Does Plan B work? Home range estimations from stored on board and transmitted data sets produced by GPS-telemetry in the Colombian Amazon.

Telemetry based on Global Positioning Systems (GPS) makes possible to gather large quantities of information in a very fine scale and work with species that were impossible to study in the past. When working with GPS telemetry, the option of storing data on board could be more desirable than the sole satellite transmitted data, due to the increase in the amount of locations available for analysis. Nonetheless, the uncertainty in the retrieving of the collar unit makes satellite-transmitted technologies something to take into account. Therefore, differences between store-on-board (SoB) and satellite-transmitted (IT) data sets need to be considered. Differences between SoB and IT data collected from two lowland tapirs (Tapirus terrestris), were explored by means of the calculation of home range areas by three different methods: the Minimum Convex Polygon (MCP), the Fixed Kernel Density Estimator (KDE) and the Brownian Bridges (BB). Results showed that SoB and IT data sets for the same individual were similar, with fix ranging from 63 % to 85 % respectively, and 16 m to 17 m horizontal errors. Depending on the total number of locations available for each individual, the home ranges estimated showed differences between 2.7 % and 79.3 %, for the 50 % probability contour and between 9.9 % and 61.8 % for the 95 % probability contour. These differences imply variations in the spatial coincidence of the estimated home ranges. We concluded that the use of IT data is not a good option for the estimation of home range areas if the collar settings have not been designed specifically for this use. Nonetheless, geographical representations of the IT based estimators could be of great help to identify areas of use, besides its assistance to locate the collar for its retrieval at the end of the field season and as a proximate backup when collars disappear.

[1]  Thomas S. Jung,et al.  Performance of GPS collars on free-ranging bison (Bison bison) in north-western Canada , 2015, Wildlife Research.

[2]  Mathias W. Tobler,et al.  Habitat use, activity patterns and use of mineral licks by five species of ungulate in south-eastern Peru , 2009, Journal of Tropical Ecology.

[3]  M. Tobler New GPS technology improves fix success for large mammal collars in dense tropical forests , 2009, Journal of Tropical Ecology.

[4]  Alexine Keuroghlian,et al.  Removal of palm fruits and ecosystem engineering in palm stands by white-lipped peccaries (Tayassu pecari) and other frugivores in an isolated Atlantic Forest fragment , 2009, Biodiversity and Conservation.

[5]  Joshua J. Millspaugh,et al.  Effects of sample size on kernel home range estimates , 1999 .

[6]  J. Fragoso,et al.  Seed-dispersal and seedling recruitment patterns by the last Neotropical megafaunal element in Amazonia, the tapir , 2000, Journal of Tropical Ecology.

[7]  J. Fragoso,et al.  LONG‐DISTANCE SEED DISPERSAL BY TAPIRS INCREASES SEED SURVIVAL AND AGGREGATES TROPICAL TREES , 2003 .

[8]  W. D. Walter,et al.  What Is the Proper Methodto Delineate Home Range of anAnimal Using Today’s AdvancedGPS Telemetry Systems: The Initial Step , 2011 .

[9]  Clément Calenge,et al.  The package “adehabitat” for the R software: A tool for the analysis of space and habitat use by animals , 2006 .

[10]  William B. Karesh,et al.  GPS telemetry of forest elephants in Central Africa : results of a preliminary study , 2001 .

[11]  Francesca Cagnacci,et al.  The home-range concept: are traditional estimators still relevant with modern telemetry technology? , 2010, Philosophical Transactions of the Royal Society B: Biological Sciences.

[12]  F. Cagnacci,et al.  Animal ecology meets GPS-based radiotelemetry: a perfect storm of opportunities and challenges , 2010, Philosophical Transactions of the Royal Society B: Biological Sciences.

[13]  D. Armenteras,et al.  Characteristics of natural salt licks located in the Colombian Amazon foothills , 2014, Environmental Geochemistry and Health.

[14]  W. H. Burt Territoriality and Home Range Concepts as Applied to Mammals , 1943 .

[15]  Stanley M Tomkiewicz,et al.  Global positioning system and associated technologies in animal behaviour and ecological research , 2010, Philosophical Transactions of the Royal Society B: Biological Sciences.

[16]  JOHN FIEBERG,et al.  QUANTIFYING HOME-RANGE OVERLAP: THE IMPORTANCE OF THE UTILIZATION DISTRIBUTION , 2005 .

[17]  Stephanie G Schuttler,et al.  Movement Patterns and Spatial Relationships Among African Forest Elephants , 2012 .

[18]  Lee A. Vierling,et al.  Effects of habitat on GPS collar performance: using data screening to reduce location error , 2007 .

[19]  Andrew T. Smith,et al.  Home Range Estimates Vary with Sample Size and Methods , 2009, Folia Primatologica.

[20]  M. Hebblewhite,et al.  Distinguishing technology from biology: a critical review of the use of GPS telemetry data in ecology , 2010, Philosophical Transactions of the Royal Society B: Biological Sciences.

[21]  Henrik Andrén,et al.  Effects of Species Behavior on Global Positioning System Collar Fix Rates , 2010 .

[22]  Christopher O. Kochanny,et al.  Comparing Global Positioning System and Very High Frequency Telemetry Home Ranges of White-Tailed Deer , 2009 .

[23]  Francesca Cagnacci,et al.  Resolving issues of imprecise and habitat-biased locations in ecological analyses using GPS telemetry data , 2010, Philosophical Transactions of the Royal Society B: Biological Sciences.