Tidepool attributes by date and ecological survey data from seasonal surveys conducted at tidepools along the California coast from 2017 to 2018

Website: https://www.bco-dmo.org/dataset/861571
Data Type: Other Field Results
Version: 1
Version Date: 2021-12-16

Project
» Collaborative Research: Context-dependency of top-down vs. bottom-up effects of herbivores on marine primary producers (CalCoast Grazer TDBU)
ContributorsAffiliationRole
Bracken, MatthewUniversity of California-Irvine (UC Irvine)Principal Investigator, Contact
Martiny, AdamUniversity of California-Irvine (UC Irvine)Co-Principal Investigator
Miller, Luke P.San Diego State University (SDSU)Co-Principal Investigator
Heyl, TaylorWoods Hole Oceanographic Institution (WHOI BCO-DMO)BCO-DMO Data Manager
Rauch, ShannonWoods Hole Oceanographic Institution (WHOI BCO-DMO)BCO-DMO Data Manager

Abstract
This dataset includes information on tidepool attributes by date as well as ecological survey data for each seasonal survey. Data include cover and counts of algae and mobile invertebrates. Sampling took place in 2017 and 2018 at tide pools located in three regions along the California (USA) coast: (1) Bodega Head, Sonoma County (38.31°N, 123.07°W); (2) Kenneth Norris Rancho Marino Reserve and Hazards Canyon Reef, San Luis Obispo County (35.54°N, 121.09°W and 35.29°N, 128.88°W, respectively); and (3) Corona del Mar State Beach, Orange County (33.59°N, 117.87°W). In the fall of 2017, initial surveys and measurements were conducted quantifying physical attributes, including surface area, volume, and height on the shore. Surveys were repeated every three months until immediately prior to the establishment of grazing experiments at each site in the summer of 2018. During the quarterly surveys, consumer abundances, nutrient fluxes, oxygen fluxes, and photosynthetic biomass in each tide pool were quantified.


Coverage

Spatial Extent: N:38.3195 E:-117.866 S:33.5867 W:-123.075
Temporal Extent: 2017-09-21 - 2018-04-26

Dataset Description

Users of these data are requested to contact Matthew Bracken (m.bracken@uci.edu) prior to use.


Methods & Sampling

Methodology:
High-intertidal pools are common in all three regions, allowing us to work at two spatially separated sites in each region. At each site, we identified 18 tide pools, marking each pool and quantifying physical attributes, including surface area, volume, and height on the shore. We also anchored TidbiT temperature datalogger (Onset; Bourne, Massachusetts, USA) in most pools. In the fall of 2017, we identified tide pools and conducted initial surveys and measurements. We repeated surveys every three months until immediately prior to the establishment of grazing experiments at each site in the summer of 2018. These surveys provided insights into the natural temporal variability in community and ecosystem metrics and provided baseline information on relationships between grazer abundances and producer biomass.

Sampling and analytical procedures:
During the quarterly surveys, we quantified consumer abundances, nutrient fluxes, oxygen fluxes, and photosynthetic biomass in each tide pool. Organism abundances were measured by pumping the water from each pool into a bucket, spreading a flexible mesh quadrat over the bottom of the pool, and censusing the algae and invertebrates present in each pool. Nutrient and oxygen fluxes were measured during whole-pool incubations in the dark and in the light.

Seasonal survey data:
Surveys include information on pool attributes by date as well as ecological survey data for each seasonal survey. Abundances of algae and mobile invertebrates were measured by delineating the perimeter of each pool with a transect tape then pumping the water from each pool into a bucket. A flexible mesh quadrat (Bracken and Nielsen 2004) was spread over the bottom of each pool. The mesh was composed of 10 centimeter x 10 centimeter squares, and total square counts (also used to estimate pool percent cover) and squares per species (to the nearest ¼ square) were used to estimate cover of seaweeds and sessile invertebrates. All mobile invertebrates in each pool were counted and identified to the lowest possible taxonomic unit, usually species. Values for other pool attributes (e.g., volume, depth, perimeter) were often measured during seasonal surveys, and those were recorded in the Survey dataset as well as in Pool Characteristics (see related dataset "Tide Pool Characteristics").

