1b:I[42426,["/_next/static/immutable/chunks/1xctgzqre-wsy.js","/_next/static/immutable/chunks/06_-wz6pdtp2b.js","/_next/static/immutable/chunks/30e52g49hg40p.js","/_next/static/immutable/chunks/02yq6tul2z-oh.js","/_next/static/immutable/chunks/10bx_ec2vj7n_.js","/_next/static/immutable/chunks/33bfn03fo8xnt.js","/_next/static/immutable/chunks/0tfjf78scu61b.js","/_next/static/immutable/chunks/31xnvej4n1bi9.js"],"default"] 1c:T4a3,

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

Related Datasets:

limpet aquatic respiration
limpet mass and body volume
limpet R-code and images

These data are also available at the Stanford Digital Repository: https://purl.stanford.edu/mz343tz6255

1d:Tb98,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.6:["$","$L1b",null,{"dataset":{"_id":"630116","description":"$1c","problem":"","acquisition":"

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).

\n","processing":"

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
\n- renamed parameters to BCO-DMO standard
\n- replaced space with underscore

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Lottia species name

","units":{"_id":"","name":"unitless"},"type":{"_id":"976","name":"species","description":"

a taxonomic binomial that consists of a genus name followed by the species name of an organism

"}},{"_id":"630127","name":"limpet","format":"","frictionlessType":"","description":"

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

","units":{"_id":"","name":"unitless"},"type":{"_id":"960","name":"sample","description":"

unique sample identification or number; any combination of alpha numeric characters; precise definition is file dependent

"}},{"_id":"630128","name":"well","format":"","frictionlessType":"","description":"

record of the individual respiration chamber well the limpet was in; values can be 1-15

","units":{"_id":"","name":"unitless"},"type":{"_id":"1073","name":"no_bcodmo_term","description":"

An association with a community-wide standard parameter has not yet been made.

"}},{"_id":"630129","name":"temp","format":"","frictionlessType":"","description":"

temperature of the water bath (and respiration chamber)

","units":{"_id":"","name":"degrees Celsius"},"type":{"_id":"733","name":"temperature","description":"

water temperature at measurement depth

"}},{"_id":"630130","name":"dry_wt_limpet_g","format":"","frictionlessType":"","description":"

limpet tissue dry mass after drying in the oven for 48hrs; the tissue was dissected from the shell

","units":{"_id":"","name":"grams"},"type":{"_id":"822","name":"dry_wgt_globec","description":"

dry weight calculated as (dvol/(100.139))(1/1.003), milligrams per meter cubed; this definition was primarily used by data from the GLOBEC program.

"}},{"_id":"630131","name":"rate_blank","format":"","frictionlessType":"","description":"

average rate of change of oxygen concentration in the 3 blank chamber wells used in each trial. The same value is used to correct the respiration rates for all limpets in a trial run.

","units":{"_id":"","name":"umol oxygen/hour"},"type":{"_id":"630100","name":"respiration","description":"