333 results on '"Tubiello, Francesco N."'
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2. The state of food systems worldwide in the countdown to 2030
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Schneider, Kate R., Fanzo, Jessica, Haddad, Lawrence, Herrero, Mario, Moncayo, Jose Rosero, Herforth, Anna, Remans, Roseline, Guarin, Alejandro, Resnick, Danielle, Covic, Namukolo, Béné, Christophe, Cattaneo, Andrea, Aburto, Nancy, Ambikapathi, Ramya, Aytekin, Destan, Barquera, Simon, Battersby, Jane, Beal, Ty, Molina, Paulina Bizzoto, Cafiero, Carlo, Campeau, Christine, Caron, Patrick, Conforti, Piero, Damerau, Kerstin, Di Girolamo, Michael, DeClerck, Fabrice, Dewi, Deviana, Elouafi, Ismahane, Fabi, Carola, Foley, Pat, Frazier, Tyler J., Gephart, Jessica, Golden, Christopher, Fischer, Carlos Gonzalez, Hendriks, Sheryl, Honorati, Maddalena, Huang, Jikun, Kennedy, Gina, Laar, Amos, Lal, Rattan, Lidder, Preetmoninder, Loken, Brent, Marshall, Quinn, Masuda, Yuta J., McLaren, Rebecca, Miachon, Lais, Muñoz, Hernán, Nordhagen, Stella, Qayyum, Naina, Saisana, Michaela, Suhardiman, Diana, Sumaila, U. Rashid, Cullen, Maximo Torero, Tubiello, Francesco N., Vivero-Pol, Jose-Luis, Webb, Patrick, and Wiebe, Keith
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- 2023
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3. Agricultural pesticide land budget and river discharge to oceans
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Maggi, Federico, Tang, Fiona H. M., and Tubiello, Francesco N.
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- 2023
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4. A comprehensive quantification of global nitrous oxide sources and sinks.
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Tian, Hanqin, Xu, Rongting, Canadell, Josep G, Thompson, Rona L, Winiwarter, Wilfried, Suntharalingam, Parvadha, Davidson, Eric A, Ciais, Philippe, Jackson, Robert B, Janssens-Maenhout, Greet, Prather, Michael J, Regnier, Pierre, Pan, Naiqing, Pan, Shufen, Peters, Glen P, Shi, Hao, Tubiello, Francesco N, Zaehle, Sönke, Zhou, Feng, Arneth, Almut, Battaglia, Gianna, Berthet, Sarah, Bopp, Laurent, Bouwman, Alexander F, Buitenhuis, Erik T, Chang, Jinfeng, Chipperfield, Martyn P, Dangal, Shree RS, Dlugokencky, Edward, Elkins, James W, Eyre, Bradley D, Fu, Bojie, Hall, Bradley, Ito, Akihiko, Joos, Fortunat, Krummel, Paul B, Landolfi, Angela, Laruelle, Goulven G, Lauerwald, Ronny, Li, Wei, Lienert, Sebastian, Maavara, Taylor, MacLeod, Michael, Millet, Dylan B, Olin, Stefan, Patra, Prabir K, Prinn, Ronald G, Raymond, Peter A, Ruiz, Daniel J, van der Werf, Guido R, Vuichard, Nicolas, Wang, Junjie, Weiss, Ray F, Wells, Kelley C, Wilson, Chris, Yang, Jia, and Yao, Yuanzhi
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Crops ,Agricultural ,Nitrogen ,Nitrous Oxide ,Atmosphere ,Internationality ,Human Activities ,Agriculture ,General Science & Technology - Abstract
Nitrous oxide (N2O), like carbon dioxide, is a long-lived greenhouse gas that accumulates in the atmosphere. Over the past 150 years, increasing atmospheric N2O concentrations have contributed to stratospheric ozone depletion1 and climate change2, with the current rate of increase estimated at 2 per cent per decade. Existing national inventories do not provide a full picture of N2O emissions, owing to their omission of natural sources and limitations in methodology for attributing anthropogenic sources. Here we present a global N2O inventory that incorporates both natural and anthropogenic sources and accounts for the interaction between nitrogen additions and the biochemical processes that control N2O emissions. We use bottom-up (inventory, statistical extrapolation of flux measurements, process-based land and ocean modelling) and top-down (atmospheric inversion) approaches to provide a comprehensive quantification of global N2O sources and sinks resulting from 21 natural and human sectors between 1980 and 2016. Global N2O emissions were 17.0 (minimum-maximum estimates: 12.2-23.5) teragrams of nitrogen per year (bottom-up) and 16.9 (15.9-17.7) teragrams of nitrogen per year (top-down) between 2007 and 2016. Global human-induced emissions, which are dominated by nitrogen additions to croplands, increased by 30% over the past four decades to 7.3 (4.2-11.4) teragrams of nitrogen per year. This increase was mainly responsible for the growth in the atmospheric burden. Our findings point to growing N2O emissions in emerging economies-particularly Brazil, China and India. Analysis of process-based model estimates reveals an emerging N2O-climate feedback resulting from interactions between nitrogen additions and climate change. The recent growth in N2O emissions exceeds some of the highest projected emission scenarios3,4, underscoring the urgency to mitigate N2O emissions.
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- 2020
5. Measuring the world’s cropland area
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Tubiello, Francesco N., Conchedda, Giulia, Casse, Leon, Pengyu, Hao, Zhongxin, Chen, De Santis, Giorgia, Fritz, Steffen, and Muchoney, Douglas
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- 2023
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6. Dynamic global-scale crop and irrigation monitoring
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See, Linda, Gilliams, Sven, Conchedda, Giulia, Degerickx, Jeroen, Van Tricht, Kristof, Fritz, Steffen, Lesiv, Myroslava, Laso Bayas, Juan Carlos, Rosero, Jose, Tubiello, Francesco N., and Szantoi, Zoltan
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- 2023
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7. Making food transport data matter
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Tubiello, Francesco N., Crippa, Monica, Karl, Kevin, Solazzo, Efisio, Cerilli, Silvia, Flammini, Alessandro, and Leip, Adrian
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- 2022
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8. Global nitrous oxide budget (1980–2020)
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Tian, Hanqin, primary, Pan, Naiqing, additional, Thompson, Rona L., additional, Canadell, Josep G., additional, Suntharalingam, Parvadha, additional, Regnier, Pierre, additional, Davidson, Eric A., additional, Prather, Michael, additional, Ciais, Philippe, additional, Muntean, Marilena, additional, Pan, Shufen, additional, Winiwarter, Wilfried, additional, Zaehle, Sönke, additional, Zhou, Feng, additional, Jackson, Robert B., additional, Bange, Hermann W., additional, Berthet, Sarah, additional, Bian, Zihao, additional, Bianchi, Daniele, additional, Bouwman, Alexander F., additional, Buitenhuis, Erik T., additional, Dutton, Geoffrey, additional, Hu, Minpeng, additional, Ito, Akihiko, additional, Jain, Atul K., additional, Jeltsch-Thömmes, Aurich, additional, Joos, Fortunat, additional, Kou-Giesbrecht, Sian, additional, Krummel, Paul B., additional, Lan, Xin, additional, Landolfi, Angela, additional, Lauerwald, Ronny, additional, Li, Ya, additional, Lu, Chaoqun, additional, Maavara, Taylor, additional, Manizza, Manfredi, additional, Millet, Dylan B., additional, Mühle, Jens, additional, Patra, Prabir K., additional, Peters, Glen P., additional, Qin, Xiaoyu, additional, Raymond, Peter, additional, Resplandy, Laure, additional, Rosentreter, Judith A., additional, Shi, Hao, additional, Sun, Qing, additional, Tonina, Daniele, additional, Tubiello, Francesco N., additional, van der Werf, Guido R., additional, Vuichard, Nicolas, additional, Wang, Junjie, additional, Wells, Kelley C., additional, Western, Luke M., additional, Wilson, Chris, additional, Yang, Jia, additional, Yao, Yuanzhi, additional, You, Yongfa, additional, and Zhu, Qing, additional
