Skip to main content

Table 1 Predictors used in model calibration by predictor class, their description and ecological rationale for the selection

From: A multi-scale modelling framework to guide management of plant invasions in a transboundary context

Class

Predictor

Description

Ecological rationale

Climate

MinTemp

Minimum temperature of the coldest month

Climate is expected to be the main factor in shaping species’ distribution at large scales (Pearson et al. 2002), and previous studies have indicated climate predictors as the most important drivers of invasive species richness in the local-scale study area (Vicente et al. 2010).

TempRan

Temperature annual range

AnnPrec

Annual precipitation

PrecSea

Precipitation seasonality (Coefficient of variation)

Landscape composition

pUrbanA

Urban areas cover (%)

Land cover/use determine suitable habitat availability, thereby controlling alien invasion, and more invasive species find suitable conditions in man-made habitat (Song et al. 2005). Also, the greater the compositional diversity of a landscape, the more alien invasive species can find suitable conditions there (Pino et al. 2005).

pAgrico

Agriculture cover (%)

pArtFor

Artificial forests cover (%)

pShrubs

Shrubland cover (%)

Landscape structure

NumPatc

Number of patches

Spatial configuration and variability of the landscape affect species richness (Dufour et al. 2006), with landscape fragmentation increasing vulnerability to invasion (Le Maitre et al. 2004).

mShaInd

Mean Shape Index

mPerAreR

Mean Perimeter-to-Area Ratio

shDiInd

Shannon Diversity Index of Land Cover classes

Lithology

IgnRock

Felsic and intermediate Igneous Rocks (%)

The test species has adaptations related to nutrient absorption (Sousa et al. 2007). We expect that this might be reflected in differential suitability and invasive potential among different bedrocks, an expectation supported by empirical observations in some locations within our study area.

MetRock

Foliated metamorphic rocks (%)

DetSedD

Detritic sedimentary rocks and superficial sedimentary deposits (%)

lithSDI

Shannon Diversity Index of lithological categories

Fire

pMaxBurn

Maximum burnt area per cell (%)

Hakea sericea possesses fire adaptations (Groom and Lamont 1997; Brown and Whelan 1999), and invasion by this species potentially causes impacts on fire regimes (van Wilgen and Richardson 1985).

  1. All predictors were used for the regional scale analysis, predictors in bold were selected for the local scale analysis (for more information see Appendix I)