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.
Enregistrements de données
Les données de cette ressource occurrence ont été publiées sous forme d'une Archive Darwin Core (Darwin Core Archive ou DwC-A), le format standard pour partager des données de biodiversité en tant qu'ensemble d'un ou plusieurs tableurs de données. Le tableur de données du cœur de standard (core) contient 577 enregistrements.
Cet IPT archive les données et sert donc de dépôt de données. Les données et métadonnées de la ressource sont disponibles pour téléchargement dans la section téléchargements. Le tableau des versions liste les autres versions de chaque ressource rendues disponibles de façon publique et permet de tracer les modifications apportées à la ressource au fil du temps.
Versions
Le tableau ci-dessous n'affiche que les versions publiées de la ressource accessibles publiquement.
Comment citer
Les chercheurs doivent citer cette ressource comme suit:
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
Droits
Les chercheurs doivent respecter la déclaration de droits suivante:
L’éditeur et détenteur des droits de cette ressource est United States Fish and Wildlife Service. En vertu de la loi, l'éditeur a abandonné ses droits par rapport à ces données et les a dédié au Domaine Public (CC0 1.0). Les utilisateurs peuvent copier, modifier, distribuer et utiliser ces travaux, incluant des utilisations commerciales, sans aucune restriction.
Enregistrement GBIF
Cette ressource a été enregistrée sur le portail GBIF, et possède l'UUID GBIF suivante : b1c0c801-1758-408d-aebd-777cbc1dfac7. United States Fish and Wildlife Service publie cette ressource, et est enregistré dans le GBIF comme éditeur de données avec l'approbation du GBIF-US.
Mots-clé
Occurrence; vegetation survey; Metadata
Données externes
Les données de la ressource sont disponibles dans d'autres formats
| U.S. Fish and Wildlife Service Catalog | https://ecos.fws.gov/ServCat/Reference/Profile/62884 utf-8 pdf |
|---|
Contacts
- Fournisseur De Contenu
- Inventory and Monitoring Coordinator
- Pacific Southwest Region – Refuges DOI Unified Regions 8 & 10 2800 Cottage Way, Suite W-2606
- Publicateur
- Biologist and Information Scientist
- 12201 Sunrise Valley Drive, Mailstop 302
- +1 703-648-4281
- Fournisseur De Contenu
- GIS and Data Manager I & M
- 3020 State University Drive, East Modoc Hall Suite 2007
- +1 916-278-9419
- Publicateur
- biologist and information scientist
- 12201 Sunrise Valley Dr, Mailstop 302
- +1 703 648 4281
http://orcid.org/0000-0001-8338-5134
Couverture géographique
USFWS Ruby Lake National Wildlife Refuge: -115.53 to -115.39 longitude; 40.05 to 40.29 latitude.
| Enveloppe géographique | Sud Ouest [40,05, -115,53], Nord Est [40,29, -115,39] |
|---|
Couverture taxonomique
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 |
Couverture temporelle
| Date de début / Date de fin | 2012-07-10 / 2013-07-13 |
|---|
Données sur le projet
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.
| Titre | U.S. Fish and Wildlife Service - Ruby Lake National Wildlife Refuge - Vegetation Mapping Survey - 2012-2013 |
|---|---|
| Identifiant | https://ecos.fws.gov/ServCat/Reference/Profile/62884 |
| Financement | USFWS Refuge Planning and the Inventory and Monitoring Program |
| Description du domaine d'étude / de recherche | see: https://ecos.fws.gov/ServCat/DownloadFile/166789 |
| Description du design | 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%. |
Les personnes impliquées dans le projet:
- Fournisseur De Contenu
Métadonnées additionnelles
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.
| Identifiants alternatifs | b1c0c801-1758-408d-aebd-777cbc1dfac7 |
|---|---|
| https://doi.org/10.15468/p3sdpu | |
| https://bison.usgs.gov/ipt/resource?r=usfws_ruby_lake_nwr_vegetation_mapping_survey |