Information about different biosite areas across the Geelong region. Each site has unique flora and fauna associated plus other relevant attributes. >Although all due care has been taken to ensure that these data are correct, no warranty is expressed or implied by the City of Greater Geelong in their use.

Get data on provincially tracked species locations generalized to a 1km by 1km grid. This spatial dataset contains generalized location data for: * species of conservation concern (including species at risk) * plant communities * wildlife concentration areas. The data includes a spatial layer and related table. We recommend using the geodatabase, as the relationship between the spatial layer and its table is built in. If you prefer another format, the ‘complete shapefile’ download is the only option that includes the spatial layer and its related table in one package. This data can be used to identify species or ecological communities on or near your property or project site.

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. The enormous size of the BIBE project area warranted the use of a modified or hybrid mapping approach. Early discussions determined the need to have an approach that included a coarse-level automated or machine-logic image processing stage and a fine-level stage that included vegetation signature interpretation and manual polygon delineation. Based on similar mapping work done by CTI in other desert environments, the automated stage would use multiresolution image segmentation routines to capture high contrast landforms and drainage/wash features, greatly reducing the time needed to delineate these by hand. The second phase would build off these segmented polygons to delineate the fine-level plant alliance/association based map units. For BIBE, 72 map units (62 vegetated and 10 land-use/land-cover) were developed. The final list of map classes/units was directly cross-walked or matched to corresponding plant associations and land use classes. BIBE map classes represent a compromise between the detail of the rUSNVC, new types found in the park (not currently in the rUSNVC), the needs of the resource management staff (e.g. detailed mapping of riparian, wetland, and non-native types), and the limitations of the imagery. An effort was made to crosswalk the final list of map classes/units to corresponding plant associations/alliances and land use classes. When a direct rUSNVC link to an association was not feasible, broader alliances or descriptive local map units (park specials) were created. In addition, some of the more widespread associations occurred across multiple map units.

These data were generated by the work of many different field crews (2011-2024) who visited each unit each year collecting information on the condition of selected resources (Vital Signs). The data collection was guided by established methods and detailed protocols including: paired (2) 50-m line-point intercept transects for abundance; 10, 1-m2 quadrats for species diversity; 314-m2 circular plots for small diameter woody species (shrubs, seedlings and saplings); and 314-m2 or 1000-m2 for trees greater than 2.5-cm at 1-meter above the ground (1-inch at breast-height). The purpose of these data is to inform park staff, planners, administrators, partners and the public with quantitative records of the composition and abundance of vegetation in National Park Units. These data were carefully collected using precise methods, careful documentation, and multiple quality control steps. Species names and codes were cross-referenced to the USDA “Plants” database authority. Rare and unknown species were collected and verified by staff of the Wyoming Natural Diversity Database, University of Wyoming. These data are working files used to guide and inform park managers who make decisions about conservation and management of habitats and resources of the park based on desired conditions of resources. These data are provided as one key piece of evidence to support management of vegetation, fuels and habitats. No claims are made, legal or otherwise, regarding the accuracy, precision and utility of these data. Many people deserve credit for these data who cannot be named here, but also recognized are: Kara Paintner, Isabel Ashton, and Joan Jackson. The Northern Great Plains Network (NGPN) is part of the NPS Inventory and Monitoring Division (IMD). We provide scientific support, data and interpretation related to resource conditions in park units within the Network in support of the National Park Service Organic Act and the National Parks Omnibus Management Act (Title II, Section 204 – Inventory and Monitoring Program). The NGPN network includes 13 NPS units: Fort Union NHS, Theodore Roosevelt NP, Knife River Indian Villages NHS, Devils Tower NM, Jewel Cave NM, Mount Rushmore NMEM, Badlands NP, Wind Cave NP, Fort Laramie NHS, Agate Fossil Beds NM, Scotts Bluff NM, Missouri NRR, and Niobrara NSR.

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. Random sample points were generated in ArcGIS. Points were buffered 40 meters from the park boundary and 80 meters from another point. The minimum mapping unit used in delineating vegetation polygons was 0.5 hectare. All random points were selected within the park boundary to avoid any private land issues. Randomly selected site locations were loaded onto a Garmin GPS unit for field navigation. All accuracy assessment field work was completed on June 26, 2012. Field staff was provided with a GPS unit, dichotomous key for mapping vegetation map classes and vegetation class definitions. Plot shape and size varied according to the extent of the vegetation class patch containing the sample point. Circular 0.25 hectare (28 m radius) plots were used for larger patches while circular 0.1 hectare (18 m radius) plots were used for small patches approaching the minimum mapping unit. A circular plot size of 0.5 hectare (40 m radius) was used to capture information for a single large homogenous patch. In all cases, plot size exceeded the minimum patch size for PIPE. Minimum Mapping Unit = 0.5 hectare Minimum Patch Size=.007 hectares Total Size = 55 Polygons Average Polygon Size = 5.39 acres (2.18 hectares) Overall Thematic Accuracy = 97.9% Project Completion Date: 12/2013

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. GRBA’s spatial database and map layer was produced from high-resolution 2007 Digital Map, Inc. imagery provided to CTI by the NPS. By comparing the signatures on the imagery to field and ground data, 64 map units (48 vegetated, four barren geology and snow, and 12 land-use / land-cover) were developed and the vegetation map units were directly cross-walked or matched to their corresponding rUSNVC plant associations. The interpreted and remotely sensed data were converted to Geographic Information System (GIS) spatial geodatabases and maps were printed, field tested, reviewed, and revised.

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. Ultimately, we developed a geodatabase containing four feature classes: vegetation points (containing vegetation sample points and AA sites), vegetation and land use polygons (showing locations of vegetation types and general land features), 1:12,000-scale CIR aerial photograph centers, and project boundary extent. Included in the geodatabase are several tables providing a suite of supporting information, from classification crosswalks to detailed sampling data. All geospatial products are projected in the Universal Transverse Mercator (UTM), Zone 16, using the North American Datum of 1983 (NAD83).