Data Package Metadata   View Summary

Data for a meta-analysis of the effect of kelp forests on fish communities around the world from observational and experimental studies spanning 1983-2020

General Information
Data Package:
Local Identifier:edi.1687.2
Title:Data for a meta-analysis of the effect of kelp forests on fish communities around the world from observational and experimental studies spanning 1983-2020
Alternate Identifier:DOI PLACE HOLDER
Abstract:

Data for Pérez-Matus, A., Micheli, F., Konar, B., Shears, N., Low, N., Okamoto, D., Wernberg, T., Krumhansl, K., Ling, S., Kinsgford, M., Navarrete-Fernandez, T., Ruz, C., and Byrnes, J. 2024. Kelp forests as nursery and foundational habitat for reef fish. Ecology. For the definitive analysis, see the paper. Code is at https://github.com/jebyrnes/fish_kelp_meta.

This data set concerns the effects of kelp on fish community composition. Data was mined as part of the National Center for Ecological Analysis and Synthesis (NCEAS) working group on "Global impacts of climate change on kelp forest ecosystems." It consists of digitized information from studies searched (see methods) examining fish community composition with and without kelp.

To summarize the study, conservation of marine biodiversity requires an understanding of the habitats needed to support and replenish species of interest. It also requires knowledge about the abundance and diversity of multi-species assemblages. Variation in the distribution and composition of kelp forests, one of the most productive marine coastal habitats globally, can have major influences on reef fishes – a group of ecologically and socio-economically important species. In the face of widespread and escalating loss of kelp forests, quantification of these effects is urgently needed to assess and project cascading impacts on biodiversity. Here, we evaluate relationships between kelp forests and associated reef fish populations using a global meta-analysis of experimental kelp removals and comparative surveys of kelp and adjacent non-kelp habitats. These analyses show that kelp forests increase the abundance of reef fishes, though the significance of this effect varied depending on the structural complexity of kelp forests. In experimental studies, kelp forests have a significant positive effect on fish species richness, revealing that kelp act as true foundation species by supporting the diversity of associated multi-species assemblages. Importantly, regardless of kelp forest morphology and type of study (observational or experimental studies), kelp forests enhance the recruitment of early life history stages suggesting they are nursery habitats for many reef fish taxa. Lastly, kelp forests differentially affected species with different functional traits; small body size fishes from low trophic levels (e.g., herbivore and detritivores, micropredators, and mesopredators) and large body size fish from higher trophic level (e.g., piscivores) were both facilitated by kelp forests. Taken together, these results indicate that the loss of kelp forest, particularly those with more complex morphology, can reduce total abundance and diversity of fish, with possible cascading consequences for coastal ecosystem function.

Publication Date:2024-06-27
For more information:
Visit: DOI PLACE HOLDER

Time Period
Begin:
1983
End:
2020

People and Organizations
Contact:Byrnes, Jarrett Edward Kaplan (UMass Boston) [  email ]
Creator:Pérez-Matus, Alejandro (Pontificia Universidad Católica de Chile: Santiago, Santiago , CL, Associate Professor)
Creator:Byrnes, Jarrett Edward Kaplan (University of Massachusetts Boston, Associate Professor)

Data Entities
Data Table Name:
Fishkelp_downloaded_from_googledocs_20230208
Description:
The raw data file generated by data recorders. Data was entered on google docs and downloaded using googlesheets4 before cleaning. Do not use for analysis, as masterFish_clean.csv is the cleaned data set.
Data Table Name:
masterFish_clean
Description:
The cleaned and merged data file used for analysis. Included are derived measures of effect sizes and geospatial information on marine ecoregion.
Data Table Name:
Fish-Kelp Kelp Taxon Information - Sheet1
Description:
Dataset describing the different assemblages of kelp included in the main data file.
Detailed Metadata

Data Entities


Data Table

Data:https://pasta-s.lternet.edu/package/data/eml/edi/1687/2/30d5e5861e97380605a25dfb941fda45
Name:Fishkelp_downloaded_from_googledocs_20230208
Description:The raw data file generated by data recorders. Data was entered on google docs and downloaded using googlesheets4 before cleaning. Do not use for analysis, as masterFish_clean.csv is the cleaned data set.
Number of Records:1391
Number of Columns:57

Table Structure
Object Name:Fishkelp_downloaded_from_googledocs_20230208.csv
Size:860714 byte
Authentication:44ddab283f489c2b0133e632182b78d4 Calculated By MD5
Text Format:
Number of Header Lines:1
Record Delimiter:\r\n
Orientation:column
Simple Delimited:
Field Delimiter:,
Quote Character:"

