Project Overview
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The Lake Ontario Biocomplexity Project focused on distinct
and enclosed freshwater bays and lake-level lagoons along
the New York coast of Lake Ontario including the associated
watersheds, wetlands, and human settlements. The principal
theme organizing the research effort is biocomplexity in
open ecosystems. The main hypothesis is that the average
time water takes to move through an aquatic system is a
key variable defining the extent that ecosystems are self-organized
or dominated by outside influences. The effort produced
a large number of findings (57) covering many natural and
human properties and processes of the eight embayment ecosystems.
Overall, we found no simple pattern or single factor strongly
shaping ecosystem character and this general conclusion
refutes our main hypothesis. Dominant factors influencing
many ecosystem properties differed among our eight systems
with water dynamics important in some ecosystems or at times
of large hydrologic events. Nutrient loading, aquatic macrophyte
changes, and human activities were other factors that had
widespread ecosystem effects. Therefore, we now see a multiple
driver perspective as necessary to explain the nature of
coastal bay and watershed ecosystems even though they exist
in a single climate and are connected by a common waterbody
(Lake Ontario).
The scale and importance of many ecosystem properties were
detailed. Human community interests and patterns of change
were included in our analyses. Extensive information was
assembled to characterize key properties and processes of
the nearshore environment: invertebrate correlates, fish-physicochemical
relations, water circulation in and through embayments as
well as on the Lake Ontario shore, aquatic vegetation and
its role in shaping shallow water habitats, plankton dynamics,
and food webs in different settings. Productivity for some
taxa groups were clearly linked to water residence, nutrient
inputs, and bay morphology. These relations are important
for interpreting biological changes among bays and through
time. Land cover was analyzed at decade time steps and paleo
core records for plankton, land cover, chemistry, and wetland
communities were developed. The major factors influencing
the biota of embayments, tributaries, and wetlands were
analyzed and described. Extensive data relating land use,
agriculture, stream water quality, and embayment quality
were assembled, interpreted, and refined. The consequences
on aquatic life were well characterized providing thorough
knowledge of non-point source pollution on biological and
chemical properties of our ecosystems. GIS modeling of these
processes on the landscape scale provide broad spatial information
on streams and provides a framework for tracking and displaying
information. The large array of information we assembled
indicates what environmental and human factors are linked
to ecosystem scale properties. Therefore, we obtained diverse
and valuable findings on the nature of coastal ecosystems
in the Great Lakes.
The Lake Ontario Biocomplexity Project was designed to interface
with agencies and organizations responsible for Lake Ontario
and is coastal zone. Many activities and additional funded
studies built strong connections to managers and conservationists.
The project contributed relevant data and new understanding
on some of the issues important to practitioners and decision-makers:
aquatic communities and habitats, non-point source pollution,
and climate change. Some information was developed on exotic
species, tributaries, and sustainable development. Our project
did not assist agencies on contaminant issues. Overall,
our strongest record of contribution were on broad issues
consistent with our ecosystem orientation, and we were less
valuable on topics of recent or local interest.
Aquatic communities are shaped by many factors acting together
in coastal embayments: water circulation, residence time,
nutrient inputs, mixing, inflow of cold water from lake,
and others. Shallow vegetated bays have food webs based
on in-bay energy sources (vegetated shallow, pelagic) while
deep and open bays are based on energy from phytoplankton.
The most important factors for the productivity and quality
of embayments and coastal wetlands are hydrodynamics, nutrient
loading, and bay morphology. Very clear data were obtained
showing close link between agricultural land on water quality.
Land cover change has reduced agricultural land and increased
forest cover. These changes suggest declining threat from
non-point source pollution. Methods for effective monitoring
of coastal wetlands were assessed and a protocol developed.
Paleoecology core analyses provide an understanding of long-term
(1000s years) trends in environmental conditions that can
help put climate changes in perspective. Perhaps our largest
contribution was assembling diverse information in a way
that provided a more complete picture of common coastal
management issues.