A pilot study on the home range and movement patterns of the Andean Fox Lycalopex culpaeus (Molina, 1782) in Cotopaxi National Park, Ecuador

Mammalia ◽  
2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Armando Castellanos ◽  
Francisco X. Castellanos ◽  
Roland Kays ◽  
Jorge Brito

Abstract This study reports movement patterns and home range estimates of an Andean fox (Lycalopex culpaeus) in Cotopaxi National Park in Ecuador, representing the first GPS-tagging of the species. The GPS functioned well during the 197-day tracking period. Home range sizes ranged between 4.9 and 8.1 km2, depending on the estimation method. Movement speeds averaged 0.17 km/h at day versus 0.87 km/h at night, and distance traveled averaged 0.23 km at day versus 0.89 km at night. These preliminary results highlight the importance of collecting unbiased, high-quality data which enables an enhanced understanding on mammal behavior and human/animal interaction.

2021 ◽  
Author(s):  
Armando Castellanos ◽  
Francisco X. Castellanos ◽  
Roland Kays ◽  
Jorge Brito

AbstractHere we report movement patterns and home range estimates of an Andean fox (Lycalopex culpaeus) in Cotopaxi National Park, representing the first GPS-tagging of the species. The GPS functioned well during the 197-day tracking period. Home range sizes ranged between 4.9 - 8.1 km2, depending on the estimation method. Movement speeds averaged 0.17 km/hr. at day vs. 0.87 km/hr. at night, and distance traveled averaged 0.23 km at day vs. 0.89 km at night. These results are part of research in Ecuador studying the behavior and interactions of mammals with other species and humans.


2015 ◽  
Vol 3 (1) ◽  
Author(s):  
Kristen M Hart ◽  
Michael S Cherkiss ◽  
Brian J Smith ◽  
Frank J Mazzotti ◽  
Ikuko Fujisaki ◽  
...  

2018 ◽  
Vol 80 (8) ◽  
pp. e22897 ◽  
Author(s):  
Jennifer F. Moore ◽  
Felix Mulindahabi ◽  
Gratien Gatorano ◽  
Protais Niyigaba ◽  
Innocent Ndikubwimana ◽  
...  

2020 ◽  
Author(s):  
James McDonagh ◽  
William Swope ◽  
Richard L. Anderson ◽  
Michael Johnston ◽  
David J. Bray

Digitization offers significant opportunities for the formulated product industry to transform the way it works and develop new methods of business. R&D is one area of operation that is challenging to take advantage of these technologies due to its high level of domain specialisation and creativity but the benefits could be significant. Recent developments of base level technologies such as artificial intelligence (AI)/machine learning (ML), robotics and high performance computing (HPC), to name a few, present disruptive and transformative technologies which could offer new insights, discovery methods and enhanced chemical control when combined in a digital ecosystem of connectivity, distributive services and decentralisation. At the fundamental level, research in these technologies has shown that new physical and chemical insights can be gained, which in turn can augment experimental R&D approaches through physics-based chemical simulation, data driven models and hybrid approaches. In all of these cases, high quality data is required to build and validate models in addition to the skills and expertise to exploit such methods. In this article we give an overview of some of the digital technology demonstrators we have developed for formulated product R&D. We discuss the challenges in building and deploying these demonstrators.<br>


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