eButterfly Surveys

サンプリング イベント
最新バージョン Vermont Center for Ecostudies により出版 3月 29, 2024 Vermont Center for Ecostudies
ホーム:
リンク
公開日:
2024年3月29日
ライセンス:
CC-BY-NC 4.0

DwC-A形式のリソース データまたは EML / RTF 形式のリソース メタデータの最新バージョンをダウンロード:

DwC ファイルとしてのデータ ダウンロード 128,660 レコード English で (43 MB) - 更新頻度: daily
EML ファイルとしてのメタデータ ダウンロード English で (19 KB)
RTF ファイルとしてのメタデータ ダウンロード English で (14 KB)

説明

eButterfly was created in 2011 based upon two simple ideas. First, many people are passionate about observing butterflies and, second, every butterfly observation has potential research value for fundamental and conservation research. Even observations of common species from well-sampled areas have value for monitoring population change, phenology, and for other spatiotemporal studies. Using informal science education, eButterfly steers participants into standardized data collection and provides extensive resources to improve observers’ capacities for butterfly detection and identification. eButterfly users document the presence or presumed absence of species as well as abundance through checklist data collection. To report butterfly observations, a web interface engages participants to submit observations through three interactive steps designed to collect location, effort, and the species and numbers detected. eButterfly encourages participants to submit photos of their observations as vouchers for species verification. eButterfly - an international, data driven project dedicated to butterfly biodiversity, conservation, and education - is a joint initiative of the Insectarium de Montréal - Espace pour la vie, Vermont Center for Ecostudies, Mila - Quebec Artificial Intelligence Institute, and University of Ottawa.

Through time, each participant, each observation, each checklist, and each verification builds the database. eButterfly then shares this treasure trove of butterfly data with a global community of community scientists, educators, lepidopterists, conservationists, and land managers. In time, this information will become the foundation for a better understanding of butterfly distribution and population trends.

データ レコード

この sampling event リソース内のデータは、1 つまたは複数のデータ テーブルとして生物多様性データを共有するための標準化された形式であるダーウィン コア アーカイブ (DwC-A) として公開されています。 コア データ テーブルには、128,660 レコードが含まれています。

拡張データ テーブルは1 件存在しています。拡張レコードは、コアのレコードについての追加情報を提供するものです。 各拡張データ テーブル内のレコード数を以下に示します。

Event (コア)
128660
Occurrence 
534165

この IPT はデータをアーカイブし、データ リポジトリとして機能します。データとリソースのメタデータは、 ダウンロード セクションからダウンロードできます。 バージョン テーブルから公開可能な他のバージョンを閲覧でき、リソースに加えられた変更を知ることができます。

バージョン

次の表は、公にアクセス可能な公開バージョンのリソースのみ表示しています。

引用方法

研究者はこの研究内容を以下のように引用する必要があります。:

Larrivée M, McFarland K, Zhang X, Prudic K, Solis R, Bunsen M, Kerr J (2024). eButterfly Surveys. Version 1.715. Vermont Center for Ecostudies. Samplingevent dataset. https://ipt.vtatlasoflife.org/resource?r=ebutterfly&v=1.715

権利

研究者は権利に関する下記ステートメントを尊重する必要があります。:

パブリッシャーとライセンス保持者権利者は Vermont Center for Ecostudies。 This work is licensed under a Creative Commons Attribution Non Commercial (CC-BY-NC 4.0) License.

GBIF登録

このリソースをはGBIF と登録されており GBIF UUID: cf3bdc30-370c-48d3-8fff-b587a39d72d6が割り当てられています。   U.S. Geological Survey によって承認されたデータ パブリッシャーとして GBIF に登録されているVermont Center for Ecostudies が、このリソースをパブリッシュしました。

キーワード

Metadata; Samplingevent

連絡先

Maxim Larrivée
  • 最初のデータ採集者
  • 連絡先
Director
Insectarium de Montréal - Espace pour la vie
Quebec
CA
Kent McFarland
  • メタデータ提供者
  • 最初のデータ採集者
  • 連絡先
conservation biologist
Vermont Center for Ecostudies
PO Box 420
05091 Norwich
Vermont
US
802-649-1431
Xinbao Zhang
  • 最初のデータ採集者
software engineer
eButterfly.org
CA
Kathleen Prudic
  • 最初のデータ採集者
Assistant Professor
University of Arizona
85719 Tuscon
Arizona
US
Rodrigo Solis
  • 最初のデータ採集者
human network and data coordinator
eButterfly.org
Michael Bunsen
  • 最初のデータ採集者
software and machine learning engineer
eButterfly.org
Oregon
US
Jeremy Kerr
  • 最初のデータ採集者
University Research Chair in Macroecology & Conservation
University of Ottawa
Ottawa
Ontario
CA

