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Williams-Climate-change-refugia-for-terrestrial-biodiversity_0

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4.5 Discussion<br />

Although computational challenges eventually constrained the number of biological<br />

groups that could be fully analysed at continental scale <strong>for</strong> this report, this case study<br />

has clearly demonstrated the important contribution that compositional-turnover<br />

modelling can make to assessing <strong>refugia</strong>l potential across a wide range of biological<br />

taxa and spatial resolutions. The analysis here also demonstrates the importance of<br />

considering finer-scaled effects of topography on local climate when identifying and<br />

mapping potential <strong>refugia</strong>. Failure to consider such effects risks underestimating the<br />

potential <strong>for</strong> <strong>biodiversity</strong> to persist in topographically heterogeneous landscapes and, in<br />

turn, the relative importance of these areas <strong>for</strong> conservation attention. Such effects are<br />

likely to be particularly relevant <strong>for</strong> biological groups with limited dispersal capacity, and<br />

the results of this study there<strong>for</strong>e complement those of the species modelling work<br />

presented elsewhere in this report (which focussed on vertebrate groups with relatively<br />

good dispersal capacity, particularly in the case of birds and mammals).<br />

A few trends emerging from the continental analyses of <strong>refugia</strong>l potential are worth<br />

noting:<br />

Locations of potential <strong>refugia</strong> appear to be quite sensitive to the choice of climate<br />

scenario (Figure 37), which points to the importance of considering multiple scenarios<br />

in developing robust ‘no-regrets’ mapping of <strong>refugia</strong> <strong>for</strong> conservation planning.<br />

Locations of potential <strong>refugia</strong> also appear to exhibit some marked differences between<br />

biological groups (Figure 38), pointing to the desirability of extending the <strong>refugia</strong>l<br />

analyses completed here to encompass the remaining 11 groups <strong>for</strong> which GDM<br />

models have been fitted in the current study.<br />

Potential <strong>refugia</strong> can occur in a wide variety of situations (Figure 39 to Figure 44)<br />

including <strong>for</strong> example: areas of higher elevation relative to the surrounding landscape<br />

(e.g. mountain tops); topographically sheltered locations; areas close to the ocean; and<br />

areas likely to remain moister than surrounding landscapes due to hydrological factors<br />

(e.g. in the Channel Country).<br />

Many areas of high <strong>refugia</strong>l potential are already included within reserves, but many<br />

others are not (Figure 45 and Figure 46), and these exclusions there<strong>for</strong>e deserve<br />

closer attention in future conservation prioritisation ef<strong>for</strong>ts.<br />

The two finer-scaled analyses — NSW at 100 m grid resolution, and the Tingle Mosaic<br />

at 30 m resolution — have served the intended purpose of demonstrating potential<br />

applicability of the analytical approach to higher quality biological and environmental<br />

datasets. However, the results of these analyses (Figure 47 and Figure 48) should be<br />

regarded as indicative only. Further work will be required be<strong>for</strong>e outputs such as these<br />

can be regarded as having a sufficient level of rigour to in<strong>for</strong>m planning and decisionmaking<br />

at these scales.<br />

<strong>Climate</strong> <strong>change</strong> <strong>refugia</strong> <strong>for</strong> <strong>terrestrial</strong> <strong>biodiversity</strong> 75

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