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/522c1b55-7d2b-4f94-a885-adeeaaec71b1,https://data.globalchange.gov/reference/522c1b55-7d2b-4f94-a885-adeeaaec71b1,522c1b55-7d2b-4f94-a885-adeeaaec71b1,"While the Midwestern USA ranks among the world’s most important corn-soybean production regions, the area also produces a variety of high-value specialty crops. These crops are an important component of the region’s rural economy with an estimated value of $1.8 billion in 2012. More profitable per-acre than many row crops, specialty crops also have higher production-related risks. They are generally more sensitive to climatic stressors and require more comprehensive management compared to traditional row crops. Temperature and precipitation fluctuations across the Midwest directly impact specialty crop production quantity and quality and indirectly influence the timing of crucial farm operations and the economic impacts of pests, weeds, and diseases. Increasingly variable weather and climate change pose a serious threat to specialty crop production in the Midwest. In this article, we assess how climate variability and observed climatic trends are impacting Midwestern specialty crop production using USDA Risk Management Agency data. In addition, we review current trends in grower perceptions of risks associated with a changing climate and assess sustainable adaptation strategies. Our results indicate that weather-induced losses vary by state with excessive moisture resulting in the highest total number of claims across all Midwestern states followed by freeze and drought events. Overall, specialty crop growers are aware of the increased production risk under a changing climate and have identified the need for crop-specific weather, production, and financial risk management tools and increased crop insurance coverage.","Kistner, Erica; Kellner, Olivia; Andresen, Jeffrey; Todey, Dennis; Morton, Lois Wright",10.1007/s10584-017-2066-1,"January 01",1573-1480,1,"Climatic Change",145-158,"Vulnerability of specialty crops to short-term climatic variability and adaptation strategies in the Midwestern USA","journal article",146,2018,26588,522c1b55-7d2b-4f94-a885-adeeaaec71b1,"Journal Article",/article/10.1007/s10584-017-2066-1
/reference/5295673e-703b-42f8-9792-4ccf8e3cf747,https://data.globalchange.gov/reference/5295673e-703b-42f8-9792-4ccf8e3cf747,5295673e-703b-42f8-9792-4ccf8e3cf747,"Projections of regional climate, net basin supply (NBS), and water levels are developed for the mid- and late twenty-first century across the Laurentian Great Lakes basin. Two state-of-the-art global climate models (GCMs) are dynamically downscaled using a regional climate model (RCM) interactively coupled to a one-dimensional lake model, and then a hydrologic routing model is forced with time series of perturbed NBS. The dynamical downscaling and coupling with a lake model to represent the Great Lakes create added value beyond the parent GCM in terms of simulated seasonal cycles of temperature, precipitation, and surface fluxes. However, limitations related to this rudimentary treatment of the Great Lakes result in warm summer biases in lake temperatures, excessive ice cover, and an abnormally early peak in lake evaporation. While the downscaling of both GCMs led to consistent projections of increases in annual air temperature, precipitation, and all NBS components (overlake precipitation, basinwide runoff, and lake evaporation), the resulting projected water level trends are opposite in sign. Clearly, it is not sufficient to correctly simulate the signs of the projected change in each NBS component; one must also account for their relative magnitudes. The potential risk of more frequent episodes of lake levels below the low water datum, a critical shipping threshold, is explored.","Notaro, Michael; Val Bennington; Brent Lofgren",10.1175/jcli-d-14-00847.1,,,24,"Journal of Climate",9721-9745,"Dynamical downscaling–based projections of Great Lakes water levels",,28,2015,21203,5295673e-703b-42f8-9792-4ccf8e3cf747,"Journal Article",/article/10.1175/jcli-d-14-00847.1
/reference/54a66159-1675-43bb-b5d3-a9b7f283e4de,https://data.globalchange.gov/reference/54a66159-1675-43bb-b5d3-a9b7f283e4de,54a66159-1675-43bb-b5d3-a9b7f283e4de,,"Fann, Neal; Nolte, Christopher G.; Dolwick, Patrick; Spero, Tanya L.; Curry Brown, Amanda; Phillips, Sharon; Anenberg, Susan",10.1080/10962247.2014.996270,,2162-2906,5,"Journal of the Air & Waste Management Association",570-580,"The geographic distribution and economic value of climate change-related ozone health impacts in the United States in 2030",,65,2015,16106,54a66159-1675-43bb-b5d3-a9b7f283e4de,"Journal Article",/article/10.1080/10962247.2014.996270
/reference/5665cbdb-a35a-471e-9685-0f3dbd96fb0b,https://data.globalchange.gov/reference/5665cbdb-a35a-471e-9685-0f3dbd96fb0b,5665cbdb-a35a-471e-9685-0f3dbd96fb0b,,"Nowak, David J.; Hoehn III, Robert E.; Bodine, Allison R.; Crane, Daniel E.; Dwyer, John F.; Bonnewell, Veta; Watson, Gary",10.2737/NRS-RB-84,,,,,106,"Urban trees and forests of the Chicago region",,,2013,26602,5665cbdb-a35a-471e-9685-0f3dbd96fb0b,Report,/report/urban-trees-forests-chicago-region
/reference/56f5f174-37fd-4559-b5e7-dece3629e0df,https://data.globalchange.gov/reference/56f5f174-37fd-4559-b5e7-dece3629e0df,56f5f174-37fd-4559-b5e7-dece3629e0df,,"Deckard, Donald L.; James A. Skurla",,,,,,18,"Economic Contributions of Minnesota's Forest Products Industry - 2011 Edition",,,2011,21265,56f5f174-37fd-4559-b5e7-dece3629e0df,Report,/report/economic-contributions-minnesotas-forest-products-industry-2011-edition
/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