Submitted to the National Science Foundation by Dr. Richard Dame,
Dr. Dennis Allen, and Dr. Robert Young, this proposal is available
to outline in detail the goals and expectations of this three year
study.
Introduction and Significance of the
Proposed Research
Organisms that actively move
between ecosystems and between subsystems and connect components in
space and time (mobile link organisms or MLOs) have been often
overlooked or only given cursory attention (Lundberg and Moberg
2003). This situation is particularly the case in marsh-estuarine
ecosystems where MLOs are prominent providers of services, such as
food and recreation, to society. MLOs are also involved in a number
of essential marsh-estuarine ecosystem functions, such as grazing,
predation, secondary production, nutrient translocation and material
cycling. The activities of MLOs or nekton (fishes, shrimps and
crabs) are particularly evident during their occupation of
intertidal areas in marsh-estuarine ecosystems (Kneib 1997). Many
studies have focused on MLOs’ use of tidal channels and marshes as
nursery or feeding grounds as well as refuges from predators
(Weinstein 1979, Boesch and Turner 1984, Irlandi and Crawford 1997,
Peterson et al. 2000, West and Zedler 2000, Beck et al. 2001, Webb
and Kneib 2002). In addition, the potential importance of MLOs in
the transfer of marsh-estuarine production has often been invoked
(Nixon and Oviatt 1973, Valiela et al. 1977, Kneib and Wagner 1994),
but has seldom been mentioned or estimated in ecosystem scale
studies (Teal 1962, Woodwell et al. 1979, Pomeroy and Wiegert 1981,
Dame et al. 1986). In spite of the obvious informational need, few
investigations have examined the role of MLOs in the transfer of
materials between the shallow waters of salt marshes and coastal
waters via migration (Deegan 1993). Some MLO functions such as
feeding, growth, and the redistribution of biomass through
migrations have been identified, but production of dissolved
inorganic materials as byproducts of metabolism is equally essential
to understanding the functional role of MLOs in marsh-estuarine
systems. MLOs production of dissolved nutrients may be particularly
significant in relatively undisturbed coastal systems that are
typically nutrient limited (Ryther and Dunstan 1971). The
investigation of MLOs in marsh-estuarine ecosystems provides the
opportunity to explore a new suite of mechanisms by which high
productivity may be achieved in natural systems.
Marsh-estuarine ecosystems
are prominent systems marking the transition zone between
terrestrial uplands with their freshwater runoff and the sea. These
zones have their own unique biota and ecological characteristics.
Along the southeastern coast of the US, the broad gently sloping
coastal plain allows tides propagated in the adjacent ocean to
dominate marsh-estuarine systems with little river input. These
systems are multiscalar and typically composed of (1) a tidal inlet
that interfaces with the sea, (2) a number of major subtidal
channels (partially submerged at low tide) that merge to form the
inlet and (3) a multitude of intertidal channels (contain little
water at low tide) that connect to the subtidal channels. It is
through these small channels that tides flood and drain the ICMBs.
Because human use and development of coastal resources continues to
increase, the need to more fully understand fundamental ecological
processes within the marsh-estuarine system is becoming more acute.
Scientific information has played a significant role in the
management of estuarine systems and resources, but that knowledge
remains insufficient and new approaches are needed (Fisher et al.
2001). For example, efforts to reconstruct marshes and their
associated tidal creeks as well as restore their ecological
functions have been only marginally successful (Kneib 1997, Zedler
1996). Clearly, the level of understanding necessary to evaluate,
manage or restore normal ecosystem functioning is yet to be
achieved.
In our recently completed
Creek Project, we found that, in spring, summer and fall, the MLO
biomass in ICMBs was greater than oyster and resident nekton biomass
by as much as an order of magnitude (Dame et al.2002). Furthermore,
literature sources and recent work at the (BML) reveal that
weight-specific MLO excretion rates are an order of magnitude higher
than those of oysters are (Haertel et al. in prep.). Changes in MLO
densities coincided with the seasonal pattern of ammonium
concentrations in the water column (Fig. 1). Using a spreadsheet
model based on Creek Project and literature estimates of ammonium
and orthophosphate fluxes in marsh-estuarine systems (Table 1), we
computed the flux of these nutrients for a single tidal cycle and
for the specific components of an ICMB used in the previous work.
These results suggest that MLOs in ICMBs are the largest source of
dissolved inorganic nutrients to the primary producers and
potentially key feedback components.
Our main objective in the
proposed work is to quantify the material fluxes between subsystems
within ICMBs and examine the under appreciated role of MLOs in a
marsh-estuarine system. The data we gather will provide evidence
supporting or refuting elementary theories of ecological boundaries
as they apply to a pristine marsh-estuarine system. An overarching
intent is to build on our approach to training undergraduates in the
sciences by providing mentored quality research experiences at the
individual and team levels (see RUI Impact Statement). We will
accomplish these objectives by using ICMB scale field manipulations
to compare systems and subsystems with and without MLOs (excluded),
flumes and chambers to make in situ measurements of material
fluxes by benthic subsystems and water column biota, and laboratory
experiments to determine excretion rates and elucidate other
processes. In summary, salt marshes are among the most productive
natural ecosystems. Due to their dense biomass content, high surface
to volume and edge to area ratios, and pulsating tidal flows linking
terrestrial and marine habitats, we argue that ICMBs are the primary
functional sites for major biogeochemical processes in the marsh,
analogous to the role of capillaries in the circulatory system. We
propose that MLOs (nekton) are the most important group of
processors and transporters of materials within ICMBs. In short,
ICMBs are where the action is, and MLOs are the major players. The
traditional paradigm is that MLOs are attracted to salt marsh
estuaries because marshes are highly productive. We suggest this can
be viewed from the opposite side of a positive feedback loop: a
major reason ICMBs are so productive is because MLOs live there.
Background
The earliest concepts of
ecological boundaries focused on the change in species composition
at the boundary or ecotone between different systems (Clements 1920,
Shelford 1963, Valiela et al. 2001). Margalef (1968) first observed
that boundaries between ecological systems are often difficult to
determine or define and that it would probably be more profitable to
focus on the exchanges and interactions between adjacent systems.
Recently, Laurance et al. (2001) observed that many ecological
boundaries or transition zones act like semi-permeable membranes,
admitting some things and inhibiting others, i.e., physical filters.
However, other transition zones, particularly wetlands (Mitsch and
Gosselink 1993, Levin et al. 2001), are more than filters. They
transform both the quantity and quality of material fluxes crossing
their interfaces, act as sources and sinks of materials, and have a
major MLO component that has both process and resource functions.
Laurance et al. (2001) developed a number of general hypotheses of
boundary function based on simple first principles. For example,
there will be a net flux of energy from the higher to the lower
productivity system as asserted by the Mass Effect and 2nd
Law of Thermodynamics. Also, as the degree of contrast increases
between adjacent subsystems, the flux of MLOs will decline while the
physical flows will increase as predicated by the principles of
habitat specialization and diffusion.
Marsh-estuarine systems
incorporate some of the characteristics of both aquatic and
terrestrial environments, yet they support a unique biota and are
generally more functionally diverse (Mitsch and Gosselink 1993).
Furthermore, energy subsidies generated by the tides make
marsh-estuarine systems some of the most ecologically productive
systems in the biosphere (Odum 1963). Roughly 50% to 75% of
economically important fish species and over 25% of all US Atlantic
coast fish species use estuaries at some stage in their life history
(Houde and Rutherford 1993). Also, coastal areas are sites of the
most intense economic activity and human population growth (Deegan
2002); world wide, as much as 75% of the human population lives in
the coastal zone (Von Bodungen and Turner 2001).
At
least, three main ecological subsystems can be distinguished in
marsh-estuarine systems: intertidal salt marshes, mudflats and a
network of channels (Mitsch and Gosselink 1993, Fagherazzi et al.
1999). Many ICMB systems also have extensive subsystems of benthic
suspension feeders and reefs (Dame et al. 2000c, Thompson and
Schaffner 2001) and/or beds of macroalgal and subtidal seagrasses (Irlandi
and Crawford 1997). The water column subsystem is usually the medium
for the active and passive fluxes of materials between different
subsystems in the ICMB (Valiela et al. 2001). Tidally driven
flooding and ebbing waters serve as expanding and contracting
corridors for the active movement of both juvenile and mature MLOs
seeking food (prey) and refuge (Boesch and Turner 1984, Fitz and
Wiegert 1991, Dame and Allen 1996, Kneib 1997, Irlandi and Crawford
1997, Webb and Kneib 2002, Potthoff and Allen in press) and passive
transporters of a dynamic planktonic food web (Lewitus et al. 1998,
Wetz et al. 2002). The presence of these subsystems in close
proximity to each other provides a unique opportunity to examine the
functional role of the ecologically and economically important MLOs
in the processing, production, transport and storage of materials
within and between subsystems and systems (Fig. 2).
