uri,href,identifier,attrs.Abstract,attrs.Author,attrs.DOI,attrs.Issue,attrs.Journal,attrs.Pages,attrs.Title,attrs.Volume,attrs.Year,attrs._record_number,attrs._uuid,attrs.reftype,child_publication
/reference/cae103f0-9122-4dd7-b609-8e6ec0c1ceff,https://data.globalchange.gov/reference/cae103f0-9122-4dd7-b609-8e6ec0c1ceff,cae103f0-9122-4dd7-b609-8e6ec0c1ceff,"There is an increasing demand for climate science that decision-makers can readily use to address issues created by climate variability and climate change. To be usable, the science must be relevant to their context and the complex management challenges they face and credible and legitimate in their eyes. The literature on usable science provides guiding principles for its development, which indicate that climate scientists who want to participate in the process need skills in addition to their traditional disciplinary training to facilitate communicating, interacting, and developing and sustaining relationships with stakeholders outside their disciplines. However, the literature does not address questions about what specific skills are needed and how to provide climate scientists with these skills. To address these questions, this article presents insights from interviews with highly experienced and respected ""first generation” climate science integrators from across the United States. The term “climate science integrator” is used to refer to climate scientists who specialize in helping decision-makers to integrate the best available climate science into their decision-making processes. The cadre of scientists who participated in the research has largely developed their methods for working successfully with stakeholders without formal training but often with the guidance of a mentor. Their collective wisdom illuminates the kinds of skills needed to be a successful science integrator and provides mentoring for aspiring science integrators. It also suggests the types of training that would cultivate these skills and indicates ways to change academic training and institutions to better encourage the next generation and to support this kind of work.","Brugger, Julie; Alison Meadow; Alexandra Horangic",10.1175/bams-d-14-00289.1,3,"Bulletin of the American Meteorological Society",355-365,"Lessons from first-generation climate science integrators",97,2016,26557,cae103f0-9122-4dd7-b609-8e6ec0c1ceff,"Journal Article",/article/10.1175/bams-d-14-00289.1
/reference/cc425aea-53c5-4bce-a66d-a62212048633,https://data.globalchange.gov/reference/cc425aea-53c5-4bce-a66d-a62212048633,cc425aea-53c5-4bce-a66d-a62212048633,,"Prokopy, Linda Stalker; Carlton, J. Stuart; Haigh, Tonya; Lemos, Maria Carmen; Mase, Amber Saylor; Widhalm, Melissa",10.1016/j.crm.2016.10.004,,"Climate Risk Management",1-7,"Useful to usable: Developing usable climate science for agriculture",15,2017,26626,cc425aea-53c5-4bce-a66d-a62212048633,"Journal Article",/article/10.1016/j.crm.2016.10.004
/reference/cf5cd564-9f71-4025-93e5-9407832bd93e,https://data.globalchange.gov/reference/cf5cd564-9f71-4025-93e5-9407832bd93e,cf5cd564-9f71-4025-93e5-9407832bd93e,"Prairie strips are a new conservation technology designed to alleviate biodiversity loss and environmental damage associated with row-crop agriculture. Results from a multiyear, catchment-scale experiment comparing corn and soybean fields with and without prairie vegetation indicated prairie strips raised pollinator and bird abundance, decreased water runoff, and increased soil and nutrient retention. These benefits accrued at levels disproportionately greater than the land area occupied by prairie strips. Social surveys revealed demand among both farm and nonfarm populations for the outcomes prairie strips produced. We estimated prairie strips could be used to improve biodiversity and ecosystem services across 3.9 million ha of cropland in Iowa and a large portion of the 69 million ha under similar management in the United States.Loss of biodiversity and degradation of ecosystem services from agricultural lands remain important challenges in the United States despite decades of spending on natural resource management. To date, conservation investment has emphasized engineering practices or vegetative strategies centered on monocultural plantings of nonnative plants, largely excluding native species from cropland. In a catchment-scale experiment, we quantified the multiple effects of integrating strips of native prairie species amid corn and soybean crops, with prairie strips arranged to arrest run-off on slopes. Replacing 10% of cropland with prairie strips increased biodiversity and ecosystem services with minimal impacts on crop production. Compared with catchments containing only crops, integrating prairie strips into cropland led to greater catchment-level insect taxa richness (2.6-fold), pollinator abundance (3.5-fold), native bird species richness (2.1-fold), and abundance of bird species of greatest