Contributors | Affiliation | Role |
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Yeager, Lauren | University of Texas - Marine Science Institute (UTMSI) | Principal Investigator, Contact |
Dunton, Kenneth | University of Texas - Marine Science Institute (UTMSI) | Co-Principal Investigator |
Soenen, Karen | Woods Hole Oceanographic Institution (WHOI BCO-DMO) | BCO-DMO Data Manager |
Measured blade morphometrics (width and length) to nearest millimeter of up to six blades for five random shoots sampled in the Corpus Christi Bay and Mission-Aransas Bays, Texas, USA between November 2017 and February 2018.
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.
Prior to processing the samples for above- and below-ground biomass, we measured blade morphometrics (width and length) to nearest millimeter of up to six blades for five random shoots. 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. All shoots were counted and scaled to the core area in order to obtain accurate estimates of shoot density. The below-ground and above-ground tissues were then placed in separate aluminum envelopes for drying. Sample labels included information on site, species, date collected, shoots or R/R, and number of shoots. Any dead plant material was discarded prior to drying. The live tissue (shoots, roots, and rhizomes) were dried to a constant weight in a 60°C oven and weighed to the nearest milligram. The drying process usually took 3-5 days. Lastly, the dry weight biomass for above- and below-ground tissues was used to calculate a root:shoot ratio.
BCO-DMO processing notes:
File |
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shoots.csv (Comma Separated Values (.csv), 223.97 KB) MD5:d6a4ddc756b1501ae27db9aa811a8948 Primary data file for dataset ID 814258 |
Parameter | Description | Units |
Sample_ID | Sample ID: Site + quadrat # | unitless |
Site | Site; CCB = Corpus christi bay; NERR = Mission-Aransas National Esturarin Research Reserve | unitless |
Replicate | Quadrat #, Q1 or Q2 | unitless |
Sampling_Month | Sampling month | unitless |
Sampling_Year | Sampling year | unitless |
Date_Collected | Collection data | unitless |
Date_Processed | Date sample was processed | unitless |
Processed_By | Person who processed the sample | unitless |
Total_Shoots | Number of shoots within the core | unitless |
Shoot | Shoot replicate from the core (1-5) | unitless |
Blade1_length | Length of blade 1 from the shoot in mm | millimeters (mm) |
Blade1_width | Width of blade 1 from the shoot in mm | millimeters (mm) |
Blade1_Pre_scrape_grazing_scars | Number of grazing scar identified pre-scaping on blade 1 | unitless |
Blade1_Post_scrape_grazing_scars | Number of grazing scar identified post-scaping on blade 1 | unitless |
Blade2_length | Length of blade 2 from the shoot in mm | millimeters (mm) |
Blade2_width | Width of blade 2 from the shoot in mm | millimeters (mm) |
Blade2_Pre_scrape_grazing_scars | Number of grazing scar identified pre-scaping on blade 2 | unitless |
Blade2_Post_scrape_grazing_scars | Number of grazing scar identified post-scaping on blade 2 | unitless |
Blade3_length | Length of blade 3 from the shoot in mm | millimeters (mm) |
Blade3_width | Width of blade 3 from the shoot in mm | millimeters (mm) |
Blade3_Pre_scrape_grazing_scars | Number of grazing scar identified pre-scaping on blade 3 | unitless |
Blade3_Post_scrape_grazing_scars | Number of grazing scar identified post-scaping on blade 3 | unitless |
Blade4_length | Length of blade 4 from the shoot in mm | millimeters (mm) |
Blade4_width | Width of blade 4 from the shoot in mm | millimeters (mm) |
Blade4_Pre_scrape_grazing_scars | Number of grazing scar identified pre-scaping on blade 4 | unitless |
Blade4_Post_scrape_grazing_scars | Number of grazing scar identified post-scaping on blade 4 | unitless |
Blade5_length | Length of blade 5 from the shoot in mm | millimeters (mm) |
Blade5_width | Width of blade 5 from the shoot in mm | millimeters (mm) |
Blade5_Pre_scrape_grazing_scars | Number of grazing scar identified pre-scaping on blade 5 | unitless |
Blade5_Post_scrape_grazing_scars | Number of grazing scar identified post-scaping on blade 5 | unitless |
Blade6_length | Length of blade 6 from the shoot in mm | millimeters (mm) |
Blade_6_width | Width of blade 6 from the shoot in mm | millimeters (mm) |
Blade6_Pre_scrape_grazing_scars | Number of grazing scar identified pre-scaping on blade 6 | unitless |
Blade6_Post_scrape_grazing_scars | Number of grazing scar identified post-scaping on blade 6 | unitless |
Blade7_length | Length of blade 7 from the shoot in mm | millimeters (mm) |
Blade7_width | Width of blade 7 from the shoot in mm | millimeters (mm) |
Blade7_Pre_scrape_grazing_scars | Number of grazing scar identified pre-scaping on blade 7 | unitless |
Blade7_Post_scrape_grazing_scars | Number of grazing scar identified post-scaping on blade 7 | unitless |
Blade8_length | Length of blade 8 from the shoot in mm | millimeters (mm) |
Blade8_width | Width of blade 8 from the shoot in mm | millimeters (mm) |
Blade8_Pre_scrape_grazing_scars | Number of grazing scar identified pre-scaping on blade 8 | unitless |
Blade8_Post_scrape_grazing_scars | Number of grazing scar identified post-scaping on blade 8 | unitless |
Blade9_length | Length of blade 9 from the shoot in mm | millimeters (mm) |
Blade9_width | Width of blade 9 from the shoot in mm | millimeters (mm) |
Blade9_Pre_scrape_grazing_scars | Number of grazing scar identified pre-scaping on blade 9 | unitless |
Blade9_Post_scrape_grazing_scars | Number of grazing scar identified post-scaping on blade 9 | unitless |
Blade_10_length | Length of blade 10 from the shoot in mm | millimeters (mm) |
Blade_10_width | Width of blade 10 from the shoot in mm | millimeters (mm) |
Blade10_Pre_scrape_grazing_scars | Number of grazing scar identified pre-scaping on blade 10 | unitless |
Blade10_Post_scrape_grazing_scars | Number of grazing scar identified post-scaping on blade 10 | unitless |
Blade11_length | Length of blade 11 from the shoot in mm | millimeters (mm) |
Blade11_width | Width of blade 11 from the shoot in mm | millimeters (mm) |
Blade11_Pre_scrape_grazing_scars | Number of grazing scar identified pre-scaping on blade 11 | unitless |
Blade11_Post_scrape_grazing_scars | Number of grazing scar identified post-scaping on blade 11 | unitless |
QC | Person who quality checked the datasheet | unitless |
Notes | Notes | unitless |
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.
Funding Source | Award |
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NSF Division of Ocean Sciences (NSF OCE) |