Author: "Knauer, Jürgen" - Searchworks@Jio Institute Digital Library Search Results

Your search keyword '"Knauer, Jürgen"' showing total 213 results

Start Over Author "Knauer, Jürgen"

213 results on '"Knauer, Jürgen"'

1. The key role of forest disturbance in reconciling estimates of the northern carbon sink

Author: O’Sullivan, Michael, Sitch, Stephen, Friedlingstein, Pierre, Luijkx, Ingrid T., Peters, Wouter, Rosan, Thais M., Arneth, Almut, Arora, Vivek K., Chandra, Naveen, Chevallier, Frédéric, Ciais, Philippe, Falk, Stefanie, Feng, Liang, Gasser, Thomas, Houghton, Richard A., Jain, Atul K., Kato, Etsushi, Kennedy, Daniel, Knauer, Jürgen, McGrath, Matthew J., Niwa, Yosuke, Palmer, Paul I., Patra, Prabir K., Pongratz, Julia, Poulter, Benjamin, Rödenbeck, Christian, Schwingshackl, Clemens, Sun, Qing, Tian, Hanqin, Walker, Anthony P., Yang, Dongxu, Yuan, Wenping, Yue, Xu, and Zaehle, Sönke
Published: 2024
Full Text: View/download PDF

2. Synthesis of the land carbon fluxes of the Amazon region between 2010 and 2020

Author: Rosan, Thais M., Sitch, Stephen, O’Sullivan, Michael, Basso, Luana S., Wilson, Chris, Silva, Camila, Gloor, Emanuel, Fawcett, Dominic, Heinrich, Viola, Souza, Jefferson G., Bezerra, Francisco Gilney Silva, von Randow, Celso, Mercado, Lina M., Gatti, Luciana, Wiltshire, Andy, Friedlingstein, Pierre, Pongratz, Julia, Schwingshackl, Clemens, Williams, Mathew, Smallman, Luke, Knauer, Jürgen, Arora, Vivek, Kennedy, Daniel, Tian, Hanqin, Yuan, Wenping, Jain, Atul K., Falk, Stefanie, Poulter, Benjamin, Arneth, Almut, Sun, Qing, Zaehle, Sönke, Walker, Anthony P., Kato, Etsushi, Yue, Xu, Bastos, Ana, Ciais, Philippe, Wigneron, Jean-Pierre, Albergel, Clement, and Aragão, Luiz E. O. C.
Published: 2024
Full Text: View/download PDF

3. The three major axes of terrestrial ecosystem function

Author: Migliavacca, Mirco, Musavi, Talie, Mahecha, Miguel D, Nelson, Jacob A, Knauer, Jürgen, Baldocchi, Dennis D, Perez-Priego, Oscar, Christiansen, Rune, Peters, Jonas, Anderson, Karen, Bahn, Michael, Black, T Andrew, Blanken, Peter D, Bonal, Damien, Buchmann, Nina, Caldararu, Silvia, Carrara, Arnaud, Carvalhais, Nuno, Cescatti, Alessandro, Chen, Jiquan, Cleverly, Jamie, Cremonese, Edoardo, Desai, Ankur R, El-Madany, Tarek S, Farella, Martha M, Fernández-Martínez, Marcos, Filippa, Gianluca, Forkel, Matthias, Galvagno, Marta, Gomarasca, Ulisse, Gough, Christopher M, Göckede, Mathias, Ibrom, Andreas, Ikawa, Hiroki, Janssens, Ivan A, Jung, Martin, Kattge, Jens, Keenan, Trevor F, Knohl, Alexander, Kobayashi, Hideki, Kraemer, Guido, Law, Beverly E, Liddell, Michael J, Ma, Xuanlong, Mammarella, Ivan, Martini, David, Macfarlane, Craig, Matteucci, Giorgio, Montagnani, Leonardo, Pabon-Moreno, Daniel E, Panigada, Cinzia, Papale, Dario, Pendall, Elise, Penuelas, Josep, Phillips, Richard P, Reich, Peter B, Rossini, Micol, Rotenberg, Eyal, Scott, Russell L, Stahl, Clement, Weber, Ulrich, Wohlfahrt, Georg, Wolf, Sebastian, Wright, Ian J, Yakir, Dan, Zaehle, Sönke, and Reichstein, Markus
Subjects: Life on Land, Carbon Cycle, Carbon Dioxide, Climate, Datasets as Topic, Ecosystem, Humidity, Plants, Principal Component Analysis, Water Cycle, General Science & Technology
Abstract: The leaf economics spectrum1,2 and the global spectrum of plant forms and functions3 revealed fundamental axes of variation in plant traits, which represent different ecological strategies that are shaped by the evolutionary development of plant species2. Ecosystem functions depend on environmental conditions and the traits of species that comprise the ecological communities4. However, the axes of variation of ecosystem functions are largely unknown, which limits our understanding of how ecosystems respond as a whole to anthropogenic drivers, climate and environmental variability4,5. Here we derive a set of ecosystem functions6 from a dataset of surface gas exchange measurements across major terrestrial biomes. We find that most of the variability within ecosystem functions (71.8%) is captured by three key axes. The first axis reflects maximum ecosystem productivity and is mostly explained by vegetation structure. The second axis reflects ecosystem water-use strategies and is jointly explained by variation in vegetation height and climate. The third axis, which represents ecosystem carbon-use efficiency, features a gradient related to aridity, and is explained primarily by variation in vegetation structure. We show that two state-of-the-art land surface models reproduce the first and most important axis of ecosystem functions. However, the models tend to simulate more strongly correlated functions than those observed, which limits their ability to accurately predict the full range of responses to environmental changes in carbon, water and energy cycling in terrestrial ecosystems7,8.
Published: 2021

4. Integrating the evidence for a terrestrial carbon sink caused by increasing atmospheric CO₂

Author: Walker, Anthony P., De Kauwe, Martin G., Bastos, Ana, Belmecheri, Soumaya, Georgiou, Katerina, Keeling, Ralph F., McMahon, Sean M., Medlyn, Belinda E., Moore, David J. P., Norby, Richard J., Zaehle, Sonke, Anderson-Teixeira, Kristina J., Battipaglia, Giovanna, Brienen, Roel J. W., Cabugao, Kristine G., Cailleret, Maxime, Campbell, Elliott, Canadell, Josep G., Ciais, Philippe, Craig, Matthew E., Ellsworth, David S., Farquhar, Graham D., Fatichi, Simone, Fisher, Joshua B., Frank, David C., Graven, Heather, Gu, Lianhong, Haverd, Vanessa, Heilman, Kelly, Heimann, Martin, Hungate, Bruce A., Iversen, Colleen M., Joos, Fortunat, Jiang, Mingkai, Keenan, Trevor F., Knauer, Jurgen, Korner, Christian, Leshyk, Victor O., Leuzinger, Sebastian, Liu, Yao, MacBean, Natasha, Malhi, Yadvinder, McVicar, Tim R., Penuelas, Josep, Pongratz, Julia, Powell, A. Shafer, Riutta, Terhi, Sabot, Manon E. B., Schleucher, Juergen, Sitch, Stephen, Smith, William K., Sulman, Benjamin, Taylor, Benton, Terrer, Cesar, Torn, Margaret S., Treseder, Kathleen K., Trugman, Anna T., Trumbore, Susan E., van Mantgem, Phillip J., Voelker, Steve L., Whelan, Mary E., and Zuidema, Pieter A.
Published: 2021

5. Process-oriented analysis of dominant sources of uncertainty in the land carbon sink

Author: O’Sullivan, Michael, Friedlingstein, Pierre, Sitch, Stephen, Anthoni, Peter, Arneth, Almut, Arora, Vivek K., Bastrikov, Vladislav, Delire, Christine, Goll, Daniel S., Jain, Atul, Kato, Etsushi, Kennedy, Daniel, Knauer, Jürgen, Lienert, Sebastian, Lombardozzi, Danica, McGuire, Patrick C., Melton, Joe R., Nabel, Julia E. M. S., Pongratz, Julia, Poulter, Benjamin, Séférian, Roland, Tian, Hanqin, Vuichard, Nicolas, Walker, Anthony P., Yuan, Wenping, Yue, Xu, and Zaehle, Sönke
Published: 2022
Full Text: View/download PDF

6. Large potential of strengthening the land carbon sink in China through anthropogenic interventions

Author: Yue, Xu, primary, Zhou, Hao, additional, Cao, Yang, additional, Liao, Hong, additional, Lu, Xiaofei, additional, Yu, Zhen, additional, Yuan, Wenping, additional, Liu, Zhu, additional, Lei, Yadong, additional, Sitch, Stephen, additional, Knauer, Jürgen, additional, and Wang, Huijun, additional
Published: 2024
Full Text: View/download PDF

7. Carbon-phosphorus cycle models overestimate CO 2 enrichment response in a mature Eucalyptus forest

Author: Jiang, Mingkai, Medlyn, Belinda E., Wårlind, David, Knauer, Jürgen, Fleischer, Katrin, Goll, Daniel S., Olin, Stefan, Yang, Xiaojuan, Yu, Lin, Zaehle, Sönke, Zhang, Haicheng, Lv, He, Crous, Kristine Y., Carrillo, Yolima, Macdonald, Catriona, Anderson, Ian, Boer, Matthias M., Farrell, Mark, Gherlenda, Andrew, Castañeda-Gómez, Laura, Hasegawa, Shun, Jarosch, Klaus, Milham, Paul, Ochoa-Hueso, Raúl, Pathare, Varsha, Pihlblad, Johanna, Nevado, Juan Piñeiro, Powell, Jeff, Power, Sally A., Reich, Peter, Riegler, Markus, Ellsworth, David S., Smith, Benjamin, Jiang, Mingkai, Medlyn, Belinda E., Wårlind, David, Knauer, Jürgen, Fleischer, Katrin, Goll, Daniel S., Olin, Stefan, Yang, Xiaojuan, Yu, Lin, Zaehle, Sönke, Zhang, Haicheng, Lv, He, Crous, Kristine Y., Carrillo, Yolima, Macdonald, Catriona, Anderson, Ian, Boer, Matthias M., Farrell, Mark, Gherlenda, Andrew, Castañeda-Gómez, Laura, Hasegawa, Shun, Jarosch, Klaus, Milham, Paul, Ochoa-Hueso, Raúl, Pathare, Varsha, Pihlblad, Johanna, Nevado, Juan Piñeiro, Powell, Jeff, Power, Sally A., Reich, Peter, Riegler, Markus, Ellsworth, David S., and Smith, Benjamin
Abstract: The importance of phosphorus (P) in regulating ecosystem responses to climate change has fostered P-cycle implementation in land surface models, but their CO2 effects predictions have not been evaluated against measurements. Here, we perform a data-driven model evaluation where simulations of eight widely used P-enabled models were confronted with observations from a long-term free-air CO2 enrichment experiment in a mature, P-limited Eucalyptus forest. We show that most models predicted the correct sign and magnitude of the CO2 effect on ecosystem carbon (C) sequestration, but they generally overestimated the effects on plant C uptake and growth. We identify leaf-to-canopy scaling of photosynthesis, plant tissue stoichiometry, plant belowground C allocation, and the subsequent consequences for plant-microbial interaction as key areas in which models of ecosystem C-P interaction can be improved. Together, this data-model intercomparison reveals data-driven insights into the performance and functionality of P-enabled models and adds to the existing evidence that the global CO2-driven carbon sink is overestimated by models.
Published: 2024

8. Trends and Drivers of Terrestrial Sources and Sinks of Carbon Dioxide: An Overview of the TRENDY Project

Author: Sitch, Stephen, O’Sullivan, Michael, Robertson, Eddy, Friedlingstein, Pierre, Albergel, Clément, Anthoni, Peter, Arneth, Almut, Arora, Vivek K., Bastos, Ana, Bastrikov, Vladislav, Bellouin, Nicolas, Canadell, Josep G., Chini, Louise, Ciais, Philippe, Falk, Stefanie, Harris, Ian, Hurtt, George, Ito, Akihiko, Jain, Atul K., Jones, Matthew W., Joos, Fortunat, Kato, Etsushi, Kennedy, Daniel, Klein Goldewijk, Kees, Kluzek, Erik, Knauer, Jürgen, Lawrence, Peter J., Lombardozzi, Danica, Melton, Joe R., Nabel, Julia E.M.S., Pan, Naiqing, Peylin, Philippe, Pongratz, Julia, Poulter, Benjamin, Rosan, Thais M., Sun, Qing, Tian, Hanqin, Walker, Anthony P., Weber, Ulrich, Yuan, Wenping, Yue, Xu, Zaehle, Sönke, Sitch, Stephen, O’Sullivan, Michael, Robertson, Eddy, Friedlingstein, Pierre, Albergel, Clément, Anthoni, Peter, Arneth, Almut, Arora, Vivek K., Bastos, Ana, Bastrikov, Vladislav, Bellouin, Nicolas, Canadell, Josep G., Chini, Louise, Ciais, Philippe, Falk, Stefanie, Harris, Ian, Hurtt, George, Ito, Akihiko, Jain, Atul K., Jones, Matthew W., Joos, Fortunat, Kato, Etsushi, Kennedy, Daniel, Klein Goldewijk, Kees, Kluzek, Erik, Knauer, Jürgen, Lawrence, Peter J., Lombardozzi, Danica, Melton, Joe R., Nabel, Julia E.M.S., Pan, Naiqing, Peylin, Philippe, Pongratz, Julia, Poulter, Benjamin, Rosan, Thais M., Sun, Qing, Tian, Hanqin, Walker, Anthony P., Weber, Ulrich, Yuan, Wenping, Yue, Xu, and Zaehle, Sönke
Abstract: The terrestrial biosphere plays a major role in the global carbon cycle, and there is a recognized need for regularly updated estimates of land-atmosphere exchange at regional and global scales. An international ensemble of Dynamic Global Vegetation Models (DGVMs), known as the “Trends and drivers of the regional scale terrestrial sources and sinks of carbon dioxide” (TRENDY) project, quantifies land biophysical exchange processes and biogeochemistry cycles in support of the annual Global Carbon Budget assessments and the REgional Carbon Cycle Assessment and Processes, phase 2 project. DGVMs use a common protocol and set of driving data sets. A set of factorial simulations allows attribution of spatio-temporal changes in land surface processes to three primary global change drivers: changes in atmospheric CO2, climate change and variability, and Land Use and Land Cover Changes (LULCC). Here, we describe the TRENDY project, benchmark DGVM performance using remote-sensing and other observational data, and present results for the contemporary period. Simulation results show a large global carbon sink in natural vegetation over 2012–2021, attributed to the CO2 fertilization effect (3.8 ± 0.8 PgC/yr) and climate (−0.58 ± 0.54 PgC/yr). Forests and semi-arid ecosystems contribute approximately equally to the mean and trend in the natural land sink, and semi-arid ecosystems continue to dominate interannual variability. The natural sink is offset by net emissions from LULCC (−1.6 ± 0.5 PgC/yr), with a net land sink of 1.7 ± 0.6 PgC/yr. Despite the largest gross fluxes being in the tropics, the largest net land-atmosphere exchange is simulated in the extratropical regions.
Published: 2024

