The shale oil "miracle": how growth may falsely signal abundance

Originally published on "Cassandra's Legacy" on Tuesday, February 24, 2015

Oil production (all liquids in barrels per day) in the US and Canada. (From Ron Patterson's blog). Does this rapid growth indicate that the resources are abundant and that all the worries about peak oil are misplaced? Maybe not....

Sometimes, we use a simple metric to evaluate complex systems. For instance, a war is a complex affair where millions of people fight, struggle. suffer, and kill each other. However, in the end, the final result is seen in terms of a yes/no question: either you win or you lose. Not for nothing, General McArthur said once that "there is no substitute for victory".

Now, think of the economy: it is an immense and complex system where millions of people work, produce, buy, sell, and make or lose money. In the end, eventually, we think that the final result can be described in terms of a simple yes/no question: either you grow, or you don't. And what McArthur said about war can be applied to the economy, as well: "there is no substitute for growth".

But complex systems have ways to behave and to surprise you that can't be reduced to a simple yes/no judgement. Both victory and growth may well create more problems than they solve. Victory may falsely signal a military might that doesn't really exist (think of the outcome of some recent wars....), while growth may signal an abundance which is just not there.

Take a look at the figure at the beginning of this post (from Ron Patterson's blog). It shows the oil production (barrels/day) in the US and Canada. The data are in thousand barrels per day for "crude oil + condensate" and the rapid growth for the past few years is mostly due to tight oil (also known as "shale oil") and oil from tar sands. If you follow the debate in this field, you know that this growth trend has been hailed as a great result and as the definitive demonstration that all worries about oil depletion and peak oil were misplaced.

Fine. But let me show you another graph, the US landings of North Atlantic Cod, up to 1980 (data from Faostat).

Doesn't it look similar to the data for oil in the US/Canada? We can imagine what was being said at the time; "new fishing technologies dispel all worries about overfishing" and things like that. It is what was said, indeed (see Hamilton et al. (2003)).

Now, look at the cod landings data up to 2012 and see what happened after the great burst of growth.

I don't think this requires more than a couple of comments. The first is to note how overexploitation leads to collapse: people don't realize that by pushing for growth at all costs, they are destroying the very resource that creates growth. This can happen with fisheries just as with oil fields. Then, note also that we have here another case of a "Seneca Cliff," a production curve where the decline is much faster than growth. As the ancient Roman philosopher said, "The road to ruin is rapid". And this is exactly what we could expect to happen with tight oil

Sandeels: another Seneca cliff

Originally published on Cassandra's Legacy on Thursday, January 22, 2015

Image from http://www.climateandfish.eu/default.asp?ZNT=S0T1O-1P192

Once you start looking for "Seneca Cliffs" in the exploitation of natural resources, you find them all over the scientific literature. This is my latest find of a production curve where decline is much more rapid than growth: the landings ofsandeels. If you don't know what a sandeel is, here is one: 

In the report (2007), where I found the curve shown above, the authors discuss the causes for the collapse of the fishery, especially in view of climate change. They don't seem to arrive to any definitive conclusion and they don't use the dreaded term "overfishing". But from the fact that trawlers were used in this fishery, I think it is clear that the fish stock was being destroyed in a process similar to the one that led to the collapse of the whole UK fishing industry. The more resources were aggressively thrown at trying to maintain production, the more the fish stock was depleted. The end result was the rapid collapse observed.

So, as in several other cases, we have a classic example of the "Seneca Collapse", that is a production curve where decline is much more rapid than growth. Below, you can see the Seneca curve as shown in a simulation carried out by system dynamics that takes into account the increased capital expenditure in fishing equipment (the model is described here). 

As Seneca said, "the road to ruin is rapid", indeed.

A Seneca cliff in the making: African elephants on the brink of extinction

Originally published on "Cassandra's legacy" on Monday, January 19, 2015

The graph above refers to effects of the illegal hunting of African elephants. It is taken from a recent paper by Wittemyer et al.

