{"title":"用无人机扫描同域梅花鹿和日本服务:日本中部浅间山的方法论试验","authors":"Takehiko Y. Ito, Yuko Fukue, Masato Minami","doi":"10.1111/grs.12404","DOIUrl":null,"url":null,"abstract":"<p>The negative impacts of sika deer (<i>Cervus nippon</i>) on Japanese serows (<i>Capricornis crispus</i>) are a subject of concern in the mountainous regions of Japan. To develop a methodology to collect information with regard to the abundance and habitat selection of sympatric large mammals using drones (unmanned aerial vehicles; UAVs) equipped with thermal infrared and red-green-blue (RGB) sensors, surveys were conducted at night and in the early morning in a high mountainous habitat. Despite the similar size and shape in thermal infrared images for sika deer and Japanese serows, species identification based on body color using RGB images was possible during the period from dawn to early morning. The UAV surveys also revealed the large abundance of deer (>40 deer/km<sup>2</sup>) and suggested different habitat selection between deer and serows in the alpine grassland. Our results were the first snapshots of sympathetic deer and serow distribution. UAV surveys using both thermal infrared and RGB sensors in early morning could be useful for research and monitoring of large mammals in open areas, such as grasslands, marshlands, high mountains, farmlands and drylands.</p>","PeriodicalId":56078,"journal":{"name":"Grassland Science","volume":"69 4","pages":"277-283"},"PeriodicalIF":1.1000,"publicationDate":"2023-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Scanning sympatric sika deer and Japanese serows using drones: A methodological trial in Mt. Asama, Central Japan\",\"authors\":\"Takehiko Y. Ito, Yuko Fukue, Masato Minami\",\"doi\":\"10.1111/grs.12404\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>The negative impacts of sika deer (<i>Cervus nippon</i>) on Japanese serows (<i>Capricornis crispus</i>) are a subject of concern in the mountainous regions of Japan. To develop a methodology to collect information with regard to the abundance and habitat selection of sympatric large mammals using drones (unmanned aerial vehicles; UAVs) equipped with thermal infrared and red-green-blue (RGB) sensors, surveys were conducted at night and in the early morning in a high mountainous habitat. Despite the similar size and shape in thermal infrared images for sika deer and Japanese serows, species identification based on body color using RGB images was possible during the period from dawn to early morning. The UAV surveys also revealed the large abundance of deer (>40 deer/km<sup>2</sup>) and suggested different habitat selection between deer and serows in the alpine grassland. Our results were the first snapshots of sympathetic deer and serow distribution. UAV surveys using both thermal infrared and RGB sensors in early morning could be useful for research and monitoring of large mammals in open areas, such as grasslands, marshlands, high mountains, farmlands and drylands.</p>\",\"PeriodicalId\":56078,\"journal\":{\"name\":\"Grassland Science\",\"volume\":\"69 4\",\"pages\":\"277-283\"},\"PeriodicalIF\":1.1000,\"publicationDate\":\"2023-05-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Grassland Science\",\"FirstCategoryId\":\"97\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1111/grs.12404\",\"RegionNum\":4,\"RegionCategory\":\"农林科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"AGRICULTURE, MULTIDISCIPLINARY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Grassland Science","FirstCategoryId":"97","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1111/grs.12404","RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"AGRICULTURE, MULTIDISCIPLINARY","Score":null,"Total":0}
Scanning sympatric sika deer and Japanese serows using drones: A methodological trial in Mt. Asama, Central Japan
The negative impacts of sika deer (Cervus nippon) on Japanese serows (Capricornis crispus) are a subject of concern in the mountainous regions of Japan. To develop a methodology to collect information with regard to the abundance and habitat selection of sympatric large mammals using drones (unmanned aerial vehicles; UAVs) equipped with thermal infrared and red-green-blue (RGB) sensors, surveys were conducted at night and in the early morning in a high mountainous habitat. Despite the similar size and shape in thermal infrared images for sika deer and Japanese serows, species identification based on body color using RGB images was possible during the period from dawn to early morning. The UAV surveys also revealed the large abundance of deer (>40 deer/km2) and suggested different habitat selection between deer and serows in the alpine grassland. Our results were the first snapshots of sympathetic deer and serow distribution. UAV surveys using both thermal infrared and RGB sensors in early morning could be useful for research and monitoring of large mammals in open areas, such as grasslands, marshlands, high mountains, farmlands and drylands.
Grassland ScienceAgricultural and Biological Sciences-Agronomy and Crop Science
CiteScore
2.70
自引率
7.70%
发文量
38
审稿时长
>12 weeks
期刊介绍:
Grassland Science is the official English language journal of the Japanese Society of Grassland Science. It publishes original research papers, review articles and short reports in all aspects of grassland science, with an aim of presenting and sharing knowledge, ideas and philosophies on better management and use of grasslands, forage crops and turf plants for both agricultural and non-agricultural purposes across the world. Contributions from anyone, non-members as well as members, are welcome in any of the following fields:
grassland environment, landscape, ecology and systems analysis;
pasture and lawn establishment, management and cultivation;
grassland utilization, animal management, behavior, nutrition and production;
forage conservation, processing, storage, utilization and nutritive value;
physiology, morphology, pathology and entomology of plants;
breeding and genetics;
physicochemical property of soil, soil animals and microorganisms and plant
nutrition;
economics in grassland systems.