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.