TemperateReefBase Geonetwork Catalogue
Habitat suitability predictions for 15 species of cephalopods in the Southern Ocean
Our understanding of how environmental change in the Southern Ocean will affect marine diversity,habitats and distribution remain limited. The habitats and distributions of Southern Ocean cephalopods are generally poorly understood, and yet such knowledge is necessary for research and conservation management purposes, as well as for assessing the potential impacts of environmental change. We used net-catch data to develop habitat suitability models for 15 of the most common cephalopods in the Southern Ocean. Full details of the methodology are provided in the paper (Xavier et al. (2015)). Briefly, occurrence data were taken from the SCAR Biogeographic Atlas of the Southern Ocean. This compilation was based upon Xavier et al. (1999), with additional data drawn from the Ocean Biogeographic Information System, biodiversity.aq, the Australian Antarctic Data Centre, and the National Institute of Water and Atmospheric Research. The habitat suitability modelling was conducted using the Maxent software package (v3.3.3k, Phillips et al., 2006). Maxent allows for nonlinear model terms by formulating a series of features from the predictor variables. Due to relatively limited sample sizes, we constrained the complexity of most models by considering only linear, quadratic, and product features. A multiplier of 3.0 was used on automatic regularization parameters to discourage overfitting; otherwise, default Maxent settings were used. Predictor variables were chosen from a collection of Southern Ocean layers. These variables were selected as indicators of ecosystem structure and processes including water mass properties, sea ice dynamics, and productivity. A 10-fold cross-validation procedure was used to assess model performance (using the area under the receiver-operating curve) and variable permutation importance, with values averaged over the 10 fitted models. The final predicted distribution for each species was based on a single model fitted using all data: these are the predictions included in this data set.
The individual habitat suitability models were overlaid to generate a 'hotspot' index of species richness. The predicted habitat suitability for each species was converted to a binary presence/absence layer by applying a threshold, such that habitat suitability values above the threshold were converted to presences. The threshold used for each species was the average of the thresholds (for each of the 10 training models) chosen to maximize the test area under the receiver-operating curve. The binary layers were then summed to give the number of species estimated to be present in each pixel in the study region.
Simple
Identification info
- Alternate title
- Habitat suitability predictions for 15 species of cephalopods in the Southern Ocean
- Date (Publication)
- 2015-11-05
- Edition
- 1
- Citation identifier
-
Dataset DOI
- Title
- Information and documentation - Digital object identifier system
- Date (Publication)
- 2012-04-23
- Citation identifier
- ISO 26324:2012
- Citation identifier
- doi:10.4225/15/563AC33450A28
Originator
Publisher
Principal investigator
Principal investigator
Principal investigator
Principal investigator
Collaborator
- Name
- CAASM Metadata
- Status
- Completed
Custodian
Spatial resolution
- Vertical sampling distance
- 10
- Topic category
-
- Biota
- Oceans
Extent
))
Extent
- Description
- Temporal Coverage
Temporal extent
- TimePeriod
- 2012-07-01 2016-06-30
- Title
- Biogeography of cephalopods in the Southern Ocean using habitat suitability prediction models.
- Date (Publication)
- 2015
- Citation identifier
- doi:10.1007/s10021-015-9926-1
Author
- Name
- Ecosystems
- NASA/GCMD Earth Science Keywords
-
- EARTH SCIENCE > BIOSPHERE > ECOSYSTEMS > MARINE ECOSYSTEMS
- EARTH SCIENCE > BIOLOGICAL CLASSIFICATION > ANIMALS/INVERTEBRATES > MOLLUSKS > CEPHALOPODS > SQUIDS
- NASA/GCMD Earth Science Keywords
-
- Computer > Computer
- NASA/GCMD Earth Science Keywords
-
- MODELS
- NASA/GCMD Earth Science Keywords
-
- AMD/AU
- AMD
- CEOS
- NASA/GCMD Earth Science Keywords
-
- GEOGRAPHIC REGION > POLAR
- OCEAN > SOUTHERN OCEAN
Resource constraints
- Use limitation
- This metadata record is publicly available.
