Challenge clusters facing LCA in environmental decision-making—what we can learn from biofuels

Purpose Bioenergy is increasingly used to help meet greenhouse gas (GHG) and renewable energy targets. However, bioenergy’s sustainability has been questioned, resulting in increasing use of life cycle assessment (LCA). Bioenergy systems are global and complex, and market forces can result in significant changes, relevant to LCA and policy. The goal of this paper is to illustrate the complexities associated with LCA, with particular focus on bioenergy and associated policy development, so that its use can more effectively inform policymakers. Methods The review is based on the results from a series of workshops focused on bioenergy life cycle assessment. Expert submissions were compiled and categorized within the first two workshops. Over 100 issues emerged. Accounting for redundancies and close similarities in the list, this reduced to around 60 challenges, many of which are deeply interrelated. Some of these issues were then explored further at a policyfacing workshop in London, UK. The authors applied a rigorous approach to categorize the challenges identified to be at the intersection of biofuels/bioenergy LCA and policy. Results and discussion The credibility of LCA is core to its use in policy. Even LCAs that comply with ISO standards and policy and regulatory instruments leave a great deal of scope for interpretation and flexibility. Within the bioenergy sector, this has led to frustration and at times a lack of obvious direction. This paper identifies the main challenge clusters: overarching issues, application and practice and value and ethical judgments. Many of these are reflective of the transition from application of LCA to assess individual products or systems to the wider approach that is becoming more common. Uncertainty in impact assessment strongly influences planning and compliance due to challenges in assigning accountability, and communicating the inherent complexity and uncertainty within bioenergy is becoming of greater importance. Conclusions The emergence of LCA in bioenergy governance is particularly significant because other sectors are likely to transition to similar governance models. LCA is being stretched to accommodate complex and broad policy-relevant questions, seeking to incorporate externalities that have major implications for long-term sustainability. As policy increasingly relies on LCA, the strains placed on the methodology are becoming both clearer and impedimentary. The implications for energy policy, and in particular bioenergy, are large

Approaches to identify the value of seminatural habitats for conservation biological control

Invertebrates perform many vital functions in agricultural production, but many taxa are in decline, including pest natural enemies. Action is needed to increase their abundance if more sustainable agricultural systems are to be achieved. Conservation biological control (CBC) is a key component of integrated pest management yet has failed to be widely adopted in mainstream agriculture. Approaches to improving conservation biological control have been largely ad hoc. Two approaches are described to improve this process, one based upon pest natural enemy ecology and resource provision while the other focusses on the ecosystem service delivery using the QuESSA (Quantification of Ecological Services for Sustainable Agriculture) project as an example. In this project, a predictive scoring system was developed to show the potential of five seminatural habitat categories to provide biological control, from which predictive maps were generated for Europe. Actual biological control was measured in a series of case studies using sentinel systems (insect or seed prey), trade-offs between ecosystem services were explored, and heatmaps of biological control were generated. The overall conclusion from the QuESSA project was that results were context specific, indicating that more targeted approaches to CBC are needed. This may include designing new habitats or modifying existing habitats to support the types of natural enemies required for specific crops or pests

Genetic analysis of the interaction between Allium species and arbuscular mycorrhizal fungi

The response of Alliumcepa, A. roylei, A. fistulosum, and the hybrid A. fistulosum × A. roylei to the arbuscular mycorrhizal fungus (AMF) Glomus intraradices was studied. The genetic basis for response to AMF was analyzed in a tri-hybrid A. cepa × (A. roylei × A. fistulosum) population. Plant response to mycorrhizal symbiosis was expressed as relative mycorrhizal responsiveness (R′) and absolute responsiveness (R). In addition, the average performance (AP) of genotypes under mycorrhizal and non-mycorrhizal conditions was determined. Experiments were executed in 2 years, and comprised clonally propagated plants of each genotype grown in sterile soil, inoculated with G. intraradices or non-inoculated. Results were significantly correlated between both years. Biomass of non-mycorrhizal and mycorrhizal plants was significantly positively correlated. R′ was negatively correlated with biomass of non-mycorrhizal plants and hence unsuitable as a breeding criterion. R and AP were positively correlated with biomass of mycorrhizal and non-mycorrhizal plants. QTLs contributing to mycorrhizal response were located on a linkage map of the A. roylei × A. fistulosum parental genotype. Two QTLs from A. roylei were detected on chromosomes 2 and 3 for R, AP, and biomass of mycorrhizal plants. A QTL from A. fistulosum was detected on linkage group 9 for AP (but not R), biomass of mycorrhizal and non-mycorrhizal plants, and the number of stem-borne roots. Co-segregating QTLs for plant biomass, R and AP indicate that selection for plant biomass also selects for enhanced R and AP. Moreover, our findings suggest that modern onion breeding did not select against the response to AMF, as was suggested before for other cultivated species. Positive correlation between high number of roots, biomass and large response to AMF in close relatives of onion opens prospects to combine these traits for the development of more robust onion cultivars

Modular synthesis and immunological evaluation of suspected allergenic galactooligosaccharides

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The interface between land use systems research and policy: Multiple arrangements and leverages

In recent years, interest in the policy-informing role of research organisations has grown considerably. It has been argued from within the science domain that the management of land, whether at the field, farm or regional scale, can benefit from computer-based systems analysis. This proposition was examined through 26 semi-structured interviews, by conducting a workshop on modelling support in policy decision-making and investigating 11 European-based cases of policy-oriented modelling research. On basis of these materials, we assess approaches towards policy-oriented modelling within the domain of agricultural production and other environmental services of land. First. we define the boundary arrangements for our field of interest, i.e. computer-based systems analysis of agricultural production and ecosystems services. Such ideotypical classification of boundary arrangements makes explicit the institutional space in which system scientists function. This space enables certain activities, and at the same time constrains other initiatives, dependent on who is perceived to initiate and/or control research activities and to formulate objectives, and whether it is considered appropriate to integrate scientific knowledge development with policy work. Five ideotypical boundary arrangements are proposed: 'Civil mandate'; Trickle out'; 'Janus face': 'Critical participant'; and 'Knowledge broker'. In a second step, a number of critical leverage points are identified based on the 11 cases and these are addressed in relation to the five boundary arrangements. The term 'leverage point' covers means, conditions and methods that foster use of modelling work that can be changed, and thus may be part of a strategy to increase the chances that a model is used. The leverage points were: reputation of research institute and/or scientists; raising and balancing expectations: communication about and investment in the scientific basis of the modelling work; participation in model development; heterogeneous and extensive social network in policy domain: institute mandate that secures availability of stepping stones'. We conceive of two applications of our research for modellers who are interested in the use of their work in the policy sphere. First, the boundary arrangement classification helps to interpret the experiences of others and to assess the relevance of lessons and suggestions for their own context. Secondly, the combination of the boundary arrangement perspective and critical leverage points presents a basis to design an institutional pathway for enhancing impact of modelling research in the policy sphere. For those researchers functioning in a science-domain-oriented environment, the analysis in this paper suggests that there are more options than the frequently proposed 'more participation' for increasing the likelihood that their policy-oriented work is used. These include establishing contacts with research groups or institutes that are in a position to function as 'stepping stones', or engaging with others to develop a social network in the policy spher