uri,href,identifier,attrs.Abstract,attrs.Author,attrs.DOI,attrs.Date,attrs.ISSN,attrs.Issue,attrs.Journal,"attrs.Name of Database",attrs.Notes,attrs.Pages,attrs.Publisher,attrs.Title,attrs.Volume,attrs.Year,attrs._record_number,attrs._uuid,attrs.reftype,child_publication
/reference/bf8a32a2-44fc-47d5-8987-28e173bcdb65,https://data.globalchange.gov/reference/bf8a32a2-44fc-47d5-8987-28e173bcdb65,bf8a32a2-44fc-47d5-8987-28e173bcdb65,"In 1992, a large outbreak of bloody diarrhea caused by Escherichia coli O157 infections occurred in southern Africa. In Swaziland, 40,912 physician visits for diarrhea in persons ages >5 years were reported during October through November 1992. This was a sevenfold increase over the same period during 1990-91. The attack rate was 42% among 778 residents we surveyed. Female gender and consuming beef and untreated water were significant risks for illness. E. coli O157:NM was recovered from seven affected foci in Swaziland and South Africa; 27 of 31 patient and environmental isolates had indistinguishable pulsed-field gel electrophoresis patterns. Compared with previous years, a fivefold increase in cattle deaths occurred in October 1992. The first heavy rains fell that same month (36 mm), following 3 months of drought. Drought, carriage of E. coli O157 by cattle, and heavy rains with contamination of surface water appear to be important factors contributing to this outbreak.","Effler, E.; Isaäcson, M.; Arntzen, L.; Heenan, R.; Canter, P.; Barrett, T.; Lee, L.; Mambo, C.; Levine, W.; Zaidi, A.; Griffin, P. M.",10.3201/eid0705.017507,Sep-Oct,"1080-6040
1080-6059",5,"Emerging Infectious Diseases",PMC,"11747693[pmid]
Emerg Infect Dis",812-819,"Centers for Disease Control","Factors contributing to the emergence of Escherichia coli O157 in Africa",7,2001,23241,bf8a32a2-44fc-47d5-8987-28e173bcdb65,"Journal Article",/article/10.3201/eid0705.017507
/reference/c1cd03d9-d9dc-4251-a762-841fb9c17a92,https://data.globalchange.gov/reference/c1cd03d9-d9dc-4251-a762-841fb9c17a92,c1cd03d9-d9dc-4251-a762-841fb9c17a92,"Groundwater pumping for agriculture is a major driver causing declines of global freshwater ecosystems, yet the ecological consequences for stream fish assemblages are rarely quantified. We combined retrospective (1950–2010) and prospective (2011–2060) modeling approaches within a multiscale framework to predict change in Great Plains stream fish assemblages associated with groundwater pumping from the United States High Plains Aquifer. We modeled the relationship between the length of stream receiving water from the High Plains Aquifer and the occurrence of fishes characteristic of small and large streams in the western Great Plains at a regional scale and for six subwatersheds nested within the region. Water development at the regional scale was associated with construction of 154 barriers that fragment stream habitats, increased depth to groundwater and loss of 558 km of stream, and transformation of fish assemblage structure from dominance by large-stream to small-stream fishes. Scaling down to subwatersheds revealed consistent transformations in fish assemblage structure among western subwatersheds with increasing depths to groundwater. Although transformations occurred in the absence of barriers, barriers along mainstem rivers isolate