Descripción
To maintain biological integrity, biological diversity, and native fish resources in Kenai Peninsula freshwater systems, we surveyed for invasive elodea in Kenai Peninsula lakes using rakethrow surveys.
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 476 registros.
también existen 2 tablas de datos de extensiones. Un registro en una extensión provee información adicional sobre un registro en el core. El número de registros en cada tabla de datos de la extensión se ilustra a continuación.
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.
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: bb398390-d071-4e6b-aa2e-e69709d620fb. 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; Observation
Contactos
- Proveedor De Los Metadatos ●
- Originador ●
- Punto De Contacto
- Fish and Wildlife Biologist
https://orcid.org/0000-0003-4879-3997
- AssociatedParty ●
- Originador ●
- Punto De Contacto
- Supervisory Biologist
- Originador
- Biological Technician
- Originador
- Biological Technician
- Originador
- Volunteer
- PO Box 2139
- Originador
- Wildlife Biologist/Pilot
- Originador
- Student Conservation Association Crew
- PO Box 2139
- Originador
- Biological Intern
- Originador
- Volunteer
- PO Box 2139
- Originador
- Youth Conservation Corp Crew Leader
Cobertura geográfica
The geographic extent included freshwater lakes in the vicinity of the Kenai National Wildlife Refuge, Kenai Peninsula, Alaska, USA.
| Coordenadas límite | Latitud Mínima Longitud Mínima [59,131, -151,611], Latitud Máxima Longitud Máxima [61,09, -149,348] |
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Cobertura taxonómica
We surveyed for non-native plants, especially Elodea.
| Reino | Plantae (plants) |
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Cobertura temporal
| Fecha Inicial / Fecha Final | 2023-06-27 / 2023-09-22 |
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Datos del proyecto
No hay descripción disponible
| Título | Kenai National Wildlife Refuge Aquatic Invasive Species Surveys |
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| Identificador | https://ecos.fws.gov/ServCat/Reference/Profile/149924 |
| Fuentes de Financiación | This work was funded by National Wildlife Refuge System Strike Team Funds. |
| Descripción del área de estudio | The Study area was much of the northwestern Kenai Peninsula where most of the Kenai National Wildlife Refuge is situated, bounded by Tustumena Lake to the south, Cook Inlet to the west, Turnagain Arm to the north, and the Kenai Mountains to the east. This area is characterized by mixed boreal forest, wetlands, lakes, and streams. This region was described in detail by Kenai National Wildlife Refuge and US Fish & Wildlife Service, Alaska Regional Office, Division of Conservation Planning & Policy (2010). |
Personas asociadas al proyecto:
- Autor
- Autor
- Autor
- Autor
- Autor
Métodos de muestreo
We selected 23 lakes to survey for elodea in 2023, mostly basing our selections on the prioritization of the Alaska Department of Fish and Game’s Invasive Species Lake Prioritization (Alaska Department of Fish and Game, 2022). We also took into account recent pike surveys, avoiding lakes that had been surveyed for pike in the last 10 years or where surveys are planned for 2024. We collaboratively planned with our partners, openly sharing our survey schedule. We sought to keep the number of sites sampled per lake to between 30 and 60 sampling locations per lake. We related the range of lake perimeters in our study area to this range of sample sizes with the linear formula n = mp + b, where where n was the sample size, m was 2.4 km-1, p was the perimeter in km, and b was 27. This resulted in a range of sample sizes of 30 to 63 sampling locations per lake. To select sampling points we used a Quarto document that called R, version 4.2.3 (R Core Team, 2023) and used the R packages lwgeom, version 0.2-13 (Pebesma, 2023) and sf, version 1.0-12 (Pebesma, 2018; Pebesma and Bivand, 2023). We divided the lake perimeters into segments, one segment corresponding to a target sampling location in each lake. Our rake throw survey methods were similar to the examples of Fulkerson (2022a) and Fulkerson (2022b).
| Área de Estudio | Our target universe was the set of all waterbodies in the study area susceptible to invasion by non-native plants, particularly elodea. Our initial sample frame was the set of lakes in the vicinity of the Kenai National Wildlife Refuge. We considered individual lakes to be the sampling units. |
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Descripción de la metodología paso a paso:
- Within each pre-determined lake segment, we selected a location where elodea would be most likely to occur based on our previous experience surveying for elodea on the Kenai Peninsula. Within the larger segments, we selected protected bays and avoided exposed points. We positioned our boat off of shore, usually a little farther from shore than the limit of dense emergent vegetation, often in about 1–2 m water depth.
- From the selected point the two observers threw the two rakes perpendicular to the shoreline: one rake thrown toward shore and the other out toward the center of the lake. After allowing the rakes to contact the bottom, both observers slowly and simultaneously pulled in the rakes, dragging them over the substrate. The rakes were carefully brought onto the boat, photographed, and the presence or absence of elodea was recorded. We also recorded depth, substrate types, and the presence of other aquatic plant species.
Referencias bibliográficas
- Alaska Department of Fish and Game (2022) Alaska invasive species lake prioritization. Alaska Department of Fish and Game. https://experience.arcgis.com/experience/41a6f3a3f35f4e0fae52f9c5a0c2fbd2/ https://experience.arcgis.com/experience/41a6f3a3f35f4e0fae52f9c5a0c2fbd2/
- Kenai National Wildlife Refuge & US Fish & Wildlife Service, Alaska Regional Office, Division of Conservation Planning & Policy (2010) Comprehensive Conservation Plan: Kenai National Wildlife Refuge. Anchorage, Alaska: U.S. Fish & Wildlife Service. https://ecos.fws.gov/ServCat/Reference/Profile/149784 https://ecos.fws.gov/ServCat/Reference/Profile/149784
- Fulkerson JR (2022a) Aquatic Plant and Elodea Survey in Chugach National Forest: 2021 Survey Results. Anchorage, Alaska: Alaska Center for Conservation Science, University of Alaska Anchorage, pp. 26 + appendix.
- Fulkerson JR (2022b) Aquatic Plant and Elodea Survey in Chugach National Forest: 2022 Survey Results. Anchorage, Alaska: Alaska Center for Conservation Science, University of Alaska Anchorage, pp. 21 + appendix.
- Pebesma E (2018) Simple features for R: Standardized support for spatial vector data, The R Journal, 10(1), pp. 439–446. https://doi.org/10.32614/RJ-2018-009. https://doi.org/10.32614/RJ-2018-009
- Pebesma E (2023) lwgeom: Bindings to selected ’liblwgeom’ functions for simple features. https://CRAN.R-project.org/package=lwgeom. https://CRAN.R-project.org/package=lwgeom
- Pebesma E & Bivand R (2023) Spatial data science: With applications in R. Chapman and Hall/CRC, p. 352. https://r-spatial.org/book/. https://r-spatial.org/book/
- R Core Team (2023) R: A language and environment for statistical computing. Vienna, Austria: R Foundation for Statistical Computing. https://www.R-project.org/. https://www.R-project.org/
Metadatos adicionales
| Identificadores alternativos | bb398390-d071-4e6b-aa2e-e69709d620fb |
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| https://ipt.gbif.us/resource?r=kenai-national-wildlife-refuge-aquatic-invasive-plant-surveys |