conservation need (2.1-fold). Use of prairie strips also reduced total water runoff from catchments by 37%, resulting in retention of 20 times more soil and 4.3 times more phosphorus. Corn and soybean yields for catchments with prairie strips decreased only by the amount of the area taken out of crop production. Social survey results indicated demand among both farming and nonfarming populations for the environmental outcomes produced by prairie strips. If federal and state policies were aligned to promote prairie strips, the practice would be applicable to 3.9 million ha of cropland in Iowa alone.","Schulte, Lisa A.; Niemi, Jarad; Helmers, Matthew J.; Liebman, Matt; Arbuckle, J. Gordon; James, David E.; Kolka, Randall K.; O’Neal, Matthew E.; Tomer, Mark D.; Tyndall, John C.; Asbjornsen, Heidi; Drobney, Pauline; Neal, Jeri; Van Ryswyk, Gary; Witte, Chris",10.1073/pnas.1620229114,42,"Proceedings of the National Academy of Sciences of the United States of America",11247-11252,"Prairie strips improve biodiversity and the delivery of multiple ecosystem services from corn–soybean croplands",114,2017,26607,cf5cd564-9f71-4025-93e5-9407832bd93e,"Journal Article",/article/10.1073/pnas.1620229114
/reference/d19382cb-6fd4-47f1-b3e2-a1f93a64bbfb,https://data.globalchange.gov/reference/d19382cb-6fd4-47f1-b3e2-a1f93a64bbfb,d19382cb-6fd4-47f1-b3e2-a1f93a64bbfb,,"Ewert, DavidN; Hall, KimberlyR; Smith, RobertJ; Rodewald, PaulG",10.1201/b18011-4,,,17-46,"Landbird stopover in the Great Lakes region: Integrating habitat use and climate change in conservation",,2015,21242,d19382cb-6fd4-47f1-b3e2-a1f93a64bbfb,"Book Section",/book/phenological-synchrony-bird-migration-changing-climate-seasonal-resources-north-america
/reference/d2af0d06-91aa-4e53-99e1-4dad2ac9195a,https://data.globalchange.gov/reference/d2af0d06-91aa-4e53-99e1-4dad2ac9195a,d2af0d06-91aa-4e53-99e1-4dad2ac9195a,,"Mallakpour, Iman; Villarini, Gabriele",10.1038/nclimate2516,3,"Nature Climate Change",250-254,"The changing nature of flooding across the central United States",5,2015,19562,d2af0d06-91aa-4e53-99e1-4dad2ac9195a,"Journal Article",/article/10.1038/nclimate2516
/reference/d31183df-dd19-4463-b517-e6748e6d709b,https://data.globalchange.gov/reference/d31183df-dd19-4463-b517-e6748e6d709b,d31183df-dd19-4463-b517-e6748e6d709b,,"Abel, David; Holloway, Tracey; Harkey, Monica; Rrushaj, Arber; Brinkman, Greg; Duran, Phillip; Janssen, Mark; Denholm, Paul",10.1016/j.atmosenv.2017.11.049,,"Atmospheric Environment",65-74,"Potential air quality benefits from increased solar photovoltaic electricity generation in the Eastern United States",175,2018,26551,d31183df-dd19-4463-b517-e6748e6d709b,"Journal Article",/article/10.1016/j.atmosenv.2017.11.049
/reference/d52d9be3-cae5-4190-af7e-b5a188d5869f,https://data.globalchange.gov/reference/d52d9be3-cae5-4190-af7e-b5a188d5869f,d52d9be3-cae5-4190-af7e-b5a188d5869f,,"Brink, Ebba; Aalders, Theodor; Ádám, Dóra; Feller, Robert; Henselek, Yuki; Hoffmann, Alexander; Ibe, Karin; Matthey-Doret, Aude; Meyer, Moritz; Negrut, N. Lucian; Rau, Anna-Lena; Riewerts, Bente; von Schuckmann, Lukas; Törnros, Sara; von Wehrden, Henrik; Abson, David J.; Wamsler, Christine",10.1016/j.gloenvcha.2015.11.003,,"Global Environmental Change",111-123,"Cascades of green: A review of ecosystem-based adaptation in urban areas",36,2016,26555,d52d9be3-cae5-4190-af7e-b5a188d5869f,"Journal Article",/article/10.1016/j.gloenvcha.2015.11.003
/reference/d6d1d2b6-1072-441f-9a44-727bd2834d47,https://data.globalchange.gov/reference/d6d1d2b6-1072-441f-9a44-727bd2834d47,d6d1d2b6-1072-441f-9a44-727bd2834d47,,"Anderson, Chris; Claman, David; Mantilla, Ricardo",,,,45,"Iowa’s Bridge and Highway Climate Change and Extreme Weather Vulnerability Assessment Pilot",,2015,26611,d6d1d2b6-1072-441f-9a44-727bd2834d47,Report,/report/iowas-bridge-highway-climate-change-extreme-weather-vulnerability-assessment-pilot
/reference/d7cd72b7-d121-4531-ba5a-35e7541ff578,https://data.globalchange.gov/reference/d7cd72b7-d121-4531-ba5a-35e7541ff578,d7cd72b7-d121-4531-ba5a-35e7541ff578,,"McEwan, Ryan W.; Dyer, James M.; Pederson, Neil",10.1111/j.1600-0587.2010.06390.x,2,Ecography,244-256,"Multiple interacting ecosystem drivers: Toward an encompassing hypothesis of oak forest dynamics across eastern North America",34,2011,21192,d7cd72b7-d121-4531-ba5a-35e7541ff578,"Journal Article",/article/10.1111/j.1600-0587.2010.06390.x
/reference/d9754ccb-d173-4624-8e6a-1efb9a37b556,https://data.globalchange.gov/reference/d9754ccb-d173-4624-8e6a-1efb9a37b556,d9754ccb-d173-4624-8e6a-1efb9a37b556,,"Posey, John",,,,,"St. Louis in the Anthropocene:  Responding to Global Environmental Change",,2016,21312,d9754ccb-d173-4624-8e6a-1efb9a37b556,"Book Section",/book/319c3027-5b6f-4282-87b1-196fdba9f201
/reference/dac369a3-921e-426f-b4a2-5798dfb9c515,https://data.globalchange.gov/reference/dac369a3-921e-426f-b4a2-5798dfb9c515,dac369a3-921e-426f-b4a2-5798dfb9c515,,"Palecki, M.A.
Changnon, S.A.