Large animals or macrofauna (>1mm) are thought to influence
ecosystems through their processing of matter. Kitchell et al.
(1979) first postulated that in addition to feeding on other
organisms, macrofauna transform and translocate materials, thus
playing both direct and indirect roles in material cycling. Some
macrofaunal species may transform or engineer an ecosystem. That is,
they directly or indirectly modulate the availability of resources
to other species by causing state changes in abiotic or biotic
materials (Jones et al. 1994, Lawton and Jones 1995, Coleman and
Williams 2002). This engineering concept is consistent with the
ecological concept of keystone species that predicts that the
removal or exclusion of certain species from the system causes
significant change in ecosystem structure and function (Grimm 1995).
This notion has been expanded further by Lundberg and Moberg (2003)
to include animals that actively move in the landscape and connect
habitats in space and time (mobile link organisms). In addition,
Huxel and McCann (1998) have explored the idea that MLOs can
influence food web stability. That one or a few taxa can exert a
major influence on nutrient cycling has been shown or presumed for a
variety of ecosystems: beavers (Jones et al. 1994, 1997), oysters
and mussels (Dame 1996, Caraco et al. 1997), migratory waterfowl
(Post et al. 1998, Kitchell et al. 1999), migrations of fish between
estuaries and the coastal ocean (Deegan 1993,Laffaille et al. 1998),
the migration of salmon to freshwater systems (Gross et al. 1998,
Naiman et al. 2002), fish and reefs (Meyer and Schultz 1985, Geesey
et al. 1984), fish within lakes (Brabrand et al. 1990, Schindler
1992, Schaus et al. 1997, Persson
1997, Vanni and Layne 1997), fish in prairie wetlands (Zimmer et al.
2001) and ungulate herbivores (Augustine and McNaughton 1998, Frank
1998). Our recent work in estuaries suggests that MLOs play a
similar role. Despite the well-recognized role of estuaries as
important feeding grounds, refuges and nurseries for very abundant
and diverse nekton assemblages (Boesch and Turner 1984, Beck et al.
2001), the role of nekton in material processing within estuaries
remains largely overlooked. Members of the nekton do not just
utilize productive marsh-estuarine areas, their activities serve to
enhance and sustain them.
Estuaries function as processors and traps for most particulate and
dissolved materials including dissolved inorganic nutrients which
are often critical limiting factors for primary production in these
systems (Ryther and Dunstan 1971, Dame et al. 1991). Internal
subsystems and components process the many materials that enter
estuaries so that transport of some substances to the adjacent sea
is limited (Valiela et al. 1978, Woodwell et al. 1979, Odum et al.
1979, Nixon 1980, Chalmers et al. 1985, Dame et al. 1986, Dame et
al. 1991, Dame and Allen 1996). Which materials are processed,
retained or transported depends on the extent, configuration and
interactions of the specific subsystems. The dynamic water column is
another subsystem that expands on flooding tides and contracts on
ebbing tides. The water interacts with the other subsystems and
serves as the transport medium for materials including the plankton.
Thus, these subsystems and components function as processors of
materials as well as sources, sinks and transporters of materials.
In addition to these functions, MLOs actively transport their
functional capabilities and biomass to other areas and systems. A
quantitative understanding of how MLOs influence material processing
in ICMBs is essential for wise coastal management (Dame et al.
2002).
Many types of estuaries are recognized at
the land-sea interface. Along the southeast Atlantic coast,
bar–built (barrier island) estuaries that are dominated by extensive
intertidal marshes are common (Vernberg et al. 1992). Networks of
channels connect the marsh and other intertidal subsystems with the
ocean. Such estuaries can be thought of as assemblages of fairly
independent intertidal drainage basins that are connected by deeper
channels. The drainage basins consist of areas of vegetated marsh
and channels perched above the mean low tide level. Intertidal
channels meander over shelly, sandy or muddy bottoms that are lined
or interspersed with oyster reefs, and they connect to larger
channels that hold water throughout the tidal cycle. Tides
are the major force controlling circulation and water level and
volume in these systems. High edge to area (E: A) and surface to
volume (S: V) ratios enhance the passive exchange of materials
between the atmosphere, sediments, and tidal water (Dame et al.
2000a). Thus, like headwater streams in freshwater systems (Peterson
et al. 2001), intertidal basins may play a disproportionate role in
material processing within estuaries. Data from previous work (Vernberg
1977, Dame et al. 1986, Dame et al. 1991) and long-term monitoring
of pristine bar-built estuarine systems in the Southeast indicate
that ammonium (NH4) is the dominant form of DIN. DIN
concentrations reach maximum levels in the summer, largely following
the seasonal changes in NH4 (Fig. 1). By comparison,
nitrate-nitrite (NN) concentrations are relatively low
and only increase during periods of excessive rainfall. Potential
nutrient sources in these systems include - atmospheric inputs,
episodic surface water runoff, groundwater discharge, excretion and
remineralization by animals (especially benthos, oysters, and MLOs),
and remineralization through decomposition.
Nitrogen can enter estuaries via direct atmospheric deposition in
gaseous, dry or wet (water borne) forms, but total input is
relatively small (Table 1). The source of most atmospheric nitrogen
is thought to be agricultural fertilizers, livestock and human
waste, industrial processes, and energy generation by burning fossil
fuels (Sutton et al. 1998, Wesely and Hicks 2000). Atmospheric
deposition of nitrogen is cited as a contributor to the
eutrophication of coastal waters (Lawrence et al. 2000). In the
coastal southeastern USA atmospheric deposition of ammonium is low
(Poor et al. 2001).
In
North Inlet, groundwater movement into the marsh-estuarine ecosystem
is very slow (a few meters per year). Because of the almost flat
coastal landscape, surface water runoff is mainly confined to a few
intermittent blackwater streams with fluxes being orders of
magnitude less than tidal flow in the system (Dame et al. 1991).
The muddy sediments that compose the flats of intertidal channels
and marshes are generally rich in organic materials, bacteria,
microbenthic algae, meiofauna and suspension and deposit feeding
macrofauna (Dame et al. 2000c). They are also harsh environments
that are composed of soft poorly consolidated sediments, and they
are exposed to the atmosphere during a large proportion of the tidal
cycle. These factors make non-destructive sampling difficult, which
may partially explain why muddy tidal flats have been generally
overlooked by ecologists (Alongi 1998). Typically, these muddy
sediments are strongly reducing, found in zones of high deposition,
and support a number of bacterially dominated processes including
fermentation, sulfate reduction, denitrification and methanogenesis
(Middelburg et al. 1995, Mann 2000).
Salt marshes are usually the most extensive subsystem of temperate
bar-built estuarine ecosystems. These systems have often been
described as giant sediment traps (Jordan and Valiela 1983,
Stevenson et al. 1988), but they are also sinks for inorganic
nitrogen (Dame et al. 1991, Childers et al. 1993). The removal of
dissolved nutrients by the salt marsh also implies that in addition
to marsh grass, epiphytes, benthic microalgae and sediments within
the marsh (Jones 1980, Pinckney and Zingmark 1993) are actively
taking up these materials.
Oyster reefs are conspicuous components of tidal channels (Bahr &
Lanier 1981). Due to their abundance and tremendous filtration
capacities, bivalves have been implicated as major controllers of
nutrient cycling in estuarine ecosystems (Dame 1996). The rates
inorganic nutrient release from intertidal oyster reefs is seasonal
with high values in the summer and low values in winter (Dame et al.
1989). Although oysters cover on average 40% of intertidal channel
bottoms, our recent experiments comparing intertidal channels with
oysters and with oysters removed showed that oysters are not the
dominant source of inorganic nutrients (Dame et al. 2002). Instead,
much to our surprise, we discovered that seasonal abundances of MLOs
can dwarf the biomass of the bivalves by an order of magnitude (Dame
et al. 2000b). Summer biomass densities
often exceeding 100 g/m3 were composed of numerous
transient species (young-of-the-year spot (Leiostomas xanthurus),
pinfish (Lagodon rhomboides), mullets (Mugil spp.),
and penaeid shrimps) and, to a lesser degree, resident species (e.g.
grass shrimps (Palaemonetes spp.), mummichogs (Fundulus
heteroclitus)). Using nekton biomass estimates from
Creek, some limited literature estimates, and some preliminary data
on nekton excretion by (S. Haertel unpublished), we estimate that
nutrient production by MLOs may be 5 times higher than that of
bivalves and constitute a dominant source of nutrients (Table 1).
