Adrian Ghilardi

Potential greenhouse gas benefits of transatlantic wood pellet trade

Power utility companies in the United Kingdom are using imported wood pellets from the southern region of the United States for electricity generation to meet the legally binding mandate of sourcing 15% of the nations total energy consumption from renewable sources by 2020. This study ascertains relative savings in greenhouse gas (GHG) emissions for a unit of electricity generated using imported wood pellet in the United Kingdom under 930 different scenarios: three woody feedstocks (logging residues, pulpwood, and logging residues and pulpwood combined), two forest management choices (intensive and non-intensive), 31 plantation rotation ages (year 10 to year 40 in steps of 1 year), and five power plant capacities (20–100 MW in steps of 20 MW). Relative savings in GHG emissions with respect to a unit of electricity derived from fossil fuels in the United Kingdom range between 50% and 68% depending upon the capacity of power plant and rotation age. Relative savings in GHG emissions increase with higher power plant capacity. GHG emissions related to wood pellet production and transatlantic shipment of wood pellets typically contribute about 48% and 31% of total GHG emissions, respectively. Overall, use of imported wood pellets for electricity generation could help in reducing the United Kingdoms GHG emissions. We suggest that future research be directed to evaluation of the impacts of additional forest management practices, changing climate, and soil carbon on the overall savings in GHG emissions related to transatlantic wood pellet trade.

Dealing with locally-driven degradation : a quick start option under REDD+

The paper reviews a number of challenges associated with reducing degradation and its related emissions through national approaches to REDD+ under UNFCCC policy. It proposes that in many countries, it may in the short run be easier to deal with the kinds of degradation that result from locally driven community over-exploitation of forest for livelihoods, than from selective logging or fire control. Such degradation is low-level, but chronic, and is experienced over very large forest areas. Community forest management programmes tend to result not only in reduced degradation, but also in forest enhancement; moreover they are often popular, and do not require major political shifts. In principle these approaches therefore offer a quick start option for REDD+. Developing reference emissions levels for low-level locally driven degradation is difficult however given that stock losses and gains are too small to be identified and measured using remote sensing, and that in most countries there is little or no forest inventory data available. We therefore propose that forest management initiatives at the local level, such as those promoted by community forest management programmes, should monitor, and be credited for, only the net increase in carbon stock over the implementation period, as assessed by ground level surveys at the start and end of the period. This would also resolve the problem of nesting (ensuring that all credits are accounted for against the national reference emission level), since communities and others at the local level would be rewarded only for increased sequestration, while the national reference emission level would deal only with reductions in emissions from deforestation and degradation.

A Suite of Tools for Assessing Thematic Map Accuracy

Although land use/cover maps are widely used to support management and environmental policies, only some studies have reported their accuracy using sound and complete assessments. Thematic map accuracy assessment is typically achieved by comparing reference sites labeled with the “ground-truth” category to the ones depicted in the land use/cover map. A variety of sampling designs are used to select these references sites. The estimators for accuracy indices and the variance of these estimators depend on the sampling design. However, the tools used to assess accuracy available in the main program packages compute the accuracy indices without taking into account the sampling and give inconsistent estimates. As an alternative, we present free user-friendly tools that enable users beyond the Geographic Information Science Community to compute accuracy indices and estimate corrected areas of given categories with their respective confidence intervals. The tool runs in Dinamica EGO, a free platform for environmental spatial modeling as well as a Q-GIS plugin and a R package. Additionally, a practical application example is described using a case study area in central-west Mexico.

Perceptions of stakeholders about nontraditional cookstoves in Honduras

We used SWOT-AHP (strengths, weaknesses, opportunities and threats–analytical hierarchy process) technique to measure perceptions of four stakeholder groups: employees, local promoters, community leaders and end-users, about a nontraditional cookstove (NTCS) in Honduras. These stakeholder groups are part of an ongoing NTCS dissemination project led by Proyecto Mirador. We found that all stakeholder groups have a positive perception about the existing NTCS. Employees and local promoters stakeholder groups share similar perceptions. Smokeless cooking was selected as a prime strength, closely followed by reduction in forest logging and greenhouse gas emissions by all stakeholder groups. Availability of financial resources and responsible management were identified as crucial opportunities. Time spent in wood preparation and NTCS maintenance were identified as principal weaknesses. A long waiting time between a request and installation of NTCS and the risk of losing existing financial resources were acknowledged as major threats. Design improvements that can reduce maintenance and wood preparation time, a secure long-term source of funding through a market mechanism or direct/indirect government involvement, and early execution of pending orders will help in increasing adoption of NTCSs in rural Honduras.

