The NSW BioNet Flora Survey Data Collection is maintained via the Flora Survey Module of the NSW BioNet-Atlas application. This collection is a central, authoritative database for systematic vegetation survey data in NSW. Among other applications, this plot data is used to construct and maintain the quantitative Plant Community Type classification & Vegetation Integrity Benchmarks held in the BioNet Vegetation Classification Data Collection. These plots are also used to construct and update State Vegetation Type Maps held in the BioNet Vegetation Map Data Collection. ACCESS: Full datasets (site and species) may be accessed via the BioNet-Atlas application http://www.BioNet.nsw.gov.au/. Survey site level data is available in a machine readable form via the BioNet OData Web Service https://data.bionet.nsw.gov.au/. That data service is delivered to SEED where it is rendered as a Web Map Service. Further detail is available from http://www.environment.nsw.gov.au/research/VISplot.htm. This data collection includes over 100,000 survey plots, that are generally compatible with standard vegetation survey methodologies outlined in the NSW Native Vegetation Interim Type Standard http://www.environment.nsw.gov.au/resources/nativeveg/10060nvinttypestand.pdf. The Type Standard and application accommodate a range of data types from various surveys, including: 1. full floristic survey data associated with vegetation classification and mapping; 2. rapid survey sites associated with field validation and vegetation type mapping; and 3. land-use data associated with the Monitoring Evaluation and Reporting Program (MER) Vegetation Condition site assessment. Species records in the Flora Survey Data Collection are also queried through the species sightings searches in BioNet-Atlas. Data in BioNet is made available in accordance with OEH's Sensitive Species Data Policy http://www.environment.nsw.gov.au/policiesandguidelines/SensitiveSpeciesPolicy.htm. For species categorised as "sensitive", location information may be withheld depending on the species' status under the policy, and on the access rights of the user. Records in BioNet are not guaranteed to be free from error or omission.

The BioNet Vegetation Map Data Collection is a catalogue of all available NSW vegetation type maps including Standardised products from the State vegetation Type Mapping Program, and non-standardised historic and contemporary maps. Each map stored in the catalogue is assigned a unique VIS (Vegetation Information System) identification number. This map catalogue contains: geographical information system (GIS) data; metadata, including technical reports; images of cartographic map products; and web map services, where available. For more information see http://www.environment.nsw.gov.au/research/VISmap.htm. There are over 680 native vegetation type maps available. All vegetation maps in this collection are available as individual data records in the SEED environmental data portal. For GIS data downloads for these individual vegetation maps go to the individual record in SEED. A combined map footprint layer can be downloaded here as a resource from this metadata record to assist GIS users in selecting maps. This footprint layer will eventually be removed once all individual vegetation maps in SEED have individual web map services created allowing them to be viewed in the SEED map viewer. The data collection includes State Vegetation Type Maps produced by the State Vegetation Type Mapping Program. For more detail on the Program see http://www.environment.nsw.gov.au/vegetation/state-vegetation-type-map.htm . You can search for maps produced under this Program by entering the search term "SVTM" in to the SEED search window.

This is a dataset of the NSW BioNet Flora Survey Data Collection that is maintained via the Flora Survey Module of the NSW BioNet Atlas application. This collection is a central, authoritative database for systematic vegetation survey data in NSW. This dataset includes full floristic survey sites that have been allocated to PCTs through the quantitative classification method outlined in A revised classification of plant communities of eastern New South Wales (DPE 2022). https://environment.nsw.gov.au/research-and-publications/publications-search/a-revised-classification-of-plant-communities-of-eastern-new-south-wales. As such these sites are reference sites for quantitative PCTs. Access The full datasets (sites and species) may be accessed via the BioNetAtlas application http://www.BioNet.nsw.gov.au/. Site-level data (without species) is available in a machine readable form via the BioNet OData Web Service https://data.bionet.nsw.gov.au/. That OData data service is delivered to SEED where it is rendered as a map layer (i.e. Web Map Service). You may also query and extract simplified data from SEED Map View – this video explains How to access BioNet systematic flora survey plot data using the SEED portal. https://vimeo.com/455328331. Data in BioNet is made available in accordance with DPE's Sensitive Species Data Policy https://www.environment.nsw.gov.au/topics/animals-and-plants/wildlife-management/wildlife-policies-and-guidelines/sensitive-species-data. For species categorised as "sensitive", location information may be withheld depending on the species' status under the policy, and on the access rights of the user. Records in BioNet are not guaranteed to be free from error or omission.

