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/3a575724-2a5d-4330-97e0-7c5552c1e80d,https://data.globalchange.gov/reference/3a575724-2a5d-4330-97e0-7c5552c1e80d,3a575724-2a5d-4330-97e0-7c5552c1e80d,"Most nations recently agreed to hold global average temperature rise to well below 2 °C. We examine how much climate mitigation nature can contribute to this goal with a comprehensive analysis of “natural climate solutions” (NCS): 20 conservation, restoration, and/or improved land management actions that increase carbon storage and/or avoid greenhouse gas emissions across global forests, wetlands, grasslands, and agricultural lands. We show that NCS can provide over one-third of the cost-effective climate mitigation needed between now and 2030 to stabilize warming to below 2 °C. Alongside aggressive fossil fuel emissions reductions, NCS offer a powerful set of options for nations to deliver on the Paris Climate Agreement while improving soil productivity, cleaning our air and water, and maintaining biodiversity.Better stewardship of land is needed to achieve the Paris Climate Agreement goal of holding warming to below 2 °C; however, confusion persists about the specific set of land stewardship options available and their mitigation potential. To address this, we identify and quantify “natural climate solutions” (NCS): 20 conservation, restoration, and improved land management actions that increase carbon storage and/or avoid greenhouse gas emissions across global forests, wetlands, grasslands, and agricultural lands. We find that the maximum potential of NCS—when constrained by food security, fiber security, and biodiversity conservation—is 23.8 petagrams of CO2 equivalent (PgCO2e) y−1 (95% CI 20.3–37.4). This is ≥30% higher than prior estimates, which did not include the full range of options and safeguards considered here. About half of this maximum (11.3 PgCO2e y−1) represents cost-effective climate mitigation, assuming the social cost of CO2 pollution is ≥100 USD MgCO2e−1 by 2030. Natural climate solutions can provide 37% of cost-effective CO2 mitigation needed through 2030 for a >66% chance of holding warming to below 2 °C. One-third of this cost-effective NCS mitigation can be delivered at or below 10 USD MgCO2−1. Most NCS actions—if effectively implemented—also offer water filtration, flood buffering, soil health, biodiversity habitat, and enhanced climate resilience. Work remains to better constrain uncertainty of NCS mitigation estimates. Nevertheless, existing knowledge reported here provides a robust basis for immediate global action to improve ecosystem stewardship as a major solution to climate change.","Griscom, Bronson W.; Adams, Justin; Ellis, Peter W.; Houghton, Richard A.; Lomax, Guy; Miteva, Daniela A.; Schlesinger, William H.; Shoch, David; Siikamäki, Juha V.; Smith, Pete; Woodbury, Peter; Zganjar, Chris; Blackman, Allen; Campari, João; Conant, Richard T.; Delgado, Christopher; Elias, Patricia; Gopalakrishna, Trisha; Hamsik, Marisa R.; Herrero, Mario; Kiesecker, Joseph; Landis, Emily; Laestadius, Lars; Leavitt, Sara M.; Minnemeyer, Susan; Polasky, Stephen; Potapov, Peter; Putz, Francis E.; Sanderman, Jonathan; Silvius, Marcel; Wollenberg, Eva; Fargione, Joseph",10.1073/pnas.1710465114,44,"Proceedings of the National Academy of Sciences of the United States of America",11645-11650,"Natural climate solutions",114,2017,25724,3a575724-2a5d-4330-97e0-7c5552c1e80d,"Journal Article",/article/10.1073/pnas.1710465114
/reference/3a801b36-a7a1-4224-9920-0f60068e398e,https://data.globalchange.gov/reference/3a801b36-a7a1-4224-9920-0f60068e398e,3a801b36-a7a1-4224-9920-0f60068e398e,,"Higgins, S. N.; Zanden, M. J. Vander",10.1890/09-1249.1,2,"Ecological Monographs",179-196,"What a difference a species makes: A meta–analysis of dreissenid mussel impacts on freshwater ecosystems",80,2010,21218,3a801b36-a7a1-4224-9920-0f60068e398e,"Journal Article",/article/10.1890/09-1249.1
