uri,href,identifier,attrs.Abstract,attrs.Author,attrs.DOI,attrs.Date,attrs.Issue,attrs.Journal,attrs.Pages,attrs.Title,attrs.Volume,attrs.Year,attrs._record_number,attrs._uuid,attrs.reftype,child_publication
/reference/ed762c10-332f-4763-8a0a-91b46858ff13,https://data.globalchange.gov/reference/ed762c10-332f-4763-8a0a-91b46858ff13,ed762c10-332f-4763-8a0a-91b46858ff13,"Soil erosion by water impacts soil organic carbon stocks and alters CO2 fluxes exchanged with the atmosphere. The role of erosion as a net sink or source of atmospheric CO2 remains highly debated, and little information is available at scales larger than small catchments or regions. This study attempts to quantify the lateral transport of soil carbon and consequent land−atmosphere CO2 fluxes at the scale of China, where severe erosion has occurred for several decades. Based on the distribution of soil erosion rates derived from detailed national surveys and soil carbon inventories, here we show that water erosion in China displaced 180 ± 80 Mt C⋅y−1 of soil organic carbon during the last two decades, and this resulted a net land sink for atmospheric CO2 of 45 ± 25 Mt C⋅y−1, equivalent to 8–37% of the terrestrial carbon sink previously assessed in China. Interestingly, the “hotspots,” largely distributed in mountainous regions in the most intensive sink areas (>40 g C⋅m−2⋅y−1), occupy only 1.5% of the total area suffering water erosion, but contribute 19.3% to the national erosion-induced CO2 sink. The erosion-induced CO2 sink underwent a remarkable reduction of about 16% from the middle 1990s to the early 2010s, due to diminishing erosion after the implementation of large-scale soil conservation programs. These findings demonstrate the necessity of including erosion-induced CO2 in the terrestrial budget, hence reducing the level of uncertainty.","Yue, Yao; Ni, Jinren; Ciais, Philippe; Piao, Shilong; Wang, Tao; Huang, Mengtian; Borthwick, Alistair G. L.; Li, Tianhong; Wang, Yichu; Chappell, Adrian; Van Oost, Kristof",10.1073/pnas.1523358113,"June 14, 2016",24,"Proceedings of the National Academy of Sciences of the United States of America",6617-6622,"Lateral transport of soil carbon and land−atmosphere CO2 flux induced by water erosion in China",113,2016,23593,ed762c10-332f-4763-8a0a-91b46858ff13,"Journal Article",/article/10.1073/pnas.1523358113
/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/ef5c89cd-6488-4966-837e-3b22af71145c,https://data.globalchange.gov/reference/ef5c89cd-6488-4966-837e-3b22af71145c,ef5c89cd-6488-4966-837e-3b22af71145c,"Heat waves and drought are often considered the most damaging climatic stressors for wheat. In this study, we characterize and attribute the effects of these climate extremes on wheat yield anomalies (at global and national scales) from 1980 to 2010. Using a combination of up-to-date heat wave and drought indexes (the latter capturing both excessively dry and wet conditions), we have developed a composite indicator that is able to capture the spatio-temporal characteristics of the underlying physical processes in the different agro-climatic regions of the world. At the global level, our diagnostic explains a significant portion (more than 40%) of the inter-annual production variability. By quantifying the contribution of national yield anomalies to global fluctuations, we have found that just two concurrent yield anomalies affecting the larger producers of the world could be responsible for more than half of the global annual fluctuations. The relative importance of heat stress and drought in determining the yield anomalies depends on the region. Moreover, in