uri,href,identifier,attrs.Abstract,attrs.Author,attrs.DOI,attrs.Date,attrs.ISSN,attrs.Issue,attrs.Journal,attrs.Pages,attrs.Title,"attrs.Type of Article",attrs.Volume,attrs.Year,attrs._record_number,attrs._uuid,attrs.reftype,child_publication
/reference/e337db11-d5e9-4a9b-be9f-7773befd61b9,https://data.globalchange.gov/reference/e337db11-d5e9-4a9b-be9f-7773befd61b9,e337db11-d5e9-4a9b-be9f-7773befd61b9,"Heat waves have been linked to increased risk of mortality and morbidity, and are projected to increase in frequency and intensity in a changing climate. Houston and other areas in Texas experienced an exceptional heat wave in the summer of 2011 producing the hottest August on record. This study aims to assess the health-related impact of this heat wave.","Zhang, Kai; Chen, Tsun-Hsuan; Begley, Charles E.",10.1186/1476-069x-14-11,"January 27",1476-069X,1,"Environmental Health",11,"Impact of the 2011 heat wave on mortality and emergency department visits in Houston, Texas","journal article",14,2015,23248,e337db11-d5e9-4a9b-be9f-7773befd61b9,"Journal Article",/article/10.1186/1476-069x-14-11
/reference/e3ac668b-0cd6-40c6-afb5-2df1600ca96c,https://data.globalchange.gov/reference/e3ac668b-0cd6-40c6-afb5-2df1600ca96c,e3ac668b-0cd6-40c6-afb5-2df1600ca96c,,"Dinan, Terry",10.1016/j.ecolecon.2017.03.034,2017/08/01/,0921-8009,,"Ecological Economics",186-198,"Projected increases in hurricane damage in the United States: The role of climate change and coastal development",,138,2017,23085,e3ac668b-0cd6-40c6-afb5-2df1600ca96c,"Journal Article",/article/10.1016/j.ecolecon.2017.03.034
/reference/e57a7177-cf14-4499-9d13-73eeeaa0a89c,https://data.globalchange.gov/reference/e57a7177-cf14-4499-9d13-73eeeaa0a89c,e57a7177-cf14-4499-9d13-73eeeaa0a89c,,"NCAI,",,,,,,,"Policy Issues: Land & Natural Resources. Climate Change [web page]",,,2018,25913,e57a7177-cf14-4499-9d13-73eeeaa0a89c,"Web Page",/webpage/18b7434b-082d-4537-9958-cf9f6f77a9be
/reference/e8089a19-413e-4bc5-8c4a-7610399e268c,https://data.globalchange.gov/reference/e8089a19-413e-4bc5-8c4a-7610399e268c,e8089a19-413e-4bc5-8c4a-7610399e268c,,"Easterling, D.R.; J.R. Arnold; T. Knutson; K.E. Kunkel; A.N. LeGrande; L.R. Leung; R.S. Vose; D.E. Waliser; M.F. Wehner",10.7930/J0H993CC,,,,,207-230,"Precipitation Change in the United States",,,2017,21565,e8089a19-413e-4bc5-8c4a-7610399e268c,"Book Section",/report/climate-science-special-report/chapter/precipitation-change
/reference/e904b5f2-2c5e-4e55-8365-2ba748291939,https://data.globalchange.gov/reference/e904b5f2-2c5e-4e55-8365-2ba748291939,e904b5f2-2c5e-4e55-8365-2ba748291939,,"Estrada, Francisco; Botzen, W. J. Wouter; Tol, Richard S. J.",10.1038/nclimate3301,06//print,1758-678X,6,"Nature Climate Change",403-406,"A global economic assessment of city policies to reduce climate change impacts",Letter,7,2017,21835,e904b5f2-2c5e-4e55-8365-2ba748291939,"Journal Article",/article/10.1038/nclimate3301
/reference/eaf202cd-5f44-4e09-801c-25a616f73026,https://data.globalchange.gov/reference/eaf202cd-5f44-4e09-801c-25a616f73026,eaf202cd-5f44-4e09-801c-25a616f73026,,"Gulf Coast Prairie Landscape Conservation Cooperative,",,,,,,,"Conservation Planning Atlas [web tool]",,,2018,25798,eaf202cd-5f44-4e09-801c-25a616f73026,"Web Page",/webpage/2d07906a-c001-4601-929f-c511ff5250da
/reference/eb7f4bdb-a66f-43e3-8ac5-0488fad49139,https://data.globalchange.gov/reference/eb7f4bdb-a66f-43e3-8ac5-0488fad49139,eb7f4bdb-a66f-43e3-8ac5-0488fad49139,,"McManus, Gary",,,,,,,,,,2015,25806,eb7f4bdb-a66f-43e3-8ac5-0488fad49139,Blog,/webpage/bc142d82-580b-43a8-be7c-9e3216ffbf49
