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/5a014fc7-218e-4116-88e9-c47a65b48e8c,https://data.globalchange.gov/reference/5a014fc7-218e-4116-88e9-c47a65b48e8c,5a014fc7-218e-4116-88e9-c47a65b48e8c,"The Yakima River Basin (Basin) in south-central Washington is a prime example of a place where competing water uses, coupled with over-allocation of water resources, have presented water managers with the challenge of meeting current demand, anticipating future demand, and preparing for potential impacts of climate change. We took a decision analysis approach that gathered diverse stakeholders to discuss their concerns pertaining to climate change effects on the Basin and future goals that were collectively important. One main focus was centered on how climate change may influence future salmon populations. Salmon have played a prominent role in the cultures of Basin communities, especially for tribal communities that have social, cultural, spiritual, subsistence, and economic ties to them. Stakeholders identified the need for a better understanding on how the cultural, spiritual, subsistence, and economic aspects of the Confederated Tribes and Bands of the Yakama Nation could be affected by changes in salmon populations. In an attempt to understand the complexities of these potential effects, this paper proposes a conceptual model which 1) identifies cultural values and components and the interactions between those components that could influence tribal well-being, and 2) shows how federal natural resource managers could incorporate intangible tribal cultural components into decision-making processes by understanding important components of tribal well-being. Future work includes defining the parameterization of the cultural components in order for the conceptual model to be incorporated with biophysical resource models for scenario simulations.","Montag, J. M.; Swan, K.; Jenni, K.; Nieman, T.; Hatten, J.; Mesa, M.; Graves, D.; Voss, F.; Mastin, M.; Hardiman, J.; Maule, A.",10.1007/s10584-013-1001-3,"May 01",1573-1480,1,"Climatic Change",385-398,"Climate change and Yakama Nation tribal well-being","journal article",124,2014,21116,5a014fc7-218e-4116-88e9-c47a65b48e8c,"Journal Article",/article/10.1007/s10584-013-1001-3
/reference/5a61cfba-f943-4d68-b213-ed7eedc8e21e,https://data.globalchange.gov/reference/5a61cfba-f943-4d68-b213-ed7eedc8e21e,5a61cfba-f943-4d68-b213-ed7eedc8e21e,,"Sinha, Paramita; Maureen L. Cropper",10.3386/w18756,,,,,49,"The Value of Climate Amenities: Evidence from US Migration Decisions",,,2013,21325,5a61cfba-f943-4d68-b213-ed7eedc8e21e,Report,/report/value-climate-amenities-evidence-us-migration-decisions
/reference/5b754441-464c-49fd-90e8-c184fc2ba1f5,https://data.globalchange.gov/reference/5b754441-464c-49fd-90e8-c184fc2ba1f5,5b754441-464c-49fd-90e8-c184fc2ba1f5,,"Norton-Smith, Kathryn; Kathy Lynn; Karletta Chief; Karen Cozzetto; Jamie Donatuto; Margaret Hiza Redsteer; Linda E. Kruger; Julie Maldonado; Carson Viles; Kyle P. Whyte",,,,,,136,"Climate Change and Indigenous Peoples: A Synthesis of Current Impacts and Experiences",,,2016,21324,5b754441-464c-49fd-90e8-c184fc2ba1f5,Report,/report/climate-change-indigenous-peoples-synthesis-current-impacts-experiences
/reference/5b7e5de3-722a-4010-8d86-44e9722e3da9,https://data.globalchange.gov/reference/5b7e5de3-722a-4010-8d86-44e9722e3da9,5b7e5de3-722a-4010-8d86-44e9722e3da9,"We present a hedonic framework to estimate US households’ preferences over local climates, using detailed weather and 2000 Census data. We find that Americans favor a daily average temperature of 65 degrees Fahrenheit, that they will pay more on the margin to avoid excess heat than cold, and that damages increase less than linearly over extreme cold. These preferences vary by location due to sorting or adaptation. Changes in climate amenities under business-as-usual predictions imply annual welfare losses of 1%–4% of income by 2100, holding technology and preferences constant.","Albouy, David; Walter Graf; Ryan Kellogg; Hendrik Wolff",10.1086/684573,,,1,"Journal of the Association of Environmental and Resource Economists",205-246,"Climate amenities, climate change, and American quality of life",,3,2016,21320,5b7e5de3-722a-4010-8d86-44e9722e3da9,"Journal Article",/article/10.1086/684573
