Seasonal activity changes in raccoon dogs and influences of environmental factors from autumn to winter
Data files
Apr 30, 2025 version files 21.55 KB
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mammalian_environmental_raw_data.csv
18.60 KB
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README.md
2.94 KB
Abstract
Raccoon dogs Nyctereutes procyonoides are on the List of National Key Protected Wild Animals as Grade II in China; research on their wild populations is limited despite their conservation significance. In this context, we focused on seasonal activity changes from autumn to winter and their relationship to environmental and mammalian factors. Using 71 trail cameras from October 15, 2023, to February 29, 2024, in the Sizuolou Nature Reserve in Beijing, China, this study is the first to examine these specific aspects within the country. Our findings revealed a statistically significant change in raccoon dog activity from autumn to winter. This suggests they may enter short periods of winter sleep, as indicated by the 20-day intervals without camera detections. The average re-photographing interval was 2.62 ± 3.41 (SD) days. In the daily activity pattern, kernel density estimation indicated that raccoon dogs were nocturnal in both seasons; however, daytime activity was observed only in autumn. Our results revealed that proximity to agricultural land negatively affected and the presence of Siberian roe deer positively influenced the number of raccoon dog events. Additionally, our results supported the previous categorisation of raccoon dogs into two habitat types, with our study population being near the type that avoids agricultural land. Our findings suggested that raccoon dogs and Siberian roe deer co-occur due to raccoon dogs preferring habitats that were also favoured by deer.
Dataset DOI: 10.5061/dryad.c866t1gjn
Description of the data and file structure
Title: Mammalian and Environmental Raw Data for Raccoon Dogs Seasonal Activity Study
File: mammalian_environmental_raw_data.csv
Description:
This dataset supports the analysis of seasonal activity changes in raccoon dogs (Nyctereutes procyonoides) in the Sizuolou Nature Reserve, Beijing, China, from autumn to winter. It includes records of mammalian detection events collected by camera traps, along with associated environmental variables.
License:
This dataset is shared under the CC0 1.0 Universal (CC0 1.0) Public Domain Dedication.
Files and variables
File: mammalian_environmental_raw_data.csv
Description: Raw data containing mammalian detection events and environmental variables related to each camera installation point.
Variables
- Pt: Camera installation point ID
- Asian badger: Number of detection events
- Boar: Number of detection events
- Hog badger: Number of detection events
- Leopard cat: Number of detection events
- Masked palm civet: Number of detection events
- Pere David's rock squirrel: Number of detection events
- Raccoon dog: Number of detection events
- Red squirrel: Number of detection events
- Siberian roe deer: Number of detection events
- Siberian weasel: Number of detection events
- Swinhoe's striped squirrel: Number of detection events
- Tolai hare: Number of detection events
- Impervious areas: The distance from the camera installation point to the nearest impervious area (meters)
- Agricultural land: The distance from the camera installation point to the nearest agricultural land (meters)
- Water sources: The distance from the camera installation point to the nearest water source (meters)
- Roads: The distance from the camera installation point to the nearest road (meters)
- Altitude: Altitude of camera installation point (unit: meters above sea level)
- TPI: Topographic Position Index of the camera installation point
- Day: Date of detection (camera trapping period: October 15, 2023 – February 29, 2024)
- Season: Season at time of detection (autumn/winter)
- Vegetation: Type of vegetation at the camera installation point
Note: The name "Père David’s rock squirrel" is written as "Pere David’s rock squirrel" in the CSV file, without the diacritic on "Père".
Access information
Data was derived from the following sources:
- National Catalogue Service for Geographic Information (www.webmap.cn)
- Yang, J. and Huang, X. (2023). The 30 m annual land cover datasets and their dynamics in China from 1985 to 2022. Earth Syst. Sci. Data, 15, 3907–3925.
- U.S. Geological Survey for Digital Elevation Model (https://earthexplorer.usgs.gov/).