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- 2024
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9. Supplementary material to "Global Methane Budget 2000–2020"
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Saunois, Marielle, primary, Martinez, Adrien, additional, Poulter, Benjamin, additional, Zhang, Zhen, additional, Raymond, Peter, additional, Regnier, Pierre, additional, Canadell, Joseph G., additional, Jackson, Robert B., additional, Patra, Prabir K., additional, Bousquet, Philippe, additional, Ciais, Philippe, additional, Dlugokencky, Edward J., additional, Lan, Xin, additional, Allen, George H., additional, Bastviken, David, additional, Beerling, David J., additional, Belikov, Dmitry A., additional, Blake, Donald R., additional, Castaldi, Simona, additional, Crippa, Monica, additional, Deemer, Bridget R., additional, Dennison, Fraser, additional, Etiope, Giuseppe, additional, Gedney, Nicola, additional, Höglund-Isaksson, Lena, additional, Holgerson, Meredith A., additional, Hopcroft, Peter O., additional, Hugelius, Gustaf, additional, Ito, Akihito, additional, Jain, Atul K., additional, Janardanan, Rajesh, additional, Johnson, Matthew S., additional, Kleinen, Thomas, additional, Krummel, Paul, additional, Lauerwald, Ronny, additional, Li, Tingting, additional, Liu, Xiangyu, additional, McDonald, Kyle C., additional, Melton, Joe R., additional, Mühle, Jens, additional, Müller, Jurek, additional, Murguia-Flores, Fabiola, additional, Niwa, Yosuke, additional, Noce, Sergio, additional, Pan, Shufen, additional, Parker, Robert J., additional, Peng, Changhui, additional, Ramonet, Michel, additional, Riley, William J., additional, Rocher-Ros, Gerard, additional, Rosentreter, Judith A., additional, Sasakawa, Motoki, additional, Segers, Arjo, additional, Smith, Steven J., additional, Stanley, Emily H., additional, Thanwerdas, Joel, additional, Tian, Hanquin, additional, Tsuruta, Aki, additional, Tubiello, Francesco N., additional, Weber, Thomas S., additional, van der Werf, Guido, additional, Worthy, Doug E., additional, Xi, Yi, additional, Yoshida, Yukio, additional, Zhang, Wenxin, additional, Zheng, Bo, additional, Zhu, Qing, additional, Zhu, Qiuan, additional, and Zhuang, Qianlai, additional
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- 2024
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10. Global Methane Budget 2000–2020
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Saunois, Marielle, primary, Martinez, Adrien, additional, Poulter, Benjamin, additional, Zhang, Zhen, additional, Raymond, Peter, additional, Regnier, Pierre, additional, Canadell, Joseph G., additional, Jackson, Robert B., additional, Patra, Prabir K., additional, Bousquet, Philippe, additional, Ciais, Philippe, additional, Dlugokencky, Edward J., additional, Lan, Xin, additional, Allen, George H., additional, Bastviken, David, additional, Beerling, David J., additional, Belikov, Dmitry A., additional, Blake, Donald R., additional, Castaldi, Simona, additional, Crippa, Monica, additional, Deemer, Bridget R., additional, Dennison, Fraser, additional, Etiope, Giuseppe, additional, Gedney, Nicola, additional, Höglund-Isaksson, Lena, additional, Holgerson, Meredith A., additional, Hopcroft, Peter O., additional, Hugelius, Gustaf, additional, Ito, Akihito, additional, Jain, Atul K., additional, Janardanan, Rajesh, additional, Johnson, Matthew S., additional, Kleinen, Thomas, additional, Krummel, Paul, additional, Lauerwald, Ronny, additional, Li, Tingting, additional, Liu, Xiangyu, additional, McDonald, Kyle C., additional, Melton, Joe R., additional, Mühle, Jens, additional, Müller, Jurek, additional, Murguia-Flores, Fabiola, additional, Niwa, Yosuke, additional, Noce, Sergio, additional, Pan, Shufen, additional, Parker, Robert J., additional, Peng, Changhui, additional, Ramonet, Michel, additional, Riley, William J., additional, Rocher-Ros, Gerard, additional, Rosentreter, Judith A., additional, Sasakawa, Motoki, additional, Segers, Arjo, additional, Smith, Steven J., additional, Stanley, Emily H., additional, Thanwerdas, Joel, additional, Tian, Hanquin, additional, Tsuruta, Aki, additional, Tubiello, Francesco N., additional, Weber, Thomas S., additional, van der Werf, Guido, additional, Worthy, Doug E., additional, Xi, Yi, additional, Yoshida, Yukio, additional, Zhang, Wenxin, additional, Zheng, Bo, additional, Zhu, Qing, additional, Zhu, Qiuan, additional, and Zhuang, Qianlai, additional
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- 2024
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11. Global nitrous oxide emissions from livestock manure during 1890–2020: An IPCC tier 2 inventory
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Zhang, Lei, primary, Pan, Shufen, additional, Ouyang, Zhiyun, additional, Canadell, Josep G., additional, Chang, Jinfeng, additional, Conchedda, Giulia, additional, Davidson, Eric A., additional, Lu, Fei, additional, Pan, Naiqing, additional, Qin, Xiaoyu, additional, Shi, Hao, additional, Tubiello, Francesco N., additional, Wang, Xiaoke, additional, Zhang, Yuzhong, additional, and Tian, Hanqin, additional
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- 2024
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12. Global mapping of crop-specific emission factors highlights hotspots of nitrous oxide mitigation
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Cui, Xiaoqing, Zhou, Feng, Ciais, Philippe, Davidson, Eric A., Tubiello, Francesco N., Niu, Xiaoyue, Ju, Xiaotang, Canadell, Josep G., Bouwman, Alexander F., Jackson, Robert B., Mueller, Nathaniel D., Zheng, Xunhua, Kanter, David R., Tian, Hanqin, Adalibieke, Wulahati, Bo, Yan, Wang, Qihui, Zhan, Xiaoying, and Zhu, Dongqiang
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- 2021
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13. Contributors
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Ahlström, Anders, primary, Almeida, Mariana, additional, Andrew, Robbie, additional, Archibeque, Shawn, additional, Basso, Luana, additional, Bastos, Ana, additional, Bezerra, Francisco Gilney, additional, Birdsey, Richard, additional, Bowman, Kevin, additional, Bruhwiler, Lori M., additional, Brunner, Dominik, additional, Bun, Rostyslav, additional, Butman, David E., additional, Campbell, Donovan, additional, Canadell, Josep G., additional, Cardoso, Manoel, additional, Chatterjee, Abhishek, additional, Chevallier, Frédéric, additional, Ciais, Philippe, additional, Commane, Róisín, additional, Crippa, Monica, additional, Cunha-Zeri, Gisleine, additional, Domke, Grant M., additional, Euskirchen, Eugénie S., additional, Fisher, Joshua B., additional, Gilfillan, Dennis, additional, Hayes, Daniel J., additional, Holmquist, James R., additional, Houghton, Richard A., additional, Huntzinger, Deborah, additional, Ilyina, Tatiana, additional, Janardanan, Rajesh, additional, Janssens-Maenhout, Greet, additional, Jones, Matthew W., additional, Keppler, Lydia, additional, Kondo, Masayuki, additional, Kroeger, Kevin D., additional, Kurz, Werner, additional, Landschützer, Peter, additional, Lauerwald, Ronny, additional, Luyssaert, Sebastiaan, additional, MacBean, Natasha, additional, Maksyutov, Shamil, additional, Marland, Eric, additional, Marland, Gregg, additional, Miranda, Marcela, additional, Naipal, Victoria, additional, Naudts, Kim, additional, Neigh, Christopher