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The use of habitat models in conservation of rare and endangered ...

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256<br />

Figure 8. Habitat suitability map for Neophilaenus m<strong>in</strong>or. Non-brownfield sites (sealed areas: e.g. roads, build<strong>in</strong>gs, conta<strong>in</strong>er parks;<br />

farml<strong>and</strong>: mostly wet grassl<strong>and</strong>) are considered per se as unsuitable <strong>habitat</strong>s (matrix) <strong>and</strong> dotted on the map.<br />

succession. This quantitative <strong>in</strong>formation may be<br />

essential for the <strong>conservation</strong> <strong>of</strong> species <strong>in</strong><br />

brownfields. It was shown that the species under<br />

study are restricted to the early or <strong>in</strong>termediate<br />

stages <strong>of</strong> brownfield succession. Once sites become<br />

too old, these species are likely to disappear. Small<br />

et al. (2003) found for carabid beetles that the<br />

most species rich assemblages are found on early<br />

successional sites that can be between 6 <strong>and</strong><br />

20 years old. For <strong>conservation</strong>, this implies that<br />

protection <strong>of</strong> exist<strong>in</strong>g brownfield-sites without<br />

management will ca<strong>use</strong> many species to disappear<br />

over time. In order to preserve high biodiversity,<br />

one should focus on the duration <strong>of</strong> the brownfield<br />

stage with<strong>in</strong> the cycle <strong>of</strong> emergence, succession <strong>and</strong><br />

demolition <strong>of</strong> brownfields sites. A constant stock<br />

<strong>of</strong> brownfields <strong>of</strong> young <strong>and</strong> <strong>in</strong>termediate age<br />

with<strong>in</strong> an <strong>in</strong>dustrial area preserves the typical<br />

species assemblage.<br />

<strong>The</strong> case studies also showed that <strong>in</strong> some<br />

species it is possible to build <strong>habitat</strong> <strong>models</strong> with<br />

good performance us<strong>in</strong>g only a few <strong>habitat</strong><br />

parameters. For <strong>in</strong>stance, <strong>in</strong> Verdanus bensoni<br />

two parameters were sufficient to reach a high<br />

correct classification rate. For <strong>conservation</strong> purpose,<br />

those <strong>habitat</strong> <strong>models</strong> may be a tool to<br />

identify potential <strong>habitat</strong> rely<strong>in</strong>g on only a small<br />

number <strong>of</strong> environmental parameters. Even<br />

though a large number <strong>of</strong> parameters might be<br />

necessary to detect the driv<strong>in</strong>g forces <strong>and</strong> build<br />

well perform<strong>in</strong>g <strong>models</strong>, once these parameters<br />

are known, <strong>models</strong> can easily be applied to other<br />

regions, assum<strong>in</strong>g the availability <strong>of</strong> data for the<br />

parameters. In the light <strong>of</strong> <strong>in</strong>creas<strong>in</strong>g availability<br />

<strong>of</strong> area-wide environmental data (e.g. from satellite<br />

imagery or public GIS databases) this<br />

prerequisite will be easier to meet <strong>in</strong> future.<br />

However, some variables, like the ones describ<strong>in</strong>g<br />

aspects <strong>of</strong> vegetation structure <strong>in</strong> a detailed<br />

way, can not be obta<strong>in</strong>ed area-wide by these<br />

methods. Still, these variables are <strong>of</strong> great<br />

importance when study<strong>in</strong>g a species’ ecological<br />

needs. Hence, for <strong>habitat</strong> suitability maps, these<br />

variables have to be substituted by ones that are<br />

available area-wide. <strong>The</strong> application <strong>of</strong> <strong>habitat</strong><br />

suitability maps <strong>in</strong> <strong>conservation</strong> may easily<br />

identify <strong>and</strong> map areas for protection (e.g.<br />

Cabeza et al. 2004). However, there are some issues<br />

to consider when apply<strong>in</strong>g <strong>habitat</strong> <strong>models</strong> <strong>and</strong><br />

<strong>habitat</strong> suitability maps. First, species’ absences<br />

can never be recorded with the same certa<strong>in</strong>ty as<br />

species’ presences. Kleyer et al. (1999/2000) suggest<br />

regard<strong>in</strong>g presence <strong>and</strong> absence as a species-specific<br />

characteristic. Second, false-positive predictions do<br />

not necessarily <strong>in</strong>dicate a poor model fit, s<strong>in</strong>ce plots<br />

recorded as non-<strong>use</strong> are not always unsuitable<br />

<strong>habitat</strong> (Capen et al. 1986). This is particularly<br />

true <strong>in</strong> decl<strong>in</strong><strong>in</strong>g populations, where many falsepositive<br />

predictions might result (Wilson et al.<br />

2005): due to an <strong>in</strong>creased ext<strong>in</strong>ction rate, suitable<br />

<strong>habitat</strong> might not be <strong>in</strong>habited. Thus, <strong>habitat</strong><br />

suitability maps may help to identify areas for the

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