Resource constraints
- Access constraints
- licence
- Other constraints
- These data are publicly available for download from the provided URL.
Resource constraints
- File type
- Portable Network Graphic
- Title
- Attribution 4.0 International (CC BY 4.0)
- Website
-
https://creativecommons.org/licenses/by/4.0/legalcode
Legal code for Creative Commons by Attribution 4.0 International license
- Use constraints
- licence
- Other constraints
- This data set conforms to the CCBY Attribution License (http://creativecommons.org/licenses/by/4.0/). Please follow instructions listed in the citation reference provided at http://data.aad.gov.au/aadc/metadata/citation.cfm?entry_id=AAS_4124_cephalopod_habitat_suitability when using these data.
- Language
- English
- Character encoding
- UTF8
Distribution Information
Distributor
Distributor
Distributor
- Fees
- Free
- Planned available datetime
- 2015-11-05T00:00:00
Distributor
- Fees
- Free
- Planned available datetime
- 2015-11-05T00:00:00
- Units of distribution
- MB
- Transfer size
- 38.7
- Distribution format
-
- Ascii
- Units of distribution
- MB
- Transfer size
- 56
- Distribution format
-
- Netcdf
- OnLine resource
-
GET DATA
Download point for the ascii dataset
- OnLine resource
-
GET DATA
Download point for the netcdf dataset
- OnLine resource
-
PROJECT HOME PAGE
Public information for AAS project 4124
- OnLine resource
-
VIEW RELATED INFORMATION
Citation reference for this metadata record and dataset.
Resource lineage
- Statement
- Although we have attempted to account for the spatial distribution of survey efforts in the modelling procedure, these results should still be treated with caution, particularly for species with small sample sizes or where one particular area dominates the occurrence record. The predictor variables used were drawn from satellite and similar sources. The information from such variables rarely provides direct characterization of the primary processes affecting the species distribution. For example, there are no direct estimates of squid prey distributions. Instead, these variables typically provide proxy information such as water mass properties or primary productivity. The spatial and temporal scales of this information often do not match the scales experienced by the animals. Furthermore, predictor variables in the Southern Ocean are typically highly correlated because of the strong latitudinal and seasonal gradient that affects oceanic and atmospheric conditions. Because of these factors, it is rarely obvious which particular predictor variable is the most appropriate proxy to use in a given model. The dates provided in temporal coverage correspond to the start and stop dates of the project.
- Hierarchy level
- Dataset
- Maintenance and update frequency
- As needed
- Maintenance note
- 2015-11-05 - record created by Ben Raymond. 2018-02-19 - record updated by Dave Connell - basic updates. 2019-04-01 - record updated by Dave Connell for ISO compliance.
Metadata
- Metadata identifier
- string/AAS_4124_cephalopod_habitat_suitability
- Language
- English
- Character encoding
- UTF8
Author
Sponsor
Owner
Type of resource
- Resource scope
- Dataset
Alternative metadata reference
- Title
- gov.nasa.gsfc.gcmd
- Citation identifier
- 4349d375-7745-4c65-a397-96208ad4100f
Alternative metadata reference
- Title
- gov.nasa.gsfc.gcmd
- Date (Last Revision)
- 2019-04-01T16:29:01
Identifier
- Description
- metadata.extraction_date
Alternative metadata reference
- Title
- gov.nasa.gsfc.gcmd
- Citation identifier
- 8.6
- Metadata linkage
-
http://data.aad.gov.au/metadata/records/AAS_4124_cephalopod_habitat_suitability
Point of truth for the metadata record
- Date info (Creation)
- 2015-11-04T00:00:00
- Date info (Last Update)
- 2019-04-01
Metadata standard
- Title
- ISO 19115-3
- Edition
- 2014
- Other citation details
- Version 1
- Title
- DIF to ISO 19115-1 Profile
Overviews
Spatial extent
Provided by