depauperate western fish assemblages from relatively intact eastern fish assemblages. Projections to 2060 indicate loss of an additional 286 km of stream across the region, as well as continued replacement of large-stream fishes by small-stream fishes where groundwater pumping has increased depth to groundwater. Our work illustrates the shrinking of streams and homogenization of Great Plains stream fish assemblages related to groundwater pumping, and we predict similar transformations worldwide where local and regional aquifer depletions occur.","Perkin, Joshuah S.; Gido, Keith B.; Falke, Jeffrey A.; Fausch, Kurt D.; Crockett, Harry; Johnson, Eric R.; Sanderson, John",10.1073/pnas.1618936114,"July 11, 2017",,28,"Proceedings of the National Academy of Sciences of the United States of America",,,7373-7378,,"Groundwater declines are linked to changes in Great Plains stream fish assemblages",114,2017,23222,c1cd03d9-d9dc-4251-a762-841fb9c17a92,"Journal Article",/article/10.1073/pnas.1618936114
/reference/c3b02b08-e555-4a41-8a73-8b04dc89ee6b,https://data.globalchange.gov/reference/c3b02b08-e555-4a41-8a73-8b04dc89ee6b,c3b02b08-e555-4a41-8a73-8b04dc89ee6b,,"National Fish Wildlife and Plants Climate Adaptation Partnership,",10.3996/082012-FWSReport-1,,,,,,,120,,"National Fish, Wildlife and Plants Climate Adaptation Strategy",,2012,4243,c3b02b08-e555-4a41-8a73-8b04dc89ee6b,Report,/report/fws-nfwpcas-2012
/reference/c5ee6e52-3526-4fdf-95fe-326a0ed8bff2,https://data.globalchange.gov/reference/c5ee6e52-3526-4fdf-95fe-326a0ed8bff2,c5ee6e52-3526-4fdf-95fe-326a0ed8bff2,,"St. Juliana, Alexis; Vogel, Jason",,,,,,,,109-120,"Kresge Foundation and Abt Associates","Kay Bailey Hutchison Inland desalination facility",,2016,23285,c5ee6e52-3526-4fdf-95fe-326a0ed8bff2,"Book Section",/report/climate-adaptation-state-practice-us-communities
/reference/c66bf5a9-a6d7-4043-ad99-db0ae6ae562c,https://data.globalchange.gov/reference/c66bf5a9-a6d7-4043-ad99-db0ae6ae562c,c66bf5a9-a6d7-4043-ad99-db0ae6ae562c,,"Sweet, W.V.; R.E. Kopp; C.P. Weaver; J. Obeysekera; R.M. Horton; E.R. Thieler; C. Zervas ",,,,,,,,75,"National Oceanic and Atmospheric Administration, National Ocean Service","Global and Regional Sea Level Rise Scenarios for the United States",,2017,20608,c66bf5a9-a6d7-4043-ad99-db0ae6ae562c,Report,/report/global-regional-sea-level-rise-scenarios-united-states
/reference/c6bbdca8-9aa4-4288-8fbe-383ca982cf8f,https://data.globalchange.gov/reference/c6bbdca8-9aa4-4288-8fbe-383ca982cf8f,c6bbdca8-9aa4-4288-8fbe-383ca982cf8f,,"Kinniburgh, Fiona; Mary Greer Simonton; Candice Allouch",,,,,,,,109,,"Come heat and high water: Climate risk in the Southeastern U.S. and Texas",,2015,24446,c6bbdca8-9aa4-4288-8fbe-383ca982cf8f,Report,/report/come-heat-high-water-climate-risk-southeastern-us-texas
/reference/c87bb268-f370-4025-bb46-b4b7c4904ad6,https://data.globalchange.gov/reference/c87bb268-f370-4025-bb46-b4b7c4904ad6,c87bb268-f370-4025-bb46-b4b7c4904ad6,,"Taylor, R.G.
Scanlon, B.
Döll, P.
Rodell, M.
van Beek, R.
Wada, Y.
Longuevergne, L.
Leblanc, M.
Famiglietti, J.S.
Edmunds, M.
Konikow, Leonard
Green, Timothy R.
Chen, Jianyao
Taniguchi, Makoto
Bierkens, Marc F. P.
MacDonald, Alan
Fan, Ying
Maxwell, Reed M.
Yechieli, Yossi
Gurdak, Jason J.
Allen, Diana M.
Shamsudduha, Mohammad
Hiscock, Kevin
Yeh, Pat J.-F.
