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The Future of the Brazilian Amazon
William F. Laurance, Mark A. Cochrane, Scott Bergen, Philip M. Fearnside, Patricia Delamônica, Christopher Barber, Sammya D'Angelo, and Tito Fernandes

Supplementary Material

The Future of the Brazilian Amazon

Major Development Trends

There are at least four key proximate and ultimate drivers of deforestation in the Brazilian Amazon, as follows:

Rapid population growth. Poor economic conditions and droughts in northeastern Brazil, limited opportunities in large cities, the displacement of agricultural workers by mechanized farming, and government colonization programs designed to reduce urban overcrowding and help secure the Amazonian frontier have all contributed to a major influx of immigrants into the Amazon (1). In addition, Amazonian populations have high intrinsic growth rates. Although the traditionally high fertility rates of Amazonian women have declined somewhat in recent decades, the momentum of population growth will continue for some time because a large proportion of the population is young or still in their child-bearing years. Moreover, Amazonian residents typically begin bearing children early (in their mid-late teens or early twenties), which also contributes substantially to rapid population growth.

Industrial logging and mining. In addition to damaging forests and aquatic ecosystems directly, logging and mining activities create road networks that greatly increase access to forests for slash-and-burn farmers, ranchers, and hunters. The Amazon is becoming an increasingly important source of tropical timber. Brazil has nearly 400 domestic Amazonian timber companies, and there has been an influx of multinational timber corporations from Asia. Asian corporations invested over $500 million in the Brazilian timber industry in 1996 alone, and currently control at least 13 million ha of Amazonian forest (2). Petroleum, natural gas, and mineral resources (iron ore, bauxite, gold, copper) are providing a rapidly growing economic impetus for road building in the Amazon (3).

Changing spatial patterns of deforestation. Since the 1960s, large-scale deforestation has been concentrated in the eastern and southern portions of the Brazilian Amazon-along the "arc of deforestation," which encompasses parts of Pará, Rondônia, Acre, and Mato Grosso. There has also been forest clearing along rivers (especially white-water rivers such as the Solimões and Amazon that contain relatively fertile sediments) and in Roraima in northern Amazonia. But this picture is rapidly changing. Major new highways, power lines, and transportation projects are now dissecting the heart of the basin, providing access to areas once considered too remote for development (2).

Wildfires. Tens of thousands of fires are lit each year by Amazonian ranchers and slash-and-burn farmers, leading to many serious wildfires, especially during periodic El Niño droughts (4-5). Logging and habitat fragmentation greatly increase the vulnerability of Amazonian forests to fires (6-8). Explanation of the Models

Our geographic information system (GIS) models are designed to predict, at a relatively coarse spatial scale, the condition of Amazonian forests in the year 2020.

Data sources. To develop our models we used the most recent information available (Table 1). Data sources for forest cover, current roads and highways (Fig. 1), rivers, and conservation units were detailed maps produced by Brazilian agencies and conservation organizations, augmented with recent remote-sensing images and personal knowledge. Data on new highways, road upgrades, and planned infrastructure projects (Fig. 1) were gleaned from reports and internet data prepared by Avança Brasil (9), Brasil em Ação (10), and the 1998-2007 development plan for Eletrobrás (11), Brazil's federal electricity utility. Zones of high, medium, and low forest-fire vulnerability were derived from a study that integrates extensive data on forest cover, seasonal soil-water availability, recent fires, and logging activity (12). Maps of the estimated extent of legal and illegal logging, industrial mining, and illegal gold mining were produced by IBAMA, Brazil's national environmental agency (Table 1).