/reference/3b19d9fb-e7c3-4203-80aa-5f862d60aec6,https://data.globalchange.gov/reference/3b19d9fb-e7c3-4203-80aa-5f862d60aec6,3b19d9fb-e7c3-4203-80aa-5f862d60aec6,,"Howk, Forrest",10.1016/j.jglr.2008.11.002,1,"Journal of Great Lakes Research",159-162,"Changes in Lake Superior ice cover at Bayfield, Wisconsin",35,2009,26575,3b19d9fb-e7c3-4203-80aa-5f862d60aec6,"Journal Article",/article/10.1016/j.jglr.2008.11.002
/reference/3b6270f6-f42f-43b2-ac39-cc7faf622fdd,https://data.globalchange.gov/reference/3b6270f6-f42f-43b2-ac39-cc7faf622fdd,3b6270f6-f42f-43b2-ac39-cc7faf622fdd,,"Austin, Jay; Colman, Steve",10.4319/lo.2008.53.6.2724,6,"Limnology and Oceanography",2724-2730,"A century of temperature variability in Lake Superior",53,2008,21232,3b6270f6-f42f-43b2-ac39-cc7faf622fdd,"Journal Article",/article/10.4319/lo.2008.53.6.2724
/reference/3baf471f-751f-4d68-9227-4197fdbb6e5d,https://data.globalchange.gov/reference/3baf471f-751f-4d68-9227-4197fdbb6e5d,3baf471f-751f-4d68-9227-4197fdbb6e5d,,"Walthall, C.; Backlund, P.; Hatfield, J.; Lengnick, L.; Marshall, E.; Walsh, M.; Adkins, S.; Aillery, M.; Ainsworth, E.A.; Amman, C.; Anderson, C.J.; Bartomeus, I.; Baumgard, L.H.; Booker, F.; Bradley, B.; Blumenthal, D.M.; Bunce, J.; Burkey, K.; Dabney, S.M.; Delgado, J.A.; Dukes, J.; Funk, A.; Garrett, K.; Glenn, M.; Grantz, D.A.; Goodrich, D.; Hu, S.; Izaurralde, R.C.; Jones, R.A.C.; Kim, S-H.; Leaky, A.D.B.; Lewers, K.; Mader, T.L.; McClung, A.; Morgan, J.; Muth, D.J.; Nearing, M.; Oosterhuis, D.M.; Ort, D.; Parmesan, C.; Pettigrew, W.T.; Polley, W.; Rader, R.; Rice, C.; Rivington, M.; Rosskopf, E.; Salas, W.A.; Sollenberger, L.E.; Srygley, R.; Stockle, C.; Takle, E.S.; Timlin, D.; White, J.W.; Winfree, R.; Wright-Morton, L.; Ziska, L.H.",,,,186,"Climate Change and Agriculture in the United States: Effects and Adaptation",,2012,3329,3baf471f-751f-4d68-9227-4197fdbb6e5d,Report,/report/usda-techbul-1935
/reference/3c3cc09b-c2d7-4c52-bf8f-c064efa78e93,https://data.globalchange.gov/reference/3c3cc09b-c2d7-4c52-bf8f-c064efa78e93,3c3cc09b-c2d7-4c52-bf8f-c064efa78e93,,"Vogel, Jason; Karen M. Carney; Joel B. Smith; Charles Herrick; Missy Stults; Megan O’Grady; Alexis St. Juliana; Heather Hosterman; Lorine Giangola",,,,,"Climate Adaptation — The State of Practice in U.S. Communities",,2016,22874,3c3cc09b-c2d7-4c52-bf8f-c064efa78e93,Report,/report/climate-adaptation-state-practice-us-communities
/reference/3c96d70c-9523-49e8-b7aa-0a86be8992a0,https://data.globalchange.gov/reference/3c96d70c-9523-49e8-b7aa-0a86be8992a0,3c96d70c-9523-49e8-b7aa-0a86be8992a0,"As they have in response to past climatic changes, many species will shift their distributions in response to modern climate change. However, due to the unprecedented rapidity of projected climatic changes, some species may not be able to move their ranges fast enough to track shifts in suitable climates and associated habitats. Here, we investigate the ability of 493 mammals to keep pace with projected climatic changes in the Western Hemisphere. We modeled the velocities at which species will likely need to move to keep pace with projected changes in suitable climates. We compared these velocities with the velocities at which species are able to move as a function of dispersal distances and dispersal frequencies. Across the Western Hemisphere, on average, 9.2% of mammals at a given location will likely be unable to keep pace with climate change. In some places, up to 39% of mammals may be unable to track shifts in suitable climates. Eighty-seven percent of mammalian species are expected to experience reductions in range size and 20% of these range reductions will likely be due to limited dispersal abilities as opposed to reductions in the area of suitable climate. Because climate change will likely outpace the response capacity of many mammals, mammalian vulnerability to climate change may be more extensive than previously anticipated.","Schloss, C. A.; Nunez, T. A.; Lawler, J. J.",10.1073/pnas.1116791109,22,"Proceedings of the National Academy of Sciences of the United States of America",8606-11,"Dispersal will limit ability of mammals to track climate change in the Western Hemisphere",109,2012,5137,3c96d70c-9523-49e8-b7aa-0a86be8992a0,"Journal Article",/article/10.1073/pnas.1116791109
