uri,href,identifier,attrs.Abstract,attrs.Author,attrs.DOI,attrs.Issue,attrs.Journal,attrs.Pages,attrs.Publisher,attrs.Title,attrs.Volume,attrs.Year,attrs._record_number,attrs._uuid,attrs.reftype,child_publication
/reference/8f52b228-6d50-4d9a-b106-98fae14d0538,https://data.globalchange.gov/reference/8f52b228-6d50-4d9a-b106-98fae14d0538,8f52b228-6d50-4d9a-b106-98fae14d0538,"The impact of changing climate on terrestrial and underwater archaeological sites, historic buildings, and cultural landscapes can be examined through quantitatively-based analyses encompassing large data samples and broad geographic and temporal scales. The Digital Index of North American Archaeology (DINAA) is a multi-institutional collaboration that allows researchers online access to linked heritage data from multiple sources and data sets. The effects of sea-level rise and concomitant human population relocation is examined using a sample from nine states encompassing much of the Gulf and Atlantic coasts of the southeastern United States. A 1 m rise in sea-level will result in the loss of over >13,000 recorded historic and prehistoric archaeological sites, as well as over 1000 locations currently eligible for inclusion on the National Register of Historic Places (NRHP), encompassing archaeological sites, standing structures, and other cultural properties. These numbers increase substantially with each additional 1 m rise in sea level, with >32,000 archaeological sites and >2400 NRHP properties lost should a 5 m rise occur. Many more unrecorded archaeological and historic sites will also be lost as large areas of the landscape are flooded. The displacement of millions of people due to rising seas will cause additional impacts where these populations resettle. Sea level rise will thus result in the loss of much of the record of human habitation of the coastal margin in the Southeast within the next one to two centuries, and the numbers indicate the magnitude of the impact on the archaeological record globally. Construction of large linked data sets is essential to developing procedures for sampling, triage, and mitigation of these impacts.","Anderson, David G.; Bissett, Thaddeus G.; Yerka, Stephen J.; Wells, Joshua J.; Kansa, Eric C.; Kansa, Sarah W.; Myers, Kelsey Noack; DeMuth, R. Carl; White, Devin A.",10.1371/journal.pone.0188142,11,"PLOS ONE",e0188142,"Public Library of Science","Sea-level rise and archaeological site destruction: An example from the southeastern United States using DINAA (Digital Index of North American Archaeology)",12,2017,26328,8f52b228-6d50-4d9a-b106-98fae14d0538,"Journal Article",/article/10.1371/journal.pone.0188142
/reference/8fd39f84-afdd-4a1c-ba1f-a95c59a61d9b,https://data.globalchange.gov/reference/8fd39f84-afdd-4a1c-ba1f-a95c59a61d9b,8fd39f84-afdd-4a1c-ba1f-a95c59a61d9b,,"Isle de Jean Charles Tribe,",,,,,,"Bienvenue, Aiokpanchi, Welcome to Isle de Jean Charles [web site]",,2017,26343,8fd39f84-afdd-4a1c-ba1f-a95c59a61d9b,"Web Page",/webpage/575b3d94-5294-4ce0-b278-17915b8fae70
/reference/907f4bf1-5338-424e-bce1-0a54d106dc7e,https://data.globalchange.gov/reference/907f4bf1-5338-424e-bce1-0a54d106dc7e,907f4bf1-5338-424e-bce1-0a54d106dc7e,,"Howard, Rebecca J.; Day, Richard H.; Krauss, Ken W.; From, Andrew S.; Allain, Larry; Cormier, Nicole",10.1111/rec.12452,3,"Restoration Ecology",471-482,"Wiley Periodicals, Inc.","Hydrologic restoration in a dynamic subtropical mangrove-to-marsh ecotone",25,2017,24325,907f4bf1-5338-424e-bce1-0a54d106dc7e,"Journal Article",/article/10.1111/rec.12452
/reference/90bbb2dd-3abb-4b02-b8c0-6969c158a2bd,https://data.globalchange.gov/reference/90bbb2dd-3abb-4b02-b8c0-6969c158a2bd,90bbb2dd-3abb-4b02-b8c0-6969c158a2bd,,"van der Wiel, K.; Kapnick, S. B.; van Oldenborgh, G. J.; Whan, K.; Philip, S.; Vecchi, G. A.; Singh, R. K.; Arrighi, J.; Cullen, H.",10.5194/hess-21-897-2017,2,"Hydrology and Earth System Sciences",897-921,,"Rapid attribution of the August 2016 flood-inducing extreme precipitation in south Louisiana to climate change",21,2017,21076,90bbb2dd-3abb-4b02-b8c0-6969c158a2bd,"Journal Article",/article/10.5194/hess-21-897-2017
/reference/91134a9b-6dde-4607-bc9f-6301da1e1800,https://data.globalchange.gov/reference/91134a9b-6dde-4607-bc9f-6301da1e1800,91134a9b-6dde-4607-bc9f-6301da1e1800,,"Hoegh-Guldberg, O.