Thus, the MLOs are an unappreciated source of nutrients in
marsh-estuarine ecosystems and as such may be a major force
controlling the structure and function of the marsh-estuarine
ecosystem, particularly the ICMBs. This information has led us to
ask and explore the following core question:
What
is the role of mobile link organisms (MLOs) in the processing and
flux of materials in intertidal channel-marsh basins (ICMBs)?
Nekton are
prominent MLOs of ICMBs (Dame and Allen 1996, Kneib 1997). Although
there is a growing amount of information on the role of fish and
other MLOs in nutrient cycling in freshwaters (Northcote 1988,
Carpenter et al. 1992, Schindler et al. 1993, Brabrand et al 1990,
Reinertsen et al. 1990, Attayde and Hansson 2001a, b), relatively
little attention has been paid to the potential of MLOs to mediate
nutrient fluxes in marine and estuarine systems (Deegan 1993,
Gottlieb 1998, Hjerne and Hansson 2002). One exception to this is in
regard to aquaculture in fish ponds and pens (Hargreaves 1998).
Major early studies in North Inlet, the “Outwelling” (Dame et al.
1986) and “Bly Creek” (Dame et al. 1991) studies, did not consider
the role of MLOs (nekton). These animals use tidal channels and
marshes as developmental and foraging zones, often modifying the
habitat with their activities. Results from our recently completed
study on the role of oysters in these habitats indicated that MLOs
use of tidal channel habitat could be almost two orders of magnitude
greater in summer than winter (Dame et al. in 2002). The seasonal
increase of MLOs coincides with the seasonal curve of DIN, and
particularly with NH4 (Fig. 1). This makes sense,
especially if one assumes that high rates feeding and
inorganic nutrient excretion occur in summer when nekton are most
abundant and most metabolically active. We
also recognize the potential contributions of other types of MLOs in
the system. Wading birds, including egrets, herons, and storks, feed
and excrete within the ICMBs. Bottlenose dolphins and sea turtles
occur in the ICMBs. We will use field census data and literature
reports to estimate feeding and excretion rates for birds, reptiles,
and mammals.
Proposed Research
As part of our continuing efforts to understand the structure and
function of coastal estuaries, we propose to investigate the role of
MLOs in nutrient processing within ICMBs. Our main objective is to
ascertain the magnitudes and timing of material fluxes attributable
to MLOs in ICMBs as a measure of their importance in the
marsh-estuarine ecosystem.
Hypothesis 1:
MLOs are major biological sources of dissolved inorganic nutrients
in the ICMBs.
Alternatively, MLOs are relatively minor sources of dissolved
inorganic nutrients in ICMBs. Other potentially important sources
are the mudflats (sediments with associated microbes and benthos),
the water column (microbial loop), the oyster reefs (not supported
by previous study) and the salt marsh (not supported by previous
work).
Sub-hypotheses
regarding sources and locations of MLO nutrient contributions.
1. MLO contributions of
dissolved inorganic nutrients within ICMBs are mostly associated
with excretion following periods of feeding.
2. In remobilizing dissolved
inorganic nutrients sequestered in the sediments through
bioturbation, the foraging activities of MLOs in ICMBs account for a
major portion of the overall flux to the water.
3. Maximum nutrient
remobilization occurs when MLOs forage in mudflat subsystems.
Hypothesis 2: Transient MLOs
(biomass) comprise a major sink for nitrogen and phosphorus in the
ICMBs.
An alternative
possibility is that the resident MLOs (biomass) comprise a greater
sink for nitrogen and phosphorus.
Subhypothesis:
The majority of MLO biomass
occupying subtidal channel refuges at low tide moves into the
intertidal channels and drainage basins during the flood tide,
acquires and stores N and P, and exports it from the ICMBs.
General strategy:
The proposed research combines:
a)
seasonal synoptic
field sampling to determine nutrient fluxes for all major ICMB
subsystems and corresponding patterns of MLOs occurrence in ICMBs;
b)
a large-scale
manipulative experiment involving exclusion of MLOs from half of the
ICMBs after the initial year of field measurements;
c)
small-scale field
and laboratory-based experiments designed to derive estimates of
nutrient excretion by MLOs.
Site
The location of our study is North
Inlet Estuary near Georgetown, SC. This pristine system has been the
focus of many ecosystem studies that quantified fluxes of materials
between the estuary and coastal ocean (Dame et al. 1986) and between
large components of a salt marsh basin influenced by freshwater
inputs (Dame et al. 1991). Most recently, we have conducted a study
on the role of oysters in a group of ICMBs in the North Inlet system
(Dame et al. 2002). Our proposed work seeks to expand our
understanding of the role of MLOs in these same ICMBs. These ICMBs
are ideally suited for the proposed study because we have so much
pertinent background information on their geomorphological,
hydrological, chemical, and biological features.
Unlike many estuaries,
North Inlet and its surrounding forested uplands are undeveloped and
in their natural state. Semi-diurnal tides keep the system well
mixed and well flushed. Approximately half of the water leaves the
estuary with each ebbing tide and is replaced with ocean water on
the subsequent flooding tide (Kjerfve et al. 1981). The North Inlet
Estuary is comprised of about 15 primary subtidal channels (10-100 m
wide, 1000s m long). Hundreds of intertidal channels (1-3 m wide,
100-400 m in length) extend into the surrounding marshes where they
function as ICMBs allowing for the exchange of water and materials
as the tide floods and ebbs. Our proposed study will focus on a
representative subset of these ICMBs.
As a warm temperate system, North
Inlet water temperature and light exhibit a typical seasonal pattern
of high values in the summer and low values in the winter. Thus,
rates of biotic processes that potentially influence nutrient
concentrations (photosynthesis, respiration, feeding, excretion,
etc.) are higher in the summer. Our recent studies in the ICMBs of
North Inlet clearly showed that light, temperature, ammonium
concentrations, photosynthesis, metabolic rates, growth, transient
nekton biomass, etc., all appear to peak in the summer (Lewitus et
al. 1998, Dame et al. 2002). This synchronous seasonal pulsing
persisted during strong environmental events such as the ENSO of
1998-99 or hurricane Floyd of 1999 (Fig. 1).
Field Sampling-Year
One: surveys, calibrations, and methods development
The configuration of a typical ICMB in the North Inlet Estuary is shown
in Figure 2. Each ICMB has a single intertidal channel, which serves
as the primary conduit of exchange with the adjacent subtidal
channel. Flooding tides extend along the channel axis covering
intertidal mudflats and oyster reefs and when the channel is full,
water begins to cover the vegetated surface of the marsh. Depending
on the astronomical and wind-modified height of the high tide, water
depth on the marsh surface at high tide may be from a few to about
100 cm, but the duration of flooding is usually less than 2 h of the
typical 12.8 h tidal cycle. Fairly well defined drainage basins can
be identified on the marsh, and, for most high tides, all flood
waters return (ebb) to the intertidal channel from which they were
delivered to the marsh. We will identify the outer boundaries for
each ICMB on a high tide that stops short of mixing with an adjacent
basin. Sampling will be scheduled only on dates when the predicted
high tide levels would be expected to approach but not extend beyond
the basin’s boundaries. Thus, during a flood-ebb cycle each ICMB
functions independently.
Our three-year research plan will focus on the characterization,
monitoring, and partial manipulation of four ICMBs in the North
Inlet Estuary. In the first year, the ICMBs will be surveyed to
determine elevations, total area, and the locations and sizes of the
subsystems. These GIS databases and models of the landscape combined
with hydrographic measurements will provide us with information
necessary to calculate the flux of water and dissolved constituents
between the subtidal channel and the intertidal basin. From these
survey and calibration efforts, we will determine the locations of
sampling transects and chamber installations, the frequency and
number of sample collections, and other related methods as described
in the following pages.
Besides defining the spatial and
temporal dimensions of the sampling program, we will assess human
resource needs, refine sample analysis techniques, and establish
data management protocol. Other activities during the first year
will include the construction of boardwalks and other
access/collection infrastructure that will be necessary to minimize
short-and long-term impacts (primarily trampling) on the basins. We
will also design and test the in situ chambers to determine
nutrient changes in the subsystems (described below).
Seasonal synoptic
samplings and weekly water collections
Formal sampling to test our
hypothesis that MLOs are the primary source of dissolved
inorganic nutrients in the ICMBs will begin in the second year and
continue through the third year. Based on our experience over more
than twenty years of monitoring and recent collections during the
Creek Project, we have identified five periods within the annual
cycle during which environmental conditions and nekton composition
(species, life stages, relative and actual abundance) are
distinctive. Our proposed target dates are mid- February, mid-May,
mid-July, early September, and mid-October (Ogburn, et al. 1988).
During each period, we will sample
all four ICMBs on each of two dates separated by about two weeks.
