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
/reference/3bae2310-7572-47e2-99a4-9e4276764934,https://data.globalchange.gov/reference/3bae2310-7572-47e2-99a4-9e4276764934,3bae2310-7572-47e2-99a4-9e4276764934,,"Sweet, W.V.; R. Horton; R.E. Kopp; A.N. LeGrande; A. Romanou",10.7930/J0VM49F2,,,,333-363,"Sea Level Rise",,2017,21570,3bae2310-7572-47e2-99a4-9e4276764934,"Book Section",/report/climate-science-special-report/chapter/sea-level-rise
/reference/3baf471f-751f-4d68-9227-4197fdbb6e5d,https://data.globalchange.gov/reference/3baf471f-751f-4d68-9227-4197fdbb6e5d,3baf471f-751f-4d68-9227-4197fdbb6e5d,,"Walthall, C.; Backlund, P.; Hatfield, J.; Lengnick, L.; Marshall, E.; Walsh, M.; Adkins, S.; Aillery, M.; Ainsworth, E.A.; Amman, C.; Anderson, C.J.; Bartomeus, I.; Baumgard, L.H.; Booker, F.; Bradley, B.; Blumenthal, D.M.; Bunce, J.; Burkey, K.; Dabney, S.M.; Delgado, J.A.; Dukes, J.; Funk, A.; Garrett, K.; Glenn, M.; Grantz, D.A.; Goodrich, D.; Hu, S.; Izaurralde, R.C.; Jones, R.A.C.; Kim, S-H.; Leaky, A.D.B.; Lewers, K.; Mader, T.L.; McClung, A.; Morgan, J.; Muth, D.J.; Nearing, M.; Oosterhuis, D.M.; Ort, D.; Parmesan, C.; Pettigrew, W.T.; Polley, W.; Rader, R.; Rice, C.; Rivington, M.; Rosskopf, E.; Salas, W.A.; Sollenberger, L.E.; Srygley, R.; Stockle, C.; Takle, E.S.; Timlin, D.; White, J.W.; Winfree, R.; Wright-Morton, L.; Ziska, L.H.",,,,,186,"Climate Change and Agriculture in the United States: Effects and Adaptation",,2012,3329,3baf471f-751f-4d68-9227-4197fdbb6e5d,Report,/report/usda-techbul-1935
/reference/3bde6123-7825-4429-9f28-a0486a8223ad,https://data.globalchange.gov/reference/3bde6123-7825-4429-9f28-a0486a8223ad,3bde6123-7825-4429-9f28-a0486a8223ad,,"Curtin, Charles G.",,,,,,"The Science of Open Spaces: Theory and Practice for Conserving Large, Complex Systems",,2015,26358,3bde6123-7825-4429-9f28-a0486a8223ad,Book,/book/science-open-spaces-theory-practice-conserving-large-complex-systems
/reference/3c0fc226-ca97-4b80-aeb7-517cd5d1acff,https://data.globalchange.gov/reference/3c0fc226-ca97-4b80-aeb7-517cd5d1acff,3c0fc226-ca97-4b80-aeb7-517cd5d1acff,,"Mote, Philip W.; Rupp, David E.; Li, Sihan; Sharp, Darrin J.; Otto, Friederike; Uhe, Peter F.; Xiao, Mu; Lettenmaier, Dennis P.; Cullen, Heidi; Allen, Myles R.",10.1002/2016GL069965,20,"Geophysical Research Letters","snow drought; weather@home; drought; attribution; superensemble; regional climate model; 0736 Snow; 1630 Impacts of global change; 1637 Regional climate change; 1812 Drought; 1863 Snow and ice","10,980-10,988","Perspectives on the causes of exceptionally low 2015 snowpack in the western United States",43,2016,20930,3c0fc226-ca97-4b80-aeb7-517cd5d1acff,"Journal Article",/article/10.1002/2016GL069965
/reference/3c483f61-3d2a-4238-881e-e70ac97f7fb2,https://data.globalchange.gov/reference/3c483f61-3d2a-4238-881e-e70ac97f7fb2,3c483f61-3d2a-4238-881e-e70ac97f7fb2,,"ITEP,",,,,,4,"Tribal Climate Change Profile. Fort McDowell Yavapai: Harnessing Solar Power for Energy Independence and Utilities Savings",,2013,23945,3c483f61-3d2a-4238-881e-e70ac97f7fb2,Report,/report/tribal-climate-change-profile-fort-mcdowell-yavapai-harnessing-solar-power-energy-independence-utilities-savings
/reference/3d53beca-0617-4351-a7e9-f5af06a049dc,https://data.globalchange.gov/reference/3d53beca-0617-4351-a7e9-f5af06a049dc,3d53beca-0617-4351-a7e9-f5af06a049dc,,"Woodhouse, Connie A.; Pederson, Gregory T.; Morino, Kiyomi; McAfee, Stephanie A.; McCabe, Gregory J.",10.1002/2015GL067613,5,"Geophysical Research Letters","Colorado River Basin; warming temperatures; water year streamflow; soil moisture; 1812 Drought; 1860 Streamflow; 1833 Hydroclimatology; 3305 Climate change and variability; 3354 Precipitation",2174-2181,"Increasing influence of air temperature on upper Colorado River streamflow",43,2016,23887,3d53beca-0617-4351-a7e9-f5af06a049dc,"Journal Article",/article/10.1002/2015GL067613