Protected areas. The Brazilian Amazon has 13 major types of federal and state conservation units that vary in their degree of environmental protection, which we placed into three categories (Table 2): (i) "high-protection reserves," which nominally receive almost complete protection; (ii) "moderate-protection reserves," which can be subjected to "sustainable" levels of industrial logging, agriculture, livestock grazing, hunting, fishing, and extraction of nontimber products; and (iii) "reserves with uncertain protection," which are extensive indigenous lands that collectively comprise 17% of the Brazilian Legal Amazon. In some areas indigenous lands may be effectively protected, especially where Amerindians are territorial and repel illegal colonists, loggers, and gold miners. In other areas, however (particularly where Amerindians have frequent contact with outsiders), a corruption of traditional lifestyles can occur, sometimes leading to a sharp increase in forest exploitation (13,14). Hence, environmental protection in indigenous lands is likely to be highly variable, and will probably decline as contact with outsiders increases.

Modeling past deforestation. To predict the impacts of planned highways, roads, and infrastructure projects (15) over the next 20 years, we assessed the effects of existing highways and roads on primary-forest cover during a recent 15- to 25-year period (16). As expected, the analyses (Fig. 2) revealed that deforestation strongly increased near highways and roads. Both roads and highways averaged about 30% forest loss within the 0- to 10-km zone, but highways had more far-reaching effects than roads, averaging about 20% and 15% forest loss in the 11- to 25- and 26- to 50-km zones, respectively. Roads tended to cause more-localized deforestation, with average forest loss declining below 15% for areas further than 25 km from the road. The most far-reaching effects we observed were the construction of 200- to 300-km-long state and local roads ramifying out laterally from several major highways.

Land-use categories. We used these analyses to help generate "optimistic" and "nonoptimistic" scenarios for the future of the Brazilian Amazon (17, 18). Our models predict the spatial distribution of four land-use categories: (i) "heavy-impact areas" have primary-forest cover that is absent or markedly reduced, and heavily fragmented; such areas are highly vulnerable to edge effects, fires, logging, and overhunting, and are severely degraded ecologically; (ii) "moderate-impact areas" have mostly intact primary-forest cover (>85%) but contain localized forest clearings and some roads, and may be affected by logging, mining, hunting, and oil and gas exploration; (iii) "light-impact areas" have nearly intact primary-forest cover (>95%) but can experience illegal gold-mining, small-scale farming, hunting, hand-logging, and nontimber resource extraction (e.g., rubber-tapping); and (iv) "pristine areas" have fully intact primary-forest cover and are free from anthropogenic impacts aside from limited hunting, fishing, and swidden farming by traditional indigenous communities.

Scenario assumptions. The sizes of degraded zones around highways, roads, rivers, and infrastructure projects have an empirical basis in our analyses of past deforestation (19). The optimistic and nonoptimistic scenarios differ, however, in that the former assumes that degraded zones will be more localized (Table 3). The models also differ in terms of the future viability of protected areas: the optimistic scenario assumes that all reserves will remain pristine or only lightly degraded, whereas the nonoptimistic model assumes that indigenous lands and moderate-protection reserves will become moderately degraded within 50 km of roads or 100 km of highways. The nonoptimistic scenario also assumes that high-protection reserves will become lightly degraded near roads and highways (Table 3).

Results and Interpretation

The optimistic scenario predicts that there will be continued deforestation in the southern and eastern portions of the Brazilian Amazon, and considerable large-scale fragmentation of forests in the central and southern parts of the basin. The Brazilian Amazon will be nearly bisected by heavily to moderately degraded areas along a north-south axis running from Rondônia to Manaus and northward to Venezuela. Pristine and lightly degraded forests will be fragmented into several blocks, with the largest tract surviving in the western Brazilian Amazon. According to this scenario, pristine forests will comprise just 27.6% of the region, with lightly degraded forests comprising another 27.5%. Almost 28% of the region will be deforested or heavily degraded (Fig. 3).

The nonoptimistic scenario projects an even more dramatic loss of forests along the southern and eastern areas of the basin. Large-scale fragmentation will also be more extensive, with much forest in the central, northern, and southeastern areas persisting only in isolated tracts. The basin will be almost completely bisected by a swath of heavily degraded lands along the north-south axis running from Rondônia to Venezuela. There will be very few areas of pristine forest aside from those in the western quarter of the region. This scenario predicts that pristine forests will comprise just 4.7% of the region, with lightly degraded forests comprising another 24.2%. Nearly 42% of the region will be deforested or heavily degraded (Fig. 3).

