Contributors | Affiliation | Role |
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Sponaugle, Su | University of Miami Rosenstiel School of Marine and Atmospheric Science (UM-RSMAS) | Principal Investigator |
Rankin, Tauna | National Marine Fisheries Service (NMFS) | Contact |
Rauch, Shannon | Woods Hole Oceanographic Institution (WHOI BCO-DMO) | BCO-DMO Data Manager |
Otolith increment data from analyses of otoliths from Stegastes partituscollected from the Florida Keys.
Collections were made over many small boat SCUBA dives from 2003-2008; cruises and dives were not numbered.
The otoliths were extracted using standard dissecting techniques and placed in a drop of medium viscosity immersion oil on a microscope slide to clear for a minimum of 30 d. Based on ease of reading, only the lapilli were examined. The clearest lapillus was chosen from each individual and viewed under 400 magnification through a Leica DMLB microscope equipped with a polarized filter between the first stage and light source. The image was captured by a Dage MTI video camera and analyzed using Image Pro Plus 4.5 software (Media Cybernetics). Each otolith was read once blind (i.e., without sample information available) and saved as a digital file. Every 5th individual was measured a second time. The images of the remaining 1029 fish were examined to determine if there was any ambiguity in the placement of the increments and an additional 161 fish were aged a second time, resulting in a total of 418 fish aged twice. Otoliths were rejected where the difference between the first and second reads was > 5%, resulting in six exclusions. Otolith analysis was utilized to determine the following ELHTs: post-settlement age (number of concentric increments after the settlement mark), pelagic larval duration (PLD; number of concentric increments from the primordium to the settlement mark), larval and juvenile growth rates (widths between consecutive increments), and size-at-age (otolith radius-at-each age, including settlement).
Raw data were obtained directly from image processing software. This dataset includes the raw data that have not been manipulated. Please refer to the publications below for details on how these raw data were used.
See two publications using these data:
Rankin TL, & Sponaugle S. 2011. Temperature influences selective mortality during the early life stages of a coral reef fish. PLOS ONE 6: e16814. DOI: 10.1371/journal.pone.0016814
Rankin, T. L., & Sponaugle, S. (2014). Characteristics of Settling Coral Reef Fish Are Related to Recruitment Timing and Success. PLoS ONE, 9(9), e108871. doi:10.1371/journal.pone.0108871
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otolith_increment.csv (Comma Separated Values (.csv), 3.58 MB) MD5:93b51448fe603fa0fbdf15b01d2e3b8f Primary data file for dataset ID 526800 |
Parameter | Description | Units |
stage | Life stage of fish upon collection. Larva = late stage larva caught in light trap; Juvenile = < 1 month old juvenile collected during visual survey. | text |
date_collected | Year-month-day of collection written as YYYYMMDD. | YYYYmmdd |
collection | For larvae this refers to light trap number fish was collected in. For juveniles this refers to habitat of survey and collection: 1 = reef habitat; 2 = rubble habitat. | dimensionless |
site_name | Name of the site. | text |
site_code | Code that refers to the site of the survey and collection located off of the upper Florida Keys. FR = French Reef; MO = Molasses Reef; PI = Pickles Reef; SI = Sand Island Reef; TR = Triangles; WB = White Banks. | text |
site_lat | Latitude of the site in degrees north. | decimal degrees |
site_lon | Longitude of the site in degrees west. | decimal degrees |
sample | The sample number of the individual fish in the collection. | dimensionless |
increment_num | Daily otolith increment number. | dimensionless |
increment_type | Early life history phase of the otolith increment number, where L = larval, S = settlement, and J= juvenile. | dimensionless |
otolith_radius | Otolith radius in um at a given increment number. | micrometers (um) |
increment_width | Otolith increment width in um. | micrometers (um) |
Dataset-specific Instrument Name | Leica DMLB microscope |
Generic Instrument Name | Fluorescence Microscope |
Dataset-specific Description | The clearest lapillus was chosen from each individual and viewed under 400 magnification through a Leica DMLB microscope equipped with a polarized filter between the first stage and light source. The image was captured by a Dage MTI video camera and analyzed using Image Pro Plus 4.5 software (Media Cybernetics). |
Generic Instrument Description | Instruments that generate enlarged images of samples using the phenomena of fluorescence and phosphorescence instead of, or in addition to, reflection and absorption of visible light. Includes conventional and inverted instruments. |
Website | |
Platform | FK_boat_dock |
Start Date | 2001-06-13 |
End Date | 2008-08-12 |
Description | Collections of fish from reefs were made over many small boat SCUBA dives from 2003-2008; cruises and dives were not numbered. |
Description from NSF award abstract:
Events occurring during the pelagic larval stage of benthic marine organisms can play an important role in the regulation of open populations. The transition between the pelagic larval stage and the benthic juvenile stage (settlement and metamorphosis) is generally recognized as a critical period in the life of many benthic marine fishes such as coral reef fishes, yet the linkage between these phases had received relatively little attention. Biological traits exhibited during the larval stage can influence not only larval survival, but also the recruitment and survival of subsequent juvenile stages. Patterns of natural variability in early life history (ELH) traits, early juvenile mortality, and trait--related survival are entirely unknown. We currently have no knowledge of which larvae survive to settle successfully, and which of those then survive the early life on the reef, including the energetically expensive process of metamorphosis. While ecological theory concerning the ELH traits that confer higher survival has been developed for larval fishes in temperate systems, rarely has this theory been extended across the transition to juveniles, and very few data are available on the relationship between ELH traits and survival for tropical species such as coral reef fishes.