Kunkel, K.E.",10.1175/1520-0477(2001)082<1353:TNAIOT>2.3.CO;2,,"Bulletin of the American Meteorological Society",1353-1368,"The nature and impacts of the July 1999 heat wave in the midwestern United States: Learning from the lessons of 1995",82,2001,2405,dac369a3-921e-426f-b4a2-5798dfb9c515,"Journal Article",/article/10.1175/1520-0477(2001)082%3C1353:TNAIOT%3E2.3.CO;2
/reference/db8b5f26-296a-4cd4-8c49-de8ca8c8b39d,https://data.globalchange.gov/reference/db8b5f26-296a-4cd4-8c49-de8ca8c8b39d,db8b5f26-296a-4cd4-8c49-de8ca8c8b39d,,"Cline, Timothy J.; Kitchell, James F.; Bennington, Val; McKinley, Galen A.; Moody, Eric K.; Weidel, Brian C.",10.1890/ES14-00059.1,6,Ecosphere,1-13,"Climate impacts on landlocked sea lamprey: Implications for host-parasite interactions and invasive species management",5,2014,21226,db8b5f26-296a-4cd4-8c49-de8ca8c8b39d,"Journal Article",/article/10.1890/ES14-00059.1
/reference/dc6e5f3e-4fda-4248-bb19-f225bd486023,https://data.globalchange.gov/reference/dc6e5f3e-4fda-4248-bb19-f225bd486023,dc6e5f3e-4fda-4248-bb19-f225bd486023,,"Hewitt, Bailey; Lopez, Lianna; Gaibisels, Katrina; Murdoch, Alyssa; Higgins, Scott; Magnuson, John; Paterson, Andrew; Rusak, James; Yao, Huaxia; Sharma, Sapna",10.3390/w10010070,1,Water,[16],"Historical trends, drivers, and future projections of ice phenology in small north temperate lakes in the Laurentian Great Lakes region",10,2018,26573,dc6e5f3e-4fda-4248-bb19-f225bd486023,"Journal Article",/article/10.3390/w10010070
/reference/dd5b893d-4462-4bb3-9205-67b532919566,https://data.globalchange.gov/reference/dd5b893d-4462-4bb3-9205-67b532919566,dd5b893d-4462-4bb3-9205-67b532919566,,,10.7930/J0Z31WJ2,,,,"Climate Change Impacts in the United States: The Third National Climate Assessment",,2014,4692,dd5b893d-4462-4bb3-9205-67b532919566,"Edited Book",/report/nca3
/reference/debdf209-4050-4706-965c-09cff7ec353b,https://data.globalchange.gov/reference/debdf209-4050-4706-965c-09cff7ec353b,debdf209-4050-4706-965c-09cff7ec353b,,"Voggesser, Garrit
Lynn, Kathy
Daigle, John
Lake, Frank K.
Ranco, Darren",10.1007/s10584-013-0733-4,3,"Climatic Change",615-626,"Cultural impacts to tribes from climate change influences on forests",120,2013,3852,debdf209-4050-4706-965c-09cff7ec353b,"Journal Article",/article/10.1007/s10584-013-0733-4
/reference/ded027fd-145a-4641-ad12-8d2281b176ca,https://data.globalchange.gov/reference/ded027fd-145a-4641-ad12-8d2281b176ca,ded027fd-145a-4641-ad12-8d2281b176ca,,"Trebitz, Anett S.; Brazner, John C.; Danz, Nicholas P.; Pearson, Mark S.; Peterson, Gregory S.; Tanner, Danny K.; Taylor, Debra L.; West, Corlis W.; Hollenhorst, Thomas P.",10.1139/F09-089,8,"Canadian Journal of Fisheries and Aquatic Sciences",1328-1342,"Geographic, anthropogenic, and habitat influences on Great Lakes coastal wetland fish assemblages",66,2009,21198,ded027fd-145a-4641-ad12-8d2281b176ca,"Journal Article",/article/10.1139/F09-089
/reference/e09f51d0-1c68-4ad4-b09a-1c2cb6929367,https://data.globalchange.gov/reference/e09f51d0-1c68-4ad4-b09a-1c2cb6929367,e09f51d0-1c68-4ad4-b09a-1c2cb6929367,,"Babadoost, Mohammad",,,,7,"The fruit rots of pumpkin",,2012,21252,e09f51d0-1c68-4ad4-b09a-1c2cb6929367,Report,/report/fruit-rots-pumpkin
/reference/e228834a-2d75-4183-a972-ecb51b7f4455,https://data.globalchange.gov/reference/e228834a-2d75-4183-a972-ecb51b7f4455,e228834a-2d75-4183-a972-ecb51b7f4455,,"McConnell, Eric",,,,8,"Ohio's forest Economy",,2012,21274,e228834a-2d75-4183-a972-ecb51b7f4455,Report,/report/ohios-forest-economy
/reference/e2515586-169f-4e99-8499-9887f7c5c977,https://data.globalchange.gov/reference/e2515586-169f-4e99-8499-9887f7c5c977,e2515586-169f-4e99-8499-9887f7c5c977,,"van Vuuren, Detlef P.; Riahi, Keywan; Moss, Richard; Edmonds, Jae; Thomson, Allison; Nakicenovic, Nebojsa; Kram, Tom; Berkhout, Frans; Swart, Rob; Janetos, Anthony; Rose, Steven K.; Arnell, Nigel",10.1016/j.gloenvcha.2011.08.002,1,"Global Environmental Change",21-35,"A proposal for a new scenario framework to support research and assessment in different climate research communities",22,2012,21140,e2515586-169f-4e99-8499-9887f7c5c977,"Journal Article",/article/10.1016/j.gloenvcha.2011.08.002
