Forty Five zooplankton GIS layers (Calanus hyperboreus,Metridia longa,M. pacifica,Thysanoessa raschii) for predicted presence/random, depth and life stage distribution in the circumpolar Arctic Ocean

Metadata also available as

Metadata:


Identification_Information:
Citation:
Citation_Information:
Originator: Schmid M, and F. Huettmann
Publication_Date: 20120501
Title:
Forty Five zooplankton GIS layers (Calanus hyperboreus,Metridia longa,M. pacifica,Thysanoessa raschii) for predicted presence/random, depth and life stage distribution in the circumpolar Arctic Ocean
Edition: 1
Geospatial_Data_Presentation_Form: database
Series_Information:
Series_Name: 1
Issue_Identification: 1
Publication_Information:
Publication_Place: University of Alaska-Fairbanks (UAF), USA
Publisher: M. Schmid and F. Huettmann
Other_Citation_Details:
These data are part of a M.Sc. thesis by the first author M. Schmid with the MINC program Uni Goettingen (Germany) and Lincoln (New Zealand) carried out with the EWHALE lab, Inst. of Arctic Biology, Biology & Wildlife Dept, University of Alaska-Fairbanks (UAF)
Online_Linkage: NA
Description:
Abstract:
This dataset represents a unique compiled and model-predicted environmental data set for the circumpolar Arctic Ocean region 45N to 90N region. It consists of 45 datasets (based on oberserved data from www.iobis.org) for the zooplankton species Calanus hyperboreus (AphiaID104467), Metridia longa (AphiaID 104632), M. pacifica (AphiaID 196784) and Thysanoessa raschii (AphiaID 110711). Different scenarios were model-predicted. A best-pooled scenario for Calanus hyperboreus, Metridia longa, M. pacifica and Thysanoessa raschii where presence/random absence, predicted relative index of depth and predicted life stage distribution were model-predicted based on an unique data set of 107 variables including predicted ocean layers (Mixed layer depth, Middle of halocline, Isotherm). The collection of environmental predictors is also available as metadata from the University of Alaska Fairbanks, if interested contact author. Future predictions for Calanus hyperboreus, Metridia longa and M. pacifica based on future data from the CanESM2 and for a low emission (rcp26) and a high emission (rcp85) scenario including and excluding the predicted ocean layers. Models were predicted for 2010 and 2100. Layers are derived within ArcGIS and have pixel sizes between 1215.819573 meters and 25257.72929 meters for the best pooled model, and between 224881.2644 and 672240.4095 meters for future climate data. Date layers are in North Pole Stereographic projection in meters (WGS84 as the geographic datum). This dataset is used for a M.Sc. thesis by the author, and freely available upon request. For questions and details we suggest contacting the authors.
Purpose:
This set of environmental marine base layers for the Arctic region is part of a M.Sc. thesis by the first author; it provides value-added summary information in ArcGIS format on zooplankton and models that may be useful for purposes such as general modelling, regionalization, exploratory analyses and conservation management.
Supplemental_Information:
Please see work by Imme Rutzen, Grant Humphries and the authors on open access publicly available online data sets, and references within. Details are available from the authors.

Rutzen I (2008) Predictive GIS-modeling of arctic mesozooplankton based on available public online data: Experiences from four copepod species (Calanus glacialis, C. hyperboreus, Metridia longa and M. pacifica). Diploma thesis, University of Hannover, Germany

Humphries GRW (2008) The Ecological Niche of Storm-Petrels in the North Pacific and a Global Model of Dimethylsulfide Concentration, Dissertation, University of Alaska Fairbanks

Huettmann F, Yu Artukhin, O. Gilg, and G. Humphries (2011). Predictions of 27 Arctic pelagic seabird distributions using public environmental variables, assessed with colony data: a first digital IPY and GBIF open access synthesis platform. Marine Biodiversity 41: 141-179 DOI 10.1007/s12526-011-0083-2

