Evento de muestreo

The 2nd and 3rd National Survey on the Natural Environment: Vegetation Survey (common species)

Última versión Publicado por National Institute of Genetics, ROIS en 22 de mayo de 2023 National Institute of Genetics, ROIS
Fecha de publicación:
22 de mayo de 2023
Licencia:
CC-BY 4.0

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 6.769 registros en Inglés (7 MB) - Frecuencia de actualización: no planeado
Metadatos como un archivo EML descargar en Inglés (20 KB)
Metadatos como un archivo RTF descargar en Inglés (20 KB)

Descripción

This dataset includes plant occurrence data of the 2nd and 3rd National Survey on the Natural Environment: Vegetation Survey conducted by Ministry of Environment, Japan from 1957 to 1988. Mainly common species of vascular plants, some mosses and fungi were recorded.

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 6.769 registros.

también existen 1 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)
6769
Occurrence 
197353

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:

Biodiversity Center of Japan (2023) The 2nd and 3rd National Survey on the Natural Environment: Vegetation Survey from 1957 to 1988 (common species). Ministry of the Environment, Government of Japan. Dataset/Sampling-event.

Derechos

Los usuarios deben respetar los siguientes derechos de uso:

El publicador y propietario de los derechos de este trabajo es National Institute of Genetics, ROIS. Esta obra está bajo una licencia Creative Commons de Atribución/Reconocimiento (CC-BY 4.0).

Registro GBIF

Este recurso ha sido registrado en GBIF con el siguiente UUID: d1d4931c-ba3a-4ebe-9e64-0b544d0d3271.  National Institute of Genetics, ROIS publica este recurso y está registrado en GBIF como un publicador de datos avalado por GBIF Japan.

Palabras clave

Samplingevent; Plants; Plantae; the 2nd and 3rd National Survey on the Natural Environment; Vegetation Survey; Japan

Contactos

Biodiversity Center of Japan, Ministry of the Environment
  • Propietario ●
  • Proveedor De Los Metadatos ●
  • Originador ●
  • Punto De Contacto
Biodiversity Center of Japan, Ministry of the Environment
5597-1, Kenmarubi, Kamiyoshida
403-0005 Fujiyoshida
Yamanashi
JP
https://www.biodic.go.jp/index_e.html
Biodiversity Division
  • Programador
National Institute for Environmental Studies
16-2 Onogawa
305-8506 Tsukuba
Ibaraki
JP
https://www.nies.go.jp/index-e.html

Cobertura geográfica

Japan

Coordenadas límite Latitud Mínima Longitud Mínima [24,875, 125,231], Latitud Máxima Longitud Máxima [45,526, 145,808]

Cobertura taxonómica

Identified taxon for Plantae were as follows: 46 families, 136 genera, 2638 species, 184 subspecies, 1135 varieties, 114 forms and 9 cultivars. Identified taxon for Fungi were as follows: 3 genera, 10 species, 3 subspecies.

Reino Plantae, Fungi

Cobertura temporal

Periodo de formación 1957-1988

Métodos de muestreo

The surveys were conducted based on phytosociological methods. Species compositions were recorded using arbitrary placed quadrats. For each quadrat, above ground vegetation were horizontally divided into several layers (e.g., herb layer, shrub layer, subcanopy layer, canopy layer). All vascular plants, some mosses and fungi were recorded for each layer. Details for the National Survey on the Natural Environment are available on the website of Biodiversity Center of Japan, Ministry of the Environment (https://www.biodic.go.jp/ne_research_e.html).

Área de Estudio Vegetation Survey was conducted from 1957 to 1988 in Japan.