/reference/e2bfdf4e-c37c-4b33-9370-fc6db9166d4f,https://data.globalchange.gov/reference/e2bfdf4e-c37c-4b33-9370-fc6db9166d4f,e2bfdf4e-c37c-4b33-9370-fc6db9166d4f,"Forest disturbances are sensitive to climate. However, our understanding of disturbance dynamics in response to climatic changes remains incomplete, particularly regarding large-scale patterns, interaction effects and dampening feedbacks. Here we provide a global synthesis of climate change effects on important abiotic (fire, drought, wind, snow and ice) and biotic (insects and pathogens) disturbance agents. Warmer and drier conditions particularly facilitate fire, drought and insect disturbances, while warmer and wetter conditions increase disturbances from wind and pathogens. Widespread interactions between agents are likely to amplify disturbances, while indirect climate effects such as vegetation changes can dampen long-term disturbance sensitivities to climate. Future changes in disturbance are likely to be most pronounced in coniferous forests and the boreal biome. We conclude that both ecosystems and society should be prepared for an increasingly disturbed future of forests.","Seidl, Rupert; Thom, Dominik; Kautz, Markus; Martin-Benito, Dario; Peltoniemi, Mikko; Vacchiano, Giorgio; Wild, Jan; Ascoli, Davide; Petr, Michal; Honkaniemi, Juha; Lexer, Manfred J.; Trotsiuk, Volodymyr; Mairota, Paola; Svoboda, Miroslav; Fabrika, Marek; Nagel, Thomas A.; Reyer, Christopher P. O.",10.1038/nclimate3303,6,"Nature Climate Change",395-402,"Forest disturbances under climate change",7,2017,21161,e2bfdf4e-c37c-4b33-9370-fc6db9166d4f,"Journal Article",/article/10.1038/nclimate3303
/reference/e3139f21-797c-4d60-8099-6efe715f64bc,https://data.globalchange.gov/reference/e3139f21-797c-4d60-8099-6efe715f64bc,e3139f21-797c-4d60-8099-6efe715f64bc,,"Wisconsin Climate and Health Program,",,,,2,"Understanding the link between climate and health",,2015,26622,e3139f21-797c-4d60-8099-6efe715f64bc,Report,/report/understanding-link-between-climate-health
/reference/e3a1fd13-e8f9-4f15-a31c-ad6c2613e685,https://data.globalchange.gov/reference/e3a1fd13-e8f9-4f15-a31c-ad6c2613e685,e3a1fd13-e8f9-4f15-a31c-ad6c2613e685,"Species distribution models (SDM) establish statistical relationships between the current distribution of species and key attributes whereas process-based models simulate ecosystem and tree species dynamics based on representations of physical and biological processes. TreeAtlas, which uses DISTRIB SDM, and Linkages and LANDIS PRO, process-based ecosystem and landscape models, respectively, were used concurrently on four regional climate change assessments in the eastern Unites States.","Iverson, Louis R.; Thompson, Frank R.; Matthews, Stephen; Peters, Matthew; Prasad, Anantha; Dijak, William D.; Fraser, Jacob; Wang, Wen J.; Hanberry, Brice; He, Hong; Janowiak, Maria; Butler, Patricia; Brandt, Leslie; Swanston, Christopher",10.1007/s10980-016-0404-8,7,"Landscape Ecology",1327-1346,"Multi-model comparison on the effects of climate change on tree species in the eastern U.S.: Results from an enhanced niche model and process-based ecosystem and landscape models",32,2017,21120,e3a1fd13-e8f9-4f15-a31c-ad6c2613e685,"Journal Article",/article/10.1007/s10980-016-0404-8
/reference/e518fff1-caa5-4ed1-8fdc-b512da7cbe3b,https://data.globalchange.gov/reference/e518fff1-caa5-4ed1-8fdc-b512da7cbe3b,e518fff1-caa5-4ed1-8fdc-b512da7cbe3b,"The disease burden due to heat-stress illness (HSI), which can result in significant morbidity and mortality, is expected to increase as the climate continues to warm. In the United States (U.S.) much of what is known about HSI epidemiology is from analyses of urban heat waves. There is limited research addressing whether HSI hospitalization risk varies between urban and rural areas, nor is much known about additional diagnoses of patients hospitalized for HSI.","Jagai, Jyotsna S.; Grossman, Elena; Navon, Livia; Sambanis, Apostolis; Dorevitch, Samuel",10.1186/s12940-017-0245-1,1,"Environmental Health",38,"Hospitalizations for heat-stress illness varies between rural and urban areas: An analysis of Illinois data, 1987–2014",16,2017,21209,e518fff1-caa5-4ed1-8fdc-b512da7cbe3b,"Journal Article",/article/10.1186/s12940-017-0245-1
/reference/e611137a-7d8d-4fda-be01-d438c7c25ec2,https://data.globalchange.gov/reference/e611137a-7d8d-4fda-be01-d438c7c25ec2,e611137a-7d8d-4fda-be01-d438c7c25ec2,,"Delta Institute,",,,,70,"Green Infrastructure Designs:  Scalable Solutions to Local Challenges",,2015,21300,e611137a-7d8d-4fda-be01-d438c7c25ec2,Report,/report/green-infrastructure-designs-scalable-solutions-local-challenges
/reference/e6bbc070-a723-4341-be6e-09bbd3248a20,https://data.globalchange.gov/reference/e6bbc070-a723-4341-be6e-09bbd3248a20,e6bbc070-a723-4341-be6e-09bbd3248a20,"Simulations from 18 coupled atmosphere–ocean GCMs are analyzed to predict changes in the climatological Great Plains low-level jet (GPLLJ) and Midwest U.S. hydrology resulting from greenhouse gas increases during the twenty-first century. To build confidence in the prediction, models are selected for analysis based on their twentieth-century simulations, and their simulations of the future are diagnosed to ensure that the response is reasonable. Confidence in the model projections is also bolstered by agreement among models, in a so-called multimodel ensemble, and by analogy with present-day interannual variability. The GCMs