• Journal of the Korean Society of Environmental Restoration Technology
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• v.11 no.2
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• pp.19-27
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• 2008

Ecosystem fragmentation by human intervention breaks down the biosphere habitat. Wildlife corridors connect biosphere habitats to maintain ecosystem continuity and provide animals with connecting routes. In Korea, there are 17 existing wildlife corridors on highways (as of December, 2006. Korea Freeway Corporation). There are 24 highway routes, 2,923km of highway(as of December, 2004. Korea Freeway Corporation). However, wildlife corridors are not enough and roadkill increases every year, so we need to construct additional wildlife corridors on highways. This study proposes a new approach to the location of wildlife corridors on highways, using a comprehensive analysis method for main location elements, and applies it to a study area. First, it examines traditional approaches to location of wildlife corridors through literature review and field study to analyze the present conditions of existing wildlife corridors. Then, it developes a comprehensive analysis method for the location of wildlife corridors. (1) Field investigation : investigate planting, water bodies and so on. (2) Roadkill analysis : roadkill counts, locations, time, and so on. (3) Monitoring : animal traces were surveyed and sensor cameras were installed to determine target species. (4) Simulation for animal movement : most probable wildlife dispersal was simulated by a computer software. (5) A new comprehensive approach overlays all analysis on a map and determines the location of proposed new wildlife corridors. In conclusion, it proposes an over-bridge type wildlife corridor in Dalnaenae Hill (413-414km from Busan) and an underpass type near the entrance to Gwanhyun temple way (415-416km from Busan). This new approach based on roadkill data, computer simulation of wildlife dispersal, monitoring of animals, and site analysis, may contribute to better location of wildlife corridors on highways.

• Journal of Environmental Impact Assessment
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• v.20 no.6
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• pp.907-914
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• 2011

This study aims at monitoring the efficiency of wildlife corridor in the city of Sungnam, Gyunggi Province. During 2008-2010 for 13 months the CCTV in the city office followed number and population density using the wildlife corridor. Based on the monitoring Korean raccoon dog(Nyctereutes procyonoides) and water deer(Hydropotes inermis), Korean hare(Lepus coreanus), Korean yellow-weasel(Mustela sibirica), Korean squirrels(Sciurus vulgaris) used most often and counting 884 individuals.. This counts over 73% of targeted species and also verifies the project objectives. In future the monitoring should be increased and identify behavioral patterns focusing on ecological networks of previously fragmented habitats.

• Journal of the Korean Institute of Landscape Architecture
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• v.28 no.1
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• pp.70-82
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• 2000

This is a study to generate a theoretical base for the development of wildlife corridor as a solution to the problems of wildlife population size reduction and declining bio-diversity resulting from the fragmented habitats caused by road constructions. This study seeks to examine and define techniques in very aspect of wildlife corridor including planning, site selection, design and development, and maintenance through an actual application. The results of this study are as follows. 1) The wildlife corridor should be developed in an approach supplementing a landscape ecological approach and a restoration ecological approach bilaterally. To this end, systematic methodology and process are required. 2) It was restored an ecosystem as close as possible go to the forest ecosystem before road development. In addition, in order to allow it to function as an ecological corridor, topography restoration, stream development, and ecological plantation were implemented. 3) The result of monitoring activities that continued for one year since the development confirmed the migration and inhabitation of a number of animals including small mammals. It is judged that it functions as a corridor in fragmented habitats as initially expected. 4) Through continuous monitoring in the future, the effects of corridor development on ecological restoration need to be reviewed in a long-term perspective. There is also a need to develop and refine a comprehensive maintenance plan for wildlife corridors and their surroundings. Based on such study results, actual data on the development of wildlife corridor should be accumulated. In follow-up studies, after continuous monitoring for a long period of time, the effects of wildlife corridor development should be evaluated comprehensively and wildlife corridor applicable to Korea should be standardized by correcting disclosed problems.

