Historical reconstruction of land use in the Brazilian Amazon (1940–1995)

Leite, Christiane Cavalcante; Costa, Marcos Heil; Lima, Cleverson Alves de; Ribeiro, Carlos Antônio Álvares Soares; Sediyama, Gilberto Chohaku

doi:10.1080/1747423x.2010.501157

Cited by 30 publications

(22 citation statements)

References 24 publications

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“…Leite et al . () merged a satellite‐derived land classification for 2000 at a spatial resolution of 5′ (approximately 10 × 10 km; Ramankutty et al ., ) with census data to analyze the geographic patterns of agricultural land use in Brazilian Amazon. This methodology has been validated by Leite et al .…”

Section: Discussionmentioning

confidence: 99%

“…We use an similar approach to that used in previous global (Monfreda et al ., ; Ramankutty et al ., ) and Brazilian (Leite et al ., , ) agricultural land use reconstructions. Specifically, our reconstruction is based on a combination of remote sensing data – to provide the land use localization – and census or inventory data – to identify type and amount of the agricultural land use.…”

Section: Methodsmentioning

confidence: 99%

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Patterns of land use, extensification, and intensification of Brazilian agriculture

Dias

Pimenta

Santos

et al. 2016

Global Change Biology

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266

207

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Sustainable intensification of agriculture is one of the main strategies to provide global food security. However, its implementation raises enormous political, technological, and social challenges. Meeting these challenges will require, among other things, accurate information on the spatial and temporal patterns of agricultural land use and yield. Here, we investigate historical patterns of agricultural land use (1940-2012) and productivity (1990-2012) in Brazil using a new high-resolution (approximately 1 km(2) ) spatially explicit reconstruction. Although Brazilian agriculture has been historically known for its extensification over natural vegetation (Amazon and Cerrado), data from recent years indicate that extensification has slowed down and was replaced by a strong trend of intensification. Our results provide the first comprehensive historical overview of agricultural land use and productivity in Brazil, providing clear insights to guide future territorial planning, sustainable agriculture, policy, and decision-making.

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Section: Discussionmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Patterns of land use, extensification, and intensification of Brazilian agriculture

Dias

Pimenta

Santos

et al. 2016

Global Change Biology

Self Cite

266

207

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“…In the last decades, southern Amazon has been an important expansion frontier for grain production and cattle ranching driven by the international commodities market (Verburg et al ., , ). The agricultural expansion associated with the exploitation of timber, road expansion and accelerated urbanization have led to rapid deforestation (Leite et al ., ). In our study period (from 1998 to 2012), data from Dias et al .…”

Section: Methodsmentioning

confidence: 97%

The southern Amazon rainy season: The role of deforestation and its interactions with large‐scale mechanisms

Leite-Filho

Costa

2019

Intl Journal of Climatology

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Past studies presented evidence that deforestation may affect the precipitation seasonality in southern Amazon. This study uses daily rainfall data from Tropical Rainfall Measurement Mission 3B42 product and a recent yearly 1‐km land use dataset to evaluate the quantitative effects of deforestation on the onset, demise and length of the rainy season in southern Amazon for a period of 15 years (1998–2012). Additionally, we use the Niño4 index, zonal wind data and deforestation data to explain and predict the interannual variability of the onset of the rainy season. During this period, onset has delayed ~0.38 ± 0.05 days per year (5.7 ± 0.75 days in 15 years), demise has advanced 1.34 ± 0.76 days per year (20 ± 11.4 days in 15 years) and the rainy season has shortened by 1.81 ± 0.97 days per year (27 ± 14.5 days in 15 years). Onset, demise and length also present meridional and zonal gradients linked to large‐scale climate mechanisms. After removing the effects related to geographical position and year, we verified a relationship between onset, demise and length and deforestation: Onset delays ~0.4 ± 0.12 day, demise advances ~1.0 ± 0.22 day and length decreases ~0.9 ± 0.34 day per each 10% deforestation increase relative to existing forested area. We also present empirical evidence of the interaction between large‐scale and local‐scale processes, with interannual variation of the onset in the region explained by Niño4 sea surface temperature anomalies, Southern Hemisphere subtropical jet position, deforestation and their interactions (r2 = 69%, p < .001, mean absolute error = 2.7 days).

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“…This static representation of vegetation classes was complemented with yearly information of land use and land cover change from the historical reconstruction by Leite et al (2011), based on historical census data and contemporary land use classification, considering cultivated areas and both natural and planted pastures in Amazonia. Because historical discharges used in this work are contemporary with land use changes in the basin, the reconstruction of Leite et al (2011) was an input data for the simulation of discharges during this period. By 1990, the drainage area was 70% covered by "broadleaf evergreen trees", which corresponds to the Amazon Forest; 21% was covered by "broadleaf trees with groundcover", which is the Cerrado biome; the remaining 9% was covered by short vegetation and croplands.…”

Section: Datamentioning

confidence: 99%

Exploratory analyses for the assessment of climate change impacts on the energy production in an Amazon run-of-river hydropower plant

Mohor

Rodríguez

Tomasella

et al. 2015

Journal of Hydrology: Regional Studies

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a b s t r a c tStudy region: The Tapajós Basin is an important Amazon tributary affected by human activities with great potential for water conflicts. The basin, as others within the Amazon region, is receiving a number of hydropower plants, among them the Teles Pires plant, projected to operate in 2015. Study focus: Hydrological impacts due to climate change affect human activities, such as hydroelectric generation, and should be carefully studied for better planning of water management. In this study, we assess climate change impacts by applying the MHD-INPE hydrological model using several climate models projections as inputs. The impact assessment consisted of statistical shifts of precipitation and discharge. Energy production in a projected hydropower plant was assessed through the development of annual power duration curves for each projection, also considering its design and structural limitations. New hydrological insights for the region: The high inter-model variability in the climate projections drives a high variability in the projected hydrological impacts. Results indicate an increase of basin's sensitivity to climate change and vulnerability of water exploitation. Uncertainties prevent the identification of a singular optimal solution for impacts assessment. However, exploratory analysis of the plant design robustness for hydropower generation show a reduction in the energy production even under projections of increased discharge, due to plant capacity limitations. This is valuable information for stakeholders to decide about energy production strategies.

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Historical reconstruction of land use in the Brazilian Amazon (1940–1995)

Cited by 30 publications

References 24 publications

Patterns of land use, extensification, and intensification of Brazilian agriculture

Patterns of land use, extensification, and intensification of Brazilian agriculture

The southern Amazon rainy season: The role of deforestation and its interactions with large‐scale mechanisms

Exploratory analyses for the assessment of climate change impacts on the energy production in an Amazon run-of-river hydropower plant

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