. Lithic Technol 44, 199–236 (2019). Google Scholar Lanos. Ph. & Dufresne, Ph. ‘ChronoModel version 3.0: Software for Chronological Modelling of Archaeological Data using Bayesian Statistics’. Available at https://chronomodel.com/ (2024). d’Errico, F. et al. Identifying early modern human ecological niche expansions and associated cultural dynamics in the South African Middle Stone Age. PNAS 114, 7869–7876 (2017). Google Scholar Lombard, M. et al. The Southern African stone age sequence updated (II). Afr. Archaeol. Bull. 77, 172–212 (2022). Google Scholar Jacobs, Z. et al. Ages for the Middle Stone Age of southern Africa: implications for human behavior and dispersal. Science 322, 733–735 (2008). Google Scholar Guérin, G. et al. How confident are we in the chronology of the transition between Howieson’s Poort and Still Bay?. J. Hum. Evol. 64, 314–317 (2013). Google Scholar Tribolo, C. et al. OSL and TL dating of the Middle Stone Age sequence at Diepkloof Rock Shelter (South Africa): A clarification. J. Archaeol. Sci. 40, 3401–3411 (2013). Google Scholar Jacobs, Z. & Roberts, R. G. Single-grain OSL chronologies for the Still Bay and Howieson’s Poort industries and the transition between them: Further analyses and statistical modelling. J. Hum. Evol. 107, 1–13 (2017). Google Scholar Scholes, R. J. in Vegetation of Southern Africa, (ed. Cowling, R. M., Richardson, D. M. & Pierce, S. M.) 258–277 (Cambridge University Press, Cambridge, 1997). Jury, M. R., Valentine, H. R. & Lutjeharms, J. R. Influence of the Agulhas Current on summer rainfall along the southeast coast of South Africa. JAMC 32, 1282–1287 (1993). Google Scholar Reason, C. J. C. & Mulenga, H. Relationships between South African rainfall and SST anomalies in the southwest Indian Ocean. Int. J. Climatol. 19, 1651–1673 (1999). Google Scholar Rutherford, M. C., Powrie, L. W. & Schulze, R. E. Climate change in conservation areas of South Africa and its potential impact on floristic composition: a first assessment. Divers. Distrib. 5, 253–262 (1999). Google Scholar O’Connor, T. G. & Bredenkamp, G. J. in Vegetation of Southern Africa (ed. Cowling, R. M., Richardson, D. M. & Pierce, S. M.) 215–257 (Cambridge University Press, 1997). Polanco-Martínez, J. M., Medina-Elizalde, M., Sánchez-Goñi, M. F. & Mudelsee, M. BINCOR: An R package for Estimating the Correlation between Two Unevenly Spaced Time Series. The R Journal 11, 1–14 (2019). Google Scholar Evans, E. N., Van Couvering, J. A. & Andrews, P. Palaeoecology of Miocene sites in western Kenya. JHE 10, 99–116 (1981). Google Scholar Fernández-Jalvo, Y. et al. Taphonomy and palaeoecology of Olduvai bed-I (Pleistocene, Tanzania). JHE 34, 137–172 (1998). Google Scholar Andrews, P. Taphonomic effects of faunal impoverishment and faunal mixing. Palaeogeogr. Palaeoclimatol. Palaeoecol. 241, 572–589 (2006). Google Scholar Porraz, G. et al. Technological successions in the Middle Stone Age sequence of Diepkloof Rock Shelter, Western Cape, South Africa. J. Archaeol. Sci. 40, 3376–3400 (2013). Google Scholar Wurz, S. Technological trends in the Middle Stone Age of South Africa between MIS 7 and MIS 3. Curr. Anthropol. 54, 305–319 (2013). Google Scholar Bader, G. D., Schmid, V. C. & Kandel, A. W. in Oxford Research Encyclopedia of Anthropology, (2022). Hallett, E. Y. et al. Major expansion in the human niche preceded out of Africa dispersal. Nature, (2025). Tribolon, C. et al. Thermoluminescence dating of a Stillbay–Howiesons Poort sequence at Diepkloof Rock Shelter (Western Cape, South Africa). J. Archaeol. Sci. 36, 730–739 (2009). Google Scholar Hijmans, R. J. et al. Very high-resolution interpolated climate surfaces for global land areas. Int. J. Climatol. 25, 1965–1978 (2005). Google Scholar Lehner, B. & Grill, G. Global River hydrography and network routing: baseline data and new approaches to study the world’s large river systems. Hydrol. Process. 27, 2171–2186 (2013). Google Scholar Download references Acknowledgements This work was funded by the Fyssen Foundation 2024 Postdoctoral Program, which supported SGM through a one-year contract at the University of Bordeaux for the project Unravelling climate and ecosystem dynamics and their influence on human societies: Palaeoecological insights across hemispheres. Additional financial support was provided by the Ministerio de Ciencia, Innovación y Universidades and Consejo Superior de Investigaciones Científicas (Projects PID2021-126933NB-I00 and i-COOP 2024_COOPB24012, respectively). Research by MFSG and FD is supported by the Grand Programme de Recherche ‘Human Past’ of the Initiative d’Excellence (IdEx) at the University of Bordeaux. FD’s research is also supported by the University of Bordeaux Talents Programme (grant number: 191022_001) and the Research Council of Norway through its Centres of Excellence funding scheme, SFF Centre for Early Sapiens Behaviour (SapienCE), project number 262618. Funding Open access funding provided by University of Bergen. Author information Authors and