Towards a Circular Economy in Australian Agri‐food Industry: An Application of Input‐Output Oriented Approaches for Analyzing Resource Efficiency and Competitiveness Potential

The food industry in Australia (agriculture and manufacturing) plays a fundamental role in contributing to socioeconomic sectors nationally. However, alongside the benefits, the industry also produces environmental burdens associated with the production of food. Sectorally, agriculture is the largest consumer of water. Additionally, land degradation, greenhouse gas emissions, energy consumption, and waste generation are considered the main environmental impacts caused by the industry. The research project aims to evaluate the eco‐efficiency performance of various subsectors in the Australian agri‐food systems through the use of input‐output–oriented approaches of data envelopment analysis and material flow analysis. This helps in establishing environmental and economic indicators for the industry. The results have shown inefficiencies during the life cycle of food production in Australia. Following the principles of industrial ecology, the study recommends the implementation of sustainable processes to increase efficiency, diminish undesirable outputs, and decrease the use of nonrenewable inputs within the production cycle. Broadly, the research outcomes are useful to inform decision makers about the advantages of moving from a traditional linear system to a circular production system, where a sustainable and efficient circular economy could be created in the Australian food industry.     

The Environmental Importance of Energy Use in Chemical Production

In many cases, policy makers and laymen perceive harmful emissions from chemical plants as the most important source of environmental impacts in chemical production. As a result, regulations and environmental efforts have tended to focus on this area. Concerns about energy use and greenhouse gas emissions, however, are increasing in all industrial sectors. Using a life cycle assessment (LCA) approach, we analyzed the full environmental impacts of producing 99 chemical products in Western Europe from cradle to factory gate. We applied several life cycle impact assessment (LCIA) methods to cover various impact areas. Our analysis shows that for both organic and inorganic chemical production in industrial countries, energy‐related impacts often represent more than half and sometimes up to 80% of the total impacts, according to a range of LCIA methods. Resource use for material feedstock is also important, whereas direct emissions from chemical plants may make up only 5% to 10% of the total environmental impacts. Additionally, the energy‐related impacts of organic chemical production increase with the complexity of the chemicals. The results of this study offer important information for policy makers and sustainability experts in the chemical industry striving to reduce environmental impacts. We identify more sustainable energy production and use as an important option for improvements in the environmental profile of chemical production in industrial countries, especially for the production of advanced organic and fine chemicals.     

An integrative modeling framework to evaluate the productivity and sustainability of biofuel crop production systems

The potential expansion of biofuel production raises food, energy, and environmental challenges that require careful assessment of the impact of biofuel production on greenhouse gas (GHG) emissions, soil erosion, nutrient loading, and water quality. In this study, we describe a spatially explicit integrative modeling framework (SEIMF) to understand and quantify the environmental impacts of different biomass cropping systems. This SEIMF consists of three major components: (1) a geographic information system (GIS)‐based data analysis system to define spatial modeling units with resolution of 56 m to address spatial variability, (2) the biophysical and biogeochemical model Environmental Policy Integrated Climate (EPIC) applied in a spatially‐explicit way to predict biomass yield, GHG emissions, and other environmental impacts of different biofuel crops production systems, and (3) an evolutionary multiobjective optimization algorithm for exploring the trade‐offs between biofuel energy production and unintended ecosystem‐service responses. Simple examples illustrate the major functions of the SEIMF when applied to a nine‐county Regional Intensive Modeling Area (RIMA) in SW Michigan to (1) simulate biofuel crop production, (2) compare impacts of management practices and local ecosystem settings, and (3) optimize the spatial configuration of different biofuel production systems by balancing energy production and other ecosystem‐service variables. Potential applications of the SEIMF to support life cycle analysis and provide information on biodiversity evaluation and marginal‐land identification are also discussed. The SEIMF developed in this study is expected to provide a useful tool for scientists and decision makers to understand sustainability issues associated with the production of biofuels at local, regional, and national scales.     

土地流转背景下不同经营规模青田稻鱼共生系统的环境影响差异——基于碳足迹的实证研究

在快速工业化和城镇化的影响下,农业文化遗产的保护与管理正面临着适龄劳动力大量外流、土地抛荒、传统知识体系难以维持等诸多威胁与挑战。推动土地流转、进行适度规模经营,可在农业文化遗产的保护中产生积极作用。土地流转在给遗产地带来经济效益的同时,对当地生态环境产生的影响变化同样值得关注,但现有研究却少有涉及。本研究以全球重要农业文化遗产——浙江青田稻鱼共生系统为例,将不同经营规模的稻鱼共生系统分为小农户经营模式和规模化经营模式,运用生命周期法对两种模式的碳足迹进行核算。结果表明: 小农户经营模式和规模化经营模式的碳足迹分别为6510.80和5917.00 kg CO₂-eq·hm^-2,单位产值碳足迹分别为0.13和0.10 kg CO₂-eq·yuan^-1。与小农户经营模式相比,规模化经营模式温室气体排放更少,单位产值的环境影响更小。农户扩大经营规模后,当地温室气体排放减少了4097.20 kg CO₂-eq。农业生产过程中积累的CH₄在碳足迹中占比最大,农业生产资料中复合肥是仅次于CH₄的第二大温室气体排放来源。对于小农户经营模式,饲料中使用的玉米和小麦也对温室气体排放有重要的影响。因此,推动土地适度规模经营,有利于传统农业系统实现经济效益和环境效益的双赢,对于农业文化遗产保护具有重要作用。     

