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Research article - Peer-reviewed, 2014

Evaluating range-expansion models for calculating nonnative species' expansion rate

Preuss, Sonja; Low, Matthew; Cassel-Lundhagen, Anna; Berggren, Åsa

Abstract

Species range shifts associated with environmental change or biological invasions are increasingly important study areas. However, quantifying range expansion rates may be heavily influenced by methodology and/or sampling bias. We compared expansion rate estimates of Roesel's bush-cricket (Metrioptera roeselii, Hagenbach 1822), a nonnative species currently expanding its range in south-central Sweden, from range statistic models based on distance measures (mean, median, 95th gamma quantile, marginal mean, maximum, and conditional maximum) and an area-based method (grid occupancy). We used sampling simulations to determine the sensitivity of the different methods to incomplete sampling across the species' range. For periods when we had comprehensive survey data, range expansion estimates clustered into two groups: (1) those calculated from range margin statistics (gamma, marginal mean, maximum, and conditional maximum: similar to 3 km/year), and (2) those calculated from the central tendency (mean and median) and the area-based method of grid occupancy (similar to 1.5 km/year). Range statistic measures differed greatly in their sensitivity to sampling effort; the proportion of sampling required to achieve an estimate within 10% of the true value ranged from 0.17 to 0.9. Grid occupancy and median were most sensitive to sampling effort, and the maximum and gamma quantile the least. If periods with incomplete sampling were included in the range expansion calculations, this generally lowered the estimates (range 16-72%), with exception of the gamma quantile that was slightly higher (6%). Care should be taken when interpreting rate expansion estimates from data sampled from only a fraction of the full distribution. Methods based on the central tendency will give rates approximately half that of methods based on the range margin. The gamma quantile method appears to be the most robust to incomplete sampling bias and should be considered as the method of choice when sampling the entire distribution is not possible.

Keywords

Biological invasion; citizen science; citizen-reported data; dispersal; distribution; insects; invasive species; Metrioptera roeseli; orthoptera; range shift

Published in

Ecology and Evolution
2014, volume: 4, number: 14, pages: 2812-2822
Publisher: WILEY-BLACKWELL

Authors' information

Preuss, Sonja
Swedish University of Agricultural Sciences, Department of Ecology
Swedish University of Agricultural Sciences, Department of Ecology
Cassel-Lundhagen, Anna (Lundhagen, Anna)
Swedish University of Agricultural Sciences, Department of Ecology
Swedish University of Agricultural Sciences, Department of Ecology

UKÄ Subject classification

Ecology

Publication Identifiers

DOI: https://doi.org/10.1002/ece3.1106

URI (permanent link to this page)

https://res.slu.se/id/publ/61108