Carbon soundings: greenhouse gas emissions of the UK music industry

Methane emissions along biomethane and biogas supply chains are underestimated

The Queensland Government's Tackling Alcohol-Fuelled Violence (TAFV) Policy was met with concern from live music venue owners who feared decreased patronage and associated revenue. This study investigates the impact of the TAFV Policy on live music venues and performances in Fortitude Valley, an inner-city suburb of Brisbane, Australia recognised as a hub of live music performances. Data relating to live music venues and performances in Fortitude Valley for the 2000-2018 financial years were obtained from the Australasian Performing Right Association (APRA AMCOS), who maintains an online data portal allowing artists to enter performance details to collect royalty payments. These data were supplemented with six precinct mapping audits of live music venues operating in the Fortitude Valley Safe Night Precinct between July 2016 and September 2019. APRA AMCOS data show increases in the number of reported live music performances and venues in Fortitude Valley between 2000 and 2019. Precinct mapping audits show minimal changes in the operation of live music venues in Fortitude Valley between 2016 and 2019. As the first study to independently document the impact of licenced venue trading hour changes on live music, this study shows the number of live performances reported to APRA AMCOS and original live music venues trading in the Fortitude Valley Safe Night Precinct were unchanged by the introduction of the TAFV. The study highlights the value of using performance returns and venue audits to track live music in a contested policy space.

Globally, agriculture is directly responsible for 14% of annual greenhouse gas(GHG) emissions and induces an additional 17% through land use change, mostlyin developing countries (Vermeulen et al 2012). Agricultural intensification andexpansion in these regions is expected to catalyze the most significant relativeincreases in agricultural GHG emissions over the next decade (Smith et al 2008,Tilman et al 2011). Farms in the developing countries of sub-Saharan Africa andAsia are predominately managed by smallholders, with 80% of land holdingssmaller than ten hectares (FAO 2012). One can therefore posit that smallholderfarming significantly impacts the GHG balance of these regions today and willcontinue to do so in the near future.However, our understanding of the effect smallholder farming has on theEarth’s climate system is remarkably limited. Data quantifying existing andreduced GHG emissions and removals of smallholder production systems areavailable for only a handful of crops, livestock, and agroecosystems (Herrero et al2008, Verchot et al 2008, Palm et al 2010). For example, fewer than fifteenstudies of nitrous oxide emissions from soils have taken place in sub-SaharanAfrica, leaving the rate of emissions virtually undocumented. Due to a scarcity ofdata on GHG sources and sinks, most developing countries currently quantifyagricultural emissions and reductions using IPCC Tier 1 emissions factors.However, current Tier 1 emissions factors are either calibrated to data primarilyderived from developed countries, where agricultural production conditions aredissimilar to that in which the majority of smallholders operate, or from data thatare sparse or of mixed quality in developing countries (IPCC 2006). For the mostpart, there are insufficient emissions data characterizing smallholder agricultureto evaluate the level of accuracy or inaccuracy of current emissions estimates.Consequentially, there is no reliable information on the agricultural GHG budgetsfor developing economies. This dearth of information constrains the capacity totransition to low-carbon agricultural development, opportunities for smallholdersto capitalize on carbon markets, and the negotiating position of developingcountries in global climate policy discourse.Concerns over the poor state of information, in terms of data availability andrepresentation, have fueled appeals for new approaches to quantifying GHGemissions and removals from smallholder agriculture, for both existing conditionsand mitigation interventions (Berry and Ryan 2013, Olander et al 2013).Considering the dependence of quantification approaches on data and the currentdata deficit for smallholder systems, it is clear that in situ measurements must bea core part of initial and future strategies to improve GHG inventories and

A life cycle assessment of greenhouse gas (GHG: CO2, CH4, N2O) emissions for woodchip-paved walkways using tsunami salt-damaged wood was conducted in Otsuchi, Iwate Prefecture. The GHG emissions for woodchip-paved walkways from the raw material procurement process to the construction process were 2.62 kg-CO2-eq/m2/year. Of these, most were for the raw material procurement process (88 %), with the production process accounting for 7 %, the transportation process <1 %, and the construction process 4 %. In the raw material procurement process, almost all of the GHG emissions were related to raw materials for adhesive. On the other hand, in the disposal process, use of disposed chips as energy (heat supply) in place of heavy oil obtained GHG emission reductions of 2.42 kg-CO2-eq/m2/year. With these taken into account, the net GHG emissions of the woodchip-paved walkway were reduced to 0.20 kg-CO2-eq/m2/year. We found that using a woodchip-paved walkway to replace an asphalt-paved walkway could reduce GHG emissions by 1.45 kg-CO2-eq/m2/year, and replacing an artificial turf walkway could reduce GHG emissions by 1.61 kg-CO2-eq/m2/year. However, achieving these reductions depends upon maintaining the woodchip pavement for at least 2 years and using the disposed chips as energy.