Table Column Descriptions
 ...1Authors (Year)IDSiteLatLongManagement_(OA_MPA_MEARB_Other)Temporal_ScaleMean kelpMean no KelpMean + one error bar KelpMean + one error bar no KelpError KelpError no-KelpError TypeVariableN (Kelp)N (no-kelp)Unit DimensionsArea (m2)Notes on Type of studyCommentsKelp TaxonClearing Size (m^2)Time Until Resampling (days)Mean Depth (m)Inferred Mechanism of Clearing (experiment_storm_heat wave_barren_kelp addition)Type of Study (Experimental_Observational)Observational Study Type (Spatial, Temporal)Single Species? (yes/no)Total Abundance? (yes/no)Species Richness? (yes/no)Biomass? (yes/no)Clearing Response (algae_barren_kelp)Survey Type (quadrat, transect, video, photo, Net/Trap)Short Variable DescriptionLatititude in Decimal DegreesLongitude in Decimal DegreesJuvenile, Adult, Bothsample unit area (m^2)Total Area Sampled per Treatment (m^2: n*replicate area)Mean kelp t0Mean no Kelp t0Mean + one error bar Kelp t0Mean + one error bar no Kelp t0Error Kelp t0Error no-Kelp t0Error Type t0Date of t0 (dd/mm/yyyy)Fish SpeciesOrderFamilyTrophic levelTrophic groupTotal Lenght (cm)Biomass (gr)Habitat Association (Benthic-Pelagic-Demersal)
Column Name:...1  
Authors (Year)  
ID  
Site  
Lat  
Long  
Management_(OA_MPA_MEARB_Other)  
Temporal_Scale  
Mean kelp  
Mean no Kelp  
Mean + one error bar Kelp  
Mean + one error bar no Kelp  
Error Kelp  
Error no-Kelp  
Error Type  
Variable  
N (Kelp)  
N (no-kelp)  
Unit Dimensions  
Area (m2)  
Notes on Type of study  
Comments  
Kelp Taxon  
Clearing Size (m^2)  
Time Until Resampling (days)  
Mean Depth (m)  
Inferred Mechanism of Clearing (experiment_storm_heat wave_barren_kelp addition)  
Type of Study (Experimental_Observational)  
Observational Study Type (Spatial, Temporal)  
Single Species? (yes/no)  
Total Abundance? (yes/no)  
Species Richness? (yes/no)  
Biomass? (yes/no)  
Clearing Response (algae_barren_kelp)  
Survey Type (quadrat, transect, video, photo, Net/Trap)  
Short Variable Description  
Latititude in Decimal Degrees  
Longitude in Decimal Degrees  
Juvenile, Adult, Both  
sample unit area (m^2)  
Total Area Sampled per Treatment (m^2: n*replicate area)  
Mean kelp t0  
Mean no Kelp t0  
Mean + one error bar Kelp t0  
Mean + one error bar no Kelp t0  
Error Kelp t0  
Error no-Kelp t0  
Error Type t0  
Date of t0 (dd/mm/yyyy)  
Fish Species  
Order  
Family  
Trophic level  
Trophic group  
Total Length (cm)  
Biomass (gr)  
Habitat Association (Benthic-Pelagic-Demersal)  
Definition:A blank column denoting row number.The authorship of the paper and year in parenthesis of the paper. For example “Cole et al. (1990)”.Number matching the study ID in the "Fish-Kelp Signup" sheet.Name of site as specified in the paper.Latitude of the site in arbitrary format.Longitude of the site in arbitrary format.Management regime if present. Either OA - Open Access MPA - Marine Protected Area MEARB - Management and exploitation area Other - Any other management typeThe length of time of the study. Descriptive.Mean Abundance of fish variable in a kelp patch mined from a table or Web Plot Digitizer. MeanMean Abundance of fish variable in a patch without kelp mined from a table or Web Plot Digitizer.Mean Abundance plus one unit of error of fish variable in a kelp patch mined from a table or Web Plot Digitizer.Mean Abundance plus one unit of error of fish variable in a patch without kelp mined from a table or Web Plot DigitizerOne unit of error for the mean kelp observation. I.e., the Mean + one error bar variable - mean.One unit of error for the mean no kelp observation. I.e., the Mean + one error bar variable - mean.The type of error measured. E.g., SD, SE, 2SE, 95% CI.Description of what was measuredThe sample size of the kelp observations.The sample size of the no kelp observations.The dimensions of one sample unit.The area in square meters of one sample unit. Note, this was filled in imprecisely in several ways. Should not be used for calculations, but can be used for reference.Short description of the study.Additional comments describing data harvesting and issues with the data.What kelp or kelps were manipulated or observed?What was the size of clearings in the study in square meters.How many days from the initiation of an experiment or disturbance event until when the observation was recorded.Depth where the observation was taken in meters.What mechanism can be inferred for creating a clearing.Was the study from an experimental manipulation or an observational study.If this was an observational study, were comparisons of plots made across space or over time?Did this data point record information about a single species?Did this data point record information about a total community abundance?Did this data point record values of species richness?Did this data point record information about a biomass?How did the kelp removal site respond. Did it turn back into an algal bed, a barren of some type, or did kelp return.What was used for the survey?3-4 word description of the response variable measured.Latitude of the site in decimal degrees.Longitude of the site in decimal degrees.Were the individuals sampled juvenile, adults, or a mixture of both juveniles and adults?The size of one measurement unit in square meters (e.g., one quadrat, or one transect, or one two).The total area sampled if you summed up the area of all of the replicate samples. Typically, this is n * the sample area.Mean Abundance of fish variable in a kelp patch from before the removal event. This can be mined from a table or Web Plot Digitizer.Mean Abundance of fish variable in a no kelp patch from before the removal event. This can be mined from a table or Web Plot Digitizer.Mean Abundance plus one unit of error of fish variable in a kelp patch from before the removal event. This can be mined from a table or Web Plot Digitizer.Mean Abundance plus one unit of error of fish variable in a kelp patch from before the removal event. This can be mined from a table or Web Plot Digitizer.One unit of error for the mean kelp observation before the removal event. I.e., the Mean + one error bar variable - mean.One unit of error for the mean no kelp observation before the removal event. I.e., the Mean + one error bar variable - meanThe type of error measured before the removal. E.g., SD, SE, 2SE, 95% CI.Date that the removal was started in the format specified.Latin Binomial of fish species name if single species.Order of fish species.Family of fish speciesTrophic level as defined by http://fishbase.org.Trophic group of fish as defined by http://fishbase.org.Average length (cm) of fish species as defined by http://fishbase.org.Average biomass (g) of fish species as defined by http://fishbase.org.Is this a species that tends to be benthic, pelagic, or demersal. Defined by http://fishbase.org.
Storage Type:float  
string  
float  
string  
float  
float  
string  
string  
float  
float  
float  
float  
float  
float  
string  
string  
float  
float  
string  
string  
string  
string  
string  
float  
float  
string  
string  
string  
string  
string  
string  
string  
string  
string  
string  
string  
float  
float  
string  
float  
float  
string  
string  
float  
float  
float  
float  
string  
string  
string  
string  
string  
float  
string  
float  
float  
string  
Measurement Type:rationominalrationominalratiorationominalnominalratioratioratioratioratiorationominalnominalratiorationominalnominalnominalnominalnominalratiorationominalnominalnominalnominalnominalnominalnominalnominalnominalnominalnominalratiorationominalratiorationominalnominalratioratioratiorationominalnominalnominalnominalnominalrationominalratiorationominal
Measurement Values Domain:
Unitrow number
Typeinteger
Definitiontext
UnitStudy ID number
Typeinteger
Definitiontext
Unitdegree
Typereal
Unitdegree
Typereal
Allowed Values and Definitions
Enumerated Domain 
Code Definition
CodeBOTH
DefinitionMultiple management regimes
Source
Code Definition
CodeMEABR
DefinitionManagement and exploitation area
Source
Code Definition
CodeMPA
DefinitionMarine Protected Area
Source
Code Definition
CodeMR
DefinitionAny other management type
Source
Code Definition
Codena
DefinitionNo management type
Source
Code Definition
CodeNa
DefinitionNo management type
Source
Code Definition
CodeOA
DefinitionOpen Access MPA
Source
Definitiontext
UnitAbundance metric or number of species.
Typereal
UnitAbundance metric or number of species.
Typereal
UnitAbundance metric or number of species.
Typereal
UnitAbundance metric or number of species.
Typereal
UnitVaries. Described in Error Type.
Typereal
UnitVaries. Described in Error Type.
Typereal
Allowed Values and Definitions
Enumerated Domain 
Code Definition
Code2SE
DefinitionTwo standard errors
Source
Code Definition
CodeSD
DefinitionStandard Deviation
Source
Code Definition
CodeSE
DefinitionStandard Error
Source
Definitiontext
UnitNumber of replicates
Typereal
UnitNumber of replicates
Typereal
Definitiontext
Definitiontext
Definitiontext
Definitiontext
Definitiontext
UnitmeterSquared
Typereal
Unitdays
Typereal
Definitiontext
Allowed Values and Definitions
Enumerated Domain 
Code Definition
Codebarren
DefinitionUrchin barren creating kelp removal
Source
Code Definition
CodeBarren
DefinitionUrchin barren creating kelp removal
Source
Code Definition
CodeBarren vs. Kelp
DefinitionUrchin barren creating kelp removal
Source
Code Definition
CodeClearing
DefinitionExperimental kelp removal
Source
Code Definition
CodeExperiment
DefinitionExperimental kelp removal
Source
Code Definition
Codeexperiment
DefinitionExperimental kelp removal
Source
Code Definition
CodeExperimental (subcanopy)
DefinitionExperimental kelp removal of just the subcanopy
Source
Code Definition
Codekelp addition
DefinitionExperimental kelp addition
Source
Code Definition
CodeKelp Addition
DefinitionExperimental kelp addition
Source
Code Definition
Codekelp Addition
DefinitionExperimental kelp addition
Source
Allowed Values and Definitions
Enumerated Domain 
Code Definition
CodeExperimental with manipulation
DefinitionExperiment
Source
Code Definition
Codeexperimental
DefinitionExperimental with manipulation
Source
Code Definition
CodeObservational
DefinitionObservational study only with no manipulation
Source
Code Definition
CodeExperimental
DefinitionExperimental with manipulation
Source
Allowed Values and Definitions
Enumerated Domain 
Code Definition
CodeSpatial
DefinitionComparisons made of plots across space at one time point. Cross-sectional design.
Source
Code Definition
Codespatial
DefinitionComparisons made of plots across space at one time point. Cross-sectional design.
Source
Code Definition
CodeTemporal
DefinitionComparisons made of plots across multiple time points. Longitudinal design.
Source
Code Definition
Codetemporal
DefinitionComparisons made of plots across multiple time points. Longitudinal design.
Source
Allowed Values and Definitions
Enumerated Domain 
Code Definition
Codeno
DefinitionNot a measure of single species abundance
Source
Code Definition
Codeyes
DefinitionSingle species
Source
Code Definition
CodeYes
DefinitionSingle species
Source
Allowed Values and Definitions
Enumerated Domain 
Code Definition
Codeno
DefinitionDid not record total community abundance
Source
Code Definition
CodeNo
DefinitionDid not record total community abundance
Source
Code Definition
Codeyes
DefinitionRecord of total community abundance
Source
Allowed Values and Definitions
Enumerated Domain 
Code Definition
Codeno
DefinitionNot a record of species richness
Source
Code Definition
CodeNo
DefinitionNot a record of species richness
Source
Code Definition
Codeyes
DefinitionA record of species richness
Source
Allowed Values and Definitions
Enumerated Domain 
Code Definition
Codeno
DefinitionNot a record of total fish biomass
Source
Code Definition
CodeNo
DefinitionNot a record of total fish biomass
Source
Code Definition
Codeyes
DefinitionA record of total fish biomass
Source
Allowed Values and Definitions
Enumerated Domain 
Code Definition
Codebarren
DefinitionSite turned to a barren
Source
Code Definition
CodeKelp
DefinitionSite turned to a kelp bed
Source
Code Definition
Codekelp
DefinitionSite turned to a kelp bed
Source
Code Definition
Codeno
DefinitionNot a removal
Source
Code Definition
CodeNo
DefinitionNot a removal
Source
Allowed Values and Definitions
Enumerated Domain 
Code Definition
CodeNet
DefinitionSampling of fish by net
Source
Code Definition
CodePoint Count
DefinitionSampling of fish with point counts
Source
Code Definition
CodeQuadrat
DefinitionSampling of fish with standard sized quadrats
Source
Code Definition
CodeROV
DefinitionSampling of fish with an ROV video
Source
Code Definition
CodeSMURF/light trap
DefinitionSampling of fish with a recruitment sampling device or light trap
Source
Code Definition
Codetransect
DefinitionSampling of fish on a transect line
Source
Code Definition
CodeTransect
DefinitionSampling of fish on a transect line
Source
Code Definition
CodeTransect and video
DefinitionSampling of fish on a transect line with video
Source
Code Definition
Codetransect, video
DefinitionSampling of fish on a transect line with video
Source
Code Definition
CodeVideo
DefinitionVideo sampling of fish
Source
Definitiontext
Unitdegree
Typereal
Unitdegree
Typereal
Allowed Values and Definitions
Enumerated Domain 
Code Definition
CodeAdult
DefinitionIndividuals sampled were adults
Source
Code Definition
CodeAdults
DefinitionIndividuals sampled were Adults
Source
Code Definition
CodeBoth
DefinitionIndividuals sampled were both
Source
Code Definition
CodeJuvenile
DefinitionIndividuals sampled were juveniles
Source
UnitmeterSquared
Typereal
UnitmeterSquared
Typereal
Definitiontext
Definitiontext
UnitAbundance or richness
Typereal
UnitAbundance or richness
Typereal
UnitAbundance metric or number of species.
Typereal
UnitAbundance metric or number of species.
Typereal
Allowed Values and Definitions
Enumerated Domain 
Code Definition
Code95%
Definition95th Percent confidence interval
Source
Code Definition
Code1 SE
DefinitionOne standard error
Source
Code Definition
Code1SE
DefinitionOne standard error
Source
Code Definition
Codena
DefinitionNo data
Source
Code Definition
CodeSD
DefinitionOne standard deviation
Source
Code Definition
CodeSE
DefinitionOne standard error
Source
Code Definition
Code%
Definition95th Percent confidence interval
Source
Definitiontext
Definitiontext
Definitiontext
Definitiontext
UnitTrophic Level
Typereal
Allowed Values and Definitions
Enumerated Domain 
Code Definition
CodeCarnivore
DefinitionEats other animals
Source
Code Definition
CodeDetritivore
DefinitionEats detritus
Source
Code Definition
CodeHerbivore
DefinitionEats algae
Source
Code Definition
Codeherbivore
DefinitionEats algae
Source
Code Definition
CodeHerbivore and invertivore
DefinitionEats algae and invertebrates
Source
Code Definition
Codeinvertivore
DefinitionEats invertebrates
Source
Code Definition
CodeInvertivore
DefinitionEats invertebrates
Source
Code Definition
Codena
DefinitionNot a single fish species
Source
Code Definition
CodeOmnivore
DefinitionEats animals and algae
Source
Code Definition
Codeomnivore
DefinitionEats animals and algae
Source
Code Definition
Codepiscivore
DefinitionEats other fish
Source
Code Definition
CodePiscivore
DefinitionEats other fish
Source
Code Definition
CodePlanktivore
DefinitionEats plankton
Source
Unitcentimeter
Typereal
Unitgram
Typereal
Definitiontext
Missing Value Code:    
CodeNA
ExplID not in entry sheet
     