Affiliations Université de Bordeaux, Environnements et Paléoenvironnements Océaniques et Continentaux (EPOC), Unité Mixte de Recherche, 5805, Pessac, France Sara García-Morato & María Fernanda Sánchez-Goñi Instituto de Historia. Departamento de Arqueología y Procesos Sociales (CSIC), Madrid, Spain Sara García-Morato Ecole Pratique des Hautes Etudes (EPHE), PSL University, Paris, France María Fernanda Sánchez-Goñi Global Systems Institute, Department of Geography, Faculty of Environment, Science and Economy, University of Exeter, Exeter, UK Dunia H. Urrego Université de Bordeaux, De la Préhistoire à l’Actuel: Culture, Environnement et Anthropologie (PACEA), Unité Mixte de Recherche, Pessac, France Francesco d’Errico SFF Center for Early Sapiens Behaviour (Sapien CE), University of Bergen, Bergen, Norway Francesco d’Errico Authors Sara García-Morato View author publications Search author on:PubMed Google Scholar María Fernanda Sánchez-Goñi View author publications Search author on:PubMed Google Scholar Dunia H. Urrego View author publications Search author on:PubMed Google Scholar Francesco d’Errico View author publications Search author on:PubMed Google Scholar Contributions Sara García-Morato: developed the study design, sourced and collected the data, analysed the data and created the figures, led the writing of the manuscript, discussed results, contributed to the manuscript prior to submission. María Fernanda Sánchez-Goñi: supervisor, developed the study design, discussed results, contributed to the manuscript prior to submission. Dunia H. Urrego: discussed results, contributed to the manuscript prior to submission. Francesco d’Errico: developed the study design, discussed results, contributed to the manuscript prior to submission. Corresponding authors Correspondence to Sara García-Morato or Francesco d’Errico. Ethics declarations Competing interests The authors declare no competing interests. Peer review Peer review information Communications Earth & Environment thanks Jessica Zappa and Peng Lu for their contribution to the peer review of this work. Primary Handling Editors: Yama Dixit, Joe Aslin and Alice Drinkwater. A peer review file is available. Additional information Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations. Supplementary information Transparent Peer Review file Supplementary Information 1 description of additional supplementary files Supplementary Data 1 Supplementary Data 2 Rights and permissions Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. Reprints and permissions About this article Cite this article García-Morato, S., Sánchez-Goñi, M.F., Urrego, D.H. et al. Climatic variability, vegetation dynamics, and cultural innovation in Southern Africa during the Middle Stone Age. Commun Earth Environ (2026). https://doi.org/10.1038/s43247-025-03051-0 Download citation Received: 04 August 2025 Accepted: 18 November 2025 Published: 08 January 2026 DOI: https://doi.org/10.1038/s43247-025-03051-0 Share this article Anyone you share the following link with will be able to read this content:Get shareable link Sorry, a shareable link is not currently available for this article. Copy shareable link to clipboard Provided by the Springer Nature SharedIt content-sharing initiative Subjects Archaeology Palaeoclimate Palaeoecology

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  • Abstract Distillation is the most energy-consuming unit operation of the chemical industry, however, its decarbonization strategy necessitates laborious manual process simulation, optimization and carbon emission accounting. Here we established a reasoning agent consisting of a large language model (LLM) and an extensive tool set to automate learning material collection, process simulation, optimization and carbon emission accounting of a representative methanol and ethanol distillation case study. Then the agent automatically constructed a heat pump-assisted distillation process to save energy. The impact of three energy supply scenarios on the carbon emissions of distillation, namely, coal, natural gas and renewables, was evaluated. Combining the heat pump-assisted process and renewables could substantially reduce the carbon emission by 98% compared with the coal-based traditional distillation process. This study explored using reasoning agents to automate carbon emission and decarbonization intervention quantification, and facilitated high-resolution carbon emission models of the industry. Data availability The data and prompts used for the study were all disclosed in the paper and the Supplementary data. Code availability The code used to generate the results was available from the following link upon request: https://github.com/TSH-AI/Aspen-AI References Cullen, L., Meng, F., Lupton, R. & Cullen, J. M. Reducing uncertainties in greenhouse gas emissions from chemical production. Nat. Chem. Eng. 1, 311–322 (2024). Google Scholar Meng, F. et al. Planet-compatible pathways for transitioning the chemical industry. Proc. Natl. Acad. Sci. USA 120, e2218294120 (2023). Google Scholar Gao, Y. Integrating interdisciplinary models to identify hotspots and inform decarbonization strategy. Cell Rep. Sustain. 