Category Archives: Peer Reviewed Article Review

Greenland ice shelves

The floating ice shelves holding back the rest of the ice on Greenland are in worse shape than previously thought, according to this article. The article says the ice in this area is enough to raise global sea level by about 2 m. From a quick skim, I didn’t get a sense of how long the authors think that might take to happen, other than “long term”.

more evidence for rapid intensification

Anecdotally, we have seen an increase in rapid intensification of hurricanes in recent years. A “new study” (which the journalist does not name or link to, a pet peeve of mine) confirms this using data.

The study looked at 830 Atlantic tropical cyclones since 1971. It found that in the last 20 years, 8.1% of the time storms powered from a Category 1 minor storm to a major hurricane in just 24 hours. That happened only 3.2% of the time from 1971 to 1990, according to a study in the journal Scientific Reports. Category 1 hurricanes top out at 95 mph (153 kph) and a hurricane has to have at least 111 mph (178 kph) winds to become major.

When storms rapidly intensify, especially as they near land, it makes it difficult for people in the storm’s path to decide on what they should do — evacuate or hunker down. It also makes it harder for meteorologists to predict how bad it will be and for emergency managers to prepare, Garner and other scientists said.

Associated Press

Insurance companies take note of these things, and recall that the National Flood Insurance Program does not cover wind damage. If you live near the coast, this could be catastrophic for you. I predict the government will have to start picking up more and more of the tab for storms and other natural disasters over time, and this will gradually make us all a little poorer as we can’t afford to have other nice things, even if we don’t live near the coast.

the world is drying out

Increased carbon dioxide concentrations have spurred plant growth up to a point, but at the same time increased temperatures have led to increased evaporation and transpiration (evaporation of water from plants to the atmosphere). The net result, if I understand this article in Science correctly, is that the drying effect now more than offsets the increased carbon uptake effect, so the growth rate of plants is no longer increasing as carbon dioxide concentrations increase.

accuracy of a model vs. its “decisional quality”

I like the way the abstract of this paper distinguishes between (1) the accuracy of a model as measured by comparing it to physical observations (always assuming those are an accurate or at least unbiased measurement of the true state of the universe and (2) the appropriateness of a model to be used in decision making. I find these concepts very, very difficult to get across even to scientists and engineers.

Ecological forecasting models: Accuracy versus decisional quality

We consider here forecasting models in ecology or in agronomy, aiming at decision making based upon exceeding a quantitative threshold. We address specifically how to link the intrinsic quality of the model (its accuracy) with its decisional quality, ie its capacity to avoid false decisions and their associated costs. The accuracy of the model can be evaluated by the [Greek symbol rho – I don’t know what they mean by this just from reading the abstract] of the regression of observed values versus estimated ones or by the determination coefficient. We show that the decisional quality depends not only of this accuracy but also of the threshold retained to make the decision as well as on the state of nature. The two kinds of decisional errors consists either in deciding no action while an action is required (false negatives) or to act while it is useless (false positives). We also prove that the costs associated to those decisions depend also both of the accuracy of the model and of the value of the decision threshold.

Ecological Modeling

Exxon knew

Exxon’s climate science was as good as that of government and academic scientists as long ago as the 1970s. They accurately predicted what was going to happen. And then they publicly lied and lied and lied about it. This is one of the most evil things ever done in the history of our world, because it affects every single one of the billions of people on the planet, and tens or hundreds or trillions yet to be born. And they knew exactly what they were doing. These people knowingly conspired to ruin a planet where every living being we know of in this universe live. And they did it for short term wealth and power, I guess.

On the basis of company records, we quantitatively evaluated all available global warming projections documented by—and in many cases modeled by—Exxon and ExxonMobil Corp scientists between 1977 and 2003. We find that most of their projections accurately forecast warming that is consistent with subsequent observations. Their projections were also consistent with, and at least as skillful as, those of independent academic and government models. Exxon and ExxonMobil Corp also correctly rejected the prospect of a coming ice age, accurately predicted when human-caused global warming would first be detected, and reasonably estimated the “carbon budget” for holding warming below 2°C. On each of these points, however, the company’s public statements about climate science contradicted its own scientific data.

