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Building a model for aquaculture success
Integrated approach incorporates range
of data and viewpoints Researchers are developing
a support tool for decision makers that will allow them to
better understand the collective effects of marine activity
on an ecosystem.
While coastal aquaculture has great potential for the production
of food and the generation of wealth, its success lies in
the intricate interactions of people, resources and ecosystems.
Aquaculture is vulnerable to poor water quality and pollution
from industrial, domestic and agricultural wastes. In turn,
some early aquaculture successes have been tarnished by environmental
and resource use issues, social problems, fish diseases, and
marketing setbacks.
It comes as no surprise, then, that an integrated approach
is required to incorporate all of these issues into decision
making to promote sustainable development in coastal zone
aquaculture.
To help achieve this, a team of natural and social scientists
from across the country is measuring the effects of marine
activities on an ecosystem. AquaNet Principal Investigator
Dr. Dan Lane and Co-Investigator Wojtek Michalowski,
both from the School of Management at the University of Ottawa,
are working with Department of Fisheries and Oceans (DFO)
scientists at the St. Andrews Biological Station in New Brunswick
to develop a model that will act as a decision-support tool
for aquaculture-related marine site evaluation and problem
solving.
Using a computer-aided framework that can display the resources
of marine areas on maps, the decision-support tool is designed
for establishing marine recreational areas, locating new fish
farms, resource habitat and fishing locations and assessing
the coexistence of commercial and community uses of marine
sites.
Part of the research deals with the strategic aspects of
fish farming throughout Grand Manan Island in the Bay of Fundy.
DFO researchers Drs. Rob Stephenson and Fred Page supplied
marine resources information for the model such as the level
of resources and their habitat, and the number, location and
productivity of fish farms.
These data were translated into a geographical model by Drs. Lane
and Michalowski to evaluate the ecosystem value of selected
marine sites. The model shows how fish farms interact with
other ecosystem components, indicates what the ecosystem might
be like if marine activities (e.g., recreation, fishing or
fish farms) were relocated, and evaluates the overall impact
on the ecosystem.
The model can be used to evaluate the potential impacts of
new fish farming operations along coastal regions by identifying
marine sites that would be more economically profitable and
less environmentally sensitive.
"You must first find out where the resources are and
what potential ecosystem impacts alternative sites may have,
and then match up the largest ecosystem and economic benefits
with the lowest ecosystem and economic costs to uncover candidates
for best sites," Dr. Lane explains.
The model uses data from multiple sources to identify the
important ecosystem characteristics of local marine resources,
marine habitat, natural and man-made effluents, and human
commercial and recreational activities including aquaculture
sites.
Of prime importance, it also incorporates the perspectives
of all who participate in setting coastal marine policy, including
inhabitants of the coastal communities, native peoples, fishing
and aquaculture industries, provincial managers and federal
scientists, as well as non-governmental environmental organizations.
"Fish farms bring employment and positive economic value
to the industry and community, but for some constituents of
the coastal zone they may also interfere with a non-interventionist
viewpoint," Dr. Lane says.
Including all views in the decision-support model helps decision-makers
in their negotiations. It allows them to more easily consider
compromise positions, such as changing the location of a proposed
farm site to avoid affecting a traditional recreation area.
According to Dr. Lane, this approach – using input
from an interdisciplinary team of researchers to create a
model that evaluates the cumulative effects of marine activity
on an ecosystem – is novel. While the model provides
a decision-support framework, the challenge continues to be
obtaining and analyzing large amounts of data to better understand
coastal marine systems.
"There are so many factors to take into account that
we can't seek to optimize the solution entirely,"
says Dr. Lane. "Rather, we attempt to come up with
new ideas and suggestions using the model that are based on
the decision makers' own objectives and then let the
decision makers choose the opportunities that fit them best."
This way of negotiated problem solving also ensures that
each party takes what it needs from the model. As Dr. Lane
explains, decisions depend on who is making them. Federal
and provincial governments, along with commercial, environmental
and community groups all have different perspectives. The
best solutions lie in embracing all the different viewpoints
and developing the most acceptable opportunities.
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