https://www.gbif.jp/ipt/resource?r=nies_aafu Acoustic monitoring data of avian species inside and outside the evacuation zone of the Fukushima Daiichi power plant accident NIES Fukushima Terrestrial Ecosystem Monitoring Team National Institute for Environmental Studies Researcher
16-2 Onogawa Tsukuba Ibaraki 305-8506 JP
ecomoni_fukushima@nies.go.jp
NIES Fukushima Terrestrial Ecosystem Monitoring Team National Institute for Environmental Studies Researcher
16-2 Onogawa Tsukuba Ibaraki 305-8506 JP
ecomoni_fukushima@nies.go.jp
Keita Fukasawa National Institute for Environmental Studies Researcher
16-2 Onogawa Tsukuba Ibaraki 305-8506 JP
+8129-850-2676 fukasawa@nies.go.jp author
Yoshio Mishima National Institute for Environmental Studies Junior Research Associate
16-2 Onogawa Tsukuba Ibaraki 305-8506 JP
author
Akira Yoshioka National Institute for Environmental Studies Researcher
10-2 Fukasaku Miharu Fukushima 963-7700 JP
author
Nao Kumada National Institute for Environmental Studies Research Assistant
16-2 Onogawa Tsukuba Ibaraki 305-8506 JP
author
Kumiko Totsu National Institute for Environmental Studies Specialist (Database engineer)
16-2 Onogawa Tsukuba Ibaraki 305-8506 JP
+8129-850-2894 totsu.kumiko@nies.go.jp author
2019-11-06 eng Large-scale land abandonment and reconstruction activity has altered the ecosystem structure in the evacuation area for the Fukushima Daiichi power plant accident in 2011. Despite social concerns about changes in the avian assemblages that occurred after the accident, publicly accessible data are quite limited. We engaged in acoustic monitoring of birds using digital voice recorders from 2014 in and around the Fukushima evacuation zone. All monitoring sites were located within schoolyards (including those that had been converted to community centers) to examine the bird assemblages in the urban and rural landscapes that were heavily altered by land abandonment due to the nuclear plant accident. A digital voice recorder was installed at each monitoring site during May–July, and we recorded 20 minutes a day using timer-recording mode. We divided the audio data into 1-minute segments and identified species occurred in sampled segments by experts. These data represent the presence-absence records from 52 sites monitored in 2014, 57 sites monitored in 2015, 54 sites monitored in 2016, 57 sites monitored in 2017 and 56 sites monitored in 2018. We identified the species for 7,222 segments in total and 68 species occurred in 2014, 8,017 segments in total and 64 species occurred in 2015, 5,289 segments in total and 58 species occurred in 2016, 4,092 segments in total and 60 species occurred in 2017 and 4,200 segments in total and 65 species occurred in 2018. We are continuing to monitor and intend to update the dataset with new observations hereafter. Our dataset will help people to recognize the status and dynamics of avian assemblage inside the evacuation zone, and will contribute to promote open science in avian ecological studies. Samplingevent GBIF Dataset Type Vocabulary: http://rs.gbif.org/vocabulary/gbif/dataset_type.xml Fukushima Daiichi Nuclear Power Station Agricultural landscape Satoyama depopulation terrestrial bird Japan n/a This work is licensed under a Creative Commons Attribution (CC-BY) 4.0 License. Fukushima, Japan 140.537 141 37.801 36.996 2014-05-22 2018-06-08 class Aves annually NIES Fukushima Terrestrial Ecosystem Monitoring Team National Institute for Environmental Studies Researcher
16-2 Onogawa Tsukuba Ibaraki 305-8506 JP
ecomoni_fukushima@nies.go.jp
(1) Presence-absence records with uncertain identification of species were removed. (2) Presence-absence records were summed up as daily data. The study area was located in the eastern part of Fukushima Prefecture, northeastern Japan, and was enclosed within the following four sets of coordinates: (37.80137°N, 140.53747°E), (37.80136°N, 141.00048°E), (36.99588°N, 141.00048°E), and (36.99588°N, 140.53747°E). The study area contained the evacuation zone, which has been categorized into three subzones since October 2013: a zone in preparation for lifting 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 five years the air dose rate will be > 20 mSv/year, Zone 3). Zone 1 and 2 areas have been reviewed annually, and the evacuation order was canceled at all of our sampling sites in Zone 1 and Zone 2. We set up 52 monitoring sites inside and outside the evacuation zone in 2014 (33 sites outside the evacuation zone, six sites in Zone 1, seven sites in Zone 2, and six sites in Zone 3), which were the same as the insect monitoring sites used by Yoshioka et al. (2015). After that we set up 57 monitoring sites (33 sites outside the evacuation zone, eight sites in Zone 1, ten sites in Zone 2, and six sites in Zone 3) in 2015, 55 monitoring sites (33 sites outside the evacuation zone, six sites in Zone 1, ten sites in Zone 2, and six sites in Zone 3) in 2016, 57 monitoring sites (51 sites outside the evacuation zone, 6 sites in Zone 3) in 2017 and 56 monitoring sites (50 sites outside the evacuation zone, 6 sites in Zone 3) in 2018. All monitoring sites were