Both of our models suggest that the Brazilian Amazon will be drastically altered by current development plans and land-use trends over the next twenty years. The principal difference between the models is in the extent of forest loss and fragmentation and relative proportions of heavily degraded versus pristine forests (Fig. 3).

Some degree of oversimplification in our models was inevitable. For example, we did not incorporate the effect of population density into our models, in part because we observed that local road density in the Amazon seemed to be a good surrogate for local population density. It is also apparent that the degraded zones around roads, highways, and infrastructure projects will be more variable spatially than is indicated in our models. While we incorporated many of the factors that are likely to influence local deforestation (e.g., distance to roads, road quality [paved vs. unpaved], presence and type of protected areas, vulnerability to forest fires, logging and mining activity), it is impossible to include every potentially relevant factor.

The optimistic and nonoptimistic scenarios vary considerably, and at least three considerations suggest that the nonoptimistic scenario may better approximate reality. First, the nonoptimistic model realistically assumes that forests with high fire vulnerability will become heavily degraded, while those of moderate vulnerability will become moderately degraded. The model of fire vulnerability we used was produced for a normal dry season and is therefore conservative, in the sense that much larger areas of the Amazon become prone to fires during periodic El Niño droughts (4-7, 12).

Second, the nonoptimistic model assumes that protected areas near highways and roads will be lightly to moderately degraded. In fact, many protected areas in the Amazon are little more than "paper parks" with inadequate protection. A recent analysis (20) of 86 federal parks and protected areas in Brazil found that 43% were at high to extreme risk because of illegal deforestation, colonization, hunting, isolation of the reserve from other forest areas, and additional forms of encroachment. More than half of all reserves (54.6%) were judged to have nearly nonexistent management.

Finally, neither of our models incorporates possible synergistic effects that might occur as a result of large-scale forest conversion. Deforestation may substantially reduce regional rainfall because plant evapotranspiration is diminished when forests are converted to pastures or crops (21, 22) and because smoke particles from forest and pasture fires trap atmospheric moisture (23). Reduced atmospheric moisture can further result in decreased cloud cover and higher surface temperatures, especially in the dry season. These changes may make forests increasingly prone to fires, initiating a positive feedback cycle in which forest destruction exacerbates regional desertification, which in turn promotes more forest fires (2, 4, 7). The nature of these positive feedbacks is poorly understood, but they could potentially accelerate forest destruction and might therefore cause our model predictions to be overly conservative.

Negative Effects of New Roads and Infrastructure

What are the expected impacts of all the new highways and infrastructure projects? To address this question we reran our models without the Avança Brasil projects and other planned developments, and then compared the predictions to our original scenarios that included all the planned projects. Without the new projects, the rate of deforestation for the optimistic and nonoptimistic models (24), respectively, declined by an average of 269,000 to 506,000 ha per year, while the rate at which pristine or lightly degraded forests are converted to moderately or heavily degraded lands slowed by 1.53 to 2.37 million hectares per year (Fig. 3). The new projects were also a major cause of forest fragmentation; under the nonoptimistic scenario, for example, the area of the Brazilian Amazon that would persist in large (>100,000 km2) tracts of pristine to lightly degraded forest would be reduced by over 36% if the projects proceed as planned.

