Contributors | Affiliation | Role |
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Sorte, Cascade | University of California-Irvine (UC Irvine) | Principal Investigator |
Bracken, Matthew | University of California-Irvine (UC Irvine) | Co-Principal Investigator, Contact |
Kroeker, Kristy J. | University of California-Santa Cruz (UCSC) | Co-Principal Investigator |
Miller, Luke P. | San Diego State University (SDSU) | Co-Principal Investigator |
Heyl, Taylor | Woods Hole Oceanographic Institution (WHOI BCO-DMO) | BCO-DMO Data Manager |
Rauch, Shannon | Woods Hole Oceanographic Institution (WHOI BCO-DMO) | BCO-DMO Data Manager |
This dataset includes only the sessile organism abundance data from the study. See "Related Datasets" section for mobile species percent cover data.
Surveys were conducted at John Brown’s Beach (57.05 N, 135.37 W), near Sitka, Alaska, USA. Specific site information is included in the file "Tide_Pool_Characteristics.csv" under Supplemental Files.
Sampling and analytical procedures:
We selected 36 tide pools to study and surveyed each using a flexible quadrat with 10cm x 10cm mesh openings. At the beginning of the survey, the perimeter of each tide pool was delineated using a piece of cord, then the pool was drained using a bilge pump and a bucket. The surveyors then laid down the mesh quadrat and used it to measure the total bottom surface area of the tide pool. The surveyor then identified all non-mobile species (sessile invertebrates and algae) present, measured the surface area occupied by each, and, when finished, refilled the tide pool with the previously removed water. This dataset includes only the sessile organism abundance data from the study. See "Related Datasets" section for mobile species data percent cover data.
Known Issues:
There are multiple small gaps in the data. Dead mussels and dead barnacles were not assessed in the first set of surveys. The time of the pools being drained and refilled was not recorded during the surveys between January and May 2019. There were also a pair of tide pools (22 and 23) that were connected, preventing accurate volume measurements from being taken.
WoRMS Taxa Match:
BCO-DMO checked the provided taxonomic names using the World Register of Marine Species Taxa Match tool (WoRMS). All names matched a known name exactly, though two matched an unaccepted synonym. The following are details on the results of the Taxa Match:
Data Processing:
Data were collected on data sheets and entered into an Excel spreadsheet, where the data were later double-checked against the original data sheets to ensure transfer accuracy.
BCO-DMO Processing
- Converted dates to YYYY-MM-DD format
- Adjusted field/parameter names to comply with BCO-DMO naming conventions
- Added a conventional header with dataset name, PI names, version date
- Missing data identifier 'empty' replaced with 'nd' (BCO-DMO's default missing data identifier)
- Taxonomic names were checked using the World Register of Marine Species Taxa Match tool (WoRMS). All names matched a known name exactly. Though two matched an unaccepted synonym:
(1) Orgininally labeled Pterosiphonia bipinnata in the dataset, it was changed to the accepted name: Savoiea bipinnata.
(2) Originally labeled Petrocelis matched with Mastocarpus and the submitter requested that Petrocelis remain as a life stage of Mastocarpus.
File |
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surveys_cover.csv (Comma Separated Values (.csv), 925.62 KB) MD5:065be309d9d49e2e7a6e50837adce92c Primary data file for dataset ID 872885 |
File |
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Tide_Pool_Characteristics.csv (Comma Separated Values (.csv), 1.72 KB) MD5:85c06b50953fa6716049840ca77f7c85 Characteristics of tide pools studied in the Light-Dark Tide Pool Productivity study.
Column names, Units, Descriptions:
Pool_ID, unitless, The number assigned to each tide pool.
Latitude, Degrees North, The latitude of each tide pool.
Longitude, Degrees East, The longitude of each tide pool.
Maximum_depth, centimeters (cm), Water depth at the deepest point in each tide pool, measured with a ruler.
Perimeter, centimeters (cm), Perimeter of each tide pool, measured at water level with a transect tape.
Volume, liters (L), Water volume in each tide pool, measured by pumping all water in a tide pool into a graduated bucket.
Interior_surface_area, square meters (m2), Interior surface area of each tide pool, measured along the bottom of each tide pool with a flexible mesh quadrat.
Tide_height, meters (m), The height of each tide pool above Mean Lower Low Water, measured with a measuring rod and surveying scope.
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Parameter | Description | Units |
Date | The date of the survey in format: YYYY-MM-DD | unitless |
Pool_ID | The numerical ID of the tide pool surveyed | unitless |
Time_drained | The time at which water was pumped from the tide pool in local (Alaska Standard or Alaska Daylight) time in format: hh:mm | unitless |
Time_water_returned | The time at which the tide pool was refilled in local (Alaska Standard or Alaska Daylight) time in format: hh:mm | unitless |
Pool_surface_area | The total basal surface area of the tide pool | meters squared (m2) |
Bare_space | Percentage of total tide pool area occupied by bare rock with no biological cover, relative to surface area | percent (%) cover |
Organism | The species observed during the survey | unitless |
Abundance | Percentage of total tide pool surface area occupied by the named species. Dead barnacles and dead mussels were not assessed in June 2018, January-May 2019, or June-September 2020. | percent (%) cover |
NSF Award Abstract:
This project addresses fundamental gaps in our knowledge of how changing environmental conditions will impact the earth's species and ecosystems. One of the main challenges is predicting impacts of multiple environmental stressors changing at the same time within highly dynamic ecosystems. Climate simulations in coastal marine habitats will, therefore, yield critical information about likely future changes in biodiversity and ecosystem health. This project is a partnership between institutions with a strong focus on serving underrepresented communities of students, and the investigators are committed to participating in K-12 and undergraduate mentorship programs through their respective institutions. Furthermore, the research will be based in Sitka, Alaska, where investigators will collaborate with the Sitka Sound Science Center to incorporate research into the Scientist in the Schools program and a summer day camp for elementary age children.
This work aims to uncover the trajectory of climate change impacts and interactive responses to multiple climatic stressors on coastal marine species, communities, and ecosystem functioning. To uncover these links, the investigators will (1) quantify seasonal and diel dynamics under ambient conditions in a benthic marine community, (2) conduct factorial manipulations of two climatic stressors - increased carbon dioxide concentrations and temperatures - and measure impacts on physiology, diversity, and productivity, and (3) conduct a second field experiment to evaluate whether productivity responses are due to changes in physiology or biodiversity. Climatic changes have the potential to influence ecosystem functioning by altering physiology, abundance, and community structure (i.e., biodiversity), and this research specifically aims to partition these different pathways, leading to more effective predictions of impacts on benthic marine ecosystems.
This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
Funding Source | Award |
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NSF Division of Ocean Sciences (NSF OCE) | |
NSF Division of Ocean Sciences (NSF OCE) | |
NSF Division of Ocean Sciences (NSF OCE) | |
NSF Division of Ocean Sciences (NSF OCE) |