Infauna description of biomass cores sampled in the Corpus Christi Bay and Mission-Aransas Bays, Texas, USA between November 2017 and November 2018.

Website: https://www.bco-dmo.org/dataset/816622
Data Type: Other Field Results
Version: 1
Version Date: 2020-06-29

Project
» RAPID: Degradation and Resilience of Seagrass Ecosystem Structure and Function following a Direct Impact by Hurricane Harvey (Harvey Seagrass)
ContributorsAffiliationRole
Yeager, LaurenUniversity of Texas - Marine Science Institute (UTMSI)Principal Investigator, Contact
Dunton, KennethUniversity of Texas - Marine Science Institute (UTMSI)Co-Principal Investigator
Soenen, KarenWoods Hole Oceanographic Institution (WHOI BCO-DMO)BCO-DMO Data Manager

Abstract
Infauna description of biomass cores sampled in the Corpus Christi Bay and Mission-Aransas Bays, Texas, USA between November 2017 and November 2018.


Coverage

Spatial Extent: N:27.94371 E:-97.08205 S:27.75471 W:-97.15306
Temporal Extent: 2017 - 2018

Dataset Description

Infauna description of biomass cores sampled in the Corpus Christi Bay and Mission-Aransas Bays, Texas, USA between November 2017 and November 2018.


Methods & Sampling

Field procedures:

At each station, two replicate cores were used for estimates of above- and below-ground biomass following percent cover observations. A 15 cm inner diameter (ID) core was used to sample the seagrass species present (Thalassia, Halodule, Syringodium, Ruppia or Halophila) present within each quadrat. A PVC (polyvinyl chloride) core was used for the collection of below-ground and above-ground material. Care was taken to keep only the shoots that reside within the diameter of the core. Following placement of the 15 cm core on the seabed, the rubber stopper was removed from the top of the core. Before pressing the core into the sediment, the diver ran their fingers carefully around the bottom of the core. If grass was pulled under the core, it is removed. The diver pressed and twisted the core down into the sediment (10-15 cm depth). The stopper was re-installed in the 15 cm core, and the core was rocked back and forth. The diver worked their hand under the core and removed it from the grass bed, making sure to keep their hand under the bottom of the core in order to prevent loss of sample. Samples were then placed in pre-labeled Ziploc bags and immediately placed on ice.

Laboratory Procedures:

Cores samples were kept in a refrigerator (4°C) until processing within one week of collection.  Cores samples were sieved with filtered seawater through a 500 µm sieve to remove excess sediment. Seagrass tissue was carefully separated from infauna and shell harsh before further processing.

Aboveground tissue, including leaves, sheath material and floral parts, were separated from all below-ground tissues. Leaves were carefully cleaned of all attached biota by scraping with a wet cloth or razor blade prior to analysis.

Infauna were picked from shell hash and remaining material.  In cores with large amounts of shell hash and/or small molluscs cores were subsampled down to 1/10 of the original sample (noted in data spreadsheet). Infauna were identified to the lowest possible taxonomic level and enumerated.


Data Processing Description

BCO-DMO processing notes:

  • Concatenate data sources: infauna and edge_interior
  • Reworked the columns Date_Processed and Date_Collected to have dates in standard ISO format (yyy-mm-dd)
  • Adjusted headers to comply with database requirements

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Data Files

File
infauna_concat.csv
(Comma Separated Values (.csv), 41.72 KB)
MD5:142145181fa9a7c8d4e6b870937a4375
Primary data file for dataset ID 816622

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Related Publications

Congdon, V. M., Bonsell, C., Cuddy, M. R., & Dunton, K. H. (2019). In the wake of a major hurricane: Differential effects on early vs. late successional seagrass species. Limnology and Oceanography Letters, 4(5), 155–163. doi:10.1002/lol2.10112
Methods
Duffy, J. E., Ziegler, S. L., Campbell, J. E., Bippus, P. M., & Lefcheck, J. S. (2015). Squidpops: A Simple Tool to Crowdsource a Global Map of Marine Predation Intensity. PLOS ONE, 10(11), e0142994. doi:10.1371/journal.pone.0142994
Methods

