Flexible VHF Animal Collar Antenna for GPS-Aided Wildlife Tracking

2014 ◽  
pp. 163-186
Author(s):  
Sungjong Yoo ◽  
Kathleen L. Melde
Keyword(s):  
Wildlife Tracking

scholarly journals An accuracy assessment of global navigation wildlife-tracking collars in the southern clilean Patagonia

2012 ◽  
Vol 40 (1) ◽  
pp. 105-113 ◽  
Author(s):  
Kirstin Lawrence-Apfel ◽  
Thomas H Meyer ◽  
Kazi Arifuzzaman ◽  
Isaac M Ortega
Keyword(s):  
Accuracy Assessment ◽  
Wildlife Tracking ◽  
Global Navigation

scholarly journals Empirical Analysis and Modeling of Argos Doppler Location Errors in Romania

2018 ◽  
Author(s):  
Laurentiu Rozylowicz ◽  
Florian P. Bodescu ◽  
Cristiana M. Ciocanea ◽  
Athanasios A. Gavrilidis ◽  
Steluta Manolache ◽  
...  
Keyword(s):  
High Speed ◽  
Spatial Ecology ◽  
Local Environment ◽  
Quality Data ◽  
Aquatic Animal ◽  
Location Errors ◽  
Wildlife Tracking ◽  
Doppler Data ◽  
Proper Filter ◽  
And Behavior

ABSTRACTBackgroundAdvances in wildlife tracking technology have allowed researchers to understand the spatial ecology of many terrestrial and aquatic animal species. Argos Doppler is a technology that is widely used for wildlife tracking owing to the small size and low weight of the Argos transmitters. This allows them to be fitted to small-bodied species. The longer lifespan of the Argos units in comparison to units outfitted with miniaturized global positioning system (GPS) technology has also recommended their use. In practice, large Argos location errors often occur due to communication conditions such as transmitter settings, local environment, and the behavior of the tracked individual.MethodsConsidering the geographic specificity of errors and the lack of benchmark studies in Eastern Europe, the research objectives were: (1) to evaluate the accuracy of Argos Doppler technology under various environmental conditions in Romania, (2) to investigate the effectiveness of straightforward destructive filters for improving Argos Doppler data quality, and (3) to provide guidelines for processing Argos Doppler wildlife monitoring data. The errors associated with Argos locations in four geographic locations in Romania were assessed during static, low-speed and high-speed tests. The effectiveness of the Douglas Argos distance angle filter algorithm was then evaluated to ascertain its effect on the minimization of localization errors.ResultsArgos locations received in the tests had larger associated horizontal errors than those indicated by the operator of the Argos system, including under ideal reception conditions. Positional errors were similar to those obtained in other studies outside of Europe. The errors were anisotropic, with larger longitudinal errors for the vast majority of the data. Errors were mostly related to speed of the Argos transmitter at the time of reception, but other factors such as topographical conditions and orientation of antenna at the time of the transmission also contributed to receiving low-quality data. The Douglas-Argos filter successfully excluded the largest errors while retaining a large amount of data when the threshold was set to the local scale (2 km).DiscussionFilter selection requires knowledge about the movement patterns and behavior of the species of interest, and the parametrization of the selected filter typically requires a trial and error approach. Selecting the proper filter reduces the errors while retaining a large amount of data. However, the post-processed data typically includes large positional errors; thus, we recommend incorporating Argos error metrics such as error ellipse or use complex modeling approaches when working with filtered data.

scholarly journals Treatment of a forelimb fracture and rehabilitation of a free-ranging Iberian Wolf (Canis lupus signatus)

2016 ◽  
Vol 36 (5) ◽  
pp. 412-416 ◽  
Author(s):  
Filipe C. Silva ◽  
Roberto F. Sargo ◽  
Luís C. Sousa ◽  
Helena Rio-Maior ◽  
Ricardo Brandão ◽  
...  
Keyword(s):  
Canis Lupus ◽  
Wound Management ◽  
Long Bone ◽  
Operative Care ◽  
Wildlife Tracking ◽  
Osteosynthesis Plate ◽  
The Right ◽  
Free Ranging ◽  
Canis Lupus Signatus ◽  
Iberian Wolf

Abstract: The surgical treatment of an exposed compounded comminuted fracture of the right radius and ulna in a free-ranging adult female Iberian Wolf (Canis lupus signatus) with an osteosynthesis plate and screws and subsequent post-operative care are described. The evolution of the fracture healing was very similar to those expected in a dog of the same size. The prompt surgical intervention and a proper housing, feeding and wound management adapted to a free-ranging wolf, in view to reduce manipulation and post-operative complications, allowed the subsequent rehabilitation and release of the animal. After 10th post-operative weeks the wolf was fitted with a Global Positioning System (GPS) for wildlife tracking collar and released in the same area where it has been caught. GPS telemetry data showed that the animal covered increasingly large distances confirming a complete functionality of the right thoracic limb and its successfully return to the wild. This report could constitute the first detailed report of a long bone fracture treatment in a free-ranging wolf and its successfully rehabilitation, release and adaptation to the wild.

