uri,href,identifier,attrs.Abstract,attrs.Author,attrs.DOI,attrs.Issue,attrs.Journal,attrs.Keywords,attrs.Pages,attrs.Title,attrs.Volume,attrs.Year,attrs._record_number,attrs._uuid,attrs.reftype,child_publication
/reference/312954a5-9b1c-44cb-859f-8cc777d15924,https://data.globalchange.gov/reference/312954a5-9b1c-44cb-859f-8cc777d15924,312954a5-9b1c-44cb-859f-8cc777d15924,"Climate change and fire suppression have altered fire regimes globally, leading to larger, more frequent, and more severe wildfires. Responses of coldwater stream biota to single wildfires are well studied, but measured responses to consecutive wildfires in warmwater systems that often include mixed assemblages of native and nonnative taxa are lacking. We quantified changes in physical habitat, resource availability, and biomass of cold- and warmwater oligochaetes, insects, crayfish, fishes, and tadpoles following consecutive megafires (covering >100 km2) in the upper Gila River, New Mexico, USA. We were particularly interested in comparing responses of native and nonnative fishes that might have evolved under different disturbance regimes. Changes in habitat and resource availability were related to cumulative fire effects, fire size, and postfire precipitation. The 2nd of 2 consecutive wildfires in the basin was larger and, coupled with moderate postfire discharge, resulted in increased siltation and decreased algal biomass. Several insect taxa responded to these fires with reduced biomass, whereas oligochaete biomass was unaffected. Biomass of 6 of 7 native fish species decreased after the fires, and decreases were associated with site proximity to fire. Nonnative fish decreases after fire were most pronounced for coldwater salmonids, and warmwater nonnative fishes exhibited limited responses. All crayfish and tadpoles collected were nonnative and were unresponsive to fire disturbance. More pronounced responses of native insects and fishes to fires indicate that increasing fire size and frequency threatens the persistence of native fauna and suggests that management activities promoting ecosystem resilience might help ameliorate wildfire effects.","Whitney, James E.; Keith B. Gido; Tyler J. Pilger; David L. Propst; Thomas F. Turner",10.1086/683391,4,"Freshwater Science","mega-fire,native fish,invasive species,macroinvertebrates,warmwater stream,disturbance, ash flows",1510-1526,"Consecutive wildfires affect stream biota in cold- and warmwater dryland river networks",34,2015,23883,312954a5-9b1c-44cb-859f-8cc777d15924,"Journal Article",/article/10.1086/683391
/reference/316a43e3-84fa-4eae-af65-7ff2dbc2ebbb,https://data.globalchange.gov/reference/316a43e3-84fa-4eae-af65-7ff2dbc2ebbb,316a43e3-84fa-4eae-af65-7ff2dbc2ebbb,,"Lane, Nic",,,,,10,"The Bureau of Reclamation’s Aging Infrastructure. CRS Report for Congress",,2008,23957,316a43e3-84fa-4eae-af65-7ff2dbc2ebbb,Report,/report/bureau-reclamations-aging-infrastructure-crs-report-congress
/reference/31856fff-487f-4e52-b536-2f22b0d485ae,https://data.globalchange.gov/reference/31856fff-487f-4e52-b536-2f22b0d485ae,31856fff-487f-4e52-b536-2f22b0d485ae,"California’s San Francisco Bay/Sacramento-San Joaquin Delta (bay/delta) estuary system is subject to externally forced storm surge propagating from the open ocean. In the lower reaches of the delta, storm surge dominates water level extremes and can have a significant impact on wetlands, freshwater aquifers, levees, and ecosys- tems. The magnitude and distribution of open-ocean tide generated storm surge throughout the bay/delta are described by a network of stations within the bay/delta system and along the California coast. Correlation of non-tide water levels between stations in the network indicates that peak storm surge fluctuations propagate into the bay/delta system from outside the Golden Gate. The initial peak surge propa- gates from the open ocean inland, while a trailing (smaller amplitude) secondary peak is associated with river discharge. Extreme non-tide water levels are generally associated with extreme Sacramento-San Joaquin river flows, underscoring the po- tential impact of sea level rise on the delta levees and bay/delta ecosystem.","Bromirski, Peter D.; Flick, Reinhard E.",,,"Shore & Beach",,29-37,"Storm surge in the San Francisco Bay/Delta and nearby coastal locations",76,2008,25960,31856fff-487f-4e52-b536-2f22b0d485ae,"Journal Article",/article/storm-surge-san-francisco-baydelta-nearby-coastal-locations
