Synopsis of Higher Trophic Level Meeting, Miami, FL

 

February 23-24, 2000

 

 

Introduction

            The focus of the meeting was inform new Florida Bay Science Panel member Ed Houde regarding higher tropic level research in Florida Bay, review progress on upper trophic level research, and to continue discussing performance measures (mid and long term).  Nancy Thompson acted as chair for the meeting.

 

March 21, 1998 Report of the HTL organizing group

 

Recommendations

 

1. Focus on salinity and its effects upon upper trophic level organisms.

2. Recognize regional differences.

3. Synthesize existing information in relation to Science Question #5 and, specifically, “How are higher trophic levels affected by freshwater inflow, particularly as it affects salinity?

 

Response

 

Synthesis projects were sponsored by FDEP, ENP, and NMFS.

 

Directive of the June, 1999, HTL Meeting

 

PMC Directive

 

Focus on performance measures.

 

Response of HTL Researchers.

 

Florida Bay performance measures have thus far been developed for pink shrimp, the American crocodile, and the spiny lobster.    A crocodile performance measure based on simulated salinities in Little Madeira Bay and a pink shrimp performance measure linked to water releases into Everglades National Park were used in the C&SF Restudy.

 

Progress Reports

           

1.  Darlene Johnson- Synthesis study using existing data to examine salinity effects upon forage fish/macroinvertebrate and mollusc communities

 

Synthesis Study

Twenty-four indicator species of fish and macroinvertebrates have been selected.  Existing data on forage fish and macroinvertebrates has been acquired and a data base is being developed to accommodate data sets and merge them together.  Data exists for the 70's, 80's, and 90's. 

 

Preliminary analyses of data has begun. Pink shrimp was selected as the first species to be analyzed based on economic and ecological importance (everybody eats pink shrimp).  Preliminary pink shrimp analyses and statistical models were presented for 1994-1997 FMRI data  Three other data sets (Thayer & Powell, Sogard & Matheson) will be integrated into the model in the future.  Strong basin effects and month (spatial and temporal) were found along with bottom type (obtained from USGS bottom type studies), percent of basin with depths less than one, tidal amplitude, and salinity (lagged 3 months).  Jim Colvocoresses recommended that the data be converted to density using information available for each gear.  Jim Colvocoresses noted model results were being affected by inaccuracies in USGS bottom type information.  The bottom-type information did not match observed bottom vegetation at fixed stations. It was suggested we put together an improved seagrass map based on a coverage residing at FMRI (see Frank Sargent) developed from aerial survey data and groundtruthed by Jim Fourqurean.  This could be augmented/fine-tuned/corrected by data collected by Durako and Hall (FMRI) for 10 Florida Bay basins.  In addition, recorded observations on vegetation at fixed stations could also be used to improve the map.  Observations were made on only about half of the Colvocoresses samples, however data collected by Thayer & Powell and Sogard & Matheson contain quantitative seagrass information for all stations.  Ehrhardt’s presentation (see later notes) suggested that integrating sea level data into the model might be useful for explaining temporal variation in densities of some species.

 

Community Study

Community analyses of FMRI forage fish and mollusc data sets using cluster analysis and non-metric multidimensional scaling showed that distinct animal communities resided in the Bay and were affected by salinity.  Larger molluscs were structured by minimum salinities that occurred during the previous twelve months while smaller molluscs responded to maximum salinities.  Summer fish and macroinvertebrate communities were structured by habitat factors such as depth and summer temperatures.  Differing salinities did not change clusters at the outer edges of Florida Bay. 

 

2.  Allyn Powell- forage fish and ichthyoplankton

A summary of  80's and 90's research was presented.  Bay anchovies were found to be up in 1994-1995, up in some areas in 1996, and down again in 1997.  Spotted seatrout distribution expanded in the 90's from the 80's, especially in central regions.  1994 and 1995 were wet years even though in some areas salinities were higher.

 

A bioenergetic model is being developed for spotted seatrout.  They are currently working on growth using otoliths.  The growth information will be integrated into the bioenergetic model.  Studies are being conducted on the effects of salinity and temperature on growth using otoliths.  About 347 fish are being sampled.  No statistical differences have been found in growth between regions.  They have a Ph.D. student who will be doing the bioenergetic model. 

Gray snapper work is also being done.  Based on growth, there seem to be 2 cohorts- one in late spring/summer and a different one in the late fall.  Growth rates seem to vary.  It is uncertain if peaks are due to distinct spawning peaks or differential survival.  What goes on outside the Bay may be more important than what goes on inside the Bay.