Holman, Ian
Treidel, Holger",10.1038/nclimate1744,,,4,"Nature Climate Change",,,322-329,,"Ground water and climate change",3,2013,3018,c87bb268-f370-4025-bb46-b4b7c4904ad6,"Journal Article",/article/10.1038/nclimate1744
/reference/ca37b8ae-5f68-4565-9263-16d686e44304,https://data.globalchange.gov/reference/ca37b8ae-5f68-4565-9263-16d686e44304,ca37b8ae-5f68-4565-9263-16d686e44304,,"Subedee, Mukesh; Marissa Dotson; James Gibeaut ",,,,,,,,1,,"Investigating the environmental and socioeconomic impacts of sea level rise in the Galveston Bay, Texas region [poster]",,2016,25912,ca37b8ae-5f68-4565-9263-16d686e44304,Report,/report/investigating-environmental-socioeconomic-impacts-sea-level-rise-galveston-bay-texas-region-poster
/reference/cab7314b-94fb-4c64-9b32-f1d71ac8f6a2,https://data.globalchange.gov/reference/cab7314b-94fb-4c64-9b32-f1d71ac8f6a2,cab7314b-94fb-4c64-9b32-f1d71ac8f6a2,,"Yang, Y. C. Ethan; Wi, Sungwook; Ray, Patrick A.; Brown, Casey M.; Khalil, Abedalrazq F.",10.1016/j.gloenvcha.2016.01.002,3//,0959-3780,,"Global Environmental Change",,,16-30,,"The future nexus of the Brahmaputra River Basin: Climate, water, energy and food trajectories",37,2016,23249,cab7314b-94fb-4c64-9b32-f1d71ac8f6a2,"Journal Article",/article/10.1016/j.gloenvcha.2016.01.002
/reference/ccb2721f-8a6b-4701-93d2-0b8e4caefb9d,https://data.globalchange.gov/reference/ccb2721f-8a6b-4701-93d2-0b8e4caefb9d,ccb2721f-8a6b-4701-93d2-0b8e4caefb9d,"Projections of greater interannual and intrannual climate variability, including increasing temperatures, longer and more intense drought periods, and more extreme precipitation events, present growing challenges for agricultural production in the Southern Plains of the USA. We assess agricultural vulnerabilities within this region to support identification and development of adaptation strategies at regional to local scales, where many management decisions are made. Exposure to the synergistic effects of warming, such as fewer and more intense precipitation events and greater overall weather variability, will uniquely affect rain-fed and irrigated cropping, high-value specialty crops, extensive and intensive livestock production, and forestry. Although the sensitivities of various agricultural sectors to climatic stressors can be difficult to identify at regional scales, we summarize that crops irrigated from the Ogallala aquifer possess a high sensitivity; rangeland beef cattle production a low sensitivity; and rain-fed crops, forestry, and specialty crops intermediate sensitivities. Numerous adaptation strategies have been identified, including drought contingency planning, increased soil health, improved forecasts and associated decision support tools, and implementation of policies and financial instruments for risk management. However, the extent to which these strategies are adopted is variable and influenced by both biophysical and socioeconomic considerations. Inadequate local- and regional-scale climate risk and resilience information suggests that climate vulnerability research and climate adaptation approaches need to include bottom-up approaches such as learning networks and peer-to-peer communication.","Steiner, Jean L.; Briske, David D.; Brown, David P.; Rottler, Caitlin M.",10.1007/s10584-017-1965-5,"April 13",1573-1480,,"Climatic Change",,,1-18,,"Vulnerability of Southern Plains agriculture to climate change","Open access",2017,23215,ccb2721f-8a6b-4701-93d2-0b8e4caefb9d,"Journal Article",/article/10.1007/s10584-017-1965-5