/reference/5c614c37-2c94-413e-85d1-28d44b88d452,https://data.globalchange.gov/reference/5c614c37-2c94-413e-85d1-28d44b88d452,5c614c37-2c94-413e-85d1-28d44b88d452,,"Sawant, Abhiman Arjun; S. C. Patil; S. B. Kalse; N. J. Thakor",,,1682-1130,2,"Agricultural Engineering International: CIGR Journal",110-118,"Effect of temperature, relative humidity and moisture content on germination percentage of wheat stored in different storage structures",,14,2012,21245,5c614c37-2c94-413e-85d1-28d44b88d452,"Journal Article",/article/effect-temperature-relative-humidity-moisture-content-on-germination-percentage-wheat-stored-different-storage-structures
/reference/5cdf81b6-cd80-43c7-a4d5-421aa77f16ea,https://data.globalchange.gov/reference/5cdf81b6-cd80-43c7-a4d5-421aa77f16ea,5cdf81b6-cd80-43c7-a4d5-421aa77f16ea,,"Wisconsin Sea Grant Institute,",,,,,,,"Great Lakes and Wisconsin Water Facts: Great Lakes and Fresh Water",,,2013,21286,5cdf81b6-cd80-43c7-a4d5-421aa77f16ea,"Press Release",/generic/d74e95e6-a4bb-491e-93a3-1e20b5c659be
/reference/5cee6e59-0713-4a56-abae-6f60119df8e5,https://data.globalchange.gov/reference/5cee6e59-0713-4a56-abae-6f60119df8e5,5cee6e59-0713-4a56-abae-6f60119df8e5,,"Brook, B. W.
Sodhi, N. S. 
Bradshaw, C. J. A.",10.1016/j.tree.2008.03.011,,,8,"Trends in Ecology & Evolution",453-460,"Synergies among extinction drivers under global change",,23,2008,1639,5cee6e59-0713-4a56-abae-6f60119df8e5,"Journal Article",/article/10.1016/j.tree.2008.03.011
/reference/5d9dedb4-4383-471f-9cee-05e0b16a457c,https://data.globalchange.gov/reference/5d9dedb4-4383-471f-9cee-05e0b16a457c,5d9dedb4-4383-471f-9cee-05e0b16a457c,,"Wang, J.
Bai, X.
Hu, H.
Clites, A.
Colton, M.
Lofgren, B.",10.1175/2011JCLI4066.1,,1520-0442,,"Journal of Climate",1318-1329,"Temporal and spatial variability of Great Lakes ice cover, 1973-2010",,25,2012,3334,5d9dedb4-4383-471f-9cee-05e0b16a457c,"Journal Article",/article/10.1175/2011JCLI4066.1
/reference/5e52fc67-5cac-4d45-814b-31d3542c9aa6,https://data.globalchange.gov/reference/5e52fc67-5cac-4d45-814b-31d3542c9aa6,5e52fc67-5cac-4d45-814b-31d3542c9aa6,"High-resolution Weather Research and Forecasting Model (WRF) simulations are used to explore the sensitivity of Great Lakes lake-effect snowfall (LES) to changes in lake ice cover and surface temperature. A control simulation with observed ice cover is compared with three sensitivity tests: complete ice cover, no lake ice, and warmer lake surface temperatures. The spatial pattern of unfrozen lake surfaces determines the placement of LES, and complete ice cover eliminates it. Removal of ice cover and an increase in lake temperatures result in an expansion of the LES area both along and downwind of the lake shore, as well as an increase in snowfall amount. While lake temperatures and phase determine the amount and spatial coverage of LES, the finescale distribution of LES is strongly affected by the interaction between lake surface fluxes, the large-scale flow, and the local lake shore geography and inland topography. As a consequence, the sensitivity of LES to topography and shore geometry differs for lakes with short versus long overwater fetch. These simulations indicate that coarse-resolution models may be able to realistically reproduce the gross features of LES in future climates, but will miss the important local-scale interactions that determine the location and intensity of LES.","Wright, David M.; Derek J. Posselt; Allison L. Steiner",10.1175/mwr-d-12-00038.1,,,2,"Monthly Weather Review",670-689,"Sensitivity of lake-effect snowfall to lake ice cover and temperature in the Great Lakes region",,141,2013,21206,5e52fc67-5cac-4d45-814b-31d3542c9aa6,"Journal Article",/article/10.1175/mwr-d-12-00038.1
