Estimativas dos estoques de carbono dos solos nos estados de Rondônia e Mato Grosso anteriores à intervenção antrópica

Mello, Francisco Fujita de Castro

doi:10.11606/d.11.2007.tde-17102007-112442

Cited by 10 publications

(22 citation statements)

References 38 publications

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“…To date, two-thirds of the Brazilian cerrado and cerradão has been converted to agriculture (Klink and Machado 2005;Myers et al 2000). Much of the remaining intact cerrado and cerradão are in Mato Grosso, but the threat of agricultural conversion creates a challenging juxtaposition of agricultural development and conservation priorities (Conservation International 2008;Klink and Machado 2005;Mello 2007). …”

Section: Study Areamentioning

confidence: 99%

“…We classed ''extensification'' as any area that moved from ''not cropland'' in 2001 to ''cropland'' in any subsequent year and remained in cropland through 2006. We identified the source ecosystem cleared for the cropland using the potential natural vegetation map, or the extent of natural vegetation were there no land use, of Mello (Mello 2007) to calculate greenhouse gas emissions. Mello (Mello 2007) collected and compiled natural vegetation data from various state-level offices in Mato Grosso using a geographic information system (GIS).…”

Section: Remote Sensing Of Croplandsmentioning

confidence: 99%

“…We combined our cropland classification scheme, the natural vegetation map (Mello 2007), and pasture maps generated elsewhere but covering almost the same study period (2001-05;Morton et al 2009;Morton et al 2006) to determine these landuse transitions. For 2006, new pasture areas were assumed to have a linear relationship based on the 2001-05 period, and their distribution was weighted by biome.…”

Section: Remote Sensing Of Croplandsmentioning

confidence: 99%

“…We see different cropland extensification rates for the different natural biomes (Figure 4). When weighted by area of potential natural vegetation type, the cerrado supplied the largest relative amount of land for croplands, with croplands accounting for 18% of the cerrado's potential area as estimated by Mello (Mello 2007). Over 22 000 km 2 of new croplands emerged in the cerrado biome, a 10% increase in cropland area for Mato Grosso's cerrado region (Figure 4).…”

Section: Remote Sensing Accuracymentioning

confidence: 99%

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The Amazon Frontier of Land-Use Change: Croplands and Consequences for Greenhouse Gas Emissions

et al. 2010

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The Brazilian Amazon is one of the most rapidly developing agricultural frontiers in the world. The authors assess changes in cropland area and the intensification of cropping in the Brazilian agricultural frontier state of Mato Grosso using remote sensing and develop a greenhouse gas emissions budget. The most common type of intensification in this region is a shift from single-to doublecropping patterns and associated changes in management, including increased fertilization. Using the enhanced vegetation index (EVI) from the Moderate Resolution Imaging Spectroradiometer (MODIS) sensor, the authors created a green-leaf phenology for 2001-06 that was temporally smoothed with a wavelet filter. The wavelet-smoothed green-leaf phenology was analyzed to detect cropland areas and their cropping patterns. The authors document cropland extensification and doublecropping intensification validated with field data with 85% accuracy for detecting croplands and 64% and 89% accuracy for detecting single-and double-cropping patterns, respectively. The results show that croplands more than doubled from 2001 to 2006 to cover about 100 000 km 2 and that new double-cropping intensification occurred on over 20% of croplands. Variations are seen in the annual rates of extensification and double-cropping intensification. Greenhouse gas emissions are estimated for the period 2001-06 due to conversion of natural vegetation and pastures to row-crop agriculture in Mato Grosso averaged 179 Tg CO 2 -e yr 21, over half the typical fossil fuel emissions for the country in recent years.

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Section: Study Areamentioning

confidence: 99%

Section: Remote Sensing Of Croplandsmentioning

confidence: 99%

Section: Remote Sensing Of Croplandsmentioning

confidence: 99%

Section: Remote Sensing Accuracymentioning

confidence: 99%

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The Amazon Frontier of Land-Use Change: Croplands and Consequences for Greenhouse Gas Emissions

et al. 2010

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“…The pluviometric regime has very defined seasons: a rainy and a dry season (or low rainy season) with mean annual precipitation ranging from 1400 to 2500 mm. The types of soil in this region, as described by Mello (2007), are Oxisols, Ultisols and Entisols, comprising 40%, 20% and 15%, respectively, of the total area of both states. The research sites were selected to cover the main bio and geo-climatic zones of the States of Rondonia and Mato Grosso (Fig.…”

Section: Study Areasmentioning

confidence: 99%

Soil Microbial Biomass Under Native Cerrado and Its Changes After the Pasture and Annual Crops Introduction

Frazão¹,

Carvalho²,

Mazzetto³

et al. 2011

Biomass and Remote Sensing of Biomass

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Generally, the term biomass is used for all materials originating from photosynthesis. However, biomass can equally apply to animals. Conservation and management of biomass is very important. There are various ways and methods for biomass evaluation. One of these methods is remote sensing. Remote sensing provides information about biomass, but also about biodiversity and environmental factors estimation over a wide area. The great potential of remote sensing has received considerable attention over the last few decades in many different areas in biological sciences including nutrient status assessment, weed abundance, deforestation, glacial features in Arctic and Antarctic regions, depth sounding of coastal and ocean depths, and density mapping. The salient features of the book include:Several aspects of biomass study and survey Use of remote sensing for evaluation of biomass Evaluation of carbon storage in ecosystems Evaluation of primary productivity through case studies How to referenceIn order to correctly reference this scholarly work, feel free to copy and paste the following: Leidivan A. Frazaõ, Joaõ Luis N. Carvalho, André M. Mazzetto, Felipe José C. Fracetto, Karina Cenciani, Brigitte J. Feigl and Carlos C. Cerri (2011). Soil Microbial Biomass Under Native Cerrado and Its Changes After the Pasture and Annual Crops Introduction, Biomass and Remote Sensing of Biomass, Dr. Islam Atazadeh (Ed.), ISBN: 978-953-307-490-0, InTech, Available from: http://www.intechopen.com/books/biomassand-remote-sensing-of-biomass/soil-microbial-biomass-under-native-cerrado-and-its-changes-after-thepasture-and-annual-crops-intro

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Biomass and greenhouse-gas emissions from land-use change in Brazil's Amazonian “arc of deforestation”: The states of Mato Grosso and Rondônia

Fearnside

Righi

Graça

et al. 2009

Forest Ecology and Management

110

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Estimativas dos estoques de carbono dos solos nos estados de Rondônia e Mato Grosso anteriores à intervenção antrópica

Cited by 10 publications

References 38 publications

The Amazon Frontier of Land-Use Change: Croplands and Consequences for Greenhouse Gas Emissions

The Amazon Frontier of Land-Use Change: Croplands and Consequences for Greenhouse Gas Emissions

Soil Microbial Biomass Under Native Cerrado and Its Changes After the Pasture and Annual Crops Introduction

Biomass and greenhouse-gas emissions from land-use change in Brazil's Amazonian “arc of deforestation”: The states of Mato Grosso and Rondônia

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