S.R., additional, Neto, Eráclito Souza, additional, Nevison, Cynthia, additional, Niu, Shuli, additional, Oda, Tomohiro, additional, Ogle, Stephen M., additional, Ometto, Jean Pierre, additional, Ott, Lesley, additional, Pacheco, Felipe S., additional, Parmentier, Frans-Jan W., additional, Patra, Prabir K., additional, Petrescu, A.M. Roxana, additional, Pongratz, Julia, additional, Poulter, Benjamin, additional, Pugh, Thomas A.M., additional, Ramaswami, Anu, additional, Raymond, Peter A., additional, Rezende, Luiz Felipe, additional, Ribeiro, Kelly, additional, Roten, Dustin, additional, Schädel, Christina, additional, Schuur, Edward A.G., additional, Sitch, Stephen, additional, Smith, Pete, additional, Smith, William Kolby, additional, Taboada, Miguel, additional, Thompson, Rona L., additional, Tong, Kangkang, additional, Troxler, Tiffany G., additional, Tubiello, Francesco N., additional, Turner, Alexander J., additional, Villalobos, Yohanna, additional, von Randow, Celso, additional, Watts, Jennifer, additional, Welp, Lisa R., additional, Windham-Myers, Lisamarie, additional, and Zavala-Araiza, Daniel, additional
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- 2022
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14. Agricultural systems
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Ogle, Stephen M., primary, Smith, Pete, additional, Tubiello, Francesco N., additional, Archibeque, Shawn, additional, Taboada, Miguel, additional, Campbell, Donovan, additional, and Nevison, Cynthia, additional
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- 2022
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15. A global FAOSTAT reference database of cropland nutrient budgets and nutrient use efficiency (1961–2020): nitrogen, phosphorus and potassium
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Ludemann, Cameron I., primary, Wanner, Nathan, additional, Chivenge, Pauline, additional, Dobermann, Achim, additional, Einarsson, Rasmus, additional, Grassini, Patricio, additional, Gruere, Armelle, additional, Jackson, Kevin, additional, Lassaletta, Luis, additional, Maggi, Federico, additional, Obli-Laryea, Griffiths, additional, van Ittersum, Martin K., additional, Vishwakarma, Srishti, additional, Zhang, Xin, additional, and Tubiello, Francesco N., additional
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- 2024
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16. Supplementary material to "Reconciliation of observation- and inventory- based methane emissions for eight large global emitters"
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Petrescu, Ana Maria Roxana, primary, Peters, Glen P., additional, Engelen, Richard, additional, Houweling, Sander, additional, Brunner, Dominik, additional, Tsuruta, Aki, additional, Matthews, Bradley, additional, Patra, Prabir K., additional, Belikov, Dmitry, additional, Thompson, Rona L., additional, Höglund-Isaksson, Lena, additional, Zhang, Wenxin, additional, Segers, Arjo J., additional, Etiope, Giuseppe, additional, Ciotoli, Giancarlo, additional, Peylin, Philippe, additional, Chevallier, Frédéric, additional, Aalto, Tuula, additional, Andrew, Robbie M., additional, Bastviken, David, additional, Berchet, Antoine, additional, Broquet, Grégoire, additional, Conchedda, Giulia, additional, Gütschow, Johannes, additional, Haussaire, Jean-Matthieu, additional, Lauerwald, Ronny, additional, Markkanen, Tiina, additional, van Peet, Jacob C. A., additional, Pison, Isabelle, additional, Regnier, Pierre, additional, Solum, Espen, additional, Scholze, Marko, additional, Tenkanen, Maria, additional, Tubiello, Francesco N., additional, van der Werf, Guido R., additional, and Worden, John R., additional
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- 2024
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17. Reconciliation of observation- and inventory- based methane emissions for eight large global emitters
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Petrescu, Ana Maria Roxana, primary, Peters, Glen P., additional, Engelen, Richard, additional, Houweling, Sander, additional, Brunner, Dominik, additional, Tsuruta, Aki, additional, Matthews, Bradley, additional, Patra, Prabir K., additional, Belikov, Dmitry, additional, Thompson, Rona L., additional, Höglund-Isaksson, Lena, additional, Zhang, Wenxin, additional, Segers, Arjo J., additional, Etiope, Giuseppe, additional, Ciotoli, Giancarlo, additional, Peylin, Philippe, additional, Chevallier, Frédéric, additional, Aalto, Tuula, additional, Andrew, Robbie M., additional, Bastviken, David, additional, Berchet, Antoine, additional, Broquet, Grégoire, additional, Conchedda, Giulia, additional, Gütschow, Johannes, additional, Haussaire, Jean-Matthieu, additional, Lauerwald, Ronny, additional, Markkanen, Tiina, additional, van Peet, Jacob C. A., additional, Pison, Isabelle, additional, Regnier, Pierre, additional, Solum, Espen, additional, Scholze, Marko, additional, Tenkanen, Maria, additional, Tubiello, Francesco N., additional, van der Werf, Guido R., additional, and Worden, John R., additional
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- 2024
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18. Viewpoint: Rigorous monitoring is necessary to guide food system transformation in the countdown to the 2030 global goals
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Fanzo, Jessica, Haddad, Lawrence, Schneider, Kate R., Béné, Christophe, Covic, Namukolo M., Guarin, Alejandro, Herforth, Anna W., Herrero, Mario, Sumaila, U. Rashid, Aburto, Nancy J., Amuyunzu-Nyamongo, Mary, Barquera, Simon, Battersby, Jane, Beal, Ty, Bizzotto Molina, Paulina, Brusset, Emery, Cafiero, Carlo, Campeau, Christine, Caron, Patrick, Cattaneo, Andrea, Conforti, Piero, Davis, Claire, DeClerck, Fabrice A.J., Elouafi, Ismahane, Fabi, Carola, Gephart, Jessica A., Golden, Christopher D., Hendriks, Sheryl L., Huang, Jikun, Laar, Amos, Lal, Rattan, Lidder, Preetmoninder, Loken, Brent, Marshall, Quinn, Masuda, Yuta J., McLaren, Rebecca, Neufeld, Lynnette M., Nordhagen, Stella, Remans, Roseline, Resnick, Danielle, Silverberg, Marissa, Torero Cullen, Maximo, Tubiello, Francesco N., Vivero-Pol, Jose-Luis, Wei, Shijin, and Rosero Moncayo, Jose
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- 2021
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19. Global greenhouse gas emissions from animal-based foods are twice those of plant-based foods
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Xu, Xiaoming, Sharma, Prateek, Shu, Shijie, Lin, Tzu-Shun, Ciais, Philippe, Tubiello, Francesco N., Smith, Pete, Campbell, Nelson, and Jain, Atul K.
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- 2021
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20. Quantification of global and national nitrogen budgets for crop production
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Zhang, Xin, Zou, Tan, Lassaletta, Luis, Mueller, Nathaniel D., Tubiello, Francesco N., Lisk, Matthew D., Lu, Chaoqun, Conant, Richard T., Dorich, Christopher D., Gerber, James, Tian, Hanqin, Bruulsema, Tom, Maaz, Tai McClellan, Nishina, Kazuya, Bodirsky, Benjamin Leon, Popp, Alexander, Bouwman, Lex, Beusen, Arthur, Chang, Jinfeng, Havlík, Petr, Leclère, David, Canadell, Josep G., Jackson, Robert B., Heffer, Patrick, Wanner, Nathan, Zhang, Weifeng, and Davidson, Eric A.