/reference/3cd12f10-190b-49a2-bf7b-640487e70e9d,https://data.globalchange.gov/reference/3cd12f10-190b-49a2-bf7b-640487e70e9d,3cd12f10-190b-49a2-bf7b-640487e70e9d,"Rising temperatures and increasing drought severity linked to global climate change are negatively impacting forest growth and function at the equatorial range edge of species distributions. Rapid dieback and range retractions are predicted to occur in many areas as temperatures continue to rise. Despite widespread negative impacts at the ecosystem level, equatorial range edges are not well studied, and their responses to climate change are poorly understood. Effective monitoring of tree responses to climate in these regions is of critical importance in order to predict and manage threats to populations. Remote sensing of impacts on forests can be combined with ground-based assessment of environmental and ecological changes to identify populations most at risk. Modelling may be useful as a 'first-filter' to identify populations of concern but, together with many remote sensing methods, often lacks adequate resolution for application at the range edge. A multidisciplinary approach, combining remote observation with targeted ground-based monitoring of local susceptible and resistant populations, is therefore required. Once at-risk regions have been identified, management can be adapted to reduce immediate risks in priority populations, and promote long-term adaptation to change. However, management to protect forest ecosystem function may be preferable where the maintenance of historical species assemblages is no longer viable.","Jump, Alistair S.; Cavin, Liam; Hunter, Peter D.",10.1039/B923773A,10,"Journal of Environmental Monitoring",1791-1798,"Monitoring and managing responses to climate change at the retreating range edge of forest trees",12,2010,21165,3cd12f10-190b-49a2-bf7b-640487e70e9d,"Journal Article",/article/10.1039/B923773A
/reference/3d6b2a18-fbfd-4751-8eb9-a35b7502ac9f,https://data.globalchange.gov/reference/3d6b2a18-fbfd-4751-8eb9-a35b7502ac9f,3d6b2a18-fbfd-4751-8eb9-a35b7502ac9f,"West Nile virus (WNV) is a leading cause of mosquito-borne disease in the United States. Annual seasonal outbreaks vary in size and location. Predicting where and when higher than normal WNV transmission will occur can help direct limited public health resources. We developed models for the contiguous United States to identify meteorological anomalies associated with above average incidence of WNV neuroinvasive disease from 2004 to 2012. We used county-level WNV data reported to ArboNET and meteorological data from the North American Land Data Assimilation System. As a result of geographic differences in WNV transmission, we divided the United States into East and West, and 10 climate regions. Above average annual temperature was associated with increased likelihood of higher than normal WNV disease incidence, nationally and in most regions. Lower than average annual total precipitation was associated with higher disease incidence in the eastern United States, but the opposite was true in most western regions. Although multiple factors influence WNV transmission, these findings show that anomalies in temperature and precipitation are associated with above