Time_Period_of_Content:
Time_Period_Information:
Range_of_Dates/Times:
Beginning_Date: 195001
Ending_Date: 210012
Currentness_Reference: publication date
Status:
Progress: Complete
Maintenance_and_Update_Frequency: None planned
Spatial_Domain:
Description_of_Geographic_Extent:
Circumpolar region of the Arctic ocean region (45 degrees north to 90 degrees north). Note: the traditional boundary box does not capture these extents well, and due to the Arctic projection and date line crossing.
Bounding_Coordinates:
West_Bounding_Coordinate: -180.00000
East_Bounding_Coordinate: 180.00000
North_Bounding_Coordinate: 90.00000
South_Bounding_Coordinate: 45.00000
Keywords:
Theme:
Theme_Keyword_Thesaurus: None
Theme_Keyword: Arctic
Theme_Keyword: Polar region
Theme_Keyword: Calanus hyperboreus (AphiaID104467)
Theme_Keyword: Metridia longa (AphiaID 104632)
Theme_Keyword: Metridia pacifica (AphiaID 196784)
Theme_Keyword: Thysanoessa raschii (AphiaID 110711)
Theme_Keyword: GIS base layers
Theme_Keyword: GIS predictors
Theme_Keyword: ArcGIS
Theme_Keyword: Geographic Information Systems (GIS)
Theme_Keyword: grids
Theme_Keyword: North Pole
Place:
Place_Keyword_Thesaurus: None
Place_Keyword: Arctic
Place_Keyword: Polar region
Place_Keyword: North Pole
Place_Keyword: Bering Sea
Place_Keyword: Barents Sea
Place_Keyword: Kara Sea
Place_Keyword: Arctic Shelf
Place_Keyword: Arctic Deep Sea
Taxonomy:
Keywords/Taxon:
Taxonomic_Keyword_Thesaurus: None
Taxonomic_Keywords: collection
Taxonomic_Keywords: single species
Taxonomic_Keywords: zooplankton
Taxonomic_Keywords: Calanus hyperboreus (AphiaID104467)
Taxonomic_Keywords: Metridia longa (AphiaID 104632)
Taxonomic_Keywords: Metridia pacifica (AphiaID 196784)
Taxonomic_Keywords: Thysanoessa raschii (AphiaID 110711).
Taxonomic_System:
Classification_System/Authority:
Classification_System_Citation:
Citation_Information:
Originator: Unknown
Publication_Date: Unknown
Title:
Geospatial_Data_Presentation_Form:
Classification_System_Modifications: For zooplankton: ITIS, OBIS, WORMS
Identification_Reference:
Citation_Information:
Originator: For zooplankton: Online plankton species databases
Publication_Date: Unknown
Title:
Geospatial_Data_Presentation_Form: database
Identifier:
Contact_Information:
Contact_Person_Primary:
Contact_Person: For zooplankton, see OBIS and plankton data sources
Contact_Address:
Address_Type:
City:
State_or_Province:
Postal_Code:
Contact_Voice_Telephone:
Taxonomic_Procedures: see with plankton databases
Taxonomic_Classification:
Taxon_Rank_Name: Superdomain
Taxon_Rank_Value: Biota
Taxonomic_Classification:
Taxon_Rank_Name: Kingdom
Taxon_Rank_Value: Animalia
Taxonomic_Classification:
Taxon_Rank_Name: Phylum
Taxon_Rank_Value: Arthropoda
Taxonomic_Classification:
Taxon_Rank_Name: Class
Taxon_Rank_Value: Malacostraca
Taxonomic_Classification:
Taxon_Rank_Name: Order
Taxon_Rank_Value: Euphausiacea
Taxonomic_Classification:
Taxon_Rank_Name: Family
