Evidence map›Paper›PMID 40125410›Full record

ArticleBiodiversity data journal2025

Snapshot Japan 2023: the first camera trap dataset under a globally standardised protocol in Japan.

Keita Fukasawa, Takahiro Morosawa, Yoshihiro Nakashima, Shun Takagi, Takumasa Yokoyama, Masaki Ando, Hayato Iijima, Masayuki U Saito, Nao Kumada, Kahoko Tochigi and 7 more

Abstract read
In one paragraph

Article in Biodiversity data journal, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

17 authors.

Keita FukasawaBiodiversity Division, National Institute for Environmental Studies, Tsukuba, Ibaraki, Japan Biodiversity Division, National Institute for Environmental Studies Tsukuba, Ibaraki Japan.ORCID https://orcid.org/0000-0002-9563-457X
Takahiro MorosawaTokyo University of Agriculture and Technology, Fuchu, Tokyo, Japan Tokyo University of Agriculture and Technology Fuchu, Tokyo Japan.
Yoshihiro NakashimaCollege of Bioresource Science, Nihon University, Fujisawa, Kanagawa, Japan College of Bioresource Science, Nihon University Fujisawa, Kanagawa Japan.
Shun TakagiUniversity of Hyogo, Tamba,Hyogo, Japan University of Hyogo Tamba,Hyogo Japan.
Takumasa YokoyamaResearch Center for Anthropology and Gender Studies, Sugiyama Jogakuen University, Nagoya, Aichi, Japan Research Center for Anthropology and Gender Studies, Sugiyama Jogakuen University Nagoya, Aichi Japan.
Masaki AndoFaculty of Applied Biological Sciences, Gifu University, Gifu, Gifu, Japan Faculty of Applied Biological Sciences, Gifu University Gifu, Gifu Japan.
Hayato IijimaForestry and Forest Products Research Institute, Tsukuba, Ibaraki, Japan Forestry and Forest Products Research Institute Tsukuba, Ibaraki Japan.
Masayuki U SaitoFaculty of Agriculture, Yamagata University, Tsuruoka, Yamagata, Japan Faculty of Agriculture, Yamagata University Tsuruoka, Yamagata Japan.
Nao KumadaBiodiversity Division, National Institute for Environmental Studies, Tsukuba, Ibaraki, Japan Biodiversity Division, National Institute for Environmental Studies Tsukuba, Ibaraki Japan.ORCID https://orcid.org/0009-0005-2425-6398
Kahoko TochigiBiodiversity Division, National Institute for Environmental Studies, Tsukuba, Ibaraki, Japan Biodiversity Division, National Institute for Environmental Studies Tsukuba, Ibaraki Japan.
Akira YoshiokaFukushima Regional Collaborative Research Center, National Institute for Environmental Studies, Miharu, Fukushima, Japan Fukushima Regional Collaborative Research Center, National Institute for Environmental Studies Miharu, Fukushima Japan.
Satsuki FunatsuGraduate School of Natural Science and Technology, Gifu University, Gifu, Gifu, Japan Graduate School of Natural Science and Technology, Gifu University Gifu, Gifu Japan.ORCID https://orcid.org/0009-0002-2905-2501
Shinsuke KoikeGraduate School of Agriculture, Tokyo University of Agriculture and Technology, Fuchu, Tokyo, Japan Graduate School of Agriculture, Tokyo University of Agriculture and Technology Fuchu, Tokyo Japan.ORCID https://orcid.org/0000-0002-2926-8196
Hiroyuki UnoTokyo University of Agriculture and Technology, Fuchu, Tokyo, Japan Tokyo University of Agriculture and Technology Fuchu, Tokyo Japan.
Takaaki EnomotoUGAS, Iwate university, Morioka, Iwate, Japan UGAS, Iwate university Morioka, Iwate Japan.
William McSheaSmithsonian Conservation Biology Institute, Front Royal, United States of America Smithsonian Conservation Biology Institute Front Royal United States of America.
Roland KaysNorth Carolina State University, Raleigh, United States of America North Carolina State University Raleigh United States of America.ORCID https://orcid.org/0000-0002-2947-6665

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: There is an urgent need to develop global observation networks to quantify biodiversity trends for evaluating achievements of targets of Kunming-Montreal Global Biodiversity Framework. Camera traps are a commonly used tool, with the potential to enhance global observation networks for monitoring wildlife population trends and has the capacity to constitute global observation networks by applying a unified sampling protocol. The Snapshot protocol is simple and easy for camera trapping which is applied in North America and Europe. However, there is no regional camera-trap network with the Snapshot protocol in Asia. New information: We present the first dataset from a collaborative camera-trap survey using the Snapshot protocol in Japan conducted in 2023. We collected data at 90 locations across nine arrays for a total of 6162 trap-nights of survey effort. The total number of sequences with mammals and birds was 7967, including 20 mammal species and 23 avian species. Apart from humans, wild boar, sika deer and rodents were the most commonly observed taxa on the camera traps, covering 57.9% of all the animal individuals. We provide the dataset with a standard format of Wildlife Insights, but also with Camtrap DP 1.0 format. Our dataset can be used for a part of the global dataset for comparing relative abundances of wildlife and for a baseline of wildlife population trends in Japan. It can also used for training machine-learning models for automatic species identifications.

Indexed as

biodiversity monitoringbirdcamera trapEast AsiamammalnetworkSnapshot

Identifiers

PMID40125410
PMCPMC11926606

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.