Biodiversity influences the effects of oil disturbance on coastal ecosystems

Two Data Files Included:

Oileffects_ALL_Final = Oil or oil + dispersant effect size calculation data set with meta-data for each experiment, study and response variable

DiversityEffect_MA_Final = Diversity effect size calculation data set with meta-data for each experiment, study and response variable

 

For both datasets, data parameters and units as described below:

Study Info

Author = first author's surname

Year.conduct = year study was conducted or if published, publication date

Study = separate number assigned to each individual study 

Exp.no = Letter representing the experiment within a study that has multiple experiments or treatments (corresponds on the Other.treatment.level column)

Substudy = combination of study and exp. no

Resp.no = response number in row (corresponds with Response type column) within each study

Time.no = time when response measured (initial, final, etc.)

Rep.id = concatenate of study, Exp.no, Resp.no to give unique identifier 

GRIIDC = GRIIDC doi for each experiment

Info of Treatment in each row

Oil Exposure Trmt = Oil, dispersant or both were exposed to

Oil exposure concentration = concentration of oil (or dispersant, dispersant + oil) being tested (if multiple levels tested in experiment). NA if there were not multiple levels tested, and instead the concentration is in the Oil Amount column.

Diversity Treatment = monoculture (averaged), max monoculture (best or least affected monoculture in oiling treatment) or polyculture (averaged)

Polyculture.Level = number of species or genotypes in polyculture treatment. NA if not a polyculture treatment in Diversity Treatment as no levels existed.

Max Mono Treatment = identification (species or genotype) of the max (best) monoculture treatment; best monoculture was recorded as the monoculture (on average) that was least affected by oil exposure. NA if not a max.mono in Diversity Treatment as not applicable.

Diversity Info

Div.cat = category of diversity manipulated (i.e. taxonomic, genetic or functional)

# Poly.treat = # of polyculture levels tested in study

Poly.Levels = description of polyculture levels (i.e. 2 species, 4 species, etc.)

div.design = additive vs. substitutive 

Broad taxa classification = phylum (animal vs plant) of target organisms manipulated

More specific classification = class or order of target organisms

Species = genus and species of manipulated/target organism

Target response species = species that response was measured on

Oiling Info (If ? in any oiling info column, this variable was unclear from GRIIDC, and/or publication)

# oil.levels = # oil exposure levels manipulated in the study

Oil levels = list of oil levels used in study

Oil Amount = amount of oil exposed to in study

Dispersant = Y or N dispersant treatments included in study

dispersant.trmt = Dispersant only, or Dispersant + Oil

 

Disp. amount = amount of dispersant exposed to in study

Oil.type = source of oil

Disp.type = source of dispersant

Oil.weathered = was oil weathered prior to addition – yes or no

oiling.method = pulse or press oiling

Experimental Design info (If NA in any column design/other trmt column, means that experiment only had diversity and oiling treatments, and no additional experimental treatments)

Other.treatments = additional treatments beside oiling and diversity. Or if multiple types of diversity manipulated within experiment, those are indicated here as well.

#treatment.levels = # of levels of other treatments

Other.treat.level = Description of other treatment level in the experiment

Exp.type = mescosom or microcosm (beakers), & indoor/outdoor

Season = season experiment conducted during

other.treat.level = other treatment level for response in this row

Response Properties

Response.type = actual response variable data in the row

Response.cat = more specific category of response (i.e. fitness, growth, predation, etc.)

Response.level = Population, community or ecosystem level response

Response units = actual units of the response variable (i.e. density, proportion survived)

Duration = experiment duration (total)

If.oil.pulse.timesince = units of time since oil exposure (if pulse exposure)

# times Sample = # of dependent replicates sampled throughout the experiment duration

Time.response = time point of response measured in row

Response to oiling

Mean.oiling = mean response to oiling treatment

Sd.oiling = standard deviation of response to oiling treatment

n.oiling = sample size in oiling treatment

Mean.no.oiling = mean response to no oiling treatment

Sd.no.oiling = standard deviation of response to no oiling treatment

n.no.oiling = sample size in no oiling treatment

Meta-analysis Response

LRR (log response ratio to oiling) = LN((Mean.oiling)/( Mean.no.oiling))

Var LRR (variance of log response ratio) =〖 Sd.oiling〗^2/((n.oiling)*〖Mean.oiling〗^2 )+〖 Sd.no.oiling〗^2/((n.no.oiling)*〖Mean.no.oiling〗^2 )

Hedge d (effect size): d² = (Mean.oiling-Mean.no.oiling )/√(((n.oiling-1) 〖 Sd.oiling〗^2+ (n.no.oiling-1) 〖 Sd.no.oiling〗^2 )/(n.oiling+n.no.oiling-2 )) x J

J is a correction factor for small sample sizes (J = 1- 3/(4 (n.oiling+n.no.oiling-2 )-1 ) )

Var Hd (variance of Hedge's d effect size) = 

Notes = any other information about how calculated means, etc. for the individual response variable