Evento de muestreo

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

Última versión Publicado por Taiwan Forestry Research Institute en 23 de mayo de 2020 Taiwan Forestry Research Institute
Fecha de publicación:
23 de mayo de 2020
Licencia:
CC0 1.0

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

Datos como un archivo DwC-A descargar 4.879 registros en Inglés (1 MB) - Frecuencia de actualización: cuando sea necesario
Metadatos como un archivo EML descargar en Inglés (16 KB)
Metadatos como un archivo RTF descargar en Inglés (16 KB)

Descripción

This dataset included 63,085 occurrence records of alien vascular plants from the field surveys of 4,879 sampling plots being conducted in 2010-2015 in Taiwan. We made sample plots with radius in 20 meters along the road systems covering Taiwan and documented the presence of all plants in the plots. The distance between two adjacent sampling points was about 2.0-2.5 kilometers. We georeferenced the center of each sampling plot by using a GPS receiver and documented the coordinate in decimal degrees of latitude and longitude with accuracy to 0.00001 as well as the altitude with accuracy to 1 meter. We documented the coordinates only when GPS signal was fixed and the error of horizontal positioning was within 5 meters. The altitude of sampling point ranged from -17 to 3,155 meters. There were 72 families with 400 species, 18 subspecies, and 9 varieties of alien plants being documented in this dataset.

Registros

Los datos en este recurso de evento de muestreo 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 4.879 registros.

también existen 2 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.

Event (core)
4879
Occurrence 
63085
MeasurementOrFacts 
9758

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:

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

Derechos

Los usuarios deben respetar los siguientes derechos de uso:

El publicador y propietario de los derechos de este trabajo es Taiwan Forestry Research Institute. 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: e1f3be55-9f45-474c-8374-502b236e0ad0.  Taiwan Forestry Research Institute publica este recurso y está registrado en GBIF como un publicador de datos avalado por Taiwan Biodiversity Information Facility.

Palabras clave

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

Contactos

Chun-Kuei Liao
  • Originador
Contracted assistant researcher
Taiwan Forestry Research Institute
Kaohsiung
TW
Chau-Chin Lin
  • Punto De Contacto
Research Scientist
Taiwan Forestry Research Institute
Taipei
TW
Yu-Huang Wang
  • Proveedor De Los Metadatos
  • Originador
  • Punto De Contacto
Node manager
Taiwan Biodiversity Information Facility
Taipei
886-2-27872221
Fu-Shan Chou
  • Punto De Contacto
Research Scientist
Taiwan Forestry Research Institute
Kaohsiung
TW
Sheng-Shan Lu
  • Punto De Contacto
Research Scientist
Taiwan Forestry Research Institute
Taipei
TW

Cobertura geográfica

Taiwan

Coordenadas límite Latitud Mínima Longitud Mínima [21,896, 120,037], Latitud Máxima Longitud Máxima [25,291, 122,002]

Cobertura taxonómica

Vascular plants (Magnoliophyta, Pteridophyta)

Filo Magnoliophyta (angiosperms), Pteridophyta (cryptogams)

Cobertura temporal

Fecha Inicial / Fecha Final 2010-02-11 / 2015-07-23

Datos del proyecto

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.

Título Modelling the potential geographical distributions of naturalized plants in Taiwan
Identificador BIFA1_1
Fuentes de Financiación Council of Agriculture, Taiwan
Descripción del área de estudio The study area covered whole Taiwan island.
Descripción del diseño Because the alien plants are easily dispersed along roads and occupy the highly disturbed habitats created by human activities, thus, we made 4,879 sample plots with radius in 20 meters along the road systems covering Taiwan and recorded the presence of all plants in the plots. The distance between two adjacent sampling points was about 2.0-2.5 kilometers.

Personas asociadas al proyecto:

Chun-Kuei Liao
  • Originador
Yu-Huang Wang
  • Proveedor De Los Metadatos
Sheng-Shan Lu
  • Investigador Principal
Chau-Chin Lin
  • Investigador Principal
Fu-Shan Chou
  • Investigador Principal

Métodos de muestreo

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

Área de Estudio The study area covered whole Taiwan island.
Control de Calidad 1) Geo-referencing sampling points: We georeferenced the center of each sampling plot by using a Garmin 60CX GPS receiver and documented the coordinate in decimal degrees of latitude and longitude with accuracy to 0.00001 as well as the altitude with accuracy to 1 meter. We documented the coordinates only when GPS signal was fixed and the error of horizontal positioning was within 5 meters. 2) Cleaning scientific names: The scientific names of all plants in the dataset were matched and corrected based on the taxonomic data from the GBIF backbone taxonomy and the Catalog of Life by using the scientific name matching service developed by Taiwan Biodiversity Information Facility (http://match.taibif.tw/). We adopted the accepted name as well as retrieved the name of higher taxonomic rank and the taxon rank identified for each input name. 3) Standardizing data structure: We adopted the terms from the vocabularies of Darwin Core Sampling-event and the extensions of MeasureOrFacts and Occurrence Core to transform the original data structure fitted into Darwin Core star-schema for better integration into GBIF global data repository.

Descripción de la metodología paso a paso:

  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.

Metadatos adicionales

Propósito The dataset from this intensive survey was a snapshot of the distribution of alien plants in recent six years (2010-2015) in Taiwan. It could be used to model the potential distributions of these alien plants under the scenarios of climate and land use changes in the future. When the historical occurrence records of alien plants in Taiwan are available, it is also possible to combine the historical records with this dataset to estimate the expansion of the alien plants and to evaluate their invasiveness. This dataset also provided the vernacular name in Chinese for each alien plant. It may facilitate the compilation of checklist of alien plants with vernacular names in different local languages for regional and global usages.
Descripción de mantenimiento The metadata or associated data files will be updated as necessary.
Identificadores alternativos e1f3be55-9f45-474c-8374-502b236e0ad0
http://ipt.taibif.tw/resource?r=tw_tfri_alien_plant_survey