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