/reference/ecd31071-287c-4f05-9213-076b682db142,https://data.globalchange.gov/reference/ecd31071-287c-4f05-9213-076b682db142,ecd31071-287c-4f05-9213-076b682db142,"Epidemics of cholera have been frequent in southern Africa since the reintroduction of the disease to the continent in 1970. In late 1992, following a severe drought and an influx of refugees from Mozambique, cholera reappeared in Zimbabwe for the first time since 1985 and rapidly spread through the rural areas of the country. Data relating to symptomatic cholera infection collected during 2 large outbreaks on the eastern border of the country showed that host age and sex were important factors relating to symptomatic infection, as were population density and access to water. Epidemic profiles for the 2 study areas differed in that one of the profiles exhibited a distinct second phase epidemic. This unusual pattern was compared qualitatively with the output of a series of simple mathematical models to examine the contribution of different epidemiological processes to the pattern of disease observed. Model output suggested a complex disease process, in which the dynamics may have been influenced by spatial components. Statistical analysis of these unusual data showed that the observed pattern was independent of the effects of host age or sex, and provided compelling evidence of a marked spatial component of the second phase epidemic.","Bradley, M.; Shakespeare, R.; Ruwende, A.; Woolhouse, M. E. J.; Mason, E.; Munatsi, A.",10.1016/S0035-9203(96)90512-X,,0035-9203,4,"Transactions of The Royal Society of Tropical Medicine and Hygiene",378-382,"Epidemiological features of epidemic cholera (El Tor) in Zimbabwe",,90,1996,23239,ecd31071-287c-4f05-9213-076b682db142,"Journal Article",/article/10.1016/S0035-9203(96)90512-X
/reference/ed70fd44-147d-4ffa-ab1b-68451bd1d335,https://data.globalchange.gov/reference/ed70fd44-147d-4ffa-ab1b-68451bd1d335,ed70fd44-147d-4ffa-ab1b-68451bd1d335,"In the Southwest and Central Plains of Western North America, climate change is expected to increase drought severity in the coming decades. These regions nevertheless experienced extended Medieval-era droughts that were more persistent than any historical event, providing crucial targets in the paleoclimate record for benchmarking the severity of future drought risks. We use an empirical drought reconstruction and three soil moisture metrics from 17 state-of-the-art general circulation models to show that these models project significantly drier conditions in the later half of the 21st century compared to the 20th century and earlier paleoclimatic intervals. This desiccation is consistent across most of the models and moisture balance variables, indicating a coherent and robust drying response to warming despite the diversity of models and metrics analyzed. Notably, future drought risk will likely exceed even the driest centuries of the Medieval Climate Anomaly (1100–1300 CE) in both moderate (RCP 4.5) and high (RCP 8.5) future emissions scenarios, leading to unprecedented drought conditions during the last millennium.","Cook, Benjamin I.; Ault, Toby R.; Smerdon, Jason E.",10.1126/sciadv.1400082,,,1,"Science Advances",e1400082,"Unprecedented 21st century drought risk in the American Southwest and Central Plains",,1,2015,20415,ed70fd44-147d-4ffa-ab1b-68451bd1d335,"Journal Article",/article/10.1126/sciadv.1400082
/reference/eed25dbb-ae18-479d-8115-44840713b43c,https://data.globalchange.gov/reference/eed25dbb-ae18-479d-8115-44840713b43c,eed25dbb-ae18-479d-8115-44840713b43c,,"Steiner, Jean L.; Jeanne M. Schneider; Clay Pope; Sarah Pope; Paulette Ford; Rachel F. Steele ",,,,,,74,"Evaluación de vulnerabilidad de las llanuras meridionales y estrategias preliminares de adaptación y mitigación para agricultores, ganaderos y propietarios de tierras forestales",,,2015,25810,eed25dbb-ae18-479d-8115-44840713b43c,Report,/report/evaluacion-de-vulnerabilidad-de-las-llanuras-meridionales-y-estrategias-preliminares-de-adaptacion-y-mitigacion-para-agricultores-ganaderos-y-propietarios-de-tierras-forestales