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- 2021
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21. Author Correction: Measuring the world’s cropland area
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Tubiello, Francesco N., Conchedda, Giulia, Casse, Leon, Pengyu, Hao, Zhongxin, Chen, De Santis, Giorgia, Fritz, Steffen, and Muchoney, Douglas
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- 2023
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22. Searching for “Win-Win” solutions for food-water-GHG emissions tradeoffs across irrigation regimes of paddy rice in China
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Tian, Zhan, Fan, Yidan, Wang, Kai, Zhong, Honglin, Sun, Laixiang, Fan, Dongli, Tubiello, Francesco N., and Liu, Junguo
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- 2021
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23. Variability and quasi-decadal changes in the methane budget over the period 2000–2012
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Saunois, Marielle, Bousquet, Philippe, Poulter, Ben, Peregon, Anna, Ciais, Philippe, Canadell, Josep G, Dlugokencky, Edward J, Etiope, Giuseppe, Bastviken, David, Houweling, Sander, Janssens-Maenhout, Greet, Tubiello, Francesco N, Castaldi, Simona, Jackson, Robert B, Alexe, Mihai, Arora, Vivek K, Beerling, David J, Bergamaschi, Peter, Blake, Donald R, Brailsford, Gordon, Bruhwiler, Lori, Crevoisier, Cyril, Crill, Patrick, Covey, Kristofer, Frankenberg, Christian, Gedney, Nicola, Höglund-Isaksson, Lena, Ishizawa, Misa, Ito, Akihiko, Joos, Fortunat, Kim, Heon-Sook, Kleinen, Thomas, Krummel, Paul, Lamarque, Jean-François, Langenfelds, Ray, Locatelli, Robin, Machida, Toshinobu, Maksyutov, Shamil, Melton, Joe R, Morino, Isamu, Naik, Vaishali, O'Doherty, Simon, Parmentier, Frans-Jan W, Patra, Prabir K, Peng, Changhui, Peng, Shushi, Peters, Glen P, Pison, Isabelle, Prinn, Ronald, Ramonet, Michel, Riley, William J, Saito, Makoto, Santini, Monia, Schroeder, Ronny, Simpson, Isobel J, Spahni, Renato, Takizawa, Atsushi, Thornton, Brett F, Tian, Hanqin, Tohjima, Yasunori, Viovy, Nicolas, Voulgarakis, Apostolos, Weiss, Ray, Wilton, David J, Wiltshire, Andy, Worthy, Doug, Wunch, Debra, Xu, Xiyan, Yoshida, Yukio, Zhang, Bowen, Zhang, Zhen, and Zhu, Qiuan
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Earth Sciences ,Atmospheric Sciences ,Climate Action ,Astronomical and Space Sciences ,Meteorology & Atmospheric Sciences ,Atmospheric sciences ,Climate change science - Abstract
Following the recent Global Carbon Project (GCP) synthesis of the decadal methane (CH4) budget over 2000-2012 (Saunois et al., 2016), we analyse here the same dataset with a focus on quasi-decadal and inter-annual variability in CH4 emissions. The GCP dataset integrates results from top-down studies (exploiting atmospheric observations within an atmospheric inverse-modelling framework) and bottom-up models (including process-based models for estimating land surface emissions and atmospheric chemistry), inventories of anthropogenic emissions, and data-driven approaches. The annual global methane emissions from top-down studies, which by construction match the observed methane growth rate within their uncertainties, all show an increase in total methane emissions over the period 2000-2012, but this increase is not linear over the 13 years. Despite differences between individual studies, the mean emission anomaly of the top-down ensemble shows no significant trend in total methane emissions over the period 2000-2006, during the plateau of atmospheric methane mole fractions, and also over the period 2008-2012, during the renewed atmospheric methane increase. However, the top-down ensemble mean produces an emission shift between 2006 and 2008, leading to 22 [16-32]Tg CH4yr-1 higher methane emissions over the period 2008-2012 compared to 2002-2006. This emission increase mostly originated from the tropics, with a smaller contribution from mid-latitudes and no significant change from boreal regions. The regional contributions remain uncertain in top-down studies. Tropical South America and South and East Asia seem to contribute the most to the emission increase in the tropics. However, these two regions have only limited atmospheric measurements and remain therefore poorly constrained. The sectorial partitioning of this emission increase between the periods 2002-2006 and 2008-2012 differs from one atmospheric inversion study to another. However, all top-down studies suggest smaller changes in fossil fuel emissions (from oil, gas, and coal industries) compared to the mean of the bottom-up inventories included in this study. This difference is partly driven by a smaller emission change in China from the top-down studies compared to the estimate in the Emission Database for Global Atmospheric Research (EDGARv4.2) inventory, which should be revised to smaller values in a near future. We apply isotopic signatures to the emission changes estimated for individual studies based on five emission sectors and find that for six individual top-down studies (out of eight) the average isotopic signature of the emission changes is not consistent with the observed change in atmospheric 13CH4. However, the partitioning in emission change derived from the ensemble mean is consistent with this isotopic constraint. At the global scale, the top-down ensemble mean suggests that the dominant contribution to the resumed atmospheric CH4 growth after 2006 comes from microbial sources (more from agriculture and waste sectors than from natural wetlands), with an uncertain but smaller contribution from fossil CH4 emissions. In addition, a decrease in biomass burning emissions (in agreement with the biomass burning emission databases) makes the balance of sources consistent with atmospheric 13CH4 observations. In most of the top-down studies included here, OH concentrations are considered constant over the years (seasonal variations but without any inter-annual variability). As a result, the methane loss (in particular through OH oxidation) varies mainly through the change in methane concentrations and not its oxidants. For these reasons, changes in the methane loss could not be properly investigated in this study, although it may play a significant role in the recent atmospheric methane changes as briefly discussed at the end of the paper.
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- 2017
24. Critical adjustment of land mitigation pathways for assessing countries’ climate progress
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Grassi, Giacomo, Stehfest, Elke, Rogelj, Joeri, van Vuuren, Detlef, Cescatti, Alessandro, House, Jo, Nabuurs, Gert-Jan, Rossi, Simone, Alkama, Ramdane, Viñas, Raúl Abad, Calvin, Katherine, Ceccherini, Guido, Federici, Sandro, Fujimori, Shinichiro, Gusti, Mykola, Hasegawa, Tomoko, Havlik, Petr, Humpenöder, Florian, Korosuo, Anu, Perugini, Lucia, Tubiello, Francesco N., and Popp, Alexander
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- 2021
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25. CROPGRIDS: a global geo-referenced dataset of 173 crops.
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Tang, Fiona H. M., Nguyen, Thu Ha, Conchedda, Giulia, Casse, Leon, Tubiello, Francesco N., and Maggi, Federico
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CROPS ,OFFICES ,SPATIAL resolution - Abstract
CROPGRIDS is a comprehensive global geo-referenced dataset providing area information for 173 crops for the year 2020, at a resolution of 0.05° (about 5.6 km at the equator). It represents a major update of the Monfreda et al. (2008) dataset (hereafter MRF), the most widely used geospatial dataset previously available, covering 175 crops with reference year 2000 at 10 km spatial resolution. CROPGRIDS builds on information originally provided in MRF and expands it using 27 selected published gridded datasets, subnational data of 52 countries obtained from National Statistical Offices, and the 2020 national-level statistics from FAOSTAT, providing more recent harvested and crop (physical) areas for 173 crops at regional, national, and global levels. The CROPGRIDS data advance the current state of knowledge on the spatial distribution of crops, providing useful inputs for modelling studies and sustainability analyses relevant to national and international processes. [ABSTRACT FROM AUTHOR]
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- 2024
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26. The Global Methane Budget: 2000–2012
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Saunois, Marielle, Bousquet, Philippe, Poulter, Ben, Peregon, Anna, Ciais, Philippe, Canadell, Josep G, Dlugokencky, Edward J, Etiope, Giuseppe, Bastviken, David, Houweling, Sander, Janssens-Maenhout, Greet, Tubiello, Francesco N, Castaldi, Simona, Jackson, Robert B, Alexe, Mihai, Arora, Vivek K, Beerling, David J, Bergamaschi, Peter, Blake, Donald R, Brailsford, Gordon, Brovkin, Victor, Bruhwiler, Lori, Crevoisier, Cyril, Crill, Patrick, Curry, Charles, Frankenberg, Christian, Gedney, Nicola, Höglund-Isaksson, Lena, Ishizawa, Misa, Ito, Akihiko, Joos, Fortunat, Kim, Heon-Sook, Kleinen, Thomas, Krummel, Paul, Lamarque, Jean-François, Langenfelds, Ray, Locatelli, Robin, Machida, Toshinobu, Maksyutov, Shamil, McDonald, Kyle C, Marshall, Julia, Melton, Joe R, Morino, Isamu, O'Doherty, Simon, Parmentier, Frans-Jan W, Patra, Prabir K, Peng, Changhui, Peng, Shushi, Peters, Glen P, Pison, Isabelle, Prigent, Catherine, Prinn, Ronald, Ramonet, Michel, Riley, William J, Saito, Makoto, Schroeder, Ronny, Simpson, Isobel J, Spahni, Renato, Steele, Paul, Takizawa, Atsushi, Thornton, Brett F, Tian, Hanqin, Tohjima, Yasunori, Viovy, Nicolas, Voulgarakis, Apostolos, van Weele, Michiel, van der Werf, Guido, Weiss, Ray, Wiedinmyer, Christine, Wilton, David J, Wiltshire, Andy, Worthy, Doug, Wunch, Debra B, Xu, Xiyan, Yoshida, Yukio, Zhang, Bowen, Zhang, Zhen, and Zhu, Qiuan
