Vivoscape, from Latin ‘vivo’ and the English ‘scape’ is presented as a new ecosemiotic agency that integrates the interactions between biological and ecological components of a taxon with the environment. According to this model, the interactions between species and the environment are fused into a new functional unity driven by external and internal events. Sensorial and relational channels are used by a taxon to sense external energy gradients, matter, information and to return actions and proactions in an external operational environment. (...) The eco-field model is suggested as the functional ecosemiotic mechanism associated with each vivoevent. (shrink)

In a development of the ecosemiotic vivo-scape concept, a ‘safety eco-field’ is proposed as a model of a species response to the safety of its environment. The safety eco-field is based on the ecosemiotic approach which considers environmental safety as a resource sought and chosen by individuals to counter predatory pressure. To test the relative safety of different locations within a landscape, 66 bird feeders (BF) were deployed in a regular 15 × 15 m grid in a rural area, surrounded (...) by shrubs, small trees, hedgerows, and buildings. On each of 48 days in November 2021 and February and March 2022, dried mealworms were placed on each BF and counts of larvae at each BF were made at noon and dusk. The European robin (Erithacus rubecula) and the great tit (Parus major) were the most regular visitors to the BFs. Land cover at each BF was recorded. Bird behaviour at the BFs was noted from direct video recordings of the birds at nine selected BFs, totalling 32 daily sessions in March. The different behaviours of the European robin and the great tit were observable. The safety eco-field changed according to the month and the time of day. The distance of the BF from the woodland edges seemed to be important only in the morning. In the afternoon, BFs that were more distant from the woodland edges received the highest number of visits. Weather conditions were found to influence the number of mealworms removed, but this requires further investigation. A significant relationship between land cover and the number of mealworm larvae removed from the BFs was observed. Within the grid of BF, three regions were distinguishable which were related to land cover in the safety eco-field process. The experimental framework confirms the adequacy, at least for birds that have cryptic predators, to map the landscape as a proxy of safety resource. From the video recordings it was noted that the European robin visits were distributed throughout the day without apparent temporal preferences, while the great tit visits were concentrated in the central part of the day. This result has the limitation of the short period of observation (March) and should be extended to the entire period of the experiment to eventually capture seasonal variation. The experimental evidence obtained confirms that the ecosemiotic-based models of safety eco-field are an efficient approach to explain bird feeding preferences and behaviours. (shrink)

Summary A dissertation is an integral part of Higher National Diploma (HND), Bachelor of Science with Honours (BSc(Hons)) and taught Master of Science (MSc) programmes and should reflect differences in learning styles as appropriate to each level. The dissertation requirements and assessment procedures within ten environment?related undergraduate and postgraduate programmes were examined using the ?framework? approach. Two themes were examined in detail: a quantitative evaluation of characteristics which define the physical dimensions of the dissertation; and a qualitative analysis of the (...) academic rationale, aims, objectives and learning outcomes, as well as the associated assessment criteria. It is possible to differentiate between levels in terms of these two themes. There were greater similarities between the dissertations at HND and BSc(Hons) levels than between BSc(Hons) and MSc levels. Each dissertation occupies a separate, distinct place along a progressive development of a deep learning style. (shrink)