scholarly journals Lightweight low-cost wildlife tracking tags using integrated transceivers

2014 ◽  
Author(s):  
Sivan Toledo ◽  
Oren Kishon ◽  
Yotam Orchan ◽  
Yoav Bartan ◽  
Nir Sapir ◽  
...  
Keyword(s):  
Low Cost ◽  
Wildlife Tracking

scholarly journals Empirical analysis and modeling of Argos Doppler location errors in Romania

PeerJ ◽  
2019 ◽  
Vol 7 ◽  
pp. e6362 ◽  
Author(s):  
Laurentiu Rozylowicz ◽  
Florian P. Bodescu ◽  
Cristiana M. Ciocanea ◽  
Athanasios A. Gavrilidis ◽  
Steluta Manolache ◽  
...  
Keyword(s):  
High Speed ◽  
Spatial Ecology ◽  
Local Environment ◽  
Quality Data ◽  
Aquatic Animal ◽  
Location Errors ◽  
Wildlife Tracking ◽  
Doppler Data ◽  
Proper Filter ◽  
And Behavior

Background Advances in wildlife tracking technology have allowed researchers to understand the spatial ecology of many terrestrial and aquatic animal species. Argos Doppler is a technology that is widely used for wildlife tracking owing to the small size and low weight of the Argos transmitters. This allows them to be fitted to small-bodied species. The longer lifespan of the Argos units in comparison to units outfitted with miniaturized global positioning system (GPS) technology has also recommended their use. In practice, large Argos location errors often occur due to communication conditions such as transmitter settings, local environment, and the behavior of the tracked individual. Methods Considering the geographic specificity of errors and the lack of benchmark studies in Eastern Europe, the research objectives were: (1) to evaluate the accuracy of Argos Doppler technology under various environmental conditions in Romania, (2) to investigate the effectiveness of straightforward destructive filters for improving Argos Doppler data quality, and (3) to provide guidelines for processing Argos Doppler wildlife monitoring data. The errors associated with Argos locations in four geographic locations in Romania were assessed during static, low-speed and high-speed tests. The effectiveness of the Douglas Argos distance angle filter algorithm was then evaluated to ascertain its effect on the minimization of localization errors. Results Argos locations received in the tests had larger associated horizontal errors than those indicated by the operator of the Argos system, including under ideal reception conditions. Positional errors were similar to those obtained in other studies outside of Europe. The errors were anisotropic, with larger longitudinal errors for the vast majority of the data. Errors were mostly related to speed of the Argos transmitter at the time of reception, but other factors such as topographical conditions and orientation of antenna at the time of the transmission also contributed to receiving low-quality data. The Douglas Argos filter successfully excluded the largest errors while retaining a large amount of data when the threshold was set to the local scale (two km). Discussion Filter selection requires knowledge about the movement patterns and behavior of the species of interest, and the parametrization of the selected filter typically requires a trial and error approach. Selecting the proper filter reduces the errors while retaining a large amount of data. However, the post-processed data typically includes large positional errors; thus, we recommend incorporating Argos error metrics (e.g., error ellipse) or use complex modeling approaches when working with filtered data.

scholarly journals A large-scale automated radio telemetry network for monitoring movements of terrestrial wildlife in Australia

2020 ◽  
Vol 40 (3) ◽  
pp. 379-391 ◽  
Author(s):  
Andrea S. Griffin ◽  
Culum Brown ◽  
Bradley K. Woodworth ◽  
Guy-Anthony Ballard ◽  
Stuart Blanch ◽  
...  
Keyword(s):  
Open Source ◽  
Large Scale ◽  
Radio Telemetry ◽  
Research Effort ◽  
Tracking System ◽  
Global Network ◽  
Tracking Systems ◽  
System A ◽  
Wildlife Tracking ◽  
Conservation Funding

Technologies for remotely observing animal movements have advanced rapidly in the past decade. In recent years, Australia has invested in an Integrated Marine Ocean Tracking (IMOS) system, a land ecosystem observatory (TERN), and an Australian Acoustic Observatory (A2O), but has not established movement tracking systems for individual terrestrial animals across land and along coastlines. Here, we make the case that the Motus Wildlife Tracking System, an open-source, rapidly expanding cooperative automated radio-tracking global network (Motus, https://motus.org ) provides an unprecedented opportunity to build an affordable and proven infrastructure that will boost wildlife biology research and connect Australian researchers domestically and with international wildlife research. We briefly describe the system conceptually and technologically, then present the unique strengths of Motus, how Motus can complement and expand existing and emerging animal tracking systems, and how the Motus framework provides a much-needed central repository and impetus for archiving and sharing animal telemetry data. We propose ways to overcome the unique challenges posed by Australia’s ecological attributes and the size of its scientific community. Open source, inherently cooperative and flexible, Motus provides a unique opportunity to leverage individual research effort into a larger collaborative achievement, thereby expanding the scale and scope of individual projects, while maximising the outcomes of scant research and conservation funding.

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