• Korean Journal of Veterinary Research
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• v.60 no.1
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• pp.1-7
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• 2020

We investigated the genotypes of Leptospira spp. detected in symptomatic dogs in Thailand. During April to December 2012, 6 out of 41 client-owned dogs were diagnosed with leptospirosis based on polymerase chain reaction tests. All of the infected dogs showed clinical symptoms related to leptospirosis. Direct genotyping of the causative agent of the canine leptospirosis was conducted from the archival DNA samples extracted from urine or blood of those 6 infected dogs. Sequencing of the partial 16S rRNA and lipL32 genes from all samples identified Leptospira (L.) interrogans as the infecting species. Multilocus sequence typing tests were successful for 2 out of 6 samples. The sequence type (ST) was identified as ST50 for both samples where the profile corresponded to L. interrogans species and Bataviae serogroup. The presence of this genotype of Leptospira has never been reported in Thailand. Thus, our findings showed the existence of ST50 L. interrogans serogroup Bataviae and the ability to cause leptospirosis in dogs in Thailand.

• ALGAE
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• v.30 no.1
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• pp.49-58
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• 2015

In September 2007, reports of respiratory irritation and fish kills were received by the Florida Fish and Wildlife Conservation Commission (FWC) from the Jacksonville, Florida area. Water samples collected in this area indicated a bloom of Karenia brevis, the dinoflagellate that produces brevetoxin, which can cause neurotoxic shellfish poisoning. For the next four months, K. brevis was found along approximately 400 km of coastal and Intracoastal waterways from Jacksonville to Jupiter Inlet. This event represents the longest and most extensive red tide the east coast of Florida has experienced and the first time Karenia species other than K. brevis have been reported in this area. This extensive red tide influenced commercial and recreational shellfish harvesting activities along Florida's east coast. Fourteen shellfish harvesting areas (SHAs) were monitored weekly during this event and 10 SHAs were closed for an average of 53 days due to this red tide. The length of SHA closure was dependent on the shellfish species present. Interagency cooperation in monitoring this K. brevis bloom was successful in mitigating any human health impacts. Kernel density estimation was used to create geographic extent maps to help extrapolate discreet sample data points into $5km^2$ radius values for better visualization of the bloom.

• Journal of the Korean Society of Environmental Restoration Technology
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• v.26 no.4
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• pp.17-34
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• 2023

Camera trapping has been used as a non-invasive survey method that minimizes anthropogenic disturbance to ecosystems. Nevertheless, it is labor-intensive and time-consuming, requiring researchers to quantify species and populations. In this study, we aimed to improve the preprocessing of camera trapping data by utilizing an object detection algorithm. Wildlife monitoring using unmanned sensor cameras was conducted in a forested urban forest and a green space on a university campus in Cheonan City, Chungcheongnam-do, Korea. The collected camera trapping data were classified by a researcher to identify the occurrence of species. The data was then used to test the performance of the YOLO-X object detection algorithm for wildlife detection. The camera trapping resulted in 10,500 images of the urban forest and 51,974 images of green spaces on campus. Out of the total 62,474 images, 52,993 images (84.82%) were found to be false positives, while 9,481 images (15.18%) were found to contain wildlife. As a result of wildlife monitoring, 19 species of birds, 5 species of mammals, and 1 species of reptile were observed within the study area. In addition, there were statistically significant differences in the frequency of occurrence of the following species according to the type of urban greenery: Parus varius(t = -3.035, p < 0.01), Parus major(t = 2.112, p < 0.05), Passer montanus(t = 2.112, p < 0.05), Paradoxornis webbianus(t = 2.112, p < 0.05), Turdus hortulorum(t = -4.026, p < 0.001), and Sitta europaea(t = -2.189, p < 0.05). The detection performance of the YOLO-X model for wildlife occurrence was analyzed, and it successfully classified 94.2% of the camera trapping data. In particular, the number of true positive predictions was 7,809 images and the number of false negative predictions was 51,044 images. In this study, the object detection algorithm YOLO-X model was used to detect the presence of wildlife in the camera trapping data. In this study, the YOLO-X model was used with a filter activated to detect 10 specific animal taxa out of the 80 classes trained on the COCO dataset, without any additional training. In future studies, it is necessary to create and apply training data for key occurrence species to make the model suitable for wildlife monitoring.