Once you have given a name to a phenomenon and understood its causes, you can use it as a guide to understanding many other things. So, the concept of the "Seneca Cliff" tells us that the overexploitation of natural resources often leads to an abrupt decline that, often, takes people by surprise. In the case of biological resources, such as fisheries, the decline may be so fast and uncontrollable that it leads to the extinction or to the near extinction of the species being exploited. It has happened, for instance, for whales in 19th century and for the Atlantic cod.

If you keep in mind these historical examples, you can examine other cases and identify possible Seneca cliffs in the making. One such case is the ivory trade from the hunting of African elephants. If you look at the plots (from a recent paper), above, you see that the seized ivory mass has shown a considerable increase starting around 2008. It peaked in 2011, then declined. We can probably take these numbers as a "proxy" for the number of African elephants being killed - which is also visible as the red line in the upper box. 

This is very worrisome, because if killings decline, it may very well be because there are fewer elephants left to kill - just as the landings of the fishing industry tend to decline when the fish stocks are depleted. Considering how abruptly these things go (the "Seneca effect") then we may well be seeing a similar trend in progress for African elephants: that is, the prelude of an abrupt crash in their numbers. Considering that elephants are big and reproduce slowly, that may very well lead to their extinction.

On this subject, the authors of the paper seem to be very worried, too. The title, by itself, says it all: "Illegal killing for ivory drives global decline in African elephants". In the text, we can read, among other things, that:

The population [of African elephants] was subjected to unsustainable rates of illegal killing between 2009 and 2012, escalating from a mean of 0.6% (SD = 0.4%) between 1998 and 2008 to a high of 8% in 2011 (Fig. 1). Annual illegal killing of elephants in the Samburu population during 2009 to 2012 exceeded those of all previous years of monitoring (1998–2008) with an estimated aggregate of 20.8% of the known elephants illegally killed during that 4-yperiod. ... Illegal killing rates were strongly correlated with black market ivory prices in the Samburu ecosystem. ... As a result of this illegal killing, the population currently suffers from few prime-aged males, strongly skewed sex ratios, and social disruption in the form of some collapsed families and increased numbers of orphans (immature elephants without a parent)

Are we going to lose the elephants forever? Right now, we can't say for sure; but when it will be clear that it is happening, it will probably be too late to do something about it. Doesn't that sound familiar? 

Seneca's pyramids: how fast did the Mayan civilization fall?

Originally published on Cassandra's legacy on Wednesday, January 14, 2015

Monument building cycle of the Mayan civilization. From "Sylvanus G. Morley and George W. Brainerd, The Ancient Maya, Third Edition (Stanford University Press, 1956), page 66.". Courtesy of Diego Mantilla.

Once you give a name to a phenomenon, you can focus your attention on it and learn more and more about it. So, the "Seneca Cliff" idea turns out to be a fruitful one. It tells us that, in several cases, the cycle of exploitation of a natural resource follows a forward skewed curve, where decline is much faster than growth. This is consistent with what the Roman philosopher Lucius Annaeus Seneca wrote: "increases are of sluggish growth, but the way to ruin is rapid." With some mathematical tricks, the result is the following curve:

This curve describes the behavior of several complex systems, including entire civilizations which experienced an abrupt collapse after a long period of relatively slow growth. In my first post on the seneca cliff, I already discussed the collapse of the Mayan Civilization (*)

Here, you can see the the Seneca behavior, although the data for the Maya population density seem to be rather qualitative and uncertain. However, the data that I received recently from Diego Mantilla (see at the beginning of this post) are clear: if you take monument building as a proxy for the wealth of the Mayan civilization, then the collapse was abrupt, surely faster than growth.

Something similar can be said for the ancient Egyptians, although the data for pyramid building are more sparse and uncertain than those for the Maya. Finally, also the Roman civilization appears to have collapsed faster than it grew.

So, the Mayans didn't do better than other civilizations in human history. As other civilizations did, they moved toward their demise by dragging their feet, trying to avoid the unavoidable. They didn't succeed and they didn't realize that opposing the collapse in this way is a classic example of "pushing the levers in the wrong direction". It can only postpone collapse, but in the end makes it more rapid.

Will we do any better than the Mayans? One would hope so, but........





(*) Dunning, N., D. Rue, T. Beach, A. Covich, A. Traverse, 1998, "Human - Environment Interactions in a Tropical Watershed: the Paleoecology of Laguna Tamarindito, Guatemala," Journal of Field Archaeology 25 (1998):139-151.

