Science Facing Aliens - Invasive Alien Species in Belgium - Belgian ...
Science Facing Aliens - Invasive Alien Species in Belgium - Belgian ...
Science Facing Aliens - Invasive Alien Species in Belgium - Belgian ...
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Nuthatches defend their cavities by adjust<strong>in</strong>g the entrance size of cavities to their own size by<br />
plaster<strong>in</strong>g up the entrance with mud. However, this does not protect the nuthatches from r<strong>in</strong>gnecked<br />
parakeets, as parakeets start lay<strong>in</strong>g eggs already at the end of February (pers. obs.)<br />
while <strong>in</strong> western Europe, nuthatches start breed<strong>in</strong>g only <strong>in</strong> the second half of April<br />
(Matthysen 1998). When breed<strong>in</strong>g cavities were blocked, parakeets were forced to look for<br />
new breed<strong>in</strong>g sites and the difference <strong>in</strong> tim<strong>in</strong>g of breed<strong>in</strong>g enabled the parakeets to take the<br />
best nest<strong>in</strong>g sites first.<br />
Parakeet range expansion <strong>in</strong> <strong>Belgium</strong> and consequences for native avifauna.<br />
Although the bulk of the parakeet population still occurs <strong>in</strong> the Brussels metropolitan area,<br />
parakeets can now be found breed<strong>in</strong>g <strong>in</strong> a range of about 40 km around their release site and<br />
they are steadily <strong>in</strong>creas<strong>in</strong>g their range (Vermeersch et al. 2004, Vermeersch et al. 2006). To<br />
assess the potential distribution of parakeets <strong>in</strong> <strong>Belgium</strong>, we used a species distribution model<br />
(SDM) to identify areas suitable for parakeets. SDM use <strong>in</strong>formation on species occurrence<br />
data and environmental variables to generate statistical functions characteriz<strong>in</strong>g a species’<br />
ecological requirements, and these functions are then projected onto the geographical area of<br />
<strong>in</strong>terest to obta<strong>in</strong> the species (potential) distribution (Guisan & Zimmermann 2000). Us<strong>in</strong>g a<br />
dataset of ± 400 po<strong>in</strong>t locations of breed<strong>in</strong>g parakeets and a number of habitat variables<br />
derived from region-wide land-use and forestry maps, we modeled parakeet distribution us<strong>in</strong>g<br />
an Ecological Niche Factor Analysis (ENFA, Hirzel et al. 2002). ENFA is a presence-only<br />
method and searches for an environmental ‘envelope’ characteriz<strong>in</strong>g the areas <strong>in</strong> which the<br />
species is present. Results show that parakeet distribution is ma<strong>in</strong>ly governed by variables<br />
represent<strong>in</strong>g cavity availability (i.e. the presence of parks and old forests) and parakeets are<br />
aga<strong>in</strong> strongly associated with urban habitats (Strubbe & Matthysen 2009c). The result<strong>in</strong>g<br />
distribution map (not shown here) shows that parakeets have ample room to spread <strong>in</strong>to. Most<br />
highly suitable habitats are found along the urbanized north-south axis from Brussels to<br />
Antwerp, <strong>in</strong>dicat<strong>in</strong>g that known nuthatch strongholds such as the regions south and east of<br />
Antwerp are highly likely to be <strong>in</strong>vaded (Strubbe & Matthysen 2009c).<br />
However, as the real threat this parakeet poses depends on a comb<strong>in</strong>ation of its<br />
potential distribution and abundance and its per capita impact on native birds, we not only<br />
need an assessment of its potential geographic distribution but also an estimate of its<br />
abundance (Parker et al. 1999). In order to obta<strong>in</strong> an estimate of the parakeets' expected<br />
abundance, we took advantage of recent improvements <strong>in</strong> the SDM field, and reanalyzed our<br />
data of parakeet abundance (see above, but po<strong>in</strong>t counts now converted to breed<strong>in</strong>g densities,<br />
pairs/ha) us<strong>in</strong>g Boosted Regression Trees (Elith et al. 2008), a new technique capable of<br />
model<strong>in</strong>g abundance. BRT, coupled with the availability of exceptionally detailed geographic<br />
data layers conta<strong>in</strong><strong>in</strong>g <strong>in</strong>formation on land-use and vegetation types (the Biological Valuation<br />
Map and the Forest Reference Layer), allowed us to model parakeet abundance across the<br />
country at the level of <strong>in</strong>dividual forest patches. Region-wide predictions of nuthatch<br />
abundance are obta<strong>in</strong>ed us<strong>in</strong>g patch-level data obta<strong>in</strong>ed from a breed<strong>in</strong>g bird atlas project. In<br />
order to quantify the parakeets' impact on nuthatches, we applied a regression model on our<br />
Brussels dataset of parakeet and nuthatch abundances, and we use the correlation coefficient<br />
between parakeet and nuthatch abundance as an <strong>in</strong>dicator of competitive strength. The<br />
competition between parakeets and nuthatches was then quantified by superimpos<strong>in</strong>g their<br />
abundance maps and apply<strong>in</strong>g the competition coefficient, result<strong>in</strong>g <strong>in</strong> an estimate of the<br />
number of nuthatches that will be lost when parakeets have occupied all suitable sites.<br />
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