- Abstract
Abstract. The global methane (CH4) budget is becoming an increasingly important component for managing realistic pathways to mitigate climate change. This relevance, due to a shorter atmospheric lifetime and a stronger warming potential than carbon dioxide, is challenged by the still unexplained changes of atmospheric CH4 over the past decade. Emissions and concentrations of CH4 are continuing to increase making CH4 the second most important human-induced greenhouse gas after carbon dioxide. Two major difficulties in reducing uncertainties come from the large variety of diffusive CH4 sources that overlap geographically, and from the destruction of CH4 by the very short-lived hydroxyl radical (OH). To address these difficulties, we have established a consortium of multi-disciplinary scientists under the umbrella of the Global Carbon Project to synthesize and stimulate research on the methane cycle, and producing regular (~biennial) updates of the global methane budget. This consortium includes atmospheric physicists and chemists, biogeochemists of surface and marine emissions, and socio-economists who study anthropogenic emissions. Following Kirschke et al. (2013), we propose here the first version of a living review paper that integrates results of top-down studies (T-D, exploiting atmospheric observations within an atmospheric inverse-modelling framework) and bottom-up models, inventories, and data-driven approaches (B-U, including process-based models for estimating land surface emissions and atmospheric chemistry, and inventories for anthropogenic emissions, data-driven extrapolations). For the 2003–2012 decade, global methane emissions are estimated by T-D inversions at 558 Tg CH4 yr−1 (range [540–568]). About 60 % of global emissions are anthropogenic (range [50–65 %]). B-U approaches suggest larger global emissions (736 Tg CH4 yr−1 [596–884]) mostly because of larger natural emissions from individual sources such as inland waters, natural wetlands and geological sources. Considering the atmospheric constraints on the T-D budget, it is likely that some of the individual emissions reported by the B-U approaches are overestimated, leading to too large global emissions. Latitudinal data from T-D emissions indicate a predominance of tropical emissions (~64 % of the global budget,
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- 2016
27. Supplementary material to "Global Nitrous Oxide Budget 1980–2020"
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Tian, Hanqin, primary, Pan, Naiqing, additional, Thompson, Rona L., additional, Canadell, Josep G., additional, Suntharalingam, Parvadha, additional, Regnier, Pierre, additional, Davidson, Eric A., additional, Prather, Michael, additional, Ciais, Philippe, additional, Muntean, Marilena, additional, Pan, Shufen, additional, Winiwarter, Wilfried, additional, Zaehle, Sönke, additional, Zhou, Feng, additional, Jackson, Robert B., additional, Bange, Hermann W., additional, Berthet, Sarah, additional, Bian, Zihao, additional, Bianchi, Daniele, additional, Bouwman, Alexander F., additional, Buitenhuis, Erik T., additional, Dutton, Geoffrey, additional, Hu, Minpeng, additional, Ito, Akihiko, additional, Jain, Atul K., additional, Jeltsch-Thömmes, Aurich, additional, Joos, Fortunat, additional, Kou-Giesbrecht, Sian, additional, Krummel, Paul B., additional, Lan, Xin, additional, Landolfi, Angela, additional, Lauerwald, Ronny, additional, Li, Ya, additional, Lu, Chaoqun, additional, Maavara, Taylor, additional, Manizza, Manfredi, additional, Millet, Dylan B., additional, Mühle, Jens, additional, Patra, Prabir K., additional, Peters, Glen P., additional, Qin, Xiaoyu, additional, Raymond, Peter, additional, Resplandy, Laure, additional, Rosentreter, Judith A., additional, Shi, Hao, additional, Sun, Qing, additional, Tonina, Daniele, additional, Tubiello, Francesco N., additional, van der Werf, Guido R., additional, Vuichard, Nicolas, additional, Wang, Junjie, additional, Wells, Kelley C., additional, Western, Luke M., additional, Wilson, Chris, additional, Yang, Jia, additional, Yao, Yuanzhi, additional, You, Yongfa, additional, and Zhu, Qing, additional
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- 2023
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28. Global Nitrous Oxide Budget 1980–2020
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Tian, Hanqin, primary, Pan, Naiqing, additional, Thompson, Rona L., additional, Canadell, Josep G., additional, Suntharalingam, Parvadha, additional, Regnier, Pierre, additional, Davidson, Eric A., additional, Prather, Michael, additional, Ciais, Philippe, additional, Muntean, Marilena, additional, Pan, Shufen, additional, Winiwarter, Wilfried, additional, Zaehle, Sönke, additional, Zhou, Feng, additional, Jackson, Robert B., additional, Bange, Hermann W., additional, Berthet, Sarah, additional, Bian, Zihao, additional, Bianchi, Daniele, additional, Bouwman, Alexander F., additional, Buitenhuis, Erik T., additional, Dutton, Geoffrey, additional, Hu, Minpeng, additional, Ito, Akihiko, additional, Jain, Atul K., additional, Jeltsch-Thömmes, Aurich, additional, Joos, Fortunat, additional, Kou-Giesbrecht, Sian, additional, Krummel, Paul B., additional, Lan, Xin, additional, Landolfi, Angela, additional, Lauerwald, Ronny, additional, Li, Ya, additional, Lu, Chaoqun, additional, Maavara, Taylor, additional, Manizza, Manfredi, additional, Millet, Dylan B., additional, Mühle, Jens, additional, Patra, Prabir K., additional, Peters, Glen P., additional, Qin, Xiaoyu, additional, Raymond, Peter, additional, Resplandy, Laure, additional, Rosentreter, Judith A., additional, Shi, Hao, additional, Sun, Qing, additional, Tonina, Daniele, additional, Tubiello, Francesco N., additional, van der Werf, Guido R., additional, Vuichard, Nicolas, additional, Wang, Junjie, additional, Wells, Kelley C., additional, Western, Luke M., additional, Wilson, Chris, additional, Yang, Jia, additional, Yao, Yuanzhi, additional, You, Yongfa, additional, and Zhu, Qing, additional
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- 2023
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29. The consolidated European synthesis of CO2 emissions and removals for the European Union and United Kingdom: 1990–2020
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McGrath, Matthew J., primary, Petrescu, Ana Maria Roxana, additional, Peylin, Philippe, additional, Andrew, Robbie M., additional, Matthews, Bradley, additional, Dentener, Frank, additional, Balkovič, Juraj, additional, Bastrikov, Vladislav, additional, Becker, Meike, additional, Broquet, Gregoire, additional, Ciais, Philippe, additional, Fortems-Cheiney, Audrey, additional, Ganzenmüller, Raphael, additional, Grassi, Giacomo, additional, Harris, Ian, additional, Jones, Matthew, additional, Knauer, Jürgen, additional, Kuhnert, Matthias, additional, Monteil, Guillaume, additional, Munassar, Saqr, additional, Palmer, Paul I., additional, Peters, Glen P., additional, Qiu, Chunjing, additional, Schelhaas, Mart-Jan, additional, Tarasova, Oksana, additional, Vizzarri, Matteo, additional, Winkler, Karina, additional, Balsamo, Gianpaolo, additional, Berchet, Antoine, additional, Briggs, Peter, additional, Brockmann, Patrick, additional, Chevallier, Frédéric, additional, Conchedda, Giulia, additional, Crippa, Monica, additional, Dellaert, Stijn N. C., additional, Denier van der Gon, Hugo A. C., additional, Filipek, Sara, additional, Friedlingstein, Pierre, additional, Fuchs, Richard, additional, Gauss, Michael, additional, Gerbig, Christoph, additional, Guizzardi, Diego, additional, Günther, Dirk, additional, Houghton, Richard A., additional, Janssens-Maenhout, Greet, additional, Lauerwald, Ronny, additional, Lerink, Bas, additional, Luijkx, Ingrid T., additional, Moulas, Géraud, additional, Muntean, Marilena, additional, Nabuurs, Gert-Jan, additional, Paquirissamy, Aurélie, additional, Perugini, Lucia, additional, Peters, Wouter, additional, Pilli, Roberto, additional, Pongratz, Julia, additional, Regnier, Pierre, additional, Scholze, Marko, additional, Serengil, Yusuf, additional, Smith, Pete, additional, Solazzo, Efisio, additional, Thompson, Rona L., additional, Tubiello, Francesco N., additional, Vesala, Timo, additional, and Walther, Sophia, additional
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- 2023
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30. Narrowing uncertainties in the effects of elevated CO2 on crops
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Toreti, Andrea, Deryng, Delphine, Tubiello, Francesco N., Müller, Christoph, Kimball, Bruce A., Moser, Gerald, Boote, Kenneth, Asseng, Senthold, Pugh, Thomas A. M., Vanuytrecht, Eline, Pleijel, Håkan, Webber, Heidi, Durand, Jean-Louis, Dentener, Frank, Ceglar, Andrej, Wang, Xuhui, Badeck, Franz, Lecerf, Remi, Wall, Gerard W., van den Berg, Maurits, Hoegy, Petra, Lopez-Lozano, Raul, Zampieri, Matteo, Galmarini, Stefano, O’Leary, Garry J., Manderscheid, Remy, Mencos Contreras, Erik, and Rosenzweig, Cynthia
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- 2020
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31. New estimates of greenhouse gas emissions from biomass burning and peat fires using MODIS Collection 6 burned areas
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Prosperi, Paolo, Bloise, Mario, Tubiello, Francesco N., Conchedda, Giulia, Rossi, Simone, Boschetti, Luigi, Salvatore, Mirella, and Bernoux, Martial
