TY - JOUR
T1 - Towards the comparison of home range estimators obtained from contrasting tracking regimes
T2 - the wild boar as a case study
AU - Peris, Albert
AU - Closa, Francesc
AU - Marco, Ignasi
AU - Acevedo, Pelayo
AU - Barasona, Jose A.
AU - Casas-Díaz, Encarna
N1 - Funding Information:
We would like to thank ?ngel Mi?o (Director) and the Sant Lloren? Natural Park rangers for their support. We are also indebted to Ana Villena and Sergio Peris for their critical reading of the earlier versions of the manuscript and to Rafel Bosch for the successful comments. The editor, Antonio Uzal and Robert Kenward provided relevant suggestions to improve this work.
Publisher Copyright:
© 2020, Springer-Verlag GmbH Germany, part of Springer Nature.
Copyright:
Copyright 2020 Elsevier B.V., All rights reserved.
PY - 2020/4/1
Y1 - 2020/4/1
N2 - Traditional VHF radio-tracking is gradually being replaced by GPS tracking devices in spatial ecology studies, although both technologies continue to be used. Differences between tracking regimes (time and fix frequency) may lead to home range estimates that are not directly comparable. Our primary aim was to test the reliability of comparisons in home range estimates using different estimators (minimum convex polygon [MCP], fixed kernels [KDE] and dynamic Brownian Bridge Models [dBBMM]) and tracking regimes (see above) and to provide an empirical basis for linking VHS and GPS tracking data analysis, using the wild boar (Sus scrofa) as a study model. Data were obtained from 15 GPS-collared individuals from three areas in Mediterranean Spain. Using tracking data, we simulated different tracking regimes (approaches), from three relocations per week during the daytime to one location per hour in the case of more intensive continuous monitoring. Results suggested that MCP produces the greatest differences between approaches, while 95% kernel home range (Khr95) the lowest, both in size and utilization distribution overlap. From the 50% kernel core range (Kcr50), similar estimates were also obtained for the less intensive approaches (typical of VHF tracking regimes). Using the most intensive sampling scheme, dBBMM estimates did not differ significantly from those obtained with Khr95 for all approaches. The standardization of home range estimates is very important for wildlife management and conservation. The proposed methodology allows direct comparison among studies using different approaches for estimating home ranges.
AB - Traditional VHF radio-tracking is gradually being replaced by GPS tracking devices in spatial ecology studies, although both technologies continue to be used. Differences between tracking regimes (time and fix frequency) may lead to home range estimates that are not directly comparable. Our primary aim was to test the reliability of comparisons in home range estimates using different estimators (minimum convex polygon [MCP], fixed kernels [KDE] and dynamic Brownian Bridge Models [dBBMM]) and tracking regimes (see above) and to provide an empirical basis for linking VHS and GPS tracking data analysis, using the wild boar (Sus scrofa) as a study model. Data were obtained from 15 GPS-collared individuals from three areas in Mediterranean Spain. Using tracking data, we simulated different tracking regimes (approaches), from three relocations per week during the daytime to one location per hour in the case of more intensive continuous monitoring. Results suggested that MCP produces the greatest differences between approaches, while 95% kernel home range (Khr95) the lowest, both in size and utilization distribution overlap. From the 50% kernel core range (Kcr50), similar estimates were also obtained for the less intensive approaches (typical of VHF tracking regimes). Using the most intensive sampling scheme, dBBMM estimates did not differ significantly from those obtained with Khr95 for all approaches. The standardization of home range estimates is very important for wildlife management and conservation. The proposed methodology allows direct comparison among studies using different approaches for estimating home ranges.
KW - Fixed kernel
KW - GPS collars
KW - Sampling intensity
KW - Sus scrofa
KW - Wild boar
UR - http://www.scopus.com/inward/record.url?scp=85081553654&partnerID=8YFLogxK
U2 - 10.1007/s10344-020-1370-7
DO - 10.1007/s10344-020-1370-7
M3 - Article
AN - SCOPUS:85081553654
VL - 66
JO - European Journal of Wildlife Research
JF - European Journal of Wildlife Research
SN - 1612-4642
IS - 2
M1 - 32
ER -