CodeNA
ExplNo management regime
CodeNA
ExplNot provided.
 
CodeNA
ExplNot present
CodeNA
ExplNo data
CodeNA
ExplNo data
CodeNA
ExplNo data
CodeNA
ExplNo data
CodeNA
ExplNo data
 
CodeNA
ExplNo data
CodeNA
ExplNo data
CodeNA
ExplNo data
CodeNA
ExplNo data
 
CodeNA
ExplNo comments
 
CodeNA
ExplNot a clearing or no data
CodeNA
ExplNo data
 
CodeNA
ExplNo information
         
Codena
ExplNo measurement
Codena
ExplNo data
 
CodeNA
ExplNot provided
     
CodeNA
ExplNo data
CodeNA
ExplNo data
CodeNA
ExplNo measurement
CodeNA
ExplNo measurement
CodeNA
ExplNo measurement
Codena
ExplNo measurement
CodeNA
ExplNo measurement
Codena
ExplNo measurement
CodeNA
ExplNo measurement
Codena
ExplNo measurement
CodeNA
ExplNo data
Codena
ExplNo measurement
CodeNA
ExplNo data
CodeNA
ExplNo data
CodeNA
ExplNot a single fish species
CodeNA
ExplNot a single fish species
CodeNA
ExplNot a single fish species
CodeNA
ExplNot a single fish species
Codena
ExplNot a single fish species
CodeNA
ExplNot a single fish species
CodeNA
ExplNo data
Codena
ExplNo data
CodeNA
ExplNo data
Codena
ExplNo data
CodeNA
ExplNo data
Accuracy Report:                                                                                                                  
Accuracy Assessment:                                                                                                                  
Coverage:                                                                                                                  
Methods:                                                                                                                  

Data Table

Data:https://pasta-s.lternet.edu/package/data/eml/edi/1687/2/a408941b4df6d6b77ea6681a92352332
Name:masterFish_clean
Description:The cleaned and merged data file used for analysis. Included are derived measures of effect sizes and geospatial information on marine ecoregion.
Number of Records:1364
Number of Columns:74

Table Structure
Object Name:masterFish_clean.csv
Size:1218198 byte
Authentication:31828fb75d4cb27d508c5b8ca5fb10d4 Calculated By MD5
Text Format:
Number of Header Lines:1
Record Delimiter:\r\n
Orientation:column
Simple Delimited:
Field Delimiter:,
Quote Character:"

