Social‐Environmental Extremes: Rethinking Extraordinary Events as Outcomes of Interacting Biophysical and Social Systems
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Extreme droughts, heat waves, fires, hurricanes, floods, and landslides cause the largest losses in the United States, and globally, from natural hazards linked to weather and climate. There is evidence that the frequency of such extremes is increasing, particularly for heat waves, large fires, and intense precipitation, making better understanding of the probability and consequences of these events imperative. Further, these events are not isolated, but rather interact with each other and with other social and biophysical drivers and conditions, to amplify impacts. Less is known about the nature and strength of these interactions. Natural and social science subfields frame extreme events with different definitions and analytical approaches, often neglecting interactions and the subsequent novel extremes that can arise. Here we propose a framework for social‐environmental extremes, defined as extraordinary events that emerge from interactions among biophysical and social systems. We argue that this definition is critical because it constrains the focus to major events that are capturing societal and scientific attention because of their extreme biophysical drivers and/or the extreme social outcomes. We review how different fields approach extremes as interacting phenomena and propose a synthetic framework that allows analytical separation of the multiple drivers and responses that yield extreme events and extreme effects. We conclude with a future research agenda for understanding the extreme events that matter to society. This agenda will help to identify where, when, and why communities may have high exposure and vulnerability to social‐environmental extremes—informing future mitigation and adaptation strategies.
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Compound effects of catastrophic wildfires, water supply vulnerabilities, and ecological, social, and economic stresses can cascade towards socio-hydrosystem collapse.
“Effective WWR governance must also account for the compound effects of catastrophic wildfires, water supply vulnerabilities, and ecological, social, and economic stresses that can cascade towards socio‐hydrosystem collapse (Figure 3) (Balch et al., 2020; United Nations Office for Disaster Risk Reduction, 2019; van Asselt & Renn, 2011).”
From Scientists' warning on extreme wildfire risks to water supply (2021) · cites this paper as Balch et al., 2020
Section 4.2 describes interacting hazards, including wildfires that trigger floods and debris flows, and says interactions with social vulnerability can amplify impacts. The paper also describes multihazard cascades that create risk. It does not establish that the specified combination of wildfire, water-supply vulnerability, and ecological, social, and economic stresses can lead to socio-hydrosystem collapse. (LLM, conf=0.85)
Experimental — accuracy not yet measuredUrban water supply is increasingly vulnerable to disruption caused by wildfires.
“Hence, urban water supply is increasingly vulnerable to disruption caused by wildfires (Balch et al., 2020; Keys et al., 2019) (Box 2).”
From Scientists' warning on extreme wildfire risks to water supply (2021) · cites this paper as Balch et al., 2020
Section 6, ‘A Future Research Agenda for Studying Social-Environmental Extremes’ (page unavailable), discusses increasing exposure of homes to drought and wildfire, not disruption of urban water supply. Searches for ‘water supply,’ ‘urban water,’ and wildfire-related water infrastructure found no passage in our copy addressing the claimed vulnerability. (LLM, conf=0.74)
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Cites
Dependence Modeling with Copulas
Joe, H. (2014) · doi:10.1201/b17116 · Cited by 1,566 · see citing works
A Project for Monitoring Trends in Burn Severity
Eidenshink, J., Schwind, B., Brewer, K., Zhu, Z.-L., Quayle, B., & Howard, S. (2007) · Fire Ecology · doi:10.4996/fireecology.0301003 · Cited by 1,423 · see citing works
Learning to coexist with wildfire
Moritz, M. A., Batllori, E., Bradstock, R. A., Gill, A. M., Handmer, J., Hessburg, P. F., Leonard, J., McCaffrey, S., Odion, D. C., Schoennagel, T., et al. (2014) · Nature · doi:10.1038/nature13946 · Cited by 1,169 · see citing works
Attribution of extreme weather and climate‐related events
Stott, P. A., Christidis, N., Otto, F. E. L., Sun, Y., Vanderlinden, J., van Oldenborgh, G. J., Vautard, R., von Storch, H., Walton, P., Yiou, P., et al. (2016) · WIREs Climate Change · doi:10.1002/wcc.380 · Cited by 781 · see citing works
Twentieth-century hydroclimate changes consistent with human influence
Marvel, K., Cook, B. I., Bonfils, C. J. W., Durack, P. J., Smerdon, J. E., & Williams, A. P. (2019) · Nature · doi:10.1038/s41586-019-1149-8 · Cited by 317 · see citing works
Examining fire-prone forest landscapes as coupled human and natural systems
Spies, T. A., White, E. M., Kline, J. D., Fischer, A. P., Ager, A., Bailey, J., Bolte, J., Koch, J., Platt, E., Olsen, C. S., et al. (2014) · Ecology and Society · doi:10.5751/es-06584-190309 · Cited by 186 · see citing works
Incidence and recurrence of large forest fires in mainland Portugal
Ferreira-Leite, F., Bento-Gonçalves, A., Vieira, A., Nunes, A., & Lourenço, L. (2016) · Natural Hazards · doi:10.1007/s11069-016-2474-y · Cited by 44 · see citing works
Flagged first, then by citations
Research works printed but not linked: 157
- Abatzoglou, J. T. (2013). Development of gridded surface meteorological data for ecological applications and modelling. International Journal of Climatology, 33(1), 121-131. https://doi.org/10.1002/joc.3413 · DOI
- Adger, W. N. (2006). Vulnerability. Global Environmental Change, 16(3), 268-281. https://doi.org/10.1016/j.gloenvcha.2006.02.006 · DOI · Paper page