average WNV disease incidence. Readily accessible meteorological data may be used to develop predictive models to forecast geographic areas with elevated WNV disease risk before the coming season.","Hahn, Micah B.; Monaghan, Andrew J.; Hayden, Mary H.; Eisen, Rebecca J.; Delorey, Mark J.; Lindsey, Nicole P.; Nasci, Roger S.; Fischer, Marc",10.4269/ajtmh.14-0737,5,"The American Journal of Tropical Medicine and Hygiene",1013-1022,"Meteorological conditions associated with increased incidence of West Nile virus disease in the United States, 2004–2012",92,2015,21231,3d6b2a18-fbfd-4751-8eb9-a35b7502ac9f,"Journal Article",/article/10.4269/ajtmh.14-0737
/reference/3def47b9-0e32-440b-bef1-f9bc176a7dd0,https://data.globalchange.gov/reference/3def47b9-0e32-440b-bef1-f9bc176a7dd0,3def47b9-0e32-440b-bef1-f9bc176a7dd0,"Although disturbances such as fire and native insects can contribute to natural dynamics of forest health, exceptional droughts, directly and in combination with other disturbance factors, are pushing some temperate forests beyond thresholds of sustainability. Interactions from increasing temperatures, drought, native insects and pathogens, and uncharacteristically severe wildfire are resulting in forest mortality beyond the levels of 20th-century experience. Additional anthropogenic stressors, such as atmospheric pollution and invasive species, further weaken trees in some regions. Although continuing climate change will likely drive many areas of temperate forest toward large-scale transformations, management actions can help ease transitions and minimize losses of socially valued ecosystem services.","Millar, Constance I.; Stephenson, Nathan L.",10.1126/science.aaa9933,6250,Science,823-826,"Temperate forest health in an era of emerging megadisturbance",349,2015,21196,3def47b9-0e32-440b-bef1-f9bc176a7dd0,"Journal Article",/article/10.1126/science.aaa9933
/reference/3e243243-eb72-4795-aeec-62d5d8326d4b,https://data.globalchange.gov/reference/3e243243-eb72-4795-aeec-62d5d8326d4b,3e243243-eb72-4795-aeec-62d5d8326d4b,"Metrics that synthesize the complex effects of climate change are essential tools for mapping future threats to biodiversity and predicting which species are likely to adapt in place to new climatic conditions, disperse and establish in areas with newly suitable climate, or face the prospect of extirpation. The most commonly used of such metrics is the velocity of climate change, which estimates the speed at which species must migrate over the earth’s surface to maintain constant climatic conditions. However, “analog-based” velocities, which represent the actual distance to where analogous climates will be found in the future, may provide contrasting results to the more common form of velocity based on local climate gradients. Additionally, whereas climatic velocity reflects the exposure of organisms to climate change, resultant biotic effects are dependent on the sensitivity of individual species as reflected in part by their climatic niche width. This has motivated development of biotic velocity, a metric which uses data on projected species range shifts to estimate the velocity at which species must move to track their climatic niche. We calculated climatic and biotic velocity for the Western Hemisphere for 1961–2100, and applied the results to example ecological and conservation planning questions, to demonstrate the potential of such analog-based metrics to provide information on broad-scale patterns of exposure and sensitivity. Geographic patterns of biotic velocity for 2954 species of birds, mammals, and amphibians differed from climatic velocity in north temperate and boreal regions. However, both biotic and climatic velocities were greatest at low latitudes, implying that threats to equatorial species arise from both the future magnitude of