Taxon_Rank_Value: Euphausiidae
Taxonomic_Classification:
Taxon_Rank_Name: Genus
Taxon_Rank_Value: Thysanoessa
Taxonomic_Classification:
Taxon_Rank_Name: Species
Taxon_Rank_Value: Thysanoessa raschii
Taxonomic_Classification:
Taxon_Rank_Name: Class
Taxon_Rank_Value: Maxillopoda
Taxonomic_Classification:
Taxon_Rank_Name: Order
Taxon_Rank_Value: Calanoida
Taxonomic_Classification:
Taxon_Rank_Name: Family
Taxon_Rank_Value: Calanidae
Taxonomic_Classification:
Taxon_Rank_Name: Genus
Taxon_Rank_Value: Calanus
Taxonomic_Classification:
Taxon_Rank_Name: Species
Taxon_Rank_Value: Calanus hyperboreus
Taxonomic_Classification:
Taxon_Rank_Name: Family
Taxon_Rank_Value: Metridinidae
Taxonomic_Classification:
Taxon_Rank_Name: Genus
Taxon_Rank_Value: Metridia
Taxonomic_Classification:
Taxon_Rank_Name: Species
Taxon_Rank_Value: Metridia longa
Taxonomic_Classification:
Taxon_Rank_Name: Species
Taxon_Rank_Value: Metridia pacifica
Access_Constraints:
none; but it is always suggested to contact authors for best use.
Use_Constraints:
none; these maps are not to be used for navigational and other purposes. Always suggested to contact authors.
Point_of_Contact:
Contact_Information:
Contact_Person_Primary:
Contact_Person: Moritz Schmid and Falk Huettmann
Contact_Organization: EWHALE lab
Contact_Position: M.Sc.
Contact_Address:
Address_Type: mailing and physical
Address: 419 Irving I
City: Fairbanks
State_or_Province: Alaska
Postal_Code: 99775
Country: Alaska
Contact_Voice_Telephone: +1 907 474 7882
Contact_Electronic_Mail_Address: xxx
Hours_of_Service: Usual business hours
Contact_Instructions: Contact by phone, email or regular mail
Browse_Graphic:
Browse_Graphic_File_Name: JPG
Browse_Graphic_File_Description: Screen shot of the ArcGIS map layers available upon request
Browse_Graphic_File_Type: JPEG
Data_Set_Credit:
This dataset is compiled by M. Schmid, thesis supervisor F.Huettmann. This dataset is a value-added ArcGIS product nd is based on many data archives and data authors, e.g. OBIS and thesis data (Imme Rutzen, Grant Humphries and others). They are all thanked.
Security_Information:
Security_Classification_System: none
Security_Classification: Unclassified
Security_Handling_Description: none
Native_Data_Set_Environment: Windows PC IBM
Cross_Reference:
Citation_Information:
Originator:
Data are based on existing models or data sets. Refer to the relevant primary publication for further information
Publication_Date: Unknown
Title:
Geospatial_Data_Presentation_Form: database
Analytical_Tool:
Analytical_Tool_Description: ArcGIS 10, Windows 32bit. IBM PC
Tool_Access_Information:
Online_Linkage:
See <http://www.nodc.noaa.gov/OC5/WOA09/pr_woa09.html> for World Ocean Atlas WOA, <http://www.ngdc.noaa.gov/mgg/bathymetry/arctic/> for IPCAO Bathymetry, www.ipcc.ch for IPCC, and www.iobis.org for plankton layers
Tool_Access_Instructions: See at websites or contact authors
Tool_Computer_and_Operating_System: PC IBM