- AghaKouchak, A., Huning, L. S., Mazdiyasni, O., Mallakpour, I., Chiang, F., Sadegh, M., et al. (2018). How do natural hazards cascade to cause disasters? Nature, 561(7724), 458-460. https://doi.org/10.1038/d41586-018-06783-6 · DOI · Paper page
- Alberti, M., Asbjornsen, H., Baker, L. A., Brozovic, N., Drinkwater, L. E., Drzyzga, S. A., et al. (2011). Research on coupled human and natural systems (CHANS): Approach, challenges, and strategies. The Bulletin of the Ecological Society of America, 92(2), 218-228. https:// doi.org/10.1890/0012-9623-92.2.218 · DOI
- Aslan, A., Autin, W. J., & Blum, M. D. (2005). Causes of river avulsion: Insights from the Late Holocene avulsion history of the Mississippi River, U.S.A. Journal of Sedimentary Research, 75(4), 650-664. https://doi.org/10.2110/jsr.2005.053 · DOI
- Aven, T., & Krohn, B. S. (2014). A new perspective on how to understand, assess and manage risk and the unforeseen. Reliability Engineering and System Safety, 121, 1-10. https://doi.org/10.1016/j.ress.2013.07.005 10.1029/2019EF001319 Earth's Future · DOI
- Avissar, R., & Werth, D. (2005). Global hydroclimatological teleconnections resulting from tropical deforestation. Journal of Hydrometeorology, 6(2), 134-145. https://doi.org/10.1175/JHM406. · DOI
- Bagley, J. E., Desai, A. R., Harding, K. J., Snyder, P. K., & Foley, J. A. (2013). Drought and deforestation: Has land cover change influenced recent precipitation extremes in the Amazon? Journal of Climate, 27(1), 345-361. https://doi.org/10.1175/JCLI-D-12-00369. · DOI
- Bagley, J. E., Desai, A. R., Harding, K. J., Snyder, P. K., & Foley, J. A. (2014). Drought and Deforestation: Has Land Cover Change Influenced Recent Precipitation Extremes in the Amazon? Journal of Climate, 27(1), 345-361. https://doi.org/10.1175/jcli-d-12-00369. · DOI
- Bak, P., & Paczuski, M. (1995). Complexity, contingency and criticality. Proceedings of the National Academy of Sciences of the United States of America, 92, 6689-6696. https://doi.org/10.1073/pnas.92.15.6689 · DOI
- Balch, J. K., Schoennagel, T., Williams, A., Abatzoglou, J., Cattau, M., Mietkiewicz, N., & St. Denis, L. (2018). Switching on the Big Burn of 2017. Firehouse, 1(1), 17. https://doi.org/10.3390/fire1010017 · DOI · Paper page
- Barriopedro, D., Fischer, E. M., Luterbacher, J., Trigo, R. M., & García-Herrera, R. (2011). The Hot Summer of 2010: Redrawing the tem- perature record map of Europe. Science, 332(6026), 220. https://doi.org/10.1126/science.1201224 · DOI · Paper page
- Barthel, F., & Neumayer, E. (2012). A trend analysis of normalized insured damage from natural disasters. Climatic Change, 113(2), 215-237. https://doi.org/10.1007/s10584-011-0331-2 · DOI
- In P. T. Bobrowsky (Ed.), Encyclopedia of natural hazards, (pp. 508-516). Dordrecht: Springer Netherlands.
- Behnen, K., Hušková, M., & Neuhaus, G. (1985). Rank estimators of scores for testing independence. Statistics & Risk Modeling, 3(3-4), 239-262. https://doi.org/10.1524/strm.1985.3.34.239 · DOI
- Bendix, J., & Cowell, C. M. (2010). Fire, floods and woody debris: Interactions between biotic and geomorphic processes. Geomorphology, 116(3-4), 297-304. https://doi.org/10.1016/j.geomorph.2009.09.043 · DOI
- Bier, V. M., Haimes, Y. Y., Lambert, J. H., Matalas, N. C., & Zimmerman, R. (1999). A survey of approaches for assessing and managing the risk of extremes. Risk Analysis, 19(1), 83-94. https://doi.org/10.1111/j.1539-6924.1999.tb00391.x · DOI
- Blum, M. D., & Roberts, H. H. (2014). Is sand in the Mississippi River delta a sustainable resource? Nature Geoscience, 7, 851-852. https:// doi.org/10.1038/ngeo2310 · DOI
- Boose, E. R., Serrano, M. I., & Foster, D. R. (2004). Landscape and regional impacts of hurricanes in Puerto Rico. Ecological Monographs, 74(2), 335-352. https://doi.org/10.1890/02-4057 · DOI
- Bracken, C., Rajagopalan, B., Cheng, L., Kleiber, W., & Gangopadhyay, S. (2016). Spatial Bayesian hierarchical modeling of precipitation extremes over a large domain. Water Resources Research, 52, 6643-6655. https://doi.org/10.1002/2016WR018768 · DOI
- Buckland, M. K. (2019). What is a megafire? Defining the social and physical dimensions of extreme U.S. wildfires (1988-2014) (Masters Thesis). Boulder, CO: University of Colorado Boulder.
- Burton, I., Kates, R. W., & White, G. F. (1978). Chapter 2: Hazard, response, and choice. In The environment as hazard (pp. 19-52). New York, NY: Oxford University Press.
- Cannon, S. H., Gartner, J. E., Wilson, R. C., Bowers, J. C., & Laber, J. L. (2008). Storm rainfall conditions for floods and debris flows from recently burned areas in southwestern Colorado and southern California. Geomorphology, 96(3-4), 250-269. https://doi.org/10.1016/j. geomorph.2007.03.019 · DOI
- Carpenter, S. R., Arrow, K. J., Barrett, S., Biggs, R., Brock, W. A., Crépin, A. S., et al. (2012). General resilience to cope with extreme events. Sustainability, 4(12), 3248-3259. https://doi.org/10.3390/su4123248 · DOI
- Carreau, J., & Vrac, M. (2011). Stochastic downscaling of precipitation with neural network conditional mixture models. Water Resources Research, 47, W10502. https://doi.org/10.1029/2010WR010128 · DOI
- Changnon, S. A. (1998). The historical struggle with floods on the Mississippi River basin: Impacts of recent floods and lessons for future flood management and policy. Water International, 23(4), 263-271. https://doi.org/10.1080/02508069808686781 · DOI
- Chavez-Demoulin, V., & Davison, A. C. (2005). Generalized additive modelling of sample extremes. Journal of the Royal Statistical Society. Series C, Applied Statistics, 54(1), 207-222. https://doi.org/10.1111/j.1467-9876.2005.00479.x · DOI
- Cheng, L., AghaKouchak, A., Gilleland, E., & Katz, R. W. (2014). Non-stationary extreme value analysis in a changing climate. Climatic Change, 127(2), 353-369. https://doi.org/10.1007/s10584-014-1,254-5 · DOI
- Coleman, J. M., Roberts, H. H., & Stone, G. W. (1998). Mississippi River Delta: An overview. Journal of Coastal Research, 14(3), 698-716.
