Research Data

Structural habitat composition of Althaus Creek (Townsville, QLD)

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General
Title
Structural habitat composition of Althaus Creek (Townsville, QLD)
Type
Dataset
Date Record Created
2019-06-14
Date Record Modified
2020-03-06
Language
English
Coverage
Date Coverage
2017 to 2018
Time Period
(no information)
Geospatial Location
  • Althaus Creek, Townsville, Queensland, Australia
Description
Descriptions
  1. Type: full

    Dataset for the structural habitat composition of the estuarine section of Althaus Creek (Townsville, QLD) mapped in the period 2016-2018.

    A "structural habitat" is defined as the combination of one or more of the different structural classes belonging to the structural attributes ‘substratum’, ‘vegetation’, and ‘artificial features’. 

    The dataset includes the following layer groups:

    - Map of the extent and distribution of the 23 structural habitat types identified in Althaus: CreekAlthausCreek_StructuralHabitats_Full_List.rar

    - Maps of the extent and distribution of natural habitats (NAT) and habitats characterised by the presence of one or more artificial modifications (MOD): AlthausCreek_StructuralHabitats_NAT-MOD.rar

    - Maps of the extent and distribution of the structural attribute 'Sediment', divided in five classes: mud (MUD), sand (SAN), gravel (GRV), boulder (BLD) and pavement (PAV): AlthausCreek_StructuralLayer_Sediment.rar

    - Maps of the extent and distribution of the structural attribute 'Vegetation', divided in two classes: mangrove (MG) and saltmarsh (SM): AlthausCreek_StructuralLayer_Vegetation.rar

    - Maps of the extent and distribution of the structural attribute 'Artificial feature', divided in two classes: armouring (A) and level structure (L): AlthausCreek_StructuralLayer_Artificial_Features.rar

  2. Type: note

    Data is currently available via negotiated access only and will be made open once papers are published.

Related Publications
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Related Websites
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Related Data
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Technical metadata
(no information)
People
Creators
  1. Owned by: Miss Claudia Trave , claudia.trave1@jcu.edu.au , College of Science & Engineering, James Cook University, Tropical Water & Ecosystems (TropWater)
Primary Contact
Miss Claudia Trave, claudia.trave1@my.jcu.edu.au
Supervisors
  1. Dr Nathan Waltham , nathan.waltham@jcu.edu.au
Collaborators
(no information)
Subject
Fields of Research
  1. 050205 - Environmental Management (050205)
  2. 050206 - Environmental Monitoring (050206)
  3. 050209 - Natural Resource Management (050209)
  4. 050211 - Wildlife and Habitat Management (050211)
  5. 060205 - Marine and Estuarine Ecology (incl. Marine Ichthyology) (060205)
Socio-Economic Objective
  1. 960503 - Ecosystem Assessment and Management of Coastal and Estuarine Environments (960503)
  2. 960511 - Ecosystem Assessment and Management of Urban and Industrial Environments (960511)
Keywords
  1. ecosystem management
  2. habitat
  3. structural habitat
  4. wetlands
  5. sediment
  6. vegetation and water sample
  7. artificial structures
  8. urban development
  9. ecosystem mapping
  10. landscape management
  11. Althaus Creek
  12. ubanised ecosystems
  13. urbanised estuaries
  14. tropical estuaries
Research Activity
(no information)
Research Themes
Tropical Ecosystems, Conservation and Climate Change
Rights
License
CC BY-NC 4.0: Attribution-Noncommercial 4.0 International
License - Other
(no information)
Access Rights/Conditions
Please contact the data manager or nominated primary contact to negotiate access to this data. If you have difficulty, please contact researchdata@jcu.edu.au for assistance.
Type
conditional
Rights
(no information)
Data
Data Location
Online Locations
Stored At
Science for Integrated Coastal Ecosystem Management (SICEM), Room 325 The Science Place (Bld. 145), James Cook University, Townsville 4014 QLD, Australia and secure section of Research Data JCU
Citation
Cite:
Trave, C. (2019): Structural habitat composition of Althaus Creek (Townsville, QLD). James Cook University. (dataset). http://dx.doi.org/10.25903/5d043206e7f4f
Digital Object Identifier (DOI):
10.25903/5d043206e7f4f