Forest monitoring data of 45 plots over the Japanese archipelago during the period of 1980-2021

Sampling event
最新版本 published by National Institute of Genetics, ROIS on 4月 1, 2024 National Institute of Genetics, ROIS
發布日期:
2024年4月1日
授權條款:
CC-BY 4.0

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說明

Long-term monitoring of a forest tree community is a basis for understanding forest structure and dynamics, and for evaluating ecosystem functions such as primary production. Because global climate change has impacted and will change the forest ecosystems from local to global scales, it is essential to document long-term monitoring data of the forests to examine the temporal and geographical trends of forest changes. We here report the monitoring data of 45 forest plots (average area: 0.69 ha) from 27 sites in Japan. The plots are located with latitude ranges from N 32.38 to N 43.36, and with elevation ranges from 8 m to 2453 m above sea level. These plots include both old-growth and secondary forests, and cover various forest biomes, such as warm-temperate evergreen forests, temperate deciduous broadleaved forests, and boreal or sub-alpine coniferous forests. In each plot, all living trees and liana larger than a certain minimum size (basically 15 cm stem girth at breast height) were repeatedly measured, and survival and recruitment of stems were recorded. Monitoring period varies among plots from 5 to 40 years with the average of 17.3 years. The tree measurement data are presented as a format common to that of the preceding Monitoring Sites 1000 Project in Japan, and as a sample-based Darwin Core format. This dataset expands existing open monitoring data of Japanese forests and thereby facilitates further meta-analysis on forest community structures and their changes in relation to climate change and other drivers. This dataset is published as a data paper in Ecological Research (see https://doi.org/10.1111/1440-1703.12457).

資料紀錄

此資源sampling event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 337 筆紀錄。

亦存在 2 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。

Event (核心)
337
ExtendedMeasurementOrFact 
224727
Occurrence 
168805

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版本

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如何引用

研究者應依照以下指示引用此資源。:

National Institute for Environmental Studies (2024) Forest monitoring data of 45 plots over the Japanese archipelago during the period of 1980-2021. Version 1. National Institute for Environmental Studies. Dataset/Sampling-event.

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 National Institute of Genetics, ROIS。 This work is licensed under a Creative Commons Attribution (CC-BY 4.0) License.

GBIF 註冊

此資源已向GBIF註冊,並指定以下之GBIF UUID: b471e8c8-237a-4444-b2ef-0d5ba1903ead。  National Institute of Genetics, ROIS 發佈此資源,並經由GBIF Japan同意向GBIF註冊成為資料發佈者。

關鍵字

Samplingevent; Plot network; Forest dynamics; Tree species abundance; Stem diameter; Tree demography; Time-line data; Long-term monitoring; Samplingevent

聯絡資訊

Tetsuro Yoshikawa
  • 作者
  • 出處
Research Associate
National Institute for Environmental Studies
16-2 Onogawa
305-8506 Tsukuba
Ibaraki
JP
Kumiko Totsu
  • 作者
  • 出處
Specialist (Database engineer)
National Institute for Environmental Studies
16-2 Onogawa
305-8506 Tsukuba
Ibaraki
JP
Yayoi Takeuchi
  • 元數據提供者
  • 作者
  • 出處
  • 連絡人
Senior Researcher
National Institute for Environmental Studies
16-2 Onogawa
305-8506 Tsukuba
Ibaraki
JP
Taku Kadoya
  • 作者
  • 出處
Head
National Institute for Environmental Studies
16-2 Onogawa
305-8506 Tsukuba
Ibaraki
JP
Tsutomu Enoki
  • 作者
  • 出處
Kyushu University
Sakae Fujii
  • 作者
  • 出處
Tokushima Prefecture Agriculture, Forestry, and Fisheries Technology Support Center
Atsuko S. Fukamachi
  • 作者
  • 出處
Tokyo University of Agriculture and Technology
Mitsuru Hirota
  • 作者
  • 出處
University of Tsukuba
Kazuhiko Hoshizaki
  • 作者
  • 出處
Akita Prefectural University
Naoki Iiyama
  • 作者
  • 出處
Tokushima University
Yukio Ishikawa
  • 作者
  • 出處
Hirosaki University
Hiroki Itô
  • 作者
  • 出處
Hokkaido Research Center, Forestry and Forest Products Research Institute
Hajime Kobayashi
  • 作者
  • 出處
Shinshu University
Takashi Kohyama
  • 作者
  • 出處
Hokkaido University
Yasuo Konno
  • 作者
  • 出處
Obihiro University of Agriculture and Veterinary Medicine
Akifumi Makita
  • 作者
  • 出處
Akita Prefectural University
Akira S. Mori
  • 作者
  • 出處
The University of Tokyo
Dai Nagamatsu
  • 作者
  • 出處
Tottori University
Tohru Nakashizuka
  • 作者
  • 出處
Forestry and Forest Products Research Institute
Kanji Namikawa
  • 作者
  • 出處
Hokkaido University of Education
Mahoko Noguchi
  • 作者
  • 出處
Forestry and Forest Products Research Institute
Michinori Sakimoto
  • 作者
  • 出處
Kyoto University
Yoshinobu Ozaki
  • 作者
  • 出處
Shimane University
Tatsuyuki Seino
  • 作者
  • 出處
University of Tsukuba
Hisashi Sugita
  • 作者
  • 出處
Toyama Prefectural Agricultural, Forestry and Fisheries Research Center
Jun-Ichirou Suzuki
  • 作者
  • 出處
Tokyo Metropolitan University
Ryo O. Suzuki
  • 作者
  • 出處
University of The Ryukyus
Satoshi N. Suzuki
  • 作者
  • 出處
The University of Tokyo
Koichi Takahashi
  • 作者
  • 出處
Shinshu University
Ryunosuke Tateno
  • 作者
  • 出處
Kyoto University
Ryuichi Watanabe
  • 作者
  • 出處
Shinshu University
Tamon Yamashita
  • 作者
  • 出處
Shimane University
Tomohiro Yoshida
  • 作者
  • 出處
Tokyo University of Agriculture and Technology
Masae I. Ishihara
  • 作者
  • 出處
Kyoto University
Kenta Tanaka
  • 作者
  • 出處
University of Tsukuba
Masahiro Nakamura
  • 作者
  • 出處
Hokkaido University
Tsutom Hiura
  • 作者
  • 出處
The University of Tokyo
Biodiversity Division
  • 連絡人
National Institute for Environmental Studies
16-2 Onogawa
305-8506 Tsukuba
Ibaraki
JP