/reference/3d9043af-6837-4573-bf92-e8931b277d26,https://data.globalchange.gov/reference/3d9043af-6837-4573-bf92-e8931b277d26,3d9043af-6837-4573-bf92-e8931b277d26,"The costly interactions between humans and wildfires throughout California demonstrate the need to understand the relationships between them, especially in the face of a changing climate and expanding human communities. Although a number of statistical and process-based wildfire models exist for California, there is enormous uncertainty about the location and number of future fires, with previously published estimates of increases ranging from nine to fifty-three percent by the end of the century. Our goal is to assess the role of climate and anthropogenic influences on the state’s fire regimes from 1975 to 2050. We develop an empirical model that integrates estimates of biophysical indicators relevant to plant communities and anthropogenic influences at each forecast time step. Historically, we find that anthropogenic influences account for up to fifty percent of explanatory power in the model. We also find that the total area burned is likely to increase, with burned area expected to increase by 2.2 and 5.0 percent by 2050 under climatic bookends (PCM and GFDL climate models, respectively). Our two climate models show considerable agreement, but due to potential shifts in rainfall patterns, substantial uncertainty remains for the semiarid inland deserts and coastal areas of the south. Given the strength of human-related variables in some regions, however, it is clear that comprehensive projections of future fire activity should include both anthropogenic and biophysical influences. Previous findings of substantially increased numbers of fires and burned area for California may be tied to omitted variable bias from the exclusion of human influences. The omission of anthropogenic variables in our model would overstate the importance of climatic ones by at least 24%. As such, the failure to include anthropogenic effects in many models likely overstates the response of wildfire to climatic change.","Mann, Michael L.; Batllori, Enric; Moritz, Max A.; Waller, Eric K.; Berck, Peter; Flint, Alan L.; Flint, Lorraine E.; Dolfi, Emmalee",10.1371/journal.pone.0153589,4,"PLOS ONE",,e0153589,"Incorporating anthropogenic influences into fire probability models: Effects of human activity and climate change on fire activity in California",11,2016,23684,3d9043af-6837-4573-bf92-e8931b277d26,"Journal Article",/article/10.1371/journal.pone.0153589
/reference/3d9b7135-b89c-4a20-a660-13217078a6ee,https://data.globalchange.gov/reference/3d9b7135-b89c-4a20-a660-13217078a6ee,3d9b7135-b89c-4a20-a660-13217078a6ee,,"Roach, M.; Brown, Heidi; Wilder, Margaret; Smith, G.; Chambers, S.; Patten, I.; Rabby, Q.",,,,,,"Assessment of Climate and Health Impacts on Vector-Borne Diseases and Valley Fever in Arizona. Report for the Arizona Department of Health Services and the U.S. Centers for Disease Control and Prevention Climate-Ready States and Cities Initiative.",,2017,23923,3d9b7135-b89c-4a20-a660-13217078a6ee,Report,/report/assessment-climate-health-impacts-on-vector-borne-diseases-valley-fever-arizona-report-arizona-department-health-services-us-centers-disease-control-prevention-climate-ready-states-cities-initiative