/reference/f1380bfc-e39d-43d9-87d6-dfcff35fa7fb,https://data.globalchange.gov/reference/f1380bfc-e39d-43d9-87d6-dfcff35fa7fb,f1380bfc-e39d-43d9-87d6-dfcff35fa7fb,,"Moore, Georgianne W.; Edgar, Christopher B.; Vogel, Jason G.; Washington-Allen, Robert A.; March, Rosaleen G; Zehnder, Rebekah",10.1890/15-0330,,1939-5582,2,"Ecological Applications",602-611,"Tree mortality from an exceptional drought spanning mesic to semiarid ecoregions",,26,2016,19786,f1380bfc-e39d-43d9-87d6-dfcff35fa7fb,"Journal Article",/article/10.1890/15-0330
/reference/f18554bd-80a0-4dd9-af82-c223395fcd95,https://data.globalchange.gov/reference/f18554bd-80a0-4dd9-af82-c223395fcd95,f18554bd-80a0-4dd9-af82-c223395fcd95,"Managing for species using current weather patterns fails to incorporate the uncertainty associated with future climatic conditions; without incorporating potential changes in climate into conservation strategies, management and conservation efforts may fall short or waste valuable resources. Understanding the effects of climate change on species in the Great Plains of North America is especially important, as this region is projected to experience an increased magnitude of climate change. Of particular ecological and conservation interest is the lesser prairie‐chicken (Tympanuchus pallidicinctus), which was listed as “threatened” under the U.S. Endangered Species Act in May 2014. We used Bayesian hierarchical models to quantify the effects of extreme climatic events (extreme values of the Palmer Drought Severity Index [PDSI]) relative to intermediate (changes in El Niño Southern Oscillation) and long‐term climate variability (changes in the Pacific Decadal Oscillation) on trends in lesser prairie‐chicken abundance from 1981 to 2014. Our results indicate that lesser prairie‐chicken abundance on leks responded to environmental conditions of the year previous by positively responding to wet springs (high PDSI) and negatively to years with hot, dry summers (low PDSI), but had little response to variation in the El Niño Southern Oscillation and the Pacific Decadal Oscillation. Additionally, greater variation in abundance on leks was explained by variation in site relative to broad‐scale climatic indices. Consequently, lesser prairie‐chicken abundance on leks in Kansas is more strongly influenced by extreme drought events during summer than other climatic conditions, which may have negative consequences for the population as drought conditions intensify throughout the Great Plains.","Ross, Beth E.; Haukos, David; Hagen, Christian; Pitman, James",10.1002/ecs2.1323,,,6,Ecosphere,e01323,"The relative contribution of climate to changes in lesser prairie‐chicken abundance",,7,2016,25780,f18554bd-80a0-4dd9-af82-c223395fcd95,"Journal Article",/article/10.1002/ecs2.1323
/reference/f18978b9-1d12-4537-aec4-941d178c045c,https://data.globalchange.gov/reference/f18978b9-1d12-4537-aec4-941d178c045c,f18978b9-1d12-4537-aec4-941d178c045c,,"OWRB,",,,,,,,"The Oklahoma Comprehensive Water Plan",,,2012,25807,f18978b9-1d12-4537-aec4-941d178c045c,Report,/report/oklahoma-comprehensive-water-plan
/reference/f1e633d5-070a-4a7d-935b-a2281a0c9cb6,https://data.globalchange.gov/reference/f1e633d5-070a-4a7d-935b-a2281a0c9cb6,f1e633d5-070a-4a7d-935b-a2281a0c9cb6,,USGCRP,10.7930/J0R49NQX,,,,,,"The Impacts of Climate Change on Human Health in the United States: A Scientific Assessment",,,2016,19368,f1e633d5-070a-4a7d-935b-a2281a0c9cb6,Book,/report/usgcrp-climate-human-health-assessment-2016
/reference/f29b94d3-c885-4401-953e-f4f31556efee,https://data.globalchange.gov/reference/f29b94d3-c885-4401-953e-f4f31556efee,f29b94d3-c885-4401-953e-f4f31556efee,,,,,,,,,"18 Major Flood Events Have Hit Texas, Louisiana, Oklahoma, Arkansas Since March 2015",,,2016,25790,f29b94d3-c885-4401-953e-f4f31556efee,"Newspaper Article",/generic/af442852-240c-4001-b28c-34c6a03bba1e
