van Nes, Egbert H.

Early-warning signals for critical transitions

Scheffer, M., Bascompte, J., Brock, W. A., Brovkin, V., Carpenter, S. R., Dakos, V., Held, H., van Nes, E. H., Rietkerk, M., & Sugihara, G. (2009) · Nature

Ecosystem dynamics and resilienceMathematical and Theoretical Epidemiology and Ecology Models

Cited by 4,854

Forest-rainfall cascades buffer against drought across the Amazon

Staal, A., Tuinenburg, O. A., Bosmans, J. H. C., Holmgren, M., van Nes, E. H., Scheffer, M., Zemp, D. C., & Dekker, S. C. (2018) · Nature Climate Change

Plant Water Relations and Carbon DynamicsClimate variability and models

Cited by 409

Hysteresis of tropical forests in the 21st century

Staal, A., Fetzer, I., Wang-Erlandsson, L., Bosmans, J. H. C., Dekker, S. C., van Nes, E. H., Rockström, J., & Tuinenburg, O. A. (2020) · Nature Communications

Ecosystem dynamics and resilienceClimate variability and models

Cited by 200

Causal feedbacks in climate change

van Nes, E. H., Scheffer, M., Brovkin, V., Lenton, T. M., Ye, H., Deyle, E., & Sugihara, G. (2015) · Nature Climate Change

Geology and Paleoclimatology ResearchClimate variability and models

Cited by 170

Floodplains as an Achilles’ heel of Amazonian forest resilience

Flores, B. M., Holmgren, M., Xu, C., van Nes, E. H., Jakovac, C. C., Mesquita, R. C. G., & Scheffer, M. (2017) · Proceedings of the National Academy of Sciences

Fire effects on ecosystemsEcosystem dynamics and resilience

Cited by 142

Advancing the Network Theory of Mental Disorders: A Computational Model of Panic Disorder

Robinaugh, D., Haslbeck, J. M. B., Waldorp, L., Kossakowski, J. J., Fried, E. I., Millner, A., McNally, R. J., Ryan, O., de Ron, J., van der Maas, H., et al. (2019)

Mental Health Research TopicsAnxiety, Depression, Psychometrics, Treatment, Cognitive Processes

Cited by 120

Climate reddening increases the chance of critical transitions

van der Bolt, B., van Nes, E. H., Bathiany, S., Vollebregt, M. E., & Scheffer, M. (2018) · Nature Climate Change

Ecosystem dynamics and resilienceClimate variability and models

Cited by 85