This work was conducted at sites located in three regions along the California (USA) coast: (1) Bodega Head, Sonoma County (38.31°N, 123.07°W); (2) Kenneth Norris Rancho Marino Reserve and Hazards Canyon Reef, San Luis Obispo County (35.54°N, 121.09°W and 35.29°N, 128.88°W, respectively); and (3) Corona del Mar State Beach, Orange County (33.59°N, 117.87°W).

Known Problems/Issues:
Some environmentally-related (e.g., tides, darkness) issues caused gaps in the data. These are indicated by "nd".


Data Processing Description

Data Processing:
Data reported here were recorded in the field, transcribed into a database, then collated using R.

BCO-DMO Processing:
- Converted dates to format: yyyy-mm-dd
- Adjusted field/parameter names to comply with BCO-DMO naming conventions
- Replaced commas with semi-colons in the "Weather" column
- Added a conventional header with dataset name, PI names, version date
- Rounded Latitude and Longitude columns to 6 decimal places


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Data Files

File
seasonal_surveys.csv
(Comma Separated Values (.csv), 71.96 KB)
MD5:49586269826ea27cbcba8b96781d3954
Primary data file for dataset ID 861571

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Related Publications

Bracken, M. E. S., & Nielsen, K. J. (2004). DIVERSITY OF INTERTIDAL MACROALGAE INCREASES WITH NITROGEN LOADING BY INVERTEBRATES. Ecology, 85(10), 2828–2836. doi:10.1890/03-0651
Methods

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Related Datasets

IsRelatedTo
Bracken, M., Martiny, A., Miller, L. P. (2021) Characteristics of tidepools from seasonal surveys conducted at tidepools along the California coast from 2017 to 2018. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2021-12-16 doi:10.26008/1912/bco-dmo.862207.1 [view at BCO-DMO]
Bracken, M., Martiny, A., Miller, L. P. (2021) Seasonal data on productivity, characteristics, and community composition of tidepools on the California coast from 2017 to 2018. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2021-12-16 doi:10.26008/1912/bco-dmo.860440.1 [view at BCO-DMO]

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Parameters

ParameterDescriptionUnits
Site

Site of measurements (BMR = Bodega Marine Reserve; RMR = Rancho Marino Reserve / Hazards Canyon Reef; CDM = Corona del Mar)

unitless
Survey_Date

Date of survey in format: YYYY-mm-dd

unitless
Weather

Weather recorded by surveyors

unitless
Pool

Pool number and station (A or B), including adjacent Ocean

unitless
Latitude

Latitude in decimal degrees North

Decimal Degrees
Longitude

Longitude in decimal degrees East (West is negative)

Decimal Degrees
Tide_Height

Height of pool in meters above Mean Lower low Water (MLLW)

meters
Max_Depth

Maximum depth of pool in centimeters

centimeters
Perimeter

Perimeter of pool in meters

meters
Surface_Area_Squares

Overall surface area of pool in count of squares (0.1m^2)

Number of squares
Surface_Area_m2

Surface area of pool in square meters

square meters
Dye_Volume

Volume of pool in L estimated using dye method

Liters
Pump_Volume

Volume of pool in L estimated using pump method

Liters
Tide_Height2

Height of pool in m above MLLW

Meters
Number_Squares

Date-specific surface area of pool in count of squares (0.1square meter)

Number of squares
Cover_Bare_Rock

Cover of bare rock in count of squares (0.1square meter)

Number of squares
Cover_Prionitis

Cover of Prionitis sternbergii in count of squares (0.1square meter)

Number of squares
Cover_Mastocarpus

Cover of Mastocarpus papillatus in count of squares (0.1square meter)

Number of squares
Cover_Polysiphonia

Cover of Polysiphonia spp. in count of squares (0.1square meter)

Number of squares
Cover_Hildenbrandia

Cover of Hildenbrandia spp. in count of squares (0.1square meter)

Number of squares
Cover_Odonthalia

Cover of Odonthalia spp. in count of squares (0.1square meter)

Number of squares
Cover_Mytilus

Cover of Mytilus spp. in count of squares (0.1square meter)

