Patterns and impacts of deforestation in Rondônia, Brazil

Pedlowski, Marcos Antônio; Dale, Virginia H.; Matricardi, Eraldo Aparecido Trondoli; Filho, Eliomar Pereira da Silva

doi:10.1016/s0169-2046(97)00030-3

Cited by 75 publications

(62 citation statements)

References 9 publications

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“…6 Deforestation in the Amazon region has resulted in the fast shifting of natural vegetation into other land uses, mostly extensive pasture fields. 7,8 In this process a large number of settlers have occupied regions where precarious conditions prevail (e.g. no electricity, piped water, sewage disposal, etc).…”

Section: Introductionmentioning

confidence: 99%

Groundwater quality comparison between rural farms and riparian wells in the western Amazon, Brazil

et al. 2011

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Recebido em 28/10/09; aceito em 30/7/10; publicado na web em 17/11/10Groundwater quality of a riparian forest is compared to wells in surrounding rural areas at Urupá River basin. Groundwater types were calcium bicarbonated at left margin and sodium chloride at right, whereas riparian wells exhibited a combination of both (sodium bicarbonate). Groundwater was mostly solute-depleted with concentrations within permissible limits for human consumption, except for nitrate. Isotopic composition suggests that inorganic carbon in Urupá River is mostly supplied by runoff instead of riparian groundwater. Hence, large pasture areas in addition to narrow riparian forest width in this watershed may have an important contribution in the chemical composition of this river.

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Section: Introductionmentioning

confidence: 99%

Groundwater quality comparison between rural farms and riparian wells in the western Amazon, Brazil

et al. 2011

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“…Accessibility is an important driver for small farmers who intensify land use in more accessible areas (Alves, Escada, Pereira, and Linhares 2003). Medium (250-1000 ha) and big farms (>1000 ha) occupy areas outside the official settlements, but land aggregation is often observed in older settlements (Coy 1987;Millikan 1992;Pedlowski, Dale, Matricardi, and da Silva 1997;Escada 2003). Soil fertility is an important determinant when hardly any forest remnants are left (Roberts et al 2002;Soler and Verburg 2010).…”

Section: Selection Of Land Cover Change Determinantsmentioning

confidence: 99%

“…Ranching is the predominant land use among medium and big farmers, but it can also be an important source of income for small landholders (Pedlowski et al 1997;Walker, Moran, and Anselin 2000). The regional and global beef demands are pointed as the main causes driving the increase in cattle herd in the Brazilian Amazon (Faminow 1997;Arima, Barreto, and Brito 2005).…”

Section: Selection Of Land Cover Change Determinantsmentioning

confidence: 99%

Using fuzzy cognitive maps to describe current system dynamics and develop land cover scenarios: a case study in the Brazilian Amazon

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Kok

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et al. 2012

Journal of Land Use Science

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In this study we developed a methodology to identify and quantify the relationships among determinants of land cover change using a regional case study in the Brazilian Amazon. The method is based on the application of fuzzy cognitive maps (FCMs), a semi-quantitative tool that provides a structured assessment of key feedbacks in scenario analysis. Novel to the application of FCMs is the use of spatial data-sets as the main input to build a cognitive map. Identification of interactions between land cover determinants and strengths is based on an empirical analysis of spatially explicit data and literature review. Expert knowledge is adopted to identify the strengths and weaknesses of the method. Potential pitfalls, such as spatial autocorrelation and scale issues, identified are intrinsic to the empirical data analysis. The outputs of the resulting FCMs are compared to the outputs of spatially explicit models under similar scenarios of change. The proposed method is said to be robust and reproducible when compared with participatory approaches, and it can endorse the consistency between demand and allocation in scenario analysis to be used in spatially explicit models.

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“…The study area is the Amazon biome, which covers nine states with 553 municipalities and an area of 4.2 million km 2 , representing approximately half of Brazil's territory. This biome is made up of the world's largest tropical rain forest, with a very significant biodiversity and quantity of carbon accumulated in the form of biomass.…”

Section: Study Areamentioning

confidence: 99%

“…PIN was created to protect the vast interior of Brazil by relocating citizens and to guarantee national sovereignty in the Amazon region, while PROTERRA supported these actions by creating better working conditions in the field and to foment agribusiness by providing the necessary infrastructure (roads, energy and its distribution, expansion of telecommunication networks etc.) to integrate the region into the domestic economy [1,2]. At the same time, the government offered tax incentives and credits for developing agriculture and livestock farming [3][4][5], and the lumber industry with consequent deforestation on a large scale [6].…”

Section: Introductionmentioning

confidence: 99%

Remote Sensing Images to Detect Soy Plantations in the Amazon Biome—The Soy Moratorium Initiative

et al. 2012

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Abstract:The Soy Moratorium is an initiative to reduce deforestation rates in the Amazon biome based on the hypothesis that soy is a deforestation driver. Soy planted in opened areas after July 24th, 2006 cannot be commercialized by the associated companies to the Brazilian Association of Vegetable Oil Industries (ABIOVE) and the National Association of Cereal Exporters (ANEC), which represent about 90% of the Brazilian soy market. The objective of this work is to present the evaluation of the fourth year of monitoring new soy plantations within the Soy Moratorium context. With the use of satellite images from the MODIS sensor, together with aerial survey, it was possible to identify 147 polygons with new soy plantations on 11,698 ha. This soy area represents 0.39% of the of the total deforested area during the moratorium, in the three soy producing states of the Amazon biome, and 0.6% of the cultivated soy area in the Amazon biome, indicating that soy is currently a minor deforestation driver. The quantitative geospatial information provided by an effective monitoring approach is paramount to the implementation of a governance OPEN ACCESSSustainability 2012, 4 1075 process required to establish an equitable balance between environmental protection and agricultural production.

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Patterns and impacts of deforestation in Rondônia, Brazil

Cited by 75 publications

References 9 publications

Groundwater quality comparison between rural farms and riparian wells in the western Amazon, Brazil

Groundwater quality comparison between rural farms and riparian wells in the western Amazon, Brazil

Using fuzzy cognitive maps to describe current system dynamics and develop land cover scenarios: a case study in the Brazilian Amazon

Remote Sensing Images to Detect Soy Plantations in the Amazon Biome—The Soy Moratorium Initiative

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