Descripción
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.
Registros
Los datos en este recurso de registros biológicos han sido publicados como Archivo Darwin Core(DwC-A), el cual es un formato estándar para compartir datos de biodiversidad como un conjunto de una o más tablas de datos. La tabla de datos del core contiene 577 registros.
Este IPT archiva los datos y, por lo tanto, sirve como repositorio de datos. Los datos y los metadatos del recurso están disponibles para su descarga en la sección descargas. La tabla versiones enumera otras versiones del recurso que se han puesto a disposición del público y permite seguir los cambios realizados en el recurso a lo largo del tiempo.
Versiones
La siguiente tabla muestra sólo las versiones publicadas del recurso que son de acceso público.
¿Cómo referenciar?
Los usuarios deben citar este trabajo de la siguiente manera:
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
Derechos
Los usuarios deben respetar los siguientes derechos de uso:
El publicador y propietario de los derechos de este trabajo es United States Fish and Wildlife Service. En la medida de lo posible según la ley, el publicador ha renunciado a todos los derechos sobre estos datos y los ha dedicado al Dominio público (CC0 1.0). Los usuarios pueden copiar, modificar, distribuir y utilizar la obra, incluso con fines comerciales, sin restricciones.
Registro GBIF
Este recurso ha sido registrado en GBIF con el siguiente UUID: b1c0c801-1758-408d-aebd-777cbc1dfac7. United States Fish and Wildlife Service publica este recurso y está registrado en GBIF como un publicador de datos avalado por GBIF-US.
Palabras clave
Occurrence; vegetation survey; Metadata
Datos externos
Los datos del recurso también están disponibles en otros formatos
| U.S. Fish and Wildlife Service Catalog | https://ecos.fws.gov/ServCat/Reference/Profile/62884 utf-8 pdf |
|---|
Contactos
- Proveedor De Contenido
- Inventory and Monitoring Coordinator
- Pacific Southwest Region – Refuges DOI Unified Regions 8 & 10 2800 Cottage Way, Suite W-2606
- Publicador
- Biologist and Information Scientist
- 12201 Sunrise Valley Drive, Mailstop 302
- +1 703-648-4281
- Proveedor De Contenido
- GIS and Data Manager I & M
- 3020 State University Drive, East Modoc Hall Suite 2007
- +1 916-278-9419
- Publicador
- biologist and information scientist
- 12201 Sunrise Valley Dr, Mailstop 302
- +1 703 648 4281
http://orcid.org/0000-0001-8338-5134
Cobertura geográfica
USFWS Ruby Lake National Wildlife Refuge: -115.53 to -115.39 longitude; 40.05 to 40.29 latitude.
| Coordenadas límite | Latitud Mínima Longitud Mínima [40,05, -115,53], Latitud Máxima Longitud Máxima [40,29, -115,39] |
|---|
Cobertura taxonómica
54 plant taxa; 53 species, 1 subspecies.
| Especie | 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 |
|---|---|
| Subespecie | Calamagrostis stricta ssp. Inexpansa |
Cobertura temporal
| Fecha Inicial / Fecha Final | 2012-07-10 / 2013-07-13 |
|---|
Datos del proyecto
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.
| Título | U.S. Fish and Wildlife Service - Ruby Lake National Wildlife Refuge - Vegetation Mapping Survey - 2012-2013 |
|---|---|
| Identificador | https://ecos.fws.gov/ServCat/Reference/Profile/62884 |
| Fuentes de Financiación | USFWS Refuge Planning and the Inventory and Monitoring Program |
| Descripción del área de estudio | see: https://ecos.fws.gov/ServCat/DownloadFile/166789 |
| Descripción del diseño | 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%. |
Personas asociadas al proyecto:
- Proveedor De Contenido
Metadatos adicionales
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.
| Identificadores alternativos | 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 |