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NSW Forest Monitoring and Improvement Program Biodiversity Model Outputs: SOMs, Maxent & NARCliM (climate) Projections

This dataset contains a series of spatial outputs describing probabilistic species predictive occupancy (Species Occupancy Models, or SOM) & habitat suitability (Maximum Entropy, or Maxent) surfaces, the underlying data used to calculate these models & model projections predicting the impact of climate change on flora Maxent surfaces.

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Model outputs are combination outputs dependent on known species occurrence in the landscape, the species relationship with environmental variables (covariates) such as temperature, rainfall and topography; and its predicted occurrence based on covariate analysis. Maxent models do not predict actual occupancy, but rather habitat suitability, while SOMs predict actual occupancy. confounding factors such as inter-species competition, geographical barriers and disturbance events play a significant role in species occurrence, and are not considered in Maxent or SOM.

Flora Maxent climate change projections used NSW and Australian Regional Climate Modelling (NARCliM) variables to predict habitat suitability for a baseline year 2000 and projections for 2030 and 2070.

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Covariates, Fauna & Flora survey records used to create the models are included.

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More detailed information regarding each model, its processes and outputs are included in the dataset.

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A web mapping application on the NSW Spatial Collaboration Portal depicts Maxent & SOM of a selected group of vulnerable Flora & Fauna from this dataset. Access the webapp through the link below:

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https://portal.spatial.nsw.gov.au/portal/home/item.html?id=78e6ae3d34aa45d2b8118fd0308d6459

Simple

Identification info

Date (Creation)
2021-06-22
Date (Publication)
2022-11-18
Date (Revision)
2014-07-14
Edition
1.0

Identifier

Title
DataCite
Code
doi:10.25901/wc1j-8882
Codespace
http://dx.doi.org

Publisher

Terrestrial Ecosystem Research Network
Building 1019, 80 Meiers Rd
Indooroopilly
QLD
4068
Australia
+61 7 3365 9097

Author

Natural Resources Commission - NSW Government
52 Martin Place, Sydney, NSW, 2000, Australia
Sydney
NSW
2000
Australia
Website
https://www.tern.org.au/

Purpose
The dataset was created as part fulfillment for the NRC project ‘NSW Forest Monitoring and Improvement Program'
Credit
We at TERN acknowledge the Traditional Owners and Custodians throughout Australia, New Zealand and all nations. We honour their profound connections to land, water, biodiversity and culture and pay our respects to their Elders past, present and emerging.
Credit
This project was created as part of the NSW Government, Natural Resource Commission, Forest Monitoring and Improvement Program.
Status
Completed

Point of contact

Natural Resources Commission - NSW Government - Bell, Jeffrey ()
52 Martin Place, Sydney, NSW, 2000, Australia
52 Martin Place
Sydney
NSW
2000
Australia

Point of contact

Natural Resources Commission - NSW Government
52 Martin Place, Sydney, NSW, 2000, Australia
52 Martin Place
Sydney
NSW
2000
Australia
Topic category
  • Biota
  • Geoscientific information
  • Environment

Extent

Description
Modelling is restricted to the eastern NSW RFA areas.
N
S
E
W


Temporal extent

Time period
1987-01-01 2019-12-31
Maintenance and update frequency
Not planned
GCMD Science Keywords
  • GEOGRAPHIC INFORMATION SYSTEMS
  • FAUNA
  • POPULATION DYNAMICS
  • LANDSCAPE ECOLOGY
ANZSRC Fields of Research
  • Conservation and biodiversity
  • Climate change science
  • Environmental geography
  • Population ecology
  • Biosecurity science and invasive species ecology
TERN Parameter Vocabulary
  • animal occurrence
  • Unitless
  • Habitat Suitability
  • Unitless
  • flora occurrence
  • Unitless
GCMD Horizontal Resolution Ranges
  • 250 km - < 500 km or approximately 2.5 degrees - < 5.0 degrees
GCMD Temporal Resolution Ranges
  • Decadal
Keywords (Discipline)
  • NARCliM
  • Flora
  • Fauna
  • RFA
  • Maxent Modelling
  • Maximum Entropy
  • Occupancy Modelling
  • SOM

