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