USFWS Region 7 Alaska Nonnative Plant Surveys - 2025 Survey Data

Записи данных

Данные этого находка ресурса были опубликованы в виде Darwin Core Archive (DwC-A), который является стандартным форматом для обмена данными о биоразнообразии в виде набора из одной или нескольких таблиц. Основная таблица данных содержит 19 813 записей.

Также в наличии 3 таблиц с данными расширений. Записи расширений содержат дополнительную информацию об основной записи. Число записей в каждой таблице данных расширения показано ниже.

Данный экземпляр IPT архивирует данные и таким образом служит хранилищем данных. Данные и метаданные ресурсов доступны для скачивания в разделе Загрузки. В таблице версий перечислены другие версии ресурса, которые были доступны публично, что позволяет отслеживать изменения, внесенные в ресурс с течением времени.

Версии

В таблице ниже указаны только опубликованные версии ресурса, которые доступны для свободного скачивания.

Права

Исследователи должны соблюдать следующие права:

Публикующей организацией и владельцем прав на данную работу является United States Fish and Wildlife Service. Насколько это возможно по закону, издатель отказался от всех прав на эти данные и посвятил их Public Domain (CC0 1.0). Пользователи могут без ограничений копировать, изменять, распространять и использовать работу, в том числе в коммерческих целях.

Этот ресурс был зарегистрирован в GBIF, ему был присвоен следующий UUID: 6e93498d-2585-4d2d-818a-81cb368c1165.  United States Fish and Wildlife Service отвечает за публикацию этого ресурса, и зарегистрирован в GBIF как издатель данных при оподдержке GBIF-US.

Ключевые слова

Occurrence; invasive species; Observation

Внешние данные

Ресурс также доступен в других форматах

Контакты

Географический охват

The geographic extent included much of southern, western, central, and northern Alaska, USA.

Таксономический охват

We surveyed for selected lists of non-native vascular plant species. In most surveys we limited our searches to high priority invasive species, but in some surveys we surveyed exhaustively for all non-native vascular plant species.

Временной охват

Данные проекта

In accordance with the orders of Executive Office of the President (2016) to prevent introduction, establishment, and spread of invasive species and to control and eradicate established populations, with an aim of minimizing their damage to the environment and natural resources, teams from the United States Fish and Wildlife Service, Alaska Region surveyed for and treated non-native plants on and around Alaska National Wildlife Refuges in Alaska. This dataset includes occurrences resulting from these efforts.

Исполнители проекта:

Методы сбора

Four teams (Island Invasive Strike Team, Kenai National Wildlife Refuge Biology Team, North Region Early Detection Rapid Response Team, and South Region Early Detection Rapid Response Team) collected non-native plant data following Alaska Exotic Plant Information Clearinghouse database standards (AKEPIC, 2018, 2020, 2026). The Kenai National Wildlife Refuge Biology Team followed the protocol of Bowser (2025d) for elodea surveys.

Описание этапа методики:

1. We collected data in the field using one of multiple ESRI Survey123 (https://survey123.arcgis.com/) forms (Bowser, 2025b; USFWS R7 Invasive Species Data Coordination Team, 2025a, 2025c). Instructions for these forms are available from Bowser (2025a).
2. Data were checked using a Quarto (https://quarto.org/) script (USFWS R7 Invasive Species Data Coordination Team, 2025b) that ran R, version 4.4.2 (R Core Team, 2024) and used the R packages arcgisbinding, version 1.0.1.311 (Esri, 2024); fontawesome, version 0.5.3 (Iannone, 2024); leaflet, version 2.2.3 (Cheng et al., 2025); and sf, version 1.0-20 (Pebesma, 2018; Pebesma and Bivand, 2023). These data were reformatted to the Biotic Observation Minimum Specification format (U.S. Fish & Wildlife Service, National Wildlife Refuge System, Inventory & Monitoring Branch, 2023) using a Quarto script (USFWS R7 Invasive Species Data Coordination Team, 2026) that ran R, version 4.5.2 (R Core Team, 2025) and used the R packages arcgisbinding, version 1.0.1.311 (Esri, 2024); h3jsr, version 1.3.1 (O’Brien, 2023); sf, version 1.0-24 (Pebesma, 2018; Pebesma and Bivand, 2023); and uuid, version 1.2-2 (Urbanek and Ts’o, 2026).