- Collins, B. D., Dickerson-Lange, S. E., Schanz, S., & Harrington, S. (2019). Differentiating the effects of logging, river engineering, and hydropower dams on flooding in the Skokomish River, Washington, USA. Geomorphology, 332, 138-156. https://doi.org/10.1016/j. geomorph.2019.01.021 · DOI
- Collins, S. L., Carpenter, S. R., Swinton, S. M., Orenstein, D. E., Childers, D. L., Gragson, T. L., et al. (2011). An integrated conceptual framework for long-term social-ecological research. Frontiers in Ecology and the Environment, 9(6), 351-357. https://doi.org/10.1890/ 100068 · DOI
- Colten, C. (2009). Perilous place, powerful storms: Hurricane protection in coastal Louisiana (pp. 1-192). Jackson, MS: University Press of Mississippi. Retrieved from http://www.upress.state.ms.us/books/1696
- Comissão Técnica Independente (2017). Análise E Apuramento de Factos Relativos Aos Incêndios Que Ocorreram Em Pedrogão Grande. Castanheira de Pera, Ansião, Alvaiázere, Figueiró Dos Vinhos, Arganil, Góis, Penela, Pampilhosa Da Serra, Oleiros E Sertã, Entre 17 (pp. 1-182). Lisboa: Assambleia da Republica. Committee on Lessons Learned from the Fukushima Nuclear Accident for Improving Safety and Security of U.S. Nuclear Plants (2014). Lessons learned from the Fukushima nuclear accident for improving safety of U.S. nuclear plants. Washington, DC: National Academies Press.
- Crausbay, S. D., Ramirez, A. R., Carter, S. L., Cross, M. S., Hall, K. R., Bathke, D. J., et al. (2017). Defining ecological drought for the twenty-first century. Bulletin of the American Meteorological Society, 98(12), 2543-2550. https://doi.org/10.1175/BAMS-D-16-0292. · DOI
- Criss, R. E., & Shock, E. L. (2001). Flood enhancement through flood control. Geology, 29(10), 875-878. https://doi.org/10.1130/0091- 7613(2001)?029<0875:FETFC>?2. · DOI
- CO Cutter, S. L. (2018). Compound, cascading, or complex disasters: What's in a name? Environment: Science and Policy for Sustainable Development, 60(6), 16-25. https://doi.org/10.1080/00139157.2018.1517518 · DOI
- Cutter, S. L., Boruff, B. J., & Shirley, W. L. (2003). Social vulnerability to environmental hazards. Social Science Quarterly, 84(2), 242-261. https://doi.org/10.1111/1540-6237.8402002 · DOI
- Davies, I. P., Haugo, R. D., Robertson, J. C., & Levin, P. S. (2018). The unequal vulnerability of communities of color to wildfire. PLoS ONE, 13(11), 1-15. 10.1371/journal.pone.0205825 10.1029/2019EF001319 Earth's Future · DOI · Paper page
- Davies, R., Foulger, G., Bindley, A., & Styles, P. (2013). Induced seismicity and hydraulic fracturing for the recovery of hydrocarbons. Marine and Petroleum Geology, 45, 171-185. https://doi.org/10.1016/j.marpetgeo.2013.03.016 · DOI
- Day, J. W., Britsch, L. D., Hawes, S. R., Shaffer, G. P., Reed, D. J., & Cahoon, D. (2000). Pattern and process of land loss in the Mississippi Delta: A spatial and temporal analysis of wetland habitat change. Estuaries, 23(4), 425-438. https://doi.org/10.2307/1353136 · DOI
- Depietri, Y., & McPhearson, T. (2018). Changing urban risk: 140 years of climatic hazards in New York City. Climatic Change, 148(1), 95-108. 10.1007/s10584-018-2,194-2 · DOI
- Di Baldassarre, G., Viglione, A., Carr, G., Kuil, L., Yan, K., Brandimarte, L., & Blöschl, G. (2015). Debates-Perspectives on socio- hydrology: Capturing feedbacks between physical and social processes. Water Resources Research, 51, 4770-4781. https://doi.org/ 10.1002/2014WR016416 · DOI
- Di Clemente, A., & Romano C. (2004). Measuring and Optimizing Portfolio Credit Risk: A Copula-based Approach*. Economic Notes, 33(3), 325-357. https://doi.org/10.1111/j.0391-5026.2004.00135.x · DOI
- Dole, R., Hoerling, M., Perlwitz, J., Eischeid, J., Pegion, P., Zhang, T., et al. (2011). Was there a basis for anticipating the 2010 Russian heat wave? Geophysical Research Letters, 38. https://doi.org/10.1029/2010GL046582 · DOI
- Dowdy, A. J., & Catto, J. L. (2017). Extreme weather caused by concurrent cyclone, front and thunderstorm occurrences. Scientific Reports, 7, 40359. https://doi.org/10.1038/srep40359 · DOI
- Durante, F., & Salvadori, G. (2010). On the construction of multivariate extreme value models via copulas. Environmetrics, 21(2), 143-161. https://doi.org/10.1002/env.988 · DOI
- Fan, X., Scaringi, G., Korup, O., West, A. J., van Westen, C. J., Tanyas, H., et al. (2019). Earthquake-induced chains of geologic hazards: Patterns, mechanisms, and impacts. Reviews of Geophysics, 57, 421-503. https://doi.org/10.1029/2018RG000626 · DOI
- Fatichi, S., Vivoni, E. R., Ogden, F. L., Ivanov, V. Y., Mirus, B., Gochis, D., et al. (2016). An overview of current applications, challenges, and future trends in distributed process-based models in hydrology. Journal of Hydrology, 537, 45-60. https://doi.org/10.1016/j. jhydrol.2016.03.026 · DOI
- Federal Emergency Management Agency (2013). National Mitigation Framework (pp. 1-44). Washington, DC: United States. Department of Homeland Security. Retrieved from https://www.hsdl.org/?view&did=793548
- Ficklin, D. L., & Novick, K. A. (2017). Historic and projected changes in vapor pressure deficit suggest a continental-scale drying of the United States atmosphere. Journal of Geophysical Research: Atmospheres, 122, 2061-2079. https://doi.org/10.1002/2016JD025855 · DOI
- Forzieri, G., Feyen, L., Russo, S., Vousdoukas, M., Alfieri, L., Outten, S., et al. (2016). Multi-hazard assessment in Europe under climate change. Climatic Change, 137(1-2), 105-119. https://doi.org/10.1007/s10584-016-1661-x · DOI
- Franklin, J. L., Pasch, R. J., Avila, L. A., Beven, J. L., Lawrence, M. B., Stewart, S. R., & Blake, E. S. (2006). Atlantic hurricane season of 2004. Monthly Weather Review, 134(3), 981-1025. https://doi.org/10.1175/MWR3096. · DOI
- Franzke, C. (2012). Predictability of extreme events in a nonlinear stochastic-dynamical model. Physical Review E, 85, 031134. https://doi. org/10.1103/PhysRevE.85.031134 · DOI