The Seneca Cliff of Energy Production

Published on Cassandra's Legacy on Thursday, January 8, 2015

The graph above was created by Gail Tverberg on her blog "Our Finite World". It is, clearly, another case of what I called the "Seneca Cliff" (from the Roman philospher who said "the road to ruin is rapid). The Seneca Cliff takes this shape, when generated by a system dynamics model:

Gail's forecast of the future of energy production is not the result of a the same model I developed, but the reasons behind the steep decline are the same. Gail explains it in a post of hers as:



All parts of our economy are interconnected. If parts of the economy is becoming increasingly inefficient, more than the cost of production in these parts of the economy are affected; other parts of the economy are affected as well, including wages, debt levels, and interest rates.

Wages are especially being crowded out, because the total amount of goods and services available for purchase in the world economy is growing more slowly. This is not intuitively obvious, unless a person stops to realize that if the world economy is growing more slowly, or actually shrinking, it is producing less. Each worker gets a share of this shrinking output, so it is reasonable to expect inflation-adjusted wages to be stagnating or declining, since a stagnating or declining collection of goods and services is all a person can expect.

At some point, something has to “give”. 


Which is a good description of the mathematical model at the basis of the Seneca cliff idea. The burden on the economy of increasing costs becomes more and more heavy in times of diminishing returns (or, as Gail says, increasing inefficiency, which is the same). At some point, something "gives" and the whole thing comes down. Seneca rules.

Seneca again: the collapse of the UK fishing industry

Originally published on Cassandra's legacy on Jan 6 2015

Image from a 2010 article by Thurstan, Brockington, and Roberts. It describes the cycle of the UK fishing industry, which collapsed because ofoverfishing in the late 1970s.

The two graphs above (from a 2010 article by Thurstan et al.) speak by themselves. We have here a real life example of the overexploitation of natural resources; that is, of the tendency of people of destroying their own sources of wealth. Other classic examples can be found with the 19th century whaling industry and with the Canadian cod fishery.

Overexploitation typically generates the "Hubbert curve," the name given to a bell-shaped production cycle best known for the case of crude oil, but affecting all the resources which can be exploited faster than they can reform by natural processes. This behavior can be explained by means of mathematical models, but, qualitatively, it is the result of the falling profits generated by the diminishing resource stock. In the long run, lower profits discourage investments and the result is a general production decline. A particular case of this mechanism is when the industry initially reacts to diminishing returns by aggressively increasing the amount of capital invested. In this case, the stocks of the resource are depleted very fast and the result is a crash of the production rate; we still have a bell shaped curve, but skewed forward. The rapid decline that occurs after the peak is what I called the "Seneca Cliff." 

There are several historical examples of the Seneca cliff; in the case of fisheries, it is especially evident in the case of the Canadian cod fishery and for the Caspian Sturgeon; but it is evident also in the case of the UK fishing industry. Note, in the figure above, the steep decline of the landings of the late 1970s, it is significantly steeper than the growth of the left side of the curve. This is the essence of the Seneca mechanism. And we can see very well what causes it: the start of the decline in production corresponds to a rapid growth of investments. The result is the increase of what the authors of the paper call "fishing power" - an estimate of the efficiency and size of the fishing fleet.

The results were disastrous; a textbook example of how to "push the levers in the wrong directions", that is, of a case when the attempt to solve a problem worsens it considerably. In this case, the more efficient the fishing fleet was, the more rapidly the fish stock was destroyed. This is a classic mechanism for falling down the Seneca cliff: the more efficient you are at exploiting a non renewable (or slowly renewable) resource, the faster you deplete it. And the faster you get into trouble.

This case, as others, is such a staggering disaster that one wonders how it was possible at all. How could it be that nobody in the fishing industry or in the government realized what was happening? In their article on this subject, Thurstan and his colleagues don't comment on this point, but we can cite an article by Hamilton et al. on the Canadian Atlantic Cod fishery, where they say "Some say they saw trouble coming, but felt powerless to halt it."That seems to be not describing not just the fishing industry, but our entire civilization.