Table Column Descriptions
 Kelp.TaxonXAuthors..Year.IDSiteLatLongManagement_.OA_MPA_MEARB_Other.Temporal_ScaleMean.kelpMean.no.KelpMean...one.error.bar.KelpMean...one.error.bar.no.KelpError.KelpError.no.KelpError.TypeVariableN..Kelp.N..no.kelp.Unit.DimensionsArea..m2.Notes.on.Type.of.studyCommentsClearing.Size..m.2.Time.Until.Resampling..days.Mean.Depth..m.Inferred.Mechanism.of.Clearing..experiment_storm_heat.wave_barren_kelp.addition.Type.of.Study..Experimental_ObservatioNAl.Observational.Study.Type..Spatial..Temporal.Single.Species...yes.no.Total.Abundance...yes.no.Species.Richness...yes.no.Biomass...yes.no.Clearing.Response..algae_barren_kelp.Survey.Type..quadrat..transect..video..photo..Net.Trap.Short.Variable.DescriptionLatititude.in.Decimal.DegreesLongitude.in.Decimal.DegreesJuvenile..Adult..Bothsample.unit.area..m.2.Total.Area.Sampled.per.Treatment..m.2..n.replicate.area.Mean.kelp.t0Mean.no.Kelp.t0Mean...one.error.bar.Kelp.t0Mean...one.error.bar.no.Kelp.t0Error.Kelp.t0Error.no.Kelp.t0Error.Type.t0Date.of.t0..dd.mm.yyyy.Fish.SpeciesOrderFamilyTrophic.levelTrophic.groupTotal.Lenght..cm.Biomass..gr.Habitat.Association..Benthic.Pelagic.Demersal.sd_kelpsd_nokelprawLRLRVLRHedges.GVHedges.GPatchHeight..m.Single.or.Multi.StipeErect.or.ProstrateEpibiont.Load.PotentialCommentlenECOREGIONPROVINCEREALM
Column Name:Kelp.Taxon  
X  
Authors..Year.  
ID  
Site  
Lat  
Long  
Management_.OA_MPA_MEARB_Other.  
Temporal_Scale  
Mean.kelp  
Mean.no.Kelp  
Mean...one.error.bar.Kelp  
Mean...one.error.bar.no.Kelp  
Error.Kelp  
Error.no.Kelp  
Error.Type  
Variable  
N..Kelp.  
N..no.kelp.  
Unit.Dimensions  
Area..m2.  
Notes.on.Type.of.study  
Comments  
Clearing.Size..m.2.  
Time.Until.Resampling..days.  
Mean.Depth..m.  
Inferred.Mechanism.of.Clearing..experiment_storm_heat.wave_barren_kelp.addition.  
Type.of.Study..Experimental_ObservatioNAl.  
Observational.Study.Type..Spatial..Temporal.  
Single.Species...yes.no.  
Total.Abundance...yes.no.  
Species.Richness...yes.no.  
Biomass...yes.no.  
Clearing.Response..algae_barren_kelp.  
Survey.Type..quadrat..transect..video..photo..Net.Trap.  
Short.Variable.Description  
Latititude.in.Decimal.Degrees  
Longitude.in.Decimal.Degrees  
Juvenile..Adult..Both  
sample.unit.area..m.2.  
Total.Area.Sampled.per.Treatment..m.2..n.replicate.area.  
Mean.kelp.t0  
Mean.no.Kelp.t0  
Mean...one.error.bar.Kelp.t0  
Mean...one.error.bar.no.Kelp.t0  
Error.Kelp.t0  
Error.no.Kelp.t0  
Error.Type.t0  
Date.of.t0..dd.mm.yyyy.  
Fish.Species  
Order  
Family  
Trophic.level  
Trophic.group  
Total.Lenght..cm.  
Biomass..gr.  
Habitat.Association..Benthic.Pelagic.Demersal.  
sd_kelp  
sd_nokelp  
rawLR  
LR  
VLR  
Hedges.G  
VHedges.G  
Patch  
Height..m.  
Single.or.Multi.Stipe  
Erect.or.Prostrate  
Epibiont.Load.Potential  
Comment  
len  
ECOREGION  
PROVINCE  
REALM  
Definition:What kelp or kelps were manipulated or observed?A blank column denoting row number.The authorship of the paper and year in parenthesis of the paper. For example “Cole et al. (1990)”.Number matching the study ID in the "Fish-Kelp Signup" sheet.Name of site as specified in the paper.Latitude of the site in arbitrary format.Longitude of the site in arbitrary format.Management regime if present. Either OA - Open Access MPA - Marine Protected Area MEARB - Management and exploitation area Other - Any other management typeThe length of time of the study. Descriptive.Mean Abundance of fish variable in a kelp patch mined from a table or Web Plot Digitizer. MeanMean Abundance of fish variable in a patch without kelp mined from a table or Web Plot Digitizer.Mean Abundance plus one unit of error of fish variable in a kelp patch mined from a table or Web Plot Digitizer.Mean Abundance plus one unit of error of fish variable in a patch without kelp mined from a table or Web Plot DigitizerOne unit of error for the mean kelp observation. I.e., the Mean + one error bar variable - mean.One unit of error for the mean no kelp observation. I.e., the Mean + one error bar variable - mean.The type of error measured. E.g., SD, SE, 2SE, 95% CI.Description of what was measuredThe sample size of the kelp observations.The sample size of the no kelp observations.The dimensions of one sample unit.The area in square meters of one sample unit. Note, this was filled in imprecisely in several ways. Should not be used for calculations, but can be used for reference.Short description of the study.Additional comments describing data harvesting and issues with the data.What was the size of clearings in the study in square meters.How many days from the initiation of an experiment or disturbance event until when the observation was recorded.Depth where the observation was taken in meters.What mechanism can be inferred for creating a clearing.Was the study from an experimental manipulation or an observational study.If this was an observational study, were comparisons of plots made across space or over time?Did this data point record information about a single species?Did this data point record information about a total community abundance?Did this data point record values of species richness?Did this data point record information about a biomass?How did the kelp removal site respond. Did it turn back into an algal bed, a barren of some type, or did kelp return.What was used for the survey?3-4 word description of the response variable measured.Latitude of the site in decimal degrees.Longitude of the site in decimal degrees.Were the individuals sampled juvenile, adults, or a mixture of both juveniles and adults?The size of one measurement unit in square meters (e.g., one quadrat, or one transect, or one two).The total area sampled if you summed up the area of all of the replicate samples. Typically, this is n * the sample area.Mean Abundance of fish variable in a kelp patch from before the removal event. This can be mined from a table or Web Plot Digitizer.Mean Abundance of fish variable in a no kelp patch from before the removal event. This can be mined from a table or Web Plot Digitizer.Mean Abundance plus one unit of error of fish variable in a kelp patch from before the removal event. This can be mined from a table or Web Plot Digitizer.Mean Abundance plus one unit of error of fish variable in a kelp patch from before the removal event. This can be mined from a table or Web Plot Digitizer.One unit of error for the mean kelp observation before the removal event. I.e., the Mean + one error bar variable - mean.One unit of error for the mean no kelp observation before the removal event. I.e., the Mean + one error bar variable - meanThe type of error measured before the removal. E.g., SD, SE, 2SE, 95% CI.Date that the removal was started in the format specified.Latin Binomial of fish species name if single species.Order of fish species.Family of fish speciesTrophic level as defined by http://fishbase.org.Trophic group of fish as defined by http://fishbase.org.Average length (cm) of fish species as defined by http://fishbase.org.Average biomass (g) of fish species as defined by http://fishbase.org.Is this a species that tends to be benthic, pelagic, or demersal. Defined by http://fishbase.org.Standard Deviation of measurement of fish in kelp.Standard Deviation of measurement of fish in no kelp area.The Log Ratio of the effect size calculated as log(Fish with kelp+1/Fish with no kelp+1).The Log Ratio of the effect size calculated by the metafor package in R.The variance of the Log Ratio of the effect size calculated by the metafor package in R.Hedge’s G as a measure of effect size as defined by (Fish with kelp - fish without kelp)/pooled SD.Variance in Hedge’s G as calculated by the metafor package in R.Is this a single species or mix of species.The average height of the kelp species present in the study.Whether the kelp species involved were single stipe or multiple stipe individuals. If mixed, then use Multi.Whether the kelp species involved were erect (stipes are vertical) kelps or prostrate (stipe and kelp lays along the seafloor)The potential epibiont load of the kelp species involved. Qualitative judgement by the authors.Additional comments about kelp speciesNumber of measurements in one studyEcoregion using Spalding et al.’s 2008 Marine Ecoregions of the World definition.Province using Spalding et al.’s 2008 Marine Ecoregions of the World definition.Realm using Spalding et al.’s 2008 Marine Ecoregions of the World definition.
Storage Type:string  
float  
string  
string  
string  
float  
float  
string  
string  
float  
float  
float  
float  
float  
float  
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float  
float  
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float  
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float  
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string  
Measurement Type:nominalrationominalnominalnominalratiorationominalnominalratioratioratioratioratiorationominalnominalratiorationominalnominalnominalnominalratioratiorationominalnominalnominalnominalnominalnominalnominalnominalnominalnominalratiorationominalratiorationominalnominalrationominalnominalnominalnominalnominalnominalnominalnominalnominalnominalnominalnominalnominalratioratioratioratioratioratiorationominalrationominalnominalnominalnominalrationominalnominalnominal
Measurement Values Domain:
Definitiontext
Unitrow number
Typeinteger
Definitiontext
Definitiontext
Definitiontext
Unitdegree
Typereal
Unitdegree
Typereal
Allowed Values and Definitions
Enumerated Domain 
Code Definition
CodeBOTH
DefinitionMultiple management regimes
Source
Code Definition
CodeMEABR
DefinitionManagement and exploitation area
Source
Code Definition
CodeMPA
DefinitionMarine Protected Area
Source
Code Definition
CodeMR
DefinitionAny other management type
Source
Code Definition
CodeOA
DefinitionOpen Access MPA
Source
Definitiontext
UnitAbundance metric or number of species.
Typereal
UnitAbundance metric or number of species.
Typereal
UnitAbundance metric or number of species.
Typereal
UnitAbundance metric or number of species.
Typereal
UnitVaries. Described in Error Type.
Typereal
UnitVaries. Described in Error Type.
Typereal
Allowed Values and Definitions
Enumerated Domain 
Code Definition
Code2SE
DefinitionTwo standard errors
Source
Code Definition
CodeSD
DefinitionStandard Deviation
Source
Code Definition
CodeSE
DefinitionStandard Error
Source
Definitiontext
UnitNumber of replicates
Typereal
UnitNumber of replicates
Typereal
Definitiontext
Definitiontext
Definitiontext
Definitiontext
UnitmeterSquared
Typereal
Unitdays
Typereal
Unitdegree
Typereal
Allowed Values and Definitions
Enumerated Domain 
Code Definition
Codebarren
DefinitionUrchin barren creating kelp removal
Source
Code Definition
CodeClearing
DefinitionExperimental kelp removal
Source
Code Definition
Codeexperiment
DefinitionExperimental kelp removal
Source
Code Definition
Codeexperimental (subcanopy)
DefinitionExperimental kelp removal of just the subcanopy
Source
Code Definition
Codekelp addition
DefinitionExperimental kelp addition
Source
Allowed Values and Definitions
Enumerated Domain 
Code Definition
CodeExperimental
DefinitionExperimental with manipulation
Source
Code Definition
CodeObservational
DefinitionObservational study only with no manipulation
Source
Allowed Values and Definitions
Enumerated Domain 
Code Definition
CodeSpatial
DefinitionComparisons made of plots across space at one time point. Cross-sectional design.
Source
Code Definition
CodeTemporal
DefinitionComparisons made of plots across multiple time points. Longitudinal design.
Source
Allowed Values and Definitions
Enumerated Domain 
Code Definition
Codeno
DefinitionNot a measure of single species abundance
Source
Code Definition
Codeyes
DefinitionSingle species
Source
Allowed Values and Definitions
Enumerated Domain 
Code Definition
Codeno
DefinitionDid not record total community abundance
Source
Code Definition
Codeyes
DefinitionRecord of total community abundance
Source
Allowed Values and Definitions
Enumerated Domain 
Code Definition
Codeno
DefinitionNot a record of species richness
Source
Code Definition
Codeyes
DefinitionA record of species richness
Source
Allowed Values and Definitions
Enumerated Domain 
Code Definition
Codeno
DefinitionNot a record of total fish biomass
Source
Code Definition
Codeyes
DefinitionA record of total fish biomass
Source
Allowed Values and Definitions
Enumerated Domain 
Code Definition
Codebarren
DefinitionSite turned to a barren
Source
Code Definition
Codekelp
DefinitionSite turned to a kelp bed
Source
Code Definition
Codeno
DefinitionNot a removal
Source
Allowed Values and Definitions
Enumerated Domain 
Code Definition
CodeNet
DefinitionSampling of fish by net
Source
Code Definition
CodePoint Count
DefinitionSampling of fish with point counts
Source
Code Definition
CodeQuadrat
DefinitionSampling of fish with standard sized quadrats
Source
Code Definition
CodeROV
DefinitionSampling of fish with an ROV video
Source
Code Definition
CodeSMURF/light trap
DefinitionSampling of fish with a recruitment sampling device or light trap
Source
Code Definition
CodeTransect
DefinitionSampling of fish on a transect line
Source
Code Definition
Codetransect
DefinitionSampling of fish on a transect line
Source
Code Definition
CodeTransect
DefinitionSampling of fish on a transect line
Source
Code Definition
CodeTransect and video
DefinitionSampling of fish on a transect line with video
Source
Code Definition
Codetransect, video
DefinitionSampling of fish on a transect line with video
Source
Code Definition
CodeVideo
DefinitionVideo sampling of fish
Source
Definitiontext
Unitdegree
Typereal
UnitmeterSquared
Typereal
Allowed Values and Definitions
Enumerated Domain 
Code Definition
CodeAdult
DefinitionIndividuals sampled were Adults
Source
Code Definition
CodeBoth
DefinitionIndividuals sampled were both
Source
Code Definition
CodeJuvenile
DefinitionIndividuals sampled were juveniles
Source
UnitmeterSquared
Typereal
UnitmeterSquared
Typereal
Definitiontext
Definitiontext
UnitAbundance or richness
Typereal
Definitiontext
Definitiontext
Definitiontext
Allowed Values and Definitions
Enumerated Domain 
Code Definition
Code%
Definition95th Percent confidence interval
Source
Code Definition
Code1 SE
DefinitionOne standard error
Source
Code Definition
Code1SE
DefinitionOne standard error
Source
Code Definition
Codena
DefinitionNo data
Source
Code Definition
CodeSD
DefinitionOne standard deviation
Source
Code Definition
CodeSE
DefinitionOne standard error
Source
Definitiontext
Definitiontext
Definitiontext
Definitiontext
Definitiontext
Allowed Values and Definitions
Enumerated Domain 
Code Definition
CodeCarnivore
DefinitionEats other animals
Source
Code Definition
CodeDetritivore
DefinitionEats detritus
Source
Code Definition
CodeHerbivore
DefinitionEats algae
Source
Code Definition
CodeInvertivore
DefinitionEats invertebrates
Source
Code Definition
Codena
DefinitionNot a single fish species
Source
Code Definition
CodeOmnivore
DefinitionEats animals and algae
Source
Code Definition
CodePlanktivore
DefinitionEats plankton
Source
Definitiontext
Definitiontext
Definitiontext
UnitStandard deviation of abundance or richness
Typereal
UnitStandard deviation of abundance or richness
Typereal
UnitLog ratio
Typereal
UnitLog ratio
Typereal
UnitVariance of Log Ratio
Typereal
UnitHedge's G
Typereal
UnitVariance in Hedge's G
Typereal
Allowed Values and Definitions
Enumerated Domain 
Code Definition
CodeMixed
DefinitionMixed species stand
Source
Code Definition
CodeSingle
DefinitionSingle species stand
Source
Unitmeter
Typereal
Allowed Values and Definitions
Enumerated Domain 
Code Definition
CodeMulti
DefinitionSpecies have multiple stipes per individual
Source
Code Definition
CodeSingle
DefinitionSpecies have one stipe per individual
Source
Allowed Values and Definitions
Enumerated Domain 
Code Definition
CodeBoth
DefinitionMix of species that are both erect and prostrate
Source
Code Definition
CodeErect
DefinitionSpecies stand up, with stipe extending above the seafloor upwards.
Source
Code Definition
CodeProstrate
DefinitionStipes and blades in species lie along the seafloor, although can be lifted by current.
Source
Allowed Values and Definitions
Enumerated Domain 
Code Definition
CodeHigh
DefinitionCan be saturated with epibionts
Source
Code Definition
CodeMedium
DefinitionCan have up to 50% cover of epibionts
Source
Code Definition
CodeLow
DefinitionMinimal cover of epibionts on average
Source
Definitiontext
UnitNumber of measurements
Typeinteger
Definitiontext
Definitiontext
Definitiontext
Missing Value Code:              
CodeNA
ExplNo management regime
CodeNA
ExplNot provided.
   