Data_Quality_Information:
Attribute_Accuracy:
Attribute_Accuracy_Report:
Data are based on existing models or data sets. Refer to the relevant primary publication for accuracy information.
Logical_Consistency_Report:
For each subset and scheme, data are complete and produced with identical methods. Please note the compiled presence only data, and then the model-predicted ones. The projections mighty affect pixel sizes differently for each layer of the North Pole, and due to the location. Also, data products do NOT all carry the same pixel sizes. For accuracy we also would like to refer to the initial and underlying data products and their authors and metadata (if exist and/or provided).
Completeness_Report: Data are complete for the use of the M.Sc. by the author.
Positional_Accuracy:
Horizontal_Positional_Accuracy:
Horizontal_Positional_Accuracy_Report: As provided by the data input layers and models.
Vertical_Positional_Accuracy:
Vertical_Positional_Accuracy_Report: As provided by the GIS and predictions.
Lineage:
Methodology:
Methodology_Type: Lab
Methodology_Description:
These data layers got compiled and processed in the EWHALE lab by Moritz Schmid. Most layers are based on data archives, some are based on the works by Imme Rutzen and by Grant Humphries for their M.Sc. thesis.

All works is based on ArcGIS 10.0 as the operational platform.

Exact details of these layers are described in the PROCESS STEPS.

Source_Information:
Source_Citation:
Citation_Information:
Originator:
See also Conservation of Arctic Flora and Fauna (CAFF): www.caf.is
Publication_Date: Unknown
Title:
Geospatial_Data_Presentation_Form:
Type_of_Source_Media:
Source_Time_Period_of_Content:
Time_Period_Information:
Range_of_Dates/Times:
Beginning_Date: Unknown
Ending_Date: Unknown
Source_Currentness_Reference: publication date
Source_Citation_Abbreviation:
Source_Contribution:
See for sources and data archives used: <http://www.nodc.noaa.gov/OC5/WOA09/pr_woa09.html> for World Ocean Atlas WOA, <http://www.ngdc.noaa.gov/mgg/bathymetry/arctic/> for IPCAO Bathymetry, www.ipcc.ch for IPCC, and www.iobis.org for plankton layers
Process_Step:
Process_Description:
Please contact Moritz Schmid for the thesis and detailed explanations.

Short version: We model predicted here for the first time ocean layers in the Arctic Ocean based on a unique dataset of physical oceanography. Moreover, we developed presence/random absence models that indicate where the studied zooplankton species are most likely to be present in the Arctic Ocean. Apart from that, we develop the first spatially explicit models known to science that describe the depth in which the studied zooplankton species are most likely to be at, as well as their distribution of life stages. We do not only do this for one present day scenario. We modeled five different scenarios and for future climate data.

First, we model-predicted ocean layers using the most up to date data from various open access sources, referred here as best-pooled model data. We decided to model this set of stratification layers after discussions and input of expert knowledge by Professor Igor Polyakov from the International Arctic Research Center at the University of Alaska Fairbanks. We predicted those stratification layers because those are the boundaries and layers that the plankton has to cross for diel vertical migration and a change in those would most likely affect the migration. I assigned 4 variables to the stratification layers. H1, H2, H3 and Wx. H1 is the lower boundary of the mixed layer depth. Above this layer a lot of atmospheric disturbance is causing mixing of the water, giving the mixed layer its name. H2, the middle of the halocline is important because in this part of the ocean a strong gradient in salinity and temperature separates water layers. H3, the isotherm is important, because beneath it flows denser and colder Atlantic water. Wx summarizes the overall width of the described water column.

Ocean layers were predicted using machine learning algorithms (TreeNet, Salford Systems). Second, ocean layers were included as predictors and used to predict the presence/random absence, most likely depth and life stage layers for the zooplankton species: Calanus hyperboreus, Metridia longa, Metridia pacifica and Thysanoessa raschii,

This process was repeated for future predictions based on the CanESM2 data (see in the data section).

For zooplankton species the following layers were developed and for the future.