/reference/5eace42f-0819-4bec-a799-23c78ad4b486,https://data.globalchange.gov/reference/5eace42f-0819-4bec-a799-23c78ad4b486,5eace42f-0819-4bec-a799-23c78ad4b486,,"Lewis, Craig R. G.; Bunter, Kim L.",,"October 2010",,,,87-96,"Heat stress: The effects of temperature on production and reproduction traits",,,2010,21259,5eace42f-0819-4bec-a799-23c78ad4b486,"Conference Paper",/generic/61088891-83e5-44bf-bed7-a19fa362a2af
/reference/5ec155e5-8b77-438f-afa9-fbcac4d27690,https://data.globalchange.gov/reference/5ec155e5-8b77-438f-afa9-fbcac4d27690,5ec155e5-8b77-438f-afa9-fbcac4d27690,,"Fann, Neal; Brennan, Terry; Dolwick, Patrick; Gamble, Janet L.; Ilacqua, Vito; Kolb, Laura; Nolte, Christopher G.; Spero, Tanya L.; Ziska, Lewis",10.7930/J0GQ6VP6,,,,,"69–98","Ch. 3: Air quality impacts",,,2016,19375,5ec155e5-8b77-438f-afa9-fbcac4d27690,"Book Section",/report/usgcrp-climate-human-health-assessment-2016/chapter/air-quality-impacts
/reference/5f03ce2f-b3e2-4d1a-a240-dddf2703a576,https://data.globalchange.gov/reference/5f03ce2f-b3e2-4d1a-a240-dddf2703a576,5f03ce2f-b3e2-4d1a-a240-dddf2703a576,,"Will, Rodney E.; Wilson, Stuart M.; Zou, Chris B.; Hennessey, Thomas C.",10.1111/nph.12321,,1469-8137,2,"New Phytologist",366-374,"Increased vapor pressure deficit due to higher temperature leads to greater transpiration and faster mortality during drought for tree seedlings common to the forest–grassland ecotone",,200,2013,21193,5f03ce2f-b3e2-4d1a-a240-dddf2703a576,"Journal Article",/article/10.1111/nph.12321
/reference/5fc6b656-6d43-40ab-85f6-f52756e393a6,https://data.globalchange.gov/reference/5fc6b656-6d43-40ab-85f6-f52756e393a6,5fc6b656-6d43-40ab-85f6-f52756e393a6,,"Honsey, Andrew E.; Donabauer, Steven B.; Höök, Tomas O.",10.1080/00028487.2015.1125949,2016/03/03,0002-8487,2,"Transactions of the American Fisheries Society",363-373,"An analysis of lake morphometric and land-use characteristics that promote persistence of Cisco in Indiana",,145,2016,26576,5fc6b656-6d43-40ab-85f6-f52756e393a6,"Journal Article",/article/10.1080/00028487.2015.1125949
/reference/5ff98034-9119-447a-be35-972392dc7c7d,https://data.globalchange.gov/reference/5ff98034-9119-447a-be35-972392dc7c7d,5ff98034-9119-447a-be35-972392dc7c7d,"There are limited examples of efforts to systematically monitor and track climate change adaptation progress in the context of natural resource management, despite substantial investments in adaptation initiatives. To better understand the status of adaptation within state natural resource agencies, we utilized and problematized a rational decision-making framework to characterize adaptation at the level of public land managers in the Upper Midwest. We conducted in-depth interviews with 29 biologists and foresters to provide an understanding of managers’ experiences with, and perceptions of, climate change impacts, efforts towards planning for climate change, and a full range of actions implemented to address climate change. While the majority of managers identified climate change impacts affecting their region, they expressed significant uncertainty in interpreting those signals. Just under half of managers indicated planning efforts are underway, although most planning is remote from local management. Actions already implemented include both forward-looking measures