sdu faculty of forestry journal special edition 2009 - Orman Fakültesi
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,