Science

What climate tipping points are imminent?

According to a new Nature article (which this AP story does not link to directly), at 1.5 degrees Celsius of warming,

An international team of scientists looked at 16 climate tipping points — when a warming side effect is irreversible, self-perpetuating and major — and calculated rough temperature thresholds at which they are triggered. None of them are considered likely at current temperatures, though a few are possible. But with only a few more tenths of a degree of warming from now, at 1.5 degrees Celsius (2.7 degrees Fahrenheit) warming since pre-industrial times, four move into the likely range, according to a study in Thursday’s journal Science.

AP

The coral reefs will affect fishermen around the world in the very near future. The others, even though they are irreversible, may play out slowly even over centuries, according to the article.

how much food can we grow in cities?

Well, lots of salad apparently.

How Much Food Can We Grow in Urban Areas? Food Production and Crop Yields of Urban Agriculture: A Meta-Analysis

Urban agriculture can contribute to food security, food system resilience and sustainability at the city level. While studies have examined urban agricultural productivity, we lack systemic knowledge of how agricultural productivity of urban systems compares to conventional agriculture and how productivity varies for different urban spaces (e.g., allotments vs. rooftops vs. indoor farming) and growing systems (e.g., hydroponics vs. soil-based agriculture). Here, we present a global meta-analysis that seeks to quantify crop yields of urban agriculture for a broad range of crops and explore differences in yields for distinct urban spaces and growing systems. We found 200 studies reporting urban crop yields, from which 2,062 observations were extracted. Lettuces and chicories were the most studied urban grown crops. We observed high agronomic suitability of urban areas, with urban agricultural yields on par with or greater than global average conventional agricultural yields. “Cucumbers and gherkins” was the category of crops for which differences in yields between urban and conventional agriculture were the greatest (17 kg m−2 cycle−1 vs. 3.8 kg m−2 cycle−1). Some urban spaces and growing systems also had a significant effect on specific crop yields (e.g., tomato yields in hydroponic systems were significantly greater than tomato yields in soil-based systems). This analysis provides a more robust, globally relevant evidence base on the productivity of urban agriculture that can be used in future research and practice relating to urban agriculture, especially in scaling-up studies aiming to estimate the self-sufficiency of cities and towns and their potential to meet local food demand.

Earth’s Future

Water, energy, and fertilizer-efficient urban agriculture for some fresh produce in cities seems like a pretty good idea. Urban aquaculture seems practical to me. Growing enormous amounts of grain and protein does not at the moment, unless we are going to do it in high-rises under lights. That might be technological doable but farm fields out in the countryside are probably going to be more cost-effective for a long time to come, especially when the environmental costs are mostly not counted.

Even growing a few percent of our calories in cities might help to buffer any future food shocks by giving us extra time to react to them, and by reducing panic and economic disruption it could cause.

Universal health care would have saved lives in the pandemic

This article in PNAS estimates that a universal health care system in the United States could have prevented 212,000 deaths in 2020 alone. That is a big fraction of the total Covid deaths that year – I don’t have the number at my fingertips but total deaths over the whole pandemic (and caused by the pandemic) recently passed one million. I assume this does not count all the deaths from other causes that a health care system could have prevented. This sounds like a pro-life policy to me!

city biodiversity

This paper in Urban Forestry and Urban Greening suggests three ways to increase biodiversity in cities.

Consideration of the three key factors influencing biodiversity identified here (grassland extent, land-use in the surroundings, and management intensity) would provide the optimal options for maintaining city biodiversity. Protecting current urban grasslands from development and restricting construction in their surroundings, restoring city wilderness areas using urban spatial planning, and setting up butterfly-friendly management regimes (e.g., mowing in mosaic) could all be future options to help enhance biodiversity in cities.

Urban Forestry and Urban Greening

These sound like measures the average U.S. homeowner’s association will gleefully embrace (#irony).