/reference/31c9a217-7e78-4574-885e-ff6ce7e4511a,https://data.globalchange.gov/reference/31c9a217-7e78-4574-885e-ff6ce7e4511a,31c9a217-7e78-4574-885e-ff6ce7e4511a,,"State of California,",,,,,61,"Contingency Plan for Excessive Heat Emergencies",,2014,23918,31c9a217-7e78-4574-885e-ff6ce7e4511a,Report,/report/contingency-plan-excessive-heat-emergencies
/reference/31d5b802-7b91-4580-a10c-741035c5f9f6,https://data.globalchange.gov/reference/31d5b802-7b91-4580-a10c-741035c5f9f6,31d5b802-7b91-4580-a10c-741035c5f9f6,,"Analitis, A.; Michelozzi, P.; D'Ippoliti, D.; de'Donato, F.; Menne, B.; Matthies, F.; Atkinson, R.W.; Iñiguez, C.; Basagaña, X.; Schneider, A.; Lefranc, A.; Paldy, A.; Bisanti, L.; Katsouyanni, K.",10.1097/EDE.0b013e31828ac01b,1,Epidemiology,,15-22,"Effects of heat waves on mortality: Effect modification and confounding by air pollutants",25,2014,19126,31d5b802-7b91-4580-a10c-741035c5f9f6,"Journal Article",/article/10.1097/EDE.0b013e31828ac01b
/reference/329424f7-8338-4f49-bb76-892fcaff2bc5,https://data.globalchange.gov/reference/329424f7-8338-4f49-bb76-892fcaff2bc5,329424f7-8338-4f49-bb76-892fcaff2bc5,,,,,,,18,"Just Environmental and Climate Pathways: Knowledge Exchange among Community Organizers, Scholar-Activists, Citizen-Scientists and Artists",,2017,26401,329424f7-8338-4f49-bb76-892fcaff2bc5,"Edited Report",/report/just-environmental-climate-pathways-knowledge-exchange-among-community-organizers-scholar-activists-citizen-scientists-artists
/reference/32a621bf-5225-47a3-b7df-559443b3486e,https://data.globalchange.gov/reference/32a621bf-5225-47a3-b7df-559443b3486e,32a621bf-5225-47a3-b7df-559443b3486e,,"Cozzetto, K.
Chief, K.
Dittmer, K.
Brubaker, M.
Gough, R.
Souza, K.
Ettawageshik, F.
Wotkyns, S.
Opitz-Stapleton, S.
Duren, S.
Chavan, P.",10.1007/s10584-013-0852-y,3,"Climatic Change",,569-584,"Climate change impacts on the water resources of American Indians and Alaska Natives in the U.S",120,2013,4339,32a621bf-5225-47a3-b7df-559443b3486e,"Journal Article",/article/10.1007/s10584-013-0852-y
/reference/32a6b190-a684-46b4-a499-bf30f51beebc,https://data.globalchange.gov/reference/32a6b190-a684-46b4-a499-bf30f51beebc,32a6b190-a684-46b4-a499-bf30f51beebc,,"Ferrenberg, Scott; Tucker, Colin L.; Reed, Sasha C.",10.1002/fee.1469,3,"Frontiers in Ecology and the Environment",,160-167,"Biological soil crusts: Diminutive communities of potential global importance",15,2017,23763,32a6b190-a684-46b4-a499-bf30f51beebc,"Journal Article",/article/10.1002/fee.1469
/reference/3307a62c-ed45-4399-bcb9-f77e71b1e626,https://data.globalchange.gov/reference/3307a62c-ed45-4399-bcb9-f77e71b1e626,3307a62c-ed45-4399-bcb9-f77e71b1e626,"Climate change is expected to modify the timing of seasonal transitions this century, impacting wildlife migrations, ecosystem function, and agricultural activity. Tracking seasonal transitions in a consistent manner across space and through time requires indices that can be used for monitoring and managing biophysical and ecological systems during the coming decades. Here a new gridded dataset of spring indices is described and used to understand interannual, decadal, and secular trends across the coterminous United States. This dataset is derived from daily interpolated meteorological data, and the results are compared with historical station data to ensure the trends and variations are robust. Regional trends in the first leaf index range from −0.8 to −1.6 days decade−1, while first bloom index trends are between −0.4 and −1.2 for most regions. However, these trends are modulated by interannual to multidecadal variations, which are substantial throughout the regions considered here. These findings emphasize the important role large-scale climate modes of variability play in modulating spring onset on interannual to multidecadal time scales. Finally, there is some potential for successful subseasonal forecasts of spring onset, as indices from most regions are significantly correlated with antecedent large-scale modes of variability.","Ault, Toby R.; Mark D. Schwartz; Raul Zurita-Milla; Jake F. Weltzin; Julio L. Betancourt",10.1175/jcli-d-14-00736.1,21,"Journal of Climate","Climate variability,Decadal variability,Interannual variability,Multidecadal variability,Spring season,Agriculture",8363-8378,"Trends and natural variability of spring onset in the coterminous United States as evaluated by a new gridded dataset of spring indices",28,2015,21918,3307a62c-ed45-4399-bcb9-f77e71b1e626,"Journal Article",/article/10.1175/jcli-d-14-00736.1
/reference/3325ef64-347b-4c33-9289-9e05e905dcbe,https://data.globalchange.gov/reference/3325ef64-347b-4c33-9289-9e05e905dcbe,3325ef64-347b-4c33-9289-9e05e905dcbe,,"Moore, S.K.