and those aimed at coping with current impacts. In addition, cross-scale dynamics emerged as an important theme related to the overall adaptation process. The results hold implications for tracking future progress on climate change adaptation. Common definitions or measures of adaptation (e.g., presence of planning documents) may need to be reassessed for applicability at the level of public land managers.","Anhalt-Depies, Christine M.; Knoot, Tricia Gorby; Rissman, Adena R.; Sharp, Anthony K.; Martin, Karl J.",10.1007/s00267-016-0673-7,"May 01",1432-1009,5,"Environmental Management",987-997,"Understanding climate adaptation on public lands in the Upper Midwest: Implications for monitoring and tracking progress","journal article",57,2016,21112,5ff98034-9119-447a-be35-972392dc7c7d,"Journal Article",/article/10.1007/s00267-016-0673-7
/reference/60953828-8a3e-44e3-857c-f4e1e54f4fe0,https://data.globalchange.gov/reference/60953828-8a3e-44e3-857c-f4e1e54f4fe0,60953828-8a3e-44e3-857c-f4e1e54f4fe0,,"Garris, Heath W.; Mitchell, Randall J.; Fraser, Lauchlan H.; Barrett, Linda R.",10.1111/gcb.12748,,1365-2486,2,"Global Change Biology",766-776,"Forecasting climate change impacts on the distribution of wetland habitat in the Midwestern United states",,21,2015,21185,60953828-8a3e-44e3-857c-f4e1e54f4fe0,"Journal Article",/article/10.1111/gcb.12748
/reference/60993164-dfa3-4186-afc7-41f843ed8f43,https://data.globalchange.gov/reference/60993164-dfa3-4186-afc7-41f843ed8f43,60993164-dfa3-4186-afc7-41f843ed8f43,,"Jiang, Liping; Fang, Xing",10.3390/w8070279,,2073-4441,7,Water,279,"Simulation and validation of cisco lethal conditions in Minnesota lakes under past and future climate scenarios using constant survival limits",,8,2016,26582,60993164-dfa3-4186-afc7-41f843ed8f43,"Journal Article",/article/10.3390/w8070279
/reference/60b2320f-bcbb-40fe-911b-83fa5ca983a2,https://data.globalchange.gov/reference/60b2320f-bcbb-40fe-911b-83fa5ca983a2,60b2320f-bcbb-40fe-911b-83fa5ca983a2,,"Haigh, Tonya; Takle, Eugene; Andresen, Jeffrey; Widhalm, Melissa; Carlton, J. Stuart; Angel, Jim",10.1016/j.crm.2015.01.004,2015/01/01/,2212-0963,,"Climate Risk Management",20-30,"Mapping the decision points and climate information use of agricultural producers across the U.S. corn belt",,7,2015,21128,60b2320f-bcbb-40fe-911b-83fa5ca983a2,"Journal Article",/article/10.1016/j.crm.2015.01.004
/reference/62b16439-014f-4a7a-9b2f-33d475e29f56,https://data.globalchange.gov/reference/62b16439-014f-4a7a-9b2f-33d475e29f56,62b16439-014f-4a7a-9b2f-33d475e29f56,,"Worrall, James J.; Rehfeldt, Gerald E.; Hamann, Andreas; Hogg, Edward H.; Marchetti, Suzanne B.; Michaelian, Michael; Gray, Laura K.",10.1016/j.foreco.2012.12.033,2013/07/01/,0378-1127,,"Forest Ecology and Management",35-51,"Recent declines of Populus tremuloides in North America linked to climate",,299,2013,21136,62b16439-014f-4a7a-9b2f-33d475e29f56,"Journal Article",/article/10.1016/j.foreco.2012.12.033
/reference/62f3e347-df12-4e10-b62e-885183b9643d,https://data.globalchange.gov/reference/62f3e347-df12-4e10-b62e-885183b9643d,62f3e347-df12-4e10-b62e-885183b9643d,,"Liu, Qiong; Ravanlou, Abbasali; Babadoost, Mohammad",10.1094/PDIS-01-16-0107-RE,2016/12/01,0191-2917,12,"Plant Disease",2377-2382,"Occurrence of bacterial spot on pumpkin and squash fruit in the north central region of the United States and bacteria associated with the spots",,100,2016,21180,62f3e347-df12-4e10-b62e-885183b9643d,"Journal Article",/article/10.1094/PDIS-01-16-0107-RE
/reference/6352c444-c49b-4dac-b375-2b72b8532ebe,https://data.globalchange.gov/reference/6352c444-c49b-4dac-b375-2b72b8532ebe,6352c444-c49b-4dac-b375-2b72b8532ebe,,"Brandt, Leslie; Derby Lewis, Abigail; Fahey, Robert; Scott, Lydia; Darling, Lindsay; Swanston, Chris",10.1016/j.envsci.2016.06.005,2016/12/01/,1462-9011,,"Environmental Science & Policy",393-402,"A framework for adapting urban forests to climate change",,66,2016,21135,6352c444-c49b-4dac-b375-2b72b8532ebe,"Journal Article",/article/10.1016/j.envsci.2016.06.005