/reference/f2bce905-3f9b-47a6-aae9-3b59d3d80e38,https://data.globalchange.gov/reference/f2bce905-3f9b-47a6-aae9-3b59d3d80e38,f2bce905-3f9b-47a6-aae9-3b59d3d80e38,,"Banner, Jay L.; Charles S. Jackson; Zong-Liang Yang; Katharine Hayhoe; Connie Woodhouse; Lindsey Gulden; Kathy Jacobs; Gerald North; Ruby Leung; Warren Washington; Xiaoyan Jiang; Richard Castell",,,2160-5319,1,"Texas Water Journal",1-19,"Climate change impacts on Texas water: A white paper assessment of the past, present and future and recommendations for action",,1,2010,23294,f2bce905-3f9b-47a6-aae9-3b59d3d80e38,"Journal Article",/article/climate-change-impacts-on-texas-water-white-paper-assessment-past-present-future-recommendations-action
/reference/f8225523-7ae9-4ab4-ac28-4cfafe1b508b,https://data.globalchange.gov/reference/f8225523-7ae9-4ab4-ac28-4cfafe1b508b,f8225523-7ae9-4ab4-ac28-4cfafe1b508b,,"Newkirk II, Vann R.",,,,,,,"""Hurricane Harvey’s public-health nightmare""",,,2017,23229,f8225523-7ae9-4ab4-ac28-4cfafe1b508b,"Electronic Article",/generic/92e3a55c-6ea8-4c46-9813-e8316c23270a
/reference/f94be101-daad-4c14-9a81-81dc9e8c71c0,https://data.globalchange.gov/reference/f94be101-daad-4c14-9a81-81dc9e8c71c0,f94be101-daad-4c14-9a81-81dc9e8c71c0,"Major changes are occurring with far reaching implications for the existing equilibria or disequilibria in the water-energy-food-environment interface. The increased demand of energy worldwide will reflect directly and indirectly on water-dependent systems. Direct implications will come from higher energy prices, which make extraction and conveyance of water more costly. Indirect implications will be in the form of demand for alternative energy sources. It triggers demand for hydropower and remains a major driver—along with some environmental policies—for biofuel expansion. The key question is how these effects may alter water allocation and influence food security, rural poverty and environmental sustainability. This paper sets the background and context of this special issue by highlighting some of the major water-related policy issues related to the subject and provides an overview and synthesis of the papers in this special issue. Besides offering insight into how these papers address these questions in the practical context of few selected countries and basins, this paper also indicates some key areas for future research on the subject.%U ; http://wp.iwaponline.com/content/ppiwawaterpol/10/S1/1.full.pdf","Hellegers, Petra; Zilberman, David; Steduto, Pasquale; McCornick, Peter",10.2166/wp.2008.048,,,S1,"Water Policy",1-10,"Interactions between water, energy, food and environment: Evolving perspectives and policy issues",,10,2008,23256,f94be101-daad-4c14-9a81-81dc9e8c71c0,"Journal Article",/article/10.2166/wp.2008.048
/reference/fad9e8ec-8951-4daa-9a9c-e093ef86af16,https://data.globalchange.gov/reference/fad9e8ec-8951-4daa-9a9c-e093ef86af16,fad9e8ec-8951-4daa-9a9c-e093ef86af16,"Episodes of severe weather in the United States, such as the present abundance of rainfall in California, are brandished as tangible evidence of the future costs of current climate trends. Hsiang et al. collected national data documenting the responses in six economic sectors to short-term weather fluctuations. These data were integrated with probabilistic distributions from a set of global climate models and used to estimate future costs during the remainder of this century across a range of scenarios (see the Perspective by Pizer). In terms of overall effects on gross domestic product, the authors predict negative impacts in the southern United States and positive impacts in some parts of the Pacific Northwest and New England.Science, this issue p. 1362; see also p. 1330Estimates of climate change damage are central to the design of climate policies. Here, we develop a flexible architecture for computing damages that integrates climate science, econometric analyses, and process models. We use