Data Set Citation:
When using this data, please cite the data package:
Igota H , Takahashi H , Matsuura Y , Ikeda T , Watanabe T , and Kaji K.
The long-term drive count and culling data of the sika deer (Cervus nippon) population introduced on Nakanoshima Island in Lake Toya, Hokkaido, Japan, during 1980-2023
ERDP-2024-06.1.2 (https://db.cger.nies.go.jp/JaLTER/metacat/metacat/ERDP-2024-06.1.2/jalter-en)
General Information:
Title:The long-term drive count and culling data of the sika deer (Cervus nippon) population introduced on Nakanoshima Island in Lake Toya, Hokkaido, Japan, during 1980-2023
Identifier:ERDP-2024-06.1.2
Abstract:
Cervid populations introduced to favorable habitats in confinement often increase excessively without predators and hunting. Overabundant deer populations impact the ecosystems and may cause damages to agriculture and forestry. Long-term count data on the changes in a deer population is essential to understand the relationship between the population dynamics and the natural vegetation. The introduced sika deer (Cervus nippon Temminck, 1836) population without predators on Nakanoshima Island, Hokkaido, Japan, showed repeated irruptions and declines with mass mortality and irregular culling between 1980s and 2000s. The overabundant deer significantly altered the natural vegetation, and density-dependent changes in population parameters such as body size and reproduction were observed. Here, we present the drive count and culling data to examine the population dynamics during 1980-2023. Deer were counted by 20-30 walking drivers and 2-3 observers on boats once per year in February or March. The number of counted deer rapidly increased from the original three introduced around 1960 to >270 deer (the first peak) in two decades and decreased by half due to starvation and the first culling. Thereafter, the number of counted deer continued to increase with a lower growth rate, reached a higher peak (>400, the second peak) than the first irruption in two decades, and decreased again by half due to starvation and the second culling. Although the number of counted deer increased again up to >300 in several years, it decreased and was maintained at around 100 deer with the annual culling program since 2012. The complete data set for this abstract published in the Data Article section of the journal is available in electronic format in MetaCat in JaLTER at http://db.cger.nies.go.jp/JaLTER/metacat/metacat/ERDP-2024-06.1/jalter-en.
Data Table, Image, and Other Data Details:
Metadata download: Ecological Metadata Language (EML) File
Data Table:TN_deer_drive_count_data.csv ( View Metadata | Download File download)
Other Data:data_descriptor_ERDP_2024_06.pdf ( View Metadata | Download File download)

Involved Parties

Data Set Owners:
Individual: Hiromasa Igota
Organization:Rakuno Gakuen University
Email Address:
igoth@rakuno.ac.jp
Individual: Hiroshi Takahashi
Organization:Tohoku Research Center, Forestry and Forest Products Research Center
Individual: Yukiko Matsuura
Organization:Hokkaido Research Center, Forestry and Forest Products Research Center
Individual: Takashi Ikeda
Organization:Shinshu University
Individual: Takuma Watanabe
Organization:Yezo Deer Association
Individual: Koichi Kaji
Organization:Tokyo University of Agriculture and Technology
Data Set Contacts:
Individual: Hiromasa Igota
Organization:Rakuno Gakuen University
Email Address:
igoth@rakuno.ac.jp

Data Set Characteristics

Geographic Region:
Geographic Description:World Geodetic System 84
Bounding Coordinates:
West:  140.85  degrees
East:  140.85  degrees
North:  42.6  degrees
South:  42.6  degrees
Time Period:
Begin:
1980
End:
2023
Taxonomic Range:
Classification:
Rank Name:Order
Rank Value:Artiodactyla
Classification:
Rank Name:Family
Rank Value:CERVIDAE
Classification:
Rank Name:Species
Rank Value:Cervus nippon Temminck, 1836

Sampling, Processing and Quality Control Methods

Step by Step Procedures
Step 1:
Description:

Methods

We counted deer in the daytime in February or March, when the visibility was more acceptable to find deer since deciduous leaves fell and the ground was covered by snow, once per year between 1980 and 2023, except three years, i.e., 41 times (Fig. 2). The counts in 1981, 1985, and 2022 were canceled because of another field work on the island, stormy weather, and the pandemic of coronavirus disease 2019 (COVID-19), respectively. We divided the study area into five blocks; 1) West Peak, 2) North Peak and Northeast Point, 3) East Peak, 4) the two small islets, and 5) South Ridge (Fig 3). Around ten drivers lined up at the highest ridge of each block and walked down to the lakefront, keeping the distance between adjacent drivers for 50-100 m, while an observer on a boat for each block counted deer using a binocular and recorded the number and sex-age class (fawn, i.e., juvenile, or adult, i.e., yearling and older) of deer in each deer group, depending on the body sizes and antlers. However, the distances between the observers and most of deer groups were too far to identify the sex-age class, so we presented only the number of counted deer in the data. The boat moved in the west side of West Peak and the east side of East Peak to search deer before the drivers lined up on the edges in Block 1 and 3, respectively. A few drivers counted deer in Block 4, small islets, without an observer on a boat. Drivers recorded deer not found from the boats. 16 drivers and one or two observers counted deer of all blocks in consecutive two days per year until 1984 (Kaji et al., 1988). The two-day counts during 1980-1983 might be unreliable, comparing to the count in 1984 which was carried out when 81 deer were kept in a corral trap for the first culling as above and more than 100 deer stayed around a feeder (Kaji et al., 1988). Since 1985, around 30 drivers and two or three observers did the same way in a day (Takeshita et al., 2016), i.e., Block 1 and 2 simultaneously in the morning and Block 3, 4, and 5 in the afternoon. Two vantage observers (three only in 2017) were located on and beside South Ridge since 1999 in order to find deer in blind spots from the boats and the drivers in the south face of North Peak, the upper stream between South Ridge and East Peak, and the west face of South Ridge (Fig. 3). Five (or six) and one time-lapse camera traps (Ltl-Acorn 6210; Ltl- Acorn Outdoors, Green Bay, Wisconsin, USA), with one still image at every 10-second intervals, were set in the upper stream between West Peak and South Ridge and the lakefront in Northeast Point, respectively, since 2017 in the same reason as the vantage observers (Fig. 3). Drivers and observers always discussed to exclude double counting just after the fieldwork on the day.

Data Set Usage Rights

CC BY-SA 4.0
Access Control:
Auth System:JaLTER
Order:allowFirst
Allow: [read] public
Metadata download: Ecological Metadata Language (EML) File