C. hyperboreus: Best-pooled model as well as future predictions (rcp26 including ocean layer(also excluding), rcp85 including oocean layers (also excluding) for 2010 and 2100.For parameters: Presence/random absence, most likely depth and life stage layers

M. longa: Best-pooled model as well as future predictions (rcp26 including ocean layer(also excluding), rcp85 including oocean layers (also excluding) for 2010 and 2100. For parameters: Presence/random absence, most likely depth and life stage layers

M. pacifica: Best-pooled model as well as future predictions (rcp26 including ocean layer (also excluding), rcp85 including ocean layers (also excluding) for 2010 and 2100. For parameters: Presence/random absence, most likely depth and life stage layers

T. raschii: Best-pooled model only due to coverage of future climate data. Presence/random absence, most likely depth and life stage layers

Process_Description: Data are organized by folder and get described that way below:

Data Folders (Directories): Data for best-pooled model: Predicted layers: Best-pooled model: Presence/random absence, most likely depth and life stage layers -Sub Folder: C. hyperboreus -Sub Folder: M. longa -Sub Folder: M. pacifica -Sub Folder: T. raschii

Future predicted models from CanESM2: Folder: RCP 26 including ocean layers Presence/random absence, most likely depth and life stage layers for 2010 and 2100 Folder: C. hyperboreus -Sub Folder: M. longa -Sub Folder: M. pacifica -Sub Folder: T. raschii

Folder: RCP 26 excluding ocean layers Presence/random absence, most likely depth and life stage layers for 2010 and 2100 -Sub Folder: C. hyperboreus -Sub Folder: M. longa -Sub Folder: M. pacifica -Sub Folder: T. raschii

Folder: RCP 85 including ocean layers Presence/random absence, most likely depth and life stage layers for 2010 and 2100 -Sub Folder: C. hyperboreus -Sub Folder: M. longa -Sub Folder: M. pacifica -Sub Folder: T. raschii

Folder: RCP 85 excluding ocean layers Presence/random absence, most likely depth and life stage layers for 2010 and 2100 -Sub Folder: C. hyperboreus -Sub Folder: M. longa -Sub Folder: M. pacifica -Sub Folder: T. raschii

Source_Used_Citation_Abbreviation:
see directly in the processing steps; data are organized by folder and described that way.
Process_Date: Unknown
Source_Produced_Citation_Abbreviation: Moritz Schmid,
Source_Produced_Citation_Abbreviation: EWHALE lab
Process_Contact:
Contact_Information:
Contact_Person_Primary:
Contact_Person: Moritz Schmid et al.
Contact_Organization: EWHALE lab
Contact_Position: M.Sc.
Contact_Address:
Address_Type: mailing and physical
Address: EWHALE lab
Address:
Inst of Arctic Biology, Biology & Wildlife Dept. University of Alaska-Fairbanks 99775 USA
City: Fairbanks
State_or_Province: Alaska
Postal_Code: 99775
Country: USA
Contact_Voice_Telephone: +1 907 474 7882
Contact_Electronic_Mail_Address: xxx
Hours_of_Service: Business hours
Contact_Instructions: Contact by phone, email or regular mail

Spatial_Data_Organization_Information:
Indirect_Spatial_Reference: General definitions of Arctic regions
Direct_Spatial_Reference_Method: Raster
Raster_Object_Information:
Raster_Object_Type: Pixel

Spatial_Reference_Information:
Horizontal_Coordinate_System_Definition:
Planar:
Map_Projection:
Map_Projection_Name: Stereographic
Stereographic:
Longitude_of_Projection_Center: 0
Latitude_of_Projection_Center: 0
False_Easting: 1.0
False_Northing: 1.0
Planar_Coordinate_Information:
Planar_Coordinate_Encoding_Method: coordinate pair
Coordinate_Representation:
Abscissa_Resolution: 1
Ordinate_Resolution: 1
Planar_Distance_Units: meters
Geodetic_Model:
Horizontal_Datum_Name: World Geodetic System of 1984
Ellipsoid_Name: World Geodetic System of 1984
Semi-major_Axis: 6378137
Denominator_of_Flattening_Ratio: 298.25722210088
Vertical_Coordinate_System_Definition:
Depth_System_Definition:
Depth_Datum_Name: Local surface
Depth_Distance_Units: meters
Depth_Encoding_Method: Attribute values