this approach to construct spatially explicit, probabilistic, and empirically derived estimates of economic damage in the United States from climate change. The combined value of market and nonmarket damage across analyzed sectors—agriculture, crime, coastal storms, energy, human mortality, and labor—increases quadratically in global mean temperature, costing roughly 1.2% of gross domestic product per +1°C on average. Importantly, risk is distributed unequally across locations, generating a large transfer of value northward and westward that increases economic inequality. By the late 21st century, the poorest third of counties are projected to experience damages between 2 and 20% of county income (90% chance) under business-as-usual emissions (Representative Concentration Pathway 8.5).","Hsiang, Solomon; Kopp, Robert; Jina, Amir; Rising, James; Delgado, Michael; Mohan, Shashank; Rasmussen, D. J.; Muir-Wood, Robert; Wilson, Paul; Oppenheimer, Michael; Larsen, Kate; Houser, Trevor",10.1126/science.aal4369,,,6345,Science,1362-1369,"Estimating economic damage from climate change in the United States",,356,2017,23965,fad9e8ec-8951-4daa-9a9c-e093ef86af16,"Journal Article",/article/10.1126/science.aal4369
/reference/fbcfc7c8-d3b5-4812-a14f-d0c9f1267531,https://data.globalchange.gov/reference/fbcfc7c8-d3b5-4812-a14f-d0c9f1267531,fbcfc7c8-d3b5-4812-a14f-d0c9f1267531,,"Hawkes, Logan",,,,,,,,,,2016,23289,fbcfc7c8-d3b5-4812-a14f-d0c9f1267531,Blog,/webpage/f92f02b6-abbc-4dba-b112-a70954a58412
/reference/ff3fe7bf-7ec6-4ab8-be12-ff588c6ab892,https://data.globalchange.gov/reference/ff3fe7bf-7ec6-4ab8-be12-ff588c6ab892,ff3fe7bf-7ec6-4ab8-be12-ff588c6ab892,"The Southern High Plains is anticipated to experience significant changes in temperature and precipitation due to climate change. These changes may influence the lesser prairie-chicken (Tympanuchus pallidicinctus) in positive or negative ways. We assessed the potential changes in clutch size, incubation start date, and nest survival for lesser prairie-chickens for the years 2050 and 2080 based on modeled predictions of climate change and reproductive data for lesser prairie-chickens from 2001–2011 on the Southern High Plains of Texas and New Mexico. We developed 9 a priori models to assess the relationship between reproductive parameters and biologically relevant weather conditions. We selected weather variable(s) with the most model support and then obtained future predicted values from climatewizard.org. We conducted 1,000 simulations using each reproductive parameter’s linear equation obtained from regression calculations, and the future predicted value for each weather variable to predict future reproductive parameter values for lesser prairie-chickens. There was a high degree of model uncertainty for each reproductive value. Winter temperature had the greatest effect size for all three parameters, suggesting a negative relationship between above-average winter temperature and reproductive output. The above-average winter temperatures are correlated to La Niña events, which negatively affect lesser prairie-chickens through resulting drought conditions. By 2050 and 2080, nest survival was predicted to be below levels considered viable for population persistence; however, our assessment did not consider annual survival of adults, chick survival, or the positive benefit of habitat management and conservation, which may ultimately offset the potentially negative effect of drought on nest survival.","Grisham, Blake A.; Boal, Clint W.; Haukos, David A.; Davis, Dawn M.; Boydston, Kathy K.; Dixon, Charles; Heck, Willard R.",10.1371/journal.pone.0068225,,,7,"PLOS ONE",e68225,"The predicted influence of climate change on lesser prairie-chicken reproductive parameters",,8,2013,25785,ff3fe7bf-7ec6-4ab8-be12-ff588c6ab892,"Journal Article",/article/10.1371/journal.pone.0068225