- Freudenburg, W. R., Gramling, R., Laska, S., & Erikson, K. T. (2008). Organizing hazards, engineering disasters? Improving the recognition of political-economic factors in the creation of disasters. Social Forces, 87(2), 1015-1038. https://doi.org/10.1353/sof.0.0126 · DOI
- Gallina, V., Torresan, S., Critto, A., Sperotto, A., Glade, T., & Marcomini, A. (2016). A review of multi-risk methodologies for natural hazards: Consequences and challenges for a climate change impact assessment. Journal of Environmental Management, 168, 123-132. https://doi.org/10.1016/j.jenvman.2015.11.011 · DOI
- Gasparrini, A., & Armstrong, B. (2011). The impact of heat waves on mortality. Epidemiology (Cambridge, Mass.), 22(1), 68-73. https://doi. org/10.1097/EDE.0b013e3181fdcd99 · DOI
- Gauthier, S., Bernier, P., Kuuluvainen, T., Shvidenko, A. Z., & Schepaschenko, D. G. (2015, 6250). Boreal forest health and global change. Science, 349, 819-822. https://doi.org/10.1126/science.aaa9092 · DOI · Paper page
- Gedan, K. B., Kirwan, M. L., Wolanski, E., Barbier, E. B., & Silliman, B. R. (2011). The present and future role of coastal wetland vegetation in protecting shorelines: Answering recent challenges to the paradigm. Climatic Change, 106(1), 7-29. https://doi.org/10.1007/s10584- 010-0003-7 · DOI
- Gill, J. C., & Malamud, B. D. (2014). Reviewing and visualizing the interactions of natural hazards. Reviews of Geophysics, 52, 680-722. https://doi.org/10.1002/2013RG000437 · DOI
- Gill, J. C., & Malamud, B. D. (2017). Anthropogenic processes, natural hazards, and interactions in a multi-hazard framework. Earth- Science Reviews, 166, 246-269. https://doi.org/10.1016/j.earscirev.2017.01.002 · DOI
- Gregory, K. J. (2006). The human role in changing river channels. Geomorphology, 79(3-4), 172-191. https://doi.org/10.1016/j. geomorph.2006.06.018 · DOI
- Grimm, N. B., Pickett, S. T. A., Hale, R. L., & Cadenasso, M. L. (2017). Does the ecological concept of disturbance have utility in urban social-ecological-technological systems? Ecosystem Health and Sustainability, 3(1), e01255. https://doi.org/10.1002/ehs2.1255 · DOI
- Harris, R. M. B., Beaumont, L. J., Vance, T. R., Tozer, C. R., Remenyi, T. A., Perkins-Kirkpatrick, S. E., et al. (2018). Biological responses to the press and pulse of climate trends and extreme events. Nature Climate Change, 8(7), 579-587. https://doi.org/10.1038/s41558-018- 0187-9 · DOI
- Herring, S. C., Christidis, N., Hoell, A., Kossin, J. P., Schreck, C. J., & Stott P. A. (2018). Explaining Extreme Events of 2016 from a Climate Perspective. Bulletin of the American Meteorological Society, 99(1), S1-S157. https://doi.org/10.1175/bams- explainingextremeevents2016. · DOI
- Hewitt, K., Burton, I., & Saarinen, T. F. (1971). Hazardousness of a place: a regional ecology of damaging events. Geographical Review, 63. https://doi.org/10.2307/213252 · DOI
- Hirota, M., Holmgren, M., Van Nes, E. H., & Scheffer, M. (2011). Global resilience of tropical forest and savanna to critical transitions. Science, 334(6053), 232-235. https://doi.org/10.1126/science.1210657 · DOI
- Hu, T., & Smith, R. B. (2018). The impact of Hurricane Maria on the vegetation of Dominica and Puerto Rico using multispectral remote sensing. Remote Sensing, 10(6), 827. https://doi.org/10.3390/rs10060827 · DOI
- Huser, R., & Davison, A. C. (2014). Space-time modeling of extreme events. Journal of the Royal Statistical Society, Series B: Statistical Methodology, 76(2), 439-461. 10.1111/rssb.12035 · DOI
- C. B. Field, V. Barros, T. F. Stocker, D. Qin, D. J. Dokken, & K. L. Ebi (Eds.), Special report of the Intergovernmental Panel on Climate Change. Cambridge: Cambridge University Press. 10.1029/2019EF001319 Earth's Future
- Joseph, M. B. (2020). Neural hierarchical models of ecological populations. Ecology Letters, 23. https://doi.org/10.1111/ele.13462 · DOI
- Joseph, M. B., Rossi, M. W., Mietkiewicz, N. P., Mahood, A. L., Cattau, M. E., St Denis, L. A., et al. (2019). Spatiotemporal prediction of wildfire size extremes with Bayesian finite sample maxima. Ecological Applications: A Publication of the Ecological Society of America, 29, e01898. https://doi.org/10.1002/eap.1898 · DOI
- Kappes, M. S., Keiler, M., von Elverfeldt, K., & Glade, T. (2012). Challenges of analyzing multi-hazard risk: A review. Natural Hazards, 64(2), 1925-1958. https://doi.org/10.1007/s11069-012-0294-2 · DOI
- Kates, R. W. (1971). Natural hazard in human ecological perspective: Hypotheses and models. Economic Geography, 47(3), 438-451. https://doi.org/10.2307/142820 · DOI
- Kates, R. W., Colten, C. E., Laska, S., & Leatherman, S. P. (2006). Reconstruction of New Orleans after Hurricane Katrina: A research perspective. Proceedings of the National Academy of Sciences, 103(40), 14,653-14,660. https://doi.org/10.1073/pnas.0605726103 · DOI
- Kesel, R. H. (2003). Human modifications to the sediment regime of the Lower Mississippi River flood plain. Floodplains: Environment and Process, 56(3), 325-334. https://doi.org/10.1016/S0169-555X(03)00159-4 · DOI
- Kirwan, M. L., Murray, A. B., Donnelly, J. P., & Corbett, D. R. (2011). Rapid wetland expansion during European settlement and its implication for marsh survival under modern sediment delivery rates. Geology, 39(5), 507-510. https://doi.org/10.1130/G31789. · DOI
- Kishore, N., Marqués, D., Mahmud, A., Kiang, M. V., Rodriguez, I., Fuller, A., et al. (2018). Mortality in Puerto Rico after Hurricane Maria. New England Journal of Medicine, 379(2), 162-170. https://doi.org/10.1056/NEJMsa1803972 · DOI
- Klinenberg, E. (2003). Heat waves: A social autopsy of disaster in Chicago (Vol. 1, pp. 1-328). Chicago, IL: University of Chicago Press. Retrieved from https://www.press.uchicago.edu/ucp/books/book/chicago/H/bo20809880.html
- Ko, J.-Y., & Day, J. W. (2004). A review of ecological impacts of oil and gas development on coastal ecosystems in the Mississippi Delta. Integrated Coastal Management in the Gulf of Mexico Large Marine Ecosystem, 47(11), 597-623. https://doi.org/10.1016/j. ocecoaman.2004.12.004 · DOI