Библиографические ссылки

1. AKEPIC (2018) Alaska Exotic Plants Information Clearinghouse (AKEPIC) data dictionary. Anchorage, Alaska: Alaska Natural Heritage Program, Alaska Center for Conservation Science, University of Alaska, Anchorage. https://accs.uaa.alaska.edu/wp-content/uploads/AKEPIC_DataDictionary.pdf https://accs.uaa.alaska.edu/wp-content/uploads/AKEPIC_DataDictionary.pdf
2. AKEPIC (2020) Alaska Exotic Plants Information Clearinghouse (AKEPIC) user’s manual. Anchorage, Alaska: Alaska Center for Conservation Science, University of Alaska, Anchorage. https://accs.uaa.alaska.edu/wp-content/uploads/AKEPIC_UserManual.pdf https://accs.uaa.alaska.edu/wp-content/uploads/AKEPIC_UserManual.pdf
3. AKEPIC (2026) Alaska Exotic Plant Information Clearinghouse database. Anchorage, Alaska: Alaska Center for Conservation Science, University of Alaska, Anchorage. https://akepic.portal.axds.co https://akepic.portal.axds.co
4. Bowser ML (2025a) Alaska Region invasive plant surveys Survey123 form instructions. Alaska: United States Fish and Wildlife Service. https://iris.fws.gov/APPS/ServCat/Reference/Profile/182042 https://iris.fws.gov/APPS/ServCat/Reference/Profile/182042
5. Bowser ML (2025b) Kenai non-native plant surveys 2025 Survey123 XLSForm, version 2025-05-30T1235AKDT. Soldotna, Alaska: United States Fish and Wildlife Service, Kenai National Wildlife Refuge. https://iris.fws.gov/APPS/ServCat/Reference/Profile/182017 https://iris.fws.gov/APPS/ServCat/Reference/Profile/182017
6. Bowser ML (2025c) Sampling design for Kenai National Wildlife Refuge aquatic invasive species surveys, 2025. Soldotna, Alaska: United States Fish and Wildlife Service, Kenai National Wildlife Refuge. https://iris.fws.gov/APPS/ServCat/Reference/Profile/188315 https://iris.fws.gov/APPS/ServCat/Reference/Profile/188315
7. Bowser ML (2025d) Site-specific protocol for aquatic invasive species management. Kenai National Wildlife Refuge. Version 0.5. Soldotna, Alaska: United States Fish and Wildlife Service, Kenai National Wildlife Refuge. https://iris.fws.gov/APPS/ServCat/Reference/Profile/182422 https://iris.fws.gov/APPS/ServCat/Reference/Profile/182422
8. Cheng J, Schloerke B, Karambelkar B, Xie Y & Aden-Buie G (2025) leaflet: Create interactive web maps with the JavaScript ’Leaflet’ library. https://CRAN.R-project.org/package=leaflet https://CRAN.R-project.org/package=leaflet
9. Esri (2024) arcgisbinding: Bindings for ArcGIS. http://esri.com http://esri.com
10. Executive Office of the President (2016) Executive Order 13751 of December 5, 2016. Safeguarding the nation from the impacts of invasive species. 2016-29519 (81 FR 88609), Federal Register, 81(236), pp. 88609–88614. https://www.federalregister.gov/documents/2016/12/08/2016-29519/safeguarding-the-nation-from-the-impacts-of-invasive-species https://www.federalregister.gov/documents/2016/12/08/2016-29519/safeguarding-the-nation-from-the-impacts-of-invasive-species
11. Iannone R (2024) fontawesome: Easily work with ’Font Awesome’ icons. https://CRAN.R-project.org/package=fontawesome https://CRAN.R-project.org/package=fontawesome
12. O’Brien L (2023) h3jsr: Access Uber’s H3 library. https://CRAN.R-project.org/package=h3jsr https://CRAN.R-project.org/package=h3jsr
13. 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
14. Pebesma E & Bivand R (2023) Spatial data science: With applications in R. Chapman and Hall/CRC. https://doi.org/10.1201/9780429459016 https://doi.org/10.1201/9780429459016
15. 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/
16. R Core Team (2025) 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/
17. Urbanek S & Ts’o T (2026) uuid: Tools for generating and handling of UUIDs. https://doi.org/10.32614/CRAN.package.uuid https://doi.org/10.32614/CRAN.package.uuid
18. U.S. Fish & Wildlife Service, National Wildlife Refuge System, Inventory & Monitoring Branch (2023) Biotic Observation Minimum Specification for FWS inventory and monitoring surveys. U.S. Fish & Wildlife Service. https://iris.fws.gov/APPS/ServCat/Reference/Profile/153885 https://iris.fws.gov/APPS/ServCat/Reference/Profile/153885
19. USFWS R7 Invasive Species Data Coordination Team (2025a) North Region Early Detection and Rapid Response Survey123 XLSForm for nonnative plant surveys, 2025. United States Fish and Wildlife Service, Alaska Region. https://iris.fws.gov/APPS/ServCat/Reference/Profile/191748 https://iris.fws.gov/APPS/ServCat/Reference/Profile/191748
20. USFWS R7 Invasive Species Data Coordination Team (2025b) Quarto document for checking data from USFWS R7 invasive plant surveys. United States Fish and Wildlife Service, Alaska Region. https://iris.fws.gov/APPS/ServCat/Reference/Profile/190355 https://iris.fws.gov/APPS/ServCat/Reference/Profile/190355
21. USFWS R7 Invasive Species Data Coordination Team (2025c) South Region Early Detection and Rapid Response Survey123 XLSForm for nonnative plant surveys, 2025. United States Fish and Wildlife Service, Alaska Region. https://iris.fws.gov/APPS/ServCat/Reference/Profile/191751 https://iris.fws.gov/APPS/ServCat/Reference/Profile/191751
22. USFWS R7 Invasive Species Data Coordination Team (2026) Quarto document for reformatting USFWS R7 invasive plant surveys occurrence data for archival as a BOMS/DwC dataset. United States Fish and Wildlife Service, Alaska Region. https://iris.fws.gov/APPS/ServCat/Reference/Profile/190352 https://iris.fws.gov/APPS/ServCat/Reference/Profile/190352

Дополнительные метаданные