Trainer, V.L.
Mantua, N.J.
Parker, M.S.
Laws, E.A.
Backer, L.C.
Fleming, L.E.",10.1186/1476-069X-7-S2-S4,"Suppl 2","Environmental Health",,S4,"Impacts of climate variability and future climate change on harmful algal blooms and human health",7,2008,2079,3325ef64-347b-4c33-9289-9e05e905dcbe,"Journal Article",/article/10.1186/1476-069X-7-S2-S4
/reference/355736ff-9fd5-4aa5-973b-92f8755f1110,https://data.globalchange.gov/reference/355736ff-9fd5-4aa5-973b-92f8755f1110,355736ff-9fd5-4aa5-973b-92f8755f1110,,"Crouch, Jake; Heim, Richard R.; Fenimore, Chris",10.1175/2015BAMSStateoftheClimate.1,8,"Bulletin of the American Meteorological Society",,S175-S176,"Regional climates: United States [in ""State of the Climate in 2015""]",97,2016,26356,355736ff-9fd5-4aa5-973b-92f8755f1110,"Journal Article",/article/10.1175/2015BAMSStateoftheClimate.1
/reference/355da812-737f-42a1-845f-698282d3cbd6,https://data.globalchange.gov/reference/355da812-737f-42a1-845f-698282d3cbd6,355da812-737f-42a1-845f-698282d3cbd6,"During the Medieval Climate Anomaly (MCA), Western North America experienced episodes of intense aridity that persisted for multiple decades or longer. These megadroughts are well documented in many proxy records, but the causal mechanisms are poorly understood. General circulation models (GCMs) simulate megadroughts, but do not reproduce the temporal clustering of events during the MCA, suggesting they are not caused by the time history of volcanic or solar forcing. Instead, GCMs generate megadroughts through (1) internal atmospheric variability, (2) sea-surface temperatures, and (3) land surface and dust aerosol feedbacks. While no hypothesis has been definitively rejected, and no GCM has accurately reproduced all features (e.g., timing, duration, and extent) of any specific megadrought, their persistence suggests a role for processes that impart memory to the climate system (land surface and ocean dynamics). Over the 21st century, GCMs project an increase in the risk of megadrought occurrence through greenhouse gas forced reductions in precipitation and increases in evaporative demand. This drying is robust across models and multiple drought indicators, but major uncertainties still need to be resolved. These include the potential moderation of vegetation evaporative losses at higher atmospheric [CO2], variations in land surface model complexity, and decadal to multidecadal modes of natural climate variability that could delay or advance onset of aridification over the the next several decades. Because future droughts will arise from both natural variability and greenhouse gas forced trends in hydroclimate, improving our understanding of the natural drivers of persistent multidecadal megadroughts should be a major research priority. WIREs Clim Change 2016, 7:411–432. doi: 10.1002/wcc.394 This article is categorized under: Paleoclimates and Current Trends > Paleoclimate Climate Models and Modeling > Knowledge Generation with Models","Cook, Benjamin I.; Cook, Edward R.; Smerdon, Jason E.; Seager, Richard; Williams, A. Park; Coats, Sloan; Stahle, David W.; Díaz, José Villanueva",10.1002/wcc.394,3,"Wiley Interdisciplinary Reviews: Climate Change",,411-432,"North American megadroughts in the Common Era: Reconstructions and simulations",7,2016,26347,355da812-737f-42a1-845f-698282d3cbd6,"Journal Article",/article/10.1002/wcc.394
/reference/35b6273c-6f5b-427e-b559-36c0390f7679,https://data.globalchange.gov/reference/35b6273c-6f5b-427e-b559-36c0390f7679,35b6273c-6f5b-427e-b559-36c0390f7679,,"Arizona Department of Health Services,",,,,,40,"Heat Emergency Response Plan",,2014,23712,35b6273c-6f5b-427e-b559-36c0390f7679,Report,/report/heat-emergency-response-plan
