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_ID

Unique sample indentifier

unitless
Site

Site name

unitless
resource_name

Description infauna or "edge_interior'

unitless
Site_Latitude

Latitude of site, south is negative

decimal degrees
Site_Longitude

Longitude of site, west is negative

decimal degrees
Replicate

Replicate number (Q1 or Q2)

unitless
Date_Collected

Date sample was collected

unitless
Core_location

Where core was located relative to seagrass habitat (edge or interior)

unitless
Core_size

Size of core used for sampling

unitless
Date_Processed

Date sample was processed

unitless
Processed_By

Name of person who processed the sample

unitless
Subsample

Was subsampling used for processing C. astratum? (Y = Yes, N = No)

unitless
Random_sample_section_number

Cell # of randomly selected subsample

unitless
Ratio

Ratio of subsample to entire sample volume (e.g. 0.1 = 1/10 of sample

unitless
C_atratum_in_subsample

Number of C. atratum in subsample

unitless
Extrapolated_C_atratum

Number of C. atratum extrapolated to be in entire sample

unitless
Amphipoda

Amphipoda: Number of individuals in sample

unitless
Acteocina_spp

Acteocina spp.: Number of individuals in sample

unitless
Alpheus_spp

Alpheus spp.: Number of individuals in sample

unitless
Amygdalum_papyrium

Amygdalum papyrium: Number of individuals in sample

unitless
Angulus_tampaensis

Angulus tampaensis: Number of individuals in sample

unitless
Argopecten_irradians_amplicostatus

Argopecten irradians amplicostatus: Number of individuals in sample

unitless
Astyris_lunata

Astyris lunata: Number of individuals in sample

unitless
Astyris_multilineata

Astyris multilineata: Number of individuals in sample

unitless
Bittolium_varium

Bittolium varium: Number of individuals in sample

unitless
Brachiodontes_exustus

Brachiodontes exustus: Number of individuals in sample

unitless
Bulla_striata

Bulla striata: Number of individuals in sample

unitless
Calcinus_tibicen

Calcinus tibicen: Number of individuals in sample

unitless
Calinectes_sapidus

Calinectes sapidus: Number of individuals in sample

unitless
Calinectes_similis

Calinectes similis: Number of individuals in sample

unitless
Caryocorbula_contracta

Caryocorbula contracta: Number of individuals in sample

unitless
Cerithium_atratum_lutosum

Cerithium atratum/lutosum : Number of individuals in sample

unitless
Cerithium_translirata

Cerithium translirata: Number of individuals in sample

unitless
Cirripedia

Cirripedia: Number of individuals in sample

unitless
Chione_elevata

Chione elevata: Number of individuals in sample

unitless
Clibanarius_vitattus

Clibanarius vitattus: Number of individuals in sample

unitless
Costoanachis_avara

Costoanachis avara: Number of individuals in sample

unitless
Costoanachis_translirata

Costoanachis translirata: Number of individuals in sample

unitless
Crassostrea_virginica

Crassostrea virginica: Number of individuals in sample

unitless
Crepidula_convexa

Crepidula convexa: Number of individuals in sample

unitless
Crepidula_fornicata

Crepidula fornicata: Number of individuals in sample

unitless
Panopeidae

Panopeidae: Number of individuals in sample

unitless
Gobionellus_boleosoma

Gobionellus boleosoma: Number of individuals in sample

unitless
Haminoea_antillarum

Haminoea antillarum: Number of individuals in sample

unitless
Haminoea_cf_elegans

Haminoea cf. elegans: Number of individuals in sample

unitless
Hippolyte_spp

Hippolyte spp.: Number of individuals in sample

unitless
Holothuroidea

Holothuroidea: Number of individuals in sample

unitless
Ischnochiton_papillosus

Ischnochiton papillosus: Number of individuals in sample

unitless
Isopoda

Isopoda: Number of individuals in sample

unitless
Laevicardium_mortoni

Laevicardium mortoni: Number of individuals in sample

unitless
Laevicardium_pictum

Laevicardium pictum: Number of individuals in sample

unitless
Laevicardium_serratum

Laevicardium serratum: Number of individuals in sample

unitless
Lucapina_aegis

Lucapina aegis: Number of individuals in sample

unitless
Lyonsia_hyalina

Lyonsia hyalina: Number of individuals in sample

unitless
Macoma_mitchelli

Macoma mitchelli: Number of individuals in sample

unitless
Macoma_psuedomera

Macoma psuedomera: Number of individuals in sample

unitless
Macoma_tenta

Macoma tenta: Number of individuals in sample

unitless
Mulinia_lateralis

Mulinia lateralis: Number of individuals in sample

unitless
Myrophis_punctatus

Myrophis punctatus: Number of individuals in sample

unitless
Nassarius_vibex

Nassarius vibex: Number of individuals in sample

unitless
Neritina_virginea

Neritina virginea: Number of individuals in sample

unitless
Pagurus_annulipes

Pagurus annulipes: Number of individuals in sample

unitless
Parvilucina_crenella

Parvilucina crenella: Number of individuals in sample

unitless
Penaus_spp

Penaus spp.: Number of individuals in sample

unitless
Phacoides_pectinata

Phacoides pectinata: Number of individuals in sample

unitless
Pinnixa_chaetopterana

Pinnixa chaetopterana: Number of individuals in sample

unitless
Pitar_cf_munda

Pitar cf. munda: Number of individuals in sample

unitless
Polychaeta_head_or_whole

Polychaeta head or whole: Number of individuals in sample

unitless
Polyplacophora

Polyplacophora: Number of individuals in sample

unitless
Porifera

Porifera: Number of individuals in sample

unitless
Pyrogocythara_plicosa

Pyrogocythara plicosa: Number of individuals in sample

unitless
Solen_viriduis

Solen viriduis: Number of individuals in sample

unitless
Stenoplax_bahamensis

Stenoplax bahamensis: Number of individuals in sample

unitless
Tagelus_divisus

Tagelus divisus: Number of individuals in sample

unitless
Unknown

Number of individuals of unknown taxa in sample

unitless
Total

Total number of organims in sample

unitless
Notes

Notes

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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