The NSW BioNet Species Sightings data collection includes flora and fauna records maintained in the Species Sightings module of the NSW BioNet-Atlas application, at the Office of Environment and Heritage (OEH). This BioNet data collection consists of over 13 million observation records sourced from incidental sightings and systematic flora and fauna surveys. Observations include plants, mammals, birds, reptiles, amphibians, some fungi and invertebrates (such as insects and snails listed under the Threatened Species Conservation Act) and some fish. The BioNet Species Sightings data collection covers all areas of NSW and also includes some records from neighbouring states. BioNet includes records from agencies and organisations other than OEH, such as the Royal Botanic Gardens, Forests NSW, the Australian Museum and the Australian Bird and Bat Banding Scheme. ACCESS: The Species Sightings data collection can be accessed via the BioNet application http://www.BioNet.nsw.gov.au/ or BioNet Species Sighting Web Service (an Open API) https://data.bionet.nsw.gov.au/ The BioNet-Atlas application comprises a number of data collections including: 1. Species sightings; 2. Systematic Flora and Fauna Survey; 3. Species Names List; and 4. Threatened Entity Profiles (i.e. Species/population/ecological community profiles). A BioNet-Atlas Species Search will return relevant records from both the sightings and survey modules. Each record contains details including species name, information about the source of the record, geographic coordinates, accuracy of the coordinates and date of the sighting. BioNet Species Sighting data is made available in accordance with OEH's Sensitive Species Data Policy http://www.environment.nsw.gov.au/policiesandguidelines/SensitiveSpeciesPolicy.htm; for species categorised as "sensitive", location information may be generalised or withheld depending on the species' status under the policy, and on the access rights of the user.

The NSW Vegetation Information System (VIS) is being established to provide the NSW Government, its clients and community with a central authoritative repository for native vegetation data. The NSW VIS Plant Community Type Classification (VIS Classification Database) establishes a NSW Master Plant Community Type as focal point for both vegetation type mapping and regulatory assessment processes. The VIS Classification database stores a broad range of data related to the individual Plant Community Types (PCTs), including: • the NSW Master Plant Community Type Classification, including approximately 1,500 plant community types identified across NSW • scientific descriptions, and ecological and conservation profiles, of each plant community type; and • related regulatory data including: Over-cleared BioMetric Vegetation Types, BioMetric Condition Benchmarks and Over-cleared BioMetric Landscapes. • The NSW VIS Classification Database does not store spatial information or flora survey information for the plant community types.

The files linked to this reference are the geospatial data created as part of the completion of the baseline vegetation inventory project for the NPS park unit. Current format is ArcGIS file geodatabase but older formats may exist as shapefiles. Instrumental to the photo interpretive effort was the use of the GPS located vegetation plots collected by the field crew. These plots provided an idea of what the signatures of the individual map units should look like. In addition to the tablular data associated with each vegetation plot were five photographs collected at each plot. These photographs helped not only in identifying the immediate area but also provided us with a “look” at the areas surrounding the vegetation plot which might be a different map unit. These photographs may be “hyperlinked” within ArcMap to the salient vegetation observation point for a better concept of on the ground conditions.All interpreted mylar layers were scanned at 300 dpi. Each scanned mylar was then rectified to the NAIP base layer using recognizable ground features as registration points. The resulting scan produced a raster image that was subsequently vectorized. Each vectorized output was then extensively edited to produce clean digital vector lines. From the digitized vectors we created polygons by building topology in the GIS program. Finally, we created labels for each polygon and used these to add the attribute information. Attribution for all the polygons at CHIC included information pertaining to map units, NVC associations, Anderson land-use classes, and other relevant data. Attribute data were taken directly from the interpreted photos or were added later using the orthophotos as a guide.

