Počet záznamů: 1
Systematic error is of minor importance to feedback structure estimates derived from time series of nonlinear population indices
0360716 - UBO-W 2012 RIV JP eng J - Článek v odborném periodiku
Tkadlec, Emil - Lisická-Lachnitová, L. - Losík, J. - Heroldová, Marta
Systematic error is of minor importance to feedback structure estimates derived from time series of nonlinear population indices.
Population Ecology. Roč. 53, č. 3 (2011), s. 495-500 ISSN 1438-3896
Grant CEP: GA ČR GA206/04/2003; GA MZe QH72075
Výzkumný záměr: CEZ:AV0Z60930519
Klíčová slova: Autoregressive log-linear modeling * Burrow index * Log-transformation * Microtus * Population dynamics * Power function
Kód oboru RIV: EH - Ekologie - společenstva
Impakt faktor: 2.287, rok: 2011
Most modern population dynamics analyses of time series use simple population indices for ecological inference. These are generally believed not to distort systematically feedback estimates because the assumption of linearity to population size roughly holds. To assess the relative importance of this assumption, we examined the effect of nonlinearity in a burrow index for voles on feedback estimates obtained through autoregressive modeling. We show that transforming data to logs has a strong linearization effect, removing most of the nonlinearity observed on the original scale. We conclude that the statistical tools for ecological inference, such as autoregressive log-linear models, are sufficiently robust to the systematic error imposed by index nonlinearity and that indices are valuable sources of ecological information even in situations when the assumed linear functional forms to population size were not exactly validated.
Trvalý link: http://hdl.handle.net/11104/0198202