/reference/ccf54d0c-c24a-4945-9859-aab46cb3fb4f,https://data.globalchange.gov/reference/ccf54d0c-c24a-4945-9859-aab46cb3fb4f,ccf54d0c-c24a-4945-9859-aab46cb3fb4f,,"Shubert, R. Alan",,,,,,,,18,,"Overview of the El Paso Kay Bailey Hutchison Desalination Plant",,2015,26289,ccf54d0c-c24a-4945-9859-aab46cb3fb4f,Report,/report/overview-el-paso-kay-bailey-hutchison-desalination-plant
/reference/cd2583fe-45fb-4cb7-8b5b-d2a93561bd25,https://data.globalchange.gov/reference/cd2583fe-45fb-4cb7-8b5b-d2a93561bd25,cd2583fe-45fb-4cb7-8b5b-d2a93561bd25,,"Hayden, Michael",,,,,,,,31,,"The Changing Face of Kansas [Wheat State Whirlwind Tour presentation]",,2011,25794,cd2583fe-45fb-4cb7-8b5b-d2a93561bd25,Report,/report/changing-face-kansas-wheat-state-whirlwind-tour-presentation
/reference/cd48b775-3afc-4b54-afb9-13410b440acf,https://data.globalchange.gov/reference/cd48b775-3afc-4b54-afb9-13410b440acf,cd48b775-3afc-4b54-afb9-13410b440acf,,"THA,",,,,,,,,8,,"Texas Hospital Association Hurricane Harvey Analysis: Texas Hospitals’ Preparation Strategies and Priorities for Future Disaster Response",,2018,25308,cd48b775-3afc-4b54-afb9-13410b440acf,Report,/report/texas-hospital-association-hurricane-harvey-analysis-texas-hospitals-preparation-strategies-priorities-future-disaster-response
/reference/ced0fb8f-109f-42c3-b22b-04633e361444,https://data.globalchange.gov/reference/ced0fb8f-109f-42c3-b22b-04633e361444,ced0fb8f-109f-42c3-b22b-04633e361444,,"Loeffler, Cindy",10.1061/9780784479162.231,"May 17–21, 2015",,,,,,2350-2359,"American Society of Civil Engineers","A brief history of environmental flows in Texas",,2015,23287,ced0fb8f-109f-42c3-b22b-04633e361444,"Conference Paper",/generic/3e076c55-f571-4192-bda1-5c895723fa07
/reference/cf3204ae-c58a-43cb-8a90-acffd92bd661,https://data.globalchange.gov/reference/cf3204ae-c58a-43cb-8a90-acffd92bd661,cf3204ae-c58a-43cb-8a90-acffd92bd661,,,,,,,,,,,,"The dam called Trouble",,2015,23280,cf3204ae-c58a-43cb-8a90-acffd92bd661,"Newspaper Article",/generic/29eb914b-918b-4680-b006-ac0d1284d452
/reference/d3cfeb46-ecbd-4e44-b9b5-735d3e827f50,https://data.globalchange.gov/reference/d3cfeb46-ecbd-4e44-b9b5-735d3e827f50,d3cfeb46-ecbd-4e44-b9b5-735d3e827f50,"In response to legislative directives beginning in 1975, the Texas Water Development Board (TWDB) and the Texas Parks and Wildlife Department (TPWD) jointly established and currently maintain a data collection and analytical study program focused on determining the effects of and needs for freshwater inflows into the state's 10 bay and estuary systems. Study elements include hydrographic surveys, hydrodynamic modeling of circulation and salinity patterns, sediment analyses, nutrient analyses, fisheries analyses, freshwater inflow optimization modeling, and verification of needs. For determining the needs, statistical regression models are developed among freshwater inflows, salinities, and coastal fisheries. Results from the models and analyses are placed into the Texas Estuarine Mathematical Programming (TxEMP) model, along with information on salinity viability limits, nutrient budgets, fishery biomass ratios, and inflow bounds. The numerical relationships are solved within the constraints and limits, and optimized to meet state management objectives for maintenance of biological productivity and overall ecological health. Solution curves from the TxEMP model are verified by TWDB’s hydrodynamic simulation of estuarine circulation and salinity structure, which is evaluated against TPWD’s analysis of species abundance and distribution