climatic velocities and the narrow climatic tolerances of species in these regions, which currently experience low seasonal and interannual climatic variability. Biotic and climatic velocity, by approximating lower and upper bounds on migration rates, can inform conservation of species and locally-adapted populations, respectively, and in combination with backward velocity, a function of distance to a source of colonizers adapted to a site’s future climate, can facilitate conservation of diversity at multiple scales in the face of climate change.","Carroll, Carlos; Lawler, Joshua J.; Roberts, David R.; Hamann, Andreas",10.1371/journal.pone.0140486,10,"PLOS ONE",e0140486,"Biotic and climatic velocity identify contrasting areas of vulnerability to climate change",10,2015,21213,3e243243-eb72-4795-aeec-62d5d8326d4b,"Journal Article",/article/10.1371/journal.pone.0140486
/reference/3e6abdbd-2026-4318-9392-1a5766a5f344,https://data.globalchange.gov/reference/3e6abdbd-2026-4318-9392-1a5766a5f344,3e6abdbd-2026-4318-9392-1a5766a5f344,,"USDN,",,,,,"Urban Sustainability Directors Network [web site]",,2018,26625,3e6abdbd-2026-4318-9392-1a5766a5f344,"Web Page",/webpage/deb87e77-7d3e-429d-b28b-b836bb74f5c6
/reference/3f7db557-5407-40cf-9078-d5be0f25ee0a,https://data.globalchange.gov/reference/3f7db557-5407-40cf-9078-d5be0f25ee0a,3f7db557-5407-40cf-9078-d5be0f25ee0a,,"Babinszky, László; Halas, Veronika; Verstegen, Martin W. A.",10.5772/23840,,,"Ch. 10","Impacts of climate change on animal production and quality of animal food products",,2011,21253,3f7db557-5407-40cf-9078-d5be0f25ee0a,"Book Section",/book/a080a9d3-f7f4-4a68-868e-74b842caf055
/reference/3fb9a087-cc62-47fb-8fe4-b6f557ca9a7c,https://data.globalchange.gov/reference/3fb9a087-cc62-47fb-8fe4-b6f557ca9a7c,3fb9a087-cc62-47fb-8fe4-b6f557ca9a7c,,"Missouri Department of Transportation,",,,,,"Traveler Information Report [web site]",,2017,26694,3fb9a087-cc62-47fb-8fe4-b6f557ca9a7c,"Web Page",/webpage/f55e1d02-5bf8-4347-bd92-eef7ceafc197
/reference/4060c7db-3392-402b-a41f-d0609edeef56,https://data.globalchange.gov/reference/4060c7db-3392-402b-a41f-d0609edeef56,4060c7db-3392-402b-a41f-d0609edeef56,,"Scott, Robert W.; Huff, Floyd A.",10.1016/S0380-1330(96)71006-7,4,"Journal of Great Lakes Research",845-863,"Impacts of the Great Lakes on regional climate conditions",22,1996,21151,4060c7db-3392-402b-a41f-d0609edeef56,"Journal Article",/article/10.1016/S0380-1330(96)71006-7
/reference/41f154f3-d0e4-47eb-8fba-a47fe3a70c84,https://data.globalchange.gov/reference/41f154f3-d0e4-47eb-8fba-a47fe3a70c84,41f154f3-d0e4-47eb-8fba-a47fe3a70c84,,"Jump, Alistair S.Mátyás, CsabaPeñuelas, Josep",10.1016/j.tree.2009.06.007,12,"Trends in Ecology & Evolution",694-701,"The altitude-for-latitude disparity in the range retractions of woody species",24,2009,72,41f154f3-d0e4-47eb-8fba-a47fe3a70c84,"Journal Article",/article/10.1016/j.tree.2009.06.007
/reference/42e9f5ac-4b72-40b4-bc2b-8200dfac3177,https://data.globalchange.gov/reference/42e9f5ac-4b72-40b4-bc2b-8200dfac3177,42e9f5ac-4b72-40b4-bc2b-8200dfac3177,,"Hall, Kimberly R.; Herbert, Matthew E.; Sowa, Scott P.; Mysorekar, Sagar; Woznicki, Sean A.; Nejadhashemi, Pouyan A.; Wang, Lizhu",10.1016/j.jglr.2016.11.005,1,"Journal of Great Lakes Research",59-68,"Reducing current and future risks: Using climate change scenarios to test an agricultural conservation framework",43,2017,26570,42e9f5ac-4b72-40b4-bc2b-8200dfac3177,"Journal Article",/article/10.1016/j.jglr.2016.11.005
/reference/42f23c97-2bf8-4ae2-950d-f5906df59fa0,https://data.globalchange.gov/reference/42f23c97-2bf8-4ae2-950d-f5906df59fa0,42f23c97-2bf8-4ae2-950d-f5906df59fa0,,"Rosenzweig, C.Tubiello, F.N.Goldberg, R.Mills, E.Bloomfield, J.",10.1016/S0959-3780(02)00008-0,,"Global Environmental Change",197-202,"Increased crop damage in the US from excess precipitation under climate change",12,2002,2692,42f23c97-2bf8-4ae2-950d-f5906df59fa0,"Journal Article",/article/10.1016/S0959-3780(02)00008-0