/reference/3def47b9-0e32-440b-bef1-f9bc176a7dd0,https://data.globalchange.gov/reference/3def47b9-0e32-440b-bef1-f9bc176a7dd0,3def47b9-0e32-440b-bef1-f9bc176a7dd0,"Although disturbances such as fire and native insects can contribute to natural dynamics of forest health, exceptional droughts, directly and in combination with other disturbance factors, are pushing some temperate forests beyond thresholds of sustainability. Interactions from increasing temperatures, drought, native insects and pathogens, and uncharacteristically severe wildfire are resulting in forest mortality beyond the levels of 20th-century experience. Additional anthropogenic stressors, such as atmospheric pollution and invasive species, further weaken trees in some regions. Although continuing climate change will likely drive many areas of temperate forest toward large-scale transformations, management actions can help ease transitions and minimize losses of socially valued ecosystem services.","Millar, Constance I.; Stephenson, Nathan L.",10.1126/science.aaa9933,6250,Science,,823-826,"Temperate forest health in an era of emerging megadisturbance",349,2015,21196,3def47b9-0e32-440b-bef1-f9bc176a7dd0,"Journal Article",/article/10.1126/science.aaa9933
/reference/3f9da3c6-9da3-41ad-9e91-b22d4cf2245d,https://data.globalchange.gov/reference/3f9da3c6-9da3-41ad-9e91-b22d4cf2245d,3f9da3c6-9da3-41ad-9e91-b22d4cf2245d,,"Yardley, Jane E.; Stapleton, Jill M.; Sigal, Ronald J.; Kenny, Glen P.",10.1089/dia.2012.0324,6,"Diabetes Technology & Therapeutics",,520-529,"Do heat events pose a greater health risk for individuals with Type 2 diabetes?",15,2013,23890,3f9da3c6-9da3-41ad-9e91-b22d4cf2245d,"Journal Article",/article/10.1089/dia.2012.0324
/reference/3fbbd0b8-e2cd-4d09-bfab-ea2d4d04ee52,https://data.globalchange.gov/reference/3fbbd0b8-e2cd-4d09-bfab-ea2d4d04ee52,3fbbd0b8-e2cd-4d09-bfab-ea2d4d04ee52,,"Brouillard, Brent M.; Dickenson, Eric R. V.; Mikkelson, Kristin M.; Sharp, Jonathan O.",10.1016/j.scitotenv.2016.06.106,,"Science of The Total Environment","Total organic carbon; Disinfection byproducts; Tree mortality; Bark beetle infestation; Hydrologic drivers",649-659,"Water quality following extensive beetle-induced tree mortality: Interplay of aromatic carbon loading, disinfection byproducts, and hydrologic drivers",572,2016,23732,3fbbd0b8-e2cd-4d09-bfab-ea2d4d04ee52,"Journal Article",/article/10.1016/j.scitotenv.2016.06.106
/reference/3ffafef5-60a1-4b91-aacf-4e2e22727d4c,https://data.globalchange.gov/reference/3ffafef5-60a1-4b91-aacf-4e2e22727d4c,3ffafef5-60a1-4b91-aacf-4e2e22727d4c,,"Lydersen, Jamie M.; Collins, Brandon M.; Brooks, Matthew L.; Matchett, John R.; Shive, Kristen L.; Povak, Nicholas A.; Kane, Van R.; Smith, Douglas F.",10.1002/eap.1586,7,"Ecological Applications","fire progression; fire severity; fuels reduction; fuels treatment; landscape analysis; mixed conifer forest; Rim Fire; Stanislaus National Forest; thinning; wildfire; Yosemite National Park",2013-2030,"Evidence of fuels management and fire weather influencing fire severity in an extreme fire event",27,2017,23813,3ffafef5-60a1-4b91-aacf-4e2e22727d4c,"Journal Article",/article/10.1002/eap.1586
/reference/4079aea0-5440-49ce-b828-d0a239907bfb,https://data.globalchange.gov/reference/4079aea0-5440-49ce-b828-d0a239907bfb,4079aea0-5440-49ce-b828-d0a239907bfb,,"Gonzalez, Patrick; Battles, John J.; Collins, Brandon M.; Robards, Timothy; Saah, David S.",10.1016/j.foreco.2015.03.040,,"Forest Ecology and Management","Carbon; Climate change; Protected areas; Uncertainty; Wildfire",68-77,"Aboveground live carbon stock changes of California wildland ecosystems, 2001–2010",348,2015,23771,4079aea0-5440-49ce-b828-d0a239907bfb,"Journal Article",/article/10.1016/j.foreco.2015.03.040