 

Mercury

Gamefish (adult legal size) have been found to have elevated levels of methyl mercury, especially those in the central Bay, closer to land.  This indicates that the food web is contaminated and suggests a water column source.  Isotope analyses suggest that biomagnification and not a phytoplankton source.

 

3.  Maria Criales- ichthyoplankton and oceanographic dynamics

 

Studies have been focusing on the links involving larvae transport.  The Loop Current is a significant variable for larvae transport, especially for those organisms with a long larvae development such as spiny  lobster.  Studies were conducted from June 1997 to July 1999 in Long Key Pass and Whale Harbor Channel.  El Nino and La Nina events have been hypothesized to affect spiny lobster (9 months development time), pink shrimp (20 days - development time), and snapper (30 days development time).  New moon is also an important variable, especially for pink shrimp larvae.  Lobster recruitment was the same for El Nino (1997) and La Nina (1998) years at Long Key but higher at Whale Harbor during El Nino.  Inshore intrusion of the loop current in April 1997 brought in higher numbers of lobster larvae.  The current analyses from the current meter located at Sombrero and Tennessee Reefs (Tom Lee data analyses) showed that the gyres formed on the southwest part of the Florida Keys have a major effects on densities and transport of the lobster larvae.  Pink shrimp larvae were higher during La Nina at both sites.  Shrimp larvae peaks occurred during March and May 1999. 

 

4.  Nelson Ehrhardt (RSMAS)

 

Pink shrimp recruitment from Florida Bay is year-around but can be divided into two peak recruitment periods, early (March-August) and late (September-January).  Decadal  pink shrimp recruitment data (from pink shrimp fishery) indicate that late peaks have declined, and it is hypothesized that this decline is due to deteriorating Florida Bay environmental conditions. There is a strong relationship between recruits (3 month lag) and the fishery

 

Early recruitment is weakly correlated to parent stock abundance but strongly correlated to densities of  juveniles (using Mike Robblee’s throw trap data for Johnson Key).  Pink shrimp recruitment in the first half of the year  seems to be environmentally-driven and correlated to 4-5 month lagged rainfall and windspeed. In contrast, September-January recruitment was poorly correlated with 5 environmental variables tested but correlated with both parent stock and juvenile abundance and with a 4-month lagged sea level (using the sea level index, Naples Mean High - Key West Mean Low).  

 

Declines in late peaks began in the 1980's and around 1990 a major decline began.  Late 1987  recruitment was poorly correlated to juvenile abundance and may have been affected by windspeed changes associated with El Nino events.   During the 60's-70's, recruitment was highly correlated to sea level, while during the 70's-80's there was a flat relationship.  During the 80's-90's, there was a negative relationship.  Fishery recruitment was found to be more strongly related to an index of juvenile abundance (throw trap data from Johnson Key Basin) than to parent stock size.

 

A 10-15 cm change in sea level seems to be enough to affect the ecology of the bay.  The exact mechanism of how it is affecting pink shrimp recruitment from the Bay is uncertain. Sea level seems to be an index of the “slope” between Florida Bay and the Dry Tortugas . 

 

Sea level differences affect the movement of  juveniles between Bay nursery grounds and Totugas spawning grounds.  Complicating factors affecting  juvenile densities seems to be the seagrass die off, the closing of the Buttonwood Canal in the 80's, and the discontinuation of the Florida Bay bait shrimp fishery.

 


5.                  Joan Browder

 

In-depth studies of pink shrimp have been organized around a simulation model of pink shrimp recruitment to the Tortugas grounds.  The model concentrates on growth and survival of young shrimp as a function of temperature and salinity in Florida Bay.  Simulated potential annual recruitment from a summer cohort of shrimp was compared for two regions of the Bay. Simulation results suggested that annual recruitment can vary substantially from year to year on the basis of observed differences in temperature and salinity–particularly salinity.  Model results also suggested that recruitment from the central Bay could be much more variable than that from the western Bay, probably because of the predominance of hypersaline conditions in the central Bay in some years.  On the basis of these results, Browder proposed that the some of the variability in fishing success in the Tortugas may be due to salinity patterns.   Zoula Zein Eldin at the NMFS Galveston Laboratory conducted laboratory experiments on survival under a range of temperatures and salinities to obtain the information used in developing the model.  Zein-Eldin recently conducted a more comprehensive series of experiments. The new data confirm and augment the early work.  In these experiments, the optimum salinity for both growth and survival was 30 ppt.  Temperature influenced sensitivity to salinity.  At the request of the Science Panel, Browder examined the statistical relationship between the catch rates of pink shrimp recruits and salinities in western and central Florida Bay.  Significant relationships were found between monthly recruitment and monthly mean salinity in each area.

