Road Investments, Spatial Spillovers, and Deforestation in the Brazilian Amazon*

Pfaff, Alexander; Robalino, Juan; Walker, Robert; Aldrich, Stephen; Caldas, Marcellus M.; Reis, Eustáquio José; Perz, Stephen G.; Bohrer, Claudio Belmonte de Athayde; Arima, Eugênio; Laurance, William F.; Kirby, Kathryn R.

doi:10.1111/j.1467-9787.2007.00502.x

Cited by 210 publications

(141 citation statements)

References 14 publications

Supporting

Mentioning

126

Contrasting

Unclassified

Order By: Relevance

“…During the 4 years included in our sample, 40 km 2 were deforested per year per municipality on average. Underlying drivers of deforestation and land use more generally include mining (36), roads (53), and PAs (54). Eleven percent of the municipalities have mineral-extraction activities, including both legal and informal mining activities.…”

Section: Methodsmentioning

confidence: 99%

Public health impacts of ecosystem change in the Brazilian Amazon

Bauch¹,

Birkenbach

Pattanayak

et al. 2015

Proc. Natl. Acad. Sci. U.S.A.

View full text Add to dashboard Cite

The claim that nature delivers health benefits rests on a thin empirical evidence base. Even less evidence exists on how specific conservation policies affect multiple health outcomes. We address these gaps in knowledge by combining municipal-level panel data on diseases, public health services, climatic factors, demographics, conservation policies, and other drivers of land-use change in the Brazilian Amazon. To fully exploit this dataset, we estimate random-effects and quantile regression models of disease incidence. We find that malaria, acute respiratory infection (ARI), and diarrhea incidence are significantly and negatively correlated with the area under strict environmental protection. Results vary by disease for other types of protected areas (PAs), roads, and mining. The relationships between diseases and land-use change drivers also vary by quantile of the disease distribution. Conservation scenarios based on estimated regression results suggest that malaria, ARI, and diarrhea incidence would be reduced by expanding strict PAs, and malaria could be further reduced by restricting roads and mining. Although these relationships are complex, we conclude that interventions to preserve natural capital can deliver cobenefits by also increasing human (health) capital.infectious diseases | roads | mining | protected areas | Amazon forest

show abstract

Section: Methodsmentioning

confidence: 99%

Public health impacts of ecosystem change in the Brazilian Amazon

Bauch¹,

Birkenbach

Pattanayak

et al. 2015

Proc. Natl. Acad. Sci. U.S.A.

View full text Add to dashboard Cite

show abstract

“…As influências dos investimentos em infraestrutura e a pressão dos mercados para a produção agropecuária também foram considerados condicionantes para a conversão florestal da região (PFAFF;WALKER, 2010). Tais fatores são diretamente atribuídos à conectividade e resiliência proporcionadas pela presença de estradas (KIRBY et al, 2006;PFAFF et al, 2007;WEINHOLD;REIS, 2008;PERZ et al, 2012), ainda que o peso e o papel das estradas no debate sobre a conversão florestal precisam ser redimensionados (CAMARA et al, 2005).…”

Section: Introductionunclassified

Comunidades ribeirinhas como forma socioespacial de expressão urbana na Amazônia: uma tipologia para a região do Baixo Tapajós (Pará-Brasil)

Amaral¹,

Dal’Asta²,

Brigatti³

et al. 2013

Rev. bras. estud. popul.

View full text Add to dashboard Cite

O fenômeno urbano na Amazônia contemporânea se estende pelo território e se estrutura por diversas formas socioespaciais, tais como as comunidades locais, que, ao formarem redes urbanas incipientes, têm características particulares definindo sua importância na estruturação do território regional. Neste artigo, é proposto o uso de técnicas qualiquantitativas para definir uma tipologia para as comunidades ribeirinhas do Baixo Tapajós (Pará): variáveis descritoras, obtidas por questionários de campo aplicados a 62 comunidades, entre Santarém e Itaituba, e submetidas à estatística multivariada. A partir da análise de componentes principais para 30 variáveis e agrupamento hierárquico, cinco grupos de comunidades foram identificados e descritos; resultado considerado consistente com as observações de campo. Variáveis relacionadas principalmente ao uso da terra e à infraestrutura condicionaram esta classificação. Comunidades em unidades de conservação, independente da localização na margem do Rio Tapajós, apresentaram situação distinta das demais, sendo que a presença do Estado, suportando programas governamentais, mostrou-se fundamental para manutenção de todas as comunidades.

show abstract

“…To account for these regional land cover effects, we calculated the percent of urban, forest, pasture, and coffee cover within a 100 m radius in the 1991 land cover map (2) Socioeconomic variables 2.1 Distance to nearest roads. Proximity to roads may deter forest recovery because areas with easy access to good roads are more likely to undergo development (Lugo 2002;Pfaff et al 2007). Four road types were considered in the analysis: highways, primary, secondary, and tertiary roads.…”

Section: Potential Driversmentioning

confidence: 99%

Forest recovery in a tropical landscape: what is the relative importance of biophysical, socioeconomic, and landscape variables?

et al. 2009

View full text Add to dashboard Cite

Socioeconomic changes in many areas in the tropics have led to increasing urbanization, abandonment of agriculture, and forest re-growth. Although these patterns are well documented, few studies have examined the drivers leading to landscape-level forest recovery and the resulting spatial structure of secondary forests. Land cover transitions from agricultural lands to secondary forest in the island of Puerto Rico have been ongoing since the 1940s. This study is a glimpse into this landscape level trend from 1991 to 2000. First, we relied on Landsat images to characterize changes in the landscape structure for forest, urban, and agricultural land classes. We found that although forest cover has increased in this period, forest has become increasingly fragmented while the area of urban cover has spread faster and become more clustered. Second, we used logistic regression to assess the relationship between the transition to forest and 21 biophysical, socioeconomic, and landscape variables. We found that the percentage of forest cover within a 100 m radius of a point, distance to primary roads and nature reserves, slope, and aspect are the most important predictors of forest recovery. The resulting model predicts the spatial pattern of forest recovery with

show abstract

Road Investments, Spatial Spillovers, and Deforestation in the Brazilian Amazon*

Cited by 210 publications

References 14 publications

Public health impacts of ecosystem change in the Brazilian Amazon

Public health impacts of ecosystem change in the Brazilian Amazon

Comunidades ribeirinhas como forma socioespacial de expressão urbana na Amazônia: uma tipologia para a região do Baixo Tapajós (Pará-Brasil)

Forest recovery in a tropical landscape: what is the relative importance of biophysical, socioeconomic, and landscape variables?

Contact Info

Product

Resources

About