InvadeHawaii: A dataset of invasive species of Hawaii

資料紀錄

此資源名錄的資料已發佈為達爾文核心集檔案（DwC-A），其以一或多組資料表構成分享生物多樣性資料的標準格式。 核心資料表包含 21 筆紀錄。

亦存在 1 筆延伸集的資料表。延伸集中的紀錄補充核心集中紀錄的額外資訊。 每個延伸集資料表中資料筆數顯示如下。

此 IPT 存放資料以提供資料儲存庫服務。資料與資源的詮釋資料可由「下載」單元下載。「版本」表格列出此資源的其它公開版本，以便利追蹤其隨時間的變更。

版本

以下的表格只顯示可公開存取資源的已發布版本。

如何引用

研究者應依照以下指示引用此資源。:

Tanalgo K (2024). InvadeHawaii: A dataset of invasive species of Hawaii. Version 1.2. Training Organization. Checklist dataset. https://training-ipt-a.gbif.org/resource?r=invahawaii&v=1.2

權利

研究者應尊重以下權利聲明。:

此資料的發布者及權利單位為 Training Organization。 To the extent possible under law, the publisher has waived all rights to these data and has dedicated them to the Public Domain (CC0 1.0). Users may copy, modify, distribute and use the work, including for commercial purposes, without restriction.

GBIF 註冊

此資源已向GBIF註冊，並指定以下之GBIF UUID: bda26b7d-5ffc-4d57-9c10-fdab50989823。  Training Organization 發佈此資源，並經由GBIF Secretariat同意向GBIF註冊成為資料發佈者。

關鍵字

Checklist; occurrence

聯絡資訊

地理涵蓋範圍

The Island of Hawaii

時間涵蓋範圍

計畫資料

This dataset contains comprehensive occurrence data on invasive species recorded across Hawaii, resulting from a collaborative project led by the Hawaii Invasive Species Council (HISC), the Big Island Invasive Species Committee (BIISC), the University of Hawaii in Maui (UHM), and participating local high schools. The initiative, funded by a federal grant, aims to enhance awareness and documentation of invasive species through a structured educational program integrated into the high school curriculum. The project seeks to increase local knowledge, improve data collection, and produce accurate records of invasive species occurrences. The Hawaii Invasive Species Council oversees the project, ensuring effective coordination among all partners. The Big Island Invasive Species Committee manages the central database and data portal, facilitating the integration and accessibility of data from various island committees. The University of Hawaii in Maui contributes to data validation through its botany students, who verify the accuracy of species identifications as part of their academic coursework. Local high schools play a crucial role by engaging students in field surveys and data collection efforts. Field surveys were organized by high school students, who, with guidance from ISC Early Detection Technicians and Student Mentors, conducted community surveys using GPS-enabled mobile phones to capture photos and record observations of invasive species. The data, recorded through a digital form adapted from the HISC pest reporting form, includes detailed information on 21 key invasive plant species, including photographic evidence and GPS coordinates for precise location documentation. UHM botany students further validated this data collection to ensure quality and accuracy. The dataset provides valuable insights into the distribution and impact of invasive species in Hawaii, contributing to expanded data coverage in previously under-reported areas. Managed by BIISC, the central database integrates all collected data into a unified, searchable portal, making it accessible to government agencies, researchers, and the public. This centralized repository supports ongoing research and informed decision-making in invasive species management. Overall, the project enhances understanding of invasive species, supports public accessibility to critical data, and fosters community involvement in environmental conservation efforts. For more information and to access the dataset, please visit the. Contact details for the project manager, HISC Fiscal Associate, BIISC Coordinator, and UHM Botany.

參與計畫的人員:

取樣方法

The sampling for this project was designed to systematically capture a comprehensive representation of invasive species occurrences across various locations in Hawaii. The process began with selecting two high schools on each island, chosen for their locations in areas with limited or non-existent documentation of invasive species. Specific survey routes within these target areas were then predefined to maximize coverage, considering the distribution of known invasive species and accessibility. High school students were trained as part of the project, served as Student Mentors, and were assisted by local ISC Early Detection Technicians in guiding community participants through the sampling process. Community members, including residents, were engaged in day-long survey events organized by the students. Participants followed assigned routes, using GPS-enabled mobile phones equipped with a digital data collection form to record their observations. During the surveys, participants identified target invasive species and captured 1-3 photos of each sighting to document different aspects of the species for accurate identification. Based on the HISC pest reporting format, the digital form required input of species details, location coordinates, and additional notes. Observations were recorded and submitted in real time using mobile phones, with data including photos and GPS coordinates. To ensure the accuracy of the data, submissions were reviewed and validated by botany students from the University of Hawaii in Maui, who cross-referenced the information with known species characteristics. The collected data was then aggregated into a central database managed by the Big Island Invasive Species Committee (BIISC), which integrates information from all participating Invasive Species Committees (ISCs). This data is accessible through a unified, searchable portal, allowing researchers, government agencies, and the public to access and analyze the comprehensive dataset easily. This structured sampling approach ensures thorough documentation of invasive species occurrences and supports ongoing research and conservation efforts through accurate and reliable data.

方法步驟描述:

1. Documentation of invasive species from the field.
2. Reviewing of the initial identification of the species.
3. Validation of the species and occurrence records.
4. Organizing the species occurrence records and associated metadata following Darwin Core Standards in Microsoft Office Excel format (.csv).
5. Curating species occurrence in Quantum GIS.

額外的詮釋資料