Operationalising urban sustainability: defining, measuring and modelling.

Despite its ubiquity urban sustainability is a contested concept with no widely accepted definition of what it is, or what it should look like. This lack of consensus surrounding meaning presents barriers to coherent operationalisation to bring about positive change, leading to the dominance of undertheorised indicator based approaches. Such approaches present various issues including the marginalisation of less quantifiable aspects, and the erasure of holism and interaction between relevant phenomena. This thesis seeks to develop a deeper understanding of urban sustainability, and how it can be operationalised to explore coherent ways of improving upon it. These issues are explored in three distinct research streams, centred around the descriptors of ‘define, measure, model’. Initially urban sustainability is decomposed into its two constituent terms which are reviewed in isolation, in reference to the ‘fractures’ within the bodies of literature. An integrative review utilising backward snowballing probes the origins of the three pillar paradigm of sustainability with reference to the early literature. A semi-systematic review then explores the disciplinary divide between urban studies and urban science drawing out common themes that emerge across the two. This literature analysis is followed by an exploration, through physical analytical techniques, of thermodynamic entropy as a ‘physical basis’ for measuring unsustainability. Following this, a prototype urban integrated assessment model is developed through the adaptation of Meadows et al. (2005)’s World3 model. Here the paradigm of system dynamics is investigated as a useful frame for emphasising the interaction and feedback between relevant phenomena. Whilst starting from a post-positivist research frame attempting to ‘define, measure, and model’, an epistemological shift was made within this work to a more interpretivist approach using the language of ‘understanding’; this forms an underlying meta-narrative. Through this work, the Urban1 model is forwarded as a prototype multi-scale system dynamics model presenting a novel method for both understanding and operationalising urban sustainability. This model is used to explore the relationship between the sustainability of the urban system relative to the wider global context. By emphasising feedback, cascading effects, and unintended consequences, such a modelling framework allows for deeper consideration of coupling mechanisms between subsystems both within the urban system and across the broader global scale. By running several scenarios it is demonstrated that there is no place for urban sustainability in an unsustainable world, and therefore multi-scale models are key for assessing the wider context of policy measures taken across different hierarchical scales. Thermodynamic entropy is outlined as a conceptual dead end for further exploration, and its continued popularity is shown to derive from conflation of a rigorously defined physical quantity with a metaphorical understanding. The analysis of the literature fractures underscore the political nature of urban sustainability, and it is argued that it should be viewed as a semantically open concept. A synthesis of these research streams outlines a future path for better practice in operationalisation in the future; emphasising the importance of boundaries, a choice that should be pragmatic but ensure interspatial equity; the need for clear theoretical framing rooted in the literature, stating its assumptions and understanding of terms; the importance of pluralism, both methodological and epistemological, alongside the involvement of marginalised stakeholders. These findings have implications for future endeavours attempting to operationalise urban sustainability, and offer significant considerations for future research in this area

Critical reflections of postgraduate researchers on a collaborative interdisciplinary research project

By employing a retrospective collaborative autoethnographic approach, this work aims to better understand how an interdisciplinary context shaped the authors’ experiences of British academia during their Ph.D research. The authors bring together their individual observations and experiences to collectively interrogate and critically reflect on their position as postgraduate researchers (PGRs) on a collaborative interdisciplinary research project. These reflections are taken as a lens through which to interrogate the contemporary British university. Pre-existing tensions within the academy are characterised as ‘asymmetries’ along dimensions of risk, disciplinary hierarchy, and knowledge. It is argued that the authors’ experience of uncertainty and precarity as junior academics stems principally from pre-existing structures within British academia, rather than the interdisciplinary environment in which they were immersed. By emphasising the role of the successfully trained doctoral candidate as an outcome itself, it is argued that indicators of success can be reframed, shifting the power asymmetry to place greater value on PGRs within the neoliberal academy. Highlighting the ambiguity of their convergent and divergent personal experiences, the authors suggest there is a need for a greater focus on the contested role of the PGR within the contemporary university system

Thermodynamic entropy as an indicator for urban sustainability?