contrast to common perception, water excess affects wheat production more than drought in several countries. We have also performed the same analysis at the subnational level for France, which is the largest wheat producer of the European Union, and home to a range of climatic zones. Large subnational variability of inter-annual wheat yield is mostly captured by the heat and water stress indicators, consistently with the country-level result.","Zampieri, M.; A. Ceglar; F. Dentener; A. Toreti",10.1088/1748-9326/aa723b,,6,"Environmental Research Letters",064008,"Wheat yield loss attributable to heat waves, drought and water excess at the global, national and subnational scales",12,2017,23594,ef5c89cd-6488-4966-837e-3b22af71145c,"Journal Article",/article/10.1088/1748-9326/aa723b
/reference/f0314b87-6077-4403-9f68-311c6575065e,https://data.globalchange.gov/reference/f0314b87-6077-4403-9f68-311c6575065e,f0314b87-6077-4403-9f68-311c6575065e,"The recent intensification of agriculture, and the prospects of future intensification, will have major detrimental impacts on the nonagricultural terrestrial and aquatic ecosystems of the world. The doubling of agricultural food production during the past 35 years was associated with a 6.87-fold increase in nitrogen fertilization, a 3.48-fold increase in phosphorus fertilization, a 1.68-fold increase in the amount of irrigated cropland, and a 1.1-fold increase in land in cultivation. Based on a simple linear extension of past trends, the anticipated next doubling of global food production would be associated with approximately 3-fold increases in nitrogen and phosphorus fertilization rates, a doubling of the irrigated land area, and an 18% increase in cropland. These projected changes would have dramatic impacts on the diversity, composition, and functioning of the remaining natural ecosystems of the world, and on their ability to provide society with a variety of essential ecosystem services. The largest impacts would be on freshwater and marine ecosystems, which would be greatly eutrophied by high rates of nitrogen and phosphorus release from agricultural fields. Aquatic nutrient eutrophication can lead to loss of biodiversity, outbreaks of nuisance species, shifts in the structure of food chains, and impairment of fisheries. Because of aerial redistribution of various forms of nitrogen, agricultural intensification also would eutrophy many natural terrestrial ecosystems and contribute to atmospheric accumulation of greenhouse gases. These detrimental environmental impacts of agriculture can be minimized only if there is much more efficient use and recycling of nitrogen and phosphorus in agroecosystems.","Tilman, David",10.1073/pnas.96.11.5995,"May 25, 1999",11,"Proceedings of the National Academy of Sciences of the United States of America",5995-6000,"Global environmental impacts of agricultural expansion: The need for sustainable and efficient practices",96,1999,23585,f0314b87-6077-4403-9f68-311c6575065e,"Journal Article",/article/10.1073/pnas.96.11.5995
/reference/f18627cb-ee60-4ef2-b1d9-9a20af4e98cc,https://data.globalchange.gov/reference/f18627cb-ee60-4ef2-b1d9-9a20af4e98cc,f18627cb-ee60-4ef2-b1d9-9a20af4e98cc,,"Hatfield, Jerry L.; Walthall, Charles L.",10.2134/agronj15.0076,,4,"Agronomy Journal",1215-1226,"Meeting global food needs: Realizing the potential via genetics × environment × management interactions",107,2015,23529,f18627cb-ee60-4ef2-b1d9-9a20af4e98cc,"Journal Article",/article/10.2134/agronj15.0076