9. Supplementary material to "On the predictability of turbulent fluxes from land: PLUMBER2 MIP experimental description and preliminary results"

Author: Abramowitz, Gab, primary, Ukkola, Anna, additional, Hobeichi, Sanaa, additional, Cranko Page, Jon, additional, Lipson, Mathew, additional, De Kauwe, Martin, additional, Green, Sam, additional, Brenner, Claire, additional, Frame, Jonathan, additional, Nearing, Grey, additional, Clark, Martyn, additional, Best, Martin, additional, Anthoni, Peter, additional, Arduini, Gabriele, additional, Boussetta, Souhail, additional, Caldararu, Silvia, additional, Cho, Kyeungwoo, additional, Cuntz, Matthias, additional, Fairbairn, David, additional, Ferguson, Craig, additional, Kim, Hyungjun, additional, Kim, Yeonjoo, additional, Knauer, Jürgen, additional, Lawrence, David, additional, Luo, Xiangzhong, additional, Malyshev, Sergey, additional, Nitta, Tomoko, additional, Ogee, Jerome, additional, Oleson, Keith, additional, Ottlé, Catherine, additional, Peylin, Phillipe, additional, de Rosnay, Patricia, additional, Rumbold, Heather, additional, Su, Bob, additional, Vuichard, Nicolas, additional, Walker, Anthony, additional, Wang-Faivre, Xiaoni, additional, Wang, Yunfei, additional, and Zeng, Yijian, additional
Published: 2024
Full Text: View/download PDF

10. On the predictability of turbulent fluxes from land: PLUMBER2 MIP experimental description and preliminary results

Author: Abramowitz, Gab, primary, Ukkola, Anna, additional, Hobeichi, Sanaa, additional, Cranko Page, Jon, additional, Lipson, Mathew, additional, De Kauwe, Martin, additional, Green, Sam, additional, Brenner, Claire, additional, Frame, Jonathan, additional, Nearing, Grey, additional, Clark, Martyn, additional, Best, Martin, additional, Anthoni, Peter, additional, Arduini, Gabriele, additional, Boussetta, Souhail, additional, Caldararu, Silvia, additional, Cho, Kyeungwoo, additional, Cuntz, Matthias, additional, Fairbairn, David, additional, Ferguson, Craig, additional, Kim, Hyungjun, additional, Kim, Yeonjoo, additional, Knauer, Jürgen, additional, Lawrence, David, additional, Luo, Xiangzhong, additional, Malyshev, Sergey, additional, Nitta, Tomoko, additional, Ogee, Jerome, additional, Oleson, Keith, additional, Ottlé, Catherine, additional, Peylin, Phillipe, additional, de Rosnay, Patricia, additional, Rumbold, Heather, additional, Su, Bob, additional, Vuichard, Nicolas, additional, Walker, Anthony, additional, Wang-Faivre, Xiaoni, additional, Wang, Yunfei, additional, and Zeng, Yijian, additional
Published: 2024
Full Text: View/download PDF

11. Multi-decadal increase of forest burned area in Australia is linked to climate change

Author: Canadell, Josep G., Meyer, C. P. (Mick), Cook, Garry D., Dowdy, Andrew, Briggs, Peter R., Knauer, Jürgen, Pepler, Acacia, and Haverd, Vanessa
Published: 2021
Full Text: View/download PDF

12. Global Carbon Budget 2023

Author: Friedlingstein, Pierre, primary, O'Sullivan, Michael, additional, Jones, Matthew W., additional, Andrew, Robbie M., additional, Bakker, Dorothee C. E., additional, Hauck, Judith, additional, Landschützer, Peter, additional, Le Quéré, Corinne, additional, Luijkx, Ingrid T., additional, Peters, Glen P., additional, Peters, Wouter, additional, Pongratz, Julia, additional, Schwingshackl, Clemens, additional, Sitch, Stephen, additional, Canadell, Josep G., additional, Ciais, Philippe, additional, Jackson, Robert B., additional, Alin, Simone R., additional, Anthoni, Peter, additional, Barbero, Leticia, additional, Bates, Nicholas R., additional, Becker, Meike, additional, Bellouin, Nicolas, additional, Decharme, Bertrand, additional, Bopp, Laurent, additional, Brasika, Ida Bagus Mandhara, additional, Cadule, Patricia, additional, Chamberlain, Matthew A., additional, Chandra, Naveen, additional, Chau, Thi-Tuyet-Trang, additional, Chevallier, Frédéric, additional, Chini, Louise P., additional, Cronin, Margot, additional, Dou, Xinyu, additional, Enyo, Kazutaka, additional, Evans, Wiley, additional, Falk, Stefanie, additional, Feely, Richard A., additional, Feng, Liang, additional, Ford, Daniel J., additional, Gasser, Thomas, additional, Ghattas, Josefine, additional, Gkritzalis, Thanos, additional, Grassi, Giacomo, additional, Gregor, Luke, additional, Gruber, Nicolas, additional, Gürses, Özgür, additional, Harris, Ian, additional, Hefner, Matthew, additional, Heinke, Jens, additional, Houghton, Richard A., additional, Hurtt, George C., additional, Iida, Yosuke, additional, Ilyina, Tatiana, additional, Jacobson, Andrew R., additional, Jain, Atul, additional, Jarníková, Tereza, additional, Jersild, Annika, additional, Jiang, Fei, additional, Jin, Zhe, additional, Joos, Fortunat, additional, Kato, Etsushi, additional, Keeling, Ralph F., additional, Kennedy, Daniel, additional, Klein Goldewijk, Kees, additional, Knauer, Jürgen, additional, Korsbakken, Jan Ivar, additional, Körtzinger, Arne, additional, Lan, Xin, additional, Lefèvre, Nathalie, additional, Li, Hongmei, additional, Liu, Junjie, additional, Liu, Zhiqiang, additional, Ma, Lei, additional, Marland, Greg, additional, Mayot, Nicolas, additional, McGuire, Patrick C., additional, McKinley, Galen A., additional, Meyer, Gesa, additional, Morgan, Eric J., additional, Munro, David R., additional, Nakaoka, Shin-Ichiro, additional, Niwa, Yosuke, additional, O'Brien, Kevin M., additional, Olsen, Are, additional, Omar, Abdirahman M., additional, Ono, Tsuneo, additional, Paulsen, Melf, additional, Pierrot, Denis, additional, Pocock, Katie, additional, Poulter, Benjamin, additional, Powis, Carter M., additional, Rehder, Gregor, additional, Resplandy, Laure, additional, Robertson, Eddy, additional, Rödenbeck, Christian, additional, Rosan, Thais M., additional, Schwinger, Jörg, additional, Séférian, Roland, additional, Smallman, T. Luke, additional, Smith, Stephen M., additional, Sospedra-Alfonso, Reinel, additional, Sun, Qing, additional, Sutton, Adrienne J., additional, Sweeney, Colm, additional, Takao, Shintaro, additional, Tans, Pieter P., additional, Tian, Hanqin, additional, Tilbrook, Bronte, additional, Tsujino, Hiroyuki, additional, Tubiello, Francesco, additional, van der Werf, Guido R., additional, van Ooijen, Erik, additional, Wanninkhof, Rik, additional, Watanabe, Michio, additional, Wimart-Rousseau, Cathy, additional, Yang, Dongxu, additional, Yang, Xiaojuan, additional, Yuan, Wenping, additional, Yue, Xu, additional, Zaehle, Sönke, additional, Zeng, Jiye, additional, and Zheng, Bo, additional
Published: 2023
Full Text: View/download PDF

13. Higher global gross primary productivity under future climate with more advanced representations of photosynthesis

Author: Knauer, Jürgen, primary, Cuntz, Matthias, additional, Smith, Benjamin, additional, Canadell, Josep G., additional, Medlyn, Belinda E., additional, Bennett, Alison C., additional, Caldararu, Silvia, additional, and Haverd, Vanessa, additional
Published: 2023
Full Text: View/download PDF

14. Variable influence of photosynthetic thermal acclimation on future carbon uptake in Australian wooded ecosystems under climate change

Author: Bennett, Alison C., primary, Knauer, Jürgen, additional, Bennett, Lauren T., additional, Haverd, Vanessa, additional, and Arndt, Stefan K., additional
Published: 2023
Full Text: View/download PDF

15. Supplementary material to "Global Carbon Budget 2023"

Author: Friedlingstein, Pierre, primary, O'Sullivan, Michael, additional, Jones, Matthew W., additional, Andrew, Robbie M., additional, Bakker, Dorothee C. E., additional, Hauck, Judith, additional, Landschützer, Peter, additional, Le Quéré, Corinne, additional, Luijkx, Ingrid T., additional, Peters, Glen P., additional, Peters, Wouter, additional, Pongratz, Julia, additional, Schwingshackl, Clemens, additional, Sitch, Stephen, additional, Canadell, Josep G., additional, Ciais, Philippe, additional, Jackson, Robert B., additional, Alin, Simone R., additional, Anthoni, Peter, additional, Barbero, Leticia, additional, Bates, Nicholas R., additional, Becker, Meike, additional, Bellouin, Nicolas, additional, Decharme, Bertrand, additional, Bopp, Laurent, additional, Brasika, Ida Bagus Mandhara, additional, Cadule, Patricia, additional, Chamberlain, Matthew A., additional, Chandra, Naveen, additional, Chau, Thi-Tuyet-Trang, additional, Chevallier, Frédéric, additional, Chini, Louise P., additional, Cronin, Margot, additional, Dou, Xinyu, additional, Enyo, Kazutaka, additional, Evans, Wiley, additional, Falk, Stefanie, additional, Feely, Richard A., additional, Feng, Liang, additional, Ford, Daniel. J., additional, Gasser, Thomas, additional, Ghattas, Josefine, additional, Gkritzalis, Thanos, additional, Grassi, Giacomo, additional, Gregor, Luke, additional, Gruber, Nicolas, additional, Gürses, Özgür, additional, Harris, Ian, additional, Hefner, Matthew, additional, Heinke, Jens, additional, Houghton, Richard A., additional, Hurtt, George C., additional, Iida, Yosuke, additional, Ilyina, Tatiana, additional, Jacobson, Andrew R., additional, Jain, Atul, additional, Jarníková, Tereza, additional, Jersild, Annika, additional, Jiang, Fei, additional, Jin, Zhe, additional, Joos, Fortunat, additional, Kato, Etsushi, additional, Keeling, Ralph F., additional, Kennedy, Daniel, additional, Klein Goldewijk, Kees, additional, Knauer, Jürgen, additional, Korsbakken, Jan Ivar, additional, Körtzinger, Arne, additional, Lan, Xin, additional, Lefèvre, Nathalie, additional, Li, Hongmei, additional, Liu, Junjie, additional, Liu, Zhiqiang, additional, Ma, Lei, additional, Marland, Greg, additional, Mayot, Nicolas, additional, McGuire, Patrick C., additional, McKinley, Galen A., additional, Meyer, Gesa, additional, Morgan, Eric J., additional, Munro, David R., additional, Nakaoka, Shin-Ichiro, additional, Niwa, Yosuke, additional, O'Brien, Kevin M., additional, Olsen, Are, additional, Omar, Abdirahman M., additional, Ono, Tsuneo, additional, Paulsen, Melf E., additional, Pierrot, Denis, additional, Pocock, Katie, additional, Poulter, Benjamin, additional, Powis, Carter M., additional, Rehder, Gregor, additional, Resplandy, Laure, additional, Robertson, Eddy, additional, Rödenbeck, Christian, additional, Rosan, Thais M., additional, Schwinger, Jörg, additional, Séférian, Roland, additional, Smallman, T. Luke, additional, Smith, Stephen M., additional, Sospedra-Alfonso, Reinel, additional, Sun, Qing, additional, Sutton, Adrienne J., additional, Sweeney, Colm, additional, Takao, Shintaro, additional, Tans, Pieter P., additional, Tian, Hanqin, additional, Tilbrook, Bronte, additional, Tsujino, Hiroyuki, additional, Tubiello, Francesco, additional, van der Werf, Guido R., additional, van Ooijen, Erik, additional, Wanninkhof, Rik, additional, Watanabe, Michio, additional, Wimart-Rousseau, Cathy, additional, Yang, Dongxu, additional, Yang, Xiaojuan, additional, Yuan, Wenping, additional, Yue, Xu, additional, Zaehle, Sönke, additional, Zeng, Jiye, additional, and Zheng, Bo, additional
Published: 2023
Full Text: View/download PDF

16. The consolidated European synthesis of CO2 emissions and removals for the European Union and United Kingdom: 1990–2020

Author: 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
Published: 2023
Full Text: View/download PDF