This timing will allow us to sample a similar 13-hour period from
morning low tide to evening low tide. Because of the lunar-regulated
progression of tides, predicted high tide levels will guide our
choice of dates that can be treated as replicates in the analysis.
Logistical constraints, disturbance impacts, and the probability of
adverse weather conditions limit the frequency and number of times
each basin can be sampled per period.
However, because sudden rainfall events associated with typical
summer thunderstorms resuspend sediments and likely cause changes in
dissolved and particulate fluxes, we will be prepared to collect
data on a third date for comparison. Logistic and safety limitations
associated with sampling at night will force us to confine the
regular seasonal synoptic samplings to the daylight hours. We will
sample at least one complete nocturnal tidal cycle on another summer
date.
Synoptic collections of water and
physical data will form the basis of our spatial comparison of
nutrient concentrations and other conditions at various locations
within each ICMB. Current velocity will be measured in the
intertidal channel cross-sections. Since we will also need to
understand the relationship between the intertidal basin and the
subtidal channel that serves as the source of water during the
flooding tide and recipient during the ebb tide, we will make a
simultaneous set of velocity measurements in the subtidal channel
cross-section. Determination of material fluxes in marsh-estuarine
tidal channels requires the estimation of material concentrations
and the concurrent observation of water discharge. The cross
multiplication of water discharge and material concentration values
yields material flux estimates. Early studies (Boon 1978, Kjerfve
and Proehl 1979, Kjerfve et al. 1981, Roman 1984) showed that
lateral cross sectional variations in both material concentrations
and water velocities must be accounted for in any determination of
material exchanges in marsh-estuarine tidal channels. They also
noted that the numerical value for water volume per unit time was
much larger than the corresponding material concentration terms.
Thus, small errors in measuring water velocity and calculating water
discharge could potentially lead to large errors in material flux
estimates (Kjerfve and Proehl 1979, Valiela et al. 1980, Roman 1984,
Kremer et al. 2000). Further, stochastic climatic events, i.e.,
storms, may overwhelm day-to-day flux estimates (Kremer et al.
2000). This problem is particularly evident in macro-tidal (range >4
m) systems with high water velocities and large discharges (Lane et
al. 1997). In order to minimize errors in estimating material
exchanges in our meso-tidal (avg. tidal range 1.8 m and water
velocities usually less than 30 cm/s) channels, we will
comprehensively assess lateral and vertical water velocity and
material concentrations over a typical tidal cycle in each of our
intertidal and subtidal channel cross-sections with a calibration
study using a dense spatial and temporal sampling array. This method
was suggested by Kjerfve and Proehl (1979) and Roman (1984), and
extensively used by our team in the past (Kjerfve et al. 1981, Dame
et al. 1986, 1991). It is important to note that former measuring
devices were accurate to 1-4 cm/s. We will measure water velocities
with mini ADV (Acoustic Doppler Velocity) meters that have an
accuracy of 0.1 cm/s at a water velocity of 10 cm/s, an order of
magnitude more accurate than the previous devices. Thus, by using
much more accurate ADV meters, working in low flow tidal channels
and calibrating each cross-section as described above, we are
confident that we will observe significant differences in material
fluxes for ICMBs with MLOs and with MLOs excluded.
Water samples will be collected at
the same time the physical measurements are made at each
cross-section during the 13-hour series. The samples will be iced
and immediately taken to the nearby BML. Water samples will be
processed and analyzed using standard techniques for the following
measurements: suspended organic and inorganic material by filtering
through glass fiber filters and weighing; ammonium concentrations
using a Technicon AutoAnalyzer technique (Glibert and Loder 1977);
nitrate + nitrite by cadmium reduction with autoanalysis of nitrite
(Glibert and Loder 1977); orthophosphate will be analyzed using the
Murphy and Riley (1962) method as applied to autoanalysis by Glibert
and Loder (1977); urea will be measured by the urease method (Parson
et al. 1984); C, N, P proportions of MLO
biomass will be determined by standard techniques; and
chlorophyll a using the freeze-thaw acetone procedure of
Glover and Morris (1979), In addition to the chemical analyses of
water samples collected during the replicated, intensive, 13 hour
(seasonal) sampling series within the ICMBs in Year 2, we will
collect and process samples once each week during both Years 2 and
3. Samples will be collected from the same intertidal cross-sections
at mid ebb tide to track changes in nutrient concentrations that may
be associated with short-term (storms) and long-term stochastic
events (ENSO).
These sampling programs will provide
an understanding of nutrient dynamics at the ICMB system scale.
Since we are also interested in the relative roles of the subsystems
(Fig. 2) as processors of materials within the intertidal areas, we
will conduct another series of measurements. During each seasonal
sampling (13 hour series), we will conduct short-term experiments to
determine changes in material concentrations within each subsystem
type. We propose to install in situ chambers in three benthic
subsystems. A fourth type of chamber will be installed in each ICMB
to measure nutrient generation by zooplankton and other water column
biota smaller than 5 mm. Each subsystem
type will be replicated among creeks. We believe that this
approach will yield more representative results than land-based
mesocosms. The proposed chambers will consist of two long, parallel
walls permanently fixed in the sediment and two removable watertight
end plates. The water column chamber will have a solid Plexiglas
bottom instead of a sediment interface. At one to two hour
intervals, the end plates of these flume-like chambers will be
closed trapping a parcel of tidal water for a short incubation
period. Chamber size will be determined by the average size of the
mudflat and oyster patches in the intertidal channel beds, but we
will strive for the largest practical size to reduce artifacts that
are associated with small containment devices (Asmus et al. 1998,
Gardner, et al. 2001). Water collections at the beginning and
end of each incubation period will allow us to estimate the extent
to which the different bottom types and associated microbial and
macro-biota (mud, mud with marsh vegetation, mud with oysters) alter
materials in the overlying water column. We have chosen to keep the
incubation periods short (probably on the order of 10 minutes, to be
determined in year one) in order to reduce unforeseen feedbacks
associated with a closed system. We will screen the ends of all
chambers to exclude MLOs from the parcels of water captured. This
procedure will allow us to assess nutrient changes in the water
column that are only associated with the benthic subsystem of
interest. However, we will address the contributions of MLOs
associated with these different bottom types in another set of
experiments described in the section on nekton excretion and
bioturbation below.
During each 13-hour sampling period, synoptic measurements and water
samples will be collected at these intertidal subsystem chambers as
well as at the intertidal and subtidal cross-sections. A team of
participants stationed along each ICMB will respond to horn signals
to ensure synoptic collections. As the actual number of locations
and frequency of collections within each ICMB will not be determined
until the Year 1 calibration studies are complete, we anticipate
between 60-80 water samples per ICMB per date. About 2800 samples
would be produced during the ten proposed 13 hr studies in Years 2 &
3.
MLO Sampling
MLO occupation of the ICMB and
subtidal channels will be quantified during all of the 13-hour
studies in Years 2 and 3. In the intertidal area, we will use
non-destructive methods to determine characteristics of the fishes,
shrimps, and crabs as they depart the creek during the ebbing tide.
At slack high tide, a funnel net will be set near the intertidal
channel cross-section and MLOs moving toward the subtidal channel
with the ebbing tide will be quantified (Cain and Dean 1976, Bozeman
and Dean 1980, Rozas et al. 1988, Hettler 1989). Motile animals
larger than 15 mm will be retained by the mesh and shunted through
the open down-tide end of the net and across a long chute into the
subtidal channel refuge with minimal disturbance. We will use video
recordings from cameras mounted above the chutes to acquire
abundance information. A pair of observers will verify species
composition, and remove sub-samples to determine size distributions,
weights and chemical composition. At low
tide, seines will be used to collect MLOs remaining in low tide
refuges (pools) within the intertidal basin (Allen et al. 1992). To
test of Hypothesis 2, we will sub-sample nekton remaining, entering
and leaving the ICMBs as well as conduct tissue (C-N-P) analyses. In
order to quantify MLOs prey consumption within the ICMBs relative to
the subtidal channel refuges, we will conduct quantitative analyses
of the gut contents of a subset of fishes on each sampling date.
These efforts will provide very complete information on feeding and
estimates of material exported from the ICMBs.
MLOs associated fluxes in the
specific intertidal subsystems will be on days other than routine
samplings. By closing the open-ended subsystem chambers and
quantifying the MLO present, we will be able to estimate MLO use of
the different bottom types at different stages of the tide. These
kinds of chambers or flumes have been used to quantify MLO in a
variety of estuarine habitats (McIvor and Odum 1986, Peterson and
Turner 1994, Rozas and Minello 1997). These data, combined with MLO
density data from the proposed whole basin chute sampling, historic
data from these sites, results from the MLO-excluded subsystem
chamber experiments, and results of the excretion experiments
(below), will enable us to estimate MLO material processing for each
of the subsystems.