/reference/f1f7eed1-45e4-4257-a919-393ddd609c73,https://data.globalchange.gov/reference/f1f7eed1-45e4-4257-a919-393ddd609c73,f1f7eed1-45e4-4257-a919-393ddd609c73,,"Sharpley, Andrew","10.1590/0103-9016-2015-0107  ",,,"Scientia Agricola",1-8,"Managing agricultural phosphorus to minimize water quality impacts",73,2016,23577,f1f7eed1-45e4-4257-a919-393ddd609c73,"Journal Article",/article/10.1590/0103-9016-2015-0107%20%20
/reference/f232d318-5e00-4b72-a71b-4ee91004e421,https://data.globalchange.gov/reference/f232d318-5e00-4b72-a71b-4ee91004e421,f232d318-5e00-4b72-a71b-4ee91004e421,,"Upton, John",,,,,,,,2017,26130,f232d318-5e00-4b72-a71b-4ee91004e421,Blog,/webpage/8c00249d-3e2a-414d-96b1-d42d013cf56d
/reference/f239e3b0-3a5a-4293-b54f-6027083dd6c4,https://data.globalchange.gov/reference/f239e3b0-3a5a-4293-b54f-6027083dd6c4,f239e3b0-3a5a-4293-b54f-6027083dd6c4,,"NOAA Fisheries,",,,,,235,"Fisheries Economics of the United States, 2014",,2016,24883,f239e3b0-3a5a-4293-b54f-6027083dd6c4,Report,/report/fisheries-economics-united-states-2014
/reference/f29e107f-e659-48cf-8f40-919a93bbf708,https://data.globalchange.gov/reference/f29e107f-e659-48cf-8f40-919a93bbf708,f29e107f-e659-48cf-8f40-919a93bbf708,,"Du, Jiabi; Shen, Jian; Park, Kyeong; Wang, Ya Ping; Yu, Xin",10.1016/j.scitotenv.2018.02.265,2018/07/15/,,"Science of The Total Environment",707-717,"Worsened physical condition due to climate change contributes to the increasing hypoxia in Chesapeake Bay",630,2018,25575,f29e107f-e659-48cf-8f40-919a93bbf708,"Journal Article",/article/10.1016/j.scitotenv.2018.02.265
/reference/f2e6034d-169d-46c0-8b78-1eb46e73bfc8,https://data.globalchange.gov/reference/f2e6034d-169d-46c0-8b78-1eb46e73bfc8,f2e6034d-169d-46c0-8b78-1eb46e73bfc8,,"Derner, Justin D.; Stanley, Charles; Ellis, Chad",10.1016/j.rala.2015.10.010,2016/04/01/,2,Rangelands,64-67,"Usable science: Soil health",38,2016,23515,f2e6034d-169d-46c0-8b78-1eb46e73bfc8,"Journal Article",/article/10.1016/j.rala.2015.10.010
/reference/f2ff4075-e1a6-4a21-9b7c-227b55f2e5c1,https://data.globalchange.gov/reference/f2ff4075-e1a6-4a21-9b7c-227b55f2e5c1,f2ff4075-e1a6-4a21-9b7c-227b55f2e5c1,,"USGCRP,",10.7930/SOCCR2.2018,,,,877,"Second State of the Carbon Cycle Report (SOCCR2): A Sustained Assessment Report",,2018,24526,f2ff4075-e1a6-4a21-9b7c-227b55f2e5c1,Report,/report/second-state-carbon-cycle-report-soccr2-sustained-assessment-report
/reference/f3eef9f6-ac68-4d8f-85b3-7547727d5451,https://data.globalchange.gov/reference/f3eef9f6-ac68-4d8f-85b3-7547727d5451,f3eef9f6-ac68-4d8f-85b3-7547727d5451,,"EPA,",,,,,various,"Inventory of U.S. greenhouse gas emissions and sinks: 1990–2016",,2018,25217,f3eef9f6-ac68-4d8f-85b3-7547727d5451,Report,/report/inventory-us-greenhouse-gas-emissions-sinks-19902016
/reference/f4b004a8-e4ce-447b-bbd9-e543576b2086,https://data.globalchange.gov/reference/f4b004a8-e4ce-447b-bbd9-e543576b2086,f4b004a8-e4ce-447b-bbd9-e543576b2086,,"Falco, Salvatore Di; Adinolfi, Felice; Bozzola, Martina; Capitanio, Fabian",10.1111/1477-9552.12053,,2,"Journal of Agricultural Economics",485-504,"Crop insurance as a strategy for adapting to climate change",65,2014,23519,f4b004a8-e4ce-447b-bbd9-e543576b2086,"Journal Article",/article/10.1111/1477-9552.12053