地理的範囲

Worldwide

座標(緯度経度) 南 西 [-90, -180], 北 東 [90, 180]

生物分類学的範囲

Butterflies of the world

Superfamily Papilionoidea (Butterflies)

時間的範囲

開始日 2021-04-30

収集方法

An observer(s) are asked to checklist survey butterflies. They visit a site and find and count as many butterflies as possible. Effort is tracked by the distance walked or area searched. Amount of time searching is recorded. Incidental observations - observing butterflies was not their primary purpose or they lack information about how many other butterfly species are in the area during the observation period (e.g.butterflying while driving or gardening- are also accepted.

Study Extent eButterfly users conduct butterfly checklist surveys anywhere they choose from Panama and the Caribbean islands, west to Hawaii and north to arctic Canada and Alaska.
Quality Control Observers are encouraged to photograph every species they encounter, rare or common, to act as vouchers for their observations. eButterfly encourages participants to submit photos of their observations as vouchers for species verification. Photographs are processed in a way that is comparable to how a natural history museum traditionally works with a specimen. The eButterfly participant is analogous to the collector, the crowd-sourced identification system is analogous to the determiner, and eButterfly acts as the curator. eButterfly users validate or suggest corrections to observations with and without photographs based on species’ known ranges and phenology. Additionally, eButterfly users can add identifications and report and comment on others’ observations, and this provides another mechanism for increased data quality.

Method step description:

  1. eButterfly documents the presence or presumed absence of species as well as abundance through checklist data. To report butterfly observations, a web interface engages participants to submit observations through three interactive steps. After logging into their eButterfly account to enter observations, participants are asked where they observed butterflies using an online mapping tool to select an existing or new location. Step two asks participants to indicate which of four different protocols they used to count butterflies. Traveling and area counts are effort-based sampling protocols, which require submitting both the amount of time spent butterfly watching and the distance traveled or area searched. Timed counts lack the spatial component and only record the total amount of time spent observing butterflies. The fourth protocol is a less rigorous option, called ‘‘casual observation”, which requires only date, location, and species observed to describe the sampling event. Participants are encouraged to use the most rigorous protocols when possible. The final step presents a checklist of the butterflies known from the state or province where the outing occurred. The participant fills in the number of individuals seen for each species and can upload photographs they captured of those species during the outing. Although “sight only” observations are accepted, eButterfly encourages participants to include photos with their observations for species verification. Observations are tagged as photograph, specimen, or sight observations. Other ancillary information such as counts of each life stage, host plants, sex, behaviors, and other notes, can also be added. At the end of the checklist, participants are presented with a final question that asks if they are submitting a checklist of all butterflies observed during the count. This is an important question that allows data consumers to determine if this is a complete presence/presumed absence checklist, which is more informative than presence-only data.

書誌情報の引用

  1. Prudic, K.L.; McFarland, K.P.; Oliver, J.C.; Hutchinson, R.A.; Long, E.C.; Kerr, J.T.; Larrivée, M. (2017) eButterfly: Leveraging Massive Online Citizen Science for Butterfly Conservation. Insects 8 (2), 53. https://doi.org/10.3390/insects8020053
  2. Larrivee M, Prudic KL, McFarland KP, Zhang, X. and J Kerr 2020. eButterfly: a citizen-based butterfly database in the biological sciences. http://www.e-butterfly.org http://www.e-butterfly.org
  3. Soroye, P., Ahmed, N., & Kerr, J. T. (2018). Opportunistic citizen science data transform understanding of species distributions, phenology, and diversity gradients for global change research. Global change biology, 24(11), 5281-5291. https://doi.org/10.1111/gcb.14358

追加のメタデータ

代替識別子 cf3bdc30-370c-48d3-8fff-b587a39d72d6
https://ipt.vtatlasoflife.org/resource?r=ebutterfly