Sustainability impact assessment of increasing resource use intensity in forest bioenergy production chains

Changing forest management practices towards more intensive biomass utilization for energy purposes will affect the sustainability of resource management. The Tool for Sustainability Impact Assessment was applied to evaluate the environmental, social, and economic sustainability impacts of the stepwise increased extraction of forest biomass of three typical Scandinavian Scots pine bioenergy production chains (BPCs). The assessed sources of the woody biomass were pellets as a by‐product of the sawmilling industry, wood chips deriving from early whole‐tree harvesting, and residues from final cuttings. Three commercially practiced BPCs were compared. By the additional extraction of biomass for heat production, the employment increased by 0.6 person‐years 1000 m^?3 solid wood chips, while there was a decrease in the costs and greenhouse gases emitted per unit of heat consumed. Furthermore this practice did not only add positive socio‐economic but also positive environmental impacts on sustainability, particularly on the greenhouse gas balance and the energy efficiency ratio (input to output ratio along the BPC), which was determined to be 1–24. Potential drawbacks, on the other hand, include decreasing nutrient returns to the soil and the associated potential reduction in future stand productivity. Fertilization might be needed to maintain sustainable forest growth on poor sites.     

Biotreibstoffe aus Entwicklungsländern

Biofuels from developing countries The pressure for reducing greenhouse gas emissions, rising oil prices, but also the lobbying by the agricultural sector and the automotive industry have induced the recent boom on biofuels. Due to limited land availability, competition with food production and high overall environmental impacts, the sustainability market potential for biofuels is assumed to be significantly smaller than 10% of global fuel consumption. Nevertheless, niches for the sustainable production and use of biofuels exist especially in developing countries. It is often more sustainable to use biomass feedstock for local supply of electricity and heat than producing biofuels for export.     

Integrating neglected ecological impacts of road transport into corporate management

Companies producing consumer goods are showing a greater interest in integrating the concept of ‘environmental footprinting’ into their management. Usually, one component of a footprint is road transport. While land use and greenhouse gas emissions are accounted for in life cycle assessment the focus often is on the latter. The additional impact by roads and vehicles – particularly regarding biological diversity – is seldom considered. One reason for this deficit is that findings from road ecology are not sufficiently quantifiable to integrate in life cycle or footprinting analyses. In this article, approaches for quantifying direct land use, degradation of adjunct area, and fragmentation are introduced. Methodologically, this is achieved through a literature analysis and the use of case studies. Four equations are presented that allow measuring spatial impacts of transport processes. Results can be used for more complete impact mitigation and reporting in the context of LCA.     

The greenhouse gas intensity and potential biofuel production capacity of maize stover harvest in the US Midwest

Agricultural residues are important sources of feedstock for a cellulosic biofuels industry that is being developed to reduce greenhouse gas emissions and improve energy independence. While the US Midwest has been recognized as key to providing maize stover for meeting near‐term cellulosic biofuel production goals, there is uncertainty that such feedstocks can produce biofuels that meet federal cellulosic standards. Here, we conducted extensive site‐level calibration of the Environmental Policy Integrated Climate (EPIC) terrestrial ecosystems model and applied the model at high spatial resolution across the US Midwest to improve estimates of the maximum production potential and greenhouse gas emissions expected from continuous maize residue‐derived biofuels. A comparison of methodologies for calculating the soil carbon impacts of residue harvesting demonstrates the large impact of study duration, depth of soil considered, and inclusion of litter carbon in soil carbon change calculations on the estimated greenhouse gas intensity of maize stover‐derived biofuels. Using the most representative methodology for assessing long‐term residue harvesting impacts, we estimate that only 5.3 billion liters per year (bly) of ethanol, or 8.7% of the near‐term US cellulosic biofuel demand, could be met under common no‐till farming practices. However, appreciably more feedstock becomes available at modestly higher emissions levels, with potential for 89.0 bly of ethanol production meeting US advanced biofuel standards. Adjustments to management practices, such as adding cover crops to no‐till management, will be required to produce sufficient quantities of residue meeting the greenhouse gas emission reduction standard for cellulosic biofuels. Considering the rapid increase in residue availability with modest relaxations in GHG reduction level, it is expected that management practices with modest benefits to soil carbon would allow considerable expansion of potential cellulosic biofuel production.     

