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

2010 ◽  
Vol 14 (15) ◽  
pp. 1-24 ◽  
Author(s):  
Gillian L. Galford ◽  
Jerry Melillo ◽  
John F. Mustard ◽  
Carlos E. P. Cerri ◽  
Carlos C. Cerri
Keyword(s):  
Greenhouse Gas Emissions ◽  
Greenhouse Gas ◽  
Vegetation Index ◽  
Leaf Phenology ◽  
Green Leaf ◽  
Gas Emissions ◽  
Mato Grosso ◽  
Cropping Patterns ◽  
Cropland Area ◽  
Double Cropping

Abstract 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 double-cropping 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 double-cropping 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 km2 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 CO2-e yr−1, over half the typical fossil fuel emissions for the country in recent years.

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

2009 ◽  
Vol 258 (9) ◽  
pp. 1968-1978 ◽  
Author(s):  
Philip Martin Fearnside ◽  
Ciro Abbud Righi ◽  
Paulo Maurício Lima de Alencastro Graça ◽  
Edwin W.H. Keizer ◽  
Carlos Clemente Cerri ◽  
...  
Keyword(s):  
Land Use ◽  
Land Use Change ◽  
Greenhouse Gas Emissions ◽  
Greenhouse Gas ◽  
Gas Emissions ◽  
Mato Grosso ◽  
Arc Of Deforestation

Greenhouse gas emissions from a wheat–maize double cropping system with different nitrogen fertilization regimes

2013 ◽  
Vol 176 ◽  
pp. 198-207 ◽  
Author(s):  
Xiao-Kang Hu ◽  
Fang Su ◽  
Xiao-Tang Ju ◽  
Bing Gao ◽  
Oene Oenema ◽  
...  
Keyword(s):  
Greenhouse Gas Emissions ◽  
Greenhouse Gas ◽  
Nitrogen Fertilization ◽  
Cropping System ◽  
Gas Emissions ◽  
Double Cropping

Greenhouse Gas Emissions from Selected Cropping Patterns in Bangladesh

2018 ◽  
pp. 69-77
Author(s):  
M. M. Haque ◽  
J. C. Biswas ◽  
M. Maniruzzaman ◽  
A. K. Choudhury ◽  
U. A. Naher ◽  
...  
Keyword(s):  
Greenhouse Gas Emissions ◽  
Greenhouse Gas ◽  
Gas Emissions ◽  
Cropping Patterns

scholarly journals A Model to Estimate Stored Carbon in the Upland Forests of the Wanggu Watershed

2020 ◽  
Vol 13 (4) ◽  
pp. 47
Author(s):  
Safril Kasim ◽  
Aminuddin Mane Kandari ◽  
Asramid Yasin ◽  
La Ode Agus Salim Mando
Keyword(s):  
Climate Change ◽  
Greenhouse Gas Emissions ◽  
Greenhouse Gas ◽  
Vegetation Index ◽  
Carbon Stocks ◽  
Biomass Carbon ◽  
Natural Forests ◽  
Gas Emissions ◽  
Production Forests ◽  
Potential Carbon

Climate change coupled with deforestation has brought about an increase in greenhouse gas emissions in the atmosphere. One way to control climate change is to reduce greenhouse gas emissions by maintaining the integrity of natural forests and increasing the density of tree populations. This research aimed to (a) identifies the density of stand trees in the upland forests of the Wanggu Watershed; (b) analyze the potential carbon stocks contained in the upstream forests of the Wanggu Watershed; (c) develop a model to estimate potential carbon stocks in the upland forests of the Wanggu Watershed. The land cover classification in this study used the guided classification with the Object-Based Image algorithm. Normalized Difference Vegetation Index (NDVI) was employed as an indicator of vegetation cover density. Field measurements were carried out by calculating the diameter of the stand trees in 30 observation plots. Field biomass values were obtained through allometric equations. Regression analysis was conducted to determine the correlation between NDVI densities and field biomass. The results showed that the best equation for estimating potential carbon stocks in the Wanggu Watershed forest area was y = 3.48 (Exp. 7,435x), with an R2 of 50.2%. Potential above ground biomass carbon in the Wanggu Watershed based on NDVI values was 414,043.26 tons in 2019, consist of protected forest areas of 279,070.15 tons and production forests of 134,973.11 tons. While total above biomass carbon based on field measurement reached 529,541.01 tons, consist of protected forests of 419,197.82 tons and production forests of 110,343.20 tons.

Low-Carbon Russia: Prospects after the Crisis

2009 ◽  
pp. 107-120 ◽  
Author(s):  
I. Bashmakov
Keyword(s):  
Economic Growth ◽  
Potential Energy ◽  
Greenhouse Gas Emissions ◽  
Greenhouse Gas ◽  
Low Carbon ◽  
Modeling Tools ◽  
Gas Emissions ◽  
Scenario Approach

On the eve of the worldwide negotiations of a new climate agreement in December 2009 in Copenhagen it is important to clearly understand what Russia can do to mitigate energy-related greenhouse gas emissions in the medium (until 2020) and in the long term (until 2050). The paper investigates this issue using modeling tools and scenario approach. It concludes that transition to the "Low-Carbon Russia" scenarios must be accomplished in 2020—2030 or sooner, not only to mitigate emissions, but to block potential energy shortages and its costliness which can hinder economic growth.

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