agree that the GPLLJ will be more intense in April, May, and June in the future. The selected models even agree on the reason for this intensification, namely, a westward extension and strengthening of the North Atlantic subtropical high (the Bermuda high) that occurs when greenhouse gas–induced warming over the continental United States exceeds that of the subtropical Atlantic in the spring. Accompanying the changes in the GPLLJ are springtime precipitation increases of 20%–40% in the upper Mississippi Valley, which are closely associated with intensified meridional moisture convergence by the jet, with decreases to the south, which results in reduced moist static stability in the region. The simulated differences in the Midwest circulation and hydrology in the spring for the twenty-first century are similar to the observed moisture balance and circulation anomalies for May and, especially, June of 1993, a year of devastating floods throughout the Mississippi Valley.","Cook, Kerry H.; Edward K. Vizy; Zachary S. Launer; Christina M. Patricola",10.1175/2008jcli2355.1,23,"Journal of Climate",6321-6340,"Springtime intensification of the Great Plains low-level jet and midwest precipitation in GCM simulations of the twenty-first century",21,2008,21200,e6bbc070-a723-4341-be6e-09bbd3248a20,"Journal Article",/article/10.1175/2008jcli2355.1
/reference/e7da2d87-03c7-41ab-a021-edccf9014a6a,https://data.globalchange.gov/reference/e7da2d87-03c7-41ab-a021-edccf9014a6a,e7da2d87-03c7-41ab-a021-edccf9014a6a,,"Henderson, James E.; Munn, Ian A.",,,,22,"Forestry in Illinois-The Impact of the Forest Products Industry on the Illinois Economy: An Input-Output Analysis",,2012,21269,e7da2d87-03c7-41ab-a021-edccf9014a6a,Report,/report/forestry-illinois-the-impact-forest-products-industry-on-illinois-economy-an-input-output-analysis
/reference/e8089a19-413e-4bc5-8c4a-7610399e268c,https://data.globalchange.gov/reference/e8089a19-413e-4bc5-8c4a-7610399e268c,e8089a19-413e-4bc5-8c4a-7610399e268c,,"Easterling, D.R.; J.R. Arnold; T. Knutson; K.E. Kunkel; A.N. LeGrande; L.R. Leung; R.S. Vose; D.E. Waliser; M.F. Wehner",10.7930/J0H993CC,,,207-230,"Precipitation Change in the United States",,2017,21565,e8089a19-413e-4bc5-8c4a-7610399e268c,"Book Section",/report/climate-science-special-report/chapter/precipitation-change
/reference/e90ec398-c7a4-4983-bb31-d32dcff3f099,https://data.globalchange.gov/reference/e90ec398-c7a4-4983-bb31-d32dcff3f099,e90ec398-c7a4-4983-bb31-d32dcff3f099,,"Trumpickas, Justin
Shuter, Brian J.
Minns, Charles K.",10.1016/j.jglr.2009.04.005,3,"Journal of Great Lakes Research",454-463,"Forecasting impacts of climate change on Great Lakes surface water temperatures",35,2009,3098,e90ec398-c7a4-4983-bb31-d32dcff3f099,"Journal Article",/article/10.1016/j.jglr.2009.04.005
/reference/e91dabab-fdac-4f64-a64b-0b954f463f40,https://data.globalchange.gov/reference/e91dabab-fdac-4f64-a64b-0b954f463f40,e91dabab-fdac-4f64-a64b-0b954f463f40,,"Munkvold, G. P.; Yang, X. B.",10.1094/PD-79-0095,1,"Plant Disease",95-101,"Crop damage and epidemics associated with 1993 floods in Iowa",79,1995,21179,e91dabab-fdac-4f64-a64b-0b954f463f40,"Journal Article",/article/10.1094/PD-79-0095
/reference/e945cd6d-9213-49b2-8633-4dd1e81dcce6,https://data.globalchange.gov/reference/e945cd6d-9213-49b2-8633-4dd1e81dcce6,e945cd6d-9213-49b2-8633-4dd1e81dcce6,,"D'Amato, Anthony W.; Bradford, John B.; Fraver, Shawn; Palik, Brian J.",10.1890/13-0677.1,8,"Ecological Applications",1735-1742,"Effects of thinning on drought vulnerability and climate response in north temperate forest ecosystems",23,2013,21221,e945cd6d-9213-49b2-8633-4dd1e81dcce6,"Journal Article",/article/10.1890/13-0677.1
/reference/e9ccb2ed-ba08-43aa-8895-a21908f6d691,https://data.globalchange.gov/reference/e9ccb2ed-ba08-43aa-8895-a21908f6d691,e9ccb2ed-ba08-43aa-8895-a21908f6d691,,"Kenward, Alyson; Nicole Zenes; James Bronzan; Jennifer Brady; Kasturi Shah",,,,12,"Overflow: Climate Change, Heavy Rain, and Sewage",,2016,21305,e9ccb2ed-ba08-43aa-8895-a21908f6d691,Report,/report/overflow-climate-change-heavy-rain-sewage
/reference/ea85167b-187f-49fe-9b77-13506a529aa2,https://data.globalchange.gov/reference/ea85167b-187f-49fe-9b77-13506a529aa2,ea85167b-187f-49fe-9b77-13506a529aa2,,"Bottero, Alessandra; D'Amato, Anthony W.; Palik, Brian J.; Bradford, John B.; Fraver, Shawn; Battaglia, Mike A.; Asherin, Lance A.",10.1111/1365-2664.12847,6,"Journal of Applied Ecology",1605-1614,"Density-dependent vulnerability of forest ecosystems to drought",54,2017,22010,ea85167b-187f-49fe-9b77-13506a529aa2,"Journal Article",/article/10.1111/1365-2664.12847
/reference/ec2a899f-9470-47d9-8f2f-4d02663e68d5,https://data.globalchange.gov/reference/ec2a899f-9470-47d9-8f2f-4d02663e68d5,ec2a899f-9470-47d9-8f2f-4d02663e68d5,,"Lenihan, James M.