17. Temporal Dynamics of Canopy Properties and Carbon and Water Fluxes in a Temperate Evergreen Angiosperm Forest.

Author: Renchon, Alexandre A., Haverd, Vanessa, Trudinger, Cathy M., Medlyn, Belinda E., Griebel, Anne, Metzen, Daniel, Knauer, Jürgen, Boer, Matthias M., and Pendall, Elise
Subjects: EUCALYPTUS, FOREST dynamics, LEAF area index, SPRING, AUTUMN, EVERGREENS, LEAF growth
Abstract: The forest–atmosphere exchange of carbon and water is regulated by meteorological conditions as well as canopy properties such as leaf area index (LAI, m2 m−2), photosynthetic capacity (PC μmol m−2 s−1), or surface conductance in optimal conditions (Gs,opt, mmol m−2 s−1), which can vary seasonally and inter-annually. This variability is well understood for deciduous species but is poorly characterized in evergreen forests. Here, we quantify the seasonal dynamics of a temperate evergreen eucalypt forest with estimates of LAI, litterfall, carbon and water fluxes, and meteorological conditions from measurements and model simulations. We merged MODIS Enhanced Vegetation Index (EVI) values with site-based LAI measurements to establish a 17-year sequence of monthly LAI. We ran the Community Atmosphere Biosphere Land Exchange model (CABLE-POP (version r5046)) with constant and varying LAI for our site to quantify the influence of seasonal canopy dynamics on carbon and water fluxes. We observed that the peak of LAI occurred in late summer–early autumn, with a higher and earlier peak occurring in years when summer rainfall was greater. Seasonality in litterfall and allocation of net primary productivity (FNPP) to leaf growth (af, 0–1) drove this pattern, suggesting a complete renewal of the canopy before the timing of peak LAI. Litterfall peaked in spring, followed by a high af in summer, at the end of which LAI peaked, and PC and Gs,opt reached their maximum values in autumn, resulting from a combination of high LAI and efficient mature leaves. These canopy dynamics helped explain observations of maximum gross ecosystem production (FGEP) in spring and autumn and net ecosystem carbon loss in summer at our site. Inter-annual variability in LAI was positively correlated with Net Ecosystem Production (FNEP). It would be valuable to apply a similar approach to other temperate evergreen forests to identify broad patterns of seasonality in leaf growth and turnover. Because incorporating dynamic LAI was insufficient to fully capture the dynamics of FGEP, observations of seasonal variation in photosynthetic capacity, such as from solar-induced fluorescence, should be incorporated in land surface models to improve ecosystem flux estimates in evergreen forests. [ABSTRACT FROM AUTHOR]
Published: 2024
Full Text: View/download PDF

18. Predicting sub‐continental fuel hazard under future climate and rising atmospheric CO2 concentration

Author: Yang, Jinyan, primary, Teckentrup, Lina, additional, Inbar, Assaf, additional, Knauer, Jürgen, additional, Jiang, Mingkai, additional, Medlyn, Belinda, additional, Price, Owen, additional, Bradstock, Ross, additional, and Boer, Matthias M., additional
Published: 2023
Full Text: View/download PDF

19. Evaluating nitrogen cycling in terrestrial biosphere models: a disconnect between the carbon and nitrogen cycles

Author: Kou-Giesbrecht, Sian, primary, Arora, Vivek K., additional, Seiler, Christian, additional, Arneth, Almut, additional, Falk, Stefanie, additional, Jain, Atul K., additional, Joos, Fortunat, additional, Kennedy, Daniel, additional, Knauer, Jürgen, additional, Sitch, Stephen, additional, O'Sullivan, Michael, additional, Pan, Naiqing, additional, Sun, Qing, additional, Tian, Hanqin, additional, Vuichard, Nicolas, additional, and Zaehle, Sönke, additional
Published: 2023
Full Text: View/download PDF

20. Global Carbon Budget 2023

Author: Friedlingstein, Pierre, O’Sullivan, Michael, Jones, Matthew W., Andrew, Robbie M., Bakker, Dorothee C.E., Hauck, Judith, Landschützer, Peter, Le Quéré, Corinne, Luijkx, Ingrid T., Peters, Glen P., Peters, Wouter, Pongratz, Julia, Schwingshackl, Clemens, Sitch, Stephen, Canadell, Josep G., Ciais, Philippe, Jackson, Robert B., Alin, Simone R., Anthoni, Peter, Barbero, Leticia, Bates, Nicholas R., Becker, Meike, Bellouin, Nicolas, Decharme, Bertrand, Bopp, Laurent, Brasika, Ida Bagus Mandhara, Cadule, Patricia, Chamberlain, Matthew A., Chandra, Naveen, Chau, Thi Tuyet Trang, Chevallier, Frédéric, Chini, Louise P., Cronin, Margot, Dou, Xinyu, Enyo, Kazutaka, Evans, Wiley, Falk, Stefanie, Feely, Richard A., Feng, Liang, Ford, Daniel J., Gasser, Thomas, Ghattas, Josefine, Gkritzalis, Thanos, Grassi, Giacomo, Gregor, Luke, Gruber, Nicolas, Gürses, Özgür, Harris, Ian, Hefner, Matthew, Heinke, Jens, Houghton, Richard A., Hurtt, George C., Iida, Yosuke, Ilyina, Tatiana, Jacobson, Andrew R., Jain, Atul, Jarníková, Tereza, Jersild, Annika, Jiang, Fei, Jin, Zhe, Joos, Fortunat, Kato, Etsushi, Keeling, Ralph F., Kennedy, Daniel, Goldewijk, Kees Klein, Knauer, Jürgen, Korsbakken, Jan Ivar, Körtzinger, Arne, Lan, Xin, Lefèvre, Nathalie, Li, Hongmei, Liu, Junjie, Liu, Zhiqiang, Ma, Lei, Marland, Greg, Mayot, Nicolas, McGuire, Patrick C., McKinley, Galen A., Meyer, Gesa, Morgan, Eric J., Munro, David R., Nakaoka, Shin Ichiro, Niwa, Yosuke, O’Brien, Kevin M., Olsen, Are, Omar, Abdirahman M., Ono, Tsuneo, Paulsen, Melf, Pierrot, Denis, Pocock, Katie, Poulter, Benjamin, Powis, Carter M., Rehder, Gregor, Resplandy, Laure, Robertson, Eddy, Rödenbeck, Christian, Rosan, Thais M., Schwinger, Jörg, Séférian, Roland, Smallman, Luke, Smith, Stephen M., Sospedra-Alfonso, Reinel, Sun, Qing, Sutton, Adrienne J., Sweeney, Colm, Takao, Shintaro, Tans, Pieter P., Tian, Hanqin, Tilbrook, Bronte, Tsujino, Hiroyuki, Tubiello, Francesco, van der Werf, Guido R., van Ooijen, Erik, Wanninkhof, Rik, Watanabe, Michio, Wimart-Rousseau, Cathy, Yang, Dongxu, Yang, Xiaojuan, Yuan, Wenping, Yue, Xu, Zaehle, Sönke, Zeng, Jiye, Zheng, Bo, Friedlingstein, Pierre, O’Sullivan, Michael, Jones, Matthew W., Andrew, Robbie M., Bakker, Dorothee C.E., Hauck, Judith, Landschützer, Peter, Le Quéré, Corinne, Luijkx, Ingrid T., Peters, Glen P., Peters, Wouter, Pongratz, Julia, Schwingshackl, Clemens, Sitch, Stephen, Canadell, Josep G., Ciais, Philippe, Jackson, Robert B., Alin, Simone R., Anthoni, Peter, Barbero, Leticia, Bates, Nicholas R., Becker, Meike, Bellouin, Nicolas, Decharme, Bertrand, Bopp, Laurent, Brasika, Ida Bagus Mandhara, Cadule, Patricia, Chamberlain, Matthew A., Chandra, Naveen, Chau, Thi Tuyet Trang, Chevallier, Frédéric, Chini, Louise P., Cronin, Margot, Dou, Xinyu, Enyo, Kazutaka, Evans, Wiley, Falk, Stefanie, Feely, Richard A., Feng, Liang, Ford, Daniel J., Gasser, Thomas, Ghattas, Josefine, Gkritzalis, Thanos, Grassi, Giacomo, Gregor, Luke, Gruber, Nicolas, Gürses, Özgür, Harris, Ian, Hefner, Matthew, Heinke, Jens, Houghton, Richard A., Hurtt, George C., Iida, Yosuke, Ilyina, Tatiana, Jacobson, Andrew R., Jain, Atul, Jarníková, Tereza, Jersild, Annika, Jiang, Fei, Jin, Zhe, Joos, Fortunat, Kato, Etsushi, Keeling, Ralph F., Kennedy, Daniel, Goldewijk, Kees Klein, Knauer, Jürgen, Korsbakken, Jan Ivar, Körtzinger, Arne, Lan, Xin, Lefèvre, Nathalie, Li, Hongmei, Liu, Junjie, Liu, Zhiqiang, Ma, Lei, Marland, Greg, Mayot, Nicolas, McGuire, Patrick C., McKinley, Galen A., Meyer, Gesa, Morgan, Eric J., Munro, David R., Nakaoka, Shin Ichiro, Niwa, Yosuke, O’Brien, Kevin M., Olsen, Are, Omar, Abdirahman M., Ono, Tsuneo, Paulsen, Melf, Pierrot, Denis, Pocock, Katie, Poulter, Benjamin, Powis, Carter M., Rehder, Gregor, Resplandy, Laure, Robertson, Eddy, Rödenbeck, Christian, Rosan, Thais M., Schwinger, Jörg, Séférian, Roland, Smallman, Luke, Smith, Stephen M., Sospedra-Alfonso, Reinel, Sun, Qing, Sutton, Adrienne J., Sweeney, Colm, Takao, Shintaro, Tans, Pieter P., Tian, Hanqin, Tilbrook, Bronte, Tsujino, Hiroyuki, Tubiello, Francesco, van der Werf, Guido R., van Ooijen, Erik, Wanninkhof, Rik, Watanabe, Michio, Wimart-Rousseau, Cathy, Yang, Dongxu, Yang, Xiaojuan, Yuan, Wenping, Yue, Xu, Zaehle, Sönke, Zeng, Jiye, and Zheng, Bo
Published: 2023

21. National contributions to climate change due to historical emissions of carbon dioxide, methane and nitrous oxide

Author: Friedlingstein, Pierre, O'Sullivan, Michael, Jones, Matthew W., Andrew, Robbie M., Gregor, Luke, Hauck, Judith, Le Quéré, Corinne, Luijkx, Ingrid T., Olsen, Are, Peters, Glen P., Peters, Wouter, Pongratz, Julia, Schwingshackl, Clemens, Sitch, Stephen, Canadell, Josep G., Ciais, Philippe, Jackson, Robert B., Alin, Simone R., Alkama, Ramdane, Arneth, Almut, Arora, Vivek K., Bates, Nicholas R., Becker, Meike, Bellouin, Nicolas, Bittig, Henry C., Bopp, Laurent, Chevallier, Frédéric, Chini, Louise P., Cronin, Margot, Evans, Wiley, Falk, Stefanie, Feely, Richard A., Gasser, Thomas, Gehlen, Marion, Gkritzalis, Thanos, Gloege, Lucas, Grassi, Giacomo, Gruber, Nicolas, Gürses, Özgür, Harris, Ian, Hefner, Matthew, Houghton, Richard A., Hurtt, George C., Iida, Yosuke, Ilyina, Tatiana, Jain, Atul K., Jersild, Annika, Kadono, Koji, Kato, Etsushi, Kennedy, Daniel, Klein Goldewijk, Kees, Knauer, Jürgen, Korsbakken, Jan Ivar, Landschützer, Peter, Lefèvre, Nathalie, Lindsay, Keith, Liu, Junjie, Liu, Zhu, Marland, Gregg, Mayot, Nicolas, Mcgrath, Matthew J., Metzl, Nicolas, Monacci, Natalie M., Munro, David R., Nakaoka, Shin-Ichiro, Niwa, Yosuke, O'brien, Kevin, Ono, Tsuneo, Palmer, Paul I., Pan, Naiqing, Pierrot, Denis, Pocock, Katie, Poulter, Benjamin, Resplandy, Laure, Robertson, Eddy, Rödenbeck, Christian, Rodriguez, Carmen, Rosan, Thais M., Schwinger, Jörg, Séférian, Roland, Shutler, Jamie D., Skjelvan, Ingunn, Steinhoff, Tobias, Sun, Qing, Sutton, Adrienne J., Sweeney, Colm, Takao, Shintaro, Tanhua, Toste, Tans, Pieter P., Tian, Xiangjun, Tian, Hanqin, Tilbrook, Bronte, Tsujino, Hiroyuki, Tubiello, Francesco, Van Der Werf, Guido R., Walker, Anthony P., Wanninkhof, Rik, Whitehead, Chris, Willstrand Wranne, Anna, Wright, Rebecca, Yuan, Wenping, Yue, Chao, Yue, Xu, Zaehle, Sönke, Zeng, Jiye, Zheng, Bo, Friedlingstein, Pierre, O'Sullivan, Michael, Jones, Matthew W., Andrew, Robbie M., Gregor, Luke, Hauck, Judith, Le Quéré, Corinne, Luijkx, Ingrid T., Olsen, Are, Peters, Glen P., Peters, Wouter, Pongratz, Julia, Schwingshackl, Clemens, Sitch, Stephen, Canadell, Josep G., Ciais, Philippe, Jackson, Robert B., Alin, Simone R., Alkama, Ramdane, Arneth, Almut, Arora, Vivek K., Bates, Nicholas R., Becker, Meike, Bellouin, Nicolas, Bittig, Henry C., Bopp, Laurent, Chevallier, Frédéric, Chini, Louise P., Cronin, Margot, Evans, Wiley, Falk, Stefanie, Feely, Richard A., Gasser, Thomas, Gehlen, Marion, Gkritzalis, Thanos, Gloege, Lucas, Grassi, Giacomo, Gruber, Nicolas, Gürses, Özgür, Harris, Ian, Hefner, Matthew, Houghton, Richard A., Hurtt, George C., Iida, Yosuke, Ilyina, Tatiana, Jain, Atul K., Jersild, Annika, Kadono, Koji, Kato, Etsushi, Kennedy, Daniel, Klein Goldewijk, Kees, Knauer, Jürgen, Korsbakken, Jan Ivar, Landschützer, Peter, Lefèvre, Nathalie, Lindsay, Keith, Liu, Junjie, Liu, Zhu, Marland, Gregg, Mayot, Nicolas, Mcgrath, Matthew J., Metzl, Nicolas, Monacci, Natalie M., Munro, David R., Nakaoka, Shin-Ichiro, Niwa, Yosuke, O'brien, Kevin, Ono, Tsuneo, Palmer, Paul I., Pan, Naiqing, Pierrot, Denis, Pocock, Katie, Poulter, Benjamin, Resplandy, Laure, Robertson, Eddy, Rödenbeck, Christian, Rodriguez, Carmen, Rosan, Thais M., Schwinger, Jörg, Séférian, Roland, Shutler, Jamie D., Skjelvan, Ingunn, Steinhoff, Tobias, Sun, Qing, Sutton, Adrienne J., Sweeney, Colm, Takao, Shintaro, Tanhua, Toste, Tans, Pieter P., Tian, Xiangjun, Tian, Hanqin, Tilbrook, Bronte, Tsujino, Hiroyuki, Tubiello, Francesco, Van Der Werf, Guido R., Walker, Anthony P., Wanninkhof, Rik, Whitehead, Chris, Willstrand Wranne, Anna, Wright, Rebecca, Yuan, Wenping, Yue, Chao, Yue, Xu, Zaehle, Sönke, Zeng, Jiye, and Zheng, Bo
Abstract: A complete description of the dataset is given by Jones et al. (2023). Key information is provided below. A dataset describing the global warming response to national emissions CO2, CH4 and N2O from fossil and land use sources during 1851-2021. National CO2 emissions data are collated from the Global Carbon Project (Andrew and Peters, 2022; Friedlingstein et al., 2022). National CH4 and N2O emissions data are collated from PRIMAP-hist (HISTTP) (Gütschow et al., 2022). We construct a time series of cumulative CO2-equivalent emissions for each country, gas, and emissions source (fossil or land use). Emissions of CH4 and N2O emissions are related to cumulative CO2-equivalent emissions using the Global Warming Potential (GWP*) approach, with best-estimates of the coefficients taken from the IPCC AR6 (Forster et al., 2021). Warming in response to cumulative CO2-equivalent emissions is estimated using the transient climate response to cumulative carbon emissions (TCRE) approach, with best-estimate value of TCRE taken from the IPCC AR6 (Forster et al., 2021, Canadell et al., 2021). 'Warming' is specifically the change in global mean surface temperature (GMST). The data files provide emissions, cumulative emissions and the GMST response by country, gas (CO2, CH4, N2O or 3-GHG total) and source (fossil emissions, land use emissions or the total)., A complete description of the dataset is given by Jones et al. (2023). Key information is provided below. Background A dataset describing the global warming response to national emissions CO2, CH4 and N2O from fossil and land use sources during 1851-2021. National CO2 emissions data are collated from the Global Carbon Project (Andrew and Peters, 2022; Friedlingstein et al., 2022). National CH4 and N2O emissions data are collated from PRIMAP-hist (HISTTP) (Gütschow et al., 2022). We construct a time series of cumulative CO2-equivalent emissions for each country, gas, and emissions source (fossil or land use). Emissions of CH4 and N2O emissions are related to cumulative CO2-equivalent emissions using the Global Warming Potential (GWP*) approach, with best-estimates of the coefficients taken from the IPCC AR6 (Forster et al., 2021). Warming in response to cumulative CO2-equivalent emissions is estimated using the transient climate response to cumulative carbon emissions (TCRE) approach, with best-estimate value of TCRE taken from the IPCC AR6 (Forster et al., 2021, Canadell et al., 2021). 'Warming' is specifically the change in global mean surface temperature (GMST). The data files provide emissions, cumulative emissions and the GMST response by country, gas (CO2, CH4, N2O or 3-GHG total) and source (fossil emissions, land use emissions or the total). Data records: overview The data records include three comma separated values (.csv) files as described below. All files are in ‘long’ format with one value provided in the Data column for each combination of the categorical variables Year, Country Name, Country ISO3 code, Gas, and Component columns. Component specifies fossil emissions, LULUCF emissions or total emissions of the gas. Gas specifies CO2, CH4, N
Published: 2023

