Contributors | Affiliation | Role |
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Denny, Mark W | Stanford University - Hopkins (Stanford-HMS) | Principal Investigator |
Allen, Bengt J | California State University Long Beach (CSULB) | Co-Principal Investigator |
Miller, Luke P. | Stanford University - Hopkins (Stanford-HMS) | Contact |
Copley, Nancy | Woods Hole Oceanographic Institution (WHOI BCO-DMO) | BCO-DMO Data Manager |
Growth data for animals on experimental plates in the field during 2013 was collected monthly via digital photographs and measured using ImageJ software. Respiration of limpets collected from the field during summer 2013 was measured in air or seawater at a range of temperatures for one hour or two hours.
Related Reference:
Miller, L.P., B.J. Allen, F.A. King, D.R. Chilin, V.M. Reynoso and M.W. Denny (2015). Warm microhabitats drive both increased respiration and growth rates of intertidal consumers. Marine Ecology Progress Series 522: 127-143 doi: http://dx.doi.org/10.3354/meps11117
Download R code: 2013_limpet_mass_analysis.R
Related Datasets (includes metadata) | Download original data files |
limpet mass and body volume | 2013_limpet_mass_master.csv |
limpet aquatic respiration | 2013_summer_aquatic_respiration_rates.csv |
limpet aerial respiration | 2013_summer_aerial_respiration_rates.csv |
These data are also available at the Stanford Digital Repository: https://purl.stanford.edu/mz343tz6255
Oxygen measurements taken using Ocean Optics FOXY fluorescence-based optode. Limpet mass data for all measured animals is included. Detailed methodology is available in Miller et al (2015).
Growth measurements were made by analyzing limpet shell projected area in ImageJ. Limpet respiration time series were used to estimate oxygen consumption rate. Complete analysis for size measurements and derived respiration rates are provided in the attached R code.
BCO-DMO Processing:
- added conventional header with dataset name, PI name, version date
- renamed parameters to BCO-DMO standard
- replaced NA with nd (no data)
- replaced spaces with underscores
- sorted data by air_water, then species, then temp
File |
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limpet_mass_sort.csv (Comma Separated Values (.csv), 125.73 KB) MD5:f60c9743ec4e7d0d0087ad8cbea8f431 Primary data file for dataset ID 630054 |
Parameter | Description | Units |
air_water | whether respiration trial was run in air or water (Reminder that many limpets in this data file were run as pilot trials and not included in the published analysis.) | unitless |
species | Lottia species name | unitless |
temp | temperature of respiration trial | degrees Celsius |
limpet | unique identifying label for each limpet consisting of a 3-character species name abbreviation and a 3 or 4 digit number: lim = Lottia limatula; dig = L. austrodigitalis; sca = L. scabra; pel = L. pelta | unitless |
mass_submerged_g | mass of the submerged live limpet in seawater; used for calculation of volume | grams |
mass_air_g | wet mass of live limpet (shell + tissue) | grams |
mass_empty_shell_g | dry mass of empty limpet shell | grams |
mass_tin_tare_g | mass of tin foil weighing dish; used for drying tissue | grams |
mass_dry_gross_g | mass of tin foil dish and dried tissue | grams |
image_id | corresponding image name for limpet shell (used to calculate projected area of shell) | unitless |
mass_tissue_live_g | wet tissue mass; calculated as difference between mass_air_g and mass_empty_shell_g | grams |
mass_net_dry_tissue_g | dried tissue mass; calculated as difference between mass_dry_gross_g and mass_tin_tare_g | grams |
mass_net_disp_g | net displaced mass; calculated as the difference betweenmass_air_g and mass_submerged_g | grams |
vol_limpet_cm3 | limpet displaced volume; calculated as mass_net_disp_g * 1.0247 (density of local seawater at 15C = 1.0247 g/cm^3). | cm^3 |
area_shell_mm2 | projected area of limpet shell when viewed from above; measured using the digital image of the shell in ImageJ by painting the outline of the shell and calculating the enclosed area. This same method was used to estimate limpet growth in the field using digital images taken from overhead. | mm^2 |
date_collection | date that limpet was collected from the field | mm/dd/yyyy |
date_trial | date of respiration measurements | mm/dd/yyyy |
comment | lists whether limpet shell was intact or chipped. Chipped shells should not be used to calculate the relationship between limpet mass and projected area measured in overhead images. | unitless |
Dataset-specific Instrument Name | |
Generic Instrument Name | Water Temperature Sensor |
Dataset-specific Description | iButton temperature datalogger (DS1921G, Maxim Integrated) |
Generic Instrument Description | General term for an instrument that measures the temperature of the water with which it is in contact (thermometer). |
Website | |
Platform | Hopkins Marine Station |
Start Date | 2013-01-01 |
End Date | 2013-12-31 |
Description | Limpet growth and respiration studies |
From NSF award abstract:
Functional traits of species are those that determine either species-specific responses to environmental conditions or their influence on ecological processes. Current theory suggests that communities with many species that perform a given function in a similar way but have different sensitivities to environmental conditions will exhibit greater temporal stability of ecosystem properties. So-called functional redundancy should lead to compensation among species, as some will do better when others do worse in response to environmental variability. Anthropogenic global warming is a major driver of current and anticipated changes in population dynamics, species interactions, and community structure from local to global scales. Resulting changes in biodiversity therefore have the potential to significantly alter important ecosystem properties such as productivity, nutrient cycling, and resistance to disturbance or invasion. Although ecologists have typically emphasized the response of populations and communities to changing climatic averages (e.g., increasing temperature and rainfall), global circulation models also predict significant increases in the intensity, frequency and duration of extreme weather and climate events in many parts of the world; that is, increases in the variability of the physical environment. Unfortunately, our current knowledge about the effects of increasing climatic variation on natural ecosystems is generally quite poor. Predicting how communities will likely respond to changing environmental variability has therefore been recognized as a critical research priority.
This project will advance our understanding of how projected changes in temperature variability will affect the behavior, demography, and interactions of key taxa on rocky shores, a model system for testing theoretical ecological predictions with field experiments. Environmental temperatures strongly influence the physiology, behavior, and demography of most organisms, and changes in average temperature have already been implicated in geographic range shifts of many species. A novel manipulative technique will be used to test the effects of changes in thermal variability on performance by a guild of congeneric grazing limpets, the productivity of their benthic microalgal food, and the resulting interaction strengths between the two taxa. Energy transfer among trophic levels is a key ecosystem process linked to local food-web support and rates of nutrient cycling. This research will evaluate not only species-specific effects of thermal variability on limpet survival, growth, and grazing activity, but also the potential for functional redundancy among limpet species to maintain that ecosystem function over time as environmental variability increases. Data generated from this study will provide a framework for future investigations of the consequences of climate change in this diverse and productive habitat.
Funding Source | Award |
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NSF Division of Ocean Sciences (NSF OCE) | |
NSF Division of Ocean Sciences (NSF OCE) |