Revista de Biología Tropical ISSN Impreso: 0034-7744 ISSN electrónico: 2215-2075

OAI: https://www.revistas.ucr.ac.cr/index.php/rbt/oai
Does Plan B work? Home range estimations from stored on board and transmitted data sets produced by GPS-telemetry in the Colombian Amazon
PT 64-4 dic 2016
PDF
HTML

Keywords

brownian bridges
Colombian Amazon
gps telemetry
home range
kernel density estimator
minimum convex polygon
Tapirus terrestris.
Puentes brownianos
Amazonía colombiana
telemetría
gps
rango de hogar
estimador de densidad de kernel
mínimo polígono convexo
Tapirus terrestris.

How to Cite

Cabrera, J. A., Molina, E., González, T., & Armenteras, D. (2016). Does Plan B work? Home range estimations from stored on board and transmitted data sets produced by GPS-telemetry in the Colombian Amazon. Revista De Biología Tropical, 64(4), 1441–1450. https://doi.org/10.15517/rbt.v64i4.22176

Abstract

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. 

https://doi.org/10.15517/rbt.v64i4.22176
PDF
HTML

References

Blake, S., Douglas-Hamilton, I., & Karesh, W. B. (2003). GPS telemetry of forest elephants in Central Africa: results of a preliminary study. African Journal of Ecology, 39, 178-186.

Bodmer, R., Puertas, P., & Fang, T. G. (2008). Co-Managing Wildlife in the Amazon and the Salvation of the Pacaya-Samiria National Reserve in Peru. In E. Duke (Ed.), Human Dimensions of Wildlife Management. Washington DC: Island Press.

Boyle, S. A., Lourenço, W. C., da Silva, L. R., & Smith, A. T. (2009). Home Range Estimates vary with Sample Size and Methods. Folia Primatologica, 80, 33-42.

Burt, W. H. (1943). Territoriality and Home Range Concepts as Applied to Mammals. Journal of Mammalogy, 24(3), 346-352.

Cabrera, J. A. (2012). Natural licks and people: Towards an understanding of the ecological and social dimensions of licks in the Colombian Amazon. Canterbury: School of Antrhopology and Conservation, University of Kent.

Cagnacci, F., Boitani, L., Powell, R. A., & Boyce, M. S. (2010). Animal ecology meets GPS-based radiotelemetry: a perfect storm of opportunities and challenges. Philosophical Transactions of the Royal Society B-Biological Sciences, 365, 2157-2162.

Calenge, C. (2006). The package "adehabitat" for the R software: A tool for the analysis of space and habitat use by animals. Ecological Modelling, 197, 516-519.

Castellanos, A. X. (2013). Iridium/GPS telemetry to study home range and population density of mountain tapirs in the rio Papallacta watershes, Ecuador. Tapir Conservation, 22(31), 20-25.

Fieberg, J., & Kochanny, C. O. (2005). Quantifying home-range overlap: The importance of the utilization distribution. Journal of Wildife Management, 69(4), 1346-1359.

Fragoso, J. M. (2003). Long-distance seed dispersal by tapirs increases seed survival and aggregates tropical trees. Ecology, 84, 1998-2006.

Fragoso, J. M., & Huffman, J. M. (2000). Seed-dispersal and seedling recruitment patterns by the last Neotropical megafaunal element in Amazonia, the tapir. Journal of Tropical Ecology, 16, 369-385.

Frair, J. L., Fieberg, J., Hebblewhite, M., Cagnacci, F., Decesare, N., & Pedrotti, L. (2010). Resolving issues of imprecise and habitat-biased locations in ecological analyses using GPS telemetry data. Philosophical Transactions of the Royal Society B-Biological Sciences, 365, 2187-2200.

Hebblewhite, M., & Haydon, D. T. (2010). Distinguishing technology from biology: a critical review of the use of GPS telemetry data in ecology. Philosophical Transactions of the Royal Society B-Biological Sciences, 36, 2303-2312.

International Union for Conservation of Nature Red List of Threatened Species. Version 2015.2. . Downloaded on 03 July 2015.

Keuroghlian, A., & Eaton, D. P. (2009). 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. Biodiversity and Conservation, 18, 1733-1750.

Kie, J. G., Matthiopoulos, J., Fieberg, J., Powell, R. A., Cagnacci, F., Mitchell, M. S., Gaillard, J. M., & Moorcroft, P. R. (2010). The home-range concept: are traditional estimators still relevant with modern telemetry technology? Philosophical Transactions of the Royal Society B-Biological Sciences, 365, 2221-2231.

Kochanny, C. O., Delgiudice, G. D., & Fieberg, J. (2009). Comparing Global Positioning System and very high frequency telemetry home ranges of white-tailed deer. Journal of Wildlife Management, 73(5), 779-787.

Lewis, J. S., Rachlow, J. L., Garton, E. O., & Vierling, L. A. (2007). Effects of habitat on GPS collar performance: using data screening to reduce location error. Journal of Applied Ecology, 44, 663-671.

Mattisson, J., Andrén, H., Persson, J., & Segerström, P. (2010). Effects of Species Behavior on Global Positioning System Collar Fix Rates. Journal of Wildlife Management, 743, 557-563.

Molina, E., León T. E., & Armenteras-Pascual, D. (2014). Characteristics of natural salt licks located in the Colombian Amazon foothills. Environmental Geochemistry Health, 36(1), 117-129.

Murcia, U. G., Huertas, C. M., Rodríguez, J. M., & Castellanos, H. O. A. (2010). Monitoreo de los bosques y otras coberturas de la Amazonia colombiana, datos del año 2007. Bogotá, D. C.: Instituto Amazónico de Investigaciones Científicas Sinchi.

Seaman, E. D., Millspaugh, J. J., Kernohan, B. J., Brundige, G. C., Raedeke, K. J., & Gitzen, R. A. (1999). Effects of sample size on kernel home range estimates. Journal of Wildlife Management, 63(2), 739-747.

Schuttler, S. G., Blake, S., & Eggert, L. S. (2012). Movement patters and spatial relationships among African forest elephants. Biotropica, 44(4), 445-448.

Telonics. (2013). GEN4 GPS Systems manual.

Tobler, M. W. (2009). New GPS technology improves fix success for large mammal collars in dense tropical forest. Journal of Tropical Ecology, 25, 217-221.

Tobler, M. W., Carrillo-Percastegui, S. E., & Powell, G. (2009). Habitat use, activity patterns and use of mineral licks by five species of ungulate in south-eastern Peru. Journal of Tropical Ecology, 25, 261-270.

Jung, T. S., & Kuba, K. (2015). Performance of GPS collars on free-ranging bison (Bison bison) in north-western Canada. Wildlife Research, 42, 315.

Tomkiewicz, S. M., Fuller, M. R., Kie, J. G., & Bates, K. K. (2010). Global positioning system and associated technologies in animal behaviour and ecological research. Philosophical Transactions of the Royal Society B-Biological Sciences, 365, 2163-2176.

UNEP‐WCMC. (2012). CITES Trade: recent trends in international trade in Appendix II‐listed species (1996‐2010). Cambridge: UNEP‐WCMC.

Walter, W. D., Fischer, J. W., Baruch-Mordo, S., & Vercauteren, K. C. (2011). What Is the Proper Method to Delineate Home Range of an Animal Using Today’s Advanced GPS Telemetry Systems: The Initial Step (Paper 1375). USDA National Wildlife Research Center - Staff Publications.

Comments

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

Copyright (c) 2016 Revista de Biología Tropical

Downloads

Download data is not yet available.