Metadata: Identification_Information: Citation: Citation_Information: Originator: Lisa M. Krigsman Originator: Mary M. Yoklavich Originator: Guy R. Cochrane Originator: Nadine E. Golden Publication_Date: 2013 Title: Hydroids--Santa Barbara Channel, California Edition: Version 1.0, 2012 Geospatial_Data_Presentation_Form: GeoTIFF Larger_Work_Citation: Citation_Information: Originator: Lisa M. Krigsman Originator: Mary M. Yoklavich Originator: Guy R. Cochrane Originator: Nadine E. Golden Publication_Date: 2013 Title: California State Waters Map Series Data Catalog Geospatial_Data_Presentation_Form: database Series_Information: Series_Name: Data Series Issue_Identification: DS 781 Publication_Information: Publication_Place: Reston, VA Publisher: U.S. Geological Survey Online_Linkage: http://pubs.usgs.gov/ds/781/ Larger_Work_Citation: Citation_Information: Originator: Samuel Y. Johnson Originator: Peter Dartnell Originator: Guy R. Cochrane Originator: Nadine E. Golden Originator: Eleyne L. Phillips Originator: Andrew C. Ritchie Originator: Rikk G. Kvitek Originator: H. Gary Greene Originator: Lisa M. Krigsman Originator: Charles A. Endris Originator: Kevin B. Clahan Originator: Ray W. Sliter Originator: Florence L. Wong Originator: Mary M. Yoklavich Originator: William R. Normark Publication_Date: 2013 Title: California State Waters Map Series--Hueneme Canyon and vicinity, California Geospatial_Data_Presentation_Form: map Series_Information: Series_Name: Scientific Investigations Map Issue_Identification: SIM 3225 Publication_Information: Publication_Place: Reston, VA Publisher: U.S. Geological Survey Online_Linkage: http://pubs.usgs.gov/sim/3225/ Description: Abstract: This part of DS 781 presents data for the map showing the predicted distribution of hydroids in the Santa Barbara Channel, California, region. The raster data file is included in "Hydroids_SantaBarbaraChannel.zip," which is accessible from http://pubs.usgs.gov/ds/781/SantaBarbaraChannel/data_catalog_SantaBarbaraChannel.html. This map showing the predicted distribution of hydroids in the Santa Barbara Channel is published in Scientific Investigations Map 3225, "California State Waters Map Series--Hueneme Canyon and Vicinity, California" (see sheet 12). In addition, this predicted distribution map will be published in four future California State Waters Map Series SIMs of the region (namely, the Offshore of Ventura, Offshore of Santa Barbara, Offshore of Coal Oil Point, and Offshore of Refugio Beach map areas) [note that, at the time of this writing, one of the other four SIMs has been published: the Offshore of Ventura map area (SIM 3254)]. Presence-absence data of benthic macro-invertebrates and associated habitat (that is, sediment type and depth) were collected using a towed camera sled in selected areas along the coast off southern California during a ground-truth observation cruise conducted by the U.S. Geological Survey and NOAA National Marine Fisheries Service for the California Seafloor Mapping Program. Benthic community structure was determined from 35 video towed-camera transects within California's State Waters 3-nautical-mile limit in the Santa Barbara Channel. These transects produced a total of 923 10-second observations from the Offshore of Refugio Beach map area (34.5 degrees N., 120.1 degrees W.) to the Hueneme Canyon and vicinity map area (34.1 degrees N., 119.2 degrees W.). Presence-absence data were collected for 29 benthic, structure-forming nonmobile taxa. Using this information, generalized linear models (GLMs) were developed to predict the probability of occurrence of five commonly observed taxa (cup corals, hydroids, short and tall sea pens, and brittle stars in the sediment) in five map areas within the Santa Barbara Channel (SBC). A sixth map area (Offshore of Carpinteria) was not modeled