As foci of economic activity, resource consumption, and the production of material waste and pollution, cities represent both a major hurdle and yet also a source of great potential for achieving the goal of sustainability. Motivated by the desire to better understand and measure sustainability in quantitative terms we explore the applicability of thermodynamic entropy to urban systems as a tool for evaluating sustainability. Having comprehensively reviewed the application of thermodynamic entropy to urban systems we argue that the role it can hope to play in characterising sustainability is limited. We show that thermodynamic entropy may be considered as a measure of energy efficiency, but must be complimented by other indices to form part of a broader measure of urban sustainability

Factors affecting consistency and accuracy in identifying modern macroperforate planktonic foraminifera

Planktonic foraminifera are widely used in biostratigraphic, palaeoceanographic and evolutionary studies, but the strength of many study conclusions could be weakened if taxonomic identifications are not reproducible by different workers. In this study, to assess the relative importance of a range of possible reasons for among-worker disagreement in identification, 100 specimens of 26 species of macroperforate planktonic foraminifera were selected from a core-top site in the subtropical Pacific Ocean. Twenty-three scientists at different career stages – including some with only a few days experience of planktonic foraminifera – were asked to identify each specimen to species level, and to indicate their confidence in each identification. The participants were provided with a species list and had access to additional reference materials. We use generalised linear mixed-effects models to test the relevance of three sets of factors in identification accuracy: participant-level characteristics (including experience), species-level characteristics (including a participant’s knowledge of the species) and specimen-level characteristics (size, confidence in identification). The 19 less experienced scientists achieve a median accuracy of 57 %, which rises to 75 % for specimens they are confident in. For the 4 most experienced participants, overall accuracy is 79 %, rising to 93 % when they are confident. To obtain maximum comparability and ease of analysis, everyone used a standard microscope with only 35× magnification, and each specimen was studied in isolation. Consequently, these data provide a lower limit for an estimate of consistency. Importantly, participants could largely predict whether their identifications were correct or incorrect: their own assessments of specimen-level confidence and of their previous knowledge of species concepts were the strongest predictors of accuracy

Dynameta: a dynamic platform for ecological meta-analyses in R Shiny

Meta-analyses have brought a significant improvement in our understanding of global biodiversity change. However, in ecology the static nature of current approaches, both in terms of the data included and the predictions presented, make meta-analyses difficult for policymakers to fully interrogate and adopt. Here we introduce Dynameta, a living-review (i.e. continually updateable) R Shiny platform for interactive ecological meta-analyses, oriented around testing the effect of anthropogenic threats on biodiversity. This platform is written as an R package and can be applied in the context of any meta-analytic PICO (Population, Intervention, Comparator, and Outcome) question concerning the effect of any threat on any taxonomic group, for any biodiversity metric and with relevance to all geographic regions. Our hope is that, alongside other existing tools, Dynameta can help encourage the broader adoption of dynamic meta-analyses in ecology

Redefining the role of urban studies Early Career Academics in the post-COVID-19 university

We are an international collective of Early Career Academics (ECAs) who met throughout 2020 to explore the implications of COVID-19 on precarious academics. With this intervention, our aims are to voice commonly shared experiences and concerns and to reflect on the extent to which the pandemic offers opportunities to redefine Higher Education and research institutions, in a context of ongoing precarity and funding cuts. Specifically, we explore avenues to build solidarity across institutions and geographies, to ensure that the conduct of urban research, and support offered to ECAs, allows for more inclusivity, diversity, security and equitability. *The Urban ECA Collective emerged from a workshop series described in this article which intended to foster international solidarity among self-defined early career academics working within urban research.ITESO, A.C

Transcriptome Analysis of the Vernalization Response in Barley (Hordeum vulgare) Seedlings