/reference/43a6ac94-f12c-4ed4-b942-02c9480acc93,https://data.globalchange.gov/reference/43a6ac94-f12c-4ed4-b942-02c9480acc93,43a6ac94-f12c-4ed4-b942-02c9480acc93,,"Frans, Chris; Istanbulluoglu, Erkan; Mishra, Vimal; Munoz-Arriola, Francisco; Lettenmaier, Dennis P.",10.1002/grl.50262,6,"Geophysical Research Letters",1104-1110,"Are climatic or land cover changes the dominant cause of runoff trends in the Upper Mississippi River Basin?",40,2013,20918,43a6ac94-f12c-4ed4-b942-02c9480acc93,"Journal Article",/article/10.1002/grl.50262
/reference/43e7bfdb-30c7-407d-89ae-e94f7bff36a1,https://data.globalchange.gov/reference/43e7bfdb-30c7-407d-89ae-e94f7bff36a1,43e7bfdb-30c7-407d-89ae-e94f7bff36a1,"Global warming is expected to lead to a more vigorous hydrological cycle, including more total rainfall and more frequent high intensity rainfall events. Rainfall amounts and intensities increased on average in the United States during the 20th century, and according to climate change models they are expected to continue to increase during the 21st century. These rainfall changes, along with expected changes in temperature, solar radiation, and atmospheric C02 concentrations, will have significant impacts on soil erosion rates. The processes involved in the impact of climate change on soil erosion by water are complex, involving changes in rainfall amounts and intensities, number of days of precipitation, ratio of rain to snow, plant biomass production, plant residue decomposition rates, soil microbial activity, evapo-transpiration rates, and shifts in land use necessary to accommodate a new climatic regime. This paper reviews several recent studies conducted by the authors that address the potential effects of climate change on soil erosion rates. The results show cause for concern. Rainfall erosivity levels may be on the rise across much of the United States. Where rainfall amounts increase, erosion and runoff will increase at an even greater rate: the ratio of erosion increase to annual rainfall increase is on the order of 1.7. Even in cases where annual rainfall would decrease, system feedbacks related to decreased biomass production could lead to greater susceptibility of the soil to erode. Results also show how farmers' response to climate change can potentially exacerbate, or ameliorate, the changes in erosion rates expected.","Nearing, MA; Pruski, F.F.; O'Neal, M.R.",,1,"Journal of Soil and Water Conservation",43-50,"Expected climate change impacts on soil erosion rates: A review",59,2004,21246,43e7bfdb-30c7-407d-89ae-e94f7bff36a1,"Journal Article",/article/expected-climate-change-impacts-on-soil-erosion-rates-review
/reference/44b1444b-29ab-4edd-b285-f8820660fc32,https://data.globalchange.gov/reference/44b1444b-29ab-4edd-b285-f8820660fc32,44b1444b-29ab-4edd-b285-f8820660fc32,"This article explores the generation, transmission, and nature of ecological knowledge used by tribal and nontribal natural resource management agency personnel who collectively manage a 666,542-acre forest in northern Minnesota. Using key informant interviews and an adapted grounded theory analysis, we documented the forms of knowledge participants expressed in their descriptions of the forest and forest management, including traditional and western scientific ecological knowledge. We found that study participants across agencies use multiple forms of knowledge, that this knowledge is generated and transferred in distinct ways, and that participants acknowledge several challenges and opportunities to integration of traditional and western scientific knowledge in forest management. Overall, ecological knowledge expressed by study participants revealed multiple ways of knowing the forest. Knowledge varied most distinctly in the influence of cultural identity and spiritual or metaphysical connections to the forest on knowledge generation, transmission, and content. Formalizing existing informal knowledge integration efforts with attention to power structures, institutional culture, and knowledge application is recommended.