- Kreibich, H., Van Den Bergh, J. C. J. M., Bouwer, L. M., Bubeck, P., Ciavola, P., Green, C., et al. (2014). Costing natural hazards. Nature Climate Change, 4(5), 303-306. https://doi.org/10.1038/nclimate2182 · DOI
- Landsea, C. W., & Franklin, J. L. (2013). Atlantic hurricane database uncertainty and presentation of a new database format. Monthly Weather Review, 141(10), 3576-3592. https://doi.org/10.1175/MWR-D-12-00254. · DOI
- Lee, J. C., & McCormick, N. J. (2012). Risk and safety analysis of nuclear systems. Newark, NJ: John Wiley & Sons.
- Lenton, T. M. (2013). Environmental tipping points. Annual Review of Environment and Resources, 38(1), 1-29. https://doi.org/10.1146/ annurev-environ-102511-084654 · DOI
- Leonard, M., Westra, S., Phatak, A., Lambert, M., van den Hurk, B., Mcinnes, K., et al. (2014). A compound event framework for under- standing extreme impacts. Wiley Interdisciplinary Reviews: Climate Change, 5. https://doi.org/10.1002/wcc.252 · DOI
- Leyk, S., & Uhl, J. H. (2018). HISDAC-US, historical settlement data compilation for the conterminous United States over 200 years. Scientific Data, 5, 180175. https://doi.org/10.1038/sdata.2018.175 · DOI
- Linn, R. R., & Cunningham, P. (2005). Numerical simulations of grass fires using a coupled atmosphere-fire model: Basic fire behavior and dependence on wind speed. Journal of Geophysical Research, 110, D13107. https://doi.org/10.1029/2004JD005597 · DOI
- Liu, J., Dietz, T., Carpenter, S. R., Folke, C. S., Alberti, M., Charles, L., et al. (2007). Coupled human and natural systems. Ambio, 36(8), 639-649. https://doi.org/10.1579/0044-7447(2007)36 · DOI
- Lopez-Paz, D., Hernández-Lobato, J. M., & Zoubin, G. (2013). Gaussian process vine copulas for multivariate dependence. In S. Dasgupta, & D. McAllester (Eds.), Proceedings of the 30th International Conference on Machine Learning (Vol. 28, pp. 10-18). Atlanta, Georgia, USA: PMLR. Retrieved from http://proceedings.mlr.press/v28/lopez-paz13.html
- McLeman, R. A., Dupre, J., Berrang Ford, L., Ford, J., Gajewski, K., & Marchildon, G. (2014). What we learned from the Dust Bowl: Lessons in science, policy, and adaptation. Population and Environment, 35(4), 417-440. https://doi.org/10.1007/s11111-013-0190-z · DOI
- Mcphillips, L. E., Chang, H., Chester, M. V., Depietri, Y., Friedman, E., Grimm, N. B., et al. (2018). Defining extreme events: A cross-disciplinary review. Earth's Future, 6, 1-15. https://doi.org/10.1002/eft2.304 · DOI
- Meade, R. H., & Moody, J. A. (2010). Causes for the decline of suspended-sediment discharge in the Mississippi River system, 1940-2007. Hydrological Processes, 24(1), 35-49. https://doi.org/10.1002/hyp.7477 · DOI
- Meyer, V., Becker, N., Markantonis, V., Schwarze, R., van den Bergh, J. C. J. M., Bouwer, L. M., et al. (2013). Review article: Assessing the costs of natural hazards-State of the art and knowledge gaps. Natural Hazards and Earth System Sciences, 13(5), 1351-1373. https://doi. org/10.5194/nhess-13-1351-2013 · DOI
- Montz, B. E., & Tobin, G. A. (2008). Livin' large with levees: Lessons learned and lost. Natural Hazards Review, 9(3), 150-157. https://doi. org/10.1061/(ASCE)1527-6988(2008)9:3(150) · DOI
- Moody, J. A., Shakesby, R. A., Robichaud, P. R., Cannon, S. H., & Martin, D. A. (2013). Current research issues related to post-wildfire runoff and erosion processes. Earth-Science Reviews, 122, 10-37. https://doi.org/10.1016/j.earscirev.2013.03.004 · DOI · Paper page
- Morton, R. A., Bernier, J. C., & Barras, J. A. (2006). Evidence of regional subsidence and associated interior wetland loss induced by hydrocarbon production, Gulf Coast region, USA. Environmental Geology, 50(2), 261. https://doi.org/10.1007/s00254-006-0207-3 · DOI
- Neri, M., Lanzafame, G., & Acocella, V. (2008). Dyke emplacement and related hazard in volcanoes with sector collapse: The 2007 Stromboli (Italy) eruption. Journal of the Geological Society, 165(5), 883-886. https://doi.org/10.1144/0016-76492008-002 · DOI
- Nittrouer, J. A., & Viparelli, E. (2014). Sand as a stable and sustainable resource for nourishing the Mississippi River delta. Nature Geoscience, 7, 350. https://doi.org/10.1038/ngeo2142 · DOI
- Nones, M., & Pescaroli, G. (2016). Implications of cascading effects for the EU Floods Directive. International Journal of River Basin Management, 14(2), 195-204. https://doi.org/10.1080/15715124.2016.1149074 · DOI
- Nordhaus, W. D. (2011). The economics of tail events with an application to climate change. Review of Environmental Economics and Policy, 5(2), 240-257. https://doi.org/10.1093/reep/rer004 · DOI
- Padoan, S. A., & Wand, M. P. (2008). Mixed model-based additive models for sample extremes. Statistics & Probability Letters, 78(17), 2850-2858. https://doi.org/10.1016/j.spl.2008.04.009 10.1029/2019EF001319 Earth's Future · DOI
- Paté-Cornell, E. (2012). On "black swans" and "perfect storms": Risk analysis and management when statistics are not enough. Risk Analysis, 32(11), 1823-1833. https://doi.org/10.1111/j.1539-6924.2011.01787.x · DOI
- Peduzzi, P., Dao, H., Herold, C., & Mouton, F. (2009). Assessing global exposure and vulnerability toward natural hazards: The Disaster Risk Index. Natural Hazards and Earth System Sciences, 9(4), 1,149-1,159. 10.5194/nhess-9-1,149-2009 · DOI
- Pindyck, R. S. (2011). Fat tails, thin tails, and climate change policy. Review of Environmental Economics and Policy, 5(2), 258-274. https:// doi.org/10.1093/reep/rer005 · DOI
- Pulver, S., Ulibarri, N., Sobocinski, K. L., Alexander, S. M., Johnson, M. L., McCord, P. F., & Dell'Angelo, J. (2018). Frontiers in socio-environmental research: Components, connections, scale, and context. Ecology and Society, 23(3). https://doi.org/10.5751/ES-10280-230323 · DOI
- Ram, M., & Singh, S. (2009). Analysis of reliability characteristics of a complex engineering system under copula. Journal of Reliability and Statistical Studies, 2(1), 91-102.