located within schoolyards (including those that had been converted to community centers) to minimize differences in the local site conditions and to examine the bird assemblages in the urban and rural landscapes that were heavily altered by land abandonment due to the nuclear plant accident. A digital voice recorder (DS-850, Olympus, Tokyo, Japan) was installed at each monitoring site during May–July in each year. The recorders were adjusted to timer-recording mode and recorded for 10 min before and after sunrise (total 20 min) every day until the batteries were depleted. The recorders were fixed to tripod stands at a height of about 0.9 m. The recorded data were split into 1-min segments in MP3 (124 kbps) format, which was treated as the minimum sample unit. We identified species of birds from acoustic data. Bioacoustics signals is a promised source of information for avian species identification (Lopes et al. 2011), and acoustic monitoring can produce similar result as traditional on-site survey methods in comparative ecological studies (Haselmayer & Quinn 2000; Hobson et al. 2002; Klingbeil & Willig 2015). Because the number of segments was very large, we chose a subset of segments evenly throughout the sampling period (8.08 days/site and 17.2 segments/day/site in 2014, 7.84 days/site and 17.8 segments/day/site in 2015, 5.74 days/site and 16.8 segments/day/site in 2016, 3.51 days/site and 20 segments/day/site in 2017 and 3.75 days/site and 19.9 segments/day/site in 2018, in average). A total of 7,222 of the 45,540 segments were chosen in 2014, 7,945 of the 46,440 segments were chosen in 2015, 5,221 of the 42,440 segments were chosen in 2016, 3,997 of the 46,680 segments were chosen in 2017 and 4,189 of the 43,580 segments were chosen in 2018. Species that appeared in each segment were identified by experts and their presence-absence was recorded. Some of the segments were identified through a citizen-scientific project, “Bird Data Challenge (Fukasawa et al. 2017)”, in which we listened to audio data and prepared a species list of birds with involvement of local citizen experts. Data identified through the Bird Data Challenge was checked by authors or other experts to correct misspecifications of species. We were careful to avoid the negative impact (e.g., pressure of photographing and illegal capture) on endangered and attractive species when we made the species distribution data accessible online. We left the location ID blank and assigned the mean latitude and longitude of the study area in the presence-absence records for endangered species (i.e., species ranked VU, EN, and CR in the National or Prefectural Red List) and species attracting particular public interest (Terpsiphone atrocaudata and Halcyon coromanda). All species were identified by the authors or by professional experts or local citizen experts. Core members of the local citizen experts belonged to chapters of the Wild Bird Society of Japan in Fukushima Prefecture. If we could not obtain sufficient information to identify a species from acoustic data, we recorded the next highest taxonomic level (e.g., genus) that could be specified with certainty. Scientific names followed the Ornithological Society of Japan (2012). Noise including rain sound was detected in acoustic records during the monitoring, which was indicated in 'eventRemarks'.
2016-11-30T03:22:20.663+09:00 dataset Fukasawa K., Mishima Y., Yoshioka A., Kumada N., Totsu K.(2017) Acoustic monitoring data of avian species inside and outside the evacuation zone of the Fukushima Daiichi power plant accident. Ecological Research, 32(6), 769. doi:10.1007/s11284-017-1491-y Fukasawa K, Mishima Y, Kumada N, Takenaka A, Yoshioka A, Katsumata K, Haga A, Kubo T, Tamaoki M (2017) Bird Data Challenge: new approach for cooperation between birders and researchers on acoustic identification. Bird Research 13: A15-A28. (in Japanese with English summary) Haselmayer J, Quinn JS (2000) A comparison of point counts and sound recording as bird survey methods in amazonian southeast Peru. The Condor 102: 887-893. DOI: doi:10.1650/0010-5422(2000)102[0887:ACOPCA]2.0.CO;2 Hobson KA, Rempel RS, Greenwood H, Turnbull B, Van Wilgenburg SL (2002) Acoustic surveys of birds using electronic recordings: new potential from an omnidirectional microphone system. Wildl Soc Bull: 709-720. Klingbeil BT, Willig MR (2015) Bird biodiversity assessments in temperate forest: the value of point count versus acoustic monitoring protocols. PeerJ 3: e973. DOI: 10.7717/peerj.973 Lopes MT, Gioppo LL, Higushi TT, Kaestner CA, Silla Jr CN, Koerich AL (2011) Automatic bird species identification for large number of species. Multimedia (ISM), 2011 IEEE International Symposium on: 117-122. Ornithological Society of Japan (2012) Check-list of Japanese birds: 7th revised edition. Ornithological Society of Japan, Tokyo (in Japanese) Yoshioka A, Mishima Y, Fukasawa K (2015) Pollinators and Other Flying Insects inside and outside the Fukushima Evacuation Zone. PLoS ONE 10: e0140957. DOI: 10.1371/journal.pone.0140957 https://www.gbif.jp/ipt/resource?id=nies_aafu/v1.24.xml