Descripción de la metodología paso a paso:

  1. Geographic coordinates were generalized from original locality to representative coordinates in consideration of protecting sensitive species. The center of either secondary mesh (10x10km), the prefectural capitals or the capital of Japan was used as the representative coordinates. The coordinates were obtained from National Land Numerical Data (MLIT 2022a, MLIT 2022b). The closest terrestrial point from the center was chosen as an alternative point instead of the point in the sea for secondary mesh level coordinates. The maximum distance from the coordinates to the polygon edge was calculated as the accuracy of coordinates. R programs and ArcGIS were used for calculation (竹中 2014, Hijmans 2021, Karney 2013, Pebesma 2018).
  2. Recorded Japanese common names were cleaned since some obvious typos scattered throughout the data. Data deletion was avoided as much as possible during data cleaning, however 161 occurrence records with incomplete species names such as blanks, "?" and "? sp" were deleted. Ambiguous search using R package: stringdist（van der Loo 2014) was conducted against the checklist of Japanese plant names (Yamanouchi et al. 2019), which is available on the JBIF website, to get candidates during data cleaning. The checklist was also used to get scientific names based on Japanese common names. Scientific names in Green List (Ebihara et al. 2016, Ito et al. 2016) and YList (based on Yonekura and Kajita 2003–) were selected in priority order, referring to other sources (Ebihara 2016a, 2016b, 大橋ほか（編）2015、2016a、2016b、2017a、2017b) in the checklist as appropriate. Taxon of fungi and algae was checked against literatures (広瀬・山岸 1977, 吉田ほか2015, National Museum of Nature and Science 2018, NIES 2022, Ohmura and Kashiwadani 2018, Suzuki 2016). YList (Yonekura and Kajita 2003–) was also referred to identify names for moss plants. Family names were mostly extracted from the checklist (Yamanouchi et al. 2019) and higher taxon was extracted from GBIF Backbone Taxonomy using GBIF Species API (GBIF 2023, GBIF Secretariat 2023) in Python programs.
  3. Spelling variants in event dates, prefectures, quadrat areas and vegetation layers were fixed if obvious. Prefecture names were checked against the Digital Agency Registry Catalog (Digital Agency 2023). Vegetation layers were cleaned and normalized based on the outline of the 2nd National Survey on the Natural Environment (MoE 1979). All data including spatial and taxonomic information were organized into occurrence data using a MySQL database. Total of 413 occurrence records were deleted from original data, because either species names were invalid or relations between occurrences and events were incomplete.