Bruno, J.F.",10.1126/science.1189930,5985,Science,1523-1528,,"The impact of climate change on the world’s marine ecosystems",328,2010,884,91134a9b-6dde-4607-bc9f-6301da1e1800,"Journal Article",/article/10.1126/science.1189930
/reference/91aeffdb-e82f-4645-abe9-f6ea6909e979,https://data.globalchange.gov/reference/91aeffdb-e82f-4645-abe9-f6ea6909e979,91aeffdb-e82f-4645-abe9-f6ea6909e979,,"Sweet, William V.; Park, Joseph",10.1002/2014EF000272,12,"Earth’s Future",579-600,,"From the extreme to the mean: Acceleration and tipping points of coastal inundation from sea level rise",2,2014,19458,91aeffdb-e82f-4645-abe9-f6ea6909e979,"Journal Article",/article/10.1002/2014EF000272
/reference/922d66df-880d-4c7e-8844-ba04a65966a1,https://data.globalchange.gov/reference/922d66df-880d-4c7e-8844-ba04a65966a1,922d66df-880d-4c7e-8844-ba04a65966a1,,"Newman, Soren; Carroll, Matthew; Jakes, Pamela; Higgins, Lorie",10.1080/17477891.2013.841090,1,"Environmental Hazards",21-37,"Taylor & Francis","Hurricanes and wildfires: Generic characteristics of community adaptive capacity",13,2014,22259,922d66df-880d-4c7e-8844-ba04a65966a1,"Journal Article",/article/10.1080/17477891.2013.841090
/reference/938aaf30-da39-4990-a2fb-30518482f772,https://data.globalchange.gov/reference/938aaf30-da39-4990-a2fb-30518482f772,938aaf30-da39-4990-a2fb-30518482f772,"The water, soil and vegetation characteristics are presented of themangroves of the Saloum River estuary, Senegal, in 1995 and 1996. Themangroves have changed markedly due to decreasing rainfall and increasingevaporation rates, particularly in the 1980s, as well as new oceanographicconditions resulting from the breaching of a protective sand dune. Thehealth of the remaining mangrove communities depends on the localhydrological and hydrodynamic conditions, the microtopography, the humanexploitation of the forest and the clay-sand composition of the soils.","Diop, E.S.; Soumare, A.; Diallo, N.; Guisse, A.",10.1023/a:1009900724172,3,"Mangroves and Salt Marshes",163-172,,"Recent changes of the mangroves of the Saloum River Estuary, Senegal",1,1997,24308,938aaf30-da39-4990-a2fb-30518482f772,"Journal Article",/article/10.1023/a:1009900724172
/reference/93f9d2a2-b3db-489d-9b0b-49a8a302d73a,https://data.globalchange.gov/reference/93f9d2a2-b3db-489d-9b0b-49a8a302d73a,93f9d2a2-b3db-489d-9b0b-49a8a302d73a,,"Lovelock, Catherine E.; Ken W. Krauss; Michael J. Osland; Ruth Reef; Marilyn C. Ball",,,,149-179,Springer,"The physiology of mangrove trees with changing climate",,2016,24346,93f9d2a2-b3db-489d-9b0b-49a8a302d73a,"Book Section",/book/9ae7eefa-b121-40b2-9f69-810d9d0d7f3c
/reference/94868e96-a2cc-4640-99c7-ce31b719bd29,https://data.globalchange.gov/reference/94868e96-a2cc-4640-99c7-ce31b719bd29,94868e96-a2cc-4640-99c7-ce31b719bd29,,"Leopold, Susan",,"February 15",,,,"Ramps now on the ""to-watch"" list: Time to ramp up conservation efforts",,2017,26294,94868e96-a2cc-4640-99c7-ce31b719bd29,"Electronic Article",/generic/4d1e30ae-9c4a-4028-a808-214933f9f2a6
/reference/959c3aa0-bdde-4ee9-9b39-2f1ee2eb079f,https://data.globalchange.gov/reference/959c3aa0-bdde-4ee9-9b39-2f1ee2eb079f,959c3aa0-bdde-4ee9-9b39-2f1ee2eb079f,,"Morin, Cory W.; Andrew C. Comrie; Kacey Ernst",10.1289/ehp.1306556,,"Environmental Health Perspectives",1264-1277,,"Climate and dengue transmission: Evidence and implications",121,2013,24359,959c3aa0-bdde-4ee9-9b39-2f1ee2eb079f,"Journal Article",/article/10.1289/ehp.1306556