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- 2020
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32. Climate change responses benefit from a global food system approach
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Rosenzweig, Cynthia, Mbow, Cheikh, Barioni, Luis G., Benton, Tim G., Herrero, Mario, Krishnapillai, Murukesan, Liwenga, Emma T., Pradhan, Prajal, Rivera-Ferre, Marta G., Sapkota, Tek, Tubiello, Francesco N., Xu, Yinlong, Mencos Contreras, Erik, and Portugal-Pereira, Joana
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- 2020
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33. Reply on RC1
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Tubiello, Francesco N., primary
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- 2023
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34. Country-level estimates of gross and net carbon fluxes from land use, land-use change and forestry
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Obermeier, Wolfgang A., primary, Schwingshackl, Clemens, additional, Bastos, Ana, additional, Conchedda, Giulia, additional, Gasser, Thomas, additional, Grassi, Giacomo, additional, Houghton, Richard A., additional, Tubiello, Francesco N., additional, Sitch, Stephen, additional, and Pongratz, Julia, additional
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- 2023
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35. Climate goals require food systems emission inventories
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Crippa, Monica, Solazzo, Efisio, Guizzardi, Diego, Tubiello, Francesco N., and Leip, Adrian
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- 2022
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36. CROPGRIDS: A global geo-referenced dataset of 173 crops circa 2020
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Tang, Fiona H. M., primary, Nguyen, Thu Ha, additional, Conchedda, Giulia, additional, Casse, Leon, additional, Tubiello, Francesco N., additional, and Maggi, Federico, additional
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- 2023
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37. Supplementary material to "CROPGRIDS: A global geo-referenced dataset of 173 crops circa 2020"
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Tang, Fiona H. M., primary, Nguyen, Thu Ha, additional, Conchedda, Giulia, additional, Casse, Leon, additional, Tubiello, Francesco N., additional, and Maggi, Federico, additional
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- 2023
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38. A new cropland area database by country circa 2020.
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Tubiello, Francesco N., Conchedda, Giulia, Casse, Leon, Hao, Pengyu, De Santis, Giorgia, and Chen, Zhongxin
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FARMS , *DATABASES , *LAND cover , *REMOTE sensing , *AGRICULTURE - Abstract
We describe a new dataset of cropland area circa the year 2020, with global coverage and with data for 221 countries and territories and 34 regional aggregates. Data are generated from geospatial information on the agreement–disagreement characteristics of six open-access high-resolution cropland maps derived from remote sensing. The cropland area mapping (CAM) aggregation dataset provides information on (i) mean cropland area and its uncertainty, (ii) cropland area by six distinct cropland agreement classes, and (iii) cropland area by specific combinations of underlying land cover product. The results indicated that world cropland area is 1500 ± 400 Mha (mean and 95 % confidence interval), with a relative uncertainty of 25 % that increased across regions. It was 50 % in Central Asia (40 ± 20 Mha), South America (180 ± 80 Mha), and Southern Europe (40 ± 20 Mha) and up to 40 % in Australia and New Zealand (50 ± 20 Mha), Southeastern Asia (80 ± 30 Mha), and Southern Africa (16 ± 6 Mha). Conversely, cropland area was estimated with better precision, i.e., smaller uncertainties in the range 10 %–25 % in Southern Asia (230 ± 30 Mha), Northern America (200 ± 40 Mha), Northern Africa (40 ± 10 Mha), and Eastern Europe and Western Europe (40 ± 10 Mha). The new data can be used to investigate the coherence of information across the six underlying products, as well as to explore important disagreement features. Overall, 70 % or more of the estimated mean cropland area globally and by region corresponded to good agreement of underlying land cover maps – four or more. Conversely, in Africa cropland area estimates found significant disagreement, highlighting mapping difficulties in complex landscapes. Finally, the new cropland area data were consistent with FAOSTAT (FAO, 2023) in 15 out of 18 world regions, as well as for 114 out of 182 countries with a cropland area above 10 kha. By helping to highlight features of cropland characteristics and underlying causes for agreement–disagreement across land cover products, the CAM aggregation dataset may be used as a reference for the quality of country statistics and may help guide future mapping efforts towards improved agricultural monitoring. Data are publicly available at 10.5281/zenodo.7987515 (Tubiello et al., 2023a). [ABSTRACT FROM AUTHOR]
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- 2023
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39. Organic Matter Database (OMD): Consolidating global residue data from agriculture, fisheries, forestry and related industries.
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Sileshi, Gudeta Weldesemayat, Barrios, Edmundo, Lehmann, Johannes, and Tubiello, Francesco N.
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GREENHOUSE gases ,DATABASES ,NONPOINT source pollution ,CIRCULAR economy ,ORGANIC compounds ,FISHERIES ,AGRICULTURAL technology ,FORESTS & forestry - Abstract
Agricultural, fisheries, forestry and agro-processing activities produce large quantities of residues, by-products and waste materials every year. Inefficient use of these resources contributes to greenhouse gas emissions and non-point pollution, imposing significant environmental and economic burdens to society. Since many nations do not keep statistics of these materials, it has not been possible to accurately quantify the amounts produced and potentially available for recycling. Therefore, the objectives of the present work were to provide: (1) definitions, typologies and methods to aid consistent classification, estimation and reporting of the various residues and by23 products; (2) a global organic matter database (OMD) of residues and by-products from agriculture, fisheries, forestry and related industries; and (3) preliminary estimates of residues and by-products potentially available for use in a circular bio-economy. To the best of our knowledge, the OMD is the first of its kind consolidating quantities and nutrient concentrations of residues and by-products from agriculture, fisheries, forestry and allied industries globally. The OMD and its associated products will be continuously updated as new production data are published in FAOSTAT, and this information is expected to contribute to evidence-based policies and actions in support of sustainable utilization and the transition towards a circular economy. The estimates in OMD are available only at the national level. Due to the lack of uniform methodology and data across countries, it was difficult to accurately estimate the quantities of all agricultural, fisheries and forestry residue and by-products. Therefore, we strongly recommend investment in the inventory of agricultural, fisheries and forestry residues, by-products and wastes for use in a circular bio35 economy and as amendments. [ABSTRACT FROM AUTHOR]
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- 2023
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40. Chapter 5: Food Security
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Mbow, Cheikh, Rosenzweig, Cynthia E, Barioni, Luis G, Benton, Tim G, Herrero, Mario, Krishnapillai, Murukesan, Ruane, Alexander C, Liwenga, Emma, Pradhan, Prajal, Rivera-Ferre, Marta G, Sapkota, Tek, Tubiello, Francesco N, Xu, Yinlong, Mencos Contreras, Erik A, Periera, Joana Portugal, Blanchard, Julia, Fanzo, Jessica, Frank, Stefan, Kriewald, Steffan, Lanigan, Gary, Lopez, Daniel, Mason-D'Croz, Daniel, Neofotis, Peter, Pant, Laxmi, Rodrigues, Renato, Ruane, Alex C, Waha, Katharina, Benkeblia, Noureddine, Challinor, Andrew, Khan, Amanullah, Porter, John R, Contreras, Erik Mencos, and Diouf, Abdoul Aziz
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Meteorology And Climatology - Abstract
The current food system (production, transport, processing, packaging, storage, retail, consumption, loss and waste) feeds the great majority of world population and supports the livelihoods of over 1 billion people. Since 1961, food supply per capita has increased more than 30%, accompanied by greater use of nitrogen fertilisers (increase of about 800%) and water resources for irrigation (increase of more than 100%). However, an estimated 821 million people are currently undernourished, 151 million children under five are stunted, 613 million women and girls aged 15 to 49 suffer from iron deficiency, and 2 billion adults are overweight or obese. The food system is under pressure from non-climate stressors (e.g., population and income growth, demand for animal-sourced products), and from climate change. These climate and non-climate stresses are impacting the four pillars of food security (availability, access, utilisation, and stability).