/reference/35f5fd61-d32c-4604-89b4-9bf7de191fc3,https://data.globalchange.gov/reference/35f5fd61-d32c-4604-89b4-9bf7de191fc3,35f5fd61-d32c-4604-89b4-9bf7de191fc3,,"Lute, A. C.; Abatzoglou, J. T.; Hegewisch, K. C.",10.1002/2014WR016267,2,"Water Resources Research","snow; climate variability; climate change; extreme events; 0736 Snow; 1616 Climate variability; 1637 Regional climate change; 1817 Extreme events",960-972,"Projected changes in snowfall extremes and interannual variability of snowfall in the western United States",51,2015,19695,35f5fd61-d32c-4604-89b4-9bf7de191fc3,"Journal Article",/article/10.1002/2014WR016267
/reference/3604af97-e60e-4478-9883-045e8bf9573f,https://data.globalchange.gov/reference/3604af97-e60e-4478-9883-045e8bf9573f,3604af97-e60e-4478-9883-045e8bf9573f,,"Marinucci, Gino; Luber, George; Uejio, Christopher; Saha, Shubhayu; Hess, Jeremy",10.3390/ijerph110606433,6,"International Journal of Environmental Research and Public Health",,6433,"Building resilience against climate effects—A novel framework to facilitate climate readiness in public health agencies",11,2014,23818,3604af97-e60e-4478-9883-045e8bf9573f,"Journal Article",/article/10.3390/ijerph110606433
/reference/36b60b2c-b15a-4830-9f40-4bf832f5242f,https://data.globalchange.gov/reference/36b60b2c-b15a-4830-9f40-4bf832f5242f,36b60b2c-b15a-4830-9f40-4bf832f5242f,,"Trent, R. B.",,,,,10,"Review of July 2006 Heat Wave Related Fatalities in California",,2007,26399,36b60b2c-b15a-4830-9f40-4bf832f5242f,Report,/report/review-july-2006-heat-wave-related-fatalities-california
/reference/371a2787-89a1-48bf-ac3a-15ee3c5be9f3,https://data.globalchange.gov/reference/371a2787-89a1-48bf-ac3a-15ee3c5be9f3,371a2787-89a1-48bf-ac3a-15ee3c5be9f3,,"Das, Tapash; Maurer, Edwin P.; Pierce, David W.; Dettinger, Michael D.; Cayan, Daniel R.",10.1016/j.jhydrol.2013.07.042,,"Journal of Hydrology","Climate change; Statistical downscaling; Flood risk; Sierra Nevada",101-110,"Increases in flood magnitudes in California under warming climates",501,2013,25962,371a2787-89a1-48bf-ac3a-15ee3c5be9f3,"Journal Article",/article/10.1016/j.jhydrol.2013.07.042
/reference/372d0974-9c5c-4501-be26-0a787ba59ec3,https://data.globalchange.gov/reference/372d0974-9c5c-4501-be26-0a787ba59ec3,372d0974-9c5c-4501-be26-0a787ba59ec3,,"Busch, D. Shallin; Griffis, Roger; Link, Jason; Abrams, Karen; Baker, Jason; Brainard, Russell E.; Ford, Michael; Hare, Jonathan A.; Himes-Cornell, Amber; Hollowed, Anne; Mantua, Nathan J.; McClatchie, Sam; McClure, Michelle; Nelson, Mark W.; Osgood, Kenric; Peterson, Jay O.; Rust, Michael; Saba, Vincent; Sigler, Michael F.; Sykora-Bodie, Seth; Toole, Christopher; Thunberg, Eric; Waples, Robin S.; Merrick, Richard",10.1016/j.marpol.2016.09.001,,"Marine Policy","Adaptation; Climate policy; Ecosystem-based management; Fisheries management; Living marine resources; Marine conservation",58-67,"Climate science strategy of the US National Marine Fisheries Service",74,2016,23353,372d0974-9c5c-4501-be26-0a787ba59ec3,"Journal Article",/article/10.1016/j.marpol.2016.09.001
/reference/376d6db3-0999-4bc8-9844-86c5a20ea7a0,https://data.globalchange.gov/reference/376d6db3-0999-4bc8-9844-86c5a20ea7a0,376d6db3-0999-4bc8-9844-86c5a20ea7a0,,"Ziska, Lewis H.; Beggs, Paul J.",10.1016/j.jaci.2011.10.032,1,"Journal of Allergy and Clinical Immunology","Climate change; aerobiology; pollen; allergen; allergic rhinitis; asthma; exposure",27-32,"Anthropogenic climate change and allergen exposure: The role of plant biology",129,2012,23896,376d6db3-0999-4bc8-9844-86c5a20ea7a0,"Journal Article",/article/10.1016/j.jaci.2011.10.032
/reference/37982de0-0e01-476f-b522-b8162d709134,https://data.globalchange.gov/reference/37982de0-0e01-476f-b522-b8162d709134,37982de0-0e01-476f-b522-b8162d709134,,"Gonzalez, P.