Bachelet, Dominique
Neilson, Ronald P.
Drapek, Raymond",10.1016/j.gloplacha.2008.01.006,"1–2","Global and Planetary Change",16-25,"Simulated response of conterminous United States ecosystems to climate change at different levels of fire suppression, CO2 emission rate, and growth response to CO2",64,2008,3823,ec2a899f-9470-47d9-8f2f-4d02663e68d5,"Journal Article",/article/10.1016/j.gloplacha.2008.01.006
/reference/ecc6f6d0-d7af-4bfc-b6cd-f60d2eb3f200,https://data.globalchange.gov/reference/ecc6f6d0-d7af-4bfc-b6cd-f60d2eb3f200,ecc6f6d0-d7af-4bfc-b6cd-f60d2eb3f200,,"Handler, Stephen; Matthew J. Duveneck; Louis Iverson; Emily Peters; Robert M. Scheller; Kirk R. Wythers; Leslie Brandt; Patricia Butler; Maria Janowiak; P. Danielle Shannon; Chris Swanston; Kelly Barrett; Randy Kolka; Casey McQuiston; Brian Palik; Peter B. Reich; Clarence Turner; Mark White; Cheryl Adams; Anthony D’Amato; Suzanne Hagell; Patricia Johnson; Rosemary Johnson; Mike Larson; Stephen Matthews; Rebecca Montgomery; Steve Olson; Matthew Peters; Anantha Prasad; Jack Rajala; Jad Daley; Mae Davenport; Marla R. Emery; David Fehringer; Christopher L. Hoving; Gary Johnson; Lucinda Johnson; David Neitzel; Adena Rissman; Chadwick Rittenhouse; Robert Ziel",,,,228,"Minnesota Forest Ecosystem Vulnerability Assessment and Synthesis: A Report from the Northwoods Climate Change Response Framework Project",,2014,21267,ecc6f6d0-d7af-4bfc-b6cd-f60d2eb3f200,Report,/report/minnesota-forest-ecosystem-vulnerability-assessment-synthesis-report-northwoods-climate-change-response-framework-project
/reference/ee0b8d5b-e45d-4466-b677-ab31c217a6dc,https://data.globalchange.gov/reference/ee0b8d5b-e45d-4466-b677-ab31c217a6dc,ee0b8d5b-e45d-4466-b677-ab31c217a6dc,"Despite the rapid evolution and growing complexity in models of science-society interaction, the rate and breadth of use of scientific knowledge in environmental decision making, especially related to climate variability and change, remain below expectations. This suggests a persistent gap between production and use that, to date, efforts to rethink and restructure science production have not been able to surmount. We review different models of science-policy interfaces to understand how they have influenced the organization of knowledge production and application. We then explore how new approaches to the creation of knowledge have emerged, involving both growing integration across disciplines and greater interaction with users. Finally, we review climate information use in the United States and United Kingdom to explore how the structure of knowledge production and the characteristics of users and their decision environments expose the challenges of broadening usable climate science.","Kirchhoff, Christine J.; Maria Carmen Lemos; Suraje Dessai",10.1146/annurev-environ-022112-112828,1,"Annual Review of Environment and Resources",393-414,"Actionable knowledge for environmental decision making: Broadening the usability of climate science",38,2013,26587,ee0b8d5b-e45d-4466-b677-ab31c217a6dc,"Journal Article",/article/10.1146/annurev-environ-022112-112828
/reference/ee7f8311-bd00-4353-87a9-61ffb7813bf0,https://data.globalchange.gov/reference/ee7f8311-bd00-4353-87a9-61ffb7813bf0,ee7f8311-bd00-4353-87a9-61ffb7813bf0,"Downscaled climate data are available at fine spatial scales making them desirable to local climate change practitioners. However, without a description of their uncertainty, practitioners cannot know if they provide quality information. We pose that part of the foundation for the description of uncertainty is an assessment of the ability of the underlying climate model to represent the meteorological or weather-scale processes. Here, we demonstrate an assessment of precipitation processes for the Great Lakes region using the Bias Corrected and Spatially Downscaled (BCSD) Coupled Model Intercomparison Project phase 3 (CMIP3) projections. A major weakness of the underlying models is their inability to simulate the effects of the Great Lakes, which is an important issue for most global climate models. There is also uncertainty among the models in the timing of transition between dominant precipitation processes going from the warm to cool season and vice versa. In addition, warm-season convective precipitation processes very greatly among the models. From the assessment, we discuss how process-based uncertainties in the models are inherited by the downscaled projections and how bias correction increases uncertainty in cases where precipitation processes are not well represented. Implications of these findings are presented for three regional examples: lake-effect snow, the spring seasonal transition, and summertime lake-effect precipitation.","Briley, Laura J.; Ashley, Walker S.; Rood, Richard B.; Krmenec, Andrew",10.1007/s00704-015-1652-2,3,"Theoretical and Applied Climatology",643-654,"The role of meteorological processes in the description of uncertainty for climate change decision-making",127,2017,21113,ee7f8311-bd00-4353-87a9-61ffb7813bf0,"Journal Article",/article/10.1007/s00704-015-1652-2