<br></br> <b>Management and Policy Implications:</b> Forest values, beliefs, and knowledge can vary dramatically and sometimes clash among natural resource professionals involved in comanaged forests, particularly those managed by tribal and nontribal agencies. Findings from in-depth interviews with tribal and nontribal resource managers reveal both distinct and shared perspectives on a comanaged forest in northern Minnesota; most notable were the unique roles of cultural identity and spiritual or metaphysical connections in knowledge generation, transmission, and content. Resource managers interested in the integration of traditional and western scientific ecological knowledge may find success in formalizing ongoing informal activities including mutual learning or training in cross-cultural contexts, relationship building among agency and tribal leaders, cooperation in forest and cultural resource management projects, and collaborative forest planning. Still, attention to existing power structures, institutional cultural differences, and knowledge application practices will be important to these efforts.","Bussey, John; Davenport, Mae A.; Emery, Marla R.; Carroll, Clint",10.5849/jof.14-130,2,"Journal of Forestry",97-107,"""A lot of it comes from the heart"": The nature and integration of ecological knowledge in tribal and nontribal forest management",114,2016,21239,44b1444b-29ab-4edd-b285-f8820660fc32,"Journal Article",/article/10.5849/jof.14-130
/reference/45571656-3f15-4349-8ed5-b84e65ecb75d,https://data.globalchange.gov/reference/45571656-3f15-4349-8ed5-b84e65ecb75d,45571656-3f15-4349-8ed5-b84e65ecb75d,,"Settle, Jeffrey; Gonso, Chris; Seidl, Mike",,,,25,"Indiana’s Hardwood Industry: Its Economic Impact ",,2016,21275,45571656-3f15-4349-8ed5-b84e65ecb75d,Report,/report/indianas-hardwood-industry-its-economic-impact
/reference/46a9dec0-9540-44c9-9eea-5a6d666887cf,https://data.globalchange.gov/reference/46a9dec0-9540-44c9-9eea-5a6d666887cf,46a9dec0-9540-44c9-9eea-5a6d666887cf,,"Tavakol-Davani, Hessam; Goharian, Erfan; Hansen, Carly H.; Tavakol-Davani, Hassan; Apul, Defne; Burian, Steven J.",10.1016/j.scs.2016.07.003,,"Sustainable Cities and Society",430-438,"How does climate change affect combined sewer overflow in a system benefiting from rainwater harvesting systems?",27,2016,26613,46a9dec0-9540-44c9-9eea-5a6d666887cf,"Journal Article",/article/10.1016/j.scs.2016.07.003
/reference/46bc1606-306e-4205-b2b7-46f87c4e14ee,https://data.globalchange.gov/reference/46bc1606-306e-4205-b2b7-46f87c4e14ee,46bc1606-306e-4205-b2b7-46f87c4e14ee,,"Brenden, Travis O.; Russell W. Brown; Mark P. Ebener; Kevin Reid; Tammy J. Newcomb",,,,339-397,"Great Lakes commercial fisheries: Historical overview and prognoses for the future",,2013,21282,46bc1606-306e-4205-b2b7-46f87c4e14ee,"Book Section",/book/58be613a-c30d-45b8-9a69-1a171157c019
/reference/47f83403-7592-41e6-994d-62b7586eca6c,https://data.globalchange.gov/reference/47f83403-7592-41e6-994d-62b7586eca6c,47f83403-7592-41e6-994d-62b7586eca6c,,"Vose, James M.; Miniat, Chelcy Ford; Luce, Charles H.; Asbjornsen, Heidi; Caldwell, Peter V.; Campbell, John L.; Grant, Gordon E.; Isaak, Daniel J.; Loheide Ii, Steven P.; Sun, Ge",10.1016/j.foreco.2016.03.025,,"Forest Ecology and Management",335-345,"Ecohydrological implications of drought for forests in the United States",380,2016,21138,47f83403-7592-41e6-994d-62b7586eca6c,"Journal Article",/article/10.1016/j.foreco.2016.03.025