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- 2020
41. The consolidated European synthesis of CH4 and N2O emissions for the European Union and United Kingdom: 1990–2019
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Petrescu, Ana Maria Roxana, primary, Qiu, Chunjing, additional, McGrath, Matthew J., additional, Peylin, Philippe, additional, Peters, Glen P., additional, Ciais, Philippe, additional, Thompson, Rona L., additional, Tsuruta, Aki, additional, Brunner, Dominik, additional, Kuhnert, Matthias, additional, Matthews, Bradley, additional, Palmer, Paul I., additional, Tarasova, Oksana, additional, Regnier, Pierre, additional, Lauerwald, Ronny, additional, Bastviken, David, additional, Höglund-Isaksson, Lena, additional, Winiwarter, Wilfried, additional, Etiope, Giuseppe, additional, Aalto, Tuula, additional, Balsamo, Gianpaolo, additional, Bastrikov, Vladislav, additional, Berchet, Antoine, additional, Brockmann, Patrick, additional, Ciotoli, Giancarlo, additional, Conchedda, Giulia, additional, Crippa, Monica, additional, Dentener, Frank, additional, Groot Zwaaftink, Christine D., additional, Guizzardi, Diego, additional, Günther, Dirk, additional, Haussaire, Jean-Matthieu, additional, Houweling, Sander, additional, Janssens-Maenhout, Greet, additional, Kouyate, Massaer, additional, Leip, Adrian, additional, Leppänen, Antti, additional, Lugato, Emanuele, additional, Maisonnier, Manon, additional, Manning, Alistair J., additional, Markkanen, Tiina, additional, McNorton, Joe, additional, Muntean, Marilena, additional, Oreggioni, Gabriel D., additional, Patra, Prabir K., additional, Perugini, Lucia, additional, Pison, Isabelle, additional, Raivonen, Maarit T., additional, Saunois, Marielle, additional, Segers, Arjo J., additional, Smith, Pete, additional, Solazzo, Efisio, additional, Tian, Hanqin, additional, Tubiello, Francesco N., additional, Vesala, Timo, additional, van der Werf, Guido R., additional, Wilson, Chris, additional, and Zaehle, Sönke, additional
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- 2023
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42. The consolidated European synthesis of CO2 emissions and removals for EU27 and UK: 1990–2020
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McGrath, Matthew Joseph, primary, Petrescu, Ana Maria Roxana, additional, Peylin, Philippe, additional, Andrew, Robbie M., additional, Matthews, Bradley, additional, Dentener, Frank, additional, Balkovič, Juraj, additional, Bastrikov, Vladislav, additional, Becker, Meike, additional, Broquet, Gregoire, additional, Ciais, Philippe, additional, Fortems, Audrey, additional, Ganzenmüller, Raphael, additional, Grassi, Giacomo, additional, Harris, Ian, additional, Jones, Matthew, additional, Knauer, Juergen, additional, Kuhnert, Matthias, additional, Monteil, Guillaume, additional, Munassar, Saqr, additional, Palmer, Paul I., additional, Peters, Glen P., additional, Qiu, Chunjing, additional, Schelhaas, Mart-Jan, additional, Tarasova, Oksana, additional, Vizzarri, Matteo, additional, Winkler, Karina, additional, Balsamo, Gianpaolo, additional, Berchet, Antoine, additional, Briggs, Peter, additional, Brockmann, Patrick, additional, Chevallier, Frédéric, additional, Conchedda, Giulia, additional, Crippa, Monica, additional, Dellaert, Stijn, additional, Denier van der Gon, Hugo A. C., additional, Filipek, Sara, additional, Friedlingstein, Pierre, additional, Fuchs, Richard, additional, Gauss, Michael, additional, Gerbig, Christoph, additional, Guizzardi, Diego, additional, Günther, Dirk, additional, Houghton, Richard A., additional, Janssens-Maenhout, Greet, additional, Lauerwald, Ronny, additional, Lerink, Bas, additional, Luijkx, Ingrid T., additional, Moulas, Géraud, additional, Muntean, Marilena, additional, Nabuurs, Gert-Jan, additional, Paquirissamy, Aurélie, additional, Perugini, Lucia, additional, Peters, Wouter, additional, Pilli, Roberto, additional, Pongratz, Julia, additional, Regnier, Pierre, additional, Scholze, Marko, additional, Serengil, Yusuf, additional, Smith, Pete, additional, Solazzo, Efisio, additional, Thompson, Rona L., additional, Tubiello, Francesco N., additional, Vesala, Timo, additional, and Walther, Sophia, additional
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- 2023
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43. Supplementary material to "The consolidated European synthesis of CO2 emissions and removals for EU27 and UK: 1990–2020"
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McGrath, Matthew Joseph, primary, Petrescu, Ana Maria Roxana, additional, Peylin, Philippe, additional, Andrew, Robbie M., additional, Matthews, Bradley, additional, Dentener, Frank, additional, Balkovič, Juraj, additional, Bastrikov, Vladislav, additional, Becker, Meike, additional, Broquet, Gregoire, additional, Ciais, Philippe, additional, Fortems, Audrey, additional, Ganzenmüller, Raphael, additional, Grassi, Giacomo, additional, Harris, Ian, additional, Jones, Matthew, additional, Knauer, Juergen, additional, Kuhnert, Matthias, additional, Monteil, Guillaume, additional, Munassar, Saqr, additional, Palmer, Paul I., additional, Peters, Glen P., additional, Qiu, Chunjing, additional, Schelhaas, Mart-Jan, additional, Tarasova, Oksana, additional, Vizzarri, Matteo, additional, Winkler, Karina, additional, Balsamo, Gianpaolo, additional, Berchet, Antoine, additional, Briggs, Peter, additional, Brockmann, Patrick, additional, Chevallier, Frédéric, additional, Conchedda, Giulia, additional, Crippa, Monica, additional, Dellaert, Stijn, additional, Denier van der Gon, Hugo A. C., additional, Filipek, Sara, additional, Friedlingstein, Pierre, additional, Fuchs, Richard, additional, Gauss, Michael, additional, Gerbig, Christoph, additional, Guizzardi, Diego, additional, Günther, Dirk, additional, Houghton, Richard A., additional, Janssens-Maenhout, Greet, additional, Lauerwald, Ronny, additional, Lerink, Bas, additional, Luijkx, Ingrid T., additional, Moulas, Géraud, additional, Muntean, Marilena, additional, Nabuurs, Gert-Jan, additional, Paquirissamy, Aurélie, additional, Perugini, Lucia, additional, Peters, Wouter, additional, Pilli, Roberto, additional, Pongratz, Julia, additional, Regnier, Pierre, additional, Scholze, Marko, additional, Serengil, Yusuf, additional, Smith, Pete, additional, Solazzo, Efisio, additional, Thompson, Rona L., additional, Tubiello, Francesco N., additional, Vesala, Timo, additional, and Walther, Sophia, additional
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- 2023
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44. Statistics: unify ecosystems valuation
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Brown, Nils, Femia, Aldo, Fixler, Dennis, Gravgård Pedersen, Ole, Kaumanns, Sven C., Oneto, Gian Paolo, Schürz, Simon, Tubiello, Francesco N., and Wentland, Scott
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- 2021
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45. The consolidated European synthesis of CH4 and N2O emissions for EU27 and UK: 1990-2019
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Petrescu, Ana Maria Roxana, Qiu, Chunjing, McGrath, Matthew J., Peylin, Philippe, Peters, Glen P., Ciais, Philippe, Thompson, Rona L., Tsuruta, Aki, Brunner, Dominik, Kuhnert, Matthias, Matthews, Bradley, Palmer, Paul I., Tarasova, Oksana, Regnier, Pierre, Lauerwald, Ronny, Bastviken, David, Höglund-Isaksson, Lena, Winiwarter, Wilfried, Etiope, Giuseppe, Aalto, Tuula, Balsamo, Gianpaolo, Bastrikov, Vladislav, Berchet, Antoine, Brockmann, Patrick, Ciotoli, Giancarlo, Conchedda, Giulia, Crippa, Monica, Dentener, Frank, Groot Zwaaftink, Christine D., Guizzardi, Diego, Günther, Dirk, Haussaire, Jean-Matthieu, Houweling, Sander, Janssens-Maenhout, Greet, Kouyate, Massaer, Leip, Adrian, Leppänen, Antti, Lugato, Emanuele, Maisonnier, Manon, Markkanen, Tiina, McNorton, Joe, Muntean, Marilena, Oreggioni, Gabriel D., Patra, Prabir K., Perugini, Lucia, Pison, Isabelle, Raivonen, Maarit T., Saunois, Marielle, Smith, Pete, Solazzo, Efisio, Tian, Hanqin, Tubiello, Francesco N., Vesala, Timo, Wilson, Chris, Zaehle, Sönke, Segers, Arjo J., and Manning, Alistair J.