Entity_and_Attribute_Information:
Detailed_Description:
Entity_Type:
Entity_Type_Label: grid files and their tables
Entity_Type_Definition: by authors; the standard ArcGIS ESRI grid file format
Entity_Type_Definition_Source: by authors M. Schmid and F. Huettmann
Overview_Description:
Entity_and_Attribute_Overview:
There are 33 layers, and each carry a different content. The layers are described accordingly.
Entity_and_Attribute_Detail_Citation: na

Distribution_Information:
Distributor:
Contact_Information:
Contact_Person_Primary:
Contact_Person: Moritz Schmid and Falk Huettmann
Contact_Address:
Address_Type: mailing and physical
Address: See earlier contact information in the metadata
City:
State_or_Province:
Postal_Code:
Contact_Voice_Telephone: +1 907 474 7882
Contact_Electronic_Mail_Address: fhuettmann@alaska.edu
Resource_Description: 170 digital datasets in ArcGIS ESRI grid format
Distribution_Liability: No liability is assigned.
Standard_Order_Process:
Digital_Form:
Digital_Transfer_Information:
Format_Name: ASCII
Format_Version_Date: 20101231
ASCII_File_Structure:
Record_Delimiter: space
Number_Header_Lines: 6
Description_of_Header_Content:
For Arctic: ncols 3601 nrows 451 xllcenter -180.000000000 yllcenter 45.000000000 cellsize 0.100000 nodata_value -9999

For Antarctic:

ncols 3601 nrows 351 xllcenter -180.000000000 yllcenter -80.000000000 cellsize 0.100000 nodata_value -9999

Orientation: columnmajor
Case_Sensitive: N
Authentication: na
Quote_Character: "
Data_Field:
Data_Field_Name: x.y and z formats
Missing_Value_Code: NA
Data_Field_Width_Delimiter: comma
Format_Information_Content: ASCII files
File_Decompression_Technique: No compression applied
Digital_Transfer_Option:
Online_Option:
Computer_Contact_Information:
Network_Address:
Network_Resource_Name: ftp, CD rom, or otherwise
Access_Instructions: open data device upon receival
Online_Computer_and_Operating_System: PC compatible
Fees: None
Ordering_Instructions: Ask via phone, email or letter
Turnaround:
Download is quick, otherwise, whenever time allows, e.g. a week or less
Custom_Order_Process: Contact authors
Technical_Prerequisites:
GIS program like ArcGIS or R who can read ESRI grids. Transfer needs a a large harddrive (>5GB) to cover all data sets.

Metadata_Reference_Information:
Metadata_Date: 20120413
Metadata_Contact:
Contact_Information:
Contact_Person_Primary:
Contact_Person: Moritz Schmid and Falk Huettmann
Contact_Organization: EWHALE lab
Contact_Position: M.Sc. and supervising prof.
Contact_Address:
Address_Type: mailing and physical
Address: Moritz Schmid and Falk Huettmann
Address: -EWHALE lab-
Address: Inst of Arctic Biology,
Address: Biology & Wildlife Dept.
Address: University of Alaska Fairbank
City: Fairbanks
State_or_Province: Alaska
Postal_Code: 99775
Country: USA
Contact_Voice_Telephone: +1 907 4747882
Contact_Electronic_Mail_Address: fhuettmann@alaska.edu
Metadata_Standard_Name:
FGDC Biological Data Profile of the Content Standard for Digital Geospatial Metadata
Metadata_Standard_Version: FGDC-STD-001.1-1999
Metadata_Access_Constraints: NA
Metadata_Use_Constraints: NA
Metadata_Security_Information:
Metadata_Security_Classification_System: NA
Metadata_Security_Classification: Unclassified
Metadata_Security_Handling_Description: NA

Generated by mp version 2.8.25 on Fri Apr 20 06:02:16 2012