| Kategorie |
Textpublikation |
| Referenztyp |
Zeitschriften |
| DOI |
10.1111/2041-210X.70082
|
Lizenz  |
|
| Titel (primär) |
Home range spillover in habitats with impassable boundaries: Causes, biases, and corrections using autocorrelated kernel density estimation |
| Autor |
Hollins, J.P.W.; Fleming, C.H.; Calabrese, J.M.; Harris, L.N.; Moore, J.-S.; Malley, B.K.; Noonan, M.J.; Fagan, W.F.; Alston, J.M.; Hussey, N.E. |
| Quelle |
Methods in Ecology and Evolution |
| Erscheinungsjahr |
2025 |
| Department |
OESA |
| Sprache |
englisch |
| Topic |
T5 Future Landscapes |
| Daten-/Softwarelinks |
https://doi.org/10.5281/zenodo.15529780
https://doi.org/10.5281/zenodo.15530076
https://doi.org/10.5281/zenodo.15530167 |
| Supplements |
Supplement 1
Supplement 2
Supplement 3
Supplement 4 |
| Keywords |
highlight; boundary; home range; spatial or time-series; spillover; statistics; telemetry |
| Abstract |
- An animal's home-range plays a fundamental role in
determining its resource use and overlap with conspecifics, competitors
and predators, and is therefore a common focus of movement ecology
studies. Autocorrelated kernel density estimation addresses many of the
shortcomings of traditional home-range estimators when animal tracking
data are autocorrelated, but other challenges in home-range estimation
remain.
- One such issue is known as ‘spillover bias’, in which
home-range estimates do not respect impassable movement boundaries
(e.g. shorelines and fences), and occurs in all forms of kernel density
estimation. While several approaches to addressing spillover bias are
used when estimating home ranges, these approaches introduce bias
throughout the remaining home-range area, depending on the amount of
spillover removed, or are otherwise inaccessible to most ecologists.
Here, we introduce local corrections to home-range kernels to mitigate
spillover bias in (autocorrelated) kernel density estimation in the
continuous time movement model (ctmm) package, and demonstrate their
performance using simulations with known home-range extents and
distributions, and a real-world case study.
- Simulation results showed that local corrections
minimized bias in bounded home-range area estimates, and resulted in
more accurate distributions when compared with commonly used post hoc corrections, particularly at small–intermediate sample sizes.
- Comparison of the impacts of local vs. post hoc corrections to bounded home-ranges estimated from lake trout (Salvelinus namaycush)
demonstrated that local corrections constrained the redistribution of
probability mass within the remaining home-range area, resulting in
proportionally smaller home-range areas compared with when post hoc
corrections are used.
|
| dauerhafte UFZ-Verlinkung |
https://www.ufz.de/index.php?en=20939&ufzPublicationIdentifier=29997 |
Hollins, J.P.W., Fleming, C.H., Calabrese, J.M., Harris, L.N., Moore, J.-S., Malley, B.K., Noonan, M.J., Fagan, W.F., Alston, J.M., Hussey, N.E. (2025):
Home range spillover in habitats with impassable boundaries: Causes, biases, and corrections using autocorrelated kernel density estimation
Methods Ecol. Evol. 10.1111/2041-210X.70082 |