1, 100266 (2024). Google Scholar Levi, P. G. & Cullen, J. M. Mapping global flows of chemicals: from fossil fuel feedstocks to chemical products. Environ. Sci. Technol. 52, 1725–1734 (2018). Google Scholar Gao, Y. & Cabrera Serrenho, A. Greenhouse gas emissions from nitrogen fertilisers could be reduced by up to one-fifth of current levels by 2050 with combined interventions. Nat. Food 4, 170–178 (2023). Google Scholar Kiss, A. A. & Smith, R. Rethinking energy use in distillation processes for a more sustainable chemical industry. Energy 203, 117788 (2020). Google Scholar Cui, C. et al. Electrification of distillation for decarbonization: an overview and perspective. Renew. Sustain. Energy Rev. 199, 114522 (2024). Google Scholar Li, X., Cui, C., Li, H. & Gao, X. Process synthesis and simulation-based optimization of ethylbenzene/styrene separation using double-effect heat integration and self-heat recuperation technology: a techno-economic analysis. Sep. Purif. Technol. 228, 115760 (2019). Google Scholar Hou, W., Zhang, Q. & Zeng, A. Separation of n-heptane/isobutanol via eco-efficient vapor recompression-assisted distillation: process optimization and control strategy. Front. Chem. Sci. Eng. 15, 1169–1184 (2021). Google Scholar Gao, Y., Cabrera Serrenho, A. & Wei, W. Ammonia decarbonization requires region-specific interventions. Nat. Food 6, 533–534 (2025). Google Scholar Silver, D. et al. Mastering the game of Go without human knowledge. Nature 550, 354–359 (2017). Google Scholar Jumper, J. et al. Highly accurate protein structure prediction with AlphaFold. Nature 596, 583–589 (2021). Google Scholar Vaswani, A. et al. Attention is all you need. In Proc. 31st International Conference on Neural Information Processing Systems 6000–6010 (Curran Associates Inc., 2017). Wei, J. et al. Chain-of-thought prompting elicits reasoning in large language models. Adv. Neural Inf. Process. Syst. 35, 1–14 (2022). Google Scholar Yao, Y., Lan, K., Graedel, T. E. & Rao, N. D. Models for decarbonization in the chemical industry. Annu. Rev. Chem. Biomol. Eng. 15, 139–161 (2024). Google Scholar Hao, Z., Barecka, M. H. & Lapkin, A. A. Accelerating net zero from the perspective of optimizing a carbon capture and utilization system. Energy Environ. Sci. 15, 2139–2153 (2022). Google Scholar Shi, H. et al. Modelling of biomass gasification for fluidized bed in Aspen Plus: using machine learning for fast pyrolysis prediction. Energy Convers. Manag 332, 119695 (2025). Google Scholar Timilsina, M. S. et al. Syngas composition analysis for waste to methanol production: Techno-economic assessment using machine learning and Aspen Plus. Renew. Energy 228, 120574 (2024). Google Scholar Ruan, Y. et al. An automatic end-to-end chemical synthesis development platform powered by large language models. Nat. Commun. 15, 10160 (2024). Google Scholar Pan, Y. et al. Chat-microreactor: a large-language-model-based assistant for designing continuous flow systems. Chem. Eng. Sci. 311, 121567 (2025). Google Scholar Balhorn, L. S., Caballero, M. & Schweidtmann, A. M. Toward autocorrection of chemical process flowsheets using large language models. Comput. Aided Chem. Eng. 53, 3109–3114 (2024). Google Scholar Zeng, T. et al. LLM-guided chemical process optimization with a multi-agent approach. Mach. Learn. Sci. Technol. https://doi.org/10.1088/2632-2153/ae2382 (2025). Savelski, M. J., Slater, C. S., Tozzi, P. V. & Wisniewski, C. M. On the simulation, economic analysis, and life cycle assessment of batch-mode organic solvent recovery alternatives for the pharmaceutical industry. Clean. Technol. Environ. Policy 19, 2467–2477 (2017). Google Scholar Aspen Plus. Aspen Plus Input Language Guide (Aspen Technology, Inc, 2005). Luyben, W. L. Distillation economic optimization. In Distillation Design and Control Using AspenTM Simulation (ed. Luyben, W. L.) 83 (Wiley, 2013). Whittaker, C., Mortimer, N., Murphy, R. & Matthews, R. Energy and greenhouse gas balance of the use of forest residues for bioenergy production in the UK. Biomass Bioenergy 35, 4581–4594 (2011). Google Scholar Edenhofer, O. et al. Climate Change 2014: Mitigation of Climate Change. Working Group III Contribution to the IPCC Fifth Assessment Report. https://doi.org/10.1017/CBO9781107415416 (Cambridge University Press, 2015). Eggleston, H., Buendia, L., Miwa, K., Ngara, T. & Tanabe, K. 2006 IPCC guidelines for national greenhouse gas inventories. (Institute for Global Environmental Strategies, 2006). Pulles, T., Gillenwater, M. & Radunsky, K. CO2 emissions from biomass combustion Accounting of CO2 emissions from biomass under the UNFCCC. Carbon Manag. 13, 181–189 (2022). Google Scholar Jiang, M. et al. Tracing fossil-based plastics, chemicals and fertilizers production in China. Nat. Commun. 