22. The consolidated European synthesis of CO2 emissions and removals for the European Union and United Kingdom: 1990-2020

Author: McGrath, Matthew J., Petrescu, Ana Maria Roxana, Peylin, Philippe, Andrew, Robbie M., Matthews, Bradley, Dentener, Frank, Balkovič, Juraj, Bastrikov, Vladislav, Becker, Meike, Broquet, Gregoire, Ciais, Philippe, Fortems-Cheiney, Audrey, Ganzenmüller, Raphael, Grassi, Giacomo, Harris, Ian, Jones, Matthew, Knauer, Jürgen, Kuhnert, Matthias, Monteil, Guillaume, Munassar, Saqr, Palmer, Paul I., Peters, Glen P., Qiu, Chunjing, Schelhaas, Mart Jan, Tarasova, Oksana, Vizzarri, Matteo, Winkler, Karina, Balsamo, Gianpaolo, Berchet, Antoine, Briggs, Peter, Brockmann, Patrick, Chevallier, Frédéric, Conchedda, Giulia, Crippa, Monica, Dellaert, Stijn N.C., Denier van der Gon, Hugo A.C., Filipek, Sara, Friedlingstein, Pierre, Fuchs, Richard, Gauss, Michael, Gerbig, Christoph, Guizzardi, Diego, Günther, Dirk, Houghton, Richard A., Janssens-Maenhout, Greet, Lauerwald, Ronny, Lerink, Bas, Luijkx, Ingrid T., Moulas, Géraud, Muntean, Marilena, Nabuurs, Gert Jan, Paquirissamy, Aurélie, Perugini, Lucia, Peters, Wouter, Pilli, Roberto, Pongratz, Julia, Regnier, Pierre, Scholze, Marko, Serengil, Yusuf, Smith, Pete, Solazzo, Efisio, Thompson, Rona L., Tubiello, Francesco N., Vesala, Timo, Walther, Sophia, McGrath, Matthew J., Petrescu, Ana Maria Roxana, Peylin, Philippe, Andrew, Robbie M., Matthews, Bradley, Dentener, Frank, Balkovič, Juraj, Bastrikov, Vladislav, Becker, Meike, Broquet, Gregoire, Ciais, Philippe, Fortems-Cheiney, Audrey, Ganzenmüller, Raphael, Grassi, Giacomo, Harris, Ian, Jones, Matthew, Knauer, Jürgen, Kuhnert, Matthias, Monteil, Guillaume, Munassar, Saqr, Palmer, Paul I., Peters, Glen P., Qiu, Chunjing, Schelhaas, Mart Jan, Tarasova, Oksana, Vizzarri, Matteo, Winkler, Karina, Balsamo, Gianpaolo, Berchet, Antoine, Briggs, Peter, Brockmann, Patrick, Chevallier, Frédéric, Conchedda, Giulia, Crippa, Monica, Dellaert, Stijn N.C., Denier van der Gon, Hugo A.C., Filipek, Sara, Friedlingstein, Pierre, Fuchs, Richard, Gauss, Michael, Gerbig, Christoph, Guizzardi, Diego, Günther, Dirk, Houghton, Richard A., Janssens-Maenhout, Greet, Lauerwald, Ronny, Lerink, Bas, Luijkx, Ingrid T., Moulas, Géraud, Muntean, Marilena, Nabuurs, Gert Jan, Paquirissamy, Aurélie, Perugini, Lucia, Peters, Wouter, Pilli, Roberto, Pongratz, Julia, Regnier, Pierre, Scholze, Marko, Serengil, Yusuf, Smith, Pete, Solazzo, Efisio, Thompson, Rona L., Tubiello, Francesco N., Vesala, Timo, and Walther, Sophia
Abstract: Quantification of land surface-atmosphere fluxes of carbon dioxide (CO2) and their trends and uncertainties is essential for monitoring progress of the EU27+UK bloc as it strives to meet ambitious targets determined by both international agreements and internal regulation. This study provides a consolidated synthesis of fossil sources (CO2 fossil) and natural (including formally managed ecosystems) sources and sinks over land (CO2 land) using bottom-up (BU) and top-down (TD) approaches for the European Union and United Kingdom (EU27+UK), updating earlier syntheses (Petrescu et al., 2020, 2021). Given the wide scope of the work and the variety of approaches involved, this study aims to answer essential questions identified in the previous syntheses and understand the differences between datasets, particularly for poorly characterized fluxes from managed and unmanaged ecosystems. The work integrates updated emission inventory data, process-based model results, data-driven categorical model results, and inverse modeling estimates, extending the previous period 1990-2018 to the year 2020 to the extent possible. BU and TD products are compared with the European national greenhouse gas inventory (NGHGI) reported by parties including the year 2019 under the United Nations Framework Convention on Climate Change (UNFCCC). The uncertainties of the EU27+UK NGHGI were evaluated using the standard deviation reported by the EU member states following the guidelines of the Intergovernmental Panel on Climate Change (IPCC) and harmonized by gap-filling procedures. Variation in estimates produced with other methods, such as atmospheric inversion models (TD) or spatially disaggregated inventory datasets (BU), originate from within-model uncertainty related to parameterization as well as structural differences between models. By comparing the NGHGI with other approaches, key sources of differences between estimates arise primarily in activities. System boundaries and emission categorie
Published: 2023

23. Variable influence of photosynthetic thermal acclimation on future carbon uptake in Australian wooded ecosystems under climate change.

Author: Bennett, Alison C., Knauer, Jürgen, Bennett, Lauren T., Haverd, Vanessa, and Arndt, Stefan K.
Subjects: *ACCLIMATIZATION, *CLIMATE change, *CARBON sequestration in forests, *TEMPERATE forests, *SAVANNAS, *TROPICAL forests
Abstract: Climate change will impact gross primary productivity (GPP), net primary productivity (NPP), and carbon storage in wooded ecosystems. The extent of change will be influenced by thermal acclimation of photosynthesis—the ability of plants to adjust net photosynthetic rates in response to growth temperatures—yet regional differences in acclimation effects among wooded ecosystems is currently unknown. We examined the effects of changing climate on 17 Australian wooded ecosystems with and without the effects of thermal acclimation of C3 photosynthesis. Ecosystems were drawn from five ecoregions (tropical savanna, tropical forest, Mediterranean woodlands, temperate woodlands, and temperate forests) that span Australia's climatic range. We used the CABLE‐POP land surface model adapted with thermal acclimation functions and forced with HadGEM2‐ES climate projections from RCP8.5. For each site and ecoregion we examined (a) effects of climate change on GPP, NPP, and live tree carbon storage; and (b) impacts of thermal acclimation of photosynthesis on simulated changes. Between the end of the historical (1976–2005) and projected (2070–2099) periods simulated annual carbon uptake increased in the majority of ecosystems by 26.1%–63.3% for GPP and 15%–61.5% for NPP. Thermal acclimation of photosynthesis further increased GPP and NPP in tropical savannas by 27.2% and 22.4% and by 11% and 10.1% in tropical forests with positive effects concentrated in the wet season (tropical savannas) and the warmer months (tropical forests). We predicted minimal effects of thermal acclimation of photosynthesis on GPP, NPP, and carbon storage in Mediterranean woodlands, temperate woodlands, and temperate forests. Overall, positive effects were strongly enhanced by increasing CO2 concentrations under RCP8.5. We conclude that the direct effects of climate change will enhance carbon uptake and storage in Australian wooded ecosystems (likely due to CO2 enrichment) and that benefits of thermal acclimation of photosynthesis will be restricted to tropical ecoregions. [ABSTRACT FROM AUTHOR]
Published: 2024
Full Text: View/download PDF

24. Uncertainty and Emergent Constraints on Enhanced Ecosystem Carbon Stock by Land Greening

Author: Bian, Chenyu, primary, Xia, Jianyang, additional, Zhang, Xuanze, additional, Huang, Kun, additional, Cui, Erqian, additional, Zhou, Jian, additional, Wei, Ning, additional, Wang, Ying‐Ping, additional, Lombardozzi, Danica, additional, Goll, Daniel S., additional, Knauer, Jürgen, additional, Arora, Vivek, additional, Yuan, Wenping, additional, Sitch, Stephen, additional, Friedlingstein, Pierre, additional, and Luo, Yiqi, additional
Published: 2023
Full Text: View/download PDF

25. Large Variability in Simulated Response of Vegetation Composition and Carbon Dynamics to Variations in Drought‐Heat Occurrence

Author: Tschumi, Elisabeth, primary, Lienert, Sebastian, additional, Bastos, Ana, additional, Ciais, Philippe, additional, Gregor, Konstantin, additional, Joos, Fortunat, additional, Knauer, Jürgen, additional, Papastefanou, Philip, additional, Rammig, Anja, additional, van der Wiel, Karin, additional, Williams, Karina, additional, Xu, Yidi, additional, Zaehle, Sönke, additional, and Zscheischler, Jakob, additional
Published: 2023
Full Text: View/download PDF

26. The consolidated European synthesis of CO2 emissions and removals for EU27 and UK: 1990–2020

Author: McGrath, Matthew Joseph, Petrescu, Ana-Maria-Roxana, Peylin, Philippe, Andrew, Robbie M., Matthews, Bradley, Dentener, Frank J., Balkovič, Juraj, Bastrikov, Vladislav, Becker, Meike, Broquet, Gregoire, Ciais, Philippe, Fortems-Cheiney, Audrey, Ganzenmüller, Raphael, Grassi, Giacomo, Harris, Ian, Jones, Matthew W., Knauer, Jürgen, Kuhnert, Matthias, Monteil, Guillaume, Munassar, Saqr, Palmer, Paul I., Peters, Glen P., Qiu, Chunjing, Schelhaas, Mart Jan, Tarasova, Oksana A., Vizzarri, Matteo, Winkler, Karina, Balsamo, Gianpaolo, Berchet, Antoine, Briggs, Peter, Brockmann, Patrick, Chevallier, Frederic, Conchedda, Giulia, Crippa, Monica, Dellaert, Stijn, A. C. Denier Van Der Gon, Hugo, Filipek, Sara, Friedlingstein, Pierre, Fuchs, Richard, Gauss, Michael, Gerbig, Christoph, Guizzardi, Diego, Günther, Dirk, Houghton, Richard A., Janssens-Maenhout, Greet, Lauerwald, Ronny, Lerink, Bas, Van Der Laan-Luijkx, Ingrid T., Moulas, Geraud, Muntean, Marilena, Nabuurs, Gert Jan, Paquirissamy, Aurélie, Perugini, Lucia, Peters, Wouter, Pilli, Roberto, Pongratz, Julia, Regnier, Pierre, Scholze, Marko, Serengil, Yusuf, Smith, Pete, Solazzo, Efisio, Thompson, Rona L., N. Tubiello, Francesco, Vesala, Timo, and Walther, Sophia
Published: 2023