- Rego, F. C., & Silva, J. S. (2014). Wildfires and landscape dynamics in Portugal: A regional assessment and global implications. In J. C. Azevedo, A. H. Perera, & M. A. Pinto (Eds.), Forest landscapes and global change: Challenges for research and management, (pp. 51-73). New York, NY: Springer New York.
- Renard, B., & Lang, M. (2007). Use of a Gaussian copula for multivariate extreme value analysis: some case studies in hydrology. Advances in Water Resources, 30(4), 897-912. https://doi.org/10.1016/j.advwatres.2006.08.001 · DOI
- Sadegh, M., Ragno, E., & AghaKouchak, A. (2017). Multivariate Copula Analysis Toolbox (MvCAT): Describing dependence and under- lying uncertainty using a Bayesian framework. Water Resources Research, 53, 5166-5183. https://doi.org/10.1002/2016WR020242 · DOI
- Salas, J. D., & Obeysekera, J. (2014). Revisiting the concepts of return period and risk for nonstationary hydrologic extreme events. Journal of Hydrologic Engineering, 19(3), 554-568. https://doi.org/10.1061/(ASCE)HE.1943-5584.0000820 · DOI
- Scheffer, M., Bascompte, J., Brock, W. A., Brovkin, V., Carpenter, S. R., Dakos, V., et al. (2009). Early-warning signals for critical transitions. Nature, 461(7260), 53-59. https://doi.org/10.1038/nature08227 · DOI · Paper page
- Scheffer, M., & Carpenter, S. R. (2003). Catastrophic regime shifts in ecosystems: Linking theory to observation. Trends in Ecology & Evolution, 18(12), 648-656. https://doi.org/10.1016/j.tree.2003.09.002 · DOI
- Schoennagel, T., Balch, J. K., Brenkert-Smith, H., Dennison, P. E., Harvey, B. J., Krawchuk, M. A., et al. (2017). Adapt to more wildfire in western North American forests as climate changes. Proceedings of the National Academy of Sciences, 114(18), 4582-4590. https://doi. org/10.1073/pnas.1617464114 · DOI · Paper page
- Shaposhnikov, D., Revich, B., Bellander, T., Bedada, G. B., Bottai, M., Kharkova, T., et al. (2014). Mortality related to air pollution with the Moscow heat wave and wildfire of 2010. Epidemiology (Cambridge, Mass.), 25(3), 359-364. https://doi.org/10.1097/ EDE.0000000000000090 · DOI
- Sharkey, P. (2007). Survival and Death in New Orleans: An Empirical Look at the Human Impact of Katrina. Journal of Black Studies, 37(4), 482-501. https://doi.org/10.1177/0021934706296188 · DOI
- Sharma, A. S., Baker, D. N., Bhattacharyya, A., Bunde, A., Dimri, V. P., & Gupta, H. K. (2013). Complexity and extreme events in geos- ciences: An overview. In A. S. Sharma, A. Bunde, V. P. Dimri, & D. N. Baker (Eds.), Extreme events and natural hazards: The complexity perspective (pp. 1-16). Washington, DC: American Geophysical Union.
- Shimodaira, H. (2000). Improving predictive inference under covariate shift by weighting the log-likelihood function. Journal of Statistical Planning and Inference, 90(2), 227-244. https://doi.org/10.1016/S0378-3758(00)00115-4 · DOI · Paper page
- Slater, L. J., Singer, M. B., & Kirchner, J. W. (2015). Hydrologic versus geomorphic drivers of trends in flood hazard. Geophysical Research Letters, 42, 370-376. https://doi.org/10.1002/2014GL062482 · DOI
- U.S. Billion-dollar Weather and Climate Disasters, 1980 -present (NCEI Accession 0209268). NOAA National Centers for Environmental Information. Dataset. https://doi.org/10.25921/stkw-7w73. Accessed July, 2019. · DOI
- Smith, A. B., & Katz, R. W. (2013). US billion-dollar weather and climate disasters: Data sources, trends, accuracy and biases. Natural Hazards, 67(2), 387-410. https://doi.org/10.1007/s11069-013-0566-5 · DOI
- Smith, M. D. (2011). An ecological perspective on extreme climatic events: A synthetic definition and framework to guide future research. Journal of Ecology, 99, 656-663. https://doi.org/10.1111/j.1365-2745.2011.01798.x · DOI
- Sornette, D. (2009). Dragon-kings, black swans and the prediction of crises. International Journal of Terraspace Science and Engineering, 2(1), 1-18.