/reference/95d40945-3680-42c2-99c0-e59d1af99867,https://data.globalchange.gov/reference/95d40945-3680-42c2-99c0-e59d1af99867,95d40945-3680-42c2-99c0-e59d1af99867,"Ground-level ozone is adverse to human and vegetation health. High ground-level ozone concentrations usually occur over the United States in the summer, often referred to as the ozone season. However, observed monthly mean ozone concentrations in the southeastern United States were higher in October than July in 2010. The October ozone average in 2010 reached that of July in the past three decades (1980–2010). Our analysis shows that this extreme October ozone in 2010 over the Southeast is due in part to a dry and warm weather condition, which enhances photochemical production, air stagnation, and fire emissions. Observational evidence and modeling analysis also indicate that another significant contributor is enhanced emissions of biogenic isoprene, a major ozone precursor, from water-stressed plants under a dry and warm condition. The latter finding is corroborated by recent laboratory and field studies. This climate-induced biogenic control also explains the puzzling fact that the two extremes of high October ozone both occurred in the 2000s when anthropogenic emissions were lower than the 1980s and 1990s, in contrast to the observed decreasing trend of July ozone in the region. The occurrences of a drying and warming fall, projected by climate models, will likely lead to more active photochemistry, enhanced biogenic isoprene and fire emissions, an extension of the ozone season from summer to fall, and an increase of secondary organic aerosols in the Southeast, posing challenges to regional air quality management.","Zhang, Yuzhong; Wang, Yuhang",10.1073/pnas.1602563113,36,"Proceedings of the National Academy of Sciences of the United States of America",10025-10030,,"Climate-driven ground-level ozone extreme in the fall over the Southeast United States",113,2016,24396,95d40945-3680-42c2-99c0-e59d1af99867,"Journal Article",/article/10.1073/pnas.1602563113
/reference/95f31c3c-1546-4c44-bfd3-a2912ededbd6,https://data.globalchange.gov/reference/95f31c3c-1546-4c44-bfd3-a2912ededbd6,95f31c3c-1546-4c44-bfd3-a2912ededbd6,,"Office of Community Development,",,,,,"State of Louisiana","Isle de Jean Charles Resettlement Project",,2018,26336,95f31c3c-1546-4c44-bfd3-a2912ededbd6,"Web Page",/webpage/b0a6f039-f33d-4b5c-ae38-b8618d50bfb4
/reference/97387e44-8bfc-413a-948c-e6dc67f5e7cd,https://data.globalchange.gov/reference/97387e44-8bfc-413a-948c-e6dc67f5e7cd,97387e44-8bfc-413a-948c-e6dc67f5e7cd,"Because sea level could rise 1 m or more during the next century, it is important to understand what land, communities and assets may be most at risk from increased flooding and eventual submersion. Employing a recent high-resolution edition of the National Elevation Dataset and using VDatum, a newly available tidal model covering the contiguous US, together with data from the 2010 Census, we quantify low-lying coastal land, housing and population relative to local mean high tide levels, which range from ~0 to 3 m in elevation (North American Vertical Datum of 1988). Previous work at regional to national scales has sometimes equated elevation with the amount of sea level rise, leading to underestimated risk anywhere where the mean high tide elevation exceeds 0 m, and compromising comparisons across regions with different tidal levels. Using our tidally adjusted approach, we estimate the contiguous US population living on land within 1 m of high tide to be 3.7 million. In 544 municipalities and 38 counties, we find that over 10% of the population lives below this line; all told, some 2150 towns and cities have some degree of exposure. At the state level, Florida, Louisiana, California, New York and New Jersey have the largest sub-meter populations. We assess topographic susceptibility of land, housing and population to sea level rise for all coastal states, counties and municipalities, from 0 to 6 m above mean high tide, and find important threat levels for widely distributed communities of every size. We estimate that over 22.9 million Americans live on land within 6 m of local mean high tide.","Strauss, B.H.
Ziemlinski, R.
Weiss, J.L.