/reference/64513762-d666-447a-b19d-18bcd9cb0b80,https://data.globalchange.gov/reference/64513762-d666-447a-b19d-18bcd9cb0b80,64513762-d666-447a-b19d-18bcd9cb0b80,,"Atungulu, G. R.",,,,,,,"Management of in-bin grain drying and storage systems for improved grain quality and prevention of mycotoxins",,,2017,21251,64513762-d666-447a-b19d-18bcd9cb0b80,"Web Page",/webpage/c88b2f45-d5b7-4901-a0e9-3e85da1b3403
/reference/64da1825-dd24-4bc9-9545-861f4e483498,https://data.globalchange.gov/reference/64da1825-dd24-4bc9-9545-861f4e483498,64da1825-dd24-4bc9-9545-861f4e483498,,"Council for State and Territorial Epidemiologists (CSTE),",,,,,,12,"Heat-related illness syndrome query: A guidance document for implementing heat-related illness syndromic surveillance in public health practice",,,2016,21288,64da1825-dd24-4bc9-9545-861f4e483498,Report,/report/heat-related-illness-syndrome-query-guidance-document-implementing-heat-related-illness-syndromic-surveillance-public-health-practice
/reference/64e82a6d-9331-443b-9329-74e5e25536bf,https://data.globalchange.gov/reference/64e82a6d-9331-443b-9329-74e5e25536bf,64e82a6d-9331-443b-9329-74e5e25536bf,"Statistical methods are commonly used to evaluate natural populations and environmental variables, yet these must recognize temporal trends in population character to be appropriate in an evolving world. New equations presented here define the statistical measures of aggregate historical populations affected by linear changes in population means and standard deviations. These can be used to extract the statistical character of present-day populations, needed to define modern variability and risk, from tables of historical data that are dominated by measurements made when conditions were different. As an example, many factors such as climate change and in-channel structures are causing flood levels to rise, so realistic estimation of future flood levels must take such secular changes into account. The new equations provide estimates of water levels for “100-year” floods in the USA Midwest that are 0.5 to 2 m higher than official calculations that routinely assume population stationarity. These equations also show that flood levels will continue to rise by several centimeters per year. This rate is nearly ten times faster than the rise of sea level, and thus represents one of the fastest and most damaging rates of change that is documented by robust data.","Criss, Robert E.",10.1007/s12583-015-0641-9,"February 01",1867-111X,1,"Journal of Earth Science",2-8,"Statistics of evolving populations and their relevance to flood risk","journal article",27,2016,26562,64e82a6d-9331-443b-9329-74e5e25536bf,"Journal Article",/article/10.1007/s12583-015-0641-9
/reference/660ac034-1441-4d28-98e2-61c8c252348a,https://data.globalchange.gov/reference/660ac034-1441-4d28-98e2-61c8c252348a,660ac034-1441-4d28-98e2-61c8c252348a,,"Kalafatis, Scott E.; Grace, Ashlee; Gibbons, Elizabeth",10.1016/j.crm.2015.04.003,2015/01/01/,2212-0963,,"Climate Risk Management",30-40,"Making climate science accessible in Toledo: The linked boundary chain approach",,9,2015,21129,660ac034-1441-4d28-98e2-61c8c252348a,"Journal Article",/article/10.1016/j.crm.2015.04.003
/reference/66eca1b9-a1e5-43e8-a0a3-1407feae442c,https://data.globalchange.gov/reference/66eca1b9-a1e5-43e8-a0a3-1407feae442c,66eca1b9-a1e5-43e8-a0a3-1407feae442c,,"HRWC,",,,,,,,"Assessing Urban Vulnerability [web site]",,,2018,26693,66eca1b9-a1e5-43e8-a0a3-1407feae442c,"Web Page",/webpage/ab200baf-5ef1-4bf1-ae17-d37f233ee4a0