Resource constraints

Use limitation
The Creative Commons Attribution 4.0 International (CC BY 4.0) license allows others to copy, distribute, display, and create derivative works provided that they credit the original source and any other nominated parties. Details are provided at https://creativecommons.org/licenses/by/4.0/
File name
88x31.png
File description
CCBy Logo from creativecommons.org
File type
png
Linkage
https://w3id.org/tern/static/cc-by/88x31.png

Title
Creative Commons Attribution 4.0 International Licence
Alternate title
CC-BY
Edition
4.0
Website
https://creativecommons.org/licenses/by/4.0/

Access constraints
License
Use constraints
Other restrictions
Other constraints
TERN services are provided on an "as-is" and "as available" basis. Users use any TERN services at their discretion and risk. They will be solely responsible for any damage or loss whatsoever that results from such use including use of any data obtained through TERN and any analysis performed using the TERN infrastructure. <br />Web links to and from external, third party websites should not be construed as implying any relationships with and/or endorsement of the external site or its content by TERN. <br /><br />Please advise any work or publications that use this data via the online form at https://www.tern.org.au/research-publications/#reporting
Other constraints
Please cite this dataset as {Author} ({PublicationYear}). {Title}. {Version, as appropriate}. Terrestrial Ecosystem Research Network. Dataset. {Identifier}.

Resource constraints

Classification
Unclassified
Environment description
Model outputs are provided in a Raster, GeoTiff format to be used in Geographic Information Systems. SOM analysis is based on the RPresence analysis software developed by Darryl Makenzie (https://www.mbr-pwrc.usgs.gov/software/presence.html and references therein). Maxent analysis is based on software developed by Steven Phillips (https://biodiversityinformatics.amnh.org/open_source/maxent/ and references therein).
Supplemental Information
SOM: Pixel values represent a probability of species occupation in an area between 0 and 1. Maxent: Pixel values represent a probability of species habitat suitability in an area between 0 and 1.

Distribution Information

Distributor

Distributor

Terrestrial Ecosystem Research Network
Building 1019, 80 Meiers Rd
Indooroopilly
QLD
4068
Australia
+61 7 3365 9097
OnLine resource
Maxent Fauna Metadata

Distribution Information

Distributor

Distributor

Terrestrial Ecosystem Research Network
Building 1019, 80 Meiers Rd
Indooroopilly
QLD
4068
Australia
+61 7 3365 9097
OnLine resource
Maxent Flora Climate Change Projections Metadata

Distribution Information

Distributor

Distributor

Terrestrial Ecosystem Research Network
Building 1019, 80 Meiers Rd
Indooroopilly
QLD
4068
Australia
+61 7 3365 9097
OnLine resource
Maxent Flora Metadata

Distribution Information

Distributor

Distributor

Terrestrial Ecosystem Research Network
Building 1019, 80 Meiers Rd
Indooroopilly
QLD
4068
Australia
+61 7 3365 9097
OnLine resource
Fauna SOM Metadata

Distribution Information

Distributor

Distributor

Terrestrial Ecosystem Research Network
Building 1019, 80 Meiers Rd, Indooroopilly, QLD, Australia, 4068
Indooroopilly
QLD
4068
Australia
OnLine resource
Fauna Maxent Model outputs

OnLine resource
Fauna Species Occupancy Model outputs

OnLine resource
Flora Maxent Model outputs

OnLine resource
Model Inputs

Data quality info

Hierarchy level
Dataset
Other
Data has been subject to a data assurance process. There are no known gaps in the data or if there are gaps or, if there are gaps they have been identified in caveats attached to the dataset. No changes have been made or other factors identified (for example: weighting, rounding, de-identification of data, changes or flaws in data collection or verification methods) that could affect the validity of the data; or any changes/factors have been identified in caveats attached to the asset. The data correctly represents what it was designed to measure, monitor or report.