Neilson, R. P.
Lenihan, J. M.
Drapek, R. J.",10.1111/j.1466-8238.2010.00558.x,6,"Global Ecology and Biogeography",,755-768,"Global patterns in the vulnerability of ecosystems to vegetation shifts due to climate change",19,2010,780,37982de0-0e01-476f-b522-b8162d709134,"Journal Article",/article/10.1111/j.1466-8238.2010.00558.x
/reference/391560e0-40c1-4f9d-b063-e87d18c87e02,https://data.globalchange.gov/reference/391560e0-40c1-4f9d-b063-e87d18c87e02,391560e0-40c1-4f9d-b063-e87d18c87e02,,"Littell, J.S.
McKenzie, D.
Peterson, D.L.
Westerling, A.L.",10.1890/07-1183.1,4,"Ecological Applications",,1003-1021,"Climate and wildfire area burned in western U.S. ecoprovinces, 1916-2003",19,2009,257,391560e0-40c1-4f9d-b063-e87d18c87e02,"Journal Article",/article/10.1890/07-1183.1
/reference/39467a2f-002f-4e9d-aeb9-2358b7aca14c,https://data.globalchange.gov/reference/39467a2f-002f-4e9d-aeb9-2358b7aca14c,39467a2f-002f-4e9d-aeb9-2358b7aca14c,,"California Energy Commission,",,,,,32,"California Energy Commission: Tracking Progress",,2018,26732,39467a2f-002f-4e9d-aeb9-2358b7aca14c,Report,/report/california-energy-commission-tracking-progress
/reference/3a3c7408-89fa-417a-81c3-0345de986cb0,https://data.globalchange.gov/reference/3a3c7408-89fa-417a-81c3-0345de986cb0,3a3c7408-89fa-417a-81c3-0345de986cb0,,"Gruber, N.
C. Hauri
Z. Lachkar
D. Loher
T.L. Frölicher
G.K. Plattner",10.1126/science.1216773,6091,Science,,220-223,"Rapid progression of ocean acidification in the California Current System",337,2012,1368,3a3c7408-89fa-417a-81c3-0345de986cb0,"Journal Article",/article/10.1126/science.1216773
/reference/3a7765e1-e518-45e4-b42b-a519a2dbc7a2,https://data.globalchange.gov/reference/3a7765e1-e518-45e4-b42b-a519a2dbc7a2,3a7765e1-e518-45e4-b42b-a519a2dbc7a2,,"Norgaard, Kari Marie ",,,,,106,"The Effects of Altered Diet on the Health of the Karuk People",,2005,3908,3a7765e1-e518-45e4-b42b-a519a2dbc7a2,Report,/report/norgaard-effectsaltereddiet-2005
/reference/3b17cf9b-5120-4ef2-a25c-6d31bf3d9ff9,https://data.globalchange.gov/reference/3b17cf9b-5120-4ef2-a25c-6d31bf3d9ff9,3b17cf9b-5120-4ef2-a25c-6d31bf3d9ff9,"Using inorganic carbon measurements from an international survey effort in the 1990s and a tracer-based separation technique, we estimate a global oceanic anthropogenic carbon dioxide (CO2) sink for the period from 1800 to 1994 of 118 ± 19 petagrams of carbon. The oceanic sink accounts for ∼48% of the total fossil-fuel and cement-manufacturing emissions, implying that the terrestrial biosphere was a net source of CO2 to the atmosphere of about 39 ± 28 petagrams of carbon for this period. The current fraction of total anthropogenic CO2 emissions stored in the ocean appears to be about one-third of the long-term potential.","Sabine, Christopher L.
Feely, Richard A.
Gruber, Nicolas
Key, Robert M.
Lee, Kitack
Bullister, John L.
Wanninkhof, Rik
Wong, C. S.
Wallace, Douglas W. R.
Tilbrook, Bronte
Millero, Frank J.
Peng, Tsung-Hung
Kozyr, Alexander
Ono, Tsueno
Rios, Aida F.",10.1126/science.1097403,5682,Science,,367-371,"The oceanic sink for anthropogenic CO2",305,2004,4594,3b17cf9b-5120-4ef2-a25c-6d31bf3d9ff9,"Journal Article",/article/10.1126/science.1097403