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/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,"September 01",1572-977X,3,"Mangroves and Salt Marshes",163-172,"Recent changes of the mangroves of the Saloum River Estuary, Senegal","journal article",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,"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,"September 6, 2016",,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,",,,,,,,"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,,1365-2427,7,"Freshwater Biology",1207-1218,"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,",,,,,,,"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",,,,,,,"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 ",,,,,,,"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,"March 15, 2016",,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,"May 01",1432-1254,5,"International Journal of Biometeorology",663-675,"Relationships between maximum temperature and heat-related illness across North Carolina, USA","journal article",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/b2012-089,2012/11/01,1916-2790,11,Botany,1125-1132,"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
/reference/a073cf8e-8d74-4f11-bfe2-d3494b9bcc7a,https://data.globalchange.gov/reference/a073cf8e-8d74-4f11-bfe2-d3494b9bcc7a,a073cf8e-8d74-4f11-bfe2-d3494b9bcc7a,,"Allen, Craig D.; Breshears, David D.; McDowell, Nate G.",10.1890/ES15-00203.1,,2150-8925,8,Ecosphere,1-55,"On underestimation of global vulnerability to tree mortality and forest die-off from hotter drought in the Anthropocene",,6,2015,23658,a073cf8e-8d74-4f11-bfe2-d3494b9bcc7a,"Journal Article",/article/10.1890/ES15-00203.1
/reference/a10c3098-65db-4360-9ecb-f64650b56711,https://data.globalchange.gov/reference/a10c3098-65db-4360-9ecb-f64650b56711,a10c3098-65db-4360-9ecb-f64650b56711,,"Clemson Cooperative Extension,",,,,,,,"About Peaches",,,2018,24288,a10c3098-65db-4360-9ecb-f64650b56711,"Web Page",/webpage/c1491338-eda3-4d81-9a04-2225fe310292
/reference/a182cf3b-2113-4680-99e8-4e17abed758a,https://data.globalchange.gov/reference/a182cf3b-2113-4680-99e8-4e17abed758a,a182cf3b-2113-4680-99e8-4e17abed758a,"Future changes in society and climate are expected to affect wildfire activity in the south-eastern United States. The objective of this research was to understand how changes in both climate and society may affect wildfire in the coming decades. We estimated a three-stage statistical model of wildfire area burned by ecoregion province for lightning and human causes (1992–2010) based on precipitation, temperature, potential evapotranspiration, forest land use, human population and personal income. Estimated parameters from the statistical models were used to project wildfire area burned from 2011 to 2060 under nine climate realisations, using a combination of three Intergovernmental Panel on Climate Change-based emissions scenarios (A1B, A2, B2) and three general circulation models. Monte Carlo simulation quantifies ranges in projected area burned by county by year, and in total for higher-level spatial aggregations. Projections indicated, overall in the Southeast, that median annual area burned by lightning-ignited wildfire increases by 34%, human-ignited wildfire decreases by 6%, and total wildfire increases by 4% by 2056–60 compared with 2016–20. Total wildfire changes vary widely by state (–47 to +30%) and ecoregion province (–73 to +79%). Our analyses could be used to generate projections of wildfire-generated air pollutant exposures, relevant to meeting the National Ambient Air Quality Standards.","Prestemon, Jeffrey P.; Shankar, Uma; Xiu, Aijun; Talgo, K.; Yang, D.; Dixon, Ernest; McKenzie, Donald; Abt, Karen L.",10.1071/WF15124,,,7,"International Journal of Wildland Fire",715-729,"Projecting wildfire area burned in the south-eastern United States, 2011–60",,25,2016,20932,a182cf3b-2113-4680-99e8-4e17abed758a,"Journal Article",/article/10.1071/WF15124