CodeNA
ExplNot present
CodeNA
ExplNo data
CodeNA
ExplNo data
CodeNA
ExplNo data
CodeNA
ExplNo data
 
CodeNA
ExplNo data
CodeNA
ExplNo data
CodeNA
ExplNo data
CodeNA
ExplNo data
 
CodeNA
ExplNo comments
CodeNA
ExplNot a clearing or no data
CodeNA
ExplNo data
CodeNA
ExplNo data
CodeNA
ExplNo data or not able to be inferred.
           
Codena
ExplNot a clearing or no data
 
CodeNA
ExplNone provided
     
CodeNA
ExplNo data
CodeNA
ExplNo data
CodeNA
ExplNo measurement
CodeNA
ExplNo measurement
CodeNA
ExplNo measurement
Codena
ExplNo measurement
CodeNA
ExplNo measurement
CodeNA
ExplNo data
CodeNA
ExplNo data
CodeNA
ExplNo data
CodeNA
ExplNo data
CodeNA
ExplNot a single fish species
CodeNA
ExplNot a single fish species
CodeNA
ExplNot a single fish species
CodeNA
ExplNot a single fish species
CodeNA
ExplNot a single fish species
CodeNA
ExplNo data
CodeNA
ExplNo data
CodeNA
ExplNo data
CodeNA
ExplNo data or could not be calculated
CodeNA
ExplNo data or could not be calculated
   
CodeNA
ExplCould not be calculated
CodeNA
ExplCould not be calculated
CodeNA
ExplCould not be calculated
         
CodeNA
ExplNo comment provided
 
CodeNA
ExplNot able to be obtained given latitude and longitude.
CodeNA
ExplNot able to be obtained given latitude and longitude.
CodeNA
ExplNot able to be obtained given latitude and longitude.
Accuracy Report:                                                                                                                                                    
Accuracy Assessment:                                                                                                                                                    
Coverage:                                                                                                                                                    
Methods:                                                                                                                                                    

Data Table

Data:https://pasta-s.lternet.edu/package/data/eml/edi/1687/2/ec230be63d856b257dd7597d7e429d59
Name:Fish-Kelp Kelp Taxon Information - Sheet1
Description:Dataset describing the different assemblages of kelp included in the main data file.
Number of Records:25
Number of Columns:7

Table Structure
Object Name:Fish-Kelp Kelp Taxon Information - Sheet1.csv
Size:1828 byte
Authentication:b80090a32e31f982162fba35275efd1b Calculated By MD5
Text Format:
Number of Header Lines:1
Record Delimiter:\r\n
Orientation:column
Simple Delimited:
Field Delimiter:,
Quote Character:"

Table Column Descriptions
 Kelp TaxonPatchHeight (m)Single or Multi-StipeErect or ProstrateEpibiont Load PotentialComment
Column Name:Kelp Taxon  
Patch  
Height (m)  
Single or Multi-Stipe  
Erect or Prostrate  
Epibiont Load Potential  
Comment  
Definition:The latin binomial name of the one or more species (if an assemplage was sampled) of an alga.Is this a single species or mix of species.The average height of the kelp species present in the study.Whether the kelp species involved were single stipe or multiple stipe individuals. If mixed, then use Multi.Whether the kelp species involved were erect (stipes are vertical) kelps or prostrate (stipe and kelp lays along the seafloor)The potential epibiont load of the kelp species involved. Qualitative judgement by the authors.Additional comments about kelp species
Storage Type:string  
string  
float  
string  
string  
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string  
Measurement Type:nominalnominalrationominalnominalnominalnominal
Measurement Values Domain:
Definitiontext
Allowed Values and Definitions
Enumerated Domain 
Code Definition
CodeMixed
DefinitionMixed species stand
Source
Code Definition
CodeSingle
DefinitionSingle species stand
Source
Unitmeter
Typereal
Allowed Values and Definitions
Enumerated Domain 
Code Definition
CodeMulti
DefinitionSpecies have multiple stipes per individual
Source
Code Definition
CodeMulti/Single
DefinitionSome species have multiple stipes per individual, some have one
Source
Code Definition
CodeSingle
DefinitionSpecies have one stipe per individual
Source
Allowed Values and Definitions
Enumerated Domain 
Code Definition
CodeErect
DefinitionSpecies stand up, with stipe extending above the seafloor upwards.
Source
Code Definition
CodeErrect/Prostrate
DefinitionMix of species that are both erect and prostrate
Source
Code Definition
CodeProstate
DefinitionStipes and blades in species lie along the seafloor, although can be lifted by current.
Source
Allowed Values and Definitions
Enumerated Domain 
Code Definition
CodeHigh
DefinitionCan be saturated with epibionts
Source
Code Definition
CodeMedium
DefinitionCan have up to 50% cover of epibionts
Source
Code Definition
CodeLow
DefinitionMinimal cover of epibionts on average
Source
Definitiontext
Missing Value Code:              
Accuracy Report:              
Accuracy Assessment:              
Coverage:              
Methods:              

Data Package Usage Rights

This information is released under the Creative Commons license - Attribution - CC BY (https://creativecommons.org/licenses/by/4.0/). The consumer of these data ("Data User" herein) is required to cite it appropriately in any publication that results from its use. The Data User should realize that these data may be actively used by others for ongoing research and that coordination may be necessary to prevent duplicate publication. The Data User is urged to contact the authors of these data if any questions about methodology or results occur. Where appropriate, the Data User is encouraged to consider collaboration or co-authorship with the authors. The Data User should realize that misinterpretation of data may occur if used out of context of the original study. While substantial efforts are made to ensure the accuracy of data and associated documentation, complete accuracy of data sets cannot be guaranteed. All data are made available "as is." The Data User should be aware, however, that data are updated periodically and it is the responsibility of the Data User to check for new versions of the data. The data authors and the repository where these data were obtained shall not be liable for damages resulting from any use or misinterpretation of the data. Thank you.

