Kenai National Wildlife Refuge Aquatic Invasive Plant Surveys - 2024 Survey Data

Registro biológico Observación
Última versión publicado por United States Fish and Wildlife Service el nov. 18, 2025 United States Fish and Wildlife Service

Descargue la última versión de los datos como un Archivo Darwin Core (DwC-A) o los metadatos como EML o RTF:

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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 478 registros.

también existen 1 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.

Occurrence (core)
478
MeasurementOrFacts 
447

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:

Bowser M, Artaiz S, Davis N, Farmer K, Magee J, Morassutti M, Stone M, Umholtz A, Watts D (2025). Kenai National Wildlife Refuge Aquatic Invasive Plant Surveys - 2024 Survey Data. Version 1.7. United States Fish and Wildlife Service. Occurrence dataset. https://ipt.gbif.us/resource?r=kenai-national-wildlife-refuge-aquatic-invasive-plant-surveys-2024-survey-data&v=1.7

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: a3030de7-23da-4767-86ed-544bfe43bd31.  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

Datos externos

Los datos del recurso también están disponibles en otros formatos

Kenai National Wildlife Refuge Aquatic Invasive Plant Surveys - 2024 Survey Data https://iris.fws.gov/APPS/ServCat/Reference/Profile/186395 UTF-8 Biotic Observation Minimum Specification for FWS Inventory and Monitoring Surveys
Kenai National Wildlife Refuge Aquatic Invasive Plant Surveys - 2024 Survey Data, raw csv data https://iris.fws.gov/APPS/ServCat/Reference/Profile/183795 UTF-8 csv
Kenai National Wildlife Refuge Aquatic Invasive Plant Surveys - 2024 Survey Data, geodatabase https://iris.fws.gov/APPS/ServCat/Reference/Profile/186396 UTF-8 file geodatabase

Contactos

Matthew Bowser
  • Originador
  • Punto De Contacto
  • Fish and Wildlife Biologist
USFWS Kenai National Wildlife Refuge
  • PO Box 2139
99669 Soldotna
Alaska
US
Sam Artaiz
  • Originador
  • Biological Technician
United States Fish and Wildlife Service, Kenai National Wildlife Refuge
  • PO Box 2139
99669 Soldotna
Alaska
US
Nathan Davis
  • Originador
  • Biological Technician
USFWS Kenai National Wildlife Refuge
  • PO Box 2139
99669 Soldotna
Alaska
US
Kennedy Farmer
  • Originador
  • Biological Technician
United States Fish and Wildlife Service, Kenai National Wildlife Refuge
  • PO Box 2139
99669 Soldotna
Alaska
US
Jim Magee
  • Originador
  • Volunteer
United States Fish and Wildlife Service, Kenai National Wildlife Refuge
99669 Soldotna
Alaska
US
Matthew Morassutti
  • Originador
  • Directorate Fellow
United States Fish and Wildlife Service, Kenai National Wildlife Refuge
99669 Soldotna
Alaska
US
Michael Stone
  • Originador
  • Biological Technician
United States Fish and Wildlife Service, Region 7, Southwest/Southcentral EDRR Project Team
99669 Soldotna
Alaska
US
Aurelia Umholtz
  • Originador
  • Biological Technician
United States Fish and Wildlife Service, Region 7, Southwest/Southcentral EDRR Project Team
99669 Soldotna
Alaska
US
Dominique Watts
  • Originador
  • Wildlife Biologist/Pilot
USFWS Kenai National Wildlife Refuge
  • PO Box 2139
99669 Soldotna
Alaska
US

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 [60,12, -151,1], Latitud Máxima Longitud Máxima [61, -150,3]

Cobertura taxonómica

We surveyed for all non-native freshwater plants that could occur in this area, but with a particular focus on northern elodea.

Género Elodea (waterweeds)

Cobertura temporal

Fecha Inicial / Fecha Final 2024-08-01 / 2024-09-27

Datos del proyecto

To maintain biological integrity, biological diversity, and native fish resources in Kenai Peninsula freshwater systems through detection and then eradication of potential populations of northern pike and elodea, we initiated a survey for northern pike and elodea in Kenai Peninsula lakes.