/reference/40ffbbdf-74f1-4511-b1f1-a2b2a165185e,https://data.globalchange.gov/reference/40ffbbdf-74f1-4511-b1f1-a2b2a165185e,40ffbbdf-74f1-4511-b1f1-a2b2a165185e,"Most extreme precipitation events that occur along the North American west coast are associated with winter atmospheric river (AR) events. Global climate models have sufficient resolution to simulate synoptic features associated with AR events, such as high values of vertically integrated water vapor transport (IVT) approaching the coast. From phase 5 of the Coupled Model Intercomparison Project (CMIP5), 10 simulations are used to identify changes in ARs impacting the west coast of North America between historical (1970–99) and end-of-century (2070–99) runs, using representative concentration pathway (RCP) 8.5. The most extreme ARs are identified in both time periods by the 99th percentile of IVT days along a north–south transect offshore of the coast. Integrated water vapor (IWV) and IVT are predicted to increase, while lower-tropospheric winds change little. Winter mean precipitation along the west coast increases by 11%–18% [from 4% to 6% (°C)−1], while precipitation on extreme IVT days increases by 15%–39% [from 5% to 19% (°C)−1]. The frequency of IVT days above the historical 99th percentile threshold increases as much as 290% by the end of this century.","Michael D. Warner; Clifford F. Mass; Salathé Jr., Eric P.",10.1175/JHM-D-14-0080.1,1,"Journal of Hydrometeorology","North America,North Pacific Ocean,Extreme events,Flood events,Precipitation,Climate change",118-128,"Changes in winter atmospheric rivers along the North American West Coast in CMIP5 climate models",16,2015,19769,40ffbbdf-74f1-4511-b1f1-a2b2a165185e,"Journal Article",/article/10.1175/JHM-D-14-0080.1
/reference/4192437a-d6c8-4b61-b051-8b2e0721279a,https://data.globalchange.gov/reference/4192437a-d6c8-4b61-b051-8b2e0721279a,4192437a-d6c8-4b61-b051-8b2e0721279a,,"Craine, J.M.
Elmore, A.J.
Olson, KC
Tolleson, D.",10.1111/j.1365-2486.2009.02060.x,10,"Global Change Biology",,2901-2911,"Climate change and cattle nutritional stress",16,2010,273,4192437a-d6c8-4b61-b051-8b2e0721279a,"Journal Article",/article/10.1111/j.1365-2486.2009.02060.x
/reference/4308e866-5976-4181-8102-24b521ff4033,https://data.globalchange.gov/reference/4308e866-5976-4181-8102-24b521ff4033,4308e866-5976-4181-8102-24b521ff4033,,"Belova, Anna; David Mills; Ronald Hall; Alexis St. Juliana; Allison Crimmins; Chris Barker; Russell Jones",10.4236/ajcc.2017.61010,1,"American Journal of Climate Change",,75278,"Impacts of increasing temperature on the future incidence of West Nile neuroinvasive disease in the United States",6,2017,23725,4308e866-5976-4181-8102-24b521ff4033,"Journal Article",/article/10.4236/ajcc.2017.61010
/reference/437ba8f2-66cf-44f5-8bea-173c02458858,https://data.globalchange.gov/reference/437ba8f2-66cf-44f5-8bea-173c02458858,437ba8f2-66cf-44f5-8bea-173c02458858,,"EIA,",,,,,25,"Energy-Related Carbon Dioxide Emissions at the State Level, 2000-2014",,2017,23904,437ba8f2-66cf-44f5-8bea-173c02458858,Report,/report/energy-related-carbon-dioxide-emissions-at-state-level-2000-2014
/reference/43e0a0e0-057e-4ebd-aede-f3766cfa02a5,https://data.globalchange.gov/reference/43e0a0e0-057e-4ebd-aede-f3766cfa02a5,43e0a0e0-057e-4ebd-aede-f3766cfa02a5,,"Dettinger, Michael; Udall, Bradley; Georgakakos, Aris",10.1890/15-0938.1,8,"Ecological Applications","Centennial Paper; climate change; Colorado River; Klamath River; Rio Grande; Sacramento–San Joaquin Bay Delta; water resources; western United States",2069-2093,"Western water and climate change",25,2015,23758,43e0a0e0-057e-4ebd-aede-f3766cfa02a5,"Journal Article",/article/10.1890/15-0938.1