- Staal, A., Tuinenburg, O. A., Bosmans, J. H. C., Holmgren, M., van Nes, E. H., Scheffer, M., et al. (2018). Forest-rainfall cascades buffer against drought across the Amazon. Nature Climate Change, 8(6), 539-543. https://doi.org/10.1038/s41558-018-0177-y · DOI · Paper page
- Staley, D. M., Wasklewicz, T. A., & Blaszczynski, J. S. (2005). Surficial patterns of debris flow deposition on alluvial fans in Death Valley, CA using airborne laser swath mapping data. Geomorphology, 74(1-4), 152-163. https://doi.org/10.1016/j.geomorph.2005.07.014 · DOI
- Steffen, W., Richardson, K., Rockström, J., Cornell, S. E., Fetzer, I., Bennett, E. M., et al. (2015). Planetary boundaries: Guiding human development on a changing planet. Science, 347(6223), 1259855. https://doi.org/10.1126/science.1259855 · DOI · Paper page
- Stephen, B., Galloway, S. J., McMillan, D., Hill, D. C., & Infield, D. G. (2010). A copula model of wind turbine performance. IEEE Transactions on Power Systems, 26(2), 965-966. https://doi.org/10.1109/TPWRS.2010.2073550 · DOI
- Suding, K. N., & Hobbs, R. J. (2009). Threshold models in restoration and conservation: A developing framework. Trends in Ecology & Evolution, 24(5), 271-279. https://doi.org/10.1016/j.tree.2008.11.012 · DOI
- Syvitski, J. P. M., Vörösmarty, C. J., Kettner, A. J., & Green, P. (2005). Impact of humans on the flux of terrestrial sediment to the global coastal ocean. Science, 308(5720), 376. https://doi.org/10.1126/science.1109454 · DOI
- Tedim, F., Leone, V., Amraoui, M., Bouillon, C., Coughlan, M. R., Delogu, G. M., et al. (2018). Defining extreme wildfire events: Difficulties, challenges, and impacts. Firehouse, 1(9). https://doi.org/10.3390/fire1010009 10.1029/2019EF001319 Earth's Future · DOI
- Tessler, Z. D., Vörösmarty, C. J., Grossberg, M., Gladkova, I., Aizenman, H., Syvitski, J. P. M., & Foufoula-Georgiou, E. (2015). Profiling risk and sustainability in coastal deltas of the world. Science, 349(6248), 638. https://doi.org/10.1126/science.aab3574 · DOI
- Törnqvist, T. E., Bick, S. J., van der Borg, K., & de Jong, A. F. M. (2006). How stable is the Mississippi Delta? Geology, 34(8), 697-700. https:// doi.org/10.1130/G22624. · DOI
- Turner, B. L., Kasperson, R. E., Matson, P. A., McCarthy, J. J., Corell, R. W., Christensen, L., et al. (2003). A framework for vulnerability analysis in sustainability science. Proceedings of the National Academy of Sciences, 100(14), 8074-8079. https://doi.org/10.1073/ pnas.1231335100 · DOI
- Turner, B. L., Matson, P. A., McCarthy, J. J., Corell, R. W., Christensen, L., Eckley, N., et al. (2003). Illustrating the coupled human-environment system for vulnerability analysis: Three case studies. Proceedings of the National Academy of Sciences, 100(14), 8080-8085. https://doi.org/10.1073/pnas.1231334100 · DOI
- Turner, R. E. (1997). Wetland loss in the Northern Gulf of Mexico: Multiple working hypotheses. Estuaries, 20(1), 1-13. https://doi.org/ 10.2307/1352716 · DOI
- U.S. Nuclear Regulatory Commission (1975). Reactor safety study. An assessment of accident risks in U. S. commercial nuclear power plants. In Executive Summary. WASH-1400 (NUREG-75/014) (p. 198). Washington, DC: U.S. Nuclear Regulatory Commission. United Nations International Strategy for Disaster Reduction (UNISDR) (2015). Sendai Framework for Disaster Risk Reduction 2015-2030 (pp. 1-25). Sendai: United Nations.
- Uriarte, M., Thompson, J., & Zimmerman, J. K. (2019). Hurricane María tripled stem breaks and doubled tree mortality relative to other major storms. Nature Communications, 10(1), 1362. https://doi.org/10.1038/s41467-019-09319-2 · DOI
- Van Beusekom, A., Álvarez-Berríos, N., Gould, W., Quiñones, M., & González, G. (2018). Hurricane María in the US Caribbean: Disturbance forces, variation of effects, and implications for future storms. Remote Sensing, 10(9), 1386. https://doi.org/10.3390/ rs10091386 · DOI
- Van Coppenolle, R., Schwarz, C., & Temmerman, S. (2018). Contribution of mangroves and salt marshes to nature-based mitigation of coastal flood risks in major deltas of the world. Estuaries and Coasts, 41(6), 1699-1711. https://doi.org/10.1007/s12237-018-0394-7 · DOI
- Verburg, P. H., Dearing, J. A., Dyke, J. G., van der Leeuw, S., Seitzinger, S., Steffen, W., & Syvitski J. (2016). Methods and approaches to modelling the Anthropocene. Global Environmental Change, 39, 328-340. https://doi.org/10.1016/j.gloenvcha.2015.08.007 · DOI
- Viegas, D. X., Almeida, M. F., Ribeiro, L. M., Raposo, J., Viegas, M. T, Oliveira, R., et al. (2017). In O complexo de incêndios de Pedrógão Grande e concelhos limítrofes, iniciado a 17 de junho de 2017 (1 ed., pp. 1-238). Coimbra: Centro de Estudos Sobre Incêndios Florestais, ADAI/LAETA,Departamento de Engenharia Mecânica, Faculdade de Ciências e Tecnologia, Universidade de Coimbra. https://cdn. cmjornal.pt/files/2017-12/2017-12-07_15_54.38_Relat_rio_fogos_Xavier_Viegas_aaa.pdf
- Vogel, M. M., Zscheischler, J., Wartenburger, R., Dee, D., & Seneviratne, S. I. (2019). Concurrent 2018 hot extremes across Northern Hemisphere due to human-induced climate change. Earth's Future, 7, 692-703. https://doi.org/10.1029/2019EF001189 · DOI
- Wahl, T., Jain, S., Bender, J., Meyers, S. D., & Luther, M. E. (2015). Increasing risk of compound flooding from storm surge and rainfall for major US cities. Nature Climate Change, 5(12), 1093-1097. https://doi.org/10.1038/nclimate2736 · DOI
