I’m going to start this blog by looking at a fairly
straightforward paper. Narita et al.(2011) looks at the global economic impacts of OA on shellfish production. This
sector accounts for 9% of the total value of global fisheries production, which
equates to around $15 billion. To find the economic impact of OA, two factors
are assessed; welfare costs relating to a decreased production and consumption
and welfare impacts from the increased price of molluscs due to a decreased
supply. It was found that if demand for molluscs increases as expected due to
continued income growth and emissions trends continue to increase in a ‘business
as usual’ scenario, global costs of OA on shellfish production could be in
excess of $100 billion.
However, for Rodrigues etal. (2012), calculating the economic impacts of OA requires much higher
levels of detail and more complex analysis. The paper comments that Narita et al.’s paper has too restricted a
focus because it only deals with the impact on shellfish production and ignores
other impacts of OA. It also considers the issue on a global scale, while
Rodrigues et al. argue that this is
contentious because there are large regional variations in the impacts of OA. When
calculating the effect of OA on marine life, Narita et al. also rely on data from laboratories or microcosms, while
Rodrigues et al. write that up-scaling
this data is unreliable because this method ignores interactions that occur
with the ecosystem, and the impacts the OA has on the trophic system. Finally,
Rodrigues et al. comment that while
Narita et al. assume that reduced
calcification rates have a linear relationship with production levels, we are
actually unsure whether OA will increase of decrease the production and
economic value of molluscs.
So, Rodrigues et al.
go on to define how they would implement assessing the economic impacts of OA
in the Mediterranean. Firstly they would look at the direct impacts of OA on
marine ecosystems, then assess the impact of this on human services and
translate this into socio-economic costs. While the main sectors affected are
fisheries, tourism, recreation and red coral extraction, Rodrigues et al. also argue that the value of
costs associated with OA, which have no real market value must also be
considered. For example, the oceans capture 25% of anthropogenic CO2
through a process known as carbon sequestration. OA is likely to inhibit the
ocean’s ability to do this, so the cost of this must be identified. There are
also habitats and ecosystems that are likely to be affected by OA, but which
have no specific economical use. However we must still consider the value of
this ‘non use’ effect in order to fully estimate the costs of OA.
Obviously, valuing things which don’t have an economic use
is incredibly challenging. However, it seems to be necessary. Narita et al.’s paper has only calculated 1.5%
of the future costs of climate change, therefore it would seem that a more
holistic approach is necessary to really evaluate the cost of OA overall. Calculating the economic impacts of OA is made even more difficult by the
uncertainties in future predictions for scenarios of climate change and OA and
how biological organisms will react to the changing ocean.
After all these
complications, you may find yourself asking what the point in calculating
economic impacts is, why not just wait and see what happens? I think this blog post from The Center for Climate & Security helps to show that it is
important to try and work out what the impacts of OA and climate change will
be, so we can find ways to address the needs of those who are most vulnerable
to it, before it is too late.
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