 

 

Progress on Performance Measures

There was a discussion as to what performance measures really are. Essentially they are indicators (such as annual recruitment or cpue) that help explain variability, distribution by size, how organisms are being affected by salinity. 

 

HTL researchers need to start focusing on the processes that are being affected, essentially how the system is working.  We need to define what we need from the physical scientists.  For instance, we know that circulation is affecting nutrients but what is it doing to the habitat?  Each needs to define for themselves- what are the performance measures for your project, how can you get there, and how are other things affected, and what are the problems getting there.

 

Science Panel Report

Nancy Thompson asked that everyone review science panel report and respond with comments by mid-March.

 

Progress reports are to be submitted in January, 2000.  Joan Browder suggested that we may want to treat them as a collection of papers.

 

A conceptual model (in response to the science panel report) will be redeveloped to show where each project fits into other work.  Each person was asked to develop their own conceptual model by March 30 and give to Joan so a consensus diagram can be developed .  The conceptual model should be used to direct research and include a list of biological indicators.  It should define what areas are being affected by salinity and what resources are associated with that data.  The seagrass model might be a good model to follow (not the structure but the linking of ideas).  We need to predict how the Bay responds to changes in freshwater inflow.

 

Science Conference Format- presentation/poster

 

The format for April 2001 Florida Bay Science Conference was discussed.  Individual projects will be presented during a poster session and then a synthesis of all projects will be presented for each subgroup.

 

 

 

 Agenda

 

 

List of Participants


February 24, 2000

 

Introduction

 

Higher tropic level project cooperators met to discuss details of ongoing synthesis project and to discuss conceptual model development.

 

Synthesis Project

 

Darlene Johnson presented model results and details regarding data components were discussed and evaluated. FMRI data should use the latitude and longitudes from reports.  Gears should be standardized by area swept.  This has already been calculated by FMRI and will be provided.

 

We may want to use mixed seagrass as a variable.  Bottom types for fixed stations can be calculated from percent cover variable and categorical variable for vegetation type (primary and secondary ).  Detailed physical descriptions of each fixed station are in annual reports which will be sent.  Beaufort data has quantitative seagrass information taken with each sample. 

 

For our vegetation map, we can use Durako original data for basins.  Jim Fourqurean’s data is from aerial surveys conducted in 1972?, but he did do some ground truthing.  We can use that information that has been verified.  Frank Sargent (FMRI) also collected data which now is being handled by Penny Hall.  Carlos may have Fourqurean’s data.

 

The sampling design for Beaufort data changed in March 1999.  Prior to 1999, a random fixed sampling design was used and after they began a stratified sampling.

 

We should come up with a habitat map, one for 84-85 and one for the 90's. 

 

Thayer suggests that we may want to delete the1994 ichthyoplankton data as there are taxonomic problems with the data- such as fish are identified to family rather than to species.  The usefulness of the data is limited to fishes that spawn in the Bay.  The sampling was specifically geared towards spawning of spotted seatrout.  The biggest value is in seeing general changes in species composition.  For instance, the peak in anchovies serves as a drive signal. 

 

For mojarras less than 40 mm, Beaufort data identifies them as Eucinostomus sp.  There are 2 main species which inhabit different habitats- gula and argenteus.  Most of the fishes called harengulus probably are argenteus.  For first cut, may want to use grouping Eucinostomus sp.

 

Another variable we may want to use in the analyses is distance from a key (as distinct from distance from the mainland).  We may be able to get this off a GIS map.  There seems to be an ecotone effect in the area where the basin and the shore meet.

 

Use density instead of abundance.

Beaufort gears changed in 1996 from a 1 boat trawl to a 2 boat trawl.  There is a bottom swept difference.  After 1996 the area swept is already calculated.  Before 1996, the density/hectare must be calculated from the data.

 

Don’t use turbidity in the FMRI data, use Secchi disc instead.

 

Conceptual Model

 

Each person needs to develop a conceptual model on how he thinks the Bay works and how organisms respond to freshwater flow. We might use Zieman’s diagram and build upon it.  For instance, bay spawners eggs may be affected by salinity changes but outside spawners probably won’t be.  Commercial fishing was terminated in 1985 which may have an effect. 

 

P33 is used in models to predict salinity but relationship is poor because water is being pulled out by Miami metropolitan area and local rainfall is not being considered.  Because of this poor predictability, the mangrove model for forage fish is not being linked to water management model and they are developing their own scenarios.  They will be presenting model at USGS May meeting.

 

We need to develop a more hypothesis driven model showing links to processes such as growth, feeding, recruitment, salinity, temperature, the role of animals in structuring seagrass systems. A literature review needs to be done on grazers.  Amphipod information is vital to model development but at this time is cost prohibitive.