Giant sequoia (Sequoiadendron giganteum) in the UK: carbon storage potential and growth rates

Giant sequoias (Sequoiadendron giganteum) are some of the UK's largest trees, despite only being introduced in the mid-nineteenth century. There are an estimated half a million giant sequoias and closely related coastal redwoods (Sequoia sempervirens) in the UK. Given the recent interest in planting more trees, partly due to their carbon sequestration potential and also their undoubted public appeal, an understanding of their growth capability is important. However, little is known about their growth and carbon uptake under UK conditions. Here, we focus on S. giganteum and use three-dimensional terrestrial laser scanning to perform detailed structural measurements of 97 individuals at three sites covering a range of different conditions, to estimate aboveground biomass (AGB) and annual biomass accumulation rates. We show that UK-grown S. giganteum can sequester carbon at a rate of 85 kg yr-1, varying with climate, management and age. We develop new UK-specific allometric models for S. giganteum that fit the observed AGB with r 2 > 0.93 and bias < 2% and can be used to estimate S. giganteum biomass more generally. This study provides the first estimate of the growth and carbon sequestration of UK open-grown S. giganteum and provides a baseline for estimating their longer-term carbon sequestration capacity

BRISC—An Open Source Pulmonary Nodule Image Retrieval Framework

We have created a content-based image retrieval framework for computed tomography images of pulmonary nodules. When presented with a nodule image, the system retrieves images of similar nodules from a collection prepared by the Lung Image Database Consortium (LIDC). The system (1) extracts images of individual nodules from the LIDC collection based on LIDC expert annotations, (2) stores the extracted data in a flat XML database, (3) calculates a set of quantitative descriptors for each nodule that provide a high-level characterization of its texture, and (4) uses various measures to determine the similarity of two nodules and perform queries on a selected query nodule. Using our framework, we compared three feature extraction methods: Haralick co-occurrence, Gabor filters, and Markov random fields. Gabor and Markov descriptors perform better at retrieving similar nodules than do Haralick co-occurrence techniques, with best retrieval precisions in excess of 88%. Because the software we have developed and the reference images are both open source and publicly available they may be incorporated into both commercial and academic imaging workstations and extended by others in their research

Practice ecology of sustainable travel: The importance of institutional policy-making processes beyond the traveller

© 2019 The Authors Changing mobility behaviour towards activities and actions that have a less detrimental impact on the environment, public health and society is an objective of transport policy jurisdictions globally. In line with a burgeoning body of research examining behaviour and social change, this paper explores the governmental systems that influence mobility behaviours through a social practice lens. This paper blends two social practice theoretical models, the ‘3-Elements Model’ and ‘Systems of Provision’ as a means of understanding the delivery of the Local Sustainable Transport Fund (LSTF), a central government grant scheme for English local authorities. We examine how the meanings, materials and competences within the practices of bid writing by local authorities and scheme selection by government influenced the distribution of funding to local authorities. The research starts from the principle that, where funding is provided by central government, in the case of this research that of the UK, an opportunity is created for mobility practices to change. The significance of funding is not easily theorised by the 3-Elements model but is more helpfully explained when that model is blended with the wider Systems of Provision model to create a model of practice ecology. Our theorisation allows for a rigorous exploration of the ‘practice scaffolding’ which shapes how people travel. Policymakers are recommended to consider a practice ecology approach when developing mobility management schemes to tackle air quality, climate change and obesity issues more effectively

Analysing cycling as a social practice: An empirical grounding for behaviour change

© 2014 The Authors. Published by Elsevier Ltd. Despite significant national and local efforts over the last decade to stimulate uptake of cycling in the UK, levels of cycling (particularly utility cycling) remain at around 2% of journeys. Understanding of cycling behaviour and subsequent development of interventions has typically been undertaken using an individualist approach, often relying on psychologically based models of behaviour. This paper argues that Social Practice Theory (SPT) may be a valuable addition to practitioner's toolboxes by providing an alternative means of understanding the complex dynamics between the elements that constitute the practice of utility cycling, allowing it to be considered as a social issue, rather than focusing solely on individual behaviour. This is demonstrated within the paper by the use of SPT to reanalyse quantitative and qualitative datasets that explore views and experiences of both cyclists and non-cyclists. Therein, the practice of utility cycling is described according to its three elements; materials, meaning and competences and the potential benefits of this approach are discussed; particularly its ideological shift away from 'victim blaming' and its natural support of interdisciplinary intervention design

A peer architecture for lightweight symbolic execution

Abstract We present a novel and lightweight library-based approach to symbolic execution based on a peer architecture. Rather than defining a new interpreter or compiler to build a symbolic execution engine for a particular language, we simply use the existing features of the language so that the engine works as a peer of the target program. Our approach is based on the insight that languages that provide the ability to dynamically dispatch primitive operations (e.g. many scripting languages such as Python) allow us to track symbolic values at runtime. We present an architecture and implementation of our peer architecture in Python and discuss results of running our symbolic execution engine on several well known algorithms and data structures

Variations in nitrogen, phosphorus and δ15N in Sphagnum mosses along a climatic and atmospheric deposition gradient in eastern Canada

We examined concentrations of nitrogen (N) and phosphorus (P) and δThe accepted manuscript in pdf format is listed with the files at the bottom of this page. The presentation of the authors' names and (or) special characters in the title of the manuscript may differ slightly between what is listed on this page and what is listed in the pdf file of the accepted manuscript; that in the pdf file of the accepted manuscript is what was submitted by the author