27. Amazon forests a net carbon source during drought and under high rates of human-disturbance

Author: Rosan, Thais, primary, Sitch, Stephen, additional, O'Sullivan, Michael, additional, Basso, Luana, additional, Wilson, Chris, additional, Silva, Camila V. J., additional, Gloor, Manuel, additional, Fawcett, Dominic, additional, Heinrich, Viola, additional, de Souza, Jefferson Goncalves, additional, Bezerra, Francisco, additional, von Randow, Celso, additional, Mercado, Lina, additional, Gatti, Luciana, additional, Wiltshire, Andy, additional, Friedlingstein, Pierre, additional, Pongratz, Julia, additional, Schwingshackl, Clemens, additional, Williams, Mathew, additional, Smallman, Luke, additional, Knauer, Jürgen, additional, Arora, Vivek, additional, Kennedy, Daniel, additional, Tian, Hanqin, additional, Wenping, Yuan, additional, Jain, Atul, additional, Falk, Stefanie, additional, Poulder, Ben, additional, Arneth, Almut, additional, Sun, Qing, additional, Zaehle, Sönke, additional, Walker, Anthony, additional, Kato, Etsushi, additional, Yue, Xu, additional, Bastos, Ana, additional, Ciais, Philippe, additional, Wigneron, Jean-Pierre, additional, Albergel, Clement, additional, and Aragão, Luiz, additional
Published: 2023
Full Text: View/download PDF

28. Can we model forest demography globally? Benchmarking of state-of-the-art Demographic DGVMs

Author: Eckes-Shephard, Annemarie, primary, Argles, Arthur, additional, Brzeziecki, Bogdan, additional, Cox, Peter, additional, De Kauwe, Martin G., additional, Esquivel Muelbert, Adriane, additional, Fisher, Rosie A., additional, Knauer, Jürgen, additional, Koven, Charles D., additional, Lehtonen, Aleksi, additional, Longo, Marcos, additional, Luyssaert, Sebastiaan, additional, Marqués, Laura, additional, Moore, Jon, additional, Needham, Jessica F., additional, Olin, Stefan, additional, Peltoniemi, Mikko, additional, Sitch, Steven, additional, Stocker, Benjamin, additional, Weng, Ensheng, additional, Zuleta, Daniel, additional, and Pugh, Thomas, additional
Published: 2023
Full Text: View/download PDF

29. Confronting models with data: carbon-phosphorus interaction under elevated CO2 in a mature forest ecosystem (EucFACE)

Author: Jiang, Mingkai, primary, Medlyn, Belinda, additional, Wårlind, David, additional, Knauer, Jürgen, additional, Goll, Daniel, additional, Yu, Lin, additional, Fleischer, Katrin, additional, Zhang, Haicheng, additional, Yang, Xiaojuan, additional, Zaehle, Sönke, additional, Ellsworth, David, additional, and Smith, Benjamin, additional
Published: 2023
Full Text: View/download PDF

30. Evaluating Nitrogen Cycling in Terrestrial Biosphere Models: Implications for the Future Terrestrial Carbon Sink

Author: Kou-Giesbrecht, Sian, primary, Arora, Vivek, additional, Seiler, Christian, additional, Arneth, Almut, additional, Falk, Stefanie, additional, Jain, Atul, additional, Joos, Fortunat, additional, Kennedy, Daniel, additional, Knauer, Jürgen, additional, Sitch, Stephen, additional, O'Sullivan, Michael, additional, Pan, Naiqing, additional, Sun, Qing, additional, Tian, Hanqin, additional, Vuichard, Nicolas, additional, and Zaehle, Sönke, additional
Published: 2023
Full Text: View/download PDF

31. How Nitrogen and Phosphorus Availability Change Water Use Efficiency in a Mediterranean Savanna Ecosystem

Author: Ministerio de Economía y Competitividad (España), German Centre for Air and Space Travel, Junta de Extremadura, El-Madany, Tarek S. [0000-0002-0726-7141], Reichstein, Markus [0000-0001-5736-1112], Carrara, Arnaud [0000-0002-9095-8807], Martín, M. Pilar [0000-0002-5563-8461], Moreno, Gerardo [0000-0001-8053-2696], González-Cascón, Rosario [0000-0003-3468-0967], Peñuelas, Josep [0000-0002-7215-0150], Ellsworth, David S.[0000-0002-9699-2272], Burchard-Levine, Vicente [0000-0003-0222-8706], Knauer, Jürgen [0000-0002-4947-7067], Kolle, Olaf [0000-0002-7373-7519], Pacheco-Labrador, Javier [0000-0003-3401-7081], Nelson, Jacob A. [0000-0002-4663-2420], Perez-Priego, Oscar [0000-0002-3138-3177], Rolo, Victor [0000-0001-5854-9512], Wutzler, Thomas [0000-0003-4159-5445], Migliavacca, Mirco [0000-0003-3546-8407], El-Madany, Tarek S., Reichstein, Markus, Carrara, Arnaud, Martin, M. Pilar, Moreno, Gerardo, González-Cascón, Rosario, Peñuelas, Josep, Ellsworth, David S., Burchard-Levine, Vicente, Hammer, Tiana W., Knauer, Jürgen, Kolle, Olaf, Luo, Yunpeng, Pacheco-Labrador, Javier, Nelson, Jacob A., Pérez-Priego, Óscar, Rolo, Victor, Wutzler, Thomas, Migliavacca, Mirco, Ministerio de Economía y Competitividad (España), German Centre for Air and Space Travel, Junta de Extremadura, El-Madany, Tarek S. [0000-0002-0726-7141], Reichstein, Markus [0000-0001-5736-1112], Carrara, Arnaud [0000-0002-9095-8807], Martín, M. Pilar [0000-0002-5563-8461], Moreno, Gerardo [0000-0001-8053-2696], González-Cascón, Rosario [0000-0003-3468-0967], Peñuelas, Josep [0000-0002-7215-0150], Ellsworth, David S.[0000-0002-9699-2272], Burchard-Levine, Vicente [0000-0003-0222-8706], Knauer, Jürgen [0000-0002-4947-7067], Kolle, Olaf [0000-0002-7373-7519], Pacheco-Labrador, Javier [0000-0003-3401-7081], Nelson, Jacob A. [0000-0002-4663-2420], Perez-Priego, Oscar [0000-0002-3138-3177], Rolo, Victor [0000-0001-5854-9512], Wutzler, Thomas [0000-0003-4159-5445], Migliavacca, Mirco [0000-0003-3546-8407], El-Madany, Tarek S., Reichstein, Markus, Carrara, Arnaud, Martin, M. Pilar, Moreno, Gerardo, González-Cascón, Rosario, Peñuelas, Josep, Ellsworth, David S., Burchard-Levine, Vicente, Hammer, Tiana W., Knauer, Jürgen, Kolle, Olaf, Luo, Yunpeng, Pacheco-Labrador, Javier, Nelson, Jacob A., Pérez-Priego, Óscar, Rolo, Victor, Wutzler, Thomas, and Migliavacca, Mirco
Abstract: Nutrient availability, especially of nitrogen (N) and phosphorus (P), is of major importance for every organism and at a larger scale for ecosystem functioning and productivity. Changes in nutrient availability and potential stoichiometric imbalance due to anthropogenic nitrogen deposition might lead to nutrient deficiency or alter ecosystem functioning in various ways. In this study, we present 6 years (2014–2020) of flux-, plant-, and remote sensing data from a large-scale nutrient manipulation experiment conducted in a Mediterranean savanna-type ecosystem with an emphasis on the effects of N and P treatments on ecosystem-scale water-use efficiency (WUE) and related mechanisms. Two plots were fertilized with N (NT, 16.9 Ha) and N + P (NPT, 21.5 Ha), and a third unfertilized plot served as a control (CT). Fertilization had a strong impact on leaf nutrient stoichiometry only within the herbaceous layer with increased leaf N in both fertilized treatments and increased leaf P in NPT. Following fertilization, WUE in NT and NPT increased during the peak of growing season. While gross primary productivity similarly increased in NT and NPT, transpiration and surface conductance increased more in NT than in NPT. The results show that the NPT plot with higher nutrient availability, but more balanced N:P leaf stoichiometry had the highest WUE. On average, higher N availability resulted in a 40% increased leaf area index (LAI) in both fertilized treatments in the spring. Increased LAI reduced aerodynamic conductance and thus evaporation at both fertilized plots in the spring. Despite reduced evaporation, annual evapotranspiration increased by 10% (48.6 ± 28.3 kg H2O m−2), in the NT plot, while NPT remained similar to CT (−1%, −6.7 ± 12.2 kgH2O m−2). Potential causes for increased transpiration at NT could be increased root biomass and thus higher water uptake or rhizosphere priming to increase P-mobilization through microbes. The annual net ecosystem exchange shifted from a c
Published: 2021

32. Global Carbon Budget 2022

Author: Friedlingstein, Pierre, primary, O'Sullivan, Michael, additional, Jones, Matthew W., additional, Andrew, Robbie M., additional, Gregor, Luke, additional, Hauck, Judith, additional, Le Quéré, Corinne, additional, Luijkx, Ingrid T., additional, Olsen, Are, additional, Peters, Glen P., additional, Peters, Wouter, additional, Pongratz, Julia, additional, Schwingshackl, Clemens, additional, Sitch, Stephen, additional, Canadell, Josep G., additional, Ciais, Philippe, additional, Jackson, Robert B., additional, Alin, Simone R., additional, Alkama, Ramdane, additional, Arneth, Almut, additional, Arora, Vivek K., additional, Bates, Nicholas R., additional, Becker, Meike, additional, Bellouin, Nicolas, additional, Bittig, Henry C., additional, Bopp, Laurent, additional, Chevallier, Frédéric, additional, Chini, Louise P., additional, Cronin, Margot, additional, Evans, Wiley, additional, Falk, Stefanie, additional, Feely, Richard A., additional, Gasser, Thomas, additional, Gehlen, Marion, additional, Gkritzalis, Thanos, additional, Gloege, Lucas, additional, Grassi, Giacomo, additional, Gruber, Nicolas, additional, Gürses, Özgür, additional, Harris, Ian, additional, Hefner, Matthew, additional, Houghton, Richard A., additional, Hurtt, George C., additional, Iida, Yosuke, additional, Ilyina, Tatiana, additional, Jain, Atul K., additional, Jersild, Annika, additional, Kadono, Koji, additional, Kato, Etsushi, additional, Kennedy, Daniel, additional, Klein Goldewijk, Kees, additional, Knauer, Jürgen, additional, Korsbakken, Jan Ivar, additional, Landschützer, Peter, additional, Lefèvre, Nathalie, additional, Lindsay, Keith, additional, Liu, Junjie, additional, Liu, Zhu, additional, Marland, Gregg, additional, Mayot, Nicolas, additional, McGrath, Matthew J., additional, Metzl, Nicolas, additional, Monacci, Natalie M., additional, Munro, David R., additional, Nakaoka, Shin-Ichiro, additional, Niwa, Yosuke, additional, O'Brien, Kevin, additional, Ono, Tsuneo, additional, Palmer, Paul I., additional, Pan, Naiqing, additional, Pierrot, Denis, additional, Pocock, Katie, additional, Poulter, Benjamin, additional, Resplandy, Laure, additional, Robertson, Eddy, additional, Rödenbeck, Christian, additional, Rodriguez, Carmen, additional, Rosan, Thais M., additional, Schwinger, Jörg, additional, Séférian, Roland, additional, Shutler, Jamie D., additional, Skjelvan, Ingunn, additional, Steinhoff, Tobias, additional, Sun, Qing, additional, Sutton, Adrienne J., additional, Sweeney, Colm, additional, Takao, Shintaro, additional, Tanhua, Toste, additional, Tans, Pieter P., additional, Tian, Xiangjun, additional, Tian, Hanqin, additional, Tilbrook, Bronte, additional, Tsujino, Hiroyuki, additional, Tubiello, Francesco, additional, van der Werf, Guido R., additional, Walker, Anthony P., additional, Wanninkhof, Rik, additional, Whitehead, Chris, additional, Willstrand Wranne, Anna, additional, Wright, Rebecca, additional, Yuan, Wenping, additional, Yue, Chao, additional, Yue, Xu, additional, Zaehle, Sönke, additional, Zeng, Jiye, additional, and Zheng, Bo, additional
Published: 2022
Full Text: View/download PDF

33. Supplementary material to "Global Carbon Budget 2022"

Author: Friedlingstein, Pierre, primary, O'Sullivan, Michael, additional, Jones, Matthew W., additional, Andrew, Robbie M., additional, Gregor, Luke, additional, Hauck, Judith, additional, Le Quéré, Corinne, additional, Luijkx, Ingrid T., additional, Olsen, Are, additional, Peters, Glen P., additional, Peters, Wouter, additional, Pongratz, Julia, additional, Schwingshackl, Clemens, additional, Sitch, Stephen, additional, Canadell, Josep G., additional, Ciais, Philippe, additional, Jackson, Robert B., additional, Alin, Simone R., additional, Alkama, Ramdane, additional, Arneth, Almut, additional, Arora, Vivek K., additional, Bates, Nicholas R., additional, Becker, Meike, additional, Bellouin, Nicolas, additional, Bittig, Henry C., additional, Bopp, Laurent, additional, Chevallier, Frédéric, additional, Chini, Louise P., additional, Cronin, Margot, additional, Evans, Wiley, additional, Falk, Stefanie, additional, Feely, Richard A., additional, Gasser, Thomas, additional, Gehlen, Marion, additional, Gkritzalis, Thanos, additional, Gloege, Lucas, additional, Grassi, Giacomo, additional, Gruber, Nicolas, additional, Gürses, Özgür, additional, Harris, Ian, additional, Hefner, Matthew, additional, Houghton, Richard A., additional, Hurtt, George C., additional, Iida, Yosuke, additional, Ilyina, Tatiana, additional, Jain, Atul K., additional, Jersild, Annika, additional, Kadono, Koji, additional, Kato, Etsushi, additional, Kennedy, Daniel, additional, Klein Goldewijk, Kees, additional, Knauer, Jürgen, additional, Korsbakken, Jan Ivar, additional, Landschützer, Peter, additional, Lefèvre, Nathalie, additional, Lindsay, Keith, additional, Liu, Junjie, additional, Liu, Zhu, additional, Marland, Gregg, additional, Mayot, Nicolas, additional, McGrath, Matthew J., additional, Metzl, Nicolas, additional, Monacci, Natalie M., additional, Munro, David R., additional, Nakaoka, Shin-Ichiro, additional, Niwa, Yosuke, additional, O'Brien, Kevin, additional, Ono, Tsuneo, additional, Palmer, Paul I., additional, Pan, Naiqing, additional, Pierrot, Denis, additional, Pocock, Katie, additional, Poulter, Benjamin, additional, Resplandy, Laure, additional, Robertson, Eddy, additional, Rödenbeck, Christian, additional, Rodriguez, Carmen, additional, Rosan, Thais M., additional, Schwinger, Jörg, additional, Séférian, Roland, additional, Shutler, Jamie D., additional, Skjelvan, Ingunn, additional, Steinhoff, Tobias, additional, Sun, Qing, additional, Sutton, Adrienne J., additional, Sweeney, Colm, additional, Takao, Shintaro, additional, Tanhua, Toste, additional, Tans, Pieter P., additional, Tian, Xiangjun, additional, Tian, Hanqin, additional, Tilbrook, Bronte, additional, Tsujino, Hiroyuki, additional, Tubiello, Francesco, additional, van der Werf, Guido, additional, Walker, Anthony P., additional, Wanninkhof, Rik, additional, Whitehead, Chris, additional, Willstrand Wranne, Anna, additional, Wright, Rebecca, additional, Yuan, Wenping, additional, Yue, Chao, additional, Yue, Xu, additional, Zaehle, Sönke, additional, Zeng, Jiye, additional, and Zheng, Bo, additional
Published: 2022
Full Text: View/download PDF