/reference/4401b714-c4aa-4e90-af15-4153b3c6880a,https://data.globalchange.gov/reference/4401b714-c4aa-4e90-af15-4153b3c6880a,4401b714-c4aa-4e90-af15-4153b3c6880a,"Refugia have long been studied from paleontological and biogeographical perspectives to understand how populations persisted during past periods of unfavorable climate. Recently, researchers have applied the idea to contemporary landscapes to identify climate change refugia, here defined as areas relatively buffered from contemporary climate change over time that enable persistence of valued physical, ecological, and socio-cultural resources. We differentiate historical and contemporary views, and characterize physical and ecological processes that create and maintain climate change refugia. We then delineate how refugia can fit into existing decision support frameworks for climate adaptation and describe seven steps for managing them. Finally, we identify challenges and opportunities for operationalizing the concept of climate change refugia. Managing climate change refugia can be an important option for conservation in the face of ongoing climate change.","Morelli, Toni Lyn; Daly, Christopher; Dobrowski, Solomon Z.; Dulen, Deanna M.; Ebersole, Joseph L.; Jackson, Stephen T.; Lundquist, Jessica D.; Millar, Constance I.; Maher, Sean P.; Monahan, William B.; Nydick, Koren R.; Redmond, Kelly T.; Sawyer, Sarah C.; Stock, Sarah; Beissinger, Steven R.",10.1371/journal.pone.0159909,8,"PLOS ONE",,e0159909,"Managing climate change refugia for climate adaptation",11,2016,23422,4401b714-c4aa-4e90-af15-4153b3c6880a,"Journal Article",/article/10.1371/journal.pone.0159909
/reference/4411e040-3b14-4d03-a44c-1fd33582e496,https://data.globalchange.gov/reference/4411e040-3b14-4d03-a44c-1fd33582e496,4411e040-3b14-4d03-a44c-1fd33582e496,"Over the last century, northeast Pacific coastal sea surface temperatures (SSTs) and land-based surface air temperatures (SATs) display multidecadal variations associated with the Pacific Decadal Oscillation, in addition to a warming trend of ∼0.5–1 °C. Using independent records of sea-level pressure (SLP), SST, and SAT, this study investigates northeast (NE) Pacific coupled atmosphere–ocean variability from 1900 to 2012, with emphasis on the coastal areas around North America. We use a linear stochastic time series model to show that the SST evolution around the NE Pacific coast can be explained by a combination of regional atmospheric forcing and ocean persistence, accounting for 63% of nonseasonal monthly SST variance (r = 0.79) and 73% of variance in annual means (r = 0.86). We show that SLP reductions and related atmospheric forcing led to century-long warming around the NE Pacific margins, with the strongest trends observed from 1910–1920 to 1940. NE Pacific circulation changes are estimated to account for more than 80% of the 1900–2012 linear warming in coastal NE Pacific SST and US Pacific northwest (Washington, Oregon, and northern California) SAT. An ensemble of climate model simulations run under the same historical radiative forcings fails to reproduce the observed regional circulation trends. These results suggest that natural internally generated changes in atmospheric circulation were the primary cause of coastal NE Pacific warming from 1900 to 2012 and demonstrate more generally that regional mechanisms of interannual and multidecadal temperature variability can also extend to century time scales.","Johnstone, James A.; Mantua, Nathan J.",10.1073/pnas.1318371111,40,"Proceedings of the National Academy of Sciences of the United States of America",,14360-14365,"Atmospheric controls on northeast Pacific temperature variability and change, 1900–2012",111,2014,20548,4411e040-3b14-4d03-a44c-1fd33582e496,"Journal Article",/article/10.1073/pnas.1318371111
/reference/4442506b-fbba-41ea-9cef-1eac88ce2049,https://data.globalchange.gov/reference/4442506b-fbba-41ea-9cef-1eac88ce2049,4442506b-fbba-41ea-9cef-1eac88ce2049,,"Frisvold, G. 
