NSW Bionet Vegetation Classification Data Collection
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The BioNet Vegetation Classification Data Collection maintained in the BioNet - Vegetation Classification application http://www.bionet.nsw.gov.au/. The Collection contains: the NSW vegetation community typology including Plant Community Types, NSW Vegetation Formations and Classes; NSW Vegetation Integrity (Benchmarks); and many other characteristics of NSW Plant Community Types (PCT). The PCT classification was developed in 2011 to establish an unambiguous master community-level classification for use in vegetation mapping programs, regulatory decisions, and as a standard typology for other planning and data gathering programs. With introduction of the NSW Biodiversity Conservation Act in October 2018 PCTs superseded BioMetric Vegetation Types as the NSW regulatory vegetation classification. For more information go to http://www.environment.nsw.gov.au/research/Visclassification.htm. ACCESS: The Vegetation Classification Data Collection can be accessed through the BioNet - Vegetation Classification application: http://www.environment.nsw.gov.au/NSWVCA20PRapp/LoginPR.aspx. or via the BioNet Vegetation Classification Web Service (an Open API) https://data.bionet.nsw.gov.au/ This Data Collection is maintained and improved on a regular basis, and is hence subject to change.
NSW BioNet Species Sightings Data Collection
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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.
Geospatial data for the Vegetation Mapping Inventory Project of Weir Farm National Historic Site
공공데이터포털
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.
Geospatial data for the Vegetation Mapping Inventory Project of Weir Farm National Historic Site
공공데이터포털
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.
NSW Bionet Threatened Biodiversity Profile Data Collection
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The Threatened Biodiversity Profile Data Collection (TE) is maintained in the NSW BioNet-Atlas database http://www.bionet.nsw.gov.au/, and includes profiles for threatened species, population and ecological communities that occur in NSW. The profiles contain detailed descriptions, photographs and information related to the distribution, habitat, ecology, threats and management priorities of each threatened entity. Specifically, Threatened Biodiversity Profiles are maintained for Critically Endangered, Endangered and Vulnerable species, Endangered Populations and Critically Endangered, Endangered and Vulnerable Ecological Communities and Key Threatening Processes that are listed in the Schedules of the NSW Threatened Species Conservation Act 1995 (TSC Act). Information on threatened entities that are listed on the Commonwealth Environment Protection and Biodiversity Conservation Act 1999 (EPBC Act) which occur in NSW is also included in the database. ACCESS: The Threatened Biodiversity Data Collection can been accessed through the OEH Threatened Species website (http://www.environment.nsw.gov.au/threatenedspecies/) or BioNet Threatened Biodiversity Web Service (an open API) https://data.bionet.nsw.gov.au/ The Threatened Entity Profile Data Collection contains essential information used for the assessment of likely impacts of development proposals on threatened entities and in determining the amount of habitat that can be lost and how much must be offset to achieve an “Improve or Maintain” outcome for the affected species, populations or ecological communities. Spatial Distribution information is maintained for each threatened entity within the Bionet-Atlas application. This has three main purposes. Firstly, it provides basic distribution map as displayed on the Threatened Species website. Secondly, this distribution information is used as the basis of validating new sighting records that are entered into the BioNet-Atlas application. Finally, the distribution recorded in BioNet is used for predicting the likely presence of threatened species at site location.
Geospatial data for the Vegetation Mapping Inventory Project of Chickasaw National Recreation Area
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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.
Geospatial data for the Vegetation Mapping Inventory Project of Chickasaw National Recreation Area
공공데이터포털
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.
Geospatial data for the Vegetation Mapping Inventory Project of Shenandoah National Park
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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.