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Vale et al. 3<br />

Figure 1. Patterns <str<strong>on</strong>g>of</str<strong>on</strong>g> bird richness <strong>and</strong> deforestati<strong>on</strong> in Amaz<strong>on</strong>ia: (a) all species occurring in Amaz<strong>on</strong>ia (pixel<br />

size = 25 km 2 , maximum species/pixel = 588), (b) species with ranges <str<strong>on</strong>g>of</str<strong>on</strong>g> ≤500,000 km 2 occurring in Amaz<strong>on</strong>ia<br />

(pixel size = 25 km 2 , maximum species/pixel = 157), (c) areas predicted to be highly affected by 2020 in the<br />

Brazilian Amaz<strong>on</strong> according to Laurance et al. (2001). Maps in (a) <strong>and</strong> (b) modified from Pimm <strong>and</strong> Jenkins<br />

(2005) <strong>and</strong> in (c) from Laurance et al. (2001). Thin outline defines country limits <strong>and</strong> thick outline the Brazilian<br />

(Legal) Amaz<strong>on</strong>. (The Legal Amaz<strong>on</strong> is not completely c<strong>on</strong>tained within Amaz<strong>on</strong>ia because it is a geopolitical<br />

definiti<strong>on</strong> <str<strong>on</strong>g>of</str<strong>on</strong>g> the Brazilian Amaz<strong>on</strong> that includes unforest areas.)<br />

et al. 2001; INPE 2002, respectively). The projecti<strong>on</strong>s<br />

<str<strong>on</strong>g>of</str<strong>on</strong>g> Laurance et al. (2001) are derived from deforestati<strong>on</strong><br />

rates associated with road building throughout the entire<br />

Brazilian Amaz<strong>on</strong>.<br />

Methods<br />

Deforestati<strong>on</strong> Model<br />

We used the deforestati<strong>on</strong> model <str<strong>on</strong>g>of</str<strong>on</strong>g> Laurance et al. (2001)<br />

to determine how much forest would be lost within the<br />

range <str<strong>on</strong>g>of</str<strong>on</strong>g> Amaz<strong>on</strong>ian birds. It is a spatially explicit model<br />

that estimates additi<strong>on</strong>al deforestati<strong>on</strong> in the Brazilian<br />

Amaz<strong>on</strong> by 2020 if infrastructure projects associated with<br />

Avança Brasil are implemented fully. On the basis <str<strong>on</strong>g>of</str<strong>on</strong>g> deforestati<strong>on</strong><br />

patterns <str<strong>on</strong>g>of</str<strong>on</strong>g> previous projects, the model predicts<br />

the spatial distributi<strong>on</strong> <str<strong>on</strong>g>of</str<strong>on</strong>g> 4 classes <str<strong>on</strong>g>of</str<strong>on</strong>g> disturbance:<br />

(1) heavy-impact areas, primary-forest cover absent or<br />

heavily reduced <strong>and</strong> fragmented, (2) moderate-impact areas,<br />

mostly intact primary-forest cover (>85%) with some<br />

unpaved roads <strong>and</strong> localized forest clearings, (3) lightimpact<br />

areas, nearly intact primary forest (>95%) with<br />

some localized forest clearings, <strong>and</strong> (4) pristine areas,<br />

fully intact primary-forest cover (i.e., forest is free from<br />

the effects <str<strong>on</strong>g>of</str<strong>on</strong>g> n<strong>on</strong>indigenous people).<br />

The model has 2 distinct sets <str<strong>on</strong>g>of</str<strong>on</strong>g> assumpti<strong>on</strong>s that create<br />

optimistic <strong>and</strong> n<strong>on</strong>optimistic scenarios. These scenarios<br />

predict an additi<strong>on</strong>al deforestati<strong>on</strong> rate <str<strong>on</strong>g>of</str<strong>on</strong>g> 2690<br />

<strong>and</strong> 5060 km 2 /year, respectively. In our analysis we used<br />

<strong>on</strong>ly the optimistic scenario. This scenario has c<strong>on</strong>servative<br />

assumpti<strong>on</strong>s <strong>and</strong> is based <strong>on</strong> documented deforestati<strong>on</strong><br />

rates associated with reviews <str<strong>on</strong>g>of</str<strong>on</strong>g> infrastructure<br />

development within the Brazilian Amaz<strong>on</strong>. Under the optimistic<br />

scenario, degraded z<strong>on</strong>es near roads <strong>and</strong> infrastructure<br />

projects are more localized <strong>and</strong> protected areas<br />

are less likely to be degraded (for details, see Laurance<br />

et al. 2001).<br />

C<strong>on</strong>servati<strong>on</strong> Biology<br />

Volume **, No. *, 2008

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