In order to quantify our current
understanding that most of the small MLOs leave the subtidal areas
and occupy intertidal areas when they are flooded, we will also
quantify the species composition and biomass of MLO in the subtidal
channel using a flume technique that has been designed and tested in
intertidal systems (Bretsch and Allen ongoing). We are confident
that this new and highly efficient method can be adapted to areas.
These data combined with the synoptic water samples will allow us to
examine the relationship between MLOs and nutrient levels in the
subtidal channel at different stages of the tide.
MLO exclusion experiments.
A replicated BACI (Before-After
Control-Impact) design (Stewart-Oaten ET al.1986, Dame et al. 2000b)
will be used to evaluate the contribution of MLO to nutrients with
the ICMBs. Due to many limitations including small numbers of
experimental systems, time, logistics, and expenses, adequate
replication is often difficult to achieve in ecosystem experiments
(Carpenter 1989). In such cases, paired-system experiments (one
reference and one experimental system) are often preferable, even
though classical statistics cannot be used to detect manipulation
effects (Carpenter 1989). BACI is a method to identify non-random
changes in manipulated systems. In an expanded version with
replicated controls (Underwood 1994, Dame et al. 2000b). Based on
our past work (Dame et al. 2002), we propose to use BACI to test the
effect of MLOs in this study as well.
In the third (final) year, we will
randomly select two of the four ICMBs and construct plastic mesh
fences around their perimeters to exclude MLOs (>10 mm). The basin
will be fenced at low tide and any MLOs remaining in pools or
stranded during subsequent ebb tides will be removed. After three
days (six consecutive low tides), the basin should be almost devoid
of MLOs. The 13-hour sampling will begin on the fourth day. A
preliminary trial to exclude MLOs from several intertidal basins was
successful, and we are confident that we can accomplish this
large-scale manipulation.
Water chemistry and physical measurements identical to those made in Year 2 will be made in the
ICMBs with and without MLOs. In this experimental design, both the ‘impacted’ and ‘control’ ICMBs will be
sampled before and after the impact. This approach will allow us to test whether MLOs contribute
significantly to material fluxes in the ICMBs.
Laboratory and field
based excretion experiments
During each period in Years 2 and 3,
nutrient production by MLOs and the relative importance of excretion
versus bioturbation for MLO-mediated nutrient regeneration
will be measured in a set of field experiments using common species
held in closed systems. Since excretion rates depend on many
ecological and physiological conditions including body size,
condition, diet, and temperature (Mather et al. 1995), we will
measure them in situ. MLOs that have fed in the intertidal
basin during the high tide will be collected during the ebbing tide.
Individuals will be transferred to bags with 1 µm-filtered ICMB
water and incubated in the field. Nutrient release will be measured
after 2 -3 h (Schaus et al.1997). Ten replicates (plus MLOs-less
controls) will be run for each major species and size class.
Preliminary experiments were run in summer 2001 with spot, pinfish,
and penaeid shrimp. Using a range of biomass densities (0.6 – 4.5 g
l-1) resulted in ammonia excretion rates of 1.6 – 6.9
µM
g-1 wet weight h-1.
These changes are easily detected above background concentrations
and suggest that the signal related to nekton activity in the ICMBs
will be detectable in the field studies.
The relative importance of nutrient
regeneration through bioturbation compared to excretion by feeding
MLOs will be assessed in a set of laboratory-based tank experiments
in which MLOs are provided with natural foods in sediments or
deprived of access to sediments (through a mesh screen) but provided
the same source of food above the sediments (Havens 1991, Schaus &
Vanni 2000). These experiments will test differences in the extent
of bioturbation and associated nutrient releases as a function of
species assemblage, bottom type (e.g. vegetated mud, oyster
shell/reef), and time of exposure. During preliminary experiments in
March 2002, bioturbation was found to be negligible. The nekton
community at this time of the year is, however, dominated by small
spot and grass shrimp, and we expect different results when we
repeat this experiment with the more diverse summer assemblage
dominated by larger young-of-the-year nekton in August.
Together these independent
measurements of excretion rates and the relative importance of
bioturbation will enable us to estimate the amount of nutrients
contributed by the MLOs, and give insight into the mechanisms
involved. The nutrient production rates coupled with estimates of
MLOs composition and biomass from the field studies will be used to
estimate the total nutrient production potential of the MLOs for
each basin on each date, and can be compared to the field estimates
during the exclusion and the intertidal subsystem chamber
experiments.
We have proposed to: (1) determine the seasonal fluxes of materials (including MLOs) and water
simultaneously in four ICMBs, (2) perform a set of small and intermediate scale laboratory and field
experiments to quantify material fluxes by the major subsystems of the ICMBs, (3) establish material
flux relationships between the major subsystems of the ICMBs, and (4) conduct an ICMB scale
exclusion experiment to determine the relative contribution of MLOs to the pool of dissolved inorganic
nutrients. Together, these independent but coordinated field and laboratory studies will allow us to
test our hypotheses and subhypotheses and provide quantitative information on the adequacy of
several general ecological boundary theories. These observations and experiments will lead us to a
greater understanding of these highly productive and threatened ecosystems. More specifically,
results will provide the first comprehensive and quantitative data on the role of MLOs in processing
and transporting materials within the ICMBs and between the intertidal and subtidal channels.
REFERENCES
CITED
Ahn H and James RT.
2001. Variability, uncertainty, and sensitivity of phosphorus
deposition load estimates in South Florida. Water, Air, and Soil
Pollution 126:37-51.
Allen DM, Service
SK, and Ogburn-Matthews MV. 1992. Factors affecting collection
efficiency of estuarine fishes. Transactions of the American
Fisheries Society 122:234-244.
Alongi DM. 1998.
Coastal Ecosystem Processes. CRC Press, Boca Raton, 419 pp.
Asmus RM, Jensen
MH, Jensen KM, Kristensen E, Asmus H, and Wille A. 1998. The role of
water movement and spatial scaling for measurement of dissolved
inorganic nitrogen fluxes in intertidal sediments. Estuarine,
Coastal and Shelf Science 46:221-232.
Attayde JL and
Hansson L-A. 2001a. The relative importance of fish predation and
excretion effects on planktonic communities. Limnology and
Oceanography 46:1001-1012.
Attayde JL and
Hansson L-A. 2001b. Fish-mediated nutrient cycling and the trophic
cascade in lakes. Canadian Journal of Fisheries and Aquatic
Sciences 58:1924-1931.
Augustine DJ and
McNaughton SJ. 1998. Ungulate effects on the functional species
composition of plant communities: Herbivore selectivity and plant
tolerance. Journal of Wildlife Management 62:1165-1183.
Azam FT, Fenchel T,
Field JG, Meyer-Reil LA and Thingstad F. 1983. The ecological role
of water-column microbes in the sea. Marine Ecology Progress
Series 10:257-263.
Bahr LM and Lanier
WP. 1981. The Ecology of Intertidal Oyster Reefs of the South
Atlantic Coast: A Community Profile, FWS/OBS-81/15, US Fish and
Wildlife Service, 105 pp.
Bautista B,
Rodriguez V and Jimenez F. 1988. Short-term feeding rates of
Acartia grani in natural conditions: Diurnal variation. Journal of
Plankton Research 10: 907-920.
Beck MW, Heck, Jr.
KL, Able KW, Childers DL, Eggleston DB, Gillanders BM, Halpern B,
Hays CG, Hoshino K, Minello TJ, Orth RJ, Sheridan PF and Weinstein
MP. 2001. The identification, conservation, and management of
estuarine and marine nurseries for fish and invertebrates.
BioScience 51:633-641.
Boesch DF and
Turner RE. 1984. Dependence of fishery species on salt marshes: the
role of food and refuge. Estuaries 7:460-468.
Boon JD. 1978.
Suspended solids transport in a salt marsh creek – an analysis of
errors. In: Kjerfve B (Ed.), Estuarine Transport Processes.
University of South Carolina Press, Columbia, South Carolina.
Bozeman, Jr. EL and
Dean JM. 1980. The abundance of estuarine larval and juvenile fish
in a South Carolina intertidal creek. Estuaries 3:89-97.
Brabrand AB,
Faafeng A and Nilssen JPM. 1990. Relative importance of phosphorus
supply to phytoplankton production: fish excretion versus external
loading. Canadian Journal of Fisheries and Aquatic Sciences
47:364-372.
Cain RL and Dean JM.
1976. Annual occurrence, abundance, and diversity of fish in a South
Carolina intertidal creek. Marine Biology 36:369-379.
Capriullo GM. 1990.
Feeding-related ecology of marine protozoa. In: Capriulo GM (Ed.),
Ecology of Marine Protozoa. Oxford University Press, NY, pp.
186-259.
