Alien plant presence dataset from the point-radius plot surveys in 2010-2015 in Taiwan

Описание

Записи данных

Данные этого sampling event 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 4 879 записей.

Также в наличии 2 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.

Как оформить ссылку

Исследователи должны дать ссылку на эту работу следующим образом:

Chou FS, Lin CC, Lu SS, Liao CK, Wang YH (2016) Alien plant presence dataset from the point-radius plot surveys in 2010-2015 in Taiwan. Taiwan Forestry Research Institute, Council of Agriculture, Taiwan

Права

Исследователи должны соблюдать следующие права:

Публикующей организацией и владельцем прав на данную работу является Taiwan Forestry Research Institute. 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.

Регистрация в GBIF

Этот ресурс был зарегистрирован в GBIF, ему был присвоен следующий UUID: e1f3be55-9f45-474c-8374-502b236e0ad0.  Taiwan Forestry Research Institute отвечает за публикацию этого ресурса, и зарегистрирован в GBIF как издатель данных при оподдержке Taiwan Biodiversity Information Facility.

Ключевые слова

Sampling event; alien plants; presence; point-radius plots

Контакты

Географический охват

Taiwan

Таксономический охват

Vascular plants (Magnoliophyta, Pteridophyta)

Временной охват

Данные проекта

For monitoring the current distributions and modelling the potential expansion of alien plants in Taiwan, we conducted this six-year (2010-2015) project to collect the presence data of alien plants along the road network in Taiwan. This dataset was used as an example dataset for the BIFA project “Biodiversity informatics cookbook” to demonstrate how to compile and publish a sampling event dataset.

Исполнители проекта:

Методы сбора

We made sample plots with radius in 20 meters along road network covered Taiwan and documented the presence of alien plants in each plot.

Описание этапа методики:

1. Field sampling: Sampling points were selected along road network covering Taiwan. Distance between two adjacent points along a road was within 2.0-2.5 kilometers. Sampling points were georeferenced by using a Garmin 60CX GPS receiver.
2. Compiling the field records: We used Microsoft Excel to create a workbook file with two worksheets to input the data of sampling plots and the presence of plants in each plot. The plot worksheet included the fields of sampling date, plot identifier, habitat, latitude, longitude, altitude, and county to document the detailed information of each plot. The presence worksheet included fields of sampling date, plot identifier, plant identifier, scientific names, and vernacular names in Chinese to document the presence information of plants in each plot.
3. Cleaning scientific names and retrieve relevant taxonomic information: For correcting any error in spelling scientific names, adopting accepted or valid scientific names, and getting complete information on the hierarchy of taxon ranks, we check all input names against the GBIF backbone taxonomy embedded in the name matching service (http://match.taibif.tw/) developed by Taiwan Biodiversity Information Facility in a first batch and save the matching results in a CSV text file. Then, we used Notepad++, a free text editor to open this file. All matching results were copied into the occurrence worksheet aligned with the input names to check the quality of input names by using the score field from the matching results as a filter. Some names could not be found in GBIF backbone taxonomy (scored as N/A) then we matched these names against the taxonomic data from Catalog of Life embedded the TaiBIF name matching service as a send batch in the same way to check the quality and to correct the errors in these names. Finally, we got a cleaned and accepted scientific names with complete name information on the hierarchy of taxonomic ranks for each occurrence record.
4. Standardizing data structure: For better preservation of complete information of the dataset and better integration into the GBIF global data portal, we adopted the Darwin Core star-schema and transformed our original two data tables (plot and occurrence of plant in plot) into three tables (Event, MeasurementOrFacts, and Occurrence) by using the Darwin Core terms defined for describing sampling events, measurements conducted in the sampling events and the occurrence records from each sampling event. All three data files were saved as UTF-8 chracter encoded CSV file. Users can open these files by any free text editor, such Notepad ++ or PSPad then select and copy the content into a spreadsheet software, such as the Clibre Office Calc or Microsoft Office Excel, for further editing and reuse.

Дополнительные метаданные