- Wahl, T., Plant, N. G., & Long, J. W. (2016). Probabilistic assessment of erosion and flooding risk in the northern Gulf of Mexico. Journal of Geophysical Research: Oceans, 121, 3029-3043. https://doi.org/10.1002/2015JC011482 · DOI
- Walker, H. J., Coleman, J. M., Roberts, H. H., & Tye, R. S. (1987). Wetland loss in Louisiana. Geografiska Annaler. Series A, Physical Geography, 69(1), 189-200. https://doi.org/10.1080/04353676.1987.11880207 · DOI
- Walter, R. C., & Merritts, D. J. (2008). Natural streams and the legacy of water-powered mills. Science, 319(5861), 299-304. https://doi.org/ 10.1126/science.1151716 · DOI · Paper page
- Weinkle, J. (2019). Experts, regulatory capture, and the "governor's dilemma": The politics of hurricane risk science and insurance. Regulation & Governance. https://doi.org/10.1111/rego.12255 · DOI
- Weinkle, J. (2019b). The new political importance of the old hurricane risk: A contextual approach to understanding contemporary struggles with hurricane risk and insurance. Journal of Risk Research, 22(3), 320-333. https://doi.org/10.1080/13669877.2017.1378250 · DOI
- Weitzman, M. L. (2011). Fat-tailed uncertainty in the economics of catastrophic climate change. Review of Environmental Economics and Policy, 275-292. https://doi.org/10.1093/reep/rer006 · DOI
- Werner, B., & Mcnamara, D. E. (2007). Dynamics of coupled human-landscape systems. Geomorphology, 91(3-4), 393-407. https://doi.org/ 10.1016/j.geomorph.2007.04.020 · DOI
- Westerling, A. L. (2016). Increasing western US forest wildfire activity: Sensitivity to changes in the timing of spring. Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences, 371(1696). https://doi.org/10.1098/rstb.2015.0178 · DOI · Paper page
- Weston, N. B. (2014). Declining sediments and rising seas: An unfortunate convergence for tidal wetlands. Estuaries and Coasts, 37(1), 1-23. https://doi.org/10.1007/s12237-013-9654-8 · DOI
- Wheatley, S., Sovacool, B., & Sornette, D. (2017). Of disasters and dragon kings: A statistical analysis of nuclear power incidents and accidents. Risk Analysis, 37(1), 99-115. https://doi.org/10.1111/risa.12587 · DOI
- Woolhiser, D. A. (1996). Search for physically based runoff model-A hydrologic El Dorado? Journal of Hydraulic Engineering, 122(3), 122-129. https://doi.org/10.1061/(ASCE)0733-9429(1996)122:3(122) · DOI
- M. Grooten, & R. E. A. Almond (Eds.), Living planet report 2018: Aiming higher. Switzerland: Gland. Retrieved from http://www.livingplanetindex.org
- Zektser, S., Loáiciga, H. A., & Wolf, J. (2005). Environmental impacts of groundwater overdraft: Selected case studies in the southwestern United States. Environmental Geology, 47(3), 396-404. https://doi.org/10.1007/s00254-004-1164-3 · DOI
- Zimmer, D. M. (2012). The role of copulas in the housing crisis. The Review of Economics and Statistics, 94(2), 607-620. https://doi.org/ 10.1162/REST_a_00172 · DOI
- Zscheischler, J., & Seneviratne, S. I. (2017). Dependence of drivers affects risks associated with compound events. Science Advances, 3(6), e1700263. https://doi.org/10.1126/sciadv.1700263 · DOI
- Zscheischler, J., Westra, S., Van Den Hurk, B. J. J. M., Seneviratne, S. I., Ward, P. J., Pitman, A., et al. (2018). Future climate risk from compound events. Nature Climate Change, 8(6), 469-477. https://doi.org/10.1038/s41558-018-0156-3 10.1029/2019EF001319 Earth's Future · DOI · Paper page
Cited by
Sorted by citations
Scientists' warning on extreme wildfire risks to water supply
Robinne, F., Hallema, D. W., Bladon, K. D., Flannigan, M. D., Boisramé, G., Bréthaut, C. M., Doerr, S. H., Di Baldassarre, G., Gallagher, L. A., Hohner, A. K., et al. (2021) · Hydrological Processes · doi:10.1002/hyp.14086 · Cited by 135 · see citing works
“Hence, urban water supply is increasingly vulnerable to disruption caused by wildfires (Balch et al., 2020; Keys et al., 2019) WWR is inherently systemic (Deere et al., 2017): fire is a source of socio-hydrological extreme, whereby the dynamic interactions and dependencies between upstream source…”
Background
- Authors
- Balch, J. K., Iglesias, V., Braswell, A. E., Rossi, M. W., Joseph, M. B., Mahood, A. L., Shrum, T. R., White, C. T., Scholl, V. M., McGuire, B., Karban, C., Buckland, M., & Travis, W. R.
- Affiliations
- Cooperative Institute for Research in Environmental Sciences (US)
- University of Vermont (US)
- Institute of Arctic and Alpine Research (US)
- University of Colorado Boulder (US)
- Corresponding author
- Balch, Jennifer K.
- ORCID
- Venue
- Earth's Future
- Publisher
- American Geophysical Union (AGU)
- Published
- 2020-07
- Volume
- 8
- Issue
- 7
- ISSN
- 2328-4277 (ISSN-L)
- OpenAlex
- W2966475814
- Cited by
- 71
- References
- 7
- Citations by year
- 2026: 8 · 2025: 4 · 2024: 13 · 2023: 17 · 2022: 12 · 2021: 16 · 2020: 1
- FWCI
- 15.38
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Earth s Future (publishedVersion, cc-by-nc)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- NOAA Institutional Repository (submittedVersion, cc-by-nc)
- Funders
- State Key Laboratory of Earth Surface Processes and Resource Ecology
- Topics
- Social Sciences › Sociology and Political Science › Disaster Management and Resilience
- Physical Sciences › Environmental Science › Global and Planetary Change › Sustainability and Climate Change Governance
- Physical Sciences › Environmental Science › Global and Planetary Change › Climate variability and models
- Keywords
- extreme events, natural hazards, heat waves, drought, forest fires, floods, hurricanes, landslides, heavy rainfall, climate change, exposure and vulnerability
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