owing to insufficient data. The analysis demonstrates that the community structure for the five map areas can be divided into three statistically distinct groups: (1) the Hueneme Canyon and vicinity and the Offshore of Ventura map areas; (2) the Offshore of Santa Barbara and the Offshore of Coal Oil Point map areas; and (3) the Offshore of Refugio Beach map area. These three distinct groups are the main reason that the probability for each taxa can be so dramatically different within one predictive-distribution map area. The five most frequently observed benthic macro-invertebrate taxa were selected for the these predictive-distribution grids. Presence-absence data for each selected invertebrate were fit to specific generalized linear models using geographic location, depth, and seafloor character as covariates. Data for the covariates were informed by the data presented in sheet 2 (shaded-relief bathymetry), sheet 5 (seafloor-character map), and sheet 6 (ground-truth studies) of the five SIM publications of the Santa Barbara Channel region that are part of the California State Waters Map Series. Observations based on depth were limited by the capability of the towed camera sled; as a result, no predictions were made below depths of 150 m (in other words, on the continental slope or in Hueneme Canyon). Cup corals and hydroids had high predicted probabilities of occurrence in areas of hard substrata, whereas short and tall sea pens were predicted to occur in parts of the SBC that had unconsolidated and mixed sediment. Our model predicted that brittle stars would occur throughout the entire SBC on various bottom types. Purpose: These data are intended for science researchers, students, policy makers, and the general public. The data can be used with geographic information systems (GIS) software to display oceanographic information. Supplemental_Information: Any use of trade, product, or firm names is for descriptive purposes only and does not imply endorsement by the U.S. Government. Although this Federal Geographic Data Committee-compliant metadata file is intended to document the data set in nonproprietary form, as well as in ArcInfo format, this metadata file may include some ArcInfo-specific terminology. Time_Period_of_Content: Time_Period_Information: Range_of_Dates/Times: Beginning_Date: 2005 Ending_Date: 2009 Currentness_Reference: ground condition Status: Progress: Complete Maintenance_and_Update_Frequency: As needed Spatial_Domain: Bounding_Coordinates: West_Bounding_Coordinate: -119.643628 East_Bounding_Coordinate: -119.471725 North_Bounding_Coordinate: 34.390598 South_Bounding_Coordinate: 34.320467 Keywords: Place: Place_Keyword_Thesaurus: Geographic Names Information System (GNIS) Place_Keyword: Pacific Ocean Place_Keyword: California Place_Keyword: Santa Barbara Channel Place_Keyword: Hueneme Canyon Place_Keyword: Ventura Place_Keyword: Santa Barbara Place_Keyword: Coal Oil Point Place_Keyword: Refugio Beach Theme: Theme_Keyword_Thesaurus: Global Change Master Directory (GCMD) Theme_Keyword: Earth Science > Biosphere > Aquatic Ecosystems > Marine Habitat Theme: Theme_Keyword_Thesaurus: ISO 19115 Topic Category Theme_Keyword: biota Theme_Keyword: oceans Theme: Theme_Keyword_Thesaurus: General Theme_Keyword: biological prediction Theme_Keyword: fisheries Theme_Keyword: ecosystem Theme_Keyword: U.S. Geological Survey Theme_Keyword: USGS Theme_Keyword: Coastal and Marine Geology Program Theme_Keyword: CMGP Access_Constraints: None Use_Constraints: This information is not intended for navigational purposes. Read and fully comprehend the metadata prior to data use. Uses of these data should not violate the spatial resolution of the data. Where these data are used in combination with other data of different resolution, the resolution of the combined output will be