地理涵蓋範圍

Japan

界定座標範圍 緯度南界 經度西界 [32.377, 131.173], 緯度北界 經度東界 [43.361, 144.661]

分類群涵蓋範圍

Trees and liana of gymnosperm and angiosperm of 232 species from 113 genera of 54 families.

Family Actinidiaceae, Adoxaceae, Anacardiaceae, Apocynaceae, Aquifoliaceae, Araliaceae, Aucubaceae, Betulaceae, Cannabaceae, Celastraceae, Cephalotaxaceae, Cercidiphyllaceae, Clethraceae, Cornaceae, Cupressaceae, Daphniphyllaceae, Diervillaceae, Ebenaceae, Ericaceae, Euphorbiaceae, Eupteleaceae, Fabaceae, Fagaceae, Hamamelidaceae, Hydrangeaceae, Juglandaceae, Lamiaceae, Lardizabalaceae, Lauraceae, Magnoliaceae, Malvaceae, Moraceae, Myricaceae, Oleaceae, Pinaceae, Rhamnaceae, Rosaceae, Rutaceae, Sabiaceae, Salicaceae, Sapindaceae, Schisandraceae, Sciadopityaceae, Simaroubaceae, Stachyuraceae, Staphyleaceae, Styracaceae, Symplocaceae, Taxaceae, Ternstroemiaceae, Theaceae, Trochodendraceae, Ulmaceae, Vitaceae

時間涵蓋範圍

彙整期間 1980-2021

取樣方法

Tree measurement was performed generally based on the protocol of the Monitoring Site 1000 project (Ishihara et al. 2011). All living trees and liana larger than a certain minimum size were repeatedly measured using a tape measure or a caliper. Minimum size of measured stem (in girth at breast height [GBH] or tree height) differs among the plots, but all the stems with greater than or equal to 15.7 cm in GBH (5 cm in DBH) were measured, except one plot with the minimum size of 31.4 cm of GBH (10 cm in DBH; PL18). Survival and recruitment of stems were also recorded in each census. Total number of censuses per plot ranges from 2 to 23, with the average of 6.0.

研究範圍 The 45 forest plots (coded as PL01–PL45 in this paper) are distributed throughout the Japanese archipelago. Plot latitude ranges from N 32.38 to N 43.36, and longitude ranges from E 131.17 to E 144.66. Elevation of the plots range from 8 m to 2453 m above sea level. Monitoring period per plot ranges from 5 to 40 years and the average is 17.3 years. Total monitoring period ranges from 1980 to 2021. A total of 269 censuses were performed in all the 45 plots. Plot size ranges from 0.0325 ha (plot ID: PL41) to 6.25 ha (plot ID: PL18), with an average of 0.69 ha. Most of the plots have rectangle shapes, but one plot has an irregular shape, and two plots have rectangle outlines but have non-covered areas inside them. These plots were all established in natural forests without cultivated or planted trees, and have experienced no large natural or anthropogenic disturbance (e.g., logging) during the monitoring. Some plots have suffered from insect damage (mainly the oak wilt disease by a bark beetle), deer browsing, or windstorm damage during their monitoring periods. The 45 plots can be categorized into two forest age classes; old-growth forest which had persisted at least 150 years without large disturbances until the start of monitoring (28 plots in 18 sites), and secondary forests, which have established within 150 years before the start of monitoring (17 plots in 11 sites).
品質控管 All plants were identified to species-level by the experts. Scientific names followed the YList (Yonekura and Kajita 2003) and were checked against the GBIF Backbone Taxonomy (GBIF Secretariat 2021).

方法步驟描述:

  1. Tree census data was formatted into event data. A plot ID was stored in locationID. When a census date was not available, a date range based on the Japanese fiscal year was provided in eventDate.
  2. For the measurement in which individuals were identified, occurrence data was extracted from the GBH measurement data by a combination of a plot ID, an individual identification code (*case-sensitive), a census date, and species. A combination of a plot ID and an individual identification code was stored in organismID. For the measurement in which individuals were not identified (i.e. some in PL18 and all in PL02, PL05 and PL40), a combination of a plot ID, a census date, and species was used to extract occurrence data and therefore organismID was not provided.
  3. Measurement records including GBH and the proportion of tree trunk area where bark is stripped by deers, were created for each stem observed.

引用文獻

  1. Ishihara MI, Suzuki SN, Nakamura M, et al (2011) Forest stand structure, composition, and dynamics in 34 sites over Japan. Ecol Res 26:1007 10.1007/s11284-011-0847-y
  2. Yonekura K, Kajita T (2003) BG Plants: Japanese name-Scientific name index (YList). In: Retrieved July. http://ylist.info/
  3. GBIF Secretariat (2021) GBIF Backbone Taxonomy. Checklist dataset https://doi.org/10.15468/39omei accessed via GBIF.org on 2021-08-12. 10.15468/39omei

額外的詮釋資料