• Korean Journal of Environment and Ecology
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• v.24 no.6
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• pp.763-771
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• 2010

The rapid increase of wildlife passage installation since the late 2000s was aimed to reduce roadkill caused by habitat fragmentation and losses related to road construction, but wildlife-vehicle collisions are now still occurred even near the wildlife passage area. This is the reason that the effectiveness of wildlife passage have not been evaluated in combination with absence of monitoring data and management strategy of the wildlife passage. The AHP method are used, in this study, to identify the evaluation factors affecting the effectiveness of the present 367 wildlife passages in a mitigation measures to reduce road effects on wildlife species. Ten evaluation factors are derived from third levels in the AHP analysis. Priority setting to identify appropriate management strategies in first level is selected among four second levels on facility, environment, wildlife species and management tool. The AHP analysis suggested that neighboring environments are the most important factor at the second level, and passage structure, harmony with natural surroundings, wildlife occurrence and monitoring of the passage are also important factors at the third levels. In summary, effective measurements of wildlife passage management is based on managing the passage with neighboring topography and natural surrounding. This is useful to establish wildlife passage management strategy in order to reduce the negative effects of roads on wildlife species.

• Journal of Ecology and Environment
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• v.38 no.1
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• pp.113-118
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• 2015

Conservation drones are remote-controlled devices capable of collecting information from difficult-to-access places while minimizing disturbance. Although drones are increasingly used in many research disciplines, their application to wildlife research remains to be explored in depth. This paper reports on the use of Phantom 2 Vision+ for monitoring areas in two national parks in South Korea. The first research area was conducted in Chiaksan National Park, and the second in Taeanhaean National Park. The aim of this research is to introduce ecologists and researchers alike to conservation drones and to show how these new tools have are fundamentally helping in the development of natural sciences. We also obtained photographs and videos of monitoring areas within our test site.

• Journal of Ecology and Environment
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• v.47 no.4
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• pp.211-218
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• 2023

Background: Traditional wildlife monitoring has often relied on invasive techniques posing risks to species and demanding substantial resources. To address this, camera traps emerged as non-invasive alternatives, albeit primarily tailored for larger mammals, posing limitations for small mammal research. Thus, the Mostela, an innovative tool designed to overcome these challenges, was introduced to monitor small mammals in South Korea. Results: The Mostela was deployed at two study sites in South Korea, yielding compelling evidence of its efficiency in capturing small mammal species. By analyzing the collected data, we calculated the relative abundance of each species and elucidated their activity patterns. Conclusions: In summary, the Mostela system demonstrates substantial potential for advancing small mammal monitoring, offering valuable insights into diversity, community dynamics, activity patterns, and habitat preferences. Its application extends to the detection of endangered and rare species, further contributing to wildlife conservation efforts in South Korea. Consequently, the Mostela system stands as a valuable addition to the toolkit of conservationists and researchers, fostering ethical and non-invasive research practices while advancing our understanding of small mammal populations and ecosystems.

• Journal of Information Technology Services
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• v.14 no.1
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• pp.159-173
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• 2015

This paper presents a study on the Internet of Things based low-power wireless sensor networks for remote monitoring of wildlife ecosystem due to climate change. Especially, it is targeting the wild vegetation communities ecological monitoring. First, we performed a pre-test and analysis for selecting the appropriate frequency for the sensor network to collect and deliver information reliably in harsh propagation environment of the forest area, and selected for sensors for monitoring wild vegetation communities on the basis of considerations for selecting the best sensor. In addition, we have presented the platform concept and hierarchical function structures for effectively monitoring, analyzing and predicting of ecosystem changes, to apply the Internet of Things in the ecological monitoring area. Based on this, this paper presents the system architecture and design of the Internet of Things based low-power wireless sensor networks for monitoring the ecosystem of the wild vegetation communities. Finally, we constructed and operated the test-bed applied to real wild trees, using the developed prototype based on the design.