Caraco NF, Cole JJ, Raymond PA, Strayer DL, Pace ML, Findlay SG and
Fischer DT. 1997. Zebra mussel invasion in a large, turbid river:
phytoplankton response to increased grazing. Ecology
78:588-602.
Caron DA and
Goldman JC. 1988. Dynamics of protistan carbon and nutrient cycling.
Journal of Protozoology 35: 247-249.
Carpenter SR. 1989.
Replication and treatments strength in whole-lake experiments.
Ecology 70: 453-463.
Carpenter SR, Kraft
CE, Wright R, He X, Sorano PA and Hodgson JR. 1992. Resilience and
resistance of a lake phosphorus cycle before and after food web
manipulation. American Naturalist 140:781-798.
Chalmers AG,
Wiegert RG and Wolf Pl. 1985. Carbon balance in a salt marsh:
Interactions of diffusive export, tidal deposition and
rainfall-caused erosion. Estuarine, Coastal and Shelf Science
21:757-771.
Childers DL,
McKellar HN, Dame RF, Sklar FH and Blood ER. 1993. A dynamic
nutrient budget of subsystem interactions in a salt marsh estuary.
Estuarine, Coastal and Shelf Science 36:105-131.
Clements FE. 1920.
Plant Indicators. Carnegie Institute Publication No. 290.
Washington, DC.
Coleman FC and
Williams SL. 2002. Overexploiting marine ecosystem engineers:
potential consequences for biodiversity. Trends in Ecology and
Evolution 17:40-44.
Dame RF. 1996.
Ecology of Marine Bivalves: An Ecosystem Approach. CRC Press,
Boca Raton, Florida, USA, 254 pp.
Dame RF, Alber M,
Allen D, Mallin M, Montague C, Lewitus A, Chalmers A, Gardner R,
Gilman C, Kjerfve B, Pinckney J and Smith N. 2000a. Estuaries of the
south Atlantic coast of North America: Their geographical
signatures. Estuaries 23:793-619.
Dame RF and Allen
DM. 1996. Between estuaries and the sea. Journal of Experimental
Marine Biology and Ecology 200:169-185.
Dame R, Bushek D,
Allen D, Edwards D, Gregory L, Lewitus A, Crawford S, Koepfler E,
Corbett C, Kjerfve B and Prins T. 2000b. The experimental analysis
of tidal creeks dominated by oyster reefs: the pre-manipulation
year. Journal of Shellfish Research 19:361-369.
Dame R, Bushek D,
Allen D, Lewitus A, Edwards D, Koepfler E and Gregory L. 2002.
Ecosystem response to bivalve density reduction: management
implications. Aquatic Ecology 36:51-65.
Dame RF,
Chrzanowski TH, Bildstein R, Kjerfve B, McKellar H, Nelson D,
Spurrier J, Stancyk S, Stevenson H, Vernberg F and Zingmark R. 1986.
The outwelling hypothesis and North Inlet, South Carolina. Marine
Ecology Progress Series 33:217-229.
Dame R, Gregory L
and Koepfler E. 2000c. Benthic-pelagic coupling in marsh-estuarine
ecosystems. In: Weinstein M and Kreeger D (Eds.), Concepts and
Controversies in Tidal Marsh Ecology Kluwer, Amsterdam, pp.
369-390.
Dame RF, Spurrier
JD, Williams T, Kjerfve B, Zingmark R, Wolaver T, Chrzanowski T,
McKellar H and Vernberg J. 1991. Annual material processing by a
salt marsh-estuarine basin in South Carolina, USA. Marine Ecology
Progress Series 71:153-166.
Dame RF, Spurrier
JD and Wolaver TG. 1989. Carbon, nitrogen and phosphorus processing
by an oyster reef. Marine Ecology Progress Series 54:249-256.
Deegan LA. 1993.
Nutrient and energy transport between estuaries and coastal marine
ecosystems by fish migration. Canadian Journal of Fisheries and
Aquatic Sciences 50:74-79.
Fagherazzi S,
Bortoluzzi A Dietrich WE, Adami A, Lanzoni S, Marani M and Rinaldo
A. 1999. Tidal Networks. 1. Automatic network extraction and
preliminary scaling features from digital terrain maps. Water
Resources Research 35:3891-3904.
Fisher SG, Welter
J, Shade J and Henry J. 2001. Landscape challenges to ecosystem
thinking: Creative flood and drought in the American Southwest.
Scientia Marina 65 (Suppl. 2):181-192.
Fisher TR, Carlton
PR and Barber RT. 1982. Sediment nutrient regeneration in three
North Carolina estuaries. Estuarine, Coastal Shelf Science
14:101-116.
Fitz HC and Wiegert
RG. 1991. Utilization of the intertidal zone of a salt marsh by the
blue crab Callinectes sapidus: density, return frequency, and
feeding habits. Marine Ecology Progress Series 76:249-260.
Frank DA. 1998.
Ungulate regulation of ecosystem processes in Yellowstone National
Park: Direct and feedback effects. Wildlife Society Bulletin
26:410-418.
Gardner RH, Kemp
WM, Kennedy VS and Petersen JE (Eds.). 2001. Scaling Relations in
Experimental Ecology. Columbia University Press, New York. 373
pp.
Gaudy R Cervetto G
and Pagano M. 2000. Comparison of the metabolism of Acartia
clausi and A. tonsa: Influence of temperature and
salinity. Journal of Experimental Marine Biology and Ecology
247:51-65.
Geesey GG,
Alexander GV, Bray RN and Miller AC. 1984. Fish fecal pellets are a
source of minerals for inshore reef communities. Marine Ecology
Progress Series 15:19-25.
Glibert P and Loder
T. 1977. Automated analyses of nutrients in seawater. Woods Hole
Oceanographic Institute Technical Report WHOI 77-47, 47 pp.
Glover HE and
Morris I. 1979. Photosynthetic carboxylating enzymes in marine
phytoplankton. Limnology and Oceanography 23:510-519.
Gottlieb SJ. 1998.
Nutrient removal by age-0 Atlantic menhaden (Brevoortia tyrranus)
in Chesapeake Bay and implications for seasonal management of the
fishery. Ecological Modelling 112:111-130.
Grimm NB. 1995. Why
link species and ecosystems: A perspective from ecosystem ecology.
In: Jones CG and Lawton JH (Eds), Linking Species and Ecosystems,
Chapman and Hall, NY, pp. 5-15.
Gross HP,
Wurtsbaugh WA and Juecke C. 1998. The role of anadromous sockeye
salmon in the nutrient loading and productivity of Redfish Lake,
Idaho. Transactions of the American Fisheries Society
127:1-18.
Hannon B and Ruth
M. 1994. Dynamic Modeling. Springer-Verlag, New York.
Hargreaves JA.
1998. Review: Nitrogen biogeochemistry of aquaculture ponds.
Aquaculture 166:181-212.
Havens KE. 1991.
Fish-induced sediment resuspension: effects on phytoplankton biomass
and community structure in a shallow hypertrophic lake. Journal
of Plankton Research 13:11163-1176.
Hettler WF. 1989.
Nekton use of regularly flooded saltmarsh cordgrass habitat in North
Carolina, USA. Marine Ecology Progress Series 56:111-118.
Hjerne O and
Hansson S. 2002. The role of fish and fisheries in Baltic Sea
nutrient dynamics. Limnology and Oceanography 471023-1032.
Houde E and
Rutherford E. 1993. Recent trends in estuarine fisheries:
Predictions of fish production and yield. Estuaries
16:161-176.
Huxel GR and McCann
K. 1998. Food web stability: The influence of trophic flows across
habitats. American Naturalist 152:460-469.
Ikeda T, Kanno Y
Ozaki K and Shinada A. 2001. Metabolic rates of epipelagic marine
copepods as a function of body mass and temperature. Marine
Biology 139:587-596.
Irlandi EA and
Crawford MK. 1997. Habitat linkages: the effect of intertidal
saltmarshes and adjacent subtidal habitats on abundance, movement,
and growth of an estuarine fish. Oecologia 110:222-230.
Jones CG, Lawton JH
and Shachak M. 1994. Organisms as ecosystem engineers. Oikos
69:373-386.
Jones CG, Lawton JH
and Shachak M. 1997. Positive and negative effects of organisms as
physical ecosystem engineers. Ecology 78:1946-1957.
Jones RC. 1980.
Productivity of algal epiphytes in a Georgia salt marsh: effect of
inundation frequency and implication for total marsh productivity.
Estuaries 3:314-317.
Jordan TE and
Valiela I. 1983. Sedimentation and resuspension in a New England
salt marsh. Hydrobiology 98:179-184.
Kitchell JF,
O’Neill RV, Webb D, Gallepp GW, Bartell SM, Koonce JF and Ausmus BS.
