Updated assessment suggests >1.5°C global warming could trigger multiple climate tipping points

2021 ◽  
Author(s):  
David Armstrong McKay ◽  
Arie Staal ◽  
Jesse F Abrams ◽  
Ricarda Winkelmann ◽  
Boris Sakschewski ◽  
...  
2021 ◽  
Vol 03 (04) ◽  
Author(s):  
J. Michael T. Thompson

This brief article is directed towards young readers, perhaps in their teens, who might be thinking about their future careers and the paths that they might like to follow in later life. I give them for consideration an outline of the fun and excitement that I have myself experienced in scientific research, and encourage them to follow me. To do this, I start by giving some remarks about my own early life and its choices. I then identify some of the decisions and lucky breaks that led to my main scientific work on the theories of stability, nonlinear dynamics and chaos. I point to some new frontiers where knowledge of the physical sciences is spreading into wider areas such as the bio-mechanics of DNA and the prediction of tipping points that could dramatically increase global warming. Finally I give some detailed advice that could be useful as you hopefully enter the thrilling world of scientific research.


Author(s):  
John Hassler ◽  
Per Krusell ◽  
Conny Olovsson

Abstract There is a scientific consensus that human activities, in the form of emissions of carbon dioxide into the atmosphere, cause global warming. These emissions mostly occur in the marketplace, i.e., they are undertaken by private individuals and firms. Governments seeking to curb emissions thus need to design policies that influence market behavior in the direction of their goals. Economists refer to Pigou taxation as “the” solution here, since the case of global warming can be seen as a pure (negative) externality. We agree. However, given the reluctance of policymakers to agree with us, there is an urgent need to consider, and compare, suboptimal policies. In this paper we look at one such instance: setting a global tax on carbon at the wrong level. How costly are different errors? Since there is much uncertainty about how much climate change there will be, and how damaging it is when it occurs, ex-post errors will most likely be made. We compare different kinds of errors qualitatively and quantitatively and find that policy errors based on over-pessimistic views on climate change are much less costly than those made based on over-optimism. This finding is an inherent feature of standard integrated assessment models, even though these models do not feature tipping points or strong linearities.


2021 ◽  
Author(s):  
Erik Mackie

There is mounting evidence that some parts of the Earth system may be at risk of abrupt and potentially irreversible changes, driven by the cumulative impact of incremental global warming. Such a non-linear transition could be triggered if a critical threshold in global temperature – a “tipping point” – is crossed, when a small change could push a system into a completely new state, with potentially catastrophic impacts. In this technical briefing, we will first define tipping points and tipping elements, then explore several tipping elements in more detail and discuss the questions of abruptness, irreversibility, timescales and uncertainties for each of them. We also investigate the possibility of developing early warning systems for tipping points, and the risk of cascades of interacting tipping points, where one tipping point could trigger another.


2019 ◽  
Vol 3 (2) ◽  
pp. 221-231 ◽  
Author(s):  
Rebecca Millington ◽  
Peter M. Cox ◽  
Jonathan R. Moore ◽  
Gabriel Yvon-Durocher

Abstract We are in a period of relatively rapid climate change. This poses challenges for individual species and threatens the ecosystem services that humanity relies upon. Temperature is a key stressor. In a warming climate, individual organisms may be able to shift their thermal optima through phenotypic plasticity. However, such plasticity is unlikely to be sufficient over the coming centuries. Resilience to warming will also depend on how fast the distribution of traits that define a species can adapt through other methods, in particular through redistribution of the abundance of variants within the population and through genetic evolution. In this paper, we use a simple theoretical ‘trait diffusion’ model to explore how the resilience of a given species to climate change depends on the initial trait diversity (biodiversity), the trait diffusion rate (mutation rate), and the lifetime of the organism. We estimate theoretical dangerous rates of continuous global warming that would exceed the ability of a species to adapt through trait diffusion, and therefore lead to a collapse in the overall productivity of the species. As the rate of adaptation through intraspecies competition and genetic evolution decreases with species lifetime, we find critical rates of change that also depend fundamentally on lifetime. Dangerous rates of warming vary from 1°C per lifetime (at low trait diffusion rate) to 8°C per lifetime (at high trait diffusion rate). We conclude that rapid climate change is liable to favour short-lived organisms (e.g. microbes) rather than longer-lived organisms (e.g. trees).


2011 ◽  
Author(s):  
David P. Nalbone ◽  
Amanda Tuohy ◽  
Kelly Jerome ◽  
Jeremy Boss ◽  
Andrew Fentress ◽  
...  

2008 ◽  
Author(s):  
Michaela Huber ◽  
Leaf Van Boven ◽  
Joshua A. Morris

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