The files linked to this reference are the geospatial data created as part of the completion of the baseline vegetation inventory project for the NPS park unit. Current format is ArcGIS file geodatabase but older formats may exist as shapefiles. We followed methods in Anderson and Merrill (1998) for combining gradient layers into an “ecological land units” map (also referred to as a “biophysical units” map). Our goal was to use this information to create sampling strata that capture the range of environments observed. The Anderson and Merrill (1998) method (implemented as a set of GIS scripts by F. Biasi (2001)) builds an ecological units map by classifying and combining individual environmental gradient maps in a GIS. Maps of aspect, moisture, slope, and slope shape are reclassified and assembled to produce maps of landform units. These landform units are then combined with reclassified elevation and geologic maps to produce a final ecological land units or “ELU” map. We used these methods as a guide to building an ecological land units map for Shenandoah National Park, adapting the procedures for local conditions. Individual steps in the process and maps resulting from intermediate and final stages are described in the report.

The files linked to this reference are the geospatial data created as part of the completion of the baseline vegetation inventory project for the NPS park unit. Current format is ArcGIS file geodatabase but older formats may exist as shapefiles. We followed methods in Anderson and Merrill (1998) for combining gradient layers into an “ecological land units” map (also referred to as a “biophysical units” map). Our goal was to use this information to create sampling strata that capture the range of environments observed. The Anderson and Merrill (1998) method (implemented as a set of GIS scripts by F. Biasi (2001)) builds an ecological units map by classifying and combining individual environmental gradient maps in a GIS. Maps of aspect, moisture, slope, and slope shape are reclassified and assembled to produce maps of landform units. These landform units are then combined with reclassified elevation and geologic maps to produce a final ecological land units or “ELU” map. We used these methods as a guide to building an ecological land units map for Shenandoah National Park, adapting the procedures for local conditions. Individual steps in the process and maps resulting from intermediate and final stages are described in the report.

The files linked to this reference are the geospatial data created as part of the completion of the baseline vegetation inventory project for the NPS park unit. Current format is ArcGIS file geodatabase but older formats may exist as shapefiles. Mapping was conducted using a combination of aerial photointerpretation and field delineation using a Trimble ProXR GPS with a TSCe datalogger/display unit. This device, running TerraSync software, was extremely useful during the multiple visits because it allowed us to view and verify existing data while collecting new information. Since Weir Farm is a relatively small site, walking the perimeter of each vegetation type with a GPS unit delineated most mapping polygons. Other polygons, such as the Northeastern Buttonbush Shrub Swamp and the mountain laurel variants of several of the upland forests, were determined by the photointerpretation of the 2001 DEP black and white aerial photos (1:12,000). Lines were drawn. on acetate overlays on the photos and then screen-digitized in ArcView 3x. This combination of field-collected lines and interpreted polygons was converted into the final map.

The files linked to this reference are the geospatial data created as part of the completion of the baseline vegetation inventory project for the NPS park unit. Current format is ArcGIS file geodatabase but older formats may exist as shapefiles. Mapping was conducted using a combination of aerial photointerpretation and field delineation using a Trimble ProXR GPS with a TSCe datalogger/display unit. This device, running TerraSync software, was extremely useful during the multiple visits because it allowed us to view and verify existing data while collecting new information. Since Weir Farm is a relatively small site, walking the perimeter of each vegetation type with a GPS unit delineated most mapping polygons. Other polygons, such as the Northeastern Buttonbush Shrub Swamp and the mountain laurel variants of several of the upland forests, were determined by the photointerpretation of the 2001 DEP black and white aerial photos (1:12,000). Lines were drawn. on acetate overlays on the photos and then screen-digitized in ArcView 3x. This combination of field-collected lines and interpreted polygons was converted into the final map.