limited by the lowest resolution of all the data. Acknowledge the U.S. Geological Survey in products derived from these data. Share data products developed using these data with the U.S. Geological Survey. This database has been approved for release and publication by the Director of the USGS. Although this database has been subjected to rigorous review and is substantially complete, the USGS reserves the right to revise the data pursuant to further analysis and review. Furthermore, it is released on condition that neither the USGS nor the United States Government may be held liable for any damages resulting from its authorized or unauthorized use. Although this Federal Geographic Data Committee-compliant metadata file is intended to document these data in nonproprietary form, as well as in ArcInfo format, this metadata file may include some ArcInfo-specific terminology. Point_of_Contact: Contact_Information: Contact_Person_Primary: Contact_Person: Lisa M. Krigsman Contact_Organization: NOAA National Marine Fisheries Service, Southwest Fisheries Science Center Contact_Position: Biologist Contact_Address: Address_Type: mailing and physical address Address: NOAA National Marine Fisheries Service, Southwest Fisheries Science Center City: Santa Cruz State_or_Province: CA Postal_Code: 95060 Country: USA Contact_Voice_Telephone: (831) 420-3971 Contact_Facsimile_Telephone: (831) 420-3977 Contact_Electronic_Mail_Address: lisa.krigsman@noaa.gov Data_Set_Credit: The authors would like to thank E.J. Dick (Fisheries Ecology Division, Southwest Fisheries Science Center, Santa Cruz, CA). He was a critical partner in the development of the predictive models used in this study. Native_Data_Set_Environment: Microsoft Windows XP Version 5.1 (Build 2600) Service Pack 3 ESRI ArcCatalog 9.3.1.3500 Data_Quality_Information: Attribute_Accuracy: Attribute_Accuracy_Report: Pixel resolution 2 m. Logical_Consistency_Report: Logical Consistency untested. Completeness_Report: Please see SIM pamphlet, chapter 5, for information about omissions, selection criteria, generalization, definitions used, and other rules used to derive the data set. Positional_Accuracy: Horizontal_Positional_Accuracy: Horizontal_Positional_Accuracy_Report: On the order of 10 meters. Lineage: Process_Step: Process_Description: The seafloor-character map, GLMs, and the Marine Geospatial Ecology Tool (MGET; http://mgel.env.duke.edu) in ArcGIS were used to develop predictive-probability maps of occurrence per 12 sq m of seafloor for selected invertebrate taxa. The 12 sq m area was calculated by multiplying the average width of the video images by the average distance covered during the 10-second samples. The seafloor-character map provided the habitat class data. > > Hydroids > taxa~Depth+I(Depth^2)+ Class+Block+Depth:Block # Depth+ Depth^2+Class+Block+Depth:Block tryCatch(taxa33.glm <- glm(taxa~Depth+I(Depth^2)+ > Class+Block+Depth:Block, family=binomial(link="logit"), data=taxa.df), > warning = function(x) { output.df[33,"flag"] <<- 1 }, > finally = taxa33.glm <- glm(taxa~Depth+I(Depth^2)+ > Class+Block+Depth:Block, family=binomial(link="logit"), data=taxa.df) > ) > summary(taxa33.glm) > > MODEL SUMMARY: > ============== > > Call: > glm(formula = hydroid ~ Depth + I(Depth^2) + factor(Class) + factor(Block) + Depth:factor(Block), family = binomial(link="logit"), data = na.omit(d)) > > Deviance Residuals: > Min 1Q Median 3Q Max > -2.3139 -0.5898 -0.3904 -0.0679 3.0037 > > Coefficients: > Estimate Std. Error z value Pr(>|z|) > (Intercept) -8.4997924 1.5209153 -5.589 2.29e-08 *** > Depth 0.1327309 0.0282624 4.696 2.65e-06 *** > I(Depth^2) -0.0005203 0.0001674 -3.108 0.00188 ** > factor(Class)2 3.1719054 0.2897839 10.946 < 2e-16 *** > factor(Class)3 3.8009031 0.5451951 6.972 3.13e-12 *** > factor(Block)2 1.5962789 1.4989529 1.065 0.28691 > factor(Block)3 5.7171958 1.4296933 3.999 6.36e-05 *** > Depth:factor(Block)2 -0.0310252 0.0195242 -1.589 0.11205 > Depth:factor(Block)3 -0.0515432 0.0197311 -2.612 0.00899 ** > --- > Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 > > (Dispersion parameter for binomial family taken to be 1) > > Null deviance: 1016.09 on 922 degrees of freedom > Residual deviance: 632.84 on 914 degrees of freedom > AIC: 650.84 > > Number of Fisher Scoring iterations: 6 > > Analysis of Deviance Table > > Model: binomial, link: logit > > Response: hydroid > > Terms added sequentially (first to last) > > > Df Deviance Resid. Df Resid. Dev > NULL 922 1016.09 > Depth 1 57.68 921 958.41 > I(Depth^2) 1 1.50 920 956.92 > factor(Class) 2 223.61 918 733.31 > factor(Block) 2 91.52 916 641.78 > Depth:factor(Block) 2 8.95 914 632.84 >resampled to 10 meters. Krigsman, L.M., M.M. Yoklavich, E.J. Dick, and G.R. Cochrane (2012) Models and maps: predicting the distribution of corals and other benthic macro-invertebrates in shelf habitats. Ecosphere 3:1-16. Process_Date: 2010 Spatial_Data_Organization_Information: Direct_Spatial_Reference_Method: Raster Raster_Object_Information: Raster_Object_Type: Pixel Row_Count: 23905 Column_Count: 47950 Vertical_Count: 1 Spatial_Reference_Information: Horizontal_Coordinate_System_Definition: Planar: Map_Projection: Map_Projection_Name: WGS 1984 UTM Zone 11N Transverse_Mercator: Scale_Factor_at_Central_Meridian: 0.9996 Longitude_of_Central_Meridian: -117.0 Latitude_of_Projection_Origin: 0.0 False_Easting: 500000.0 False_Northing: 0.0 Planar_Coordinate_Information: Planar_Coordinate_Encoding_Method: coordinate pair Coordinate_Representation: Abscissa_Resolution: 0.000000002220024164500956 Ordinate_Resolution: 0.000000002220024164500956 Planar_Distance_Units: Meter Geodetic_Model: Horizontal_Datum_Name: D WGS 1984 Ellipsoid_Name: WGS 1984 Semi-major_Axis: 6378137.0 Denominator_of_Flattening_Ratio: 298.257223563 Entity_and_Attribute_Information: Detailed_Description: Entity_Type: Entity_Type_Label: hydroids Entity_Type_Definition: The raster attributes include VALUE - code for the Predicted-Distribution of Hydroids for Santa Barbara Channel Region and COUNT - number of pixels. Entity_Type_Definition_Source: ESRI Attribute: Attribute_Label: Rowid Attribute_Definition: Internal feature number. Attribute_Definition_Source: ESRI Attribute_Domain_Values: Unrepresentable_Domain: Sequential unique whole numbers that are automatically generated. Attribute: Attribute_Label: VALUE Attribute_Definition: VALUE - code for the Predicted-Distribution of Hydroids for Santa Barbara Channel Region Attribute_Definition_Source: USGS Attribute_Domain_Values: Range_Domain: Range_Domain_Minimum: 2.22045e-016 Range_Domain_Maximum: .705603 Attribute: Attribute_Label: COUNT Attribute_Definition: The number of pixels (2 m x 2 m size grid cell) represented in each probability raster (see Attribute: VALUE). Attribute_Definition_Source: ESRI Attribute_Domain_Values: Unrepresentable_Domain: Sequential unique whole numbers that are automatically generated. Metadata_Reference_Information: Metadata_Date: 2013 Metadata_Contact: Contact_Information: Contact_Organization_Primary: Contact_Organization: NOAA National Marine Fisheries Service, Southwest Fisheries Science Center Contact_Person: Lisa M. Krigsman Contact_Position: Biologist Contact_Address: Address_Type: mailing and physical address Address: NOAA National Marine Fisheries Service, Southwest Fisheries Science Center City: Santa Cruz State_or_Province: CA Postal_Code: 95060 Country: USA Contact_Voice_Telephone: (831) 420-3971 Contact_Facsimile_Telephone: (831) 420-3977 Contact_Electronic_Mail_Address: lisa.krigsman@noaa.gov Metadata_Standard_Name: FGDC Content Standards for Digital Geospatial Metadata Metadata_Standard_Version: FGDC-STD-001-1998