34. Supplementary material to "Mapping land-use fluxes for 2001–2020 from global models to national inventories"

Author: Grassi, Giacomo, primary, Schwingshackl, Clemens, additional, Gasser, Thomas, additional, Houghton, Richard A., additional, Sitch, Stephen, additional, Canadell, Josep G., additional, Cescatti, Alessandro, additional, Ciais, Philippe, additional, Federici, Sandro, additional, Friedlingstein, Pierre, additional, Kurz, Werner A., additional, Sanz Sanchez, Maria J., additional, Abad Viñas, Raúl, additional, Alkama, Ramdane, additional, Ceccherini, Guido, additional, Kato, Etsushi, additional, Kennedy, Daniel, additional, Knauer, Jürgen, additional, Korosuo, Anu, additional, McGrath, Matthew J., additional, Nabel, Julia, additional, Poulter, Benjamin, additional, Rossi, Simone, additional, Walker, Anthony P., additional, Yuan, Wenping, additional, Yue, Xu, additional, and Pongratz, Julia, additional
Published: 2022
Full Text: View/download PDF

35. Mapping land-use fluxes for 2001–2020 from global models to national inventories

Author: Grassi, Giacomo, primary, Schwingshackl, Clemens, additional, Gasser, Thomas, additional, Houghton, Richard A., additional, Sitch, Stephen, additional, Canadell, Josep G., additional, Cescatti, Alessandro, additional, Ciais, Philippe, additional, Federici, Sandro, additional, Friedlingstein, Pierre, additional, Kurz, Werner A., additional, Sanz Sanchez, Maria J., additional, Abad Viñas, Raúl, additional, Alkama, Ramdane, additional, Ceccherini, Guido, additional, Kato, Etsushi, additional, Kennedy, Daniel, additional, Knauer, Jürgen, additional, Korosuo, Anu, additional, McGrath, Matthew J., additional, Nabel, Julia, additional, Poulter, Benjamin, additional, Rossi, Simone, additional, Walker, Anthony P., additional, Yuan, Wenping, additional, Yue, Xu, additional, and Pongratz, Julia, additional
Published: 2022
Full Text: View/download PDF

36. Contrasting anatomical and biochemical controls on mesophyll conductance across plant functional types

Author: Knauer, Jürgen, primary, Cuntz, Matthias, additional, Evans, John R., additional, Niinemets, Ülo, additional, Tosens, Tiina, additional, Veromann‐Jürgenson, Linda‐Liisa, additional, Werner, Christiane, additional, and Zaehle, Sönke, additional
Published: 2022
Full Text: View/download PDF

37. Interannual variability in the Australian carbon cycle over 2015–2019, based on assimilation of Orbiting Carbon Observatory-2 (OCO-2) satellite data

Author: Villalobos, Yohanna, primary, Rayner, Peter J., additional, Silver, Jeremy D., additional, Thomas, Steven, additional, Haverd, Vanessa, additional, Knauer, Jürgen, additional, Loh, Zoë M., additional, Deutscher, Nicholas M., additional, Griffith, David W. T., additional, and Pollard, David F., additional
Published: 2022
Full Text: View/download PDF

38. Global Carbon Budget 2021

Author: Friedlingstein, Pierre, Jones, Matthew W., O'Sullivan, Michael, Andrew, Robbie M., Bakker, Dorothee C.E., Hauck, Judith, Le Quéré, Corinne, Peters, Glen P., Peters, Wouter, Pongratz, Julia, Sitch, Stephen, Canadell, Josep G., Ciais, Philippe, Jackson, Rob B., Alin, Simone R., Anthoni, Peter, Bates, Nicholas R., Becker, Meike, Bellouin, Nicolas, Bopp, Laurent, Chau, Thi Tuyet Trang, Chevallier, Frédéric, Chini, Louise P., Cronin, Margot, Currie, Kim I., Decharme, Bertrand, Djeutchouang, Laique M., Dou, Xinyu, Evans, Wiley, Feely, Richard A., Feng, Liang, Gasser, Thomas, Gilfillan, Dennis, Gkritzalis, Thanos, Grassi, Giacomo, Gregor, Luke, Gruber, Nicolas, Gürses, Özgür, Harris, Ian, Houghton, Richard A., Hurtt, George C., Iida, Yosuke, Ilyina, Tatiana, Luijkx, Ingrid T., Jain, Atul, Jones, Steve D., Kato, Etsushi, Kennedy, Daniel, Goldewijk, Kees Klein, Knauer, Jürgen, Korsbakken, Jan Ivar, Körtzinger, Arne, Landschützer, Peter, Lauvset, Siv K., Lefèvre, Nathalie, Lienert, Sebastian, Liu, Junjie, Marland, Gregg, McGuire, Patrick C., Melton, Joe R., Munro, David R., Nabel, Julia E.M.S., Nakaoka, Shin Ichiro, Niwa, Yosuke, Ono, Tsuneo, Pierrot, Denis, Poulter, Benjamin, Rehder, Gregor, Resplandy, Laure, Robertson, Eddy, Rödenbeck, Christian, Rosan, Thais M., Schwinger, Jörg, Schwingshackl, Clemens, Séférian, Roland, Sutton, Adrienne J., Sweeney, Colm, Tanhua, Toste, Tans, Pieter P., Tian, Hanqin, Tilbrook, Bronte, Tubiello, Francesco, Van Der Werf, Guido R., Vuichard, Nicolas, Wada, Chisato, Wanninkhof, Rik, Watson, Andrew J., Willis, David, Wiltshire, Andrew J., Yuan, Wenping, Yue, Chao, Yue, Xu, Zaehle, Sönke, Zeng, Jiye, Integr. Assessm. Global Environm. Change, and Environmental Sciences
Subjects: Earth and Planetary Sciences(all)
Abstract: Accurate assessment of anthropogenic carbon dioxide (CO2) emissions and their redistribution among the atmosphere, ocean, and terrestrial biosphere in a changing climate is critical to better understand the global carbon cycle, support the development of climate policies, and project future climate change. Here we describe and synthesize datasets and methodology to quantify the five major components of the global carbon budget and their uncertainties. Fossil CO2 emissions (EFOS) are based on energy statistics and cement production data, while emissions from land-use change (ELUC), mainly deforestation, are based on land use and land-use change data and bookkeeping models. Atmospheric CO2 concentration is measured directly, and its growth rate (GATM) is computed from the annual changes in concentration. The ocean CO2 sink (SOCEAN) is estimated with global ocean biogeochemistry models and observation-based data products. The terrestrial CO2 sink (SLAND) is estimated with dynamic global vegetation models. The resulting carbon budget imbalance (BIM), the difference between the estimated total emissions and the estimated changes in the atmosphere, ocean, and terrestrial biosphere, is a measure of imperfect data and understanding of the contemporary carbon cycle. All uncertainties are reported as ±1σ. For the first time, an approach is shown to reconcile the difference in our ELUC estimate with the one from national greenhouse gas inventories, supporting the assessment of collective countries' climate progress. For the year 2020, EFOS declined by 5.4% relative to 2019, with fossil emissions at 9.5±0.5GtCyr-1 (9.3±0.5GtCyr-1 when the cement carbonation sink is included), and ELUC was 0.9±0.7GtCyr-1, for a total anthropogenic CO2 emission of 10.2±0.8GtCyr-1 (37.4±2.9GtCO2). Also, for 2020, GATM was 5.0±0.2GtCyr-1 (2.4±0.1ppmyr-1), SOCEAN was 3.0±0.4GtCyr-1, and SLAND was 2.9±1GtCyr-1, with a BIM of -0.8GtCyr-1. The global atmospheric CO2 concentration averaged over 2020 reached 412.45±0.1ppm. Preliminary data for 2021 suggest a rebound in EFOS relative to 2020 of +4.8% (4.2% to 5.4%) globally. Overall, the mean and trend in the components of the global carbon budget are consistently estimated over the period 1959-2020, but discrepancies of up to 1GtCyr-1 persist for the representation of annual to semi-decadal variability in CO2 fluxes. Comparison of estimates from multiple approaches and observations shows (1) a persistent large uncertainty in the estimate of land-use changes emissions, (2) a low agreement between the different methods on the magnitude of the land CO2 flux in the northern extra-tropics, and (3) a discrepancy between the different methods on the strength of the ocean sink over the last decade. This living data update documents changes in the methods and datasets used in this new global carbon budget and the progress in understanding of the global carbon cycle compared with previous publications of this dataset (Friedlingstein et al., 2020, 2019; Le Quéré et al., 2018b, a, 2016, 2015b, a, 2014, 2013). The data presented in this work are available at 10.18160/gcp-2021 (Friedlingstein et al., 2021).
Published: 2022

39. Supplemental data of Global Carbon Project 2022

Author: Friedlingstein, Pierre, O'Sullivan, Michael, Jones, Matthew W., Andrew, Robbie M., Gregor, Luke, Hauck, Judith, Le Quéré, Corinne, Luijkx, Ingrid T., Olsen, Are, Peters, Glen P., Peters, Wouter, Pongratz, Julia, Schwingshackl, Clemens, Sitch, Stephen, Canadell, Josep G., Ciais, Philippe, Jackson, Robert B., Alin, Simone R., Alkama, Ramdane, Arneth, Almut, Arora, Vivek K., Bates, Nicholas R., Becker, Meike, Bellouin, Nicolas, Bittig, Henry C., Bopp, Laurent, Chevallier, Frédéric, Chini, Louise P., Cronin, Margot, Evans, Wiley, Falk, Stefanie, Feely, Richard A., Gasser, Thomas, Gehlen, Marion, Gkritzalis, Thanos, Gloege, Lucas, Grassi, Giacomo, Gruber, Nicolas, Gürses, Özgür, Harris, Ian, Hefner, Matthew, Houghton, Richard A., Hurtt, George C., Iida, Yosuke, Ilyina, Tatiana, Jain, Atul K., Jersild, Annika, Kadono, Koji, Kato, Etsushi, Kennedy, Daniel, Klein Goldewijk, Kees, Knauer, Jürgen, Korsbakken, Jan Ivar, Landschützer, Peter, Lefèvre, Nathalie, Lindsay, Keith, Liu, Junjie, Liu, Zhu, Marland, Gregg, Mayot, Nicolas, Mcgrath, Matthew J., Metzl, Nicolas, Monacci, Natalie M., Munro, David R., Nakaoka, Shin-Ichiro, Niwa, Yosuke, O'brien, Kevin, Ono, Tsuneo, Palmer, Paul I., Pan, Naiqing, Pierrot, Denis, Pocock, Katie, Poulter, Benjamin, Resplandy, Laure, Robertson, Eddy, Rödenbeck, Christian, Rodriguez, Carmen, Rosan, Thais M., Schwinger, Jörg, Séférian, Roland, Shutler, Jamie D., Skjelvan, Ingunn, Steinhoff, Tobias, Sun, Qing, Sutton, Adrienne J., Sweeney, Colm, Takao, Shintaro, Tanhua, Toste, Tans, Pieter P., Tian, Xiangjun, Tian, Hanqin, Tilbrook, Bronte, Tsujino, Hiroyuki, Tubiello, Francesco, Van Der Werf, Guido R., Walker, Anthony P., Wanninkhof, Rik, Whitehead, Chris, Willstrand Wranne, Anna, Wright, Rebecca, Yuan, Wenping, Yue, Chao, Yue, Xu, Zaehle, Sönke, Zeng, Jiye, Zheng, Bo, Friedlingstein, Pierre, O'Sullivan, Michael, Jones, Matthew W., Andrew, Robbie M., Gregor, Luke, Hauck, Judith, Le Quéré, Corinne, Luijkx, Ingrid T., Olsen, Are, Peters, Glen P., Peters, Wouter, Pongratz, Julia, Schwingshackl, Clemens, Sitch, Stephen, Canadell, Josep G., Ciais, Philippe, Jackson, Robert B., Alin, Simone R., Alkama, Ramdane, Arneth, Almut, Arora, Vivek K., Bates, Nicholas R., Becker, Meike, Bellouin, Nicolas, Bittig, Henry C., Bopp, Laurent, Chevallier, Frédéric, Chini, Louise P., Cronin, Margot, Evans, Wiley, Falk, Stefanie, Feely, Richard A., Gasser, Thomas, Gehlen, Marion, Gkritzalis, Thanos, Gloege, Lucas, Grassi, Giacomo, Gruber, Nicolas, Gürses, Özgür, Harris, Ian, Hefner, Matthew, Houghton, Richard A., Hurtt, George C., Iida, Yosuke, Ilyina, Tatiana, Jain, Atul K., Jersild, Annika, Kadono, Koji, Kato, Etsushi, Kennedy, Daniel, Klein Goldewijk, Kees, Knauer, Jürgen, Korsbakken, Jan Ivar, Landschützer, Peter, Lefèvre, Nathalie, Lindsay, Keith, Liu, Junjie, Liu, Zhu, Marland, Gregg, Mayot, Nicolas, Mcgrath, Matthew J., Metzl, Nicolas, Monacci, Natalie M., Munro, David R., Nakaoka, Shin-Ichiro, Niwa, Yosuke, O'brien, Kevin, Ono, Tsuneo, Palmer, Paul I., Pan, Naiqing, Pierrot, Denis, Pocock, Katie, Poulter, Benjamin, Resplandy, Laure, Robertson, Eddy, Rödenbeck, Christian, Rodriguez, Carmen, Rosan, Thais M., Schwinger, Jörg, Séférian, Roland, Shutler, Jamie D., Skjelvan, Ingunn, Steinhoff, Tobias, Sun, Qing, Sutton, Adrienne J., Sweeney, Colm, Takao, Shintaro, Tanhua, Toste, Tans, Pieter P., Tian, Xiangjun, Tian, Hanqin, Tilbrook, Bronte, Tsujino, Hiroyuki, Tubiello, Francesco, Van Der Werf, Guido R., Walker, Anthony P., Wanninkhof, Rik, Whitehead, Chris, Willstrand Wranne, Anna, Wright, Rebecca, Yuan, Wenping, Yue, Chao, Yue, Xu, Zaehle, Sönke, Zeng, Jiye, and Zheng, Bo
Abstract: Supplement containing data related to the 2022 Global Carbon Budget from the Global Carbon Project. The original article is Friedlingstein et al: Global Carbon Budget 2022, Earth Syst. Sci. Data, 14, 4811–4900, https://doi.org/10.5194/essd-14-4811-2022. Further information is available on: http://www.globalcarbonproject.org/carbonbudget, Supplement containing data related to the 2022 Global Carbon Budget from the Global Carbon Project. The original article is Friedlingstein et al: Global Carbon Budget 2022, Earth Syst. Sci. Data, 14, 4811–4900, https://doi.org/10.5194/essd-14-4811-2022. Further information is available on: http://www.globalcarbonproject.org/carbonbudget. File Global_Carbon_Budget_2022v1.0.xlsx includes the following: 1. Summary 2. Global Carbon Budget 3. Fossil fuel emissions by Fuel Type 4. Land-use change emissions 5. Ocean Sink 6. Terrestrial sink 7. Historical Budget. File National_Carbon_Emissions_2022v1.0.xlsx includes the following: 1. Summary 2. Territorial emissions 3. Consumption emissions 4. Emissions transfers 5. Country definitions 6. Disaggregation 7. Aggregation
Published: 2022

