
Phytoplankton
Composition and Primary Productivity
The responses of estuaries to effects of land use on nutrient inputs
are increased phytoplankton biomass and productivity, and predictable
shifts in species composition. These three indicators strongly express
seasonal, annual and secular changes modulated by the interplay of
light and nutrient limitation along the estuarine salinity gradient.
We propose a three-tiered approach to develop phytoplankton indicators:
1) species composition shifts detected from photopigment composition
calibrated with microscopic enumeration, 2) phytoplankton biomass
measurements including analyses of historical data, analyses of contemporary
data, and extension of remote sensing from aircraft and satellite
(companion NASA proposal), 3) primary productivity using archival
data spanning two decades and models applied to in-situ and remotely
sensed observations. The research will be conducted primarily in Chesapeake
Bay and Pamlico Sound study sites, with tests of applicability in
Parker River and North Inlet (the ACE-INC estuaries).
Oxygen
Depletion & Physical Indicators
P.I. - William
Boicourt
We propose to incorporate 02 as an important indicator
of ecosystem "health" in Atlantic estuaries. The approach
consists of an analysis of archived records spanning 1949-present,
and of continuous measurements of 02 from autonomous moored
platforms now deployed on Chesapeake Bay. The focus will be on 02
depletion in the deep channel to resolve long-term effects of increased
nutrient loading from the physical control of stratification by freshwater
flow. The DO indicator will be developed initially in Chesapeake Bay
and tested in Pamlico Sound - Neuse River, another system that experiences
hypoxia, and in the microtidal Parker River in North Inlet estuaries.
Indicators of residence time, stratification, and advective time scales
will be developed for the ACE INC estuaries. This effort will be collaborative
with R. Luettich of the Pamlico Study. The primary goal will be to
construct and test methods to formulate indicators that capture key
physical aspects of time and space variability.
Zooplankton
P.I. - Mike
R. Roman
Coupling phytoplankton production to fish is principally through
the micro- and mesozooplankton links in estuaries. We propose to develop
indicators of ecosystem "health" from short and long -term
trends of zooplankton abundance and species composition in Chesapeake
Bay. Hypothesized secular changes in mesozooplankton abundance in
response to nutrient over-enrichment will be tested with archival
data from monitoring and optical data from contemporary sampling.
We propose to develop predictive relationships between optical measurements
of phytoplankton biomass from remote and in-situ sensors, with zooplankton
abundance and community composition. We will begin analysis using
Chesapeake Bat data, then incorporate available data from other ACE
INC estuaries. We hypothesize that physical parameters, photopigments,
and other optical properties can be used as indicators to predict
zooplankton abundance and community composition.
Biomass
Size Spectra
P.I. - Edward
D. Houde
Biomass size spectra will be developed and tested as integrative
bio-indicators of stress or change in estuarine ecosystems. Data from
primary producers to fish are available in Chesapeake Bay Program
and other surveys to develop the spectra. We postulate that changes
in annual climate, freshwater, and nutrient inputs to Chesapeake Bay
and other ACE INC estuaries will be registered as variability in properties
of biomass size spectra. Annual, seasonal and regional variability,
particularly in the slopes and levels of biomass in the spectra can
serve as indicators of change and will related to environmental factors.
Specific goals are to identify key species and species groups that
contribute importantly to biomass size spectra and thus to interpret
trends in trophic status reflected in spectral properties.
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