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Species Occupancy and Distribution Baselines in NSW RFA Regions Webmap
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
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Fauna Species occupancy and Distribution Baselines in NSW RFA Regions
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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
Forest ecosystem classification and mapping for the Eden Comprehensive Regional Assessment : a report undertaken for the NSW CRA/RFA Steering Committee : project number NA 18EH
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Environmental Impact Statement: Forest ecosystem classification and mapping for the Eden Comprehensive Regional Assessment : a report undertaken for the NSW CRA/RFA Steering Committee : project number NA 18EH
NSW Forest Monitoring and Improvement Program RFA Historic Forest Connectivity - 1995 to 2019
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This dataset contains spatial layers describing Forest Connectivity from 1995-2019, in NSW Regional Forest Agreements (RFA) Areas along the eastern coast. Forest Connectivity accounts for the general quality of terrestrial habitats supporting biodiversity at each location, the fragmentation of habitat within its neighbourhood and how its position in the landscape contributes to connectivity among the habitats across a region. These have been based off the National Greenhouse Gas Inventory (NGGI) National Carbon Accounting System (NCAS) National Forest and Sparse Woody Vegetation Data grids (ABARES, 2020). These base grids are Landsat in origin and have a resolution of 25m. Forest Connectivity, including canopy cover connectivity and fragmentation is concerned and linked to forest condition. Concepts applied are to be aligned with definitions as found in the NSW Biodiversity Indicator Program (BIP) and the Spatial Links methodology for calculating connectivity. Base cover extent grids used are from the NSW RFA Historic Forest Canopy Cover Extent – 1995 to 2019 product. Read more about the project on the Natural Resources Commission website: https://www.nrc.nsw.gov.au/fmip-baselines-ecosystem-health-projectfe1 This dataset is superseded by 'NSW Forest Monitoring and Improvement Program State-Wide Historic Forest Connectivity - 1995 to 2020'
산림청 국립산림과학원 산림유역 강우유출
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유역별 일강수량 및 일평균 수위 제공(산림유역명, 주소, 연구목적, 죄표, 대상면적, 현장장비, 연평균강수량, 연평균기온, 토심, 평균경사 등)
Baselines for Soil Health and Stability in NSW RFA Regions: Empirical Soil Maps
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Export DataThe Forest Monitoring Steering Committee commissioned a consortium between the NSW Department of Planning, Industry and Environment and the University of Sydney to deliver Baselines, Drivers and Trends for soil stability and health in forest catchments across the NSW Regional Forest Agreement areas.Find out more about the project here.Empirical Soil Maps: Soil data collected using an empirical approach, presented on 2162 units, based on the unit's most representative soil profile available within the Soil and Land Information System (SALIS). Maps reflect values when the sampling occurred with temporal changes not being accounted for.Metadata Portal Metadata InformationContent TitleBaselines for Soil Health and Stability in NSW RFA Regions: Empirical Soil MapsContent TypeScene Layer/Scene Layer PackageDescriptionSoil data collected using an empirical approach, presented on 2162 units, based on the unit's most representative soil profile available within the Soil and Land Information System (SALIS). Maps reflect values when the sampling occurred with temporal changes not being accounted for.Initial Publication Date30/05/2022Data Currency30/05/2022Data Update FrequencyOtherContent SourceOtherFile TypeMap Feature ServiceAttributionData Theme, Classification or Relationship to other DatasetsAccuracySpatial Reference System (dataset)OtherSpatial Reference System (web service)OtherWGS84 Equivalent ToOtherSpatial ExtentContent LineageData ClassificationUnclassifiedData Access PolicyOpenData QualityTerms and ConditionsCreative CommonsStandard and SpecificationData CustodianNSW Natural Resources CommissionPoint of ContactEmma Pearce (Emma.Pearce@nrc.nsw.gov.au)Data AggregatorData DistributorSpatial VisionAdditional Supporting InformationTRIM Number