Qinghai Institute for Endemic Disease Prevention and Control, Xining, 811602, Qinghai, China.
Key Laboratory for Plague Control and Research of National Health Commission, Xining, 811602, Qinghai, China.
Sci Rep. 2023 Feb 2;13(1):1924. doi: 10.1038/s41598-023-28414-5.
To provide guidance for plague surveillance and a reliable basis for plague prevention and control, we analyzed the habitat characteristics of Himalayan marmots, developed Himalayan marmot information collection system V3.0 based on global navigation satellite system (GNSS), remote sensing, and geographic information system ("3S") technology, and drew a predictive spatial distribution map of Himalayan marmots in Qinghai Province. Field survey data of 352 marmot plague sites in Qinghai Province were collected in 2014, and the data from 80 sample sites were included. The Himalayan marmot habitat characteristics were analyzed based on "3S" technology using five environment variables (elevation, slope, aspect, vegetation cover, and grass type) and the geographical coordinates. Himalayan marmot information collection system V3.0, which has been approved by the National Copyright Administration of the People's Republic of China (No.00764743), was used to draw a predictive spatial distribution map of Himalayan marmots in Qinghai province. Moreover, from 2015 to 2017, positioning data of the plague-foci and plague-free areas in Qinghai Province were collected using GNSS receptor for field validations to verify the accuracy of the marmot predictive spatial distribution map. Elevation, slope, vegetation cover, and grassland type were identified as important environmental factors that determine the spatial distribution of Himalayan marmots. The suitable range of environmental features was 3400-4600 m elevation, 5°-20° slope, 0.60-1.00 vegetation cover, and alpine meadows. The Himalayan marmot predictive spatial distribution map in Qinghai Province based on "3S" technology and marmot information collection system V3.0 had a spatial resolution of 30 m. Field validation in areas of Qinghai Province revealed a prediction accuracy and mean absolute error of 0.8669 and 0.1331, respectively, which indicated excellent prediction accuracy. This study greatly improved the work efficiency of plague surveillance and effectively reduced the work intensity of researchers. Application of "3S" technology and marmot information collection system V3.0 has improved the data collection efficiency, provided new technical means for plague investigation and research, and provided a reference for development of plague surveillance programs. The research results will play a positive role in promoting the improvement and perfection of plague prevention and control strategies in Qinghai province and even in China.
为了为鼠疫监测提供指导,为鼠疫防控提供可靠依据,我们分析了喜马拉雅旱獭的生境特征,基于全球导航卫星系统(GNSS)、遥感和地理信息系统(“3S”)技术开发了喜马拉雅旱獭信息采集系统 V3.0,并绘制了青海省喜马拉雅旱獭的预测空间分布图。2014 年,我们在青海省采集了 352 个旱獭鼠疫点的实地调查数据,其中包括 80 个样本点的数据。我们利用“3S”技术,基于海拔、坡度、方位、植被覆盖度和草型等五个环境变量和地理位置坐标,对喜马拉雅旱獭的生境特征进行了分析。我们还使用了已获得中华人民共和国国家版权局(No.00764743)批准的喜马拉雅旱獭信息采集系统 V3.0,绘制了青海省喜马拉雅旱獭的预测空间分布图。此外,2015 年至 2017 年,我们使用 GNSS 接收机在青海省鼠疫疫点和非疫点采集了定位数据,进行了实地验证,以验证旱獭预测空间分布图的准确性。海拔、坡度、植被覆盖度和草原类型被确定为决定喜马拉雅旱獭空间分布的重要环境因素。环境特征的适宜范围为海拔 3400-4600 米、坡度 5°-20°、植被覆盖度 0.60-1.00 和高山草甸。基于“3S”技术和喜马拉雅旱獭信息采集系统 V3.0 的青海省喜马拉雅旱獭预测空间分布图的空间分辨率为 30 米。在青海省的实地验证中,预测的准确率和平均绝对误差分别为 0.8669 和 0.1331,表明预测精度非常高。这项研究极大地提高了鼠疫监测的工作效率,有效地降低了研究人员的工作强度。“3S”技术和喜马拉雅旱獭信息采集系统 V3.0 的应用提高了数据采集效率,为鼠疫调查研究提供了新的技术手段,为鼠疫监测方案的制定提供了参考。研究结果将为促进青海省乃至中国鼠疫防控策略的完善和完善发挥积极作用。