Ecological Sustainability of Woodfuel as an Energy Source in Rural Communities

Between one-third and one-half of the world’s population rely on wood and other biomass fuels to meet their energy needs. Table 18.1 shows an estimate of the number of people relying on biomass fuels in 2004 from the International Energy Agency (IEA 2006 ). The use of wood as a household fuel is overwhelmingly concentrated in less developed countries where alternative fuels like natural gas, kerosene, liquefi ed petroleum gas (LPG), and electricity are inaccessible.

Validation of MODIS Vegetation Continuous Fields for monitoring deforestation and forest degradation: two cases in Mexico

Abstract This study assesses whether MODIS Vegetation Continuous Fields percent tree cover (PTC) data can detect deforestation and forest degradation. To assess the usefulness of PTC for detecting deforestation, we used a data set consisting of eight forest and seven non-forest categories. To evaluate forest degradation, we used data from two temperate forest types in three conservation states: primary (dense), secondary (moderately degraded) and open (heavily degraded) forest. Our results show that PTC can differentiate temperate forest from non-forest categories (p = 0.05) and thus suggests PTC can adequately detect deforestation in temperate forests. In contrast, single-date PTC data does not appear to be adequate to detect forest degradation in temperate forests. As for tropical forest, PTC can partially discriminate between forest and non-forest categories.

Assessing forest cover change in Mexico from annual MODIS VCF data (2000–2010)

ABSTRACT We applied annual Moderate Resolution Imaging Spectroradiometer (MODIS) product Vegetation Continuous Fields (VCF) data for the detection of forest cover change (FCC) in Mexico over the period 2000–2010. We excluded the pixels with uncertain information and applied a moving average and low-pass filter to smooth the multi-temporal data to reduce the fluctuations in the forest cover for each pixel. We applied a linear regression model and created two scenarios based on the coefficient of determination and slope to determine whether a pixel had changed its land cover over the study period. This model was able to label detected changes as deforestation, degradation, reforestation, and regrowth, based on the initial and final values of forest cover. The results showed that there has been more forest gain (reforestation and regrowth) than forest loss (deforestation and degradation) during the study period. We verified these results by comparing with the biomass data derived from the Mexican National Forest and Soil Inventory (Inventario Nacional Forestal y de Suelos, abbreviated to INFyS). Our model provides an efficient method to assess FCC at national level, which can contribute to the development of a reference level of greenhouse gas emission as necessary for the implementation of the international policy for reduction of emissions from deforestation and forest degradation (REDD+).

Validation of MODIS vegetation continuous fields in two areas in Mexico

The MODIS vegetation continuous fields (VCF) product has a percent tree cover layer; hence it could potentially be used to detect hotspots of deforestation and forest degradation, if data accuracy is high. This paper assesses the accuracy of the VCF percent tree cover layer by comparing it with land cover maps in two areas in Mexico. Specifically, we assess whether it can (1) differentiate forest from non-forest and (2) detect forest degradation. The VCF percent tree cover layer is considered accurate if the percent tree cover value of forest is markedly higher than non-forest, and the value of conserved forest higher than degraded forest. Our results show that VCF percent tree cover can accurately differentiate forest from non-forest except from the case of tropical dry forest. It also discriminate primary forest from open secondary forest; however, secondary forest with regrowth shows higher percent tree cover value than primary forest. Based on the obtained results, the VCF percent tree cover seems to be a promising product for deforestation and degradation detection. However, a quantitative assessment incorporating other areas with more vegetation types is recommended before its application for forest cover change analysis in Mexico.