40. Bridge to the future: Important lessons from 20 years of ecosystem observations made by the OzFlux network

Author: Beringer, Jason, Moore, Caitlin E., Cleverly, Jamie, Campbell, David I., Cleugh, Helen, De Kauwe, Martin G., Kirschbaum, Miko U. F., Griebel, Anne, Grover, Sam, Huete, Alfredo, Hutley, Lindsay B., Laubach, Johannes, Van Niel, Tom, Arndt, Stefan K., Bennett, Alison C., Cernusak, Lucas A., Eamus, Derek, Ewenz, Cacilia M., Goodrich, Jordan P., Jiang, Mingkai, Hinko-Najera, Nina, Isaac, Peter, Hobeichi, Sanaa, Knauer, Jürgen, Koerber, Georgia R., Liddell, Michael, Ma, Xuanlong, Macfarlane, Craig, McHugh, Ian D., Medlyn, Belinda E., Meyer, Wayne S., Norton, Alexander J., Owens, Jyoteshna, Pitman, Andy, Pendall, Elise, Prober, Suzanne M., Ray, Ram L., Restrepo-Coupe, Natalia, Rifai, Sami W., Rowlings, David, Schipper, Louis, Silberstein, Richard P., Teckentrup, Lina, Thompson, Sally E., Ukkola, Anna M., Wall, Aaron, Wang, Ying-Ping, Wardlaw, Tim J., Woodgate, William, Beringer, Jason, Moore, Caitlin E., Cleverly, Jamie, Campbell, David I., Cleugh, Helen, De Kauwe, Martin G., Kirschbaum, Miko U. F., Griebel, Anne, Grover, Sam, Huete, Alfredo, Hutley, Lindsay B., Laubach, Johannes, Van Niel, Tom, Arndt, Stefan K., Bennett, Alison C., Cernusak, Lucas A., Eamus, Derek, Ewenz, Cacilia M., Goodrich, Jordan P., Jiang, Mingkai, Hinko-Najera, Nina, Isaac, Peter, Hobeichi, Sanaa, Knauer, Jürgen, Koerber, Georgia R., Liddell, Michael, Ma, Xuanlong, Macfarlane, Craig, McHugh, Ian D., Medlyn, Belinda E., Meyer, Wayne S., Norton, Alexander J., Owens, Jyoteshna, Pitman, Andy, Pendall, Elise, Prober, Suzanne M., Ray, Ram L., Restrepo-Coupe, Natalia, Rifai, Sami W., Rowlings, David, Schipper, Louis, Silberstein, Richard P., Teckentrup, Lina, Thompson, Sally E., Ukkola, Anna M., Wall, Aaron, Wang, Ying-Ping, Wardlaw, Tim J., and Woodgate, William
Abstract: In 2020, the Australian and New Zealand flux research and monitoring network, OzFlux, celebrated its 20th anniversary by reflecting on the lessons learned through two decades of ecosystem studies on global change biology. OzFlux is a network not only for ecosystem researchers, but also for those ‘next users’ of the knowledge, information and data that such networks provide. Here, we focus on eight lessons across topics of climate change and variability, disturbance and resilience, drought and heat stress and synergies with remote sensing and modelling. In distilling the key lessons learned, we also identify where further research is needed to fill knowledge gaps and improve the utility and relevance of the outputs from OzFlux. Extreme climate variability across Australia and New Zealand (droughts and flooding rains) provides a natural laboratory for a global understanding of ecosystems in this time of accelerating climate change. As evidence of worsening global fire risk emerges, the natural ability of these ecosystems to recover from disturbances, such as fire and cyclones, provides lessons on adaptation and resilience to disturbance. Drought and heatwaves are common occurrences across large parts of the region and can tip an ecosystem's carbon budget from a net CO2 sink to a net CO2 source. Despite such responses to stress, ecosystems at OzFlux sites show their resilience to climate variability by rapidly pivoting back to a strong carbon sink upon the return of favourable conditions. Located in under-represented areas, OzFlux data have the potential for reducing uncertainties in global remote sensing products, and these data provide several opportunities to develop new theories and improve our ecosystem models. The accumulated impacts of these lessons over the last 20 years highlights the value of long-term flux observations for natural and managed systems. A future vision for OzFlux includes ongoing and newly developed synergies with ecophysiologists, ecologists
Published: 2022

41. Global Carbon Budget 2021

Author: Integr. Assessm. Global Environm. Change, Environmental Sciences, Friedlingstein, Pierre, Jones, Matthew W., O'Sullivan, Michael, Andrew, Robbie M., Bakker, Dorothee C.E., Hauck, Judith, Le Quéré, Corinne, Peters, Glen P., Peters, Wouter, Pongratz, Julia, Sitch, Stephen, Canadell, Josep G., Ciais, Philippe, Jackson, Rob B., Alin, Simone R., Anthoni, Peter, Bates, Nicholas R., Becker, Meike, Bellouin, Nicolas, Bopp, Laurent, Chau, Thi Tuyet Trang, Chevallier, Frédéric, Chini, Louise P., Cronin, Margot, Currie, Kim I., Decharme, Bertrand, Djeutchouang, Laique M., Dou, Xinyu, Evans, Wiley, Feely, Richard A., Feng, Liang, Gasser, Thomas, Gilfillan, Dennis, Gkritzalis, Thanos, Grassi, Giacomo, Gregor, Luke, Gruber, Nicolas, Gürses, Özgür, Harris, Ian, Houghton, Richard A., Hurtt, George C., Iida, Yosuke, Ilyina, Tatiana, Luijkx, Ingrid T., Jain, Atul, Jones, Steve D., Kato, Etsushi, Kennedy, Daniel, Goldewijk, Kees Klein, Knauer, Jürgen, Korsbakken, Jan Ivar, Körtzinger, Arne, Landschützer, Peter, Lauvset, Siv K., Lefèvre, Nathalie, Lienert, Sebastian, Liu, Junjie, Marland, Gregg, McGuire, Patrick C., Melton, Joe R., Munro, David R., Nabel, Julia E.M.S., Nakaoka, Shin Ichiro, Niwa, Yosuke, Ono, Tsuneo, Pierrot, Denis, Poulter, Benjamin, Rehder, Gregor, Resplandy, Laure, Robertson, Eddy, Rödenbeck, Christian, Rosan, Thais M., Schwinger, Jörg, Schwingshackl, Clemens, Séférian, Roland, Sutton, Adrienne J., Sweeney, Colm, Tanhua, Toste, Tans, Pieter P., Tian, Hanqin, Tilbrook, Bronte, Tubiello, Francesco, Van Der Werf, Guido R., Vuichard, Nicolas, Wada, Chisato, Wanninkhof, Rik, Watson, Andrew J., Willis, David, Wiltshire, Andrew J., Yuan, Wenping, Yue, Chao, Yue, Xu, Zaehle, Sönke, Zeng, Jiye, Integr. Assessm. Global Environm. Change, Environmental Sciences, Friedlingstein, Pierre, Jones, Matthew W., O'Sullivan, Michael, Andrew, Robbie M., Bakker, Dorothee C.E., Hauck, Judith, Le Quéré, Corinne, Peters, Glen P., Peters, Wouter, Pongratz, Julia, Sitch, Stephen, Canadell, Josep G., Ciais, Philippe, Jackson, Rob B., Alin, Simone R., Anthoni, Peter, Bates, Nicholas R., Becker, Meike, Bellouin, Nicolas, Bopp, Laurent, Chau, Thi Tuyet Trang, Chevallier, Frédéric, Chini, Louise P., Cronin, Margot, Currie, Kim I., Decharme, Bertrand, Djeutchouang, Laique M., Dou, Xinyu, Evans, Wiley, Feely, Richard A., Feng, Liang, Gasser, Thomas, Gilfillan, Dennis, Gkritzalis, Thanos, Grassi, Giacomo, Gregor, Luke, Gruber, Nicolas, Gürses, Özgür, Harris, Ian, Houghton, Richard A., Hurtt, George C., Iida, Yosuke, Ilyina, Tatiana, Luijkx, Ingrid T., Jain, Atul, Jones, Steve D., Kato, Etsushi, Kennedy, Daniel, Goldewijk, Kees Klein, Knauer, Jürgen, Korsbakken, Jan Ivar, Körtzinger, Arne, Landschützer, Peter, Lauvset, Siv K., Lefèvre, Nathalie, Lienert, Sebastian, Liu, Junjie, Marland, Gregg, McGuire, Patrick C., Melton, Joe R., Munro, David R., Nabel, Julia E.M.S., Nakaoka, Shin Ichiro, Niwa, Yosuke, Ono, Tsuneo, Pierrot, Denis, Poulter, Benjamin, Rehder, Gregor, Resplandy, Laure, Robertson, Eddy, Rödenbeck, Christian, Rosan, Thais M., Schwinger, Jörg, Schwingshackl, Clemens, Séférian, Roland, Sutton, Adrienne J., Sweeney, Colm, Tanhua, Toste, Tans, Pieter P., Tian, Hanqin, Tilbrook, Bronte, Tubiello, Francesco, Van Der Werf, Guido R., Vuichard, Nicolas, Wada, Chisato, Wanninkhof, Rik, Watson, Andrew J., Willis, David, Wiltshire, Andrew J., Yuan, Wenping, Yue, Chao, Yue, Xu, Zaehle, Sönke, and Zeng, Jiye
Published: 2022

42. The effect of differing drought-heat signatures on terrestrial carbon dynamics and vegetation composition: a multi-model comparison

Author: Tschumi, Elisabeth, primary, Lienert, Sebastian, additional, Bastos, Ana, additional, Gregor, Konstantin, additional, Joos, Fortunat, additional, Knauer, Jürgen, additional, Pongratz, Julia, additional, Rammig, Anja, additional, Thiery, Wim, additional, van der Wiel, Karin, additional, Wey, Hao-wei, additional, Williams, Karina, additional, Yao, Yi, additional, Zaehle, Sönke, additional, and Zscheischler, Jakob, additional
Published: 2022
Full Text: View/download PDF

43. Bridge to the future: Important lessons from 20 years of ecosystem observations made by the OzFlux network

Author: Beringer, Jason, primary, Moore, Caitlin E., additional, Cleverly, Jamie, additional, Campbell, David I., additional, Cleugh, Helen, additional, De Kauwe, Martin G., additional, Kirschbaum, Miko U. F., additional, Griebel, Anne, additional, Grover, Sam, additional, Huete, Alfredo, additional, Hutley, Lindsay B., additional, Laubach, Johannes, additional, Van Niel, Tom, additional, Arndt, Stefan K., additional, Bennett, Alison C., additional, Cernusak, Lucas A., additional, Eamus, Derek, additional, Ewenz, Cacilia M., additional, Goodrich, Jordan P., additional, Jiang, Mingkai, additional, Hinko‐Najera, Nina, additional, Isaac, Peter, additional, Hobeichi, Sanaa, additional, Knauer, Jürgen, additional, Koerber, Georgia R., additional, Liddell, Michael, additional, Ma, Xuanlong, additional, Macfarlane, Craig, additional, McHugh, Ian D., additional, Medlyn, Belinda E., additional, Meyer, Wayne S., additional, Norton, Alexander J., additional, Owens, Jyoteshna, additional, Pitman, Andy, additional, Pendall, Elise, additional, Prober, Suzanne M., additional, Ray, Ram L., additional, Restrepo‐Coupe, Natalia, additional, Rifai, Sami W., additional, Rowlings, David, additional, Schipper, Louis, additional, Silberstein, Richard P., additional, Teckentrup, Lina, additional, Thompson, Sally E., additional, Ukkola, Anna M., additional, Wall, Aaron, additional, Wang, Ying‐Ping, additional, Wardlaw, Tim J., additional, and Woodgate, William, additional
Published: 2022
Full Text: View/download PDF