Título Kenai National Wildlife Refuge Aquatic Invasive Species Management (FF07RKNA00-085)
Identificador https://iris.fws.gov/APPS/ServCat/Reference/Profile/149924
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 Kachemak Bay 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:

Matthew Bowser

Métodos de muestreo

Our methods for this project were documented by Bowser and Davis (2024). We selected 16 lakes to survey for elodea in 2024, basing our selections on 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 elodea surveys, avoiding lakes that had been surveyed for pike in the last 10 years. We collaboratively planned our survey schedule with our partners. 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 , where where was the sample size, was 2.4 km-1, was the perimeter in km, and was 27. This resulted in a range of sample sizes of 30 to 63 sampling locations per lake. We divided the lake perimeters into segments, one segment corresponding to a target sampling location in each lake. To generate sampling segments we used a Quarto script (Bowser, 2024b) that ran R, version 4.3.3 (R Core Team, 2024) and loaded the packages gt, version 0.11.0 (Iannone et al., 2024); lwgeom, version 0.2-14 (Pebesma, 2024); and sf, version 1.0-16 (Pebesma, 2018; Pebesma and Bivand, 2023). The resulting table of coordinates was converted to GPS exchange format (GPX) using DNRGPS version 6.1.0.6 (https://gisdata.mn.gov/dataset/dnrgps, https://maps1.dnr.state.mn.us/dnrgps/index.html)

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.

Descripción de la metodología paso a paso:

  1. Our rake throw survey methods mostly follow Sethi et al. (2017). 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 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 throw 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 and the presence or absence of elodea was recorded. We also recorded depth, substrate types, and the presence of other aquatic plant species. Data were entered into a Survey123 form (Bowser, 2024a).
  2. Elodea survey data were reformatted for publication to GBIF using a Quarto document (Bowser, 2025) that ran R, version 4.4.2 (R Core Team, 2024) and using the package sf, version 1.0-20 (Pebesma, 2018; Pebesma and Bivand, 2023).

Referencias bibliográficas

  1. 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/
  2. Bowser ML (2024a) Kenai National Wildlife Refuge aquatic invasive plant survey 2024 Survey123 XLSForm. Soldotna, Alaska: United States Fish and Wildlife Service, Kenai National Wildlife Refuge. https://iris.fws.gov/APPS/ServCat/Reference/Profile/168311 https://iris.fws.gov/APPS/ServCat/Reference/Profile/168311
  3. Bowser ML (2024b) Quarto Script for Generating Elodea Sampling Segments. Soldotna, Alaska: United States Fish and Wildlife Service, Kenai National Wildlife Refuge. https://iris.fws.gov/APPS/ServCat/Reference/Profile/168206 https://iris.fws.gov/APPS/ServCat/Reference/Profile/168206
  4. Bowser ML (2025) Preparing data from Kenai National Wildlife Refuge’s 2024 elodea surveys for publication to GBIF. Soldotna, Alaska: United States Fish and Wildlife Service Kenai National Wildlife Refuge. https://iris.fws.gov/APPS/ServCat/Reference/Profile/186394 https://iris.fws.gov/APPS/ServCat/Reference/Profile/186394
  5. Bowser ML & Davis N (2024) Site-specific protocol for aquatic invasive species management. Kenai National Wildlife Refuge. Soldotna, Alaska: United States Fish and Wildlife Service, Kenai National Wildlife Refuge. https://iris.fws.gov/APPS/ServCat/Reference/Profile/171396 https://iris.fws.gov/APPS/ServCat/Reference/Profile/171396
  6. Iannone R, Cheng J, Schloerke B, Hughes E, Lauer A, Seo J, Brevoort K & Roy O (2024) gt: Easily create presentation-ready display tables. https://CRAN.R-project.org/package=gt https://CRAN.R-project.org/package=gt
  7. 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://iris.fws.gov/APPS/ServCat/Reference/Profile/149784 https://iris.fws.gov/APPS/ServCat/Reference/Profile/149784
  8. 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
  9. Pebesma E (2024) lwgeom: Bindings to selected ’liblwgeom’ functions for simple features. https://CRAN.R-project.org/package=lwgeom https://CRAN.R-project.org/package=lwgeom
  10. 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/
  11. R Core Team (2024) 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/
  12. Sethi SA, Carey MP, Morton JM, Edgar Guerron-Orejuela, Decino R, Willette M, Boersma J, Jablonski J & Anderson C (2017) Rapid response for invasive waterweeds at the arctic invasion front: Assessment of collateral impacts from herbicide treatments, Biological Conservation, 212, Part A, pp. 300–309. https://doi.org/10.1016/j.biocon.2017.06.015 https://doi.org/10.1016/j.biocon.2017.06.015

Metadatos adicionales