15, 3854 (2024). Google Scholar Willibald, C. & Lee, D. Hierarchical task decomposition for execution monitoring and error recovery: understanding the rationale behind task demonstrations. Int. J. Robot. Res. https://doi.org/10.1177/02783649251352112 (2025). Roh, K., Al-Hunaidy, A. S., Imran, H. & Lee, J. H. Optimization-based identification of CO 2 capture and utilization processing paths for life cycle greenhouse gas reduction and economic benefits. AIChE J. 65, e16580 (2019). Google Scholar Santos, A., Barbosa-Póvoa, A. & Carvalho, A. Life cycle assessment in chemical industry – a review. Curr. Opin. Chem. Eng. 26, 139–147 (2019). Google Scholar Gao, X., Gu, Q., Ma, J. & Zeng, Y. MVR heat pump distillation coupled with ORC process for separating a benzene-toluene mixture. Energy 143, 658–665 (2018). Google Scholar Qi, M. et al. Electrified distillation with flash vapor circulation and thermal storage for dynamic electricity markets. AIChE J. 71, e18750 (2025). Google Scholar White, J. A. & Velasco, S. Characterizing wet and dry fluids in temperature-entropy diagrams. Energy 154, 269–276 (2018). Google Scholar Yao, S. et al. ReAct: Synergizing Reasoning and Acting in Language Models. In 11th International Conference on Learning Representations (ICLR, 2022). Araújo, A. B., Brito, R. P. & Vasconcelos, L. S. Exergetic analysis of distillation processes-A case study. Energy 32, 1185–1193 (2007). Google Scholar Ma, J., Wang, X., Zhou, Y., Du, Y. & Wang, B. Energy-saving process development for the purification of propylene glycol based on MVR heat pump distillation combined with thermally coupled technology. Sep. Purif. Technol. 329, 125064 (2024). Google Scholar Ayou, D. S. & Coronas, A. Performance simulation of solar-driven absorption heat pump-membrane distillation system for combined desalination brine concentration with feed recirculation and cooling applications. Energy 312, 133604 (2024). Google Scholar Lewis, P. et al. Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks. In Advances in Neural Information Processing Systems (eds. Larochelle, H., Ranzato, M., Hadsell, R., Balcan, M. F. & Lin, H.) vol. 33 9459–9474 (Curran Associates, Inc., 2020). Download references Acknowledgements S.Q. and W.W. acknowledge support from the Strategic Priority Research Program of the Chinese Academy of Sciences (grant reference XDA/29010500). Y.G. acknowledges the financial support from the Top Talent Program of Shanghai Advanced Research Institute, Chinese Academy of Sciences (grant reference E554261ZZ1). The authors acknowledge Dr Tieqiang Wang for the insightful discussions. Author information Author notes These authors contributed equally: Sihan Tan, Xiaochi Zhou. Authors and Affiliations Center for Low-Carbon Conversion Science & Engineering, Shanghai Advanced Research Institute, Chinese Academy of Sciences, Shanghai, China Sihan Tan, Hai Zhou, Yihang Xie, Guofei Shen, Yunhu Gao, Qun Shen & Wei Wei State Key Laboratory of Low Carbon Catalysis and Carbon Dioxide Utilization, Shanghai Advanced Research Institute, Chinese Academy of Sciences, Shanghai, China Sihan Tan, Hai Zhou, Yihang Xie, Guofei Shen, Yunhu Gao, Qun Shen & Wei Wei University of Chinese Academy of Sciences, Beijing, China Sihan Tan, Yunhu Gao & Wei Wei PowerChina Huadong Engineering Corporation Co., Ltd., Hangzhou, Zhejiang, China Xiaochi Zhou College of Smart Energy, Shanghai Jiaotong University, Shanghai, China Zhimian Hao Sinopec Engineering Incorporation, Anhuibeili Chaoyang District, Beijing, China Liwei Cao Authors Sihan Tan View author publications Search author on:PubMed Google Scholar Xiaochi Zhou View author publications Search author on:PubMed Google Scholar Hai Zhou View author publications Search author on:PubMed Google Scholar Zhimian Hao View author publications Search author on:PubMed Google Scholar Yihang Xie View author publications Search author on:PubMed Google Scholar Liwei Cao View author publications Search author on:PubMed Google Scholar Guofei Shen View author publications Search author on:PubMed Google Scholar Yunhu Gao View author publications Search author on:PubMed Google Scholar Qun Shen View author publications Search author on:PubMed Google Scholar Wei Wei View author publications Search author on:PubMed Google Scholar Contributions S.T. wrote the code and prompts. X.Z. was responsible for the MCP tools. H.Z. built the RAG. Y.X. drew the figures. Z.H., L.C., G.S., and Q.S. contributed to agent establishment. Y.G. wrote the manuscript, acquired funding, supervised, and conceptualized the study. W.W. supervised the project and acquired funding. All the authors revised the manuscript. Corresponding authors Correspondence to Yunhu Gao, Qun Shen or Wei Wei. Ethics declarations Competing interests The authors declare the following competing interests: X.Z. is hired by PowerChina Huadong Engineering Corporation Co., Ltd., and L.C. is hired by Sinopec Engineering Incorporation. Peer review Peer review information Communications Engineering thanks Erik Esche and Karoline Dantas Brito for their contribution to the peer review of this work. Primary Handling Editors: [Wenjie Wang, Rosamund Daw]. Additional information Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations. Supplementary information Supplementary Information Rights and permissions Open Access This article is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License, which permits any non-commercial use, sharing, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if you modified the licensed material. You do not have permission under this licence to share adapted material derived from this article or parts of it. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by-nc-nd/4.0/. Reprints and permissions About this article Cite this article Tan, S., Zhou, X., Zhou, H. et al. Reasoning-agent-driven process simulation, optimization, carbon accounting and decarbonization of distillation. Commun Eng (2026). https://doi.org/10.1038/s44172-025-00583-3 Download citation Received: 21 August 2025 Accepted: 23 December 2025 Published: 08 January 2026 DOI: https://doi.org/10.1038/s44172-025-00583-3 Share this article Anyone you share the following link with will be able to read this content:Get shareable link Sorry, a shareable link is not currently available for this article. 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    2026-01-08
  • Abstract Natural hazards are intensifying globally, necessitating public emergency preparedness to safeguard individuals and society. Yet, many citizens remain inadequately prepared. Here, we synthesized the current knowledge on public emergency preparedness by conducting a series of meta-analyses across 33 socio-psychological correlates of preparedness and their interplay in meta-analytic structural equation modeling. The dataset included 1,123 effect sizes from 167 independent samples spanning three decades, 30 countries, and 110,683 individuals facing hazards such as heatwaves and earthquakes. Results identified four key factors of public (un)preparedness: (1) social norms regarding preparedness, (2) efficacy beliefs and attitudes toward specific preparedness actions, preliminary – (3) information dissemination sources, and (4) barriers to preparedness. Notably, the effects considerably varied across studies. For researchers, we recommend refined conceptualizations and measurements of preparedness and focus on heat-related hazards. For practitioners, this synthesis provides insights to improve risk communication, inform policy decisions, and build resilient communities. Data availability The data are publicly available on OSF https://doi.org/10.17605/OSF.IO/YXHNJ. Code availability Code to replicate the main analyses is available on OSF https://doi.org/10.17605/OSF.IO/YXHNJ. References Nohrstedt, D., Mondino, E., Di Baldassarre, G. & Parker, C. F. Assessing the myth of disaster risk reduction in the wake of catastrophic floods. Npj Nat. Hazards 1, 1–5 (2024). Google Scholar Bamberg, S., Masson, T., Brewitt, K. & Nemetschek, N. Threat, coping and flood prevention – A meta-analysis. J. Environ. Psychol. 54, 116–126 (2017). Google Scholar Huang, S.-K., Lindell, M. K. & Prater, C. S. Who leaves and who stays? A review and statistical meta-analysis of hurricane evacuation studies. Environ. Behav. 48, 991–1029 (2016). Google Scholar Karaye, I. M., Taylor, N., Perez-Patron, M., Thompson, C. & Horney, J. A. Factors associated with hurricane evacuation: a statistical meta-analysis of studies, 1999-2018. Disaster Med. Public Health Prep. 16, 1064–1072 (2022). Google Scholar Koksal, K., McLennan, J., Every, D. & Bearman, C. Australian wildland-urban interface householders’ wildfire safety preparations: ‘Everyday life’ project priorities and perceptions of wildfire risk. Int. J. Disaster Risk Reduct. 33, 142–154 (2019). Google Scholar Tan, H., Hao, Y., Yang, J. & Tang, C. Meta-analyses of motivational factors of response to natural disaster. J. Environ. Manag. 351, 119723 (2024). Google Scholar Tanim, S. H., Wiernik, B. M., Reader, S. & Hu, Y. Predictors of hurricane evacuation decisions: a meta-analysis. J. Environ. Psychol. 79, 101742 (2022). Google Scholar van Valkengoed, A. M. & Steg, L. Meta-analyses of factors motivating climate change adaptation behaviour. Nat. Clim. Change 9, 158–163 (2019). Google Scholar Kellens, W., Terpstra, T. & De Maeyer, P. Perception and communication of flood risks: a systematic review of empirical research. Risk Anal. 33, 24–49 (2013). Google Scholar Paton, D. Disaster risk reduction: psychological perspectives on preparedness. Aust. J. Psychol. 71, 327–341 (2019). Google Scholar Rogers, R. W. A Protection motivation theory of fear appeals and attitude change1. J. Psychol. 91, 93–114 (1975). Google Scholar Maddux, J. E. & Rogers, R. W. Protection motivation and self-efficacy: a revised theory of fear appeals and attitude change. J. Exp. Soc. Psychol. 