/reference/ef0e1901-7533-4af4-b3b8-840a78ca4a49,https://data.globalchange.gov/reference/ef0e1901-7533-4af4-b3b8-840a78ca4a49,ef0e1901-7533-4af4-b3b8-840a78ca4a49,,"St-Pierre, N. R.; Cobanov, B.; Schnitkey, G.",10.3168/jds.S0022-0302(03)74040-5,,"Journal of Dairy Science",E52-E77,"Economic losses from heat stress by US livestock industries",86,2003,21228,ef0e1901-7533-4af4-b3b8-840a78ca4a49,"Journal Article",/article/10.3168/jds.S0022-0302(03)74040-5
/reference/ef115408-09f5-4c76-a817-a428b078dc1b,https://data.globalchange.gov/reference/ef115408-09f5-4c76-a817-a428b078dc1b,ef115408-09f5-4c76-a817-a428b078dc1b,,"Workboat Staff,",,,,,"Aggregation of articles documenting Mississippi River flood-related closures",,various,21319,ef115408-09f5-4c76-a817-a428b078dc1b,"Web Page",/webpage/91d2a19b-8778-4321-9ee7-ac1aff72095a
/reference/f0224e2b-c084-4021-8ad3-79a823324e8e,https://data.globalchange.gov/reference/f0224e2b-c084-4021-8ad3-79a823324e8e,f0224e2b-c084-4021-8ad3-79a823324e8e,,"Lyons, John; Parks, Timothy P.; Minahan, Kristi L.; Ruesch, Aaron S.",10.1139/cjfas-2017-0043,4,"Canadian Journal of Fisheries and Aquatic Sciences",600-608,"Evaluation of oxythermal metrics and benchmarks for the protection of cisco (Coregonus artedi) habitat quality and quantity in Wisconsin lakes",75,2017,26593,f0224e2b-c084-4021-8ad3-79a823324e8e,"Journal Article",/article/10.1139/cjfas-2017-0043
/reference/f1b67e97-7a38-47cc-8313-80e2a25c3d6b,https://data.globalchange.gov/reference/f1b67e97-7a38-47cc-8313-80e2a25c3d6b,f1b67e97-7a38-47cc-8313-80e2a25c3d6b,,"Tavakol-Davani, Hassan; Steven J. Burian; Jay Devkota; Defne Apul",10.1061/JSWBAY.0000805,2,"Journal of Sustainable Water in the Built Environment",04015009,"Performance and cost-based comparison of green and gray infrastructure to control combined sewer overflows",2,2016,26612,f1b67e97-7a38-47cc-8313-80e2a25c3d6b,"Journal Article",/article/10.1061/JSWBAY.0000805
/reference/f1e633d5-070a-4a7d-935b-a2281a0c9cb6,https://data.globalchange.gov/reference/f1e633d5-070a-4a7d-935b-a2281a0c9cb6,f1e633d5-070a-4a7d-935b-a2281a0c9cb6,,USGCRP,10.7930/J0R49NQX,,,,"The Impacts of Climate Change on Human Health in the United States: A Scientific Assessment",,2016,19368,f1e633d5-070a-4a7d-935b-a2281a0c9cb6,Book,/report/usgcrp-climate-human-health-assessment-2016
/reference/f29243d3-9c94-4e59-b8b8-9bc1e24b00a2,https://data.globalchange.gov/reference/f29243d3-9c94-4e59-b8b8-9bc1e24b00a2,f29243d3-9c94-4e59-b8b8-9bc1e24b00a2,"EuroAmerican land-use and its legacies have transformed forest structure and composition across the United States (US). More accurate reconstructions of historical states are critical to understanding the processes governing past, current, and future forest dynamics. Here we present new gridded (8x8km) reconstructions of pre-settlement (1800s) forest composition and structure from the upper Midwestern US (Minnesota, Wisconsin, and most of Michigan), using 19th Century Public Land Survey System (PLSS), with estimates of relative composition, above-ground biomass, stem density, and basal area for 28 tree types. This mapping is more robust than past efforts, using spatially varying correction factors to accommodate sampling design, azimuthal censoring, and biases in tree selection. Changes in Forest Structure We compare pre-settlement to modern forests using US Forest Service Forest Inventory and Analysis (FIA) data to show the prevalence of lost forests (pre-settlement forests with no current analog), and novel forests (modern forests with no past analogs). Differences between pre-settlement and modern forests are spatially structured owing to differences in land-use impacts and accompanying ecological responses. Modern forests are more homogeneous, and ecotonal gradients are more diffuse today than in the past. Novel forest assemblages represent 28% of all FIA cells, and 28% of pre-settlement forests no longer exist in a modern context. Lost forests include tamarack forests in northeastern Minnesota, hemlock and cedar dominated forests in north-central Wisconsin and along the Upper Peninsula of Michigan, and elm, oak, basswood and ironwood forests along the forest-prairie boundary in south central Minnesota and eastern Wisconsin. Novel FIA forest assemblages are distributed evenly across the region, but novelty shows a strong relationship to spatial distance from remnant forests in the upper Midwest, with novelty predicted at between 20 to 60km from remnants, depending on historical forest type. The spatial relationships between remnant and novel forests, shifts