Keywords

By Thesaurus:
(No thesaurus)nursery habitat, urchin barren, meta-analysis, fish
LTER Controlled Vocabularykelp

Methods and Protocols

These methods, instrumentation and/or protocols apply to all data in this dataset:

Methods and protocols used in the collection of this data package
Description:

We searched multiple electronic bibliographic databases (web of Science, ASFA, Google Scholar), with the following terms: “macroalga(e)” and “fish(es)”, “seaweed(s)”, and “fish(es)”, “kelp” and fish(es), “kelp forests (and beds) and fish(es)”. The last search was conducted on 2 December 2022. We divided the records identified through database searches and records from other sources including references from the studies identified through the database searches. Personal reference collections and colleagues with active research interests in these areas were also included. We recorded the total number of studies for screening (>100 studies). We reviewed studies that manipulated habitat and subsequently sampled fish that were published to the end of 2020. In addition to manipulative experiments, we also reviewed observational studies that measured and compared the natural variability in fish(es) metrics (abundance, species richness, functional diversity) in kelp and non-kelp forests (i.e., urchin barrens, sponge gardens, turf algae, sand).

For articles that met selection criteria, we recorded type of study (experimental or observational), mean species richness, total species abundance, and/or abundances of single species in either treatments (kelp control versus removal) or habitat type (kelp forest versus non-kelp forest), sample size of groups, and variance in order to estimate the effect of kelp on fish. Where possible, we noted the ontogenetic state of fish communities or single species assessed (e.g., young of the year (YoY) or settlement phase, juveniles and/or adults). Individual values from most articles were found in graphs such as scatterplots and bar plots in which case a web plot digitizer was used for translation of plots into numerical values (Rohatgi 2020). Articles that did not provide relevant means, measures of variance, or other values in tables, means plots, boxplots, or scatterplots were not used in this meta-analysis.

Where possible, we recorded information about fish trophic groups and size to assess the variability of the effects of fish on kelp. The functional roles of reef fish species may be described using broad trophic groups or exploring more detailed information on traits. We extracted trait data for individual fish species from FishBase using rFishBase. We used broad trophic groups in order to compare species between studies. We categorized species as planktivores, herbivores, detritivores, omnivores, benthic microcarnivores (that feed mostly on small epifauna), benthic macroinvertivores, and general carnivores (including piscivores). These groupings were available for all taxa, regardless of taxonomic resolution. We also recorded maximum total length and a continuous measure of fish trophic level.

To assess the effects of kelp structural complexity on fish, we grouped kelp according to their numbers of stipes as single (i.e., Ecklonia) or multi-stipe (i.e., Macrocystis pyrifera). Studies spaned a total of 17 different kelp species: 13 Laminarian species (Macrocystis pyrifera, Ecklonia radiata, Saccharina latissima, L. digitata, L. farlowii, Eisenia arborea, Egregia menziesii, Nereocystis luetkeana, Pterygophora californica, Lessonia trabeculata, Undaria pinnatifida) and 4 Fucoid species (Carpophyllum maschalocarpum, C. flexuosum, Cystophora racemosa, C. retroflexa). Some studies (experimental and/or observational) have compared a complex set of kelp species against habitats devoid of kelp forests. When two kelp species with different morphologies were studied, we categorized the study using the species that was more structurally complex.

Papers Included

Allen, G. L., L. S. Bouvier, and R. E. J. Jensen. 1992. Abundance, Diversity, and Seasonality of Cryptic Fishes and their Contribution to a Temperate Reef Fish Assemblage off Santa Catalina Island, California. Bulletin Southern California Academy of Sciences 91:55-69.

Ambrose, R. F., and S. Swarbrick. 1989. Comparison of Fish Assemblages on Artificial and Natural Reefs off the Coast of Southern California. Bulletin of Marine Science 44:718-733.

Anderson, M. J., and R. Millar. 2004. Spatial variation and effects of habitat on temperate reef fish assemblages in northeastern New Zealand. Journal of Experimental Marine Biology and Ecology 305:191-221.

Anderson, T. W. 1994. Role of macroalgal structure in the distribution and abundance of a temperate reef fish. Marine Ecology Progress Series 113:279-290.

Angel, A., and F. P. Ojeda. 2001. Structure and trophic organization of subtidal fish assemblages on the northern Chilean coast: the effect of habitat complexity. Marine Ecology Progress Series 217:81-91.

Bergman, K. C., S. Svensson, and M. C. Öhman. 2001. Influence of Algal Farming on Fish Assemblages. Marine Pollution Bulletin 42:1379-1389.

Black, R., and R. J. Miller. 1991. Use of the intertidal zone by fish in Nova Scotia. Environmental Biology of Fishes 31:109-121.

Bodkin, J. 1986. Fish assemblages in Macrocystis and Nereocystis kelp forests off central California. U.S. National Marine and Fishery Service Fishery Bulletin 84:799-807.

Bodkin, J. L. 1988. Effects of kelp forest removal on associated fish assemblages in central California. Journal of Experimental Marine Biology and Ecology 117:227-238.

Carr, M. H. 1989. Effects of macroalgal assemblages on the recruitment of temperate zone reef fishes. Journal of Experimental Marine Biology and Ecology 126:59-76.

Carr, M. H. 1991. Habitat selection and recruitment of an assemblage of temperate zone reef fishes. Journal of Experimental Marine Biology and Ecology 126:59-76.

Carr, M. H. 1994. Effects of macroalgal dynamics on recruitment of a temperate reef fish. Ecology 75:1320-1333.

Choat, J. H., and A. Ayling. 1987. The relationship between habitat structure and fish faunas on New Zealand reefs. Journal of Experimental Marine Biology and Ecology 110:257-284.

Cole, R. G., T. M. Ayling, and R. Creese. 1990. Effects of marine reserve protection at Goat Island, northern New Zealand. New Zealand Journal of Marine and Freshwater Research 24:197-210.

Cole, R. G., N. K. Davey, G. D. Carbines, and R. Stewart. 2012. Fish−habitat associations in New Zealand: geographical contrasts. Marine Ecology Progress Series 450:131-145.

Craig, M. T., F. J. Fodrie, and P. A. Hastings. 2004. The Nearshore Fish Assemblage of the Scripps Coastal Reserve, San Diego, California. Coastal Management 32:341-351.

Curley, B., M. Kingsford, and B. Gillanders. 2002. Spatial and habitat-related patterns of temperate reef fish assemblages: implications for the design of Marine Protected Areas. Marine and Freshwater Research 53:1197-1210.

Davenport, A., and T. W. Anderson. 2007. Positive indirect effects of reef fishes on kelp performance: the importance of mesograzers. Ecology 88:1548-1561.

Davis, G. E., and T. W. Anderson. 1989. Population Estimates of Four Kelp Forest Fishes and an Evaluation of Three in situ Assessment Techniques. Bulletin of Marine Science 44:1138-1151.

Dean, T., L. Haldorson, D. Laur, S. Jewett, and A. Blanchard. 2000. The distribution of nearshore fishes in kelp and eelgrass communities in Prince William Sound, Alaska: associations with vegetation and physical habitat characteristics. Environmental Biology of Fishes 57:271-287.

DeMartini, E. E., and D. Roberts. 1990. Effects of Giant Kelp (Macrocystis) on the Density and Abundance of Flshes in a Cobble-Bottom Kelp Forest. Bulletin of Marine Science 46:287-300.

DeMartini, E. E., and D. A. Roberts. 1989. Contrasting patterns of fish density and abundance at an artificial rock reef and a cobble-bottom kelp forest. Bulletin of Marine Science 44:881-892.

Deza, A. A., and T. W. Anderson. 2010. Habitat fragmentation, patch size, and the recruitment and abundance of kelp forest fishes. Marine Ecology Progress Series 416:229-240.

Dibble, E., and S. Harrel. 1997. Assessment of Fish-Plant Interactions. Army Engineer Waterways stations Vickburg MS environmental lab.

Ebeling, A., and D. Laur. 1985. The influence of plant cover on surfperch abundance at an offshore temperate reef. Environmental Biology of Fishes 12:169-179.

Ebeling, A. W., D. R. Laur, and R. J. Rowley. 1985. Severe storm disturbances and reversal of community structure in a southern California kelp forest. Marine Biology 84:287-294.

Edgar, G., N. Barrett, A. Morton, and C. Samson. 2004. Effects of algal canopy clearance on plant, fish and macroinvertebrate communities on eastern Tasmanian reefs. Journal of Experimental Marine Biology and Ecology 312:67-87.

Efird, T. P., and B. Konar. 2013. Habitat characteristics can influence fish assemblages in high latitude kelp forests. Environmental Biology of Fishes 97:1253-1263.

Feary, D., and K. D. Clements. 2006. Habitat use by triplefin species (Tripterygiidae) on rocky reefs in New Zealand. Journal of Fish Biology 69:1031-1046.

Froeschke, J. T., L. G. Allen, and D. Pondella. 2006. The Fish Assemblages Inside and Outside of a Temperate Marine Reserve in Southern California. Bulletin, Southern California Academy of Sciences 105:128-142.

Graham, M. 2004. Effects of local deforestation on the diversity and structure of southern California giant kelp forest food webs. Ecosystems 7:341-357.

Granneman, J. E., and M. A. Steele. 2015. Effects of reef attributes on fish assemblage similarity between artificial and natural reefs. ICES Journal of Marine Science 72:2385-2397.