19, 469–479 (1983). Google Scholar M. Cismaru, Cismaru, R., Ono, T. & Nelson, K. “Act on Climate Change”: An Application of Protection Motivation Theory. https://journals.sagepub.com/doi/epdf/10.1080/15245004.2011.595539 (2011). Demski, C., Capstick, S., Pidgeon, N., Sposato, R. G. & Spence, A. Experience of extreme weather affects climate change mitigation and adaptation responses. Clim. Change 140, 149–164 (2017). Google Scholar Wachinger, G., Renn, O., Begg, C. & Kuhlicke, C. The risk perception paradox—implications for governance and communication of natural hazards. Risk Anal. 33, 1049–1065 (2013). Google Scholar Wilson, R. S., Herziger, A., Hamilton, M. & Brooks, J. S. From incremental to transformative adaptation in individual responses to climate-exacerbated hazards. Nat. Clim. Change 10, 200–208 (2020). Google Scholar Lüthi, S. et al. Rapid increase in the risk of heat-related mortality. Nat. Commun. 14, 4894 (2023). Google Scholar Stanley, T. D. Limitations of PET-PEESE and other meta-analysis methods. Soc. Psychol. Personal. Sci. 8, 581–591 (2017). Google Scholar McIvor, D. & Paton, D. Preparing for natural hazards: normative and attitudinal influences. Disaster Prev. Manag. Int. J. 16, 79–88 (2007). Google Scholar Lindell, M. K. & Perry, R. W. The protective action decision model: theoretical modifications and additional evidence. Risk Anal. 32, 616–632 (2012). Google Scholar Mulilis, J.-P. & Duval, T. S. Negative threat appeals and earthquake preparedness: a person-relative-to-event (PrE) model of coping with threat. J. Appl. Soc. Psychol. 25, 1319–1339 (1995). Google Scholar Witte, K. Putting the fear back into fear appeals: the extended parallel process model. Commun. Monogr. 59, 329–349 (1992). Google Scholar Lim, J. R. Why People Adopt Climate Change Adaptation and Disaster Risk Reduction Behaviors: Integrated Model of Risk Communication and Results from Hurricanes, Floods, and Wildfires. https://doi.org/10.1175/BAMS-D-21-0087.1 (2022). Okumah, M. et al. Revisiting the determinants of pro-environmental behaviour to inform land management policy: a meta-analytic structural equation model application. Land 9, 135 (2020). Google Scholar Greer, A., Binder, S. B., Thiel, A., Jamali, M. & Nejat, A. Place attachment in disaster studies: measurement and the case of the 2013 Moore tornado. Popul. Environ. 41, 306–329 (2020). Google Scholar Wallis, A., Fischer, R. & Abrahamse, W. Place attachment and disaster preparedness: examining the role of place scale and preparedness type. Environ. Behav. 54, 670–711 (2022). Google Scholar Lofstedt, R. Effective risk communication and CCS: the road to success in Europe. J. Risk Res. 18, 675–691 (2015). Google Scholar Fazeli, S., Haghani, M., Mojtahedi, M. & Rashidi, T. H. The role of individual preparedness and behavioural training in natural hazards: a scoping review. Int. J. Disaster Risk Reduct. 105, 104379 (2024). Google Scholar Anderson, C. C., Moure, M., Demski, C. & Renaud, F. G. Risk tolerance as a complementary concept to risk perception of natural hazards: A conceptual review and application. Risk Anal. 44, 304–321 (2024). Google Scholar Bubeck, P., Botzen, W. J. W. & Aerts, J. C. J. H. A review of risk perceptions and other factors that influence flood mitigation behavior. Risk Anal. 32, 1481–1495 (2012). Google Scholar Gehlbach, H. & Brinkworth, M. E. Measure twice, cut down error: a process for enhancing the validity of survey scales. Rev. Gen. Psychol. 15, 380–387 (2011). Google Scholar Skipor, S. & Bergquist, M. Online Materials of Meta-analytic Evidence Identifies Efficacy Beliefs and Social Norms as Key Correlates for Public Emergency Preparedness. https://doi.org/10.17605/OSF.IO/YXHNJ (2024). Kothe, E. J. et al. Protection motivation theory and pro-environmental behaviour: a systematic mapping review. Aust. J. Psychol. 71, 411–432 (2019). Google Scholar Slovic, P., Finucane, M. L., Peters, E. & MacGregor, D. G. Risk as analysis and risk as feelings: some thoughts about affect, reason, risk, and rationality. Risk Anal. 24, 311–322 (2004). Google Scholar Andráško, I. Why people (do not) adopt the private precautionary and mitigation measures: a review of the issue from the perspective of recent flood risk research. Water 13, 140 (2021). Google Scholar Kuhlicke, C. et al. Spinning in circles? A systematic review on the role of theory in social vulnerability, resilience and adaptation research. Glob. Environ. Change 80, 102672 (2023). Google Scholar Paton, D. et al. The development and use of Community Engagement Theory to inform readiness interventions for natural hazard events. Austr. J. Disaster Trauma Stud. 28, 37–56 (2024). Google Scholar Paton, D. Disaster resilient communities: developing and testing an all-hazards theory. J. Integr. Disaster Risk Manag. 3, 1–17 (2013). Google Scholar Sheeran, P. Intention–behavior relations: a conceptual and empirical review. Eur. Rev. Soc. Psychol. 