Category Archives: Peer Reviewed Article Review

Red Queens and Black Queens

It sounds like a fantasy novel, but the Red Queen hypothesis is about species competing and co-evolving with one another over long periods of time. It is named after the Red Queen in Through the Looking Glass, who said “it takes all the running you can do, to keep in the same place.” In other words, species have to constantly evolve and adapt, or they go extinct. 

The Black Queen hypothesis is hard for me to understand, but it refers to

the queen of spades in the game Hearts, where the usual strategy is to avoid taking this card. Gene loss can provide a selective advantage by conserving an organism’s limiting resources, provided the gene’s function is dispensable. Many vital genetic functions are leaky, thereby unavoidably producing public goods that are available to the entire community. Such leaky functions are thus dispensable for individuals, provided they are not lost entirely from the community. The BQH predicts that the loss of a costly, leaky function is selectively favored at the individual level and will proceed until the production of public goods is just sufficient to support the equilibrium community; at that point, the benefit of any further loss would be offset by the cost. Evolution in accordance with the BQH thus generates “beneficiaries” of reduced genomic content that are dependent on leaky “helpers,” and it may explain the observed nonuniversality of prototrophy, stress resistance, and other cellular functions in the microbial world.

In other words, organisms can sort of help their rivals, and there can be some survival advantage to this over long periods of evolutionary time. I’m not sure I quite get it, but there it is.

considering local government policy in water risk

This paper is about incorporating local government and utility policies/actions in measures of water risk, which in the past have tended to focus on physical measurements. This makes sense because there are some very water scarce places that have managed their limited resources well, and there are some moderately water scarce places where political and bureaucratic mismanagement of resources have led to crises. This probably makes some sense because when the lack of water is starkly obvious (if your country is a desert for example), it is impossible to ignore whereas when the problem is only going to crop up under extreme conditions, local politicians and less competent bureaucrats can ignore it the vast majority of time and nobody will raise the alarm. Better data might help make these crises more predictable and preventable, rather than seeming to sneak up out of nowhere.

Mapping Public Water Management by Harmonizing and Sharing Corporate Water Risk Information

by Colin Strong, Paul Reig, Julian Köbel and Cindy Noe – March 2018

In response to water crises across the globe, data on biophysical conditions associated with water risk have increasingly been collected and understood. However, a complete assessment of water risk also requires an understanding of public water management. Currently there is a lack of global comparable data on public water management, leading to incomplete assessments of risk and suboptimal risk mitigation activities. To fill in that gap in data, this Technical Note proposes the creation of a global comparable geodatabase of public water management indicators to spur tangible improvements in water management. The geodatabase will be populated by crowdsourcing data through the risk assessments of multinational companies that are incentivized to share anonymized public water management as an innovative risk reduction practice.

Antarctic ice sheet melt accelerating

The rate of melting in Antarctica is accelerating, according to a new study in Nature.

…it lost 2,720 ± 1,390 billion tonnes of ice between 1992 and 2017, which corresponds to an increase in mean sea level of 7.6 ± 3.9 millimetres (errors are one standard deviation). Over this period, ocean-driven melting has caused rates of ice loss from West Antarctica to increase from 53 ± 29 billion to 159 ± 26 billion tonnes per year; ice-shelf collapse has increased the rate of ice loss from the Antarctic Peninsula from 7 ± 13 billion to 33 ± 16 billion tonnes per year.

hurricanes slowing down

Hurricanes appear to be slowing down. This might sound like a good thing, but no it means they could be dropping more rain in any one place, like Harvey did on Houston. In Nature:

 As the Earth’s atmosphere warms, the atmospheric circulation changes. These changes vary by region and time of year, but there is evidence that anthropogenic warming causes a general weakening of summertime tropical circulation1–8. Because tropical cyclones are carried along within their ambient environmental wind, there is a plausible a priori expectation that the translation speed of tropical cyclones has slowed with warming. In addition to circulation changes, anthropogenic warming causes increases in atmospheric water-vapour capacity, which are generally expected to increase precipitation rates9. Rain rates near the centres of tropical cyclones are also expected to increase with increasing global temperatures10–12. The amount of tropical-cyclone-related rainfall that any given local area will experience is proportional to the rain rates and inversely proportional to the translation speeds of tropical cyclones. Here I show that tropical-cyclone translation speed has decreased globally by 10 per cent over the period 1949–2016, which is very likely to have compounded, and possibly dominated, any increases in local rainfall totals that may have occurred as a result of increased tropical-cyclone rain rates. The magnitude of the slowdown varies substantially by region and by latitude, but is generally consistent with expected changes in atmospheric circulation forced by anthropogenic emissions. Of particular importance is the slowdown of 30 per cent and 20 per cent over land areas affected by western North Pacific and North Atlantic tropical cyclones, respectively, and the slowdown of 19 per cent over land areas in the Australian region. The unprecedented rainfall totals associated with the ‘stall’ of Hurricane Harvey13–15 over Texas in 2017 provide a notable example of the relationship between regional rainfall amounts and tropical-cyclone translation speed. Any systematic past or future change in the translation speed of tropical cyclones, particularly over land, is therefore highly relevant when considering potential changes in local rainfall totals.

stranded fossil fuel assets

An article from Cambridge (University, not Analytica) in Nature Climate Change estimates potential losses if renewables were to lead to a sudden drop in demand for fossil fuels.