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Parameters

ParameterDescriptionUnits
Sample_IDUnique sample indentifier unitless
SiteSite name unitless
resource_nameDescription infauna or "edge_interior' unitless
Site_LatitudeLatitude of site, south is negative decimal degrees
Site_LongitudeLongitude of site, west is negative decimal degrees
ReplicateReplicate number (Q1 or Q2) unitless
Date_CollectedDate sample was collected unitless
Core_locationWhere core was located relative to seagrass habitat (edge or interior) unitless
Core_sizeSize of core used for sampling unitless
Date_ProcessedDate sample was processed unitless
Processed_ByName of person who processed the sample unitless
SubsampleWas subsampling used for processing C. astratum? (Y = Yes, N = No) unitless
Random_sample_section_numberCell # of randomly selected subsample unitless
RatioRatio of subsample to entire sample volume (e.g. 0.1 = 1/10 of sample unitless
C_atratum_in_subsampleNumber of C. atratum in subsample unitless
Extrapolated_C_atratumNumber of C. atratum extrapolated to be in entire sample unitless
AmphipodaAmphipoda: Number of individuals in sample unitless
Acteocina_sppActeocina spp.: Number of individuals in sample unitless
Alpheus_sppAlpheus spp.: Number of individuals in sample unitless
Amygdalum_papyriumAmygdalum papyrium: Number of individuals in sample unitless
Angulus_tampaensisAngulus tampaensis: Number of individuals in sample unitless
Argopecten_irradians_amplicostatusArgopecten irradians amplicostatus: Number of individuals in sample unitless
Astyris_lunataAstyris lunata: Number of individuals in sample unitless
Astyris_multilineataAstyris multilineata: Number of individuals in sample unitless
Bittolium_variumBittolium varium: Number of individuals in sample unitless
Brachiodontes_exustusBrachiodontes exustus: Number of individuals in sample unitless
Bulla_striataBulla striata: Number of individuals in sample unitless
Calcinus_tibicenCalcinus tibicen: Number of individuals in sample unitless
Calinectes_sapidusCalinectes sapidus: Number of individuals in sample unitless
Calinectes_similisCalinectes similis: Number of individuals in sample unitless
Caryocorbula_contractaCaryocorbula contracta: Number of individuals in sample unitless
Cerithium_atratum_lutosumCerithium atratum/lutosum : Number of individuals in sample unitless
Cerithium_translirataCerithium translirata: Number of individuals in sample unitless
CirripediaCirripedia: Number of individuals in sample unitless
Chione_elevataChione elevata: Number of individuals in sample unitless
Clibanarius_vitattusClibanarius vitattus: Number of individuals in sample unitless
Costoanachis_avaraCostoanachis avara: Number of individuals in sample unitless
Costoanachis_translirataCostoanachis translirata: Number of individuals in sample unitless
Crassostrea_virginicaCrassostrea virginica: Number of individuals in sample unitless
Crepidula_convexaCrepidula convexa: Number of individuals in sample unitless
Crepidula_fornicataCrepidula fornicata: Number of individuals in sample unitless
PanopeidaePanopeidae: Number of individuals in sample unitless
Gobionellus_boleosomaGobionellus boleosoma: Number of individuals in sample unitless
Haminoea_antillarumHaminoea antillarum: Number of individuals in sample unitless
Haminoea_cf_elegansHaminoea cf. elegans: Number of individuals in sample unitless
Hippolyte_sppHippolyte spp.: Number of individuals in sample unitless
HolothuroideaHolothuroidea: Number of individuals in sample unitless
Ischnochiton_papillosusIschnochiton papillosus: Number of individuals in sample unitless
IsopodaIsopoda: Number of individuals in sample unitless
Laevicardium_mortoniLaevicardium mortoni: Number of individuals in sample unitless
Laevicardium_pictumLaevicardium pictum: Number of individuals in sample unitless
Laevicardium_serratumLaevicardium serratum: Number of individuals in sample unitless
Lucapina_aegisLucapina aegis: Number of individuals in sample unitless
Lyonsia_hyalinaLyonsia hyalina: Number of individuals in sample unitless
Macoma_mitchelliMacoma mitchelli: Number of individuals in sample unitless
Macoma_psuedomeraMacoma psuedomera: Number of individuals in sample unitless
Macoma_tentaMacoma tenta: Number of individuals in sample unitless
Mulinia_lateralisMulinia lateralis: Number of individuals in sample unitless
Myrophis_punctatusMyrophis punctatus: Number of individuals in sample unitless
Nassarius_vibexNassarius vibex: Number of individuals in sample unitless
Neritina_virgineaNeritina virginea: Number of individuals in sample unitless
Pagurus_annulipesPagurus annulipes: Number of individuals in sample unitless
Parvilucina_crenellaParvilucina crenella: Number of individuals in sample unitless
Penaus_sppPenaus spp.: Number of individuals in sample unitless
Phacoides_pectinataPhacoides pectinata: Number of individuals in sample unitless
Pinnixa_chaetopteranaPinnixa chaetopterana: Number of individuals in sample unitless
Pitar_cf_mundaPitar cf. munda: Number of individuals in sample unitless
Polychaeta_head_or_wholePolychaeta head or whole: Number of individuals in sample unitless
PolyplacophoraPolyplacophora: Number of individuals in sample unitless
PoriferaPorifera: Number of individuals in sample unitless
Pyrogocythara_plicosaPyrogocythara plicosa: Number of individuals in sample unitless
Solen_viriduisSolen viriduis: Number of individuals in sample unitless
Stenoplax_bahamensisStenoplax bahamensis: Number of individuals in sample unitless
Tagelus_divisusTagelus divisus: Number of individuals in sample unitless
UnknownNumber of individuals of unknown taxa in sample unitless
TotalTotal number of organims in sample unitless
NotesNotes unitless