Carbon-offset funds from industrialized nations and private companies are likely to become an increasing important mechanism for promoting forest conservation and sustainable development in tropical regions (25). If the wave of planned projects did not proceed, we estimate that the financial value of the reduced carbon emissions alone would range from $0.52 to $1.96 billion per year (9), illustrating a clear potential for such revenues to improve living standards for local Amazonian communities. This is in addition to a range of other environmental services provided by intact forests, such as flood amelioration, soil conservation, the maintenance of stable rainfall regimes, preservation of biodiversity, benefits for ecotourism, and the support of indigenous communities (4, 27, 28). Finally, the social and economic costs that are often incurred in regions experiencing rapid deforestation, such as frequent airport closures and human health problems caused by heavy air pollution, recurring damage to crops and property from wildfires, and the need to maintain emergency fire-fighting capabilities (4, 7), would be substantially reduced.

References and Notes

  1. G. Goodman, A. Hall, Eds., The Future of Amazonia: Destruction or Sustainable Development? (Macmillan, London, 1990).
  2. W. F. Laurance, Trends Ecol. Evol.13, 411 (1998).
  3. P. M. Fearnside, in (1), pp. 179-225.
  4. D. C. Nepstad et al., Nature398, 505 (1999).
  5. R. I. Barbosa, P.M. Fearnside, Acta Amazonica29, 513 (1999).
  6. C. Uhl, R. Buschbacher, Biotropica17, 265 (1985).
  7. M. A. Cochrane et al., Science284, 1832 (1999).
  8. C. Gascon, G. B. Williamson, G. A. B. da Fonseca, Science288, 1356 (2000).
  9. The Avança Brasil program ( is designed to focus investments from international private and government sources on large-scale infrastructure projects that have been specifically targeted to accelerate economic development and exports [Avança Brasil: Development Structures for Investment (Ministry for Development, Industry, and Foreign Trade, Brasília, Brazil, 1999)]. Our analysis also includes several major infrastructure projects (e.g., Xingu Dams beyond Belo Monte, Cuiabá-Santar�m railway, Cuabá-Pôrto Velho railway, Aripuanã-Apuí-Novo Aripuanã highway, Perimetral Norte road) that are planned or were judged likely to proceed over the next 20 years.
  10. Identificação de Oportunidades de Investimentos P�blicos e/ou Privados: Estudo de Eixos Nacionais de Integração de Desenvolvimento (Programa Brasil em Ação, Brasília, Brazil, 2000).
  11. Eletrobrás: The Ten-Year Expansion Plan, B, 1998-2007 (Centrais El�tricas do Brasil, Rio de Janeiro, Brazil, 1998).
  12. It has been estimated that about 200,000 km2 of Brazilian Amazonian forest is vulnerable to fires during normal years, but this figure may approach 1.5 million km2 during periodic El Niño droughts [D. C. Nepstad et al., Conserv. Biol.12, 951 (1998)].
  13. In some cases, indigenous groups in Brazil have sold their timber to commercial loggers, permitted wildcat mining, overhunted wildlife, illegally cleared protected lands, invaded national parks, impeded firefighters, and even assaulted government inspectors attempting to control illegal logging [M. Margolis, Newsweek Int., 27 March, p. 10 (2000)].
  14. There has been considerable debate about the efficacy of indigenous lands in the Amazon for nature conservation [e.g., K. H. Redford, A. M. Stearman, Conserv. Biol.7, 427 (1993)].
  15. Road networks are generated by infrastructure projects, as it is nearly impossible to construct hydroelectric dams, power lines, gas lines, and other major facilities without road access.
  16. To do this we overlayed the 1995 road network on the Landsat Thematic Mapper-based Pathfinder map of the Brazilian Amazon for 1992. Many of the region's major highways (e.g., Bel�m-Brasília, Transamazon, BR-364) were constructed in the 1960s and 1970s, and thus had been in existence for 15 to 25 years by 1992, comparable to the 20-year time frame for our predictions. Initially, five "degradation zones" were created around all paved highways (0 to 10, 11 to 25, 26 to 50, 51 to 75, and 76-100 km on each side of the highway), and the percentage loss of primary-forest cover within each zone was determined. This analysis was then repeated using the entire network of highways and unpaved roads. Clouds, cloud shadows, and rivers were excluded from the analysis ( <_537 of="of" total="total" area.="area." zones="zones" were="were" truncated="truncated" if="if" they="they" passed="passed" outside="outside" the="the" brazilian="brazilian" legal="legal" amazon.="amazon." deforestation="deforestation" was="was" registered="registered" only="only" for="for" closed-canopy="closed-canopy" forests="forests" losses="losses" other="other" habitats="habitats" e.g.="e.g." savanna="savanna" not="not" included.