Systematic error is of minor importance to feedback structure estimates derived from time series of nonlinear population indices

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989592%3A15310%2F11%3A33117748" target="_blank" >RIV/61989592:15310/11:33117748 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/68081766:_____/11:00360716

Výsledek na webu

<a href="http://dx.doi.org/10.1007/s10144-010-0246-1" target="_blank" >http://dx.doi.org/10.1007/s10144-010-0246-1</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/s10144-010-0246-1" target="_blank" >10.1007/s10144-010-0246-1</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Systematic error is of minor importance to feedback structure estimates derived from time series of nonlinear population indices

Popis výsledku v původním jazyce

Most modern population dynamics analyses of time series use simple population indices for ecological inference. These indices, collected for many years for various agricultural pests or game animals, 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 the issue of linearity is of less importance to ecological inference because the feedback estimates are routinely obtained on a logarithmic scale. Transforming data to logs has a strong linearization effect, removing mostof 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 a

Název v anglickém jazyce

Systematic error is of minor importance to feedback structure estimates derived from time series of nonlinear population indices

Popis výsledku anglicky

Most modern population dynamics analyses of time series use simple population indices for ecological inference. These indices, collected for many years for various agricultural pests or game animals, 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 the issue of linearity is of less importance to ecological inference because the feedback estimates are routinely obtained on a logarithmic scale. Transforming data to logs has a strong linearization effect, removing mostof 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 a

Druh

J_x - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)

CEP obor

EH - Ekologie – společenstva

OECD FORD obor

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Projekt

Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.

Návaznosti

Z - Vyzkumny zamer (s odkazem do CEZ)

Rok uplatnění

2011

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Population Ecology

ISSN

1438-3896

e-ISSN

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Svazek periodika

53

Číslo periodika v rámci svazku

4

Stát vydavatele periodika

JP - Japonsko

Počet stran výsledku

6

Strana od-do

495-500

Kód UT WoS článku

000291393200008

EID výsledku v databázi Scopus

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