Referencias bibliográficas

  1. Digital Agency (2023) Japan Prefecture Master Dataset. Digital Agency Registry Catalog. CC BY 4.0. https://catalog.registries.digital.go.jp/rsc/address/mt_pref_all.csv.zip [accessed on 2023-01-30].
  2. Ebihara, A. (2016a) The Standard of Ferns and Lycophytes in Japan, Volume 1. Gakken Publishers, Tokyo.
  3. Ebihara, A. (2016b) The Standard of Ferns and Lycophytes in Japan, Volume 2. Gakken Publishers, Tokyo.
  4. Ebihara, A., Ito, M., Nagamasu, H., Fujii, S., Katsuyama, T., Yonekura, K., Yahara, T. (2016) Fern GreenList ver. 1.01. http://www.rdplants.org/gl/
  5. GBIF (2023) Species API. Available from https://www.gbif.org/developer/species [accessed on 2023-01-18].
  6. GBIF Secretariat (2023) GBIF Backbone Taxonomy. Checklist dataset https://doi.org/10.15468/39omei Accessed via. GBIF.org [accessed on 2023-01-18].
  7. Hijmans R (2021) geosphere: Spherical Trigonometry. R package version 1.5-14. https://CRAN.R-project.org/package=geosphere [accessed on 2022-10-18].
  8. Ito, M., Nagamasu, H., Fujii, S., Katsuyama, T., Yonekura, K., Ebihara, A., Yahara, T. (2016) GreenList ver. 1.01. http://www.rdplants.org/gl/
  9. Karney, C. F. F. (2013) Algorithms for geodesics, J. Geodesy 87: 43-55.
  10. Ministry of Land, Infrastructure, Transport and Tourism, Japan (MLIT) (2022a) National Land Numerical Information Institutional National and Prefectural Agency Data. https://nlftp.mlit.go.jp/ksj/gml/datalist/KsjTmplt-P28.html#prefecture00 [accessed on 2022-10-17].
  11. Ministry of Land, Infrastructure, Transport and Tourism, Japan (MLIT) (2022b) National Land Numerical Information Administrative Area Data. N03-20220101_GML.zip https://nlftp.mlit.go.jp/ksj/gml/datalist/KsjTmplt-N03-v3_1.html#prefecture00 [accessed on 2022-10-17].
  12. Ministry of the Environment (MoE) (1979) The outline of the 2nd National Survey on the Natural Environment (vegetation, lakes and rivers). https://www.biodic.go.jp/reports/2-12/index.html [Accessed on 2022-10-05].
  13. Ministry of Environment (MoE) (2012) The 4th Version of the Japanese Red Lists on 9 Taxonomic Groups. 2012-08-28 Press release. https://www.env.go.jp/en/headline/1841.html [accessed on 2023-03-13].
  14. National Institute for Environmental Studies (NIES) (2022) Invasive Species of Japan. https://www.nies.go.jp/biodiversity/invasive/index.html [accessed on 2022-08- 24].
  15. National Museum of Nature and Science (2018) Science Museum Net (S-Net). http://science-net.kahaku.go.jp/ [accessed on 2023-03-01].
  16. Ohmura, Y. and Kashiwadani, H. (2018) Checklist of Lichens and Allied Fungi of Japan. National Museum of Nature and Science Monographs 49: 1-140.
  17. Pebesma, E. (2018) Simple Features for R: Standardized Support for Spatial Vector Data. The R Journal 10: 439-446.
  18. Suzuki, T. (2016) A Revised New Catalog of the Mosses of Japan. Hattoria 7: 9-223.
  19. van der Loo M (2014) The stringdist package for approximate string matching. The R Journal 6: 111-122. https://CRAN.R-project.org/package=stringdist
  20. Yamanouchi, T., Shutoh, K., Osawa, T., Yonekura, K., Kato, S., Shiga, T. (2019) A checklist of Japanese plant names. https://gbif.jp/activities/checklist/wamei_checklist_110 [accessed on 2022-11-25].
  21. Yonekura K, Kajita T (2003-) BG Plants: index for Japanese scientific plant names: Ylist. http://ylist.info [accessed on 2022-05-25].
  22. 大橋広好, 門田裕一, 木原浩, 邑田仁, 米倉浩司（編）(2015) 改訂新版 日本の野生植物 1 ソテツ科～カヤツリグサ科. 平凡社, 東京.
  23. 大橋広好, 門田裕一, 木原浩, 邑田仁, 米倉浩司（編）(2016a) 改訂新版 日本の野生植物 2 イネ科～イラクサ科. 平凡社, 東京.
  24. 大橋広好, 門田裕一, 木原浩, 邑田仁, 米倉浩司（編）(2016b) 改訂新版 日本の野生植物 3 バラ科～センダン科. 平凡社, 東京.
  25. 大橋広好, 門田裕一, 木原浩, 邑田仁, 米倉浩司（編）(2017a) 改訂新版 日本の野生植物 4 アオイ科～キョウチクトウ科. 平凡社, 東京.
  26. 大橋広好, 門田裕一, 木原浩, 邑田仁, 米倉浩司（編）(2017b) 改訂新版 日本の野生植物 5 ヒルガオ科～スイカズラ科. 平凡社, 東京.
  27. 竹中 (2014) メッシュコード変換プログラム for R. http://takenaka-akio.org/etc/meshcode/r_code.html [参照2022年10月19日].
  28. 広瀬弘幸, 山岸高旺（編）(1977) 日本淡水藻図鑑. pp. 778-779. 内田老鶴圃, 東京.
  29. 吉田忠生, 鈴木雅大, 吉永一男 (2015) 日本産海藻目録 (2015 年改訂版). 藻類 63: 129-189.

Metadatos adicionales

Identificadores alternativos d1d4931c-ba3a-4ebe-9e64-0b544d0d3271
https://gbif.jp/ipt/resource?r=biodic_veg2-3