1979. Consumer regulation of nutrient cycling. Bioscience
29:28-34.
Kitchell JF,
Schindler DE, Herwig BR, Post DM and Olson MH. 1999. Nutrient
cycling at the landscape scale: The role of diel foraging migrations
by geese at Bosque del Apache National Wildlife Refuge, New Mexico.
Limnology and Oceanography 44:828-836.
Kjerfve B and
Proehl JA. 1979. Velocity variability in a cross-section of a
well-mixed estuary. Journal of Marine Research 37:409-418.
Kjerfve B,
Stevenson LH, Proehl JA, Chrzanowski TH and Kitchens WM. 1981.
Estimation of material fluxes in an estuarine cross section: a
critical analysis of spatial measurement density and errors.
Limnology and Oceanography 6:325-335.
Kneib RT. 1997. The
role of tidal marshes in the ecology of estuarine nekton.
Oceanography and Marine Biology Annual Review. 35:163-220.
Kneib RT and Wagner
SL. 1994. Nekton use of vegetated marsh habitats at different stages
of tidal inundation. Marine Ecology Progress Series
106:227-238.
Kooijman SALM.
1993. Dynamic Energy Budges in Biological Systems. Cambridge
University Press, Cambridge.
Kremer JN, Kemp WM,
Giblin AE, Valiela I, Seitzenger SP and Hofmann EE. 2000. Linking
biogeochemical processes to higher trophic levels. In: Hobbie JE
(Ed.), Estuarine Science: A Synthetic Approach to Research and
Practice. Island Press, Washington, DC, pp. 299-341.
Laffaille P, Brosse
S, Feunteun E, Baisez A and Lefeuvre J-C. 1998. Role of fish
communities in particulate organic matter fluxes between salt
marshes and coastal marine waters in Mont Saint-Michel Bay.
Hydrobiologia 373/374:121-133.
Landry MR. 1993.
Predicting excretion rates of microzooplankton from carbon
metabolism and elemental ratios. Limnology and Oceanography
38:468-472.
Landry MR and
Hassett RP. 1982. Estimating the grazing impact of marine
micro-zooplankton. Marine Biology 67:283-288.
Lane A, Prandle D,
Harrison AJ, Jones PD, and Jarvis CJ. 1997. Measuring fluxes in
tidal estuaries: sensitivity to instrumentation and associated data
analyses. Estuarine, Coastal and Shelf Science 45:433-451.
Laurance WF, Didham
RK and Power ME. 2001. Ecological boundaries: a search for
synthesis. Trends in Ecology and Evolution 16:70-71.
Lawrence GB,
Goolsby DA, Battaglin WA and Stensland GJ. 2000. Atmospheric
nitrogen in the Mississippi River Basin – emissions, deposition and
transport. The Science of the Total Environment 248:87-99.
Lawton JH and Jones
CG. 1995. Linking species and ecosystems: organisms as ecosystem
engineers. In: Jones CG and Lawton JH (Eds.), Linking Species and
Ecosystems, Chapman and Hall, NY, pp. 141-150.
Lehrter JC, Pennock
JR and McManus BG. 1999. Microzooplankton grazing and nitrogen
excretion across a surface estuarine-coastal interface. Estuaries
22:113-125.
Levin LA, Boesch D,
Covich A, Dahm C, Erseus C, Ewel KC, Kneib RT, Moldenke A, Palmer
MA, Snelgrove P Strayer D and Weslawski JM. 2001. The function of
marine critical transition zones and the importance of sediment
biodiversity. Ecosystems 4:430-451.
Lewitus AJ,
Koepfler ET and Morris JT. 1998. Seasonal variation in the
regulation of phytoplankton by nitrogen and grazing in a salt marsh
estuary. Limnology and Oceanography 43:636-646.
Lonsdale DJ and
Coull BC. 1977. Composition and seasonality of zooplankton in North
Inlet, South Carolina. Chesapeake Science 18:272-283.
Lundberg J and
Moberg F. 2003. Mobile link organisms and ecosystem functioning:
Implications for ecosystem resilience and management. Ecosystems
6:87-98.
Macedo CF and
Pinto-Coelho RM. 2000. Diel variations in respiration, excretion
rates, and nutritional status of zooplankton from the Pampulha
reservoir, Belo Horizonte, MG. Journal of Experimental Zoology
286: 671-682.
Mackas D and Bohrer
R. 1976. Fluorescence analysis of zooplankton gut contents and an
investigation of diel feeding patterns. Journal of Experimental
Marine Biology and Ecology. 25: 77-85.
Mann KH. 2000.
Ecology of Coastal Waters: With Implications for management. 2nd
Edition. Oxford Science, Oxon. 406 pp.
Margalef R. 1968.
Perspectives in Ecological Theory. University of Chicago
Press, Chicago.
Mather ME, Vanni MJ,
Wissing TE, Davis SA and Schaus MH. 1995. Regeneration of nitrogen
by bluegill and gizzard shad: effect of feeding history. Canadian
Journal of Fisheries and Aquatic Sciences 52:2327-2338.
McIvor CC and Odum
WE. 1986. The flume net: a quantitative method for sampling fishes
and macrocrustaceans on tidal marsh surfaces. Estuaries
9:219-224.
Meyer JL and
Schultz ET. 1985. Migrating haemulid fishes as a source of nutrients
and organic matter on coral reefs. Limnology and Oceanography
30:146-156.
Middelburg JJ,
Klaver G, Nieuwenhuize J, Wielemaker, A, de Haas W, and Vlug van der
Nat JFWA. 1995. Organic matter mineralization in intertidal
sediments along an estuarine gradient. Marine Ecology Progress
Series 132:157-168.
Mitsch WJ and
Gosselink JG. 1993. Wetlands, Second Edition. Van Nostrand
Reinhold, New York. 722 pages.
Murphy J and Riley
J. 1962. A modified single solution method for the determination of
phosphate in natural waters. Analytica Chemica Acta 27:30.
Naiman RJ, Bilby
RE, Schindler DE and Helfield JM. 2002. Pacific salmon, nutrients,
and the dynamics of freshwater and riparian ecosystems.
Ecosystems 5:399-417.
Nixon SW. 1980.
Between coastal marshes and coastal waters—A review of twenty years
of speculations and research on the role of salt marshes in
estuarine productivity and water chemistry. In: Hamilton P and
McDonald P (Eds.), Estuarine and Wetland Processes, Plenum,
New York, pp. 437-525.
Nixon SW and Oviatt
CA. 1973. Ecology of a New England salt marsh. Ecological
Monographs 43:463-398.
Northcote TG. 1988.
Fish in the structure and function of freshwater ecosystems: a
"top-down" view. Canadian Journal of Fisheries and Aquatic
Sciences 45:361-379.
Odum EP. 1963.
Primary and secondary energy flow in relation to ecosystem
structure. Proceedings XVI International Congress of Zoology,
Washington, DC, pp. 336-338.
Odum HT and Odum
EC. 2000. Modeling for all Scales: An Introduction to System
Simulation. Academic Press, NY, pp. 103-108.
Odum WE, Fisher JS
and Pickral JC. 1979. Factors controlling the flux of particulate
organic carbon from wetlands. In: Jefferies RL and Davy AJ (Eds.),
Ecological Processes in Coastal Environments, Blackwell,
London, pp. 69-80.
Ogburn MV, Allen
DM, and Michener WK. 1988. Fishes, shrimps, and crabs of the North
Inlet Estuary: A four-year seine and trawl survey. Baruch
Institute Technical Report, No. 88-1, University of South
Carolina, Columbia., 299 pp.
Paerl HW. 1995.
Coastal eutrophication in relation to atmospheric deposition:
current perspectives. Ophelia 41:237-259.
Parsons TR, Maita
Yand Lalli CM. 1984. A manual of chemical and biological methods
for seawater analysis. Pergamon Press, Oxford.
Persson A. 1997.
Phosphorus release by fish in relation to external and internal load
in a eutrophic lake. Limnology and Oceanography 42:577-583.
Peterson, BJ,
Wollheim WM, Mulholland PJ, Webster JR, Meyer JL, Tank JL, Marti E,
Bowden WB, Valett HM, Hershey AE, McDowell WH, Dodds WK, Hamilton
SK, Gregory S, and Morrall DD. 2001. Control of nitrogen export from
watersheds by headwater streams. Science 292:86-90.
Peterson CH,
Summerson HC, Thomson E, Lenihan HS, Grabowski J, Manning L, Micheli
F and Johnson G. 2000. Synthesis of linkages between benthic and
fish communities as a key to protecting essential fish habitat.
Bulletin of Marine Science 66:759-774.
Peterson GW and
Turner RE. 1994. The value of salt marsh edge vs. interior as a
habitat for fish and decapod crustaceans in a Louisiana tidal marsh.