Hamilton, J., and B. Konar. 2007. Implications of substrate complexity and kelp variability for south-central Alaskan nearshore Fish communities. FIshery Bulletin 105:189-196.

Holbrook, S. J., M. Kingsford, R. J. Schmitt, and J. S. Stephens. 1994. Spatial and temporal Patterns in Assemblages of Temperate reef Fish. American Zoologist 34:463-475.

Holbrook, S. J., and R. J. Schmitt. 1984. Experimental analyses of patch selection by foraging black surfperch (Embiotoca jacksoni Agazzi). Journal of Experimental Marine Biology and Ecology 79:39-64.

Holbrook, S. J., R. J. Schmitt, and R. AMBROSE. 1990. Biogenic habitat structure and characteristics of temperate reef fish assemblages. Austral Ecology 15:489-503.

Houk, J. L., and K. McClenegham. 1993. Effects of kelp canopy removal on young-of-the-year rockfish abundance, using two census methods Department of Fish and Game, Marine Resources Division

Ireland, C., and M. Horn. 1991. Effects of macrophyte secondary chemicals on food choice and digestive efficiency of Cebidichthys violaceus (Girard), an herbivorous fish of temperate marine waters. Journal of Experimental Marine Biology and Ecology 153:179-194.

Irigoyen, A. J., C. Eyras, and A. M. Parma. 2011. Alien algae Undaria pinnatifida causes habitat loss for rocky reef fishes in north Patagonia. Biological Invasions 13:17-24.

Johnson, S. W., Murphy, ML, D. J. Csepp, P. M. Harris, and J. Thedinga. 2003. A Survey of Fish Assemblages in Eelgrass and Kelp Habitats of Southeastern Alaska. NOAA Technical Memorandum NMFS-AFSC-139.

Jones, G. P. 1984. Population ecology of the temperate reef fish Pseudolabrus celidotus Bloch & Schneider (Pisces: Labridae). I. Factors influencing recruitment. Journal of Experimental Marine Biology and Ecology 75:257-276.

Jones, G. P. 1992. Interactions between herbivorous fishes and macro-algae on a temperate rocky reef. Journal of Experimental Marine Biology and Ecology 159:217-235.

Keats, D. W., D. H. Steele, and G. R. South. 1987. The role of fleshy macroalgae in the ecology of juvenile cod (Gadus morhua L.) in inshore waters off eastern Newfoundland. Canadian Journal of Zoology 65:49-53.

Kingsford, M. J., D. R. Schiel, and C. N. Battershill. 1989. Distribution and Abundance of Fish in a Rocky Reef Environment at the Subantarctic Auckland Islands, New Zealand. Polar Biology 9:179-1869.

Konar, B., M. Edwards, and T. Efird. 2015. Local habitat and regional oceanographic influence on fish distribution patterns in the diminishing kelp forests across the Aleutian Archipelago. Environmental Biology of Fishes 98:1935-1951.

Krumhansl, K. A., J. N. Bergman, and A. K. Salomon. 2017. Assessing the ecosystem-level consequences of a small-scale artisanal kelp fishery within the context of climate-change. Ecol Appl 27:799-813.

Levin, P. 1993. Habitat structure, conspecific presence and spatial variation in the recruitment of a temperate reef fish. Oecologia 94:176-185.

Levin, P. 1994a. Fine-scale temporal variation in recruitment of a temperate demersal fish: the importance of settlement versus post-settlement loss. Oecologia 97:124-133.

Levin, P. 1994b. Small-scale recruitment variation in a temperate fish: the roles of macrophytes and food supply. Environmental Biology of Fishes 40:271-281.

Levin, P., and M. E. Hay. 1996. Responses of temperate reef fishes to alterations in algal structure and species composition. Marine ecology progress series. Oldendorf 134:37-47.

Levin, P., R. Petrik, and J. Malone. 1997. Interactive effects of habitat selection, food supply and predation on recruitment of an estuarine fish. Oecologia 112:55-63.

Levin, P. S. 1991. Effects of microhabitat on recruitment variation in a Gulf of Maine reef fish. Marine Ecology Progress Series 75:183-189.

Levin, P. S., and M. E. Hay. 2002. Fish-seaweed association on temperate reefs: do small scale experiments predict large-scale patterns. Marine Ecology Progress Series 232:239-246.

Lorentsen, S.-H., K. Sjøtun, and D. Grémillet. 2010. Multi-trophic consequences of kelp harvest. Biological Conservation 143:2054-2062.

McDermott, C. J., and J. S. Shima. 2006. Ontogenetic shifts in microhabitat preference of the temperate reef fish Forsterygion lapillum: implications for population limitation. Marine Ecology Progress Series 320:259-266.

Moran, D., and K. D. Clements. 2002. Diet and endogenous carbohydrases in the temperate marine herbivorous fish Kyphosus sydneyanus. Journal of Fish Biology 60:1190-1203.

Moranta, J., M. Palmer, G. Morey, A. Ruiz, and B. Morales-Nin. 2006. Multi-scale spatial variability in fish assemblages associated with Posidonia oceanica meadows in the Western Mediterranean Sea. Estuarine, Coastal and Shelf Science 68:579-592.

Morton, J., and W. Gladstone. 2011. Spatial, temporal and ontogenetic variation in the association of fishes (family Labridae) with rocky-reef habitats. Marine and Freshwater Research.

Murphy, M., S. Johnson, and D. J. Csepp. 2000. A Comparison of Fish Assemblages in Eelgrass and Adjacent Subtidal Habitats Near Craig, Alaska. Alaska Fishery Research Bulletin 7:11-21.

O'Connor, K. C., and T. W. Anderson. 2010. Consequences of habitat disturbance and recovery to recruitment and the abundance of kelp forest fishes. Journal of Experimental Marine Biology and Ecology 386:1-10.

Paddack, M. J., and J. A. Estes. 2000. Kelp forest fish populations in marine reserves and adjacent exploited areas of central California. Ecological Applications 10:855-870.

Palma, A., and F. P. Ojeda. 2002. Abundance, distribution and feeding patterns of a temperate reef fish in subtidal environments of the Chilean coast: the importance of understory algal turf. Revista Chilena de Historia Natural 75:189-200.

Parsons, D. F., I. M. Suthers, D. Cruz, and J. A. Smith. 2016. Effects of habitat on fish abundance and species composition on temperate rocky reefs. Marine Ecology Progress Series 561:155-171.

Pérez-Matus, A., L. A. Ferry-Graham, A. Cea, and J. A. Vásquez. 2007. Community structure of temperate reef fishes in kelp dominated subtidal habitats of northern Chile. Marine and Freshwater Research 58:1069-1085.

Pérez-Matus, A., and J. S. Shima. 2010. Disentangling the effects of macroalgae on the abundance of temperate reef fishes. Journal of Experimental Marine Biology and Ecology 388:1-10.

Pondella, D. 2002. Fish production of a temperate artificial reef based on the density of embiotocids (Teleostei: Perciformes). ICES Journal of Marine Science 59:S88-S93.

Reed, D. C., S. C. Schroeter, D. Huang, T. Anderson, and R. F. Ambrose. 2006. Quantitative assessment of different artificial reef designs in mitigating losses to kelp forest fishes. Bulletin of Marine Science 78:133-150.

Reisewithz, S. E., J. Estes, and C. A. Simenstad. 2006. Indirect food web interactions: sea otters and kelp forest fishes in the Aleutian archipelago. Oecologia 146:623-631.

Reisewitz, S. E., J. A. Estes, and C. A. Simenstad. 2006. Indirect food web interactions: sea otters and kelp forest fishes in the Aleutian archipelago. Oecologia 146:623-631.

Romanuk, T. N., and C. D. Levings. 2006. Relationships between fish and supralittoral vegetation in nearshore marine habitats. Aquatic Conservation: Marine and Freshwater Ecosystems 16:115-132.

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Shears, N. T., and R. C. Babcock. 2002. Marine reserves demonstrate top-down control of community structure on temperate reefs. Oecologia 132:131-142.

