scholarly journals Savanna burning methodology for fire management and emissions reduction: a critical review of influencing factors

2016 ◽  
Vol 11 (1) ◽  
Author(s):  
Tek Narayan Maraseni ◽  
Kathryn Reardon-Smith ◽  
Greg Griffiths ◽  
Armando Apan
2021 ◽  
Author(s):  
Haiying Liu ◽  
zhiqun zhang

Abstract Against the background of energy shortages and severe air pollution, countries around the world are aware of the importance of energy conservation and emissions reduction; China is actively achieving emissions reduction targets. In this study, we use a symbolic regression to classify China's regions according to the degree of influencing factors, and calculate and analyze the inherent decoupling relationship between carbon emissions and economic growth in each region. Based on our results, we divided the 30 regions of the country into six categories according to the main influencing factors: GDP (13 regions), energy intensity (EI; 7 regions), industrial structure (IS; 3 regions), urbanization rate (UR; 3 regions), car ownership (CO; 2 regions), and household consumption level (HCL; 2 regions). Then, according to the order of the average carbon emissions in each region from high to low, these regions were further categorized as type-EI, type-UR, type-GDP, type-IS, type-CO, or type-HCL regions. The decoupling index of each region showed a downward trend; EI and GDP regions were the most notable contributors to emissions, based on which we provide policy recommendations.


Energies ◽  
2018 ◽  
Vol 11 (10) ◽  
pp. 2709 ◽  
Author(s):  
Weijun Wang ◽  
Weisong Peng ◽  
Jiaming Xu ◽  
Ran Zhang ◽  
Yaxuan Zhao

With power consumption increasing in China, the CO2 emissions from electricity pose a serious threat to the environment. Therefore, it is of great significance to explore the influencing factors of power CO2 emissions, which is conducive to sustainable economic development. Taking the characteristics of power generation, transmission and consumption into consideration, the grey relational analysis method (GRA) is adopted to select 11 influencing factors, which are further converted into 5 main factors by hierarchical clustering analysis (HCA). According to the possible variation tendency of each factor, 48 development scenarios are set up from 2018–2025, and then an extreme learning machine optimized by whale algorithm based on chaotic sine cosine operator (CSCWOA-ELM) is established to predict the power CO2 emissions respectively. The results show that gross domestic product (GDP) has the greatest impact on the CO2 emissions from power output, of which the average contribution rate is 1.28%. Similarly, power structure and living consumption level also have an enormous influence, with average contribution rates over 0.6%. Eventually, the analysis made in this study can provide valuable policy implications for power CO2 emissions reduction, which can be regarded as a reference for China’s 14th Five-Year development plan in the future.


2014 ◽  
Vol 36 (4) ◽  
pp. 389 ◽  
Author(s):  
Jeremy Dore ◽  
Christine Michael ◽  
Jeremy Russell-Smith ◽  
Maureen Tehan ◽  
Lisa Caripis

Land activities contribute ~18% of total greenhouse gas emissions produced in Australia. To help reduce these emissions, the Carbon Farming Initiative (CFI) was implemented in 2011 to encourage land projects, which reduce the production of greenhouse gases and/or sequester carbon in the land. Prospective projects include savanna fire management and rangelands management, which have high relevance in northern Australia where Indigenous landholding is strong. This paper explores the land-tenure requirements necessary for these kinds of carbon projects to be approved by the Clean Energy Regulator. It provides an introduction to the CFI before discussing the land tenure requirements in the states of Queensland, the Northern Territory and Western Australia with respect to both emissions reduction and carbon sequestration projects. Potential issues with the current framework are highlighted, especially in relation to native title.


2009 ◽  
Vol 18 (1) ◽  
pp. 1 ◽  
Author(s):  
Jeremy Russell-Smith ◽  
Brett P. Murphy ◽  
C. P. (Mick) Meyer ◽  
Garry D. Cook ◽  
Stefan Maier ◽  
...  

Although biomass burning of savannas is recognised as a major global source of greenhouse gas emissions, quantification remains problematic with resulting regional emissions estimates often differing markedly. Here we undertake a critical assessment of Australia’s National Greenhouse Gas Inventory (NGGI) savanna burning emissions methodology. We describe the methodology developed for, and results and associated uncertainties derived from, a landscape-scale emissions abatement project in fire-prone western Arnhem Land, northern Australia. The methodology incorporates (i) detailed fire history and vegetation structure and fuels type mapping derived from satellite imagery; (ii) field-based assessments of fuel load accumulation, burning efficiencies (patchiness, combustion efficiency, ash retention) and N : C composition; and (iii) application of standard, regionally derived emission factors. Importantly, this refined methodology differs from the NGGI by incorporation of fire seasonality and severity components, and substantial improvements in baseline data. We consider how the application of a fire management program aimed at shifting the seasonality of burning (from one currently dominated by extensive late dry season wildfires to one where strategic fire management is undertaken earlier in the year) can provide significant project-based emissions abatement. The approach has wider application to fire-prone savanna systems dominated by anthropogenic sources of ignition.


2019 ◽  
Vol 7 (4) ◽  
pp. 273-279
Author(s):  
Karen King ◽  
Rachel Burgess

Keynote paper presented at the International Leucaena Conference, 1‒3 November 2018, Brisbane, Queensland, Australia.The Australian Government has committed to reducing its greenhouse gas (GHG) emissions by 26‒28% below 2005 levels by 2030. The Emissions Reduction Fund (ERF), a center-piece of Australia’s climate change policies, provides incentives to reduce GHG emissions through economy-wide eligible activities, such as energy efficiency, waste management, revegetation, livestock management and savanna fire management. Emissions Reduction Fund methods define eligible activities, how to quantify abatement resulting from the activity and the required compliance measures.The requirements for developing ERF methods that quantify GHG abatement estimates resulting from eligible activities are described. Leucaena planting is used as an example. For an ERF method to be made and maintained, the activity must meet all the legislative requirements. This includes meeting the offsets integrity standards and having regard to any adverse environmental, economic and social impacts.


2012 ◽  
Vol 37 (6) ◽  
pp. 658-667 ◽  
Author(s):  
ALAN N. ANDERSEN ◽  
JOHN C. Z. WOINARSKI ◽  
CATHERINE L. PARR

2015 ◽  

In the context of Australia’s developing carbon economy, fire management helps to abate emissions of greenhouse gases and is an important means of generating carbon credits. The vast high-rainfall savannas of northern Australia are one of the world’s most flammable landscapes. Management of fires in this region has the potential to assist with meeting emissions reduction targets, as well as conserving biodiversity and providing employment for Indigenous people in remote parts of Australia’s north. This comprehensive volume brings together recent research from northern Australian savannas to provide an internationally relevant case study for applying greenhouse gas accounting methodologies to the practice of fire management. It provides scientific arguments for enlarging the area of fire-prone land managed for emissions abatement. The book also charts the progress towards development of a savanna fire bio-sequestration methodology. The future of integrated approaches to emissions abatement and bio-sequestration is also discussed.


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