Triple bottom line study of a lignocellulosic biofuel industry

Growing concerns about energy security and climate change have prompted interest in Australia and worldwide to look for alternatives of fossil fuels. Among the renewable fuel sources, biofuels are one such alternative that have received unprecedented attention in the past decade. Cellulosic biofuels, derived from agricultural and wood biomass, could potentially increase Australia's oil self‐sufficiency. In this study, we carry out a hybrid life‐cycle assessment (LCA) of a future cellulose‐refining industry located in the Green Triangle region of South Australia. We assess both the upstream and downstream refining stages, and consider as well the life‐cycle effects occurring in conventional industries displaced by the proposed biofuel supply chains. We improve on conventional LCA method by utilising multi‐region input–output (IO) analysis that allows a comprehensive appraisal of the industry's supply chains. Using IO‐based hybrid LCA, we evaluate the social, economic and environmental impacts of lignocellulosic biofuel production. In particular, we evaluate the employment, economic stimulus, energy consumption and greenhouse gas impacts of the biofuel supply chain and also quantify the loss in economic activity and employment in the paper, pulp and paperboard industry resulting from the diversion of forestry biomass to biofuel production. Our results reveal that the loss in economic activity and employment will only account for 10% of the new jobs and additional stimulus generated in the economy. Lignocellulosic biofuel production will create significant new jobs and enhance productivity and economic growth by initiating the growth of new industries in the economy. The energy return on investment for cellulosic biofuel production lies between 2.7 and 5.2, depending on the type of forestry feedstock and the travel distance between the feedstock industry and the cellulose refinery. Furthermore, the biofuel industry will be a net carbon sequester.     

Life cycle assessment of integrated food chains—a Swedish case study of two chicken meals

Background, aims, and scope  Food is a vital human need that not only provides essential nutrition but is also a key part of our social life as well as being a valued sensory experience. However, food, or rather the production chain of food, from primary production (agriculture/aquaculture/fishing) to consumer and beyond, also results in some form of environmental impact, as does transport between steps. There are several life cycle assessment studies of food products, most of them analysing the impact of the food chain of single food items. Still, detailed studies of complete meals are less frequent in the literature. In the Swedish study presented in this article, the environmental impacts of two different chicken meals (homemade and semi-prepared) were analysed. The aim of the study was to gain knowledge of the environmental impact of integrated food chains and also to explore the effect of improvement measures in the post-farm systems. To this end, two chicken meals were chosen for analysis, with two scenarios for each meal; the first scenario reflects the present conditions of the food chain, and the second scenario incorporates a number of improvement actions in the stages after the farm. Materials and methods  Input data to the model were based mainly on previous life cycle assessment (LCA) studies of Swedish food products and studies on wastage and consumer transport. Food engineering data and information from producing companies were used for modelling the industries. The improvement scenario was constructed using insight from a preceding LCA study of a meatball meal (Sonesson et al., Ambio, 34:411–418, 2005a) along with goals set out by a Swedish agreement between representatives from national and regional government, food industry sectors and retailers. The impact assessment was conducted according to Lindfors et al. (Nordic guidelines on life cycle assessment, The Nordic Council of Ministers, Copenhagen, Denmark, 1995), and the following environmental effects were included: global warming potential, eutrophication potential, acidification potential, photochemical ozone creation potential, and use of primary energy carriers and secondary energy. Results  In terms of energy use, the largest part is used in the steps after the farm for both meal types. Hence, the changes made in the improvement scenario have a significant impact on the total energy use. For the homemade and semi-prepared meal, the reduction is 15% and 20% respectively, not only due to less consumer transport and packaging but also reduction in industry (semi-prepared). Agriculture is also a significant contributor to emissions of greenhouse gases and eutrophying emissions; for the homemade meal, around 40% of the greenhouse gases originate from agriculture, and for the semi-prepared meal, the figure is 50%. The improvement actions with the greatest reduction in greenhouse gases are, again, less consumer transport and, in the case of the semi-prepared meal, the reduction in energy use in industry. Regarding eutrophication, more than 90% of the emissions originate from agriculture. Hence, the only improvement action that has an effect here is the utilisation of raw material downstream in the production chain; a slight reduction in waste still gives a notable reduction in overall eutrophic emissions. Discussion  There are two significant areas of research to reduce the impact of meals that are not explored in this study: choice of meal components and production methods in agriculture. However, the aim with this study was to explore if there are further ways of reducing the impact without going into these very complex areas, and our conclusion is that there are effective ways in the post-farm chain to cut emissions that, together with choices of diet and agricultural research, can significantly reduce the impact of our food consumption. Conclusions  Actions in the post-farm chain that can significantly reduce the environmental impact of a meal are less food thrown away in the household, fewer car trips to the supermarket (e.g. only once a week) and, for semi-prepared food products, more efficient energy use in the food industry. The study shows that consumer actions prove just as important as industrial actions. Recommendations and perspectives  Further research is needed to understand the mechanism for the disposal of food, i.e. the reasons for food being wasted, and the relationship between shopping frequency, retail location, size of packaging, etc. in order to reduce the impact of waste and consumer transport. Responsible editor: Niels Jungbluth