Export Data Access API A Series of models describing Flora habitat suitability as probability in Regional Forest Agreement Regions. More information: https://portal.spatial.nsw.gov.au/portal/home/item.html?id=78e6ae3d34aa45d2b8118fd0308d6459 Metadata Portal Metadata InformationContent TitleFlora Species Occupancy and Distribution Baselines in NSW RFA RegionsContent TypeOtherDescriptionA Series of models describing Flora habitat suitability as probability in Regional Forest Agreement RegionsInitial Publication Date26/08/2022Data Currency01/01/2000Data Update FrequencyOtherContent SourceFile TypeTIFFAttributionData Theme, Classification or Relationship to other DatasetsAccuracySpatial Reference System (dataset)GDA94Spatial Reference System (web service)EPSG:4326WGS84 Equivalent ToGDA94Spatial ExtentContent LineageData ClassificationUnclassifiedData Access PolicyOpenData QualityTerms and ConditionsCreative CommonsStandard and SpecificationData CustodianNatural Resources CommissionPoint of Contactnrc@nrc.nsw.gov.auData AggregatorData DistributorAdditional Supporting InformationTRIM Number

Export Data Access API A Series of models describing Fauna habitat suitability and occurrence as probability. More information: https://portal.spatial.nsw.gov.au/portal/home/item.html?id=78e6ae3d34aa45d2b8118fd0308d6459 Metadata Portal Metadata InformationContent TitleFauna Species occupancy and Distribution Baselines in NSW RFA RegionsContent TypeOtherDescriptionA Series of models describing Fauna habitat suitability and occurrence as probability.Initial Publication Date06/08/2022Data Currency01/01/2000Data Update FrequencyOtherContent SourceFile TypeTIFFAttributionData Theme, Classification or Relationship to other DatasetsAccuracySpatial Reference System (dataset)GDA94Spatial Reference System (web service)EPSG:4326WGS84 Equivalent ToGDA94Spatial ExtentContent LineageData ClassificationUnclassifiedData Access PolicyOpenData QualityTerms and ConditionsCreative CommonsStandard and SpecificationData CustodianNatural Resources CommissionPoint of Contactnrc@nrc.nsw.gov.auData AggregatorData DistributorAdditional Supporting InformationTRIM Number

The Forest Monitoring Steering Committee commissioned the University of New England and the NSW Departments of Primary Industries and Planning, Industry and Environment to deliver baselines, drivers and trends for species occupancy and distribution in NSW forests across tenures. Over 15 leading scientists formed a project team lead by Nick Reid.This work delivered a comprehensive suite of models to baseline species occupancy and distribution and help explore drivers in change.Find out more about the project here.This webmap contains those models of a selected group of vulnerable flora & fauna.Model Information:Maximum Entropy (Maxent) & Species Occupancy Model (SOM) 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.To find more information about the models and processes involved, or to access the underlying data, click here.________For a User Guide for this Webapp, follow this link:User GuideTo leave feedback on your experience with this web site or its data, follow this link:NRC Contact PageTo leave feedback on your experience with the Spatial Collaboration Portal, follow this link:Spatial Collaboration Portal Feedback________This webmap and associated webapps are part of the Forest Monitoring & Improvement Program. Metadata Portal Metadata Information Content TitleSpecies Occupancy and Distribution Baselines in NSW RFA Regions WebmapContent TypeWeb MapDescriptionThis Webmap contains a series of spatial outputs describing probabilistic species predictive occupancy (Species Occupancy Models, or SOM) & habitat suitability (Maximum Entropy, or Maxent) surfaces.Initial Publication Date06/06/2022Data Currency01/01/2000Data Update FrequencyOtherContent SourceFile TypeMap Feature ServiceAttributionData Theme, Classification or Relationship to other DatasetsAccuracySpatial Reference System (dataset)WGS84Spatial Reference System (web service)EPSG:4326WGS84 Equivalent ToGDA94Spatial ExtentContent LineageData ClassificationUnclassifiedData Access PolicyOpenData QualityTerms and ConditionsCreative CommonsStandard and SpecificationData CustodianNatural Resources CommissionPoint of Contactnrc@nrc.nsw.gov.auData AggregatorData DistributorAdditional Supporting InformationTRIM Number

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

This raster presents the final outputs from a VisTrails/SAHM workflow to model the potential distribution of Zuni fleabane (Erigeron rhizomatus) in northwestern New Mexico. These models utilized field data of spatially thinned occurrence locations and random background locations. We included a suite of predictors related to soils, topography, vegetation cover, and geology. Details about both occurrence data and predictor inputs are included in the associated manuscript and Source Info section of this metadata. We developed models using five algorithms with VisTrails: Software for Assisted Habitat Modeling [SAHM 2.1.2] (Morisette et al., 2013), and combined these to create an ensemble of models. The resulting raster depicts potential suitability ranging from 0 - Unsuitable to 4 - highest suitability based on the total number of models in agreement of suitability. For more information on the model creation process and interpretation of the final map, see "Process Step" section.

The dataset includes two main components: (1) Tree survey - data on the species, diameter and height of individual trees, along with a count of seedlings and saplings; and (2) Coarse woody debris - data on the size and decay class of downed coarse woody debris encountered in the plots.