Resource lineage

Statement
<b>SOM:</b> Species occurrence data was sourced from NPWS (1994) Fauna of north-east NSW forests (NSW National Parks and Wildlife Service), as well as unpublished data held by the NSW DPI Forest Science unit. Covariate data was sourced in the main from the State Vegetation Type Map (SVTM) Modelling Grid Collection (https://datasets.seed.nsw.gov.au/dataset/svtm-modelling-grid-collection) with additional data as described in ‘NSW Forest Monitoring and Improvement Program: Final Report. Project 2: Baselines, drivers and trends for species occupancy and distribution.’ Model outputs (statistical analyses and predictive surfaces) were generated using the RPresence kernel from the R Project https://cran.r-project.org/ <p> <b>Maxent: </b>Species occurrence data from systematic fauna surveys conducted between 1991 and 1998 was sourced from NSW DPIE (e.g. NPWS 1994 Fauna of north-east NSW forests, NSW National Parks and Wildlife Service), as well as unpublished data held by the NSW DPI Forest Science unit. Additional occurrence data over the same period and spatial extent was extracted from the Atlas of Living Australia. Covariate data was sourced in the main from the State Vegetation Type Map (SVTM) Modelling Grid Collection (https://datasets.seed.nsw.gov.au/dataset/svtm-modelling-grid-collection) with additional data as described in ‘NSW Forest Monitoring and Improvement Program: Final Report. Project 2: Baselines, drivers and trends for species occupancy and distribution.’ Model outputs (statistical analyses and predictive surfaces) were generated using the Maxent kernel from the R Project https://cran.r-project.org/ <p> <b>NARCliM Projections:</b> Species occurrence data was sourced from Bionet, based on systematic NPWS surveys conducted ~1989-2000 [cf. NPWS (1994). Fauna of north-east NSW forests. (NSW National Parks and Wildlife Service)]. Additional occurrence data from 1991-1998 and equivalent spatial extent was extracted from the Atlas of Living Australia. NARCliM variables (GCM MIROC3.1; RCM R1 provided by the Science, Economics and Insights Division of DPIE NSW) along with relevant topographic layers from the State Vegetation Type Map (SVTM) Modelling Grid Collection (https://datasets.seed.nsw.gov.au/dataset/svtm-modelling-grid-collection) as described in the NRC publication ‘NSW Forest Monitoring and Improvement Program: Final Report. Project 2: Baselines, drivers and trends for species occupancy and distribution. Model outputs (statistical analyses and predictive surfaces) were generated using the software developed by Steven Phillips (https://biodiversityinformatics.amnh.org/open_source/maxent/) <p>
Hierarchy level
Dataset

Reference System Information

Reference system identifier
EPSG/EPSG:4283

Reference system type
Geodetic Geographic 2D

Metadata

Metadata identifier
urn:uuid/d488c1d3-cb1b-4ecd-a87d-d376414aff8b

Title
TERN GeoNetwork UUID

Language
English
Character encoding
UTF8

Point of contact

Terrestrial Ecosystem Research Network
Building 1019, 80 Meiers Rd
Indooroopilly
QLD
4068
Australia
+61 7 3365 9097

Type of resource

Resource scope
Dataset
Metadata linkage
https://geonetwork.tern.org.au/geonetwork/srv/eng/catalog.search#/metadata/d488c1d3-cb1b-4ecd-a87d-d376414aff8b

Point-of-truth metadata URL

Date info (Creation)
2022-05-06T00:00:00
Date info (Revision)
2022-11-18T00:00:00

Metadata standard

Title
ISO 19115-1:2014/AMD 1:2018 Geographic information - Metadata - Fundamentals
Edition
1

Metadata standard

Title
ISO/TS 19115-3:2016
Edition
1.0

Metadata standard

Title
ISO/TS 19157-2:2016
Edition
1.0
Title
Terrestrial Ecosystem Research Network (TERN) Metadata Profile of ISO 19115-3:2016 and ISO 19157-2:2016
Date (published)
2021
Edition
1.0

Identifier

Code
10.5281/zenodo.5652221
Website
https://github.com/ternaustralia/TERN-ISO19115/releases/tag/v1.0

 
 

Overviews

Spatial extent

N
S
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Keywords

ANZSRC Fields of Research
Biosecurity science and invasive species ecology Climate change science Conservation and biodiversity Environmental geography Population ecology
GCMD Science Keywords
FAUNA GEOGRAPHIC INFORMATION SYSTEMS LANDSCAPE ECOLOGY POPULATION DYNAMICS

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Associated resources

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