USFWS - Ruby Lake National Wildlife Refuge - Vegetation Mapping Survey - 2012-2013

Occurrence
Latest version published by United States Fish and Wildlife Service on Jan 4, 2023 United States Fish and Wildlife Service

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Description

Locations of 577 plant occurrences (54 unique taxa) from the US Fish and Wildlife Service Ruby Lake National Wildlife Refuge Vegetation Mapping Survey for 2012-2013, carried out in collaboration with University of Nevada - Reno.

Data Records

The data in this occurrence resource has been published as a Darwin Core Archive (DwC-A), which is a standardized format for sharing biodiversity data as a set of one or more data tables. The core data table contains 577 records.

This IPT archives the data and thus serves as the data repository. The data and resource metadata are available for download in the downloads section. The versions table lists other versions of the resource that have been made publicly available and allows tracking changes made to the resource over time.

Versions

The table below shows only published versions of the resource that are publicly accessible.

How to cite

Researchers should cite this work as follows:

Keller K (2022): USFWS - Ruby Lake National Wildlife Refuge - Vegetation Mapping Survey - 2012-2013. v1.2. United States Fish and Wildlife Service. Dataset/Occurrence. https://bison.usgs.gov/ipt/resource?r=usfws_ruby_lake_nwr_vegetation_mapping_survey&v=1.2

Rights

Researchers should respect the following rights statement:

The publisher and rights holder of this work is United States Fish and Wildlife Service. To the extent possible under law, the publisher has waived all rights to these data and has dedicated them to the Public Domain (CC0 1.0). Users may copy, modify, distribute and use the work, including for commercial purposes, without restriction.

GBIF Registration

This resource has been registered with GBIF, and assigned the following GBIF UUID: b1c0c801-1758-408d-aebd-777cbc1dfac7.  United States Fish and Wildlife Service publishes this resource, and is itself registered in GBIF as a data publisher endorsed by U.S. Geological Survey.

Keywords

Occurrence; vegetation survey; Metadata

External data

The resource data is also available in other formats

U.S. Fish and Wildlife Service Catalog https://ecos.fws.gov/ServCat/Reference/Profile/62884 utf-8 pdf

Contacts

Kaylene Keller
  • Content Provider
Inventory and Monitoring Coordinator
US Fish & Wildlife Service
Pacific Southwest Region – Refuges DOI Unified Regions 8 & 10 2800 Cottage Way, Suite W-2606
95825 Sacramento
California
US
Annie Simpson
  • Publisher
Biologist and Information Scientist
United States Geological Survey (USGS)
12201 Sunrise Valley Drive, Mailstop 302
20192 Reston
Virginia
US
+1 703-648-4281
Kaylene Keller
  • Content Provider
GIS and Data Manager I & M
US Fish & Wildlife Service
3020 State University Drive, East Modoc Hall Suite 2007
95819 Sacramento
California
US
+1 916-278-9419
Annie Simpson
  • Publisher
biologist and information scientist
U.S. Geological Survey
12201 Sunrise Valley Dr, Mailstop 302
20192 Reston
Virginia
US
+1 703 648 4281

Geographic Coverage

USFWS Ruby Lake National Wildlife Refuge: -115.53 to -115.39 longitude; 40.05 to 40.29 latitude.

Bounding Coordinates South West [40.05, -115.53], North East [40.29, -115.39]

Taxonomic Coverage

54 plant taxa; 53 species, 1 subspecies.

Species Achillea millefolium, Achnatherum hymenoides, Agoseris glauca, Agropyron cristatum, Allium atrorubens, Alyssum desertorum, Argemone munita, Artemisia nova, Artemisia tridentata, Astragalus argophyllus, Astragalus calycosus, Astragalus purshii, Atriplex confertifolia, Atriplex gardneri, Atriplex micrantha, Atriplex truncata, Bassia hyssopifolia, Bromus tectorum, Carex praegracilis, Carex utriculata, Castilleja angustifolia, Caulanthus crassicaulis, Chrysothamnus viscidiflorus, Cirsium scariosum, Crepis runcinata, Descurainia sophia, Distichlis spicata, Eleocharis macrostachya, Elymus elymoides, Ericameria nauseosa, Erigeron lonchophyllus, Halogeton glomeratus, Hordeum jubatum, Juncus balticus, Juniperus osteosperma, Leymus cinereus, Leymus triticoides, Nitrophila occidentalis, Phlox hoodii, Poa secunda, Potentilla anserina, Pseudoroegneria spicata, Puccinellia lemmonii, Sarcobatus vermiculatus, Schoenoplectus acutus, Sonchus arvensis, Spartina gracilis, Suaeda occidentalis, Tetradymia canescens, Tetradymia spinosa, Thinopyrum intermedium, Tragopogon dubius, Triglochin maritima
Subspecies Calamagrostis stricta ssp. Inexpansa

Temporal Coverage

Start Date / End Date 2012-07-10 / 2013-07-13

Project Data

The Ruby Lake National Wildlife Refuge (NWR) vegetation mapping project was conducted by the US Fish & Wildlife Service Pacific Southwest Region, National Wildlife Refuge System. The project was a collaboration between the Conservation Planning and Policy Branch and the Inventory and Monitoring program within the Division of Natural Resources, Ruby Lake NWR staff and the University of Nevada, Reno. The purpose of the project was to test field methods to classify the vegetation at Ruby Lake NWR and create a map to provide baseline vegetation information to the resource managers.

Title U.S. Fish and Wildlife Service - Ruby Lake National Wildlife Refuge - Vegetation Mapping Survey - 2012-2013
Identifier https://ecos.fws.gov/ServCat/Reference/Profile/62884
Funding USFWS Refuge Planning and the Inventory and Monitoring Program
Study Area Description see: https://ecos.fws.gov/ServCat/DownloadFile/166789
Design Description This vegetation dataset was produced through interpretation of multiple datasets, assisted by field data and site visits. The primary dataset utilized is NAIP orthoimagery from August of 2013. The NAIP imagery was combined with several addition derived products. These included a Normalized Difference Vegetation Index and a texture layer, derived from the NAIP imagery, as well as a digital elevation model and a canopy height model, both created from a LiDAR dataset acquired over the refuge in 2009. All of these inputs were stacked in one layer with a consistent pixel size and coordinate system and then analyzed using the RandomForest tool in R software. This tool uses a data mining approach with multiple decision trees to find patterns in the data. The tool is trained with known landcover types provided by the GIS analyst. In addition to using the RandomForest algorithm, the NAIP imagery was also divided into segments using eCognition Developer software. The pixel-based output from the RandomForest analysis was then converted to polygons by using a Majority zonal statistics in ArcMap. Note that the RandomForest analysis was run several times before an acceptable level of accuracy was reached. Following conversion to polygons, additional manual edits were made to problem areas and in specific areas, again in an effort to improve the overall accuracy of the product. An independent collection of over 400 ground control points was used in the validation and the overall accuracy was found to be 86%.

The personnel involved in the project:

Kaylene Keller
  • Content Provider

Additional Metadata

Unique identifiers for each record was generated during data cleaning by combining dataset name, ordinal number of the record, and unique site ID values. County values were derived and included during data cleaning. StateProvince values were derived and included during data cleaning. Species names were updated according to the GBIF taxonomic backbone during data cleaning. Some field names were modified according to Darwin Core / IPT terms during data cleaning.