Temperate cereals, such as wheat (Triticum spp.) and barley (Hordeum vulgare), respond to prolonged cold by becoming more tolerant of freezing (cold acclimation) and by becoming competent to flower (vernalization). These responses occur concomitantly during winter, but vernalization continues to influence development during spring. Previous studies identified VERNALIZATION1 (VRN1) as a master regulator of the vernalization response in cereals. The extent to which other genes contribute to this process is unclear. In this study the Barley1 Affymetrix chip was used to assay gene expression in barley seedlings during short or prolonged cold treatment. Gene expression was also assayed in the leaves of plants after prolonged cold treatment, in order to identify genes that show lasting responses to prolonged cold, which might contribute to vernalization-induced flowering. Many genes showed altered expression in response to short or prolonged cold treatment, but these responses differed markedly. A limited number of genes showed lasting responses to prolonged cold treatment. These include genes known to be regulated by vernalization, such as VRN1 and ODDSOC2, and also contigs encoding a calcium binding protein, 23-KD jasmonate induced proteins, an RNase S-like protein, a PR17d secretory protein and a serine acetyltransferase. Some contigs that were up-regulated by short term cold also showed lasting changes in expression after prolonged cold treatment. These include COLD REGULATED 14B (COR14B) and the barley homologue of WHEAT COLD SPECIFIC 19 (WSC19), which were expressed at elevated levels after prolonged cold. Conversely, two C-REPEAT BINDING FACTOR (CBF) genes showed reduced expression after prolonged cold. Overall, these data show that a limited number of barley genes exhibit lasting changes in expression after prolonged cold treatment, highlighting the central role of VRN1 in the vernalization response in cereals

Predicting bee community responses to land-use changes: Effects of geographic and taxonomic biases

Land-use change and intensification threaten bee populations worldwide, imperilling pollination services. Global models are needed to better characterise, project, and mitigate bees' responses to these human impacts. The available data are, however, geographically and taxonomically unrepresentative; most data are from North America and Western Europe, overrepresenting bumblebees and raising concerns that model results may not be generalizable to other regions and taxa. To assess whether the geographic and taxonomic biases of data could undermine effectiveness of models for conservation policy, we have collated from the published literature a global dataset of bee diversity at sites facing land-use change and intensification, and assess whether bee responses to these pressures vary across 11 regions (Western, Northern, Eastern and Southern Europe; North, Central and South America; Australia and New Zealand; South East Asia; Middle and Southern Africa) and between bumblebees and other bees. Our analyses highlight strong regionally-based responses of total abundance, species richness and Simpson's diversity to land use, caused by variation in the sensitivity of species and potentially in the nature of threats. These results suggest that global extrapolation of models based on geographically and taxonomically restricted data may underestimate the true uncertainty, increasing the risk of ecological surprises

Superior Inhibitory Control and Resistance to Mental Fatigue in Professional Road Cyclists

Purpose: Given the important role of the brain in regulating endurance performance, this comparative study sought to determine whether professional road cyclists have superior inhibitory control and resistance to mental fatigue compared to recreational road cyclists. Methods: After preliminary testing and familiarization, eleven professional and nine recreational road cyclists visited the lab on two occasions to complete a modified incongruent colour-word Stroop task (a cognitive task requiring inhibitory control) for 30 min (mental exertion condition), or an easy cognitive task for 10 min (control condition) in a randomized, counterbalanced cross-over order. After each cognitive task, participants completed a 20-min time trial on a cycle ergometer. During the time trial, heart rate, blood lactate concentration, and rating of perceived exertion (RPE) were recorded. Results: The professional cyclists completed more correct responses during the Stroop task than the recreational cyclists (705±68 vs 576±74, p = 0.001). During the time trial, the recreational cyclists produced a lower mean power output in the mental exertion condition compared to the control condition (216±33 vs 226±25 W, p = 0.014). There was no difference between conditions for the professional cyclists (323±42 vs 326±35 W, p = 0.502). Heart rate, blood lactate concentration, and RPE were not significantly different between the mental exertion and control conditions in both groups. Conclusion: The professional cyclists exhibited superior performance during the Stroop task which is indicative of stronger inhibitory control than the recreational cyclists. The professional cyclists also displayed a greater resistance to the negative effects of mental fatigue as demonstrated by no significant differences in perception of effort and time trial performance between the mental exertion and control conditions. These findings suggest that inhibitory control and resistance to mental fatigue may contribute to successful road cycling performance. These psychobiological characteristics may be either genetic and/or developed through the training and lifestyle of professional road cyclists