="included." analyses="analyses" run="run" on="on" a="a" silicon="silicon" graphics="graphics" origin="origin" _2000="_2000" supercomputer="supercomputer" at="at" basic="basic" science="science" and="and" remote="remote" sensing="sensing" initiative="initiative" michigan="michigan" state="state" university.="university." li="li"> All maps and spatial data were georeferenced to a geographic coordinate system, using Imagine 8.3 software. Subsequently, georeferenced digital images were used for vector data-layer construction, using ArcInfo 7.2 with heads-up digitizing methods. Road and infrastructure buffers were created with ArcInfo for the appropriate distances. Data layers were integrated with overlay methodology. Most analyses were performed on a Silicon Graphics Indigo2 workstation at the headquarters of the Biological Dynamics of Forest Fragments Project in Manaus, Brazil.
  17. In our analyses, we assumed that the forests of the Brazilian Legal Amazon (consisting of 19 forest formations, mostly closed-canopy forests) spanned 4.0 million km2 before European colonization [Deforestation in Brazilian Amazonia (Instituto Nacional de Pesquisas Espaciais, São Jos� dos Campos, Brazil, 1992)].
  18. In the nonoptimistic scenario, for example, we assumed that paved highways would create a 50-km-wide zone of heavily degraded forests on each side (Table 3), because our analysis suggested that these areas averaged <85% forest cover (Fig. 1). Such areas would be prone to logging, fragmentation, fires, edge effects, and other ecological changes that could affect much of the remaining forest cover [W. F. Laurance et al., Science278, 1117 (1997); also see references (4, 7, 8)]. Likewise, we conservatively assumed that the lightly degraded zone would extend 100 to 200 km from paved highways (Table 3), because we observed many roads stretching at least 200 km from existing highways.
  19. L. V. Ferreira et al., áreas Protegidas ou Espaços Ameaçados? (World Wide Fund for Nature, Brasília, Brazil, 1999).
  20. J. Lean, D. A. Warrilow, Nature342, 411 (1989).
  21. J. Shukla, C. Nobre, P. Sellers, Science247, 1322 (1990).
  22. D. Rosenfeld, Geophys. Res. Lett.6, 3105 (1999).
  23. To estimate the amount of deforestation that can be directly attributed to the planned highways and infrastructure projects, we multiplied the expected increase in each forest-degradation category (Fig. 3) by the average percent forest loss in each category, based on analyses of past deforestation near highways and roads. These values were then summed and divided by 20, yielding a rough prediction of annual deforestation from these projects over the next 20 years. Because forest loss is spatially variable, we developed three different estimates of past deforestation-for Rondônia, the eastern Brazilian Amazon (east of 50° W longitude), and the entire Brazilian Amazon (Table 4)-and used the mean of these three estimates in our calculations.
  24. C. Kremen et al., Science288, 1828 (2000).
  25. The most plausible estimates suggest that carbon offsets will range from US$10 to $20 ton-1 in value over the next decade [P. M. Fearnside, in Global Climate Change and Tropical Ecosystems, R. Lal, J. Kimble, R. Steward, Eds. (CRC Press, Boca Raton, Florida, 2000), pp. 231-249]. We multiplied the projected values of carbon offsets ($10 to $20 ton-1) by the annual increases in deforestation attributable to the planned highways and infrastructure projects (269,047 to 505,846 ha; Table 4), and by the average net emissions of CO2-equivalent carbon from Amazon deforestation (194 metric tons ha-1). If carbon offsets are $10 ton-1, then the destroyed forests would be worth $0.52 to $0.98 billion per year. If carbon offsets are $20 ton-1, however, then the destroyed forests would be worth twice as much ($1.04 to $1.96 billion yr-1).
  26. P. M. Fearnside, Ecol. Econ.21, 53 (1997).
  27. M. J. Balick, R. Mendelsohn, Conserv. Biol.6, 128 (1992).
  28. L. L. Silva, Ecologia:Manejo de áreas Silvestres (Minist�rio do Meio Ambiente, Brasília, Brazil, 1996).
  29. F. Olmos, A. P. Queiroz-Filho, C. A. Lisboa, As Unidades de Conservação de Rôndonia (Secretaria de Planejamento, Rondônia, Brazil, 1998).
  30. A. B. Rylands, L. P. Pinto, Conservação da Biodiversidade na Amazônia Brasiliera: Uma Análise do Sistema de Unidades de Conservação (Fundação Brasileira para o Desenvolvimento Sustentável, Brasília, Brazil, 1998).
  31. S. H. Borges, M. Pinheiro, A. Murchie, C. Durigan, in As Florestas do Rio Negro, A. Oliveira and D. Daly, Eds. (Universidade Paulista Press, São Paulo, Brazil, 2000).
  32. Information on protected areas was partly gleaned from Internet websites of the Brazilian Institute for the Environment and Renewable Natural Resources (IBAMA), Instituto Socio-Ambiental, and Brazilian Institute for Geography and Statistics (IBGE); and communication with Luciene Pohl of Brazil's National Indian Foundation (FUNAI).