patterns in each bay and estuary system. An adequate system-wide match initially verifies the inflow solution. Long-term monitoring is recommended in order to verify that implementation of future water management strategies maintain ecological health of the estuaries and to provide an early warning of needs for adaptive management strategies.","Powell, Gary L.; Matsumoto, Junji; Brock, David A.",10.1007/bf02692223,"December 01",0160-8347,6,Estuaries,,,1262-1274,,"Methods for determining minimum freshwater inflow needs of Texas bays and estuaries",25,2002,25781,d3cfeb46-ecbd-4e44-b9b5-735d3e827f50,"Journal Article",/article/10.1007/bf02692223
/reference/d3fa1193-49ca-4afb-a81b-86ca52211610,https://data.globalchange.gov/reference/d3fa1193-49ca-4afb-a81b-86ca52211610,d3fa1193-49ca-4afb-a81b-86ca52211610,,"Sailor, David J.",10.1016/j.buildenv.2014.04.012,2014/08/01/,0360-1323,,"Building and Environment",,,81-88,,"Risks of summertime extreme thermal conditions in buildings as a result of climate change and exacerbation of urban heat islands",78,2014,23274,d3fa1193-49ca-4afb-a81b-86ca52211610,"Journal Article",/article/10.1016/j.buildenv.2014.04.012
/reference/d69692d1-8998-41db-a361-9486715eb9d9,https://data.globalchange.gov/reference/d69692d1-8998-41db-a361-9486715eb9d9,d69692d1-8998-41db-a361-9486715eb9d9,,"Bradbury, James; Allen, Melissa; Dell, Rebecca",,,,,,,,18,,"Climate Change and Energy Infrastructure Exposure to Storm Surge and Sea-Level Rise",,2015,23283,d69692d1-8998-41db-a361-9486715eb9d9,Report,/report/climate-change-energy-infrastructure-exposure-storm-surge-sea-level-rise
/reference/d6e250e8-afd8-445b-b6a3-b5252bb1ef55,https://data.globalchange.gov/reference/d6e250e8-afd8-445b-b6a3-b5252bb1ef55,d6e250e8-afd8-445b-b6a3-b5252bb1ef55,,"Wilkins, David E.; Stark, Heidi Kiiwetinepinesiik",,,,,,,,,"Rowman & Littlefield Publishers","American Indian Politics and the American Political System",,2017,23233,d6e250e8-afd8-445b-b6a3-b5252bb1ef55,Book,/book/american-indian-politics-american-political-system
/reference/d867ddb6-9fd9-4d9b-b190-a1da9e04a0c2,https://data.globalchange.gov/reference/d867ddb6-9fd9-4d9b-b190-a1da9e04a0c2,d867ddb6-9fd9-4d9b-b190-a1da9e04a0c2,,"Paine, Jeffrey G.; Tiffany L. Caudle; John R. Andrews",10.2112/jcoastres-d-15-00241.1,,,,"Journal of Coastal Research",,,487-506,,"Shoreline and sand storage dynamics from annual airborne LIDAR surveys, Texas Gulf Coast",,2017,25783,d867ddb6-9fd9-4d9b-b190-a1da9e04a0c2,"Journal Article",/article/10.2112/jcoastres-d-15-00241.1
/reference/dbfb7cd9-7c82-43ea-a4e2-9e2eb0b851fd,https://data.globalchange.gov/reference/dbfb7cd9-7c82-43ea-a4e2-9e2eb0b851fd,dbfb7cd9-7c82-43ea-a4e2-9e2eb0b851fd,,"Beard, Charles B.; Eisen, Rebecca J.; Barker, Christopher M.; Garofalo, Jada F.; Hahn, Micah; Hayden, Mary; Monaghan, Andrew J.; Ogden, Nicholas H.; Schramm, Paul J.",10.7930/J0765C7V,,,,,,,"129–156"," U.S. Global Change Research Program","Ch. 5: Vector-borne diseases	",,2016,19377,dbfb7cd9-7c82-43ea-a4e2-9e2eb0b851fd,"Book Section",/report/usgcrp-climate-human-health-assessment-2016/chapter/vectorborne-diseases
/reference/dd3ca065-3328-4db8-8001-5dbfba4cea40,https://data.globalchange.gov/reference/dd3ca065-3328-4db8-8001-5dbfba4cea40,dd3ca065-3328-4db8-8001-5dbfba4cea40,,"Montalvo, Avier J.; Faulk, Cynthia K.; Holt, G. Joan",10.1016/j.jembe.2012.07.017,2012/11/30/,0022-0981,"Supplement C","Journal of Experimental Marine Biology and Ecology",,,186-190,,"Sex determination in southern flounder, Paralichthys lethostigma, from the Texas Gulf Coast",432-433,2012,23306,dd3ca065-3328-4db8-8001-5dbfba4cea40,"Journal Article",/article/10.1016/j.jembe.2012.07.017