Our analysis suggests that part of the SFFA would occur as a result of an already ongoing technological trajectory, irrespective of whether or not new climate policies are adopted; the loss would be amplified if new climate policies to reach the 2 °C target of the Paris Agreement are adopted and/or if low-cost producers (some OPEC countries) maintain their level of production (‘sell out’) despite declining demand; the magnitude of the loss from SFFA may amount to a discounted global wealth loss of US$1–4 trillion; and there are clear distributional impacts, with winners (for example, net importers such as China or the EU) and losers (for example, Russia, the United States or Canada, which could see their fossil fuel industries nearly shut down), although the two effects would largely offset each other at the level of aggregate global GDP.

So coal subsidies might be “making America Great Again”, but not for long. And they might not even have the desired effect according to this article, which argues they would primarily benefit nuclear. And solar energy, it turns out, is a growth industry creating jobs in many Republican districts.

 

climate change is going to cause some economic damage

A letter in Nature says climate change is going to cause economic damage, and meeting the UN’s emissions targets would reduce that damage. Here’s the abstract, and the article itself is open access.

 International climate change agreements typically specify global warming thresholds as policy targets1, but the relative economic benefits of achieving these temperature targets remain poorly understood2,3. Uncertainties include the spatial pattern of temperature change, how global and regional economic output will respond to these changes in temperature, and the willingness of societies to trade present for future consumption. Here we combine historical evidence4 with national-level climate5 and socioeconomic6 projections to quantify the economic damages associated with the United Nations (UN) targets of 1.5 °C and 2 °C global warming, and those associated with current UN national-level mitigation commitments (which together approach 3 °C warming7). We find that by the end of this century, there is a more than 75% chance that limiting warming to 1.5 °C would reduce economic damages relative to 2 °C, and a more than 60% chance that the accumulated global benefits will exceed US$20 trillion under a 3% discount rate (2010 US dollars). We also estimate that 71% of countries—representing 90% of the global population—have a more than 75% chance of experiencing reduced economic damages at 1.5 °C, with poorer countries benefiting most. Our results could understate the benefits of limiting warming to 1.5 °C if unprecedented extreme outcomes, such as large-scale sea level rise8, occur for warming of 2 °C but not for warming of 1.5 °C. Inclusion of other unquantified sources of uncertainty, such as uncertainty in secular growth rates beyond that contained in existing socioeconomic scenarios, could also result in less precise impact estimates. We find considerably greater reductions in global economic output beyond 2 °C. Relative to a world that did not warm beyond 2000–2010 levels, we project 15%–25% reductions in per capita output by 2100 for the 2.5–3 °C of global warming implied by current national commitments7, and reductions of more than 30% for 4 °C warming. Our results therefore suggest that achieving the 1.5 °C target is likely to reduce aggregate damages and lessen global inequality, and that failing to meet the 2 °C target is likely to increase economic damages substantially.

My head gets just a little twisted around thinking of reduced damages. This means the economy, and presumably our grandchildren’s quality of life, will be worse than it could have been if we started making an effort and investment now. But this doesn’t tell us if they will be absolutely better or worse off in a “future baseline” scenario compared to now, just that they will be worse off relative to that future baseline if we don’t take action than if we do. I think the various (very eye catching) graphs in this paper probably contain the answers to these questions, but I didn’t get it after an admittedly short few minutes staring at them, and I admit I didn’t read every word in the paper.

The other thing here is that we are taking a given climate scenario (1.5 or 3 degrees C warming for example), and talking about the benefits of those two future scenarios against each other. What I don’t see is the cost to the current generation if we choose to make this sacrifice, or even if it is a sacrifice at all. What investment would we have to make to achieve 1.5 vs. 3 degrees, and are there alternative investments we could make that could have a bigger payoff. I am not arguing against climate action, I am just questioning how this paper is communicating about costs and benefits in the present and in the future.

cognitive bias

This open access article has a nice summary of cognitive bias research.