Number of squares
Cover_Calliarthron

Cover of Calliarthron spp. in count of squares (0.1square meter)

Number of squares
Cover_Anthopleura_spp

Cover of Anthopleura spp. in count of squares (0.1square meter)

Number of squares
Cover_Anthopleura_elegantissima

Cover of Anthopleura elegantissima in count of squares (0.1square meter)

Number of squares
Cover_Anthopleura_xanthogrammica

Cover of Anthopleura xanthogrammica in count of squares (0.1square meter)

Number of squares
Cover_Corralina

Cover of Corralina spp. in count of squares (0.1square meter)

Number of squares
Cover_Enteromorpha

Cover of Ulva sp. (Enteromorpha form) in count of squares (0.1square meter)

Number of squares
Cover_Ralfsia

Cover of Ralfsia spp. in count of squares (0.1square meter)

Number of squares
Cover_Mazzaella

Cover of Mazzaella spp. in count of squares (0.1square meter)

Number of squares
Cover_Caulacanthus

Cover of Caulacanthus spp. in count of squares (0.1square meter)

Number of squares
Cover_Corralina_spp

Cover of Corralina spp. in count of squares (0.1square meter)

Number of squares
Cover_Articulated_Coralline

Cover of Articulated coralline in count of squares (0.1square meter)

Number of squares
Cover_Encrusting_Coralline

Cover of Encrusting coralline in count of squares (0.1square meter)

Number of squares
Cover_Barnacles

Cover of Barnacles in count of squares (0.1square meter)

Number of squares
Cover_Endocladia

Cover of Endocladia muricata in count of squares (0.1square meter)

Number of squares
Cover_Ulva

Cover of Ulva spp. in count of squares (0.1square meter)

Number of squares
Cover_Cladophora

Cover of Cladophora columbiana in count of squares (0.1square meter)

Number of squares
Cover_Gelidium

Cover of Gelidium coulteri in count of squares (0.1square meter)

Number of squares
Cover_Petalonia

Cover of Petalonia sp. in count of squares (0.1square meter)

Number of squares
Cover_Scytosiphon

Cover of Scytosiphon sp. in count of squares (0.1square meter)

Number of squares
Cover_Petrocelis

Cover of Petrocelis form of Mastocarpus in count of squares (0.1square meter)

Number of squares
Cover_Anthopleura_sola

Cover of Anthopleura sola in count of squares (0.1square meter)

Number of squares
Cover_Phragmatapoma

Cover of Phragmatopoma sp. in count of squares (0.1square meter)

Number of squares
Cover_Pterocladiella

Cover of Pterocladiella sp. in count of squares (0.1square meter)

Number of squares
Cover_Non_Coralline_Crust

Cover of non-coralline algal cruse in count of squares (0.1square meter)

Number of squares
Cover_Dictyota

Cover of Dictyota sp. in count of squares (0.1square meter)

Number of squares
Cover_Ceramium

Cover of Ceramium sp. in count of squares (0.1square meter)

Number of squares
Cover_Chondracanthus

Cover of Chondracanthus sp. in count of squares (0.1square meter)

Number of squares
Cover_Sargassum

Cover of Sargassum sp. in count of squares (0.1square meter)

Number of squares
Cover_Gastroclonium

Cover of Gastroclonium sp. in count of squares (0.1square meter)

Number of squares
Cover_Leathesia_Colpomenia

Cover_Leathesia of Colpomenia sp. in count of squares (0.1square meter)

Number of squares
Cover_Chaetomorpha

Cover of Chaetomorpha sp. in count of squares (0.1square meter)