in ecotone structure and the loss of historic forest types point to significant challenges for land managers if landscape restoration is a priority. The spatial signals of novelty and ecological change also point to potential challenges in using modern spatial distributions of species and communities and their relationship to underlying geophysical and climatic attributes in understanding potential responses to changing climate. The signal of human settlement on modern forests is broad, spatially varying and acts to homogenize modern forests relative to their historic counterparts, with significant implications for future management.","Goring, Simon J.; Mladenoff, David J.; Cogbill, Charles V.; Record, Sydne; Paciorek, Christopher J.; Jackson, Stephen T.; Dietze, Michael C.; Dawson, Andria; Matthes, Jaclyn Hatala; McLachlan, Jason S.; Williams, John W.",10.1371/journal.pone.0151935,12,"PLOS ONE",e0151935,"Novel and lost forests in the upper midwestern United States, from new estimates of settlement-era composition, stem density, and biomass",11,2016,21214,f29243d3-9c94-4e59-b8b8-9bc1e24b00a2,"Journal Article",/article/10.1371/journal.pone.0151935
/reference/f5689393-d906-4b81-ab27-bb225b127510,https://data.globalchange.gov/reference/f5689393-d906-4b81-ab27-bb225b127510,f5689393-d906-4b81-ab27-bb225b127510,,"Boisvenue, Céline; Running, Steven W.",10.1111/j.1365-2486.2006.01134.x,5,"Global Change Biology",862-882,"Impacts of climate change on natural forest productivity – evidence since the middle of the 20th century",12,2006,21189,f5689393-d906-4b81-ab27-bb225b127510,"Journal Article",/article/10.1111/j.1365-2486.2006.01134.x
/reference/f5b5a424-29ee-4cd3-a179-68668613933d,https://data.globalchange.gov/reference/f5b5a424-29ee-4cd3-a179-68668613933d,f5b5a424-29ee-4cd3-a179-68668613933d,,"Vins, Holly; Bell, Jesse; Saha, Shubhayu; Hess, Jeremy",10.3390/ijerph121013251,10,"International Journal of Environmental Research and Public Health",13251,"The mental health outcomes of drought: A systematic review and causal process diagram",12,2015,23879,f5b5a424-29ee-4cd3-a179-68668613933d,"Journal Article",/article/10.3390/ijerph121013251
/reference/f5c3df5e-c125-4179-b646-e073ad3c5bc9,https://data.globalchange.gov/reference/f5c3df5e-c125-4179-b646-e073ad3c5bc9,f5c3df5e-c125-4179-b646-e073ad3c5bc9,,"Chhin, S.",,4,Forests,209-229,"Influence of climate on the growth of hybrid poplar in Michigan",1,2010,21247,f5c3df5e-c125-4179-b646-e073ad3c5bc9,"Journal Article",/article/influence-climate-on-growth-hybrid-poplar-michigan
/reference/f669c195-06eb-49ff-a3b6-3120c05676fc,https://data.globalchange.gov/reference/f669c195-06eb-49ff-a3b6-3120c05676fc,f669c195-06eb-49ff-a3b6-3120c05676fc,,"Kousky, Carolyn; Sheila Olmstead; Margaret Walls; Adam Stern; Molly Macauley",,,,72,"The Role of Land Use in Adaptation to Increased Precipitation and Flooding:  A Case Study in Wisconsin's Lower Fox River Basin",,2011,21279,f669c195-06eb-49ff-a3b6-3120c05676fc,Report,/report/role-land-use-adaptation-increased-precipitation-flooding-case-study-wisconsins-lower-fox-river-basin
/reference/f6919de4-f572-400a-bd88-f3daf6016cc0,https://data.globalchange.gov/reference/f6919de4-f572-400a-bd88-f3daf6016cc0,f6919de4-f572-400a-bd88-f3daf6016cc0,,"Kao, Yu-Chun; Madenjian, Charles P.; Bunnell, David B.; Lofgren, Brent M.; Perroud, Marjorie",10.1016/j.jglr.2015.03.012,2,"Journal of Great Lakes Research",423-435,"Potential effects of climate change on the growth of fishes from different thermal guilds in Lakes Michigan and Huron",41,2015,21144,f6919de4-f572-400a-bd88-f3daf6016cc0,"Journal Article",/article/10.1016/j.jglr.2015.03.012
/reference/f750b32a-1e19-48a4-b9fa-d66628099a4a,https://data.globalchange.gov/reference/f750b32a-1e19-48a4-b9fa-d66628099a4a,f750b32a-1e19-48a4-b9fa-d66628099a4a,,"Ballweg, Julie",,,,1,"Forest economy Wisconsin",,2016,21262,f750b32a-1e19-48a4-b9fa-d66628099a4a,Report,/report/forest-economy-wisconsin
/reference/f89cf6b7-1c12-4cb8-b1c3-3f218a948dc5,https://data.globalchange.gov/reference/f89cf6b7-1c12-4cb8-b1c3-3f218a948dc5,f89cf6b7-1c12-4cb8-b1c3-3f218a948dc5,,"City of Minneapolis,",,,,,"City of Minneapolis Tree Cell Installation - Marq2 Project",,2009,21308,f89cf6b7-1c12-4cb8-b1c3-3f218a948dc5,"Web Page",/webpage/72ba44cc-bbca-4ac7-89b0-13f918918dd6
/reference/fa40ff28-6d14-47a8-b7d3-604e18f04b84,https://data.globalchange.gov/reference/fa40ff28-6d14-47a8-b7d3-604e18f04b84,fa40ff28-6d14-47a8-b7d3-604e18f04b84,,"Hellmann, Jessica J.; Grundel, Ralph; Hoving, Chris; Schuurman, Gregor W.",10.1016/j.cois.2016.08.005,,"Current Opinion in Insect Science",92-97,"A call to insect scientists: Challenges and opportunities of managing insect communities under climate change",17,2016,21127,fa40ff28-6d14-47a8-b7d3-604e18f04b84,"Journal Article",/article/10.1016/j.cois.2016.08.005