An initial coprological survey of parasitic fauna in the wild Amur leopard (<i>Panthera pardus orientalis</i>)

Hou, Zhuoni; Peng, Zhiwei; Yao, Ning; Liu, Dan; Chai, Hongliang; Jiang, Guangshun

doi:10.1111/1749-4877.12435

Cited by 7 publications

(5 citation statements)

References 59 publications

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“…A careful analysis [10] of the literature cited in [9] has indicated that this is not the case, because none of these papers contained definite evidence (Table 2). Records in wild felids from South America [50] and other reports [44,46,47,49] are also questionable (Table 2). Nonetheless, recent morphological and genetic data have shown the unequivocal capability of A. abstrusus to infect wild felids.…”

Section: Aelurostrongylus Abstrusus and Wild Felidsmentioning

confidence: 94%

Felid Cardiopulmonary Nematodes: Dilemmas Solved and New Questions Posed

et al. 2021

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In the past decade cardiopulmonary nematodes affecting felids have become a core research topic in small animal parasitology. In the late 2000s, an increase in studies was followed by unexpected findings in the early 2010s, which have stimulated research teams to start investigating these intriguing parasites. Prolific scientific debate and exchanges have then fostered field and laboratory studies and epizootiological surveys. New data have improved basic and applied knowledge, solved dilemmas and posed new questions. This article discusses the past and present background to felid cardiopulmonary nematodes after the last few years of intense scientific research. New data which have demonstrated the key role of Aelurostrongylus abstrusus and Troglostrongylus brevior in causing respiratory infections in domestic cats, and on the nil to negligible current importance of other species, i.e., Troglostrongylus subcrenatus, Oslerus rostratus and Angiostrongylus chabaudi, are presented. Biological information and hypothesized alternative routes of infection are analysed and discussed. Novel identification and taxonomical data and issues are reported and commented upon. On the whole, recent biological, ecological and epizootiological information on felid metastrongyloids is critically analysed, with the aim to answer outstanding questions, stimulate future studies, and underline new research perspectives.

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Section: Aelurostrongylus Abstrusus and Wild Felidsmentioning

confidence: 94%

Felid Cardiopulmonary Nematodes: Dilemmas Solved and New Questions Posed

et al. 2021

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“…For studies at the population-level or disease surveillance, fresh faeces can be collected directly from the habitat (e.g., from pastures, dwellings, latrines, or under nesting sites, depending on the species) without any direct contact with the animal (wild cats Felis silvestris silvestris [86]; badgers Meles meles [87]; Gentoo penguins Pygoscelis papua [88]; several Carnivora and Artiodactyla species in Brazil [89]; Amur leopards Panthera pardus orientalis [90]; wolverines Gulo gulo [42]). In the case of large mammals, GPS-telemetry might be useful to monitor animal movements and locate areas where faeces are most likely to be found, as it was conducted by Van der Goot and colleagues [77] on southern white rhinoceros or by Di Francesco and colleagues [91] on wolf (Canis lupus) packs.…”

Section: Faecesmentioning

confidence: 99%

A Review of Non-Invasive Sampling in Wildlife Disease and Health Research: What’s New?

Schilling

Mazzamuto

Romeo

2022

Animals

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In the last decades, wildlife diseases and the health status of animal populations have gained increasing attention from the scientific community as part of a One Health framework. Furthermore, the need for non-invasive sampling methods with a minimal impact on wildlife has become paramount in complying with modern ethical standards and regulations, and to collect high-quality and unbiased data. We analysed the publication trends on non-invasive sampling in wildlife health and disease research and offer a comprehensive review on the different samples that can be collected non-invasively. We retrieved 272 articles spanning from 1998 to 2021, with a rapid increase in number from 2010. Thirty-nine percent of the papers were focussed on diseases, 58% on other health-related topics, and 3% on both. Stress and other physiological parameters were the most addressed research topics, followed by viruses, helminths, and bacterial infections. Terrestrial mammals accounted for 75% of all publications, and faeces were the most widely used sample. Our review of the sampling materials and collection methods highlights that, although the use of some types of samples for specific applications is now consolidated, others are perhaps still underutilised and new technologies may offer future opportunities for an even wider use of non-invasively collected samples.

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“…Since Amur tiger (Panthera tigris altaica) are wandering across the Sino-Russia border areas, it has attracted considerable attention as monitoring, protecting, and saving this endangered rare big predator and their prey species are popular topics of interest (Hou et al 2020;Qi et al 2021Qi et al , 2022Wang et al 2021). In this study, we used UAV and infrared cameras as video acquisition equipment, and infrared thermal pictures of Amur tigers and their main prey, such as sika deer (Cervus nippon), roe deer (Capreolus pygargus), reindeer (Rangifer tarandus), and red deer (Cervus elaphus) (Gu et al 2018), as the research objects.…”

Section: Introductionmentioning

confidence: 99%

“…Since Amur tiger ( Panthera tigris altaica ) are wandering across the Sino‐Russia border areas, it has attracted considerable attention as monitoring, protecting, and saving this endangered rare big predator and their prey species are popular topics of interest (Hou et al. 2020; Qi et al. 2021, 2022; Wang et al.…”

Section: Introductionmentioning

confidence: 99%

Recognition of big mammal species in airborne thermal imaging based on YOLO V5 algorithm

et al. 2022

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Unmanned aerial vehicle (UAV) technology, artificial intelligence, and the relevant hardware can be used for monitoring wild animals. However, existing methods have several limitations. Therefore, this study explored the monitoring and protection of Amur tigers and their main prey species using images from UAVs by optimizing the algorithm models with respect to accuracy, model size, recognition speed, and elimination of environmental interference. Thermal imaging data were collected from 2000 pictures with a thermal imaging lens on a DJI M300RTK UAV at the Hanma National Nature Reserve in the Greater Khingan Mountains in Inner Mongolia, Wangqing National Nature Reserve in Jilin Province, and Siberian Tiger Park in Heilongjiang Province. The YOLO V5s algorithm was applied to recognize the animals in the pictures. The accuracy rate was 94.1%, and the size of the model weight (total weight of each model layer trained with the training set) was 14.8 MB. The authors improved the structures and parameters of the YOLO V5s algorithm. As a result, the recognition accuracy rate became 96%, and the model weight was 9.3 MB. The accuracy rate increased by 1.9%, the model weight decreased by 37.2% from 14.8 MB to 9.3 MB, and the recognition time of a single picture was shortened by 34.4% from 0.032 to 0.021 s. This not only increases the recognition accuracy but also effectively lowers the hardware requirements that the algorithm relies on, which provides a lightweight fast recognition method for UAV-based edge computing and online investigation of wild animals.

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An initial coprological survey of parasitic fauna in the wild Amur leopard (Panthera pardus orientalis)

Cited by 7 publications

References 59 publications

Felid Cardiopulmonary Nematodes: Dilemmas Solved and New Questions Posed

Felid Cardiopulmonary Nematodes: Dilemmas Solved and New Questions Posed

A Review of Non-Invasive Sampling in Wildlife Disease and Health Research: What’s New?

Recognition of big mammal species in airborne thermal imaging based on YOLO V5 algorithm

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