Overpeck, J.T.",10.1088/1748-9326/7/1/014033,1,"Environmental Research Letters",014033,,"Tidally adjusted estimates of topographic vulnerability to sea level rise and flooding for the contiguous United States",7,2012,2974,97387e44-8bfc-413a-948c-e6dc67f5e7cd,"Journal Article",/article/10.1088/1748-9326/7/1/014033
/reference/9836e6e9-23fa-4324-b5af-bdfefeaf4074,https://data.globalchange.gov/reference/9836e6e9-23fa-4324-b5af-bdfefeaf4074,9836e6e9-23fa-4324-b5af-bdfefeaf4074,,"NDRC,",,,,23,,"National Disaster Resilience Competition (NDRC): Grantee Profiles",,2016,24053,9836e6e9-23fa-4324-b5af-bdfefeaf4074,Report,/report/national-disaster-resilience-competition-ndrc-grantee-profiles
/reference/989a57fc-3c12-4ed1-a80d-0c765a119a3f,https://data.globalchange.gov/reference/989a57fc-3c12-4ed1-a80d-0c765a119a3f,989a57fc-3c12-4ed1-a80d-0c765a119a3f,,"Brock, M. A.; Nielsen, Daryl L.; Shiel, Russell J.; Green, John D.; Langley, John D.",10.1046/j.1365-2427.2003.01083.x,7,"Freshwater Biology",1207-1218,"Blackwell Science Ltd","Drought and aquatic community resilience: The role of eggs and seeds in sediments of temporary wetlands",48,2003,24299,989a57fc-3c12-4ed1-a80d-0c765a119a3f,"Journal Article",/article/10.1046/j.1365-2427.2003.01083.x
/reference/99381285-0a07-4bdd-8927-ea4822bba416,https://data.globalchange.gov/reference/99381285-0a07-4bdd-8927-ea4822bba416,99381285-0a07-4bdd-8927-ea4822bba416,,"ERS,",,,,,"USDA, Economic Research Service (ERS)","Rural Poverty & Well-Being: Geography of Poverty",,2018,26340,99381285-0a07-4bdd-8927-ea4822bba416,"Web Page",/webpage/df4d9469-9214-49ea-a55c-2de5f8b8a62f
/reference/9b30cb39-2de7-468b-a292-d758d56c4aa3,https://data.globalchange.gov/reference/9b30cb39-2de7-468b-a292-d758d56c4aa3,9b30cb39-2de7-468b-a292-d758d56c4aa3,,"Larcher, Walter",,,,,Springer,"Physiological Plant Ecology: Ecophysiology and Stress Physiology of Functional Groups",,2003,24345,9b30cb39-2de7-468b-a292-d758d56c4aa3,Book,/book/physiological-plant-ecology-ecophysiology-stress-physiology-functional-groups
/reference/9cef8d69-7596-480a-81b6-abd09ff1c1e3,https://data.globalchange.gov/reference/9cef8d69-7596-480a-81b6-abd09ff1c1e3,9cef8d69-7596-480a-81b6-abd09ff1c1e3,,"Monaghan, Andrew J.; Morin, Cory W.; Steinhoff, Daniel F.; Wilhelmi, Olga; Hayden, Mary; Quattrochi, Dale A.; Reiskind, Michael; Lloyd, Alun L; Smith, Kirk; Schmidt, Chris A.; Scalf, Paige E.; Ernst, Kacey",10.1371/currents.outbreaks.50dfc7f46798675fc63e7d7da563da76,,"Plos Currents: Outbreaks",,,"On the seasonal occurrence and abundance of the Zika virus vector mosquito Aedes aegypti in the contiguous United States",,2016,22061,9cef8d69-7596-480a-81b6-abd09ff1c1e3,"Journal Article",/article/10.1371/currents.outbreaks.50dfc7f46798675fc63e7d7da563da76
/reference/9ebd5ac8-5395-431c-81be-73f74f0ff87c,https://data.globalchange.gov/reference/9ebd5ac8-5395-431c-81be-73f74f0ff87c,9ebd5ac8-5395-431c-81be-73f74f0ff87c,,"City of Atlanta,",,,,150,,"Resilient Atlanta: Actions to build a more equitable future",,2017,26345,9ebd5ac8-5395-431c-81be-73f74f0ff87c,Report,/report/resilient-atlanta-actions-build-more-equitable-future
/reference/9f559c9b-c78e-4593-bcbe-f07661d29e16,https://data.globalchange.gov/reference/9f559c9b-c78e-4593-bcbe-f07661d29e16,9f559c9b-c78e-4593-bcbe-f07661d29e16,,"Houser, Trevor; Hsiang, Solomon; Kopp, Robert; Larsen, Kate; Michael Delgado; Amir Jina; Michael Mastrandrea; Shashank Mohan; Robert Muir-Wood; D. J. Rasmussen; James Rising; Paul Wilson ",,,,,"Columbia University Press","Economic Risks of Climate Change: An American Prospectus",,2015,25465,9f559c9b-c78e-4593-bcbe-f07661d29e16,Book,/book/economic-risks-climate-change-an-american-prospectus