/reference/f5fbe914-a67f-46c9-bbf0-f19c021a1f68,https://data.globalchange.gov/reference/f5fbe914-a67f-46c9-bbf0-f19c021a1f68,f5fbe914-a67f-46c9-bbf0-f19c021a1f68,"Abiotic stress conditions such as drought, heat, or salinity cause extensive losses to agricultural production worldwide. Progress in generating transgenic crops with enhanced tolerance to abiotic stresses has nevertheless been slow. The complex field environment with its heterogenic conditions, abiotic stress combinations, and global climatic changes are but a few of the challenges facing modern agriculture. A combination of approaches will likely be needed to significantly improve the abiotic stress tolerance of crops in the field. These will include mechanistic understanding and subsequent utilization of stress response and stress acclimation networks, with careful attention to field growth conditions, extensive testing in the laboratory, greenhouse, and the field; the use of innovative approaches that take into consideration the genetic background and physiology of different crops; the use of enzymes and proteins from other organisms; and the integration of QTL mapping and other genetic and breeding tools.","Mittler, Ron; Eduardo Blumwald",10.1146/annurev-arplant-042809-112116,,1,"Annual Review of Plant Biology",443-462,"Genetic engineering for modern agriculture: Challenges and perspectives",61,2010,25547,f5fbe914-a67f-46c9-bbf0-f19c021a1f68,"Journal Article",/article/10.1146/annurev-arplant-042809-112116
/reference/f785a926-f97b-4728-9ef8-9a1aab5193d8,https://data.globalchange.gov/reference/f785a926-f97b-4728-9ef8-9a1aab5193d8,f785a926-f97b-4728-9ef8-9a1aab5193d8,,"Balafoutis, Athanasios; Beck, Bert; Fountas, Spyros; Vangeyte, Jurgen; Wal, Tamme; Soto, Iria; Gómez-Barbero, Manuel; Barnes, Andrew; Eory, Vera",10.3390/su9081339,,8,Sustainability,1339,"Precision agriculture technologies positively contributing to GHG emissions mitigation, farm productivity and economics",9,2017,25581,f785a926-f97b-4728-9ef8-9a1aab5193d8,"Journal Article",/article/10.3390/su9081339
/reference/f7f58b0c-0531-44ea-a157-7678239f62a9,https://data.globalchange.gov/reference/f7f58b0c-0531-44ea-a157-7678239f62a9,f7f58b0c-0531-44ea-a157-7678239f62a9,,"Bevan, Michael W.; Uauy, Cristobal; Wulff, Brande B. H.; Zhou, Ji; Krasileva, Ksenia; Clark, Matthew D.",10.1038/nature22011,03/15/online,,Nature,346-354,"Genomic innovation for crop improvement",543,2017,23502,f7f58b0c-0531-44ea-a157-7678239f62a9,"Journal Article",/article/10.1038/nature22011
/reference/fb0fc3bf-806e-416d-8285-18a993c5a653,https://data.globalchange.gov/reference/fb0fc3bf-806e-416d-8285-18a993c5a653,fb0fc3bf-806e-416d-8285-18a993c5a653,,"Keown, Jeffery F.; Paul J. Kononoff ; Richard J. Grant ",,,,,2,"How to Reduce Heat Stress in Dairy Cattle",,2016,23622,fb0fc3bf-806e-416d-8285-18a993c5a653,Report,/report/how-reduce-heat-stress-dairy-cattle
/reference/fb1fc049-937e-4d18-8074-f4c4933a3407,https://data.globalchange.gov/reference/fb1fc049-937e-4d18-8074-f4c4933a3407,fb1fc049-937e-4d18-8074-f4c4933a3407,,"Olson, Kenneth; Matthews, Jeffrey; Morton, Lois Wright; Sloan, John",10.2489/jswc.70.1.5A,"January 1, 2015",1,"Journal of Soil and Water Conservation",5A-11A,"Impact of levee breaches, flooding, and land scouring on soil productivity",70,2015,23565,fb1fc049-937e-4d18-8074-f4c4933a3407,"Journal Article",/article/10.2489/jswc.70.1.5A
/reference/fecb7170-32c4-498a-95c0-b374d9ce845b,https://data.globalchange.gov/reference/fecb7170-32c4-498a-95c0-b374d9ce845b,fecb7170-32c4-498a-95c0-b374d9ce845b,,"Lal, Rattan",10.2489/jswc.70.3.55A,"May 1, 2015",3,"Journal of Soil and Water Conservation",55A-62A,"Sequestering carbon and increasing productivity by conservation agriculture",70,2015,23551,fecb7170-32c4-498a-95c0-b374d9ce845b,"Journal Article",/article/10.2489/jswc.70.3.55A
/reference/ff69075c-1638-4354-88c8-58e95aec31c9,https://data.globalchange.gov/reference/ff69075c-1638-4354-88c8-58e95aec31c9,ff69075c-1638-4354-88c8-58e95aec31c9,,"USDA,",,,,,21,"USDA Climate Change Science Plan",,2010,23643,ff69075c-1638-4354-88c8-58e95aec31c9,Report,/report/usda-climate-change-science-plan