Publication Details

Category Text Publication
Reference Category Journals
DOI 10.1111/2041-210X.13786
Licence creative commons licence
Title (Primary) Autocorrelation-informed home range estimation: a review and practical guide
Author Silva, I.; Fleming, C.H.; Noonan, M.J.; Alston, J.; Folta, C.; Fagan, W.F.; Calabrese, J.M.
Source Titel Methods in Ecology and Evolution
Year 2022
Department OESA
Volume 13
Issue 3
Page From 534
Page To 544
Language englisch
Topic T5 Future Landscapes
Keywords highlight; home range; kernel density estimation; movement process; telemetry; tracking data

Modern tracking devices allow for the collection of high-volume animal tracking data at improved sampling rates over VHF radiotelemetry. Home range estimation is a key output from these tracking datasets, but the inherent properties of animal movement can lead traditional statistical methods to under- or overestimate home range areas.

The Autocorrelated Kernel Density Estimation (AKDE) family of estimators were designed to be statistically efficient while explicitly dealing with the complexities of modern movement data: autocorrelation, small sample sizes, and missing or irregularly sampled data. Although each of these estimators has been described in separate technical papers, here we review how these estimators work and provide a user-friendly guide on how they may be combined to reduce multiple biases simultaneously.

We describe the magnitude of the improvements offered by these estimators and their impact on home range area estimates, using both empirical case studies and simulations, contrasting their computational costs.

Finally, we provide guidelines for researchers to choose among alternative estimators and an R script to facilitate the application and interpretation of AKDE home range estimates.

Persistent UFZ Identifier
Silva, I., Fleming, C.H., Noonan, M.J., Alston, J., Folta, C., Fagan, W.F., Calabrese, J.M. (2022):
Autocorrelation-informed home range estimation: a review and practical guide
Methods Ecol. Evol. 13 (3), 534 - 544 10.1111/2041-210X.13786