Life-cycle assessment of greenhouse gas emissions from dairy production in Eastern Canada: A case study

Globally, more than 30 % of all food that is produced is ultimately lost and/or wasted through inefficiencies in the food supply chain. In the developed world this wastage is centred on the last stage in the supply chain; the end-consumer throwing away food that is purchased but not eaten. In contrast, in the developing world the bulk of lost food occurs in the early stages of the supply chain (production, harvesting and distribution). Excess food consumption is a similarly inefficient use of global agricultural production; with almost 1 billion people now classed as obese, 842 million people are suffering from chronic hunger. Given the magnitude of greenhouse gas emissions from the agricultural sector, strategies that reduce food loss and wastage, or address excess caloric consumption, have great potential as effective tools in global climate change mitigation. Here, we examine the challenges of robust quantification of food wastage and consumption inefficiencies, and their associated greenhouse gas emissions, along the supply chain. We find that the quality and quantity of data are highly variable within and between geographical regions, with the greatest range tending to be associated with developing nations. Estimation of production-phase GHG emissions for food wastage and excess consumption is found to be similarly challenging on a global scale, with use of IPCC default (Tier 1) emission factors for food production being required in many regions. Where robust food waste data and production-phase emission factors do exist—such as for the UK—we find that avoiding consumer-phase food waste can deliver significant up-stream reductions in GHG emissions from the agricultural sector. Eliminating consumer milk waste in the UK alone could mitigate up to 200 Gg CO2e year−1; scaled up globally, we estimate mitigation potential of over 25,000 Gg CO2e year−1.

Music as Magic

Life cycle assessments of greenhouse gas emissions have been developed for analyzing products "from cradle to grave": from resource extraction to waste disposal. Life cycle assessment methodology has also been applied to economies, trade between countries, aspects of production, and waste management, including CO2 capture and sequestration. Life cycle assessments of greenhouse gas emissions are often part of wider environmental assessments, which also cover other environmental impacts. Such wider-ranging assessments allow for considering "trade-offs" between (reduction of) greenhouse gas emissions and other environmental impacts and co-benefits of reduced greenhouse gas emissions. Databases exist which contain estimates of current greenhouse gas emissions linked to fossil fuel use and to many current agricultural and industrial activities. However, these databases do allow for substantial uncertainties in emission estimates. Assessments of greenhouse gas emissions linked to new processes and products are subject to even greater data-linked uncertainty. Variability in outcomes of life cycle assessments of greenhouse gas emissions may furthermore originate in different choices regarding functional units, system boundaries, time horizons, and the allocation of greenhouse gas emissions to outputs in multi-output processes. Life cycle assessments may be useful in the identification of life cycle stages that are major contributors to greenhouse gas emissions and of major reduction options, in the verification of alleged climate benefits, and to establish major differences between competing products. They may also be helpful in the analysis and development of options, policies, and innovations aimed at mitigation of climate change. The main findings from available life cycle assessments of greenhouse gas emissions are summarized, offering guidance in mitigating climate change. Future directions in developing life cycle assessment and its application are indicated. These include better handling of indirect effects, of uncertainty, and of changes in carbon stock of recent biogenic origin and improved comprehensiveness in dealing with climate warming.