This field study is designed to investigate patterns of natural variability in the ELH traits of a common Caribbean coral reef fish and the consequences of this variation to the survival of young larvae and juveniles during the transition from the plankton to the reef. Multiple cohorts of newly recruited Thalassoma bifasciatum will be censused and collected from sites in the Florida Keys over several seasons (6 mos.) and hydrographic conditions to identify the relationship between environmental conditions, ELH traits, and recruitment success. Recruits will be collected from replicate sites with high and low densities of resident fishes to examine how variable growth and mortality further influence the distribution of ELH traits of recruits. Examination of the otolith record of late-stage larvae and young juveniles will enable the identification of within--cohort, among-cohort, and among-site differences in ELH traits such as larval growth rates, size-at-age, size and age at settlement, and juvenile growth rates. In addition, cohort-specific condition indices will be measured for late-stage larvae and emerging juveniles (<1 d on the reef). Longitudinal and cross-sectional analyses of otolith records will reveal whether faster-growing, larger or older larvae, or larvae of higher condition preferentially survive, and whether large recruitment events are composed of larvae or recruits with particular ELH traits. An intensive series of juvenile censuses will provide daily age-specific mortality rates, which together with the otolith-derived ELH trait analyses will define the relationship between growth, survival, and selective loss of ELH traits. As such, this field study will be the first broad in situ investigation of the relationship between ELH traits and the survival of larvae and young juvenile reef fishes. Results of this study will contribute to our understanding of the dynamics of this important transitional phase in the life history of coral reef fishes and the factors contributing to recruitment variability in these open populations.
Description from NSF award abstract:
This project deals with the important and timely theme of marine population connectivity. The degree to which populations of benthic marine organisms are connected via the dispersal of larval propagules is a central unanswered ecological and oceanographic question. The complex oceanography of marine systems, and high mortality and diffuse concentrations of larvae make direct measurement of larval sources generally unfeasible, particularly for marine populations distributed along open coastlines. In addition, ecological population connectivity is not only a function of the physical transport of larvae, but also the interaction of factors influencing larval growth, survival, and condition at settlement. For example, oligotrophic open-ocean environments may lead to slower larval growth, longer pelagic larval durations, and lower survivorship of larvae compared to larvae from nutrient-rich nearshore waters. Data indicate that the relative condition of larvae influences their survival on the reef and the degree to which they contribute to the population. Ultimately, as ocean currents, spawning patterns, larval survivorship, settlement, and their interactions are highly variable, the only method for examining ecological population connectivity over multiple time and space scales in oceanographically complex environments will be data-validated three dimensional biophysical models capable of assessing dispersal outcomes over a wide range of temporal and spatial variation.
The overall goal of this study is to quantify the relative contributions of upstream (far-field) versus local (near-field) sources of reef fish larvae to the Florida Keys. The proposed study will integrate a comprehensive, three dimensional hydrodynamic model with a Lagrangian particle tracking model to connect the pathways between observed ichthyoplankton distributions and larval settlement.
Funding Source | Award |
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NSF Division of Ocean Sciences (NSF OCE) | |
NSF Division of Ocean Sciences (NSF OCE) |