A
blog of Bridge Environment
Have you heard
that all marine fisheries are doomed? After a study he published with
co-authors in 2006, Boris Worm, a professor at Dalhousie University, claimed
“if the long-term trend continues, all fish and seafood species are projected
to collapse within my lifetime -- by 2048.” Anyone who has paid any attention
to news reports over the past decade will realize this claim is not the first
or the only that fisheries management is failing, although it may be the most
extreme.
Don’t believe
everything you hear. Some of these doom and gloom pronouncements may have
elements of truth in them, but they all do a disservice to fisheries management
because they seem to suggest that there is a right answer, usually a plea for a
general decrease in fishing pressure or a call for a specific technique, most
often a closed fishing area. In today’s blog, I hope to convince you that there
is no such thing as a right answer, but that there is an effective process for
coming up with good solutions. I’m sure it won’t surprise you that this process
does not include doom and gloom pronouncements. Instead, it focuses on two
inherent attributes of fisheries: their uncertainty and the differences of
opinion among stakeholders on objectives.
The key to
uncertainty is recognizing and characterizing it in terms that are relevant to
stakeholders and policy-makers. I have already discussed uncertainty
extensively and encourage you to review previous blog postings if this subject
is of interest. Today I will focus on conflicting objectives. To start, I need
to reiterate a point from the
rocket science approach to fisheries. When setting catch limits, rarely can
I give advice about the implications of an annual quota in isolation. A
seemingly irresponsibly high quota might end up meeting the economic needs and
be part of a sustainable plan if it is paired with commitments to set low
quotas in the future. Conversely, many seemingly reasonable quotas may be wildly
irresponsible if the quota will remain the same in subsequent years even if
there is evidence of stock decline. In short, to understand the implications of
fisheries quotas, we need to analyze the whole system.
There are a few
key objectives that come up in the design of most quota-setting systems. Let’s start
with two fairly simple ones—high catches versus constant catches—and simplify
matters by assuming that we have exceptional information so that there is no
uncertainty. Even in this simple case, small-scale and large-scale fishing groups
are likely to have distinct objectives. The small-scale operations probably
have a greater need for regular catches on a daily, weekly, or at least monthly
basis. Subsistence fishers, those who catch food for their households, would be
a good example. By contrast, a large corporate fishing operation may be in a
position to weather ups and downs in catches even over months or years. In
general, constancy of catches is beneficial to all fishing-related businesses,
from the fishermen themselves, who have better economic conditions with consistent
income, to restaurants and fish markets, which benefit from having a consistent
supply of seafood. Nevertheless, fishing operations will vary in their
tolerance of catches that vary from one month or one year to the next, and the
size of the operation will influence that tolerance.
Fig. 1--Diamond of high catch peformance. Stock and flow are policy choices. Performance: Green = high, Red = low. |
Recall from the blog
that compared fish, water, and methane that we can think of many
environmental systems as a stock and a flow. We have choices for the target
stock level (in this case, number of fish left in the ocean) and the
characteristics of the flow (in this case the shape of our quota-setting policy
combined with the productivity of the fish stock). These policy options can be
represented in a diamond shape, which when used properly can be a fisheries
manager’s best friend. Like the gemstone diamond, this one has color. We can
represent performance based on a given objective, ranging from high performance
in green to poor performance in red. The colors change across the surface of
the diamond, call that its cut. When it comes to average catches, we get best
performance from fisheries that have intermediate stock levels (Fig. 1). Too
few fish and the population will suffer from a lack of reproductive output. Too
many fish and much of the potential productivity will be “lost” to the
ecosystem. When we consider that the productivity of a stock varies from one
year to the next, it turns out that highly responsive policies provide higher
average catches than more constant ones because they keep the population from
drifting even temporarily to sizes that would be less productive (again, Fig.
1). The details of how quickly performance drops and the exact location of the
peak—the color and cut of the diamond—will vary based on ecological factors,
but the general attributes are consistent across fisheries.
Fig. 2--Diamond of constant catch performance. |
Constant catches respond very differently to various policies. This
objective is influenced exclusively by the flow properties, as shown in Fig. 2.
Note that the best policies for average catches are the worst for constancy. We
could find some happy medium somewhere near the middle of the diamond. However,
because fishing operations have different tolerances for unpredictable catches,
they will not agree on where this happy medium lies. Smaller scale operations,
which require regular catch and income, will prefer policies pretty far to the
left while larger scale operations will want somewhat more responsive policies
because they are willing to trade off some fluctuations in catches in order to
catch more fish overall.
Fig. 3--Diamonds of ecosystem function (top) and sustainability (bottom). |
In real-life,
the situation is more complicated. We have groups that care about the ecosystem
function of the fish population. These groups include conservation
organizations as well as people who have an interest in other aspects of the
same ecosystem, for example fishing operations that target a predator of the
fish in question. When we consider ecosystem function, a high stock will be of
paramount importance (Fig. 3, top). This conflicts with the high catch
performance because the productivity that is “lost” to the ecosystem as far as
catches are concerned provides benefits elsewhere. Although less important,
natural flows (neither too high nor too low) will be best for maintaining
ecosystem services (Fig. 3, top). Once again, the nuances of these performance
results, the color and cut of this diamond, will vary depending on ecological
conditions.
Uncertainty also
plays a key role. The performances in terms of average and constancy of catch,
above, are based on the assumption that we know the long-term productivity of
the stock. In reality, the majority of stocks lack even an educated estimate of
productivity. For the rest, the estimates range from moderately to highly
uncertain. The most recent two blog posts have made the point that
sustainability can be achieved, even in the face of uncertainty, through
responsive management, light fishing (and thus a high stock size), or a
combination of both. Thus, the sustainability of various fisheries policies
drops from a peak on the upper right portion of the policy diamond to a minimum
on the bottom left (Fig. 3, bottom). Sustainability affects everyone who has an
interest in fisheries, but once again this diamond’s color and cut depend on social,
economic, and ecological characteristics.
Together, these
four objectives: high catches, constant catches, ecosystem functions, and
sustainability, capture the majority of concerns various groups have about quota-setting
policies. Unfortunately, they give conflicting advice. The right answer will differ
among groups depending on their social and economic circumstances and how much
they value each of these objectives. Thus, we do a disservice anytime we
present a ‘right’ answer. Doing so is simply a way of justifying one’s own
preference by treating it as if it was an objective finding of science. We can
do better by presenting the trade-offs to everyone involved in the management
arena. These diamonds do exactly that. When interest groups are better informed
about the consequences of long-term policies, like quota-setting rules, they
will have more investment in their design and application. Of equal importance,
when groups are more informed about the trade-offs that their opponents face,
they are more likely to work constructively and devise long-lasting solutions.
As always, your
comments are appreciated.
Best,
Josh