/reference/a0130167-b319-493d-bedc-7cab8f8fe9d9,https://data.globalchange.gov/reference/a0130167-b319-493d-bedc-7cab8f8fe9d9,a0130167-b319-493d-bedc-7cab8f8fe9d9,"We assess the relationship between temperature and global sea-level (GSL) variability over the Common Era through a statistical metaanalysis of proxy relative sea-level reconstructions and tide-gauge data. GSL rose at 0.1 ± 0.1 mm/y (2σ) over 0–700 CE. A GSL fall of 0.2 ± 0.2 mm/y over 1000–1400 CE is associated with ∼0.2 °C global mean cooling. A significant GSL acceleration began in the 19th century and yielded a 20th century rise that is extremely likely (probability P≥0.95) faster than during any of the previous 27 centuries. A semiempirical model calibrated against the GSL reconstruction indicates that, in the absence of anthropogenic climate change, it is extremely likely (P=0.95) that 20th century GSL would have risen by less than 51% of the observed 13.8±1.5 cm. The new semiempirical model largely reconciles previous differences between semiempirical 21st century GSL projections and the process model-based projections summarized in the Intergovernmental Panel on Climate Change’s Fifth Assessment Report.","Kopp, Robert E.; Kemp, Andrew C.; Bittermann, Klaus; Horton, Benjamin P.; Donnelly, Jeffrey P.; Gehrels, W. Roland; Hay, Carling C.; Mitrovica, Jerry X.; Morrow, Eric D.; Rahmstorf, Stefan",10.1073/pnas.1517056113,11,"Proceedings of the National Academy of Sciences of the United States of America",E1434-E1441,,"Temperature-driven global sea-level variability in the Common Era",113,2016,19558,a0130167-b319-493d-bedc-7cab8f8fe9d9,"Journal Article",/article/10.1073/pnas.1517056113
/reference/a0403ee4-f787-4078-bcba-64cdd6cc9cb1,https://data.globalchange.gov/reference/a0403ee4-f787-4078-bcba-64cdd6cc9cb1,a0403ee4-f787-4078-bcba-64cdd6cc9cb1,"Heat kills more people than any other weather-related event in the USA, resulting in hundreds of fatalities each year. In North Carolina, heat-related illness accounts for over 2,000 yearly emergency department admissions. In this study, data on emergency department (ED) visits for heat-related illness (HRI) were obtained from the North Carolina Disease Event Tracking and Epidemiologic Collection Tool to identify spatiotemporal relationships between temperature and morbidity across six warm seasons (May–September) from 2007 to 2012. Spatiotemporal relationships are explored across different regions (e.g., coastal plain, rural) and demographics (e.g., gender, age) to determine the differential impact of heat stress on populations. This research reveals that most cases of HRI occur on days with climatologically normal temperatures (e.g., 31 to 35 °C); however, HRI rates increase substantially on days with abnormally high daily maximum temperatures (e.g., 31 to 38 °C). HRI ED visits decreased on days with extreme heat (e.g., greater than 38 °C), suggesting that populations are taking preventative measures during extreme heat and therefore mitigating heat-related illness.","Sugg, Margaret M.; Konrad, Charles E.; Fuhrmann, Christopher M.",10.1007/s00484-015-1060-4,5,"International Journal of Biometeorology",663-675,,"Relationships between maximum temperature and heat-related illness across North Carolina, USA",60,2016,23581,a0403ee4-f787-4078-bcba-64cdd6cc9cb1,"Journal Article",/article/10.1007/s00484-015-1060-4
/reference/a0725f18-ac3e-49b2-9c43-fbe0aef2ed6c,https://data.globalchange.gov/reference/a0725f18-ac3e-49b2-9c43-fbe0aef2ed6c,a0725f18-ac3e-49b2-9c43-fbe0aef2ed6c,,"Bernatchez, Antoine; Lapointe, Line",10.1139/b2012-089,11,Botany,1125-1132,"NRC Research Press","Cooler temperatures favour growth of wild leek (Allium tricoccum), a deciduous forest spring ephemeral",90,2012,24294,a0725f18-ac3e-49b2-9c43-fbe0aef2ed6c,"Journal Article",/article/10.1139/b2012-089