Estuaries 17:235-262.
Pinckney JL and
Zingmark RG. 1993. Modeling the annual production of intertidal
benthic microalgae in estuarine ecosystems. Journal of Phycology
29:396-407.
Pomeroy LR and
Wiegert RG (Eds.). 1981. The Ecology of a Salt Marsh.
Springer-Verlag, NY.
Poor N, Pribble R
and Greening H. 2001. Direct wet and dry deposition of ammonia,
nitric acid, ammonium and nitrate to Tampa Bay Estuary, Florida,
USA. Atmospheric Environment 35:3947-3955.
Post DM, Taylor JP,
Kitchell JF, Olson MH, Schindler DE and Herwig BR. 1998. The role of
migratory waterfowl as nutrient vectors in a managed wetland.
Conservation Biology 12:910-920.
Potthoff M and
Allen DM, (in press). Site fidelity, home range and tidal migrations
of juvenile pinfish, Lagodon rhomboides, in salt marsh
creeks. Environmental Biology of Fishes.
Reinertsen H,
Jensen A, Koksvik JI, Langeland A and Olsen Y. 1990. Effects of fish
removal on the limnetic ecosystem of a eutrophic lake. Canadian
Journal of Fisheries and Aquatic Sciences 47:166-173.
Ren JS and Ross AH.
2001. A dynamic energy budget model of the Pacific oyster
Crassostrea gigas. Ecological Modeling 142:105-120.
Roman CT. 1984.
Estimating water volume discharge through salt-marsh tidal channels:
An aspect of material exchange. Estuaries 7:259-264.
Rozas LP, McIvor PC
and Odum WE. 1988. Intertidal rivulets and creekbanks: corridors
between tidal creeks and marshes. Marine Ecology Progress Series
47:303-307.
Rozas LP and
Minello TJ. 1997. Estimating densities of small fishes and decapod
crustaceans in shallow estuarine habitats: a review of sampling
design with focus on gear selection. Estuaries 20:199-213.
Ryther JH and
Dunstan WM. 1971. Nitrogen, phosphorus, and eutrophication in the
coastal marine environment. Science 171:1008-1013.
Schaus MH, Vanni
TE, Wissing MT, Bremigan JE, Garvey JE and Stein RA. 1997. Nitrogen
and phosphorus excretion by detritivorous gizzard shad in a
reservoir ecosystem. Limnology and Oceanography 42:577-583.
Schaus MH and Vanni
TE. 2000. Effects of gizzard shad on phytoplankton and nutrient
dynamics: role of sediment feeding and fish size. Ecology
81:1701-1719.
Schindler DE. 1992.
Nutrient regeneration by sockeye salmon (Oncorhynchus nerka)
fry and subsequent effects on zooplankton and phytoplankton.
Canadian Journal of Fisheries and Aquatic Sciences 49:2498-2506.
Schindler DE,
Kitchell JF, He A, Carpenter SR, Hodgson JR and Cottingham KL. 1993.
Food web structure and phosphorus cycling in lakes. Transactions
of the American Fisheries Society 122:756-772.
Sellner KG,
Zingmark RG and Miller TG. 1976. Interpretations of the 14C
method of measuring total annual production of phytoplankton in a
South Carolina estuary. Botanica Marina 19:119-125.
Shelford VE. 1963.
The Ecology of North America. University of Illinois Press,
Urbana, Illinois.
Srna RF and
Baggaley A. 1976. The rate of excretion of ammonia by the hard clam
Mercenaria mercenaria and the oyster Crassostrea virginica.
Marine Biology 36:251-256.
Stevenson JC, Ward
LG and Kearney MS. 1988. Sediment transport and trapping in marsh
systems: implication of tidal flux studies. Marine Geology
80:37-59.
Stewart-Oaten A.
Murdoch WW and Parker KR. 1986. Environmental impact assessment: "Pseudoreplication"
in time? Ecology 67:929-940.
Sutton MA, Lee DS,
Dollard GJ and Fowler D. 1998. Introduction to atmospheric ammonia:
emission, deposition and environmental impacts. Atmospheric
Environment 32:269-271.
Teal JM. 1962.
Energy flow in the salt marsh ecosystem of Georgia. Ecology
43:614-624.
Thompson ML and
Schaffner LC. 2001. Population biology and secondary production of
the suspension feeding polychaete Cheatopterus cf.
variopedatus: implications for benthic-pelagic coupling in lower
Chesapeake Bay. Limnology and Oceanography 46:1899-1907.
Underwood AJ. 1994.
On beyond BACI: sampling designs that might reliably detect
environmental disturbances. Ecological Applications 4: 3-15.
Valiela I, Bowen JL,
Cole ML, Kroeger KD, Lawrence D, Pabich WJ, Tomasky G and Mazzilli
S. 2001. Following up on a Margalevian concept: Interactions and
exchanges among adjacent parcels of coastal landscapes. Scientia
Marina 65(Suppl. 2): 215-229.
Valiela I, Teal JM,
Volkmann S, Cogswell CM and Harrington RA. 1980. On the measurement
of tidal exchanges and groundwater flow in salt marshes.
Limnology and Oceanography 25:187-192.
Valiela I, Teal JM,
Volkmann S, Shafer D and Carpenter EJ. 1978. Nutrient and
particulate fluxes in a salt marsh ecosystem: tidal exchanges and
inputs by precipitation and groundwater. Limnology and
Oceanography 23:798-812.
Valiela I, Wright
JE, Teal JM and Volkmann SB. 1977. Growth, production and energy
transformations in the salt-marsh killifish Fundulus heteroclitus.
Marine Biology 40:135-144.
Vanni, MJ and Layne
CD. 1997. Nutrient recycling and herbivory as mechanisms in the
"top-down" effect of fish on algae in lakes. Ecology
78:21-40.
Vernberg FJ (Ed.).
1977. The Dynamics of an Estuary as a Natural System. EPA
Publication 600/377-016.
Vernberg FJ,
Vernberg WB, Blood E, Fortner A, Fulton M, McKellar H, Michener W,
Scott G, Siewicki T and El Figi K. 1992. Impact of urbanization on
high-salinity estuaries in the Southeastern United States.
Netherlands Journal of Sea Research 30:239-248.
Von Bodungen B and
Turner RK. 2001. Science and Integrated Coastal Management.
Dahlem University Press, Berlin, Germany.
Wang L Li C, Wang K
and Zhang W. 1998. Feeding activities of zooplankton in the Bohai
Sea. Fisheries Oceanography 7:265-271.
Webb SR and Kneib
RT. 2002. Abundance and distribution of juvenile white shrimp
Litopenaeus setiferus within a tidal marsh landscape. Marine
Ecology Progress Series 232:213-223.
Wetz MS, Lewitus AJ,
Koepfler ET and Hayes KC. 2002. Potential impact of preferential
feeding by the oyster, Crassostrea virginica, on salt marsh
microbial community structure. Aquatic Microbial Ecology
28:87-97.
Weinstein MP. 1979.
Shallow marsh habitats as primary nurseries for fishes and
shellfish, Cape Fear River, North Carolina. Fishery Bulletin
77:339-357.
Wesely ML and Hicks
BB. 2000. A review of the current status of knowledge on dry
deposition. Atmospheric Environment 34:2361-2382.
West JM and Zedler JB. 2000. Marsh-creek connectivity: fish use of a
tidal salt marsh in southern California. Estuaries
23:699-710.
Wheeler PA and
Kirchman DL. 1986. Utilization of inorganic and organic nitrogen by
bacteria in marine systems. Limnology and Oceanography
31:998-1009.
Whiting GJ and
Childers DL. 1989. Subtidal advective water flux as a potentially
important nutrient input to southeastern USA salt marsh estuaries.
Estuarine, Coastal and Shelf Science 28:417-431.
Whiting GJ,
McKellar HN, Spurrier JD and Wolaver TG. 1989. Nitrogen exchange
between a portion of vegetated salt marsh and the adjoining creek.
Limnology and Oceanography 34:463-473.
Woodwell GM,
Houghton RA, Hall CAS, Whitney DE, Moll RA and Juers DW. 1979. The
Flax Pond ecosystem study: the annual metabolism and nutrient budget
o f a salt marsh. In: Jefferies RL and Davy AJ (Eds.), Ecological
Processes in Coastal Environments, Blackwell, London, pp. 29-44.
Zedler JB. 1996.
Ecological issues in wetland mitigation: an introduction to the
forum. Ecological Applications 6:33-37.
Zimmer KD, Hanson
MA, Butler MG and Duffy WG. 2001. Influences of fathead minnows and
aquatic macrophytes on nutrient partitioning and ecosystem structure
in two prairie wetlands. Archiv fur Hydrobiologie
150:411-433.