Challenges and opportunities for modeling coupled human and natural systems

被引:22
作者
Li, Yan [1 ,2 ]
Sang, Shan [1 ,2 ]
Mote, Safa [3 ,4 ]
Rivas, Jorge
Kalnay, Eugenia [3 ,4 ]
机构
[1] Beijing Normal Univ, State Key Lab Earth Surface Proc & Resources Ecol, Beijing, Peoples R China
[2] Beijing Normal Univ, Inst Land Surface Syst & Sustainable Dev, Fac Geog Sci, Beijing, Peoples R China
[3] Univ Maryland, Dept Atmospher & Ocean Sci, College Pk, MD USA
[4] Univ Maryland, Inst Phys Sci & Technol, College Pl, MD USA
基金
中国国家自然科学基金;
关键词
EARTH;
D O I
10.1093/nsr/nwad054
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
With the growing recognition of coupled human and natural systems (CHANS), modeling CHANS with two-way feedbacks has become a frontier research area and a critical tool to achieve sustainability. The challenges in CHANS modeling and opportunities to advance its science and application to promote the sustainability of CHANS are discussed in this paper.
引用
收藏
页数:4
相关论文
共 15 条
[1]   Agent-Based Modeling in Coupled Human and Natural Systems (CHANS): Lessons from a Comparative Analysis [J].
An, Li ;
Zvoleff, Alex ;
Liu, Jianguo ;
Axinn, William .
ANNALS OF THE ASSOCIATION OF AMERICAN GEOGRAPHERS, 2014, 104 (04) :723-745
[2]   Integrated human-earth system modeling-state of the science and future directions [J].
Calvin, Katherine ;
Bond-Lamberty, Ben .
ENVIRONMENTAL RESEARCH LETTERS, 2018, 13 (06)
[3]   Bidirectional coupling between the Earth and human systems is essential for modeling sustainability [J].
Fu, Bojie ;
Li, Yan .
NATIONAL SCIENCE REVIEW, 2016, 3 (04) :397-398
[4]   Human social sensing is an untapped resource for computational social science [J].
Galesic, Mirta ;
de Bruin, Wandi Bruine ;
Dalege, Jonas ;
Feld, Scott L. ;
Kreuter, Frauke ;
Olsson, Henrik ;
Prelec, Drazen ;
Stein, Daniel L. ;
van Der Does, Tamara .
NATURE, 2021, 595 (7866) :214-222
[5]   Integrated environmental modeling: A vision and roadmap for the future [J].
Laniak, Gerard F. ;
Olchin, Gabriel ;
Goodall, Jonathan ;
Voinov, Alexey ;
Hill, Mary ;
Glynn, Pierre ;
Whelan, Gene ;
Geller, Gary ;
Quinn, Nigel ;
Blind, Michiel ;
Peckham, Scott ;
Reaney, Sim ;
Gaber, Noha ;
Kennedy, Robert ;
Hughes, Andrew .
ENVIRONMENTAL MODELLING & SOFTWARE, 2013, 39 :3-23
[6]   Novel hybrid coupling of ecohydrology and socioeconomy at river basin scale: A watershed system model for the Heihe River basin [J].
Li, Xin ;
Zhang, Ling ;
Zheng, Yi ;
Yang, Dawen ;
Wu, Feng ;
Tian, Yong ;
Han, Feng ;
Gao, Bing ;
Li, Hongyi ;
Zhang, Yanlin ;
Ge, Yingchun ;
Cheng, Guodong ;
Fu, Bojie ;
Xia, Jun ;
Song, Changqing ;
Zheng, Chunmiao .
ENVIRONMENTAL MODELLING & SOFTWARE, 2021, 141
[7]   Modeling sustainability: population, inequality, consumption, and bidirectional coupling of the Earth and Human Systems [J].
Motesharrei, Safa ;
Rivas, Jorge ;
Kalnay, Eugenia ;
Asrar, Ghassem R. ;
Busalacchi, Antonio J. ;
Cahalan, Robert F. ;
Cane, Mark A. ;
Colwell, Rita R. ;
Feng, Kuishuang ;
Franklin, Rachel S. ;
Hubacek, Klaus ;
Miralles-Wilhelm, Fernando ;
Miyoshi, Takemasa ;
Ruth, Matthias ;
Sagdeev, Roald ;
Shirmohammadi, Adel ;
Shukla, Jagadish ;
Srebric, Jelena ;
Yakovenko, Victor M. ;
Zeng, Ning .
NATIONAL SCIENCE REVIEW, 2016, 3 (04) :470-494
[8]   T21 China 2050: A Tool for National Sustainable Development Planning [J].
Qu, Weishuang ;
Shi, Wenzhao ;
Zhang, Junze ;
Liu, Tong .
GEOGRAPHY AND SUSTAINABILITY, 2020, 1 (01) :33-46
[9]   Deep learning and process understanding for data-driven Earth system science [J].
Reichstein, Markus ;
Camps-Valls, Gustau ;
Stevens, Bjorn ;
Jung, Martin ;
Denzler, Joachim ;
Carvalhais, Nuno ;
Prabhat .
NATURE, 2019, 566 (7743) :195-204
[10]   Modelling feedbacks between human and natural processes in the land system [J].
Robinson, Derek T. ;
Di Vittorio, Alan ;
Alexander, Peter ;
Arneth, Almut ;
Barton, C. Michael ;
Brown, Daniel G. ;
Kettner, Albert ;
Lemmen, Carsten ;
O'Neill, Brian C. ;
Janssen, Marco ;
Pugh, Thomas A. M. ;
Rabin, Sam S. ;
Rounsevell, Mark ;
Syvitski, James P. ;
Ullah, Isaac ;
Verburg, Peter H. .
EARTH SYSTEM DYNAMICS, 2018, 9 (02) :895-914