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Data

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

Ver: 1.0
Status of Data: completed
Update Frequency: notPlanned
Security Classification: unclassified
Dataset Published: 2024-01-03
Dataset Last Modified: 2026-08-18
Metadata viewed 601 times
Dataset accessed 227 times
Metadata Created: 2022-05-06
Metadata Last Modified: 2026-08-19
How to cite this collection:
Natural Resources Commission, New South Wales Government (2024). NSW Forest Monitoring and Improvement Program Biodiversity Model Outputs: SOMs, Maxent & NARCliM (Climate) Projections. Version 1.0. Terrestrial Ecosystem Research Network. Dataset. https://dx.doi.org/10.25901/wc1j-8882 
Data can be accessed from the following links:
HTTPFauna Maxent Model outputs
HTTPFauna Species Occupancy Model outputs
HTTPFlora Maxent Model outputs
HTTPModel Inputs
HTTPMaxent Fauna Metadata
HTTPMaxent Flora Metadata
HTTPMaxent Flora Climate Change Projections Metadata
HTTPFauna SOM Metadata
HTTPPoint-of-truth metadata URL
HTTPro-crate-metadata.json
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.
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.
Covariates, Fauna & Flora survey records used to create the models are included.
More detailed information regarding each model, its processes and outputs are included in the dataset.
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:
https://portal.spatial.nsw.gov.au/portal/home/item.html?id=78e6ae3d34aa45d2b8118fd0308d6459 
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. This project was created as part of the NSW Government, Natural Resource Commission, Forest Monitoring and Improvement Program. 
Purpose
The dataset was created as part fulfillment for the NRC project ‘NSW Forest Monitoring and Improvement Program' 
Lineage
Data not provided. 
Method DocumentationData not provided.
Procedure StepsData not provided.
Spatial Description
Modelling is restricted to the eastern NSW RFA areas. 
Temporal Coverage
From 1987-01-01 to 2019-12-31 
Spatial Resolution

Data not provided.

Vertical Extent

Data not provided.

Data Quality Assessment Scope
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. 
Data Quality Report
Data not provided. 
Data Quality Assessment Outcome
Data not provided. 
ANZSRC - FOR
Biosecurity science and invasive species ecology
Climate change science
Conservation and biodiversity
Environmental geography
Population ecology
Data Stream
Climate and Bioclimate
GCMD Sciences
ECOLOGICAL DYNAMICS - POPULATION DYNAMICS
GEOGRAPHIC INFORMATION SYSTEMS
LANDSCAPE ECOLOGY
PALEOCLIMATE INDICATORS - FAUNA
Horizontal Resolution
250 km - < 500 km or approximately 2.5 degrees - < 5.0 degrees
Parameters
animal presence
habitat suitability
plant presence
Project
Others
Temporal Resolution
Decadal
Topic
biota
environment
geoscientificInformation
User Defined
Fauna
Flora
Maxent Modelling
Maximum Entropy
NARCliM
Occupancy Modelling
RFA
SOM
Author
Natural Resources Commission, New South Wales Government
Contact Point
Bell, Jeffrey
Natural Resources Commission, New South Wales Government
Publisher
Terrestrial Ecosystem Research Network
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. 
Resource Specific Usage
Data not provided. 
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). 
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Creative Commons Attribution 4.0 International Licence
https://creativecommons.org/licenses/by/4.0/
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/ 
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Please advise any work or publications that use this data via the online form at https://www.tern.org.au/research-publications/#reporting 
Please cite this dataset as {Author} ({PublicationYear}). {Title}. {Version, as appropriate}. Terrestrial Ecosystem Research Network. Dataset. {Identifier}.