Black swans, cognition, and the power of learning from failure

Failure carries undeniable stigma and is difficult to confront for individuals, teams, and organizations. Disciplines such as commercial and military aviation, medicine, and business have long histories of grappling with it, beginning with the recognition that failure is inevitable in every human endeavor. Although conservation may arguably be more complex, conservation professionals can draw on the research and experience of these other disciplines to institutionalize activities and attitudes that foster learning from failure, whether they are minor setbacks or major disasters. Understanding the role of individual cognitive biases, team psychological safety, and organizational willingness to support critical self‐examination all contribute to creating a cultural shift in conservation to one that is open to the learning opportunity that failure provides. This new approach to managing failure is a necessary next step in the evolution of conservation effectiveness.

dystopian Schumpeter meets Keynes

This article is about a serious attempt to consider climate change in a traditional economic model. Where does the dystopian part come in? Well, it sounds like the model suggests we are not going to innovate our way out of the consequences of climate change.

For these reasons, we develop the Dystopian Schumpeter meeting Keynes (DSK) model, which is the first attempt to provide a fully-fledged agent-based integrated assessment framework. It builds on Dosi et al. (2010, 2013, 2016) and extends the Keynes+Schumpeter (K+S) family of models, which account for endogenous growth, business cycles and crises. The model is composed by heterogeneous firms belonging to a capital-good industry and to a consumption-good sector. Firms are fed by an energy sector, which employ dirty or green power plants. The production activities of energy and manufacturing firms lead to CO2 emissions, which increase the Earth surface temperature in a non-linear way as in Sterman et al. (2013). Increasing temperatures trigger micro stochastic climate damages impacting in a heterogeneous way on workers’ labour productivity, and on the energy efficiency, capital stock and inventories of firms.

The DSK model accounts both for frequent and mild climate shocks and low-probability but extreme climate events. Technical change occurs both in the manufacturing and energy sectors. Innovation determines the cost of energy produced by dirty and green technologies, which, in turn, affect the energy-technology production mix and the total amount of CO2 emissions. In that, structural change of the economy is intimately linked to the climate dynamics. At the same time, climate shocks affect economic growth, business cycles, technical-change trajectories, green-house gas emissions, and global temperatures…

Simulation results show that the DSK model is able to replicate a wide array of micro and macro-economic stylized facts and climate-related statistical regularities. Moreover, the exploration of different climate shock scenarios reveals that the impact of climate change on economic performances is substantial, but highly heterogeneous, depending on the type of climate damages. More specifcally, climate shocks to labour productivity and capital stocks lead to the largest output losses and the highest economic instability, respectively. We also
find that the ultimate macroeconomic damages emerging from the aggregation of agent-level shocks are more severe than those obtained by standard IAMs, with the emergence of tipping-points and irreversible catastrophic events.

abrupt ecological change

Being able to forecast abrupt ecological change might be a good idea.

Abrupt Change in Ecological Systems: Inference and Diagnosis

Abrupt ecological changes are, by definition, those that occur over short periods of time relative to typical rates of change for a given ecosystem. The potential for such changes is growing due to anthropogenic pressures, which challenges the resilience of societies and ecosystems. Abrupt ecological changes are difficult to diagnose because they can arise from a variety of circumstances, including rapid changes in external drivers (e.g., climate, or resource extraction), nonlinear responses to gradual changes in drivers, and interactions among multiple drivers and disturbances. We synthesize strategies for identifying causes of abrupt ecological change and highlight instances where abrupt changes are likely. Diagnosing abrupt changes and inferring causation are increasingly important as society seek to adapt to rapid, multifaceted environmental changes.

how fish will move under climate change

It seems to me that fish might be able to adapt to climate change a little easier than other species, because they can just swim to a new part of the ocean that is now like what their old part of the ocean used to be like.

Projecting shifts in thermal habitat for 686 species on the North American continental shelf

Recent shifts in the geographic distribution of marine species have been linked to shifts in preferred thermal habitats. These shifts in distribution have already posed challenges for living marine resource management, and there is a strong need for projections of how species might be impacted by future changes in ocean temperatures during the 21st century. We modeled thermal habitat for 686 marine species in the Atlantic and Pacific oceans using long-term ecological survey data from the North American continental shelves. These habitat models were coupled to output from sixteen general circulation models that were run under high (RCP 8.5) and low (RCP 2.6) future greenhouse gas emission scenarios over the 21st century to produce 32 possible future outcomes for each species. The models generally agreed on the magnitude and direction of future shifts for some species (448 or 429 under RCP 8.5 and RCP 2.6, respectively), but strongly disagreed for other species (116 or 120 respectively). This allowed us to identify species with more or less robust predictions. Future shifts in species distributions were generally poleward and followed the coastline, but also varied among regions and species. Species from the U.S. and Canadian west coast including the Gulf of Alaska had the highest projected magnitude shifts in distribution, and many species shifted more than 1000 km under the high greenhouse gas emissions scenario. Following a strong mitigation scenario consistent with the Paris Agreement would likely produce substantially smaller shifts and less disruption to marine management efforts. Our projections offer an important tool for identifying species, fisheries, and management efforts that are particularly vulnerable to climate change impacts.