/reference/a1882d0a-abb0-438f-9847-4e0d95b783b9,https://data.globalchange.gov/reference/a1882d0a-abb0-438f-9847-4e0d95b783b9,a1882d0a-abb0-438f-9847-4e0d95b783b9,,"ARC 33°N,",,,,,,,"Regional Snapshot: 2016 Population Estimates",,,2016,24434,a1882d0a-abb0-438f-9847-4e0d95b783b9,"Web Page",/webpage/16ad2638-dd4e-4c00-943b-523035dde49f
/reference/a5f1eba7-ab47-437a-931e-369a64f399bc,https://data.globalchange.gov/reference/a5f1eba7-ab47-437a-931e-369a64f399bc,a5f1eba7-ab47-437a-931e-369a64f399bc,,"Williams, Kimberlyn; Ewel, Katherine C.; Stumpf, Richard P.; Putz, Francis E.; Workman, Thomas W.",10.1890/0012-9658(1999)080[2045:SLRACF]2.0.CO;2,,1939-9170,6,Ecology,2045-2063,"Sea-level rise and coastal forest retreat on the West Coast of Florida, USA",,80,1999,24392,a5f1eba7-ab47-437a-931e-369a64f399bc,"Journal Article",/article/10.1890/0012-9658(1999)080%5B2045:SLRACF%5D2.0.CO;2
/reference/a6540f68-e414-4fa3-ad9e-452687043dee,https://data.globalchange.gov/reference/a6540f68-e414-4fa3-ad9e-452687043dee,a6540f68-e414-4fa3-ad9e-452687043dee,,"Comeaux, Rebecca S.; Allison, Mead A.; Bianchi, Thomas S.",10.1016/j.ecss.2011.10.003,2012/01/01/,0272-7714,,"Estuarine, Coastal and Shelf Science",81-95,"Mangrove expansion in the Gulf of Mexico with climate change: Implications for wetland health and resistance to rising sea levels",,96,2012,24302,a6540f68-e414-4fa3-ad9e-452687043dee,"Journal Article",/article/10.1016/j.ecss.2011.10.003
/reference/a6a312ba-6fd1-4006-9a60-45112db52190,https://data.globalchange.gov/reference/a6a312ba-6fd1-4006-9a60-45112db52190,a6a312ba-6fd1-4006-9a60-45112db52190,,"Walsh, John
Wuebbles, Donald
Hayhoe, Katharine
Kossin, James
Kunkel, Kenneth
Stephens, Graeme
Thorne, Peter
Vose, Russell
Wehner, Michael
Willis, Josh
Anderson, David
Doney, Scott
Feely, Richard
Hennon, Paula
Kharin, Viatcheslav
Knutson, Thomas
Landerer, Felix
Lenton, Tim
Kennedy, John
Somerville, Richard",10.7930/J0KW5CXT,,,,,19-67,"Ch. 2: Our Changing Climate",,,2014,4713,a6a312ba-6fd1-4006-9a60-45112db52190,"Book Section",/report/nca3/chapter/our-changing-climate
/reference/a749b520-8a91-448b-8051-8902f3f70a8e,https://data.globalchange.gov/reference/a749b520-8a91-448b-8051-8902f3f70a8e,a749b520-8a91-448b-8051-8902f3f70a8e,"Landscape pattern and composition metrics are potential indicators for broad-scale monitoring of change and for relating change to human and ecological processes. We used a probability sample of 20-km × 20-km sampling blocks to characterize landscape composition and pattern in five US ecoregions: the Middle Atlantic Coastal Plain, Southeastern Plains, Northern Piedmont, Piedmont, and Blue Ridge Mountains. Land use/land cover (LULC) data for five dates between 1972 and 2000 were obtained for each sample block. Analyses focused on quantifying trends in selected landscape pattern metrics by ecoregion and comparing trends in land cover proportions and pattern metrics among ecoregions. Repeated measures analysis of the landscape pattern documented a statistically significant trend in all five ecoregions towards a more fine-grained landscape from the early 1970s through 2000. The ecologically important forest cover class also became more fine-grained with time (i.e., more numerous and smaller forest patches). Trends in LULC, forest edge, and forest percent like adjacencies differed among ecoregions. These results suggest that ecoregions provide a geographically coherent way to regionalize the story of national land use and land cover change in the United States. This study provides new information on LULC change in the southeast United States. Previous studies of the region from the 1930s to the 1980s showed a decrease in landscape fragmentation and an increase in percent forest, while this study showed an increase in forest fragmentation and a loss of forest cover.","Griffith, Jerry A.; Stehman, Stephen V.; Loveland, Thomas R.",10.1007/s00267-003-0078-2,"November 01",1432-1009,5,"Environmental Management",572-588,"Landscape trends in mid-Atlantic and southeastern United States ecoregions","journal article",32,2003,24321,a749b520-8a91-448b-8051-8902f3f70a8e,"Journal Article",/article/10.1007/s00267-003-0078-2