The present research is aimed at contributing to the Latvian national climate policy development by projecting total GHG emissions up to 2030, by evaluating the GHG emission reduction path in the non-ETS sector at different targets set for emissions reduction and by evaluating the obtained results within the context of the obligations defined by the EU 2030 policy framework for climate and energy. The method used in the research was bottom-up, linear programming optimisation model MARKAL code adapted as the MARKAL-Latvia model with improvements for perfecting the integrated assessment of climate policy. The modelling results in the baseline scenario, reflecting national economic development forecasts and comprising the existing GHG emissions reduction policies and measures, show that in 2030 emissions will increase by 19.1 % compared to 2005. GHG emissions stabilisation and reduction in 2030, compared to 2005, were researched in respective alternative scenarios. Detailed modelling and analysis of the Latvian situation according to the scenario of non-ETS sector GHG emissions stabilisation and reduction in 2030 compared to 2005 have revealed that to implement a cost effective strategy of GHG emissions reduction first of all a policy should be developed that ensures effective absorption of the available energy efficiency potential in all consumer sectors. The next group of emissions reduction measures includes all non-ETS sectors (industry, services, agriculture, transport, and waste management).

The impact of greenhouse gas emissions in the EU food chain: A quantitative and economic assessment using an environmentally extended input-output approach

Potential of agrifood wastes in mitigation of climate change and eutrophication – Two case regions

As time and technology advances, visualization in music becomes an important role to support the music performance. Good Faith Forever is a live music performance released in 2021, created and performed by Hugo Pierre Leclercq, and is one of the examples of a unique live music performance, by making a narrative with a different perspective from the lyrics itself by blending the music and visuals together, making it an interesting subject to analyze. The objective of this research is to uncover the relationship between the lyrics and visuals of a live music performance of Good Faith Forever in 2023 as a study case. This research uses an interpretative qualitative approach using Roland Barthes' Semiotics Theory and Geoffrey Leech's Semantics Theory to analyze the visuals and lyrics. From the 2023 live performance of Good Faith Forever "The Prince” and "Neo Finale”, it is found that the lyrics and the performance tell the same stories but with different focuses, the lyrics itself focuses on the message of story, while the performance focuses on the narrative and characters living in the message of the lyrics. This implies the existence of creative freedom in interpreting the lyrics to form a similar story for the live performance. Keywords: good faith forever; live music performance; lyrics; music visualization; narratives

Major US electric utility climate pledges have the potential to collectively reduce power sector emissions by one-third

Modular construction (MC) is a promising concept with the potential to revolutionize the construction industry (CI). The sustainability aspects of MC, among its other encouraging facets, have garnered escalated interest and acclaim among the research community, especially in the context of climate change (CC) mitigation efforts. Despite numerous scholarly studies contributing to the understanding of MC, a holistic review of the prevailing literature that systematically documents the impact of utilizing MC on CC mitigation remains scarce. The study conducts a systematic literature review (SLR) of the pertinent literature retrieved from the Scopus repository to explore the relationship between MC and CC mitigation. Employing the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) protocol, the SLR was conducted on 31 shortlisted articles published between 2010 and 2023. The findings of the study reveal that MC can mitigate the climate crisis by reducing GHG emissions, curtailing resource intensiveness by enabling a circular economy (CE), fomenting energy efficiency, and fostering resourceful land use and management in the CI. A conceptual framework based on the findings of the previous literature is proposed in this study, which outlines several strategies for CC mitigation that can be implemented by the adoption of MC in the CI. The current study is a humble effort to review various offerings of MC to help mitigate CC in the era of striving for global sustainability. For industry practitioners and policymakers, this study highlights the viability of leveraging MC for CC mitigation, aiming to inspire better decision making for sustainable development in the CI. Similarly, for researchers, it presents MC as a potential tool for CC mitigation that can be further explored in terms of its associated factors, and focused frameworks can be developed.

Crop breeding has boosted global agricultural productivity over recent decades, but little is known about its contribution to climate change mitigation. Here we assess greenhouse gas emissions per unit land (GHGL) and greenhouse gas emissions per unit harvest product, i.e. carbon footprint (CFP) of winter wheat (Triticum aestivum) and winter rye (Secale cereale) from official German variety trials in the period 1983 to 2019. We assess the life cycle greenhouse gas (GHG) emissions and analyze the data using mixed effects models. We find that breeding progress led to slightly increased GHGL, amounting to ∼4–10%, but to strongly decreasing CFP, amounting to ∼13–23% in wheat and rye since 1983. With a ∼20% lower GHGL and ∼8% lower CFP in rye compared to wheat, the extension of rye production offers viable climate change mitigation potential. Finally, we find that lower CFP are associated with hybrid breeding, chemical plant protection and larger farms. We conclude that with increasing global food demand and limited cropland, breeding progress contributes considerably to climate change mitigation through reduced CFP.