Project overview
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.
The final
report for this project was submitted to the National Science Foundation
in Spring 2007.