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methane, nitrous oxide, european synthesis, bottom-up estimates, inversions - Abstract
This repository contains the data files used for figures, and five updated figuresfrom essd-2022-287 Title: The consolidated European synthesis of CH4 and N2O emissions for EU27 and UK: 1990-2019 Author(s): Ana Maria Roxana Petrescu, Chunjing Qiu, Matthew J. McGrath, Philippe Peylin, Glen P. Peters, Philippe Ciais, Rona L. Thompson, Aki Tsuruta, Dominik Brunner, Matthias Kuhnert, Bradley Matthews, Paul I. Palmer, Oksana Tarasova, Pierre Regnier, Ronny Lauerwald, David Bastviken, Lena Höglund-Isaksson, Wilfried Winiwarter, Giuseppe Etiope, Tuula Aalto, Gianpaolo Balsamo, Vladislav Bastrikov, Antoine Berchet, Patrick Brockmann, Giancarlo Ciotoli, Giulia Conchedda, Monica Crippa, Frank Dentener, Christine D. Groot Zwaaftink, Diego Guizzardi, Dirk Günther, Jean-Matthieu Haussaire, Sander Houweling, Greet Janssens-Maenhout, Massaer Kouyate, Adrian Leip, Antti Leppänen, Emanuele Lugato, Manon Maisonnier, Alistair J. Manning, Tiina Markkanen, Joe McNorton, Marilena Muntean, Gabriel D. Oreggioni, Prabir K. Patra, Lucia Perugini, Isabelle Pison, Maarit T. Raivonen, Marielle Saunois, Arjo J. Segers, Pete Smith, Efisio Solazzo, Hanqin Tian, Francesco N. Tubiello, Timo Vesala, Chris W ilson, and Sönke Zaehle MS type: Review article The data and the DOI numberrefers to the updated version which include the two review comments
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- 2023
46. The FAO contribution to monitoring SDGs for food and agriculture
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Gennari, Pietro, Rosero-Moncayo, Jose, and Tubiello, Francesco N.
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- 2019
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47. Country-level estimates of gross and net carbon fluxes from land use, land-use change and forestry.
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Obermeier, Wolfgang A., Schwingshackl, Clemens, Bastos, Ana, Conchedda, Giulia, Gasser, Thomas, Grassi, Giacomo, Houghton, Richard A., Tubiello, Francesco N., Sitch, Stephen, and Pongratz, Julia
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LAND use ,RURAL geography ,FORESTS & forestry ,SPATIAL resolution ,GREENHOUSE gases ,CLIMATE change - Abstract
The reduction of CO
2 emissions and the enhancement of CO2 removals related to land use are considered essential for future pathways towards net-zero emissions and mitigating climate change. With the growing pressure under global climate treaties, country-level land use CO2 flux data are becoming increasingly important. So far, country-level estimates are mainly available through official country reports, such as the greenhouse gas inventories reported to the United Nations Framework Convention on Climate Change (UNFCCC). Recently, different modelling approaches, namely dynamic global vegetation models (DGVMs) and bookkeeping models, have moved to higher spatial resolutions, which makes it possible to obtain model-based country-level estimates that are globally consistent in their methodology. To progress towards a largely independent assessment of country reports using models, we analyse the robustness of country-level land use CO2 flux estimates from different modelling approaches in the period 1950–2021 and compare them with estimates from country reports. Our results highlight the general ability of modelling approaches to estimate land use CO2 fluxes at the country-level and on higher spatial resolution. Modelled land use CO2 flux estimates generally agree well, but the investigation of multiple DGVMs and bookkeeping models reveals that the robustness of their estimates strongly varies across countries, and substantial uncertainties remain even for top emitters. Similarly, modelled land use CO2 flux estimates and country report-based estimates agree reasonably well in many countries once their differing definitions are accounted for, although differences remain in some other countries. A separate analysis of CO2 emissions and removals from land use using bookkeeping models also shows that historical peaks in net fluxes stem from emission peaks in most countries, whereas the long-term trends are more connected to removal dynamics. The ratio of the net flux to the sum of CO2 emissions and removals from land use (the net-to-gross flux ratio) underlines the spatio-temporal heterogeneity in the drivers of net land use CO2 flux trends. In many tropical regions, net-to-gross flux ratios of about 50 % are due to much larger emissions than removals; in many temperate countries, ratios close to zero show that emissions and removals largely offset each other. Considering only the net flux thus potentially masks large emissions and removals and the different timescales upon which they act, particularly if averaged over countries or larger regions, highlighting the need for future studies to focus more on the gross fluxes. Data from this study are openly available via the Zenodo portal at https://doi.org/10.5281/zenodo.8144174 (Obermeier et al., 2023). [ABSTRACT FROM AUTHOR]- Published
- 2023
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48. A global reference database in FAOSTAT of cropland nutrient budgets and nutrient use efficiency: nitrogen, phosphorus and potassium, 1961-2020.
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Ludemann, Cameron I., Wanner, Nathan, Chivenge, Pauline, Dobermann, Achim, Einarsson, Rasmus, Grassini, Patricio, Gruere, Armelle, Jackson, Kevin, Lassaletta, Luis, Maggi, Federico, Obli-Laryea, Griffiths, van Ittersum, Martin K., Vishwakarma, Srishti, Xin Zhang, and Tubiello, Francesco N.
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ATMOSPHERIC nitrogen ,DATABASES ,FARMS ,POTASSIUM ,ATMOSPHERIC deposition ,AGRICULTURAL productivity - Abstract
Nutrient budgets help to identify excess or insufficient use of fertilizers and other nutrient sources in agriculture. They allow calculation of indicators such as the nutrient balance (surplus or deficit) and nutrient use efficiency that help in monitoring of agricultural productivity and sustainability across the world. We present a global database of country-level budget estimates for nitrogen (N), phosphorus (P) and potassium (K) in cropland. The database, disseminated in FAOSTAT, is meant to provide a global reference, synthesizing and continuously updating the state-of-the-art on this topic. The database covers 205 countries and territories, as well as regional and global aggregates, for the period 1961 to 2020. Results highlight the wide range in nutrient use and use efficiencies across geographic regions, nutrients, and time. For the year 2020, the data show regional average N surpluses that range from about 10 kg N ha
-1 year-1 in Africa to more than 90 kg N ha-1 year-1 in Asia. Furthermore, they highlight P and K deficits in Africa in 2020 and K deficits for the Americas. This study introduces improvements over previous work in relation to key nutrient coefficients affecting nutrient budgets and use efficiency estimates, especially for nutrient removal in crop products, manure nutrient content, atmospheric deposition and crop biological N fixation rates. We conclude by discussing future research directions, highlighting the need to align statistical definitions across research groups, as well as to further refine plant and livestock coefficients and expand estimates to all agricultural land, including nutrient flows in meadows and pastures. [ABSTRACT FROM AUTHOR]- Published
- 2023
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49. Influence of Meteo-Climatic Variables and Fertilizer Use on Crop Yields in the Sahel: A Nonlinear Neural-Network Analysis
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Pasini, Antonello, primary, De Felice Proia, Giuseppina, additional, and Tubiello, Francesco N., additional
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- 2022
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50. Carbon fluxes from land 2000–2020: bringing clarity to countries' reporting
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Grassi, Giacomo, primary, Conchedda, Giulia, additional, Federici, Sandro, additional, Abad Viñas, Raul, additional, Korosuo, Anu, additional, Melo, Joana, additional, Rossi, Simone, additional, Sandker, Marieke, additional, Somogyi, Zoltan, additional, Vizzarri, Matteo, additional, and Tubiello, Francesco N., additional
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- 2022
- Full Text
- View/download PDF
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