Climate reddening increases the chance of critical transitions
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The intensification of the hydrological cycle as a result of warming of the atmosphere is well understood, and the effect has been detected in climatic time series for several decades.
“But the intensification of the hydrological cycle as a result of warming of the atmosphere is well understood, and the effect has been detected in climatic time series for several decades.”
From Restoring Degraded Lands (2021) · cites this paper as [83]
The supplied passages are bibliographic material, not discussion of the hydrological cycle. Searches of the indexed copy for atmospheric warming, hydrological-cycle intensification, and detection in climatic time series found no passage addressing either part of the claim. (LLM, conf=0.72)
Experimental — accuracy not yet measuredEmpirical evidence and model studies indicate a steeper increase in precipitation intensity than the Clausius-Clapeyron rate of 6-7% per degree K, particularly in dry regions.
“Theoretically, the intensification is assumed to be at least linearly linked to warming at a rate of 6-7% per degree K (the Clausius-Clapeyron response), but empirical evidence and model studies indicate a steeper increase in precipitation intensity, particularly in dry regions (82,83).”
From Restoring Degraded Lands (2021) · cites this paper as [83]
The indexed passages labeled Abstract contain bibliographic information rather than the paper’s substantive text. Searches for precipitation intensity, the Clausius–Clapeyron rate, and dry regions found no passage addressing the claim, so our copy cannot verify it. (LLM, conf=0.72)
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Cites
What Limits Trees in C<sub>4</sub> Grasslands and Savannas?
Bond, W. J. (2008) · Annual Review of Ecology, Evolution, and Systematics · doi:10.1146/annurev.ecolsys.39.110707.173411 · Cited by 909 · see citing works
Climate not to blame for African civil wars
Buhaug, H. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1005739107 · Cited by 429 · see citing works
Climate, conflict, and social stability: what does the evidence say?
Hsiang, S. M., & Burke, M. (2014) · Climatic Change · doi:10.1007/s10584-013-0868-3 · Cited by 342 · see citing works
Extreme temperatures and violence
Raleigh, C., Linke, A., & O'Loughlin, J. (2014) · Nature Climate Change · doi:10.1038/nclimate2101 · Cited by 88 · see citing works
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Arneth, A., Olsson, L., Cowie, A., Erb, K.-H., Hurlbert, M., Kurz, W. A., Mirzabaev, A., & Rounsevell, M. D. A. (2021) · Annual Review of Environment and Resources · doi:10.1146/annurev-environ-012320-054809 · Cited by 106 · see citing works
- Authors
- van der Bolt, B., van Nes, E. H., Bathiany, S., Vollebregt, M. E., & Scheffer, M.
- Affiliations
- Wageningen University & Research (NL)
- Venue
- Nature Climate Change
- Published
- 2018-05-30
- Volume
- 8
- Issue
- 6
- Pages
- 478-484
- ISSN
- 1758-678X (ISSN-L)
- 1758-6798
- OpenAlex
- W2804086542
- Cited by
- 85
- References
- 4
- Citations by year
- 2026: 6 · 2025: 8 · 2024: 5 · 2023: 17 · 2022: 19 · 2021: 10 · 2020: 8 · 2019: 9 · 2018: 3
- FWCI
- 4.39
- Type
- journal article
- Language
- en
- Open access
- green
- research.wur.nl
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Nature Climate Change (publishedVersion)
- Socio-Environmental Systems Modeling (acceptedVersion)
- Data Archiving and Networked Services (DANS) (submittedVersion)
- Funders
- European Commission
- Topics
- Physical Sciences › Environmental Science › Global and Planetary Change › Ecosystem dynamics and resilience
- Physical Sciences › Environmental Science › Global and Planetary Change › Climate variability and models
- Physical Sciences › Environmental Science › Global and Planetary Change › Sustainability and Climate Change Governance
- Keywords
- tipping points, climate memory, temporal autocorrelation, climate variability, climate change, forests, coral reefs, poverty trap, violent conflict, ice sheet instability
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
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