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cross-posted from: https://slrpnk.net/post/16538477

We are in a terrible situation and going into a worse situation,” said Angela Rasmussen, a virologist at the University of Saskatchewan in Canada. “I don’t know if the bird flu will become a pandemic, but if it does, we are screwed.”

Although mean temperatures are increasing in the US, studies have found that climate change has been linked with more frequent episodes of severe winter weather in the US over the past few decades, which may in turn be associated with increased cold-related mortality.1-3 However, little is known about the burden of cold-related mortality and how this varies across different population groups. This study assessed trends in cold-related mortality overall and by demographic characteristics between 1999 and 2022.

Could have done without the Trump=Hitler bit

Meh.

Rising temperatures, rising risks

Climate change brings with it the increasing risk of extinction across species and systems. Marine species face particular risks related to water warming and oxygen depletion. Penn and Deutsch looked at extinction risk for marine species across climate warming and as related to ecophysiological limits (see the Perspective by Pinsky and Fredston). They found that under business-as-usual global temperature increases, marine systems are likely to experience mass extinctions on par with past great extinctions based on ecophysiological limits alone. Drastically reducing global emissions, however, offers substantial protection, which emphasizes a need for rapid action to prevent possibly catastrophic marine extinctions. —SNV

Abstract

Global warming threatens marine biota with losses of unknown severity. Here, we quantify global and local extinction risks in the ocean across a range of climate futures on the basis of the ecophysiological limits of diverse animal species and calibration against the fossil record. With accelerating greenhouse gas emissions, species losses from warming and oxygen depletion alone become comparable to current direct human impacts within a century and culminate in a mass extinction rivaling those in Earth’s past. Polar species are at highest risk of extinction, but local biological richness declines more in the tropics. Reversing greenhouse gas emissions trends would diminish extinction risks by more than 70%, preserving marine biodiversity accumulated over the past ~50 million years of evolutionary history.

So let's assume we need 2 ha/person or more agricultural land post-fossil. Soil loss/aridification/chaotic climate could mean a lot more than that.

Abstract

The 2015 Paris agreement was established to limit Greenhouse gas (GHG) global warming below 1.5°C above preindustrial era values. Knowledge of climate sensitivity to GHG levels is central for formulating effective climate policies, yet its exact value is shroud in uncertainty. Climate sensitivity is quantitatively expressed in terms of Equilibrium Climate Sensitivity (ECS) and Transient Climate Response (TCR), estimating global temperature responses after an abrupt or transient doubling of CO2. Here, we represent the complex and highly-dimensional behavior of modelled climate via low-dimensional emergent networks to evaluate Climate Sensitivity (netCS), by first reconstructing meaningful components describing regional subprocesses, and secondly inferring the causal links between these to construct causal networks. We apply this methodology to Sea Surface Temperature (SST) simulations and investigate two different metrics in order to derive weighted estimates that yield likely ranges of ECS (2.35–4.81°C) and TCR (1.53-2.60°C). These ranges are narrower than the unconstrained distributions and consistent with the ranges of the IPCC AR6 estimates. More importantly, netCS demonstrates that SST patterns (at “fast” timescales) are linked to climate sensitivity; SST patterns over the historical period exclude median sensitivity but not low-sensitivity (ECS < 3.0°C) or very high sensitivity (ECS ≥ 4.5°C) models.