Supplemental Table 1. Data layers used in analyses of land-use trends in Brazilian Amazonia. Infrastructure projects include railroads, hydroelectric reservoirs, power lines, gas lines, and river-channelization projects.
Layer   Data Sources
Current forest cover and riversForest/nonforest coverage produced by the National Oceanographic and Atmospheric Administration based on 1999 AVHRR imagery
Existing highways (paved)and roads (unpaved)1995 map of Brazilian Legal Amazon (1:3,000,000 scale) produced by Brazilian Institute for Geography and Statistics (IBGE); supplemented by 1999 map of Amazonian protected areas (1:4,000,000 scale, Instituto Socio-Ambiental, São Paulo, Brazil), JERS-1 radar imagery for 1999, and personal knowledge
Planned roads and highways, and highway upgradesMaps and information provided by Avança Brasil (9), Brasil em Ação (10), and personal knowledge
Existing infrastructure projects1995 IBGE map of Brazilian Legal Amazon, and personal knowledge
Planned infrastructure projectsMaps and information provided by Avança Brasil (9), Brasil em Ação (10), Eletrobrás (11), and personal knowledge
Fire proneness of forestsMap of areas with high, medium, and low fire vulnerability, based on analyses of forest cover, seasonal soil moisture, logging activity, and recent fires during the1998 dry season (12)
Logging and mining activity1998 map of estimated legal and illegal logging, wild-cat gold mining, and industrial mining, produced by IBAMA, Brazil's national environmental agency
Federal and state parks and reserves, national forests, extractive reserves, and indigenous lands and reserves1995 IBGE map of Brazilian Legal Amazon, supplemented by 1999 map of Amazonian protected areas and personal knowledge

Supplemental Table 2. Legally permitted activities within protected and semiprotected areas in the Brazilian Amazon (29-33).
Type of area Recreation & tourismAgriculture & livestockLoggingharvests HuntingMining
Areas with nominally high protection
National/state parks YesNoNoNoNoNo
Ecological reservesYesNoNoNoNoNo
Biological reservesNoNoNoNoNoNo
Ecological stationsNoNoNoNoNoNo
Areas with moderate protection
National/state forestsYesYesYesYesYes1No
National forest reservesYesYesYesYesYes1No
Extractive reservesYesYesYesYesYes1No
State extractive forestsYesYesYesYesYes1No
Sustainable-use forestsYesYesYesYesYes1No
Sustain. devel. reservesYesYesYesYesYes1No
Environ. protection areasYesYes2Yes2Yes2NoYes2
Areas of relevant ecological interest YesYes2NoYes2NoNo
Areas with uncertain protection
Indigenous lands and reservesNoYesYesYesYesNo
1Hunting is allowed in some areas; for others information was unavailable.
2These activities are not expressly permitted, but because people are allowed to live in these reserves they will certainly occur, at least on a limited scale.

