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sdu faculty of forestry journal special edition 2009 - Orman Fakültesi

sdu faculty of forestry journal special edition 2009 - Orman Fakültesi

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SDÜ ORMAN FAKÜLTESİ DERGİSİ<br />

although these proportions were significantly different for a hypothesis test at 95%<br />

level, with a greater level, they were not different. Thus, the risk <strong>of</strong> being damaged<br />

is only slightly higher for exotic SYGs than for native SYGs.<br />

Table 8. 2x2 contingency table <strong>of</strong> tree SYGs.<br />

SYGs<br />

Naturalness<br />

229<br />

Health status<br />

Undamaged Damaged<br />

Native 92 134<br />

Exotic 266 567<br />

This seems to be a coherent result since native species are expected to be better<br />

adapted, although there are authors who maintain that exotic species do better than<br />

native ones because their pests and diseases have not yet arrived from their home<br />

country (Schimdt and Kerenyine-Nemstothy, 1999). Similarly, Harris explains that<br />

native species sometimes do not perform as well as exotic ones (Harris et al.,<br />

2004). Therefore, as it remains unclear what kind <strong>of</strong> species should be planted<br />

more frequently, it should be consider that exotic flora affects native and overall<br />

species richness throughout the globe (Alvey, 2006) while native species improve<br />

the sustainability <strong>of</strong> urban forests (Clark et al., 1997). In any case, the<br />

recommendation <strong>of</strong> not planting invasive exotic species should be followed (Alvey,<br />

2006).<br />

4.11 Ranking <strong>of</strong> less suitable species to be grown in Madrid.<br />

An algorithm to establish which tree and shrub species are less adapted to the<br />

urban environment <strong>of</strong> Madrid is created. On one hand, a quantitative scale is<br />

established to asses the severity <strong>of</strong> the observed disturbances, assigning greater<br />

coefficients to the most serious disturbances (Table 9). On the other, a qualitative<br />

scale takes into consideration: a) the number <strong>of</strong> disturbances which appeared<br />

within each species, and b) the proportion <strong>of</strong> damaged SYGs. The result <strong>of</strong><br />

multiplying each severity coefficient by the number <strong>of</strong> disturbances (a) is weighted<br />

with the proportion <strong>of</strong> damaged SYGs (b) within each species. The outcome is a<br />

ranking with the least suitable species, where the species with the highest grade<br />

appear on top (Table 10 and Table 11).<br />

Table 9. Severity classes <strong>of</strong> disturbances with coefficients.<br />

Severity classes <strong>of</strong> disturbances Coefficients<br />

Hazardous 0.5<br />

Pretty serious 0.3<br />

Less serious 0.2<br />

Acceptable 0.1<br />

This kind <strong>of</strong> species suitability ranking has been observed in other surveys<br />

(Impens and Delcarte, 1979; Raupp and Noland, 1984; Nielsen et al., 1985; Ball,

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