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Rong Wang

Researcher at Chinese Academy of Sciences

Publications -  19
Citations -  1580

Rong Wang is an academic researcher from Chinese Academy of Sciences. The author has contributed to research in topics: Chromosome 4 & Drainage basin. The author has an hindex of 13, co-authored 19 publications receiving 1354 citations. Previous affiliations of Rong Wang include University of Southampton.

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Flickering gives early warning signals of a critical transition to a eutrophic lake state

TL;DR: The results suggest that if environmental regimes are sufficiently affected by large external impacts that flickering is induced, then early warning signals of transitions in modern social–ecological systems may be stronger, and hence easier to identify, than previously thought.
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Safe and just operating spaces for regional social-ecological systems

TL;DR: In this paper, the authors propose a framework for defining the safe and just operating space for humanity that integrates social wellbeing into the original planetary boundaries concept for application at regional scales, arguing that such a framework can increase the policy impact of the boundaries concept as most governance takes place at the regional rather than planetary scale; contribute to the understanding and dissemination of complexity thinking throughout governance and policy-making; act as a powerful metaphor and communication tool for regional equity and sustainability.
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A fine physical map of the rice chromosome 4

TL;DR: This map is the first example of a rapid and reliable physical mapping on the basis of the integration of the data from two taxonomically related subspecies and showed that the short arm and the pericentromeric region of the long arm are rich in heterochromatin, indicating that this chromosome is likely very difficult to sequence.
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Early warning of critical transitions in biodiversity from compositional disorder

TL;DR: A diagnostic signal of changes in the coefficients of a correlation between compositional disorder and biodiversity is identified, which is robust to unequal time increments that beset the identification of early‐warning signals from other metrics.