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Project Information

RAPID: Degradation and Resilience of Seagrass Ecosystem Structure and Function following a Direct Impact by Hurricane Harvey (Harvey Seagrass)

Coverage: Corpus Christi Bay and Mission-Aransas Bays, Texas, USA


NSF Award Abstract:

Disturbance has long been recognized as a major organizing force in marine communities with the potential to shape biodiversity. Hurricanes provide a natural experiment to understand how acute physical disturbances (storm surge and wind energy) may interact with longer-term changes in environmental conditions (salinity or turbidity) to alter the structure and function of ecological communities. As models indicate that hurricane intensity and precipitation will increase with a warming climate, understanding the response and recovery of coastal ecosystems is of critical societal importance. Harvey made landfall as a Category Four hurricane on the Texas coast on August 25, 2017, bringing extreme rainfall as the storm stalled over the middle Texas coast. The heavy rainfall and freshwater run-off created a low salinity lens that continues to persist two months later. Seagrass ecosystems may be particularly vulnerable because they grow on shallow, soft-sediment bottoms (and thus are easily dislodged or buried) and because seagrasses are sensitive to changes in salinity and turbidity. The societal implications of seagrass loss are well recognized: seagrasses provide highly valuable ecosystem services of large economic value for estuarine and nearshore dependent fisheries, serve as nursery habitats, and sequester gigatons of carbon on a global scale. Using measurements of the health and function of the seagrass and of the community for which it is habitat, the PIs are assessing the impact of the hurricane and of the persistent freshwater lens. Context is provided by looking at non-impacted sites and by six prior years of data.

This project addresses the overarching question: How do intense physical disturbances in conjunction with chronic chemophysical perturbations affect loss and recovery of seagrass community structure and function, including local production, trophic linkages, and metazoan community diversity? To understand the impacts of Hurricane Harvey on seagrass ecosystems across the middle Texas coast, the investigators are (1) documenting losses in physical habitat structure, (2) teasing apart independent and interactive effects of multiple stressors associated with storm events on biodiversity and ecosystem function, and (3) identifying factors that promote resilience following disturbance. A state-wide seagrass monitoring program with six years of data from areas within Harvey's path and surrounding seagrass systems will provide invaluable context. The investigators are measuring seagrass structure, employing a Before-After-Control-Impact design at sites that experienced severe physical damage and appropriate reference sites. In situ loggers deployed after the storm track the evolution of the low salinity event together with seagrass physiological stress measurements (e.g. chlorophyll fluorescence, pigment loss, reduced growth). Changes in seagrass habitat function is assessed through measurements of faunal biodiversity within impacted and reference sites sampled via cores, benthic push nets, and seine nets. Tethering assays of seagrass blades and common invertebrate prey enables comparison trophic interactions across sites that vary in disturbance impact. These data are used to create models of ecosystem response to an extreme disturbance event and identify factors that best predict recovery of the physical structure of the habitat and of associated ecosystem functions.



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Funding

Funding SourceAward
NSF Division of Ocean Sciences (NSF OCE)

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