44. Interannual variability in the Australian carbon cycle over 2015–2019, based on assimilation of OCO-2 satellite data

Author: Villalobos, Yohanna, primary, Rayner, Peter J., additional, Silver, Jeremy D., additional, Thomas, Steven, additional, Haverd, Vanessa, additional, Knauer, Jürgen, additional, Loh, Zoë M., additional, Deutscher, Nicholas M., additional, Griffith, David W. T., additional, and Pollard, David F., additional
Published: 2022
Full Text: View/download PDF

45. Supplementary material to "Interannual variability in the Australian carbon cycle over 2015–2019, based on assimilation of OCO-2 satellite data"

Author: Villalobos, Yohanna, primary, Rayner, Peter J., additional, Silver, Jeremy D., additional, Thomas, Steven, additional, Haverd, Vanessa, additional, Knauer, Jürgen, additional, Loh, Zoë M., additional, Deutscher, Nicholas M., additional, Griffith, David W. T., additional, and Pollard, David F., additional
Published: 2022
Full Text: View/download PDF

46. Harmonising the land-use flux estimates of global models and national inventories for 2000–2020.

Author: Grassi, Giacomo, Schwingshackl, Clemens, Gasser, Thomas, Houghton, Richard A., Sitch, Stephen, Canadell, Josep G., Cescatti, Alessandro, Ciais, Philippe, Federici, Sandro, Friedlingstein, Pierre, Kurz, Werner A., Sanz Sanchez, Maria J., Abad Viñas, Raúl, Alkama, Ramdane, Bultan, Selma, Ceccherini, Guido, Falk, Stefanie, Kato, Etsushi, Kennedy, Daniel, and Knauer, Jürgen
Subjects: ATMOSPHERIC carbon dioxide, CLIMATE change mitigation, FORESTS & forestry, PARIS Agreement (2016), INVENTORIES, CLIMATE change, DEVELOPING countries
Abstract: As the focus of climate policy shifts from pledges to implementation, there is a growing need to track progress on climate change mitigation at the country level, particularly for the land-use sector. Despite new tools and models providing unprecedented monitoring opportunities, striking differences remain in estimations of anthropogenic land-use CO 2 fluxes between, on the one hand, the national greenhouse gas inventories (NGHGIs) used to assess compliance with national climate targets under the Paris Agreement and, on the other hand, the Global Carbon Budget and Intergovernmental Panel on Climate Change (IPCC) assessment reports, both based on global bookkeeping models (BMs). Recent studies have shown that these differences are mainly due to inconsistent definitions of anthropogenic CO 2 fluxes in managed forests. Countries assume larger areas of forest to be managed than BMs do, due to a broader definition of managed land in NGHGIs. Additionally, the fraction of the land sink caused by indirect effects of human-induced environmental change (e.g. fertilisation effect on vegetation growth due to increased atmospheric CO 2 concentration) on managed lands is treated as non-anthropogenic by BMs but as anthropogenic in most NGHGIs. We implement an approach that adds the CO 2 sink caused by environmental change in countries' managed forests (estimated by 16 dynamic global vegetation models, DGVMs) to the land-use fluxes from three BMs. This sum is conceptually more comparable to NGHGIs and is thus expected to be quantitatively more similar. Our analysis uses updated and more comprehensive data from NGHGIs than previous studies and provides model results at a greater level of disaggregation in terms of regions, countries and land categories (i.e. forest land, deforestation, organic soils, other land uses). Our results confirm a large difference (6.7 GtCO 2 yr -1) in global land-use CO 2 fluxes between the ensemble mean of the BMs, which estimate a source of 4.8 GtCO 2 yr -1 for the period 2000–2020, and NGHGIs, which estimate a sink of -1.9 GtCO 2 yr -1 in the same period. Most of the gap is found on forest land (3.5 GtCO 2 yr -1), with differences also for deforestation (2.4 GtCO 2 yr -1), for fluxes from other land uses (1.0 GtCO 2 yr -1) and to a lesser extent for fluxes from organic soils (0.2 GtCO 2 yr -1). By adding the DGVM ensemble mean sink arising from environmental change in managed forests (-6.4 GtCO 2 yr -1) to BM estimates, the gap between BMs and NGHGIs becomes substantially smaller both globally (residual gap: 0.3 GtCO 2 yr -1) and in most regions and countries. However, some discrepancies remain and deserve further investigation. For example, the BMs generally provide higher emissions from deforestation than NGHGIs and, when adjusted with the sink in managed forests estimated by DGVMs, yield a sink that is often greater than NGHGIs. In summary, this study provides a blueprint for harmonising the estimations of anthropogenic land-use fluxes, allowing for detailed comparisons between global models and national inventories at global, regional and country levels. This is crucial to increase confidence in land-use emissions estimates, support investments in land-based mitigation strategies and assess the countries' collective progress under the Global Stocktake of the Paris Agreement. Data from this study are openly available online via the Zenodo portal (Grassi et al., 2023) at 10.5281/zenodo.7650360. [ABSTRACT FROM AUTHOR]
Published: 2023
Full Text: View/download PDF

47. Evaluating Nitrogen Cycling in Terrestrial Biosphere Models: Implications for the Future Terrestrial Carbon Sink.

Author: Kou-Giesbrecht, Sian, Arora, Vivek, Seiler, Christian, Arneth, Almut, Falk, Stefanie, Jain, Atul, Joos, Fortunat, Kennedy, Daniel, Knauer, Jürgen, Sitch, Stephen, O'Sullivan, Michael, Pan, Naiqing, Sun, Qing, Tian, Hanqin, Vuichard, Nicolas, and Zaehle, Sönke
Subjects: NITROGEN cycle, CARBON cycle, BIOSPHERE, WATER bikes
Abstract: Terrestrial carbon (C) sequestration is limited by nitrogen (N), a constraint that could intensify under CO2 fertilisation and future global change. The terrestrial C sink is estimated to currently sequester approximately a third of annual anthropogenic CO2 emissions based on an ensemble of terrestrial biosphere models, which have been evaluated in their ability to reproduce observations of the C, water, and energy cycles. However, their ability to reproduce observations of N cycling and thus the regulation of terrestrial C sequestration by N has been largely unexplored. Here, we evaluate an ensemble of terrestrial biosphere models with coupled C-N cycling and their performance at simulating N cycling, outlining a framework for evaluating N cycling that can be applied across terrestrial biosphere models. We find that models exhibit significant variability across N pools and fluxes, simulating different magnitudes and trends over the historical period, despite their ability to generally reproduce the historical terrestrial C sink. This suggests that the underlying N processes that regulate terrestrial C sequestration operate differently across models and may not be fully captured. Furthermore, models tended to overestimate tropical biological N fixation, vegetation C:N ratio, and soil C:N ratio but underestimate temperate biological N fixation relative to observations. However, there is significant uncertainty associated with measurements of N cycling processes given their scarcity (especially relative to those of C cycling processes) and their high spatiotemporal variability. Overall, our results suggest that terrestrial biosphere models that represent coupled C-N cycling (let alone those without a representation of N cycling) could be overestimating C storage per unit N, which could lead to biases in projections of the future terrestrial C sink under CO2 fertilisation and future global change. More extensive observations of N cycling processes are crucial to evaluate N cycling and its impact on C cycling as well as guide its development in terrestrial biosphere models. [ABSTRACT FROM AUTHOR]
Published: 2023
Full Text: View/download PDF

48. Was Australia a sink or source of CO2 in 2015? Data assimilation using OCO-2 satellite measurements

Author: Villalobos, Yohanna, primary, Rayner, Peter J., additional, Silver, Jeremy D., additional, Thomas, Steven, additional, Haverd, Vanessa, additional, Knauer, Jürgen, additional, Loh, Zoë M., additional, Deutscher, Nicholas M., additional, Griffith, David W. T., additional, and Pollard, David F., additional
Published: 2021
Full Text: View/download PDF

49. Global Carbon Budget 2021

Author: Friedlingstein, Pierre, primary, Jones, Matthew W., additional, O'Sullivan, Michael, additional, Andrew, Robbie M., additional, Bakker, Dorothee C. E., additional, Hauck, Judith, additional, Le Quéré, Corinne, additional, Peters, Glen P., additional, Peters, Wouter, additional, Pongratz, Julia, additional, Sitch, Stephen, additional, Canadell, Josep G., additional, Ciais, Philippe, additional, Jackson, Rob B., additional, Alin, Simone R., additional, Anthoni, Peter, additional, Bates, Nicholas R., additional, Becker, Meike, additional, Bellouin, Nicolas, additional, Bopp, Laurent, additional, Chau, Thi T. T., additional, Chevallier, Frédéric, additional, Chini, Louise P., additional, Cronin, Margot, additional, Currie, Kim I., additional, Decharme, Bertrand, additional, Djeutchouang, Laique, additional, Dou, Xinyu, additional, Evans, Wiley, additional, Feely, Richard A., additional, Feng, Liang, additional, Gasser, Thomas, additional, Gilfillan, Dennis, additional, Gkritzalis, Thanos, additional, Grassi, Giacomo, additional, Gregor, Luke, additional, Gruber, Nicolas, additional, Gürses, Özgür, additional, Harris, Ian, additional, Houghton, Richard A., additional, Hurtt, George C., additional, Iida, Yosuke, additional, Ilyina, Tatiana, additional, Luijkx, Ingrid T., additional, Jain, Atul K., additional, Jones, Steve D., additional, Kato, Etsushi, additional, Kennedy, Daniel, additional, Klein Goldewijk, Kees, additional, Knauer, Jürgen, additional, Korsbakken, Jan Ivar, additional, Körtzinger, Arne, additional, Landschützer, Peter, additional, Lauvset, Siv K., additional, Lefèvre, Nathalie, additional, Lienert, Sebastian, additional, Liu, Junjie, additional, Marland, Gregg, additional, McGuire, Patrick C., additional, Melton, Joe R., additional, Munro, David R., additional, Nabel, Julia E. M. S., additional, Nakaoka, Shin-Ichiro, additional, Niwa, Yosuke, additional, Ono, Tsuneo, additional, Pierrot, Denis, additional, Poulter, Benjamin, additional, Rehder, Gregor, additional, Resplandy, Laure, additional, Robertson, Eddy, additional, Rödenbeck, Christian, additional, Rosan, Thais M., additional, Schwinger, Jörg, additional, Schwingshackl, Clemens, additional, Séférian, Roland, additional, Sutton, Adrienne J., additional, Sweeney, Colm, additional, Tanhua, Toste, additional, Tans, Pieter P., additional, Tian, Hanqin, additional, Tilbrook, Bronte, additional, Tubiello, Francesco, additional, van der Werf, Guido, additional, Vuichard, Nicolas, additional, Wada, Chisato, additional, Wanninkhof, Rik, additional, Watson, Andrew, additional, Willis, David, additional, Wiltshire, Andrew J., additional, Yuan, Wenping, additional, Yue, Chao, additional, Yue, Xu, additional, Zaehle, Sönke, additional, and Zeng, Jiye, additional
Published: 2021
Full Text: View/download PDF

50. Was Australia a sink or source of CO2 in 2015? Data assimilation using OCO-2 satellite measurements

Author: Villalobos, Yohanna, Rayner, Peter J., Silver, Jeremy D., Thomas, Steven, Haverd, Vanessa, Knauer, Jürgen, Loh, Zoë M., Deutscher, Nicholas M., Griffith, David W. T., and Pollard, David F.
Abstract: In this study, we present the assimilation of data from the Orbiting Carbon Observatory-2 (OCO-2) (land nadir and glint data, version 9) to estimate the Australian carbon surface fluxes for the year 2015. To perform this estimation, we used both a regional-scale atmospheric transport–dispersion model and a four-dimensional variational assimilation scheme. Our results suggest that Australia was a carbon sink of −0.41 ± 0.08 PgC yr−1 compared to the prior estimate 0.09 ± 0.20 PgC yr−1 (excluding fossil fuel emissions). Most of the carbon uptake occurred in northern Australia over the savanna ecotype and in the western region over areas with sparse vegetation. Analysis of the enhanced vegetation index (EVI) suggests that the majority of the carbon uptake over the savanna ecosystem was due to an increase of vegetation productivity (positive EVI anomalies) amplified by an anomalous increase of rainfall in summer. Further from this, a slight increase of carbon uptake in Western Australia over areas with sparse vegetation (the largest ecosystem in Australia) was noted due to increased land productivity in the area caused by positive rainfall anomalies. The stronger carbon uptake estimate in this ecosystem was partially due to the land surface model (CABLE-BIOS3) underestimating the gross primary productivity of the ecosystem. To evaluate the accuracy of our carbon flux estimates from OCO-2 retrievals, we compare our posterior concentration fields against the column-averaged carbon retrievals from the Total Carbon Column Observing Network (TCCON) and ground-based in situ monitoring sites located around our domain. The validation analysis against TCCON shows that our system is able to reduce bias mainly in the summer season. Comparison with surface in situ observations was less successful, particularly over oceanic monitoring sites that are strongly affected by oceanic fluxes and subject to less freedom by the inversion. For stations located far from the coast, the comparison with in situ data was more variable, suggesting difficulties matching the column-integrated and surface data by the inversion, most likely linked to model vertical transport. Comparison of our fluxes against the OCO-2 model intercomparison (MIP) was encouraging. The annual carbon uptake estimated by our inversion falls within the ensemble of the OCO-2 MIP global inversions and presents a similar seasonal pattern.
Published: 2021

Catalog

Books, media, physical & digital resources

See catalog results

Searchworks

Select search scope, currently: Articles Catalog books, media & more in Jio Institute collections Articles journal articles & other e-resources

Search

Search Constraints

Refine your results

Search Limiters

Topic

Publication Year Range

Language

Publication Type

Journal

Region

Database

Publisher

213 results on '"Knauer, Jürgen"'

Search Results

Catalog

Select search scope, currently: Articles

Catalog

books, media & more in Jio Institute collections

Articles

journal articles & other e-resources