Supplemental Table 3. Explicit assumptions of "optimistic" and "nonoptimistic" GIS models to predict the future of the Brazilian Amazon.
Optimistic scenarioNonoptimistic scenario
(A) Degradation zones around paved highways (current and planned)
Heavily degraded zone 0-25 km0-50 km
Moderately degraded zone25-50 km
Lightly degraded zone50-75 km100-200 km
Pristine zone >75 km>200 km
(B) Degradation zones around unpaved roads, railroads, power lines, gas lines, industrial mines, and river-channelization projects (current and planned)
Heavily degraded zone 0-10 km0-25 km
Moderately degraded zone10-25 km25-50 km
Lightly degraded zone25-50 km50-100 km
Pristine zone >50 km>100 km
(C) Degradation zones around hydroelectric reservoirs
Heavily degraded zone Area inundatedArea inundated
Moderately degraded zone0-5 km0-10 km
Lightly degraded zone5-10 km10-25 km
Pristine zone >10 km>25 km
(D) Degradation zones around major navigable rivers (>900 m wide)
Heavily degraded zone0-2 km0-5 km
Moderately degraded zone2-5 km5-10 km
Lightly degraded zone5-10 km10-25 km
Pristine zone >10 km>25 km
(E) Areas prone to logging Moderately degradedMod. degraded
(F) Areas prone to wild-cat miningLightly degradedLightly degraded
(G) Areas prone to fires
High vulnerabilityModerately degraded Heavily degraded
Moderate vulnerabilityLightly degradedMod. degraded
(H) Conservation areas
High-protection areas outside buffersPristinePristine
High-protection areas inside buffersPristineLightly degraded
Mod.-protection areas outside buffersLightly degradedLightly degraded
Mod.-protection areas inside buffersLightly degradedMod. degraded
Indigenous areas outside buffersPristineLightly degraded
Indigenous areas inside buffersLightly degradedMod. degraded

Supplemental Table 4. Expected increases in total, annual, and percentage deforestation rates in the Brazilian Amazon over the next 20 years as a result of planned highways and infrastructure projects. The "percent increase" is relative to the current mean deforestation rate (1.89 million ha yr-1 for the 1995-1999 period). Estimates are shown for two development scenarios (optimistic and nonoptimistic), based on assessments of past deforestation in three different study areas (Rondônia/BR-364 Highway; eastern Brazilian Amazon; entire Brazilian Amazon). The mean value of the three scenarios was used in this study.
Total increase (ha)Annual increase (ha yr-1) Percent increase
Study area OptimisticNonopt.OptimisticNonopt.OptimisticNonopt.
Eastern Amazon7,055,03312,871,555352,752643,57818.734.1
(east of 50° W)
Entire Amazon3,429,2007,576,400171,460378,8209.120.0

Supplemental Figure 1. Existing and planned highways and infrastructure projects in the Brazilian Amazon. Top: highways and roads. Bottom: major infrastructure projects; "utilities" are gas lines and power lines, while "channels" are river-channelization projects.

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Supplemental Figure 2. Percentage of closed-canopy forest destroyed by 1992 as a function of distance from paved highways, and from all roads and highways, in the Brazilian Amazon.

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Supplemental Figure 3. Top: percentages of Brazilian Amazon forest in various degradation classes according to the optimistic and nonoptimistic scenarios. Bottom: results of the same scenarios generated without planned highways and infrastructure projects.

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