/reference/de07adc8-7f48-4455-8b2a-6707520acd59,https://data.globalchange.gov/reference/de07adc8-7f48-4455-8b2a-6707520acd59,de07adc8-7f48-4455-8b2a-6707520acd59,,"Loladze, Irakli",10.7554/eLife.02245,,2050-084X,,eLife,,,e02245,,"Hidden shift of the ionome of plants exposed to elevated CO2 depletes minerals at the base of human nutrition",3,2014,16203,de07adc8-7f48-4455-8b2a-6707520acd59,"Journal Article",/article/10.7554/eLife.02245
/reference/e0cb3c0f-072c-45ad-8e7e-230f0265a76c,https://data.globalchange.gov/reference/e0cb3c0f-072c-45ad-8e7e-230f0265a76c,e0cb3c0f-072c-45ad-8e7e-230f0265a76c,,"Green, Timothy R.; Taniguchi, Makoto; Kooi, Henk; Gurdak, Jason J.; Allen, Diana M.; Hiscock, Kevin M.; Treidel, Holger; Aureli, Alice",10.1016/j.jhydrol.2011.05.002,2011/08/05/,0022-1694,3,"Journal of Hydrology",,,532-560,,"Beneath the surface of global change: Impacts of climate change on groundwater",405,2011,23262,e0cb3c0f-072c-45ad-8e7e-230f0265a76c,"Journal Article",/article/10.1016/j.jhydrol.2011.05.002
/reference/e10a0595-486e-43e0-813d-7e9aa1852dc3,https://data.globalchange.gov/reference/e10a0595-486e-43e0-813d-7e9aa1852dc3,e10a0595-486e-43e0-813d-7e9aa1852dc3,"Continuing population and consumption growth will mean that the global demand for food will increase for at least another 40 years. Growing competition for land, water, and energy, in addition to the overexploitation of fisheries, will affect our ability to produce food, as will the urgent requirement to reduce the impact of the food system on the environment. The effects of climate change are a further threat. But the world can produce more food and can ensure that it is used more efficiently and equitably. A multifaceted and linked global strategy is needed to ensure sustainable and equitable food security, different components of which are explored here.%U ; http://science.sciencemag.org/content/sci/327/5967/812.full.pdf","Godfray, H. Charles J.; Beddington, John R.; Crute, Ian R.; Haddad, Lawrence; Lawrence, David; Muir, James F.; Pretty, Jules; Robinson, Sherman; Thomas, Sandy M.; Toulmin, Camilla",10.1126/science.1185383,,,5967,Science,,,812-818,,"Food security: The challenge of feeding 9 billion people",327,2010,23250,e10a0595-486e-43e0-813d-7e9aa1852dc3,"Journal Article",/article/10.1126/science.1185383
/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",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,",,,,,,,,,"National Congress of American Indians","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,"U.S. Global Change Research Program","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,"Nature Publishing Group","A global economic assessment of city policies to reduce climate change impacts",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 Biology Institute","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",,,,,,,,,"Oklahoma Climatological Survey",,,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",,10.1016/S0035-9203(96)90512-X,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,",,,,,,,,,"University of Oklahoma Printing Services,","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,,,,,,,,"U.S. Global Change Research Program","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",,,,,,,,,FarmProgress/Informa,,,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,"Public Library of Science","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