Articles | Volume 13, issue 4
https://doi.org/10.5194/esd-13-1677-2022
https://doi.org/10.5194/esd-13-1677-2022
Research article
 | 
05 Dec 2022
Research article |  | 05 Dec 2022

Governing change: a dynamical systems approach to understanding the stability of environmental governance

Nusrat Molla, John DeIonno, Thilo Gross, and Jonathan Herman

Related authors

Coupled effects of observation and parameter uncertainty on urban groundwater infrastructure decisions
Marina R. L. Mautner, Laura Foglia, and Jonathan D. Herman
Hydrol. Earth Syst. Sci., 26, 1319–1340, https://doi.org/10.5194/hess-26-1319-2022,https://doi.org/10.5194/hess-26-1319-2022, 2022
Short summary
Spatially distributed sensitivity of simulated global groundwater heads and flows to hydraulic conductivity, groundwater recharge, and surface water body parameterization
Robert Reinecke, Laura Foglia, Steffen Mehl, Jonathan D. Herman, Alexander Wachholz, Tim Trautmann, and Petra Döll
Hydrol. Earth Syst. Sci., 23, 4561–4582, https://doi.org/10.5194/hess-23-4561-2019,https://doi.org/10.5194/hess-23-4561-2019, 2019
Short summary
Flood and drought hydrologic monitoring: the role of model parameter uncertainty
N. W. Chaney, J. D. Herman, P. M. Reed, and E. F. Wood
Hydrol. Earth Syst. Sci., 19, 3239–3251, https://doi.org/10.5194/hess-19-3239-2015,https://doi.org/10.5194/hess-19-3239-2015, 2015
Short summary
From maps to movies: high-resolution time-varying sensitivity analysis for spatially distributed watershed models
J. D. Herman, J. B. Kollat, P. M. Reed, and T. Wagener
Hydrol. Earth Syst. Sci., 17, 5109–5125, https://doi.org/10.5194/hess-17-5109-2013,https://doi.org/10.5194/hess-17-5109-2013, 2013
Technical Note: Method of Morris effectively reduces the computational demands of global sensitivity analysis for distributed watershed models
J. D. Herman, J. B. Kollat, P. M. Reed, and T. Wagener
Hydrol. Earth Syst. Sci., 17, 2893–2903, https://doi.org/10.5194/hess-17-2893-2013,https://doi.org/10.5194/hess-17-2893-2013, 2013

Related subject area

Management of the Earth system: sustainability science
Disentangling the climate divide with emotional patterns: a network-based mindset reconstruction approach
Roger Cremades and Massimo Stella
Earth Syst. Dynam., 13, 1473–1489, https://doi.org/10.5194/esd-13-1473-2022,https://doi.org/10.5194/esd-13-1473-2022, 2022
Short summary
Lotka's wheel and the long arm of history: how does the distant past determine today's global rate of energy consumption?
Timothy J. Garrett, Matheus R. Grasselli, and Stephen Keen
Earth Syst. Dynam., 13, 1021–1028, https://doi.org/10.5194/esd-13-1021-2022,https://doi.org/10.5194/esd-13-1021-2022, 2022
Short summary
Coupling human and natural systems for sustainability: experience from China's Loess Plateau
Bojie Fu, Xutong Wu, Zhuangzhuang Wang, Xilin Wu, and Shuai Wang
Earth Syst. Dynam., 13, 795–808, https://doi.org/10.5194/esd-13-795-2022,https://doi.org/10.5194/esd-13-795-2022, 2022
Short summary
Groundwater storage dynamics in the world's large aquifer systems from GRACE: uncertainty and role of extreme precipitation
Mohammad Shamsudduha and Richard G. Taylor
Earth Syst. Dynam., 11, 755–774, https://doi.org/10.5194/esd-11-755-2020,https://doi.org/10.5194/esd-11-755-2020, 2020
Short summary
Linking resilience and robustness and uncovering their trade-offs in coupled infrastructure systems
Mehran Homayounfar, Rachata Muneepeerakul, John M. Anderies, and Chitsomanus P. Muneepeerakul
Earth Syst. Dynam., 9, 1159–1168, https://doi.org/10.5194/esd-9-1159-2018,https://doi.org/10.5194/esd-9-1159-2018, 2018
Short summary

Cited articles

Ansell, C.: Collaborative Governance, in: The Oxford Handbook of Governance, edited by: Levi-Faur, D., Oxford University Press, https://doi.org/10.1093/oxfordhb/9780199560530.013.0035, 2012. a
Ansell, C. and Gash, A.: Collaborative Governance in Theory and Practice, J. Publ. Adm. Res. Theor., 18, 543–571, https://doi.org/10.1093/jopart/mum032, 2008. a
Avelino, F.: Theories of Power and Social Change, Power Contestations and Their Implications for Research on Social Change and Innovation, Journal of Political Power, 14, 425–448, https://doi.org/10.1080/2158379X.2021.1875307, 2021. a
Avelino, F. and Wittmayer, J. M.: Shifting Power Relations in Sustainability Transitions: A Multi-actor Perspective, J. Environ. Pol. Plan., 18, 628–649, https://doi.org/10.1080/1523908X.2015.1112259, 2016. a, b
Bache, I., Bartle, I., and Flinders, M.: Multi-Level Governance, Handbook on Theories of Governance, edited by: Ansell, C. and Torfing, J., Edward Elgar Publishing, 486–498, https://doi.org/10.4337/9781782548508.00052, 2016. a
Download
Short summary
How the structure of resource governance systems affects how they respond to change is not yet well understood. We model the stability of thousands of different governance systems, revealing that greater diversity and interdependence among actors are destabilizing, while venue shopping and advocacy organizations are stabilizing. This study suggests that complexity in governance corresponds to responsiveness to change, while providing insight into managing them to balance adaptivity and stability
Altmetrics
Final-revised paper
Preprint