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People and Organizations

Publishers:
Organization:Environmental Data Initiative
Email Address:
info@edirepository.org
Web Address:
https://edirepository.org
Id:https://ror.org/0330j0z60
Creators:
Individual: Alejandro Pérez-Matus
Organization:Pontificia Universidad Católica de Chile: Santiago, Santiago , CL
Position:Associate Professor
Email Address:
aperez@bio.puc.cl
Id:https://orcid.org/0000-0001-9591-6721
Individual: Jarrett Edward Kaplan Byrnes
Organization:University of Massachusetts Boston
Position:Associate Professor
Address:
Department of Biology,
University of Massachusetts Boston; 100 Morissey Blvd.,
Boston, MA 02125 USA
Email Address:
jarrett.byrnes@umb.edu
Web Address:
http://byrneslab.net
Id:https://orcid.org/0000-0002-9791-9472
Contacts:
Individual: Jarrett Edward Kaplan Byrnes
Organization:UMass Boston
Address:
Department of Biology; University of Massachusetts Boston,
100 Morissey Blvd,
Boston, MA 02125 United States
Phone:
4015294104 (voice)
Email Address:
jarrett.byrnes@umb.edu
Id:https://orcid.org/0000-0002-9791-9472

Temporal, Geographic and Taxonomic Coverage

Temporal, Geographic and/or Taxonomic information that applies to all data in this dataset:

Time Period
Begin:
1983
End:
2020
Geographic Region:
Description:Global meta-analysis
Bounding Coordinates:
Northern:  90.0Southern:  -90.0
Western:  -180.0Eastern:  180.0

Project

Parent Project Information:

Title:Data for meta-analysis of the effects of kelp on fish community composition
Personnel:
Individual: Alejandro Pérez-Matus
Organization:Pontificia Universidad Católica de Chile
Email Address:
aperez@bio.puc.cl
Id:https://orcid.org/0000-0001-9591-6721
Role:Lead author
Individual: Fiorenza Micheli
Organization:Stanford University
Email Address:
micheli@stanford.edu
Id:https://orcid.org/0000-0002-6865-1438
Role:Co-author, Data acquisition
Individual: Brenda Konar
Organization:University of Alaska Fairbanks
Email Address:
bhkonar@alaska.edu
Id:https://orcid.org/0000-0002-8998-1612
Role:Co-author, Data acquisition
Individual: Nick Shears
Organization:University of Auckland
Email Address:
n.shears@auckland.ac.nz
Id:https://orcid.org/0000-0002-1551-582X
Role:Co-author, Data acquisition
Individual: Natalie H.N. Low
Organization:California Academy of Science
Email Address:
nlow@calacademy.org
Id:https://orcid.org/0000-0002-0594-2166
Role:Co-author, Data acquisition
Individual: Daniel K. Okamoto
Organization:University of California Berkeley
Email Address:
dkokamoto@berkeley.edu
Id:https://orcid.org/0000-0001-8988-4567
Role:Co-author, Data acquisition
Individual: Thomas Wernberg
Organization:University of Western Australia
Email Address:
thomas.wernberg@uwa.edu.au
Id:https://orcid.org/0000-0003-1185-9745
Role:Co-author, Data acquisition
Individual: Kira Krumhansl
Organization:Fisheries and Oceans Canada
Email Address:
kira.krumhansl@dfo-mpo.gc.ca
Id:https://orcid.org/0000-0001-7377-3360
Role:Co-author, Data acquisition
Individual: Scott Ling
Organization:University of Tasmania
Email Address:
scott.ling@utas.edu.au
Id:https://orcid.org/0000-0002-5544-8174
Role:Co-author, Data acquisition
Individual: Michael Kingsford
Organization:James Cook University
Email Address:
michael.kingsford@jcu.edu.au
Id:https://orcid.org/0000-0003-1704-6198
Role:Co-author, Data acquisition
Individual: Teresa Navarrete-Fernandez
Organization:Pontificia Universidad Católica de Chile
Email Address:
teresanavarretefernandez@gmail.com
Id:https://orcid.org/0000-0001-8792-3462
Role:Co-author, Data acquisition
Individual: Catalina Ruz
Organization:Pontificia Universidad Católica de Chile
Email Address:
sallen.ruz@gmail.com
Role:Co-author, Data acquisition
Individual: Jarrett Edward Kaplan Byrnes
Organization:UMass Boston
Address:
Department of Biology,
100 Morissey Blvd,
Boston, MA 02125 United States
Phone:
4015294104 (voice)
Email Address:
jarrett.byrnes@umb.edu
Id:https://orcid.org/0000-0002-9791-9472
Role:Data depositor/maintainer
Other Metadata

Additional Metadata

additionalMetadata
        |___text '\n      '
        |___element 'metadata'
        |     |___text '\n         '
        |     |___element 'unitList'
        |     |     |___text '\n            '
        |     |     |___element 'unit'
        |     |     |     |  \___attribute 'id' = 'row number'
        |     |     |     |  \___attribute 'name' = 'row number'
        |     |     |     |___text '\n               '
        |     |     |     |___element 'description'
        |     |     |     |     |___text 'Row number of file'
        |     |     |     |___text '\n            '
        |     |     |___text '\n            '
        |     |     |___element 'unit'
        |     |     |     |  \___attribute 'id' = 'Study ID number'
        |     |     |     |  \___attribute 'name' = 'Study ID number'
        |     |     |     |___text '\n               '
        |     |     |     |___element 'description'
        |     |     |     |     |___text 'Number matching the study ID in the "Fish-Kelp Signup" sheet by data entry participants.'
        |     |     |     |___text '\n            '
        |     |     |___text '\n            '
        |     |     |___element 'unit'
        |     |     |     |  \___attribute 'id' = 'Abundance metric or number of species.'
        |     |     |     |  \___attribute 'name' = 'Abundance metric or number of species.'
        |     |     |     |___text '\n               '
        |     |     |     |___element 'description'
        |     |     |     |___text '\n            '
        |     |     |___text '\n            '
        |     |     |___element 'unit'
        |     |     |     |  \___attribute 'id' = 'Varies. Described in Error Type.'
        |     |     |     |  \___attribute 'name' = 'Varies. Described in Error Type.'
        |     |     |     |___text '\n               '
        |     |     |     |___element 'description'
        |     |     |     |___text '\n            '
        |     |     |___text '\n            '
        |     |     |___element 'unit'
        |     |     |     |  \___attribute 'id' = 'Number of replicates'
        |     |     |     |  \___attribute 'name' = 'Number of replicates'
        |     |     |     |___text '\n               '
        |     |     |     |___element 'description'
        |     |     |     |___text '\n            '
        |     |     |___text '\n            '
        |     |     |___element 'unit'
        |     |     |     |  \___attribute 'id' = 'days'
        |     |     |     |  \___attribute 'name' = 'days'
        |     |     |     |___text '\n               '
        |     |     |     |___element 'description'
        |     |     |     |___text '\n            '
        |     |     |___text '\n            '
        |     |     |___element 'unit'
        |     |     |     |  \___attribute 'id' = 'Abundance or richness'
        |     |     |     |  \___attribute 'name' = 'Abundance or richness'
        |     |     |     |___text '\n               '
        |     |     |     |___element 'description'
        |     |     |     |___text '\n            '
        |     |     |___text '\n            '
        |     |     |___element 'unit'
        |     |     |     |  \___attribute 'id' = 'Trophic Level'
        |     |     |     |  \___attribute 'name' = 'Trophic Level'
        |     |     |     |___text '\n               '
        |     |     |     |___element 'description'
        |     |     |     |___text '\n            '
        |     |     |___text '\n            '
        |     |     |___element 'unit'
        |     |     |     |  \___attribute 'id' = 'Log ratio'
        |     |     |     |  \___attribute 'name' = 'Log ratio'
        |     |     |     |___text '\n               '
        |     |     |     |___element 'description'
        |     |     |     |     |___text 'Meta-analytic effect size measure'
        |     |     |     |___text '\n            '
        |     |     |___text '\n            '
        |     |     |___element 'unit'
        |     |     |     |  \___attribute 'id' = 'Variance of Log Ratio'
        |     |     |     |  \___attribute 'name' = 'Variance of Log Ratio'
        |     |     |     |___text '\n               '
        |     |     |     |___element 'description'
        |     |     |     |     |___text 'Meta-analytic effect size measure'
        |     |     |     |___text '\n            '
        |     |     |___text '\n            '
        |     |     |___element 'unit'
        |     |     |     |  \___attribute 'id' = 'Hedge\'s G'
        |     |     |     |  \___attribute 'name' = 'Hedge\'s G'
        |     |     |     |___text '\n               '
        |     |     |     |___element 'description'
        |     |     |     |     |___text 'Meta-analytic effect size measure'
        |     |     |     |___text '\n            '
        |     |     |___text '\n            '
        |     |     |___element 'unit'
        |     |     |     |  \___attribute 'id' = 'Variance in Hedge\'s G'
        |     |     |     |  \___attribute 'name' = 'Variance in Hedge\'s G'
        |     |     |     |___text '\n               '
        |     |     |     |___element 'description'
        |     |     |     |     |___text 'Meta-analytic effect size measure'
        |     |     |     |___text '\n            '
        |     |     |___text '\n            '
        |     |     |___element 'unit'
        |     |     |     |  \___attribute 'id' = 'Number of measurements'
        |     |     |     |  \___attribute 'name' = 'Number of measurements'
        |     |     |     |___text '\n               '
        |     |     |     |___element 'description'
        |     |     |     |___text '\n            '
        |     |     |___text '\n            '
        |     |     |___element 'unit'
        |     |     |     |  \___attribute 'id' = 'Standard deviation of abundance or richness'
        |     |     |     |  \___attribute 'name' = 'Standard deviation of abundance or richness'
        |     |     |     |___text '\n               '
        |     |     |     |___element 'description'
        |     |     |     |___text '\n            '
        |     |     |___text '\n         '
        |     |___text '\n      '
        |___text '\n   '

Additional Metadata

additionalMetadata
        |___text '\n      '
        |___element 'metadata'
        |     |___text '\n         '
        |     |___element 'emlEditor'
        |     |        \___attribute 'app' = 'ezEML'
        |     |        \___attribute 'release' = '2024.05.22'
        |     |___text '\n      '
        |___text '\n   '

EDI is a collaboration between the University of New Mexico and the University of Wisconsin – Madison, Center for Limnology:

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