Number of squares
Count_Limpets

Count of Limpets in count of of individuals per pool

Number of individuals
Count_Chlorostoma_spp

Count of Tegula (Chlorostoma) spp. in count of of individuals per pool

Number of individuals
Count_Littorina_spp

Count of Littorina spp. in count of of individuals per pool

Number of individuals
Count_Chitons

Count of Chitons in count of of individuals per pool

Number of individuals
Count_Pagurus_spp

Count of Pagurus spp. in count of of individuals per pool

Number of individuals
Count_Anthopleura_sola

Count of Anthopleura sola in count of of individuals per pool

Number of individuals
Count_Shore_crab

Count of shore crabs in count of of individuals per pool

Number of individuals
Count_Mytilus

Count of Mytilus spp. in count of of individuals per pool

Number of individuals
Count_Nucella

Count of Nucella spp. in count of of individuals per pool

Number of individuals
Count_Anthopleura_elegantissima

Count of Anthopleura elegantissima in count of of individuals per pool

Number of individuals
Count_Anthopleura_xanthogrammica

Count of Anthopleura xanthogrammica in count of of individuals per pool

Number of individuals
Count_Sculpin

Count of sculpins in count of of individuals per pool

Number of individuals
Count_Strongylocentrotus_purpuratus

Count of Strongylocentrotus purpuratus in count of of individuals per pool

Number of individuals
Count_Phragmatapoma

Count of Phragmatopoma sp. in count of individuals per pool

Number of individuals
Count_Acanthonucella

Count of Acanthonucella sp. in count of individuals per pool

Number of individuals
Count_Brachidontes

Count of Brachidontes sp. in count of individuals per pool

Number of individuals
Count_Nudibranch

Count of nudibranchs in count of individuals per pool

Number of individuals
Count_Mussels

Count of mussels in count of individuals per pool

Number of individuals


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Instruments

Dataset-specific Instrument Name
Garmin eTrex handheld GPS
Generic Instrument Name
Global Positioning System Receiver
Generic Instrument Description
The Global Positioning System (GPS) is a U.S. space-based radionavigation system that provides reliable positioning, navigation, and timing services to civilian users on a continuous worldwide basis. The U.S. Air Force develops, maintains, and operates the space and control segments of the NAVSTAR GPS transmitter system. Ships use a variety of receivers (e.g. Trimble and Ashtech) to interpret the GPS signal and determine accurate latitude and longitude.

Dataset-specific Instrument Name
Self-leveling rotary laser kit, CST/berger
Generic Instrument Name
Laser
Generic Instrument Description
A device that generates an intense beam of coherent monochromatic light (or other electromagnetic radiation) by stimulated emission of photons from excited atoms or molecules. 

Dataset-specific Instrument Name
TidbiT temperature datalogger (Onset; Bourne, Massachusetts, USA)
Generic Instrument Name
Temperature Logger
Generic Instrument Description
Records temperature data over a period of time.


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Project Information

Collaborative Research: Context-dependency of top-down vs. bottom-up effects of herbivores on marine primary producers (CalCoast Grazer TDBU)

Coverage: Coast of California, USA


Humans are modifying marine food webs both from the top-down, by reducing consumer abundances, and from the bottom-up, by adding nutrients to coastal habitats. Predicting these impacts is complicated because herbivores affect primary producers both from the top-down, by eating them, and from the bottom-up, by recycling nutrients and facilitating the recruitment of algae into local marine ecosystems. This project uses experimental manipulations along a natural gradient in nutrient availability on the California coast to evaluate the complex interactions between top-down and bottom-up processes in marine communities. This project includes experiments and outreach in a location with substantial exposure to the public, and the investigators will work with community and university outreach personnel to communicate this research to broader audiences. Specifically, the project includes mechanisms for curriculum development and outreach and will train undergraduate and graduate students in marine science.

The investigators are implementing a suite of innovative approaches to understand the multiple roles that herbivores play in marine systems. Traditional experimental methods for herbivore removal result in the loss of both the consumptive and facilitative effects of herbivores. In contrast, the investigators' experimental design allows them to partition the different effects of herbivores on marine primary producers. These methods, including observations, experiments, and modeling approaches, allow researchers to (i) calculate the relative importance of herbivores' consumptive and facilitative effects on algal diversity and abundance; (ii) determine the effects of temperature, nutrients, and herbivores on the microbial community; and (iii) evaluate the relative importance of internal processes and spatial subsidies.



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Funding

Funding SourceAward
NSF Division of Ocean Sciences (NSF OCE)
NSF Division of Ocean Sciences (NSF OCE)
NSF Division of Ocean Sciences (NSF OCE)

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