Articulos Institucionales de Impacto
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Examinando Articulos Institucionales de Impacto por Materia "Energy"
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Ítem Acceso Abierto Carbon accrual rates, vegetation and nutrient dynamics in a regularly burned coppice woodland in Germany(Blackwell Publishing Ltd, 2017) Borchard, N.; Adolphs, T.; Beulshausen, F.; Ladd, B.; Gießelmann, U.C.; Hegenberg, D.; Möseler, B.M.; Amelung, W.Historically, large areas of forest in Europe were managed as coppice woodland to produce wood-based fuel for the smelting industry. We hypothesized that this practice produced a legacy effect on current forest ecosystem properties. Specifically, we hypothesized that the historical form of coppicing may have produced a legacy of elevated stocks of soil organic carbon (SOC), nutrients and black carbon (BC) in soil as fire was routinely used in coppiced woodland to clear land. We further hypothesized that these changes in soil properties would result in increased biodiversity. To test these hypotheses, we sampled the surface soil (0–5, 5–10 and 10–20 cm) from a chronosequence of forest sites found in the Siegerland (Germany) that had been coppiced and burned 1, 2, 3.5, 6, 8, 11 and 17 years before present. Mature beech and spruce forests (i.e., >60 years) were also sampled as reference sites: to provide a hint of what might occur in the absence of human intervention. We measured stocks of SOC, BC, NO3-N, P, K, Mg, as well as cation exchange and water-holding capacity, and we mapped plant composition to calculate species richness and evenness. The results showed that coppicing in combination with burning soil and litter improved soil nutrient availability, enhanced biodiversity and increased SOC stocks. The SOC stocks and biodiversity were increased by a factor of three relative to those in the mature beech and spruce forests. This study shows that traditional coppicing practice may facilitate net C accrual rates of 20 t ha−1 yr−1 and maintain high biodiversity, indicating that aspects of traditional practice could be applied in current forest management to foster biodiversity and to mitigate climate change. © 2016 The Authors Global Change Biology Bioenergy Published by John Wiley & Sons Ltd.Ítem Acceso Abierto LMDI decomposition analysis of energy consumption in Andalusia (Spain) during 2003–2012: the energy efficiency policy implications(Springer Netherlands, 2015) Colinet Carmona, M.J.; Román Collado, R.The aim of this paper is to analyse the changes in final energy consumption in Andalusia through logarithmic mean Divisia index (LMDI) decomposition analysis during the period 2003–2012. The results lead us to conclude that a reduction of final energy (FE) consumption of 1 % took place as a result of a diminishing in structural effect by 11 % and an increase in the activity effect and intensity effect by 7.4 and 3.5 %, respectively. Chain-linked LMDI decomposition shows the existence of two sub-periods, with a turning point in 2008. The first period, coinciding to a great extent with the Andalusian Energy Plan 2003–2006 (PLEAN), showed an increase in final energy consumption, mostly due to the activity effect but also to the intensity effect. The second period, coinciding with the implementation of the Andalusian Sustainable Energy Plan 2007–2013 (PASENER), shows a reduction in the activity, structure and intensity effects. The results allow us to conclude that many of the energy efficiency measures, implemented through the PASENER, are related to sectors that experienced a decline in energy consumption due to the intensity effect, such as transport, primary and service sectors. Additionally, although they were included in PASENER, more policy attention should be given to the energy transformation, residential and industrial sectors which increased the demand for energy due to the intensity effect during this period. Finally, the energy-saving behaviour of economic agents due to the economic downturn should also be considered as an explanation for the diminishing in energy consumption during this sub-period. © 2015, Springer Science+Business Media Dordrecht.Ítem Acceso Abierto Main drivers of changes in CO2 emissions in the spanish economy:a structural decomposition analysis(Elsevier Ltd, 2016) Cansino, J.M.; Román, R.; Ordóñez, M.The aim of this paper is the analysis of structural decomposition of changes in CO2 emissions in Spain by using an enhanced Structural Decomposition Analysis (SDA) supported by detailed Input-Output tables from the World Input-Output Database (2013) (WIOD) for the period 1995-2009. The decomposition of changes in CO2 emissions at sectoral level are broken down into six effects: carbonization, energy intensity, technology, structural demand, consumption pattern and scale. The results are interesting, not only for researchers but also for utility companies and policy-makers as soon as past and current political mitigation measures are analyzed in line with such results. The results allow us to conclude that the implementation of the Kyoto Protocol together with European Directives related to the promotion of RES seem to have a positive impact on CO2 emissions trends in Spain. After reviewing the current mitigation measures in Spain, one policy recommendation is suggested to avoid the rebound effect and to enhance the fight against Climate Change that is tax benefits for those companies that prove reductions in their energy intensity ratios. © 2015 Elsevier Ltd.Ítem Acceso Abierto Modelling soil carbon content in South Patagonia and evaluating changes according to climate, vegetation, desertification and grazing(MDPI AG, 2018) Peri, P.L.; Rosas, Y.M.; Ladd, B.; Toledo, S.; Lasagno, R.G.; Pastur, G.M.In Southern Patagonia, a long-term monitoring network has been established to assess bio-indicators as an early warning of environmental changes due to climate change and human activities. Soil organic carbon (SOC) content in rangelands provides a range of important ecosystem services and supports the capacity of the land to sustain plant and animal productivity. The objectives in this study were to model SOC (30 cm) stocks at a regional scale using climatic, topographic and vegetation variables, and to establish a baseline that can be used as an indicator of rangeland condition. For modelling, we used a stepwise multiple regression to identify variables that explain SOC variation at the landscape scale. With the SOC model, we obtained a SOC map for the entire Santa Cruz province, where the variables derived from the multiple linear regression models were integrated into a geographic information system (GIS). SOC stock to 30 cm ranged from 1.38 to 32.63 kg C m-2. The fitted model explained 76.4% of SOC variation using as independent variables isothermality, precipitation seasonality and vegetation cover expressed as a normalized difference vegetation index. The SOC map discriminated in three categories (low, medium, high) determined patterns among environmental and land use variables. For example, SOC decreased with desertification due to erosion processes. The understanding and mapping of SOC in Patagonia contributes as a bridge across main issues such as climate change, desertification and biodiversity conservation. © 2018 by the authors.