Annual estimates of occupancy for bryophytes, lichens and invertebrates in the UK, 1970–2015

Here, we determine annual estimates of occupancy and species trends for 5,293 UK bryophytes, lichens, and invertebrates, providing national scale information on UK biodiversity change for 31 taxonomic groups for the time period 1970 to 2015. The dataset was produced through the application of a Bayesian occupancy modelling framework to species occurrence records supplied by 29 national recording schemes or societies (n = 24,118,549 records). In the UK, annual measures of species status from fine scale data (e.g. 1 × 1 km) had previously been limited to a few taxa for which structured monitoring data are available, mainly birds, butterflies, bats and a subset of moth species. By using an occupancy modelling framework designed for use with relatively low recording intensity data, we have been able to estimate species trends and generate annual estimates of occupancy for taxa where annual trend estimates and status were previously limited or unknown at this scale. These data broaden our knowledge of UK biodiversity and can be used to investigate variation in and drivers of biodiversity change

(Re)framing a philosophical and epistemological framework for teaching and learning in STEM: Emerging pedagogies for complexity

Today’s learners are engaging in study where access to knowledge is easier than it ever has been in human history. Rapid advancement of technology and the increasing ease with which communication and interaction can occur has dramatically changed the landscape in which teachers of science, technology, engineering and mathematics (STEM) operate. The contemporary skills that students are required to possess include inter alia problem solving, creativity, teamwork abilities, communication skills and emotional intelligence. Despite the universal acceptance of their importance, these skills are commonly cited as underdeveloped and in addition, are still accompanied by outmoded ‘traditional’ forms of teaching and assessment. While the approaches of twentieth-century education were successful in developing knowledge stores, the ubiquity of access to knowledge—coupled with the constantly changing nature of the world today—requires alternative conceptions of teaching and learning. This article focuses primarily on an exploration of learning metaphors and teaching with the overall lens of creating self-regulated and furthermore, self-determined learners. The article begins with an exploration of learning in STEM education and a critique of the pedagogical perspective, discussing why this epistemology may be insufficient for contemporary STEM learning. The article then considers an alternative and potentially more contemporary notion; the emergent pedagogic space. The article presents a theoretical model to conceptualise learning in STEM education, with the goal of informing both practice and research. The realisation of this proposed emergent pedagogical space is explored through an applied case study from a design and technology context

The potential of NH3, N2O and CH4 measurements following the 2001 outbreak of Foot and Mouth Disease in Great Britain to reduce the uncertainties in agricultural emissions abatement

There is substantial uncertainty in the effectiveness of measures to reduce emissions of agricultural trace gases, including ammonia (NH3), methane (CH4) and nitrous oxide (N2O). The only way to test whether emission abatement programmes are successful is through monitoring of air concentrations and deposition. However, where NH3 emissions have been reduced in Europe, either through abatement policies or reductions in agricultural activity, it was difficult to demonstrate the link with reduced concentrations and deposition. The outbreak of Foot and Mouth Disease (FMD) in Great Britain in 2001 provides a major case study to test the link between agricultural emissions and air concentrations. This paper examines the spatial distribution of anticipated change in emissions and concentrations of NH3, CH4 and N2O as a result of the FMD outbreak. It then assesses the extent to which atmospheric monitoring could be used to detect the changes and attribute them to the effect of FMD. Two of the areas worst affected by FMD were selected for detailed analysis: in Cumbria (N.W. England) and in Devon (S.W. England). Compared with values prior to FMD, average agricultural emissions were reduced by as much as 50–100%, with estimated reductions in atmospheric mixing ratios of 0.7–3.3 ppb for NH3, 10–60 ppb for CH4 and 0.1–0.7 ppb for N2O. For NH3 and CH4, modelled changes are larger than the precision of analytical techniques and, where sampling is made at replicate sites, the changes are also larger than the inter-annual variability of existing monitoring data. By contrast, for N2O only the largest changes occurring in Cumbria are expected to be detectable and distinguishable from inter-annual variability. Based on the results, a measurement strategy has been established to follow NH3 and CH4 concentrations during and after the period of restocking. By comparing NH3 (a reactive gas) with CH4 (an inert tracer), the measurements aim to distinguish constraints on the link between changing emissions and air concentrations. Improving this linkage is essential to demonstrate that the economic costs of emission abatement translate into environmental benefits

Horizon scanning for invasive alien species with the potential to threaten biodiversity in Great Britain

© 2014 The Authors. Global Change Biology published by John Wiley & Sons Ltd. This is an open access article under the terms of the Creative Commons Attribution‐NonCommercial‐NoDerivs License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made. The attached file is the published version of the article

Toward a value‐analytic approach to information standards

While developments in information technology enable exciting new potentials, they may, in the process, inadvertently violate important values such as autonomy or privacy. Responsible, ethical approaches to technology warrant the use of critical perspectives in evaluating our technological practices and artifacts. Key among such artifacts are information standards, influential documents that represent and perpetuate community agreements on ideal practice. In critically examining standards, values represent a promising conceptual lens. This paper advances the use of value analysis on information standards, particularly those devoted to knowledge organization. Value analysis is a methodological approach that guides the elicitation of values from artifacts. Two case studies demonstrate the application of value analysis to knowledge organization standards and their resulting data, and show how values and their implications can be discerned from these information artifacts. Value analysis must next be extended beyond standards as documents to examine the fuller ecosystem within which information standards are situated and enacted in order to fully understand their implications, uphold important community values, and maintain ethical information practices