{"title":"在没有个体识别的情况下使用相机陷阱估算斯里兰卡马杜鲁奥亚国家公园中食肉动物的种群密度","authors":"D. Jayasekara, D. Mahaulpatha, S. Miththapala","doi":"10.4404/HYSTRIX-00452-2021","DOIUrl":null,"url":null,"abstract":"Reliable population estimates are crucial for the conservation and management of faunal species. Population data of meso-mammal carnivores in Sri Lanka, as well as elsewhere in the world, is scarce. We estimated population densities of meso-mammal carnivores in Maduru Oya Na- tional Park (MONP) using Random Encounter Model (REM) and Camera Trap Distance Sampling (CTDS) methods in this study. A total of 3402 camera trapping days yielded 3357 video captures of 69 different animal taxa including 658 video captures of meso-mammal carnivores. In this study, we recorded all 12 meso-mammal carnivore species found on the island. The two density estim- ate methods generated similar population estimates indicating that both methods are compatible to be applied in tropical forest habitats for meso-carnivore species. We identify MONP as an area with high richness for the focal species. The study also generated movement speed, activity patterns, activity levels, and day ranges for the focal species, which will be useful for future research. We discuss the population density estimates for different meso-carnivore species and the use of REM and CTDS density estimation methods and their applicability to a tropical meso-carnivore community.","PeriodicalId":55036,"journal":{"name":"Hystrix-Italian Journal of Mammalogy","volume":"75 1","pages":""},"PeriodicalIF":1.8000,"publicationDate":"2021-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Population density estimation of meso-mammal carnivores using camera traps without the individual recognition in Maduru Oya National Park, Sri Lanka\",\"authors\":\"D. Jayasekara, D. Mahaulpatha, S. Miththapala\",\"doi\":\"10.4404/HYSTRIX-00452-2021\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Reliable population estimates are crucial for the conservation and management of faunal species. Population data of meso-mammal carnivores in Sri Lanka, as well as elsewhere in the world, is scarce. We estimated population densities of meso-mammal carnivores in Maduru Oya Na- tional Park (MONP) using Random Encounter Model (REM) and Camera Trap Distance Sampling (CTDS) methods in this study. A total of 3402 camera trapping days yielded 3357 video captures of 69 different animal taxa including 658 video captures of meso-mammal carnivores. In this study, we recorded all 12 meso-mammal carnivore species found on the island. The two density estim- ate methods generated similar population estimates indicating that both methods are compatible to be applied in tropical forest habitats for meso-carnivore species. We identify MONP as an area with high richness for the focal species. The study also generated movement speed, activity patterns, activity levels, and day ranges for the focal species, which will be useful for future research. We discuss the population density estimates for different meso-carnivore species and the use of REM and CTDS density estimation methods and their applicability to a tropical meso-carnivore community.\",\"PeriodicalId\":55036,\"journal\":{\"name\":\"Hystrix-Italian Journal of Mammalogy\",\"volume\":\"75 1\",\"pages\":\"\"},\"PeriodicalIF\":1.8000,\"publicationDate\":\"2021-10-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Hystrix-Italian Journal of Mammalogy\",\"FirstCategoryId\":\"99\",\"ListUrlMain\":\"https://doi.org/10.4404/HYSTRIX-00452-2021\",\"RegionNum\":4,\"RegionCategory\":\"生物学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ZOOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Hystrix-Italian Journal of Mammalogy","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.4404/HYSTRIX-00452-2021","RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ZOOLOGY","Score":null,"Total":0}
Population density estimation of meso-mammal carnivores using camera traps without the individual recognition in Maduru Oya National Park, Sri Lanka
Reliable population estimates are crucial for the conservation and management of faunal species. Population data of meso-mammal carnivores in Sri Lanka, as well as elsewhere in the world, is scarce. We estimated population densities of meso-mammal carnivores in Maduru Oya Na- tional Park (MONP) using Random Encounter Model (REM) and Camera Trap Distance Sampling (CTDS) methods in this study. A total of 3402 camera trapping days yielded 3357 video captures of 69 different animal taxa including 658 video captures of meso-mammal carnivores. In this study, we recorded all 12 meso-mammal carnivore species found on the island. The two density estim- ate methods generated similar population estimates indicating that both methods are compatible to be applied in tropical forest habitats for meso-carnivore species. We identify MONP as an area with high richness for the focal species. The study also generated movement speed, activity patterns, activity levels, and day ranges for the focal species, which will be useful for future research. We discuss the population density estimates for different meso-carnivore species and the use of REM and CTDS density estimation methods and their applicability to a tropical meso-carnivore community.
期刊介绍:
Hystrix the Italian Journal of Mammalogy accepts papers on original research in basic and applied mammalogy on fossil and living mammals. The Journal is published both in paper and electronic "online first" format. Manuscripts can be published as full papers or short notes, as well as reviews on methods or theoretical issues related to mammals. Commentaries can also be occasionally accepted, under the approval by the Editor in Chief. Investigations of local or regional interest, new data about species distribution and range extensions or confirmatory research can be considered only when they have significant implications. Such studies should preferably be submitted as short notes. Manuscripts bearing only a local interest will not be accepted.
Full papers have no limits in length as well as in figure and table number and are abstracted in English. Authors are encouraged to add supplemental material in form of colour figures, original datasets and/or computer program source code.
Supplemental material and colour figures will appear only on the electronic edition.
Short notes must be about 16000 characters long (including title, author names and affiliations, abstract and references), and do not include supplemental material. They are abstracted in English.
Proceedings of symposia, meetings and/or workshops, and technical reports can be published as special supplements to regular issues, under the approval by the Editor in Chief and the Associate Editors.
There are no page charges.