12, 1–36 (2005). Google Scholar Agyepong, L. A. & Liang, X. Mapping the knowledge frontiers of public risk communication in disaster risk management. J. Risk Res. 26, 302–323 (2023). Google Scholar Höppner, C., Whittle, R., Bründl, M. & Buchecker, M. Linking social capacities and risk communication in Europe: a gap between theory and practice?. Nat. Hazards 64, 1753–1778 (2012). Google Scholar Steelman, T. A. & McCaffrey, S. Best practices in risk and crisis communication: implications for natural hazards management. Nat. Hazards 65, 683–705 (2013). Google Scholar Rohrer, J. M. Thinking clearly about correlations and causation: graphical causal models for observational data. Adv. Methods Pract. Psychol. Sci. 1, 27–42 (2018). Google Scholar Raile, E. D. et al. Narrative risk communication as a lingua franca for environmental hazard preparation. Environ. Commun. 16, 108–124 (2022). Google Scholar Byerly Flint, H., Champ, P. A., Meldrum, J. R. & Brenkert-Smith, H. Wildfire imagery reduces risk information-seeking among homeowners as property wildfire risk increases. Commun. Earth Environ. 3, 1–8 (2022). Google Scholar Maloney, E. K., Lapinski, M. K. & Witte, K. Fear appeals and persuasion: a review and update of the extended parallel process model. Soc. Personal. Psychol. Compass 5, 206–219 (2011). Google Scholar Lim, J. R., Liu, B. F. & Atwell Seate, A. Are you prepared for the next storm? Developing social norms messages to motivate community members to perform disaster risk mitigation behaviors. Risk Anal. 42, 2550–2568 (2022). Google Scholar Duval, T. S. & Mulilis, J.-P. A person-relative-to-event (PrE) approach to negative threat appeals and earthquake preparedness: a field study. J. Appl. Soc. Psychol. 29, 495–516 (1999). Google Scholar Sharpe, E. J. & Steg, L. A critical reflection on behavioural difficulty: proposing a barrier-first approach. Curr. Opin. Behav. Sci. 62, 101500 (2025). Google Scholar McKenzie-Mohr, D. & Schultz, P. W. Choosing effective behavior change tools. Soc. Mark. Q. 20, 35–46 (2014). Google Scholar Gifford, R. The dragons of inaction: psychological barriers that limit climate change mitigation and adaptation. Am. Psychol. 66, 290–302 (2011). Google Scholar Bartoš, F. et al. Footprint of publication selection bias on meta-analyses in medicine, environmental sciences, psychology, and economics. Res. Synth. Methods 15, 500–511 (2024). Google Scholar Grothmann, T. & Reusswig, F. People at risk of flooding: why some residents take precautionary action while others do not. Nat. Hazards 38, 101–120 (2006). Google Scholar Virtanen, P. et al. SciPy 1.0: fundamental algorithms for scientific computing in Python. Nat. Methods 17, 261–272 (2020). Google Scholar Borenstein, M., Hedges, L. V., Higgins, J. P. T. & Rothstein, H. R. Introduction to Meta-Analysis (John Wiley & Sons, 2021). van Aert, R. C. M. & Jackson, D. A new justification of the Hartung-Knapp method for random-effects meta-analysis based on weighted least squares regression. Res. Synth. Methods 10, 515–527 (2019). Google Scholar Wilson, D. B. Practical Meta-analysis Effect Size Calculator (Version 2023.11) (2023). Ben-Shachar, M. S., Lüdecke, D. & Makowski, D. Effectsize: estimation of effect size indices and standardized parameters. J. Open Source Softw. 5, 2815 (2020). Google Scholar Gilpin, A. R. Table for conversion of Kendall’S Tau to Spearman’S Rho within the context of measures of magnitude of effect for meta-analysis. Educ. Psychol. Meas. 53, 87–92 (1993). Google Scholar IntHout, J., Ioannidis, J. P. A., Rovers, M. M. & Goeman, J. J. Plea for routinely presenting prediction intervals in meta-analysis. BMJ Open 6, e010247 (2016). Google Scholar Egger, M., Smith, G. D., Schneider, M. & Minder, C. Bias in meta-analysis detected by a simple, graphical test. BMJ 315, 629–634 (1997). Google Scholar Duval, S. & Tweedie, R. Trim and fill: a simple funnel-plot–based method of testing and adjusting for publication bias in meta-analysis. Biometrics 56, 455–463 (2000). Google Scholar Stanley, T. D. & Doucouliagos, H. Meta-regression approximations to reduce publication selection bias. Res. Synth. Methods 5, 60–78 (2014). Google Scholar Viechtbauer, W. Conducting meta-analyses in R with the metafor package. J. Stat. Softw. 36, 1–48 (2010). Google Scholar Simonsohn, U., Nelson, L. D. & Simmons, J. P. p-curve and effect size: correcting for publication bias using only significant results. https://journals.sagepub.com/doi/full/10.1177/1745691614553988 (2014). Baujat, B., Mahé, C., Pignon, J. & Hill, C. A graphical method for exploring heterogeneity in meta-analyses: application to a meta-analysis of 65 trials. Stat. Med. 21, 2641–2652 (2002). Google Scholar Olkin, I., Dahabreh, I. J. & Trikalinos, T. A. GOSH: a graphical display of study heterogeneity. Res. Synth. Methods 3, 214–223 (2012). Google Scholar Cudeck, R. & Browne, M. W. Cross-validation of covariance structures. Multivar. Behav. Res. 18, 147–167 (1983). Google Scholar Hu, L. & Bentler, P. M. Cutoff criteria for fit indexes in covariance structure analysis: conventional criteria versus new alternatives. Struct. Equ. Model. Multidiscip. J. 6, 1–55 (1999). Google Scholar Cheung, M. W.-L. metaSEM: an R package for meta-analysis using structural equation modeling. Front. Psychol. 