説明
In 2011, the Fukushima Daiichi Power Plant accident resulted in the evacuation of about 81,000 people from the evacuation zone, which suffered from high levels of radioactive contamination. Large-scale and long-term land abandonment can cause changes in species assemblages. Despite the extensive global attention this incident received, open and spatially-explicit datasets of mammal fauna from Fukushima remain quite limited. We established a continuous monitoring protocol using camera traps for mammals both inside and outside the evacuation zone; this paper presents the dataset. These data represent the monitoring results from 46 camera traps from May 2014 to June 2021, including the location and actuation time of each camera, and the list of video records. After the publication of this initial data paper, we intend to continue monitoring until 2023 and the dataset will be hereafter updated with new observations.
データ レコード
この オカレンス（観察データと標本) 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、23,824 レコードが含まれています。
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。:
Fukasawa K., Mishima Y., Yoshioka A., Kumada N., Totsu K., Osawa T.(2016) Mammal assemblages recorded by camera traps inside and outside the evacuation zone of the Fukushima Daiichi Nuclear Power Plant accident. Ecological Research 31(4), 493. doi:10.1007/s11284-016-1366-7
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 National Institute of Genetics, ROIS。 This work is licensed under a Creative Commons Attribution (CC-BY 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: 60807e2a-422e-48a4-b79d-eeb35820a8bbが割り当てられています。 GBIF Japan 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National Institute of Genetics, ROIS が、このリソースをパブリッシュしました。
キーワード
Occurrence; Observation; forest; Satoyama; depopulation; carnivore; herbivore; Japan; Occurrence
連絡先
- 論文著者 ●
- 最初のデータ採集者
- 論文著者 ●
- 最初のデータ採集者
- 論文著者 ●
- 最初のデータ採集者
- 論文著者 ●
- 最初のデータ採集者
- 論文著者 ●
- 最初のデータ採集者
- 論文著者 ●
- 最初のデータ採集者
- メタデータ提供者 ●
- 連絡先
- 連絡先
- 研究代表者
- 研究代表者
- 研究代表者
- 研究代表者
地理的範囲
Fukushima, Japan
| 座標（緯度経度） | 南 西 [37.037, 140.556], 北 東 [37.793, 140.968] |
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生物分類学的範囲
説明がありません
| Class | Mammalia |
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時間的範囲
| 開始日 / 終了日 | 2014-05-15 / 2021-06-08 |
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収集方法
A trail camera (Trophycam HD, and its succesor models by Bushnell Outdoor Products) is installed at each monitoring site during May 2014 to June 2021. Cameras were adjusted to video mode, and the image resolution was 1280×720 pixels (720p) and the frame rate was 30 fps in daytime mode (visible light imaging) and 18 fps in night-vision mode (infrared monochrome imaging). Although the video length was set to 30 seconds, the camera model number 119776 and the later automatically change the video length to 15 seconds in the night-vision mode due to their specifications. The trigger interval was set to 10-second, but it sometimes took more time to recover actually. Cameras were fixed to tree trunks at a height of about 1 m. Data collection and battery exchange have been conducted biannually. In 2014, the data collection and battery exchange were conducted in October and partially in July. Mammals that appeared in the videos were identified and recorded to the event list. The duration between battery exchanges was defined as the “occasion”, and the start and end times of each occasion for each camera were recorded. The occasion values provide information on the durations for which the camera traps were active, and make it possible to calculate records per unit time. An occasion end time was defined as the time when the last video file was recorded, if a camera was inactive due to battery exhaustion or mechanical failure at the visit. The sensor cameras used in this study are essentially suitable tools for monitoring medium to large sized mammals (O'Brien et al. 2011). The capture efficiency of small mammals (e.g. rodents and shrews), can be highly sensitive to small variations in the installation of cameras, and we do not recommend treating the data on small mammals belonging to the orders Rodentia, Soricomorpha and Chiroptera as correlative indices of abundance.
| Study Extent | The study area is the eastern part of Fukushima prefecture, located in northeastern Japan, and is enclosed within the following four sets of coordinates: (37.79275°N, 140.55635°E), (37.79275°N, 140.96821°E), (37.03656°N, 140.96821°E), and (37.03656°N, 140.55635°E) (Fig. 1). The study area contains the evacuation zone, which has been categorized since October 2013 into three subzones: a zone in preparation for the lifting of the evacuation order (≤20 mSv/year, Zone 1), a restricted residence area (20-50 mSv/year, Zone 2), and a difficult-to-return-to zone (>50 mSv/year, after 5 years, the air dose rate will still be >20 mSv/year, Zone 3). We set 46 monitoring sites inside and outside the evacuation zone (5 sites in Zone 1, 7 sites in Zone 2, and 13 sites in Zone 3). All the monitoring sites are located in closed forest. |
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| Quality Control | All species were identified by the authors or by research collaborators who are mammal experts. If we could not obtain sufficient information for species identification from a video image, we recorded a higher taxonomic level (e.g. order and class) which could be certainly specified. Scientific names followed Ohdachi et al. (Ohdachi et al. 2009) and the Catalogue of Life (http://www.catalogueoflife.org/). Since the camera traps were set at the same location, uncertainties of geographical coordinates were estimated to be smaller than 10m in which species could be recorded and identified. |
Method step description:
- The R (R Core Team 2014) function for tabulating number of events and duration of camera in action by arbitrary intervals is available at Github (https://github.com/ecomoni-fukushima/Conversion-tools-for-camera-trapping-data-in-R).
書誌情報の引用
- O'Brien T, Kinnaird MF, Wibisono HT (2011) Estimation of species richness of large vertebrates using camera traps: an example from an Indonesian rainforest. In: AF O'Connell, JD Nichols, KU Karanth (eds) Camera traps in animal ecology: methods and analyses. Springer, pp. 233-252
- Ohdachi SD, Ishibashi Y, Iwasa MA, Saito T (2009) The wild mammals of Japan. Shoukadoh Book Sellers, Kyoto
- R Core Team (2014) R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. URL: http://www.R-project.org/ (latest access: Aug. 13 2015)
追加のメタデータ
| 代替識別子 | 60807e2a-422e-48a4-b79d-eeb35820a8bb |
|---|---|
| 10.1007/s11284-016-1366-7 | |
| https://gbif.jp/ipt/resource?r=nies_mafu |