TY - JOUR
T1 - The home-range concept
T2 - Are traditional estimators still relevant with modern telemetry technology?
AU - Kie, John G.
AU - Matthiopoulos, Jason
AU - Fieberg, John
AU - Powell, Roger A.
AU - Cagnacci, Francesca
AU - Mitchell, Michael S.
AU - Gaillard, Jean Michel
AU - Moorcroft, Paul R.
PY - 2010/7/27
Y1 - 2010/7/27
N2 - Recent advances in animal tracking and telemetry technology have allowed the collection of location data at an ever-increasing rate and accuracy, and these advances have been accompanied by the development of new methods of data analysis for portraying space use, home ranges and utilization distributions. New statistical approaches include data-intensive techniques such as kriging and nonlinear generalized regression models for habitat use. In addition, mechanistic home-range models, derived from models of animal movement behaviour, promise to offer new insights into how home ranges emerge as the result of specific patterns of movements by individuals in response to their environment. Traditional methods such as kernel density estimators are likely to remain popular because of their ease of use. Large datasets make it possible to apply these methods over relatively short periods of time such as weeks or months, and these estimates may be analysed using mixed effects models, offering another approach to studying temporal variation in space-use patterns. Although new technologies open new avenues in ecological research, our knowledge of why animals use space in the ways we observe will only advance by researchers using these new technologies and asking new and innovative questions about the empirical patterns they observe.
AB - Recent advances in animal tracking and telemetry technology have allowed the collection of location data at an ever-increasing rate and accuracy, and these advances have been accompanied by the development of new methods of data analysis for portraying space use, home ranges and utilization distributions. New statistical approaches include data-intensive techniques such as kriging and nonlinear generalized regression models for habitat use. In addition, mechanistic home-range models, derived from models of animal movement behaviour, promise to offer new insights into how home ranges emerge as the result of specific patterns of movements by individuals in response to their environment. Traditional methods such as kernel density estimators are likely to remain popular because of their ease of use. Large datasets make it possible to apply these methods over relatively short periods of time such as weeks or months, and these estimates may be analysed using mixed effects models, offering another approach to studying temporal variation in space-use patterns. Although new technologies open new avenues in ecological research, our knowledge of why animals use space in the ways we observe will only advance by researchers using these new technologies and asking new and innovative questions about the empirical patterns they observe.
KW - GPS
KW - Home ranges
KW - Mechanistic models
KW - Space use
KW - Telemetry
KW - Utilization distributions
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U2 - 10.1098/rstb.2010.0093
DO - 10.1098/rstb.2010.0093
M3 - Article
C2 - 20566499
AN - SCOPUS:77955218944
SN - 0962-8436
VL - 365
SP - 2221
EP - 2231
JO - Philosophical Transactions of the Royal Society B: Biological Sciences
JF - Philosophical Transactions of the Royal Society B: Biological Sciences
IS - 1550
ER -