L.E. Jackson 
J.G. Pritchett 
J. Ritten",,,,,218-239,"Ch. 11: Agriculture and ranching",,2013,57,4442506b-fbba-41ea-9cef-1eac88ce2049,"Book Section",/book/c9625c65-c20f-4163-87fe-cebf734f7836
/reference/449cf522-1bde-4f6f-8e24-2d5685ddf235,https://data.globalchange.gov/reference/449cf522-1bde-4f6f-8e24-2d5685ddf235,449cf522-1bde-4f6f-8e24-2d5685ddf235,"Declining mountain snowpack and earlier snowmelt across the western United States has implications for downstream communities. We present a possible mechanism linking snowmelt rate and streamflow generation using a gridded implementation of the Budyko framework. We computed an ensemble of Budyko streamflow anomalies (BSAs) using Variable Infiltration Capacity model-simulated evapotranspiration, potential evapotranspiration, and estimated precipitation at 1/16° resolution from 1950 to 2013. BSA was correlated with simulated baseflow efficiency (r2 = 0.64) and simulated snowmelt rate (r2 = 0.42). The strong correlation between snowmelt rate and baseflow efficiency (r2 = 0.73) links these relationships and supports a possible streamflow generation mechanism wherein greater snowmelt rates increase subsurface flow. Rapid snowmelt may thus bring the soil to field capacity, facilitating below-root zone percolation, streamflow, and a positive BSA. Previous works have shown that future increases in regional air temperature may lead to earlier, slower snowmelt and hence decreased streamflow production via the mechanism proposed by this work.","Barnhart, Theodore B.; Molotch, Noah P.; Livneh, Ben; Harpold, Adrian A.; Knowles, John F.; Schneider, Dominik",10.1002/2016GL069690,15,"Geophysical Research Letters",,8006-8016,"Snowmelt rate dictates streamflow",43,2016,25958,449cf522-1bde-4f6f-8e24-2d5685ddf235,"Journal Article",/article/10.1002/2016GL069690
/reference/44ce5933-c657-477a-b2d0-91367949a47f,https://data.globalchange.gov/reference/44ce5933-c657-477a-b2d0-91367949a47f,44ce5933-c657-477a-b2d0-91367949a47f,,"Allen, Larry S.",10.2111/1551-501X(2006)28[17:CITBTM]2.0.CO;2,3,Rangelands,,17-21,"Collaboration in the Borderlands: The Malpai Borderlands Group",28,2006,23708,44ce5933-c657-477a-b2d0-91367949a47f,"Journal Article",/article/10.2111/1551-501X(2006)28%5B17:CITBTM%5D2.0.CO;2
/reference/456f68bb-c834-4003-b130-47c6fd6bb3a7,https://data.globalchange.gov/reference/456f68bb-c834-4003-b130-47c6fd6bb3a7,456f68bb-c834-4003-b130-47c6fd6bb3a7,,"Worfolk, Jean B.",10.1067/mgn.2000.107131,2,"Geriatric Nursing",,70-77,"Heat waves: Their impact on the health of elders",21,2000,23888,456f68bb-c834-4003-b130-47c6fd6bb3a7,"Journal Article",/article/10.1067/mgn.2000.107131
/reference/4644d099-f5ae-4db5-99b5-8a683b4e1933,https://data.globalchange.gov/reference/4644d099-f5ae-4db5-99b5-8a683b4e1933,4644d099-f5ae-4db5-99b5-8a683b4e1933,,"Elias, E. H.; Rango, A.; Steele, C. M.; Mejia, J. F.; Smith, R.",10.1016/j.ejrh.2015.04.004,,"Journal of Hydrology: Regional Studies","Snowmelt runoff model; Climate change; Upper Rio Grande; Water resources",525-546,"Assessing climate change impacts on water availability of snowmelt-dominated basins of the Upper Rio Grande basin",3,2015,23760,4644d099-f5ae-4db5-99b5-8a683b4e1933,"Journal Article",/article/10.1016/j.ejrh.2015.04.004