5, 1–7 (2015). Harrer, M., Cuijpers, P., Furukawa, T. & Ebert, D. Doing Meta-Analysis with R: A Hands-On Guide (Chapman and Hall/CRC, New York, 2021). https://doi.org/10.1201/9781003107347. Rosseel, Y. lavaan: An R Package for Structural Equation Modeling. J. Stat. Softw. 48, 1–36 (2012). Google Scholar Balduzzi, S., Rücker, G. & Schwarzer, G. How to perform a meta-analysis with R: a practical tutorial. BMJ Ment. Health 22, 153–160 (2019). Google Scholar Wickham, H. Programming with ggplot2. in ggplot2: Elegant Graphics for Data Analysis (ed Wickham, H.) 241–253 (Springer International Publishing, Cham, 2016). https://doi.org/10.1007/978-3-319-24277-4_12. Massicotte P., South A. rnaturalearth: World Map Data from Natural Earth (2025). R package version 1.1.0.9000, https://docs.ropensci.org/rnaturalearth/. Download references Acknowledgements This work was supported by the Swedish Research Council for Sustainable Development (FORMAS), grant number 2022-01871. We thank Nan Zhao for his help in various stages of this research. We thank Niklas Harring for discussions, Lisa Effenberg, Sorenza Guérin, Erik Hallberg, Jorge Alberto Elgueta Rodríguez, Isak Sandlund for their assistance. We thank the editors and anonymous reviewers for their constructive feedback, and the authors of the primary studies for sharing their data. Funding Open access funding provided by University of Gothenburg. Author information Authors and Affiliations Department of Psychology, University of Gothenburg, Gothenburg, Sweden Sofiia Skipor & Magnus Bergquist Authors Sofiia Skipor View author publications Search author on:PubMed Google Scholar Magnus Bergquist View author publications Search author on:PubMed Google Scholar Contributions S.S.: conceptualization, methodology, data curation, formal analyses, visualization, writing – original draft, review & editing. M.B.: conceptualization, methodology, resources, writing – review & editing, project administration, funding acquisition. Corresponding author Correspondence to Sofiia Skipor. Ethics declarations Competing interests The authors declare no competing interests. Peer review Peer review information Communications Earth and Environment thanks Berna Burçak Başbuğ Erkan, Ayse Yildiz and the other, anonymous, reviewer(s) for their contribution to the peer review of this work. Primary Handling Editors: Marie Claire Brisbois and Martina Grecequet. [A peer review file is available]. Additional information Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations. Supplementary information Transparent Peer Review file Supplementary Materials Rights and permissions Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. Reprints and permissions About this article Cite this article Skipor, S., Bergquist, M. Meta-analytic evidence identifies efficacy beliefs and social norms as key correlates of public emergency preparedness. Commun Earth Environ (2026). https://doi.org/10.1038/s43247-025-03151-x Download citation Received: 08 January 2025 Accepted: 18 December 2025 Published: 08 January 2026 DOI: https://doi.org/10.1038/s43247-025-03151-x Share this article Anyone you share the following link with will be able to read this content:Get shareable link Sorry, a shareable link is not currently available for this article. Copy shareable link to clipboard Provided by the Springer Nature SharedIt content-sharing initiative Subjects Climate-change adaptation Human behaviour Psychology and behaviour

    2026-01-08
  • Regis Resources has delivered a record quarterly cash and bullion build of $255 million for the December 2025 quarter, lifting its total balance to $930 million. This cash and bullion increase was achieved after the payment of $38 million in dividends during the quarter, highlighting Regis’ ability to generate strong margins while maintaining shareholder returns. Total group gold production for this quarter totalled 96,600 ounces, bringing Regis’ first half of the 2026 financial year (FY26) output to 186,900 ounces. Production remains in line with the company’s full-year guidance of 350-380 thousand ounces (koz), underpinned by stable performance across its Duketon and Tropicana operations. At Duketon, Regis produced 57,600 ounces in the December quarter, while Tropicana contributed a further 39,000 ounces. The strong result follows the company’s announcement that it will extend operations at its Duketon North gold project in Western Australia thanks to growth at the Buckingham and Wellington open pit mines. Regis added that the company will provide further details on its operational and financial performance, including all-in sustaining costs, with the release of its full December quarterly results on January